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<title>UNEP/GRID-Arendal Maps and Graphics Library</title>
<link>http://maps.grida.no/</link>
<docs>http://maps.grida.no/go/feed</docs>
<description>The UNEP/GRID-Arendal Maps and Graphics library contains hundreds of illustrations on themes related to environment and sustainable development, such as climate change, water, poverty and security. This web-site collects graphics prepared in projects and publications, with a special focus on the Arctic, Central and Eastern Europe, Central Asia and Africa. The site also includes interactive maps.</description>
<language>en-US</language>
<pubDate>Tue, 14 Feb 2006 17:15:20 --0200</pubDate>
<lastBuildDate>Thu, 24 May 2012 01:11:52 --0200</lastBuildDate>
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<managingEditor>Hugo Ahlenius &lt;mapmaster@grida.no&gt;</managingEditor>
<webMaster>mapmaster@grida.no</webMaster>
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<title>UNEP/GRID-Arendal</title>
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<link>http://maps.grida.no/</link>
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<description>UNEP/GRID-Arendal Maps and Graphics Library</description>
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<item>
<title>Basel Convention Graphics (1999 version)</title>
<link>http://maps.grida.no/go/collection/basel-convention-graphics-1999-version</link>
<description>Graphics prepared for the Basel Convention on Hazardous Waste, trade in waste, recycling and related topics. More recent information is to be found in &lt;a href=&quot;http://maps.grida.no/go/collection/collectionid/17F46277-1AFD-4090-A6BB-86C7D31FD7E7&quot;&gt;&quot;Vital Waste Graphics&quot;&lt;/a&gt;</description>
<g:publication_volume>Archive collections</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/basel-convention-graphics-1999-version</guid>
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<item>
<title>General archive</title>
<link>http://maps.grida.no/go/collection/general-archive</link>
<description>UNEP/GRID-Arendal maps and graphics database up to approximately 1998</description>
<g:publication_volume>Archive collections</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/general-archive</guid>
</item>
<item>
<title>Nordområdena (Norwegian Arctic)</title>
<link>http://maps.grida.no/go/collection/nordomr-dena-norwegian-arctic</link>
<description>A collection of graphics prepared for the Norwegian Mapping Authorities and the Norwegian Ministry of Foreign Affairs, on issues related to sustainable development and resource extractions in the Barents Sea. This set has been further edited to confirm to UNEP/GRID-Arendal best practices, rather than the Norwegian government graphics profile.</description>
<g:publication_volume>Archive collections</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/nordomr-dena-norwegian-arctic</guid>
</item>
<item>
<title>Water stress in Europe</title>
<link>http://maps.grida.no/go/collection/water-stress-in-europe</link>
<description>10 figures for the report &quot;Water stress in Europe, can the challenge be met?&quot; published in 1997. Water resources, pesticides pollution, life expectancy...</description>
<g:publication_volume>Archive collections</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/water-stress-in-europe</guid>
</item>
<item>
<title>Worldwatch collection</title>
<link>http://maps.grida.no/go/collection/worldwatch-collection</link>
<description>Maps and graphics on renewable energy and grain production in the world </description>
<g:publication_volume>Archive collections</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/worldwatch-collection</guid>
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<item>
<title>Arctic Biodiversity Trends 2010</title>
<link>http://maps.grida.no/go/collection/arctic-biodiversity-trends-2010</link>
<description>A component of the comprehensive Arctic Biodiversity Assessment (ABA) of the Arctic Council, this report provides a snapshot of the trends being observed in Arctic biodiversity today. Twenty-two indicators examine the current state of the environment. Issues include sea birds, fisheries, climate change, polar bears and traditional knowledge.</description>
<g:publication_volume>Arctic Council and working groups</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/arctic-biodiversity-trends-2010</guid>
</item>
<item>
<title>Arctic conservation collection</title>
<link>http://maps.grida.no/go/collection/arctic-conservation-collection</link>
<description>A collection of graphics, prepared together with the WWF Arctic programme and the Conservation of Arctic Flora and Fauna (CAFF) programme of the Arctic Council. Graphics cover the state and threats to conservation and biodiversity in the circum-polar Arcitc, as well as regional case studies.</description>
<g:publication_volume>Arctic Council and working groups</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/arctic-conservation-collection</guid>
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<item>
<title>Assorted illustrations for the Arctic Council</title>
<link>http://maps.grida.no/go/collection/assorted-illustrations-for-the-arctic-council</link>
<description>Maps and graphics prepared primarily for assessments and reports for working groups such as Conservation of Arctic Flora and Fauna (CAFF) and Arctic Monitoring and Assement Programme (AMAP).</description>
<g:publication_volume>Arctic Council and working groups</g:publication_volume>
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<item>
<title>CAFF and CPAN Archive</title>
<link>http://maps.grida.no/go/collection/caff-and-cpan-archive</link>
<description>Maps prepared for a report - Circumpolar Protected Areas Network (CPAN) Strategy and Action Plan - on protected areas in the Arctic, for the Conservation of Arctic Flora and Fauna (CAFF) working group and the Circumpolar Protected Areas Network (CPAN).</description>
<g:publication_volume>Arctic Council and working groups</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/caff-and-cpan-archive</guid>
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<item>
<title>Indigenous knowledge about disasters in the Russian north</title>
<link>http://maps.grida.no/go/collection/indigenous-knowledge-about-disasters-in-the-russian-north</link>
<description>Maps for a project on collecting local stories and surveys related to natural disasters among the Russian Arctic indigenous peoples (throught the RAIPON organization).</description>
<g:publication_volume>Arctic Council and working groups</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/indigenous-knowledge-about-disasters-in-the-russian-north</guid>
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<item>
<title>COP 5 Emission graphics</title>
<link>http://maps.grida.no/go/collection/cop-5-emission-graphics</link>
<description>This set of graphics was produced for the 5th Conference of the Parties (COP-5) to the UN Framework Convention on Climate Change (UNFCCC) held in Bonn, Germany 25th October to 6th November 1999. They were created in co-operation with IPCC, UNFCCC, and CICERO. Please note that these graphics are outdated, and have since been updated in new collections, see http://www.grida.no/climate for full information</description>
<g:publication_volume>Climate Change Emissions</g:publication_volume>
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<item>
<title>COP 7 Emission graphics</title>
<link>http://maps.grida.no/go/collection/cop-7-emission-graphics</link>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001. Please note that this set of graphics are outdated, and has since been replaced with more updated information, please see http://www.grida.no/climate/ for more information.
</description>
<g:publication_volume>Climate Change Emissions</g:publication_volume>
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<item>
<title>Biodiversity in Central and Eastern Europe</title>
<link>http://maps.grida.no/go/collection/biodiversity-in-central-and-eastern-europe</link>
<description>A sample with national biodiversity status information from 22 Central and Eastern Europe (CEE) and Newly Independent States (NIS) countries. </description>
<g:publication_volume>ENRIN-CEE</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/biodiversity-in-central-and-eastern-europe</guid>
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<item>
<title>Caucasus ecoregion - environment and human development issues</title>
<link>http://maps.grida.no/go/collection/caucasus-ecoregion-environment-and-human-development-issues</link>
<description>This collection of maps is prepared to support and enhance the transboundary and sub-regional cooperation in the mountain eco-region of the Caucasus in the field of conservation, management and sustainable development. The maps present a number of concerns related to conservation and development in the ecoregion. The Caucasus eco-region includes six countries - Armenia, Azerbaijan, Georgia, Iran, Russian and Turkey - and follows the eco-region definition prepared by WWF in their action plan for Caucasus.</description>
<g:publication_volume>ENRIN-CEE</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/caucasus-ecoregion-environment-and-human-development-issues</guid>
</item>
<item>
<title>Central Asia: Environment and development graphics</title>
<link>http://maps.grida.no/go/collection/central-asia-environment-and-development-graphics</link>
<description>This collection focuses on the Aral Sea region and was published as a calendar. It demonstrates the bleak outlook of the region based on several key categories including: food production, nutrition, Land use, economy, development, health, poverty, energy and biodiversity.</description>
<g:publication_volume>ENRIN-CEE</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/central-asia-environment-and-development-graphics</guid>
</item>
<item>
<title>ENRIN Archive</title>
<link>http://maps.grida.no/go/collection/enrin-archive</link>
<description>Assorted maps and graphics prepared in UNEP/GRID-Arendal projects.</description>
<g:publication_volume>ENRIN-CEE</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/enrin-archive</guid>
</item>
<item>
<title>Environment and Security (EnvSec) archive</title>
<link>http://maps.grida.no/go/collection/environment-and-security-envsec-archive</link>
<description>Assorted maps and charts from the Environment and Security (ENVSEC) Initiative - Transforming risks into cooperation of UNDP, UNEP, OSCE, NATO, UNECE and REC.</description>
<g:publication_volume>ENRIN-CEE</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-security-envsec-archive</guid>
</item>
<item>
<title>Environment and Security: Southern Caucausus</title>
<link>http://maps.grida.no/go/collection/environment-and-security-southern-caucausus</link>
<description>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</description>
<g:publication_volume>ENRIN-CEE</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-security-southern-caucausus</guid>
</item>
<item>
<title>Environment and Security: Transforming risks into cooperation - the case of Eastern Europe</title>
<link>http://maps.grida.no/go/collection/environment-and-security-transforming-risks-into-cooperation-the-case-of-eastern-europe</link>
<description>This collection highlights the importance of recognising the region’s geopolitical positioning between the EU and the Russian Federation, improving energy security without jeopardising the environment, cleaning up obsolete military infrastructure and chemicals stocks, addressing the Trasnistrian conflict in Moldova and strengthening cooperation over shared rivers and ecosystems.</description>
<g:publication_volume>ENRIN-CEE</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-security-transforming-risks-into-cooperation-the-case-of-eastern-europe</guid>
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<item>
<title>GIWA Black Sea graphics</title>
<link>http://maps.grida.no/go/collection/giwa-black-sea-graphics</link>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<g:publication_volume>ENRIN-CEE</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/giwa-black-sea-graphics</guid>
</item>
<item>
<title>Environment and Security Issues in the Southern Mediterranean Region</title>
<link>http://maps.grida.no/go/collection/environment-and-security-issues-in-the-southern-mediterranean-region</link>
<description>This report aims to describe how environmental deg- radation will affect human security in the Mediterra- nean space, paying particular attention to the Middle East and North Africa. The report looks at possible risks and degradation, and how they may impact on conflicts, but also at the potential for collaboration to solve environmental risks and build closer inter-state cooperation for the overall peace and stability of the Mediterranean region.</description>
<g:publication_volume>Environment and Security</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-security-issues-in-the-southern-mediterranean-region</guid>
</item>
<item>
<title>Environment and Security: Southern Caucausus</title>
<link>http://maps.grida.no/go/collection/environment-and-security-southern-caucausus</link>
<description>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</description>
<g:publication_volume>Environment and Security</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-security-southern-caucausus</guid>
</item>
<item>
<title>Environment and Security: Transforming risks into cooperation - the case of Eastern Europe</title>
<link>http://maps.grida.no/go/collection/environment-and-security-transforming-risks-into-cooperation-the-case-of-eastern-europe</link>
<description>This collection highlights the importance of recognising the region’s geopolitical positioning between the EU and the Russian Federation, improving energy security without jeopardising the environment, cleaning up obsolete military infrastructure and chemicals stocks, addressing the Trasnistrian conflict in Moldova and strengthening cooperation over shared rivers and ecosystems.</description>
<g:publication_volume>Environment and Security</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-security-transforming-risks-into-cooperation-the-case-of-eastern-europe</guid>
</item>
<item>
<title>Environment and Poverty Times #1: WSSD issue</title>
<link>http://maps.grida.no/go/collection/environment-and-poverty-times-1-wssd-issue</link>
<description>The Environment &amp; Poverty Times aims to explain the complex links between poverty and the environment. It shows, through short texts, maps and other illustrations, some of the manifestations of poverty and environmental conditions. It explains how environmental degradation contributes to poverty and how poor people are trapped in such a cycle. And it provides references to key publications and initiatives on sustainable development and poverty alleviation.</description>
<g:publication_volume>Environment Times</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-poverty-times-1-wssd-issue</guid>
</item>
<item>
<title>Environment and Poverty Times #2: GMEF 2000 issue</title>
<link>http://maps.grida.no/go/collection/environment-and-poverty-times-2-gmef-2000-issue</link>
<description>This edition of the Poverty and Environment Times was prepared for the 2002 World Summit on Sustainable Development in Johannesburg, South Africa. The issues is focusing on the complex, and often misunderstood links between the environment and poverty. Catchy titles such as &quot;Poverty is pollution&quot; and &quot;Healthy environment, prosperous people&quot; are misleading: they generalize the intricate interrelationships between poverty and resource mismanagement.</description>
<g:publication_volume>Environment Times</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-poverty-times-2-gmef-2000-issue</guid>
</item>
<item>
<title>Environment and Poverty Times #3: Disaster issue</title>
<link>http://maps.grida.no/go/collection/environment-and-poverty-times-3-disaster-issue</link>
<description>This edition of the Environment Times illustrates the problems and challenges before us, showing many practical examples on how useful preventive action can be taken. It lays out why we must think “environment” at every stage of disaster management, be it in preparing, preventing, mitigating or reacting.
As for the structure of the paper, the intention was to present the material in the order of the stages of disasters: from prevention early warning and preparedness to relief and reconstruction. This proved to be difficult, as we all know that ‘reconstruction starts with prevention’, but we nevertheless kept this basic roster, although certain articles could fit in different categories. The four stages are each preceded by an example of a natural event and an industrial accident, where the authors show the linkages between environmental management, risk reduction and effect on livelihoods. The end of the paper gives the floor to different industrial sectors and features the role of the local level in disaster management. Another double page is dedicated to more general refl ections on the role of environmental management in disaster risk reduction. The central pages feature a set of maps displaying issues related to disasters that possibly are not necessarily perceived as such. (Special Edition for the World Conference on Disaster Reduction January 18-22, 2005, Kobe, Japan)</description>
<g:publication_volume>Environment Times</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-poverty-times-3-disaster-issue</guid>
</item>
<item>
<title>Environment and Poverty Times #4: MDG issue</title>
<link>http://maps.grida.no/go/collection/environment-and-poverty-times-4-mdg-issue</link>
<description>This edition focuses on the linkages between the Millennium Development Goals (MDGs) and our common environment.
Regions of the world facing the most serious decline in the services provided by ecosystems are the same areas showing the slowest progress in achieving the MDGs. In sub-Saharan Africa, Central and South Asia and parts of Latin America, the burden of poverty, hunger and disease coincides with acute deterioration of natural services such as the provision of fresh water, the formation of soils to grow corps and the availiability of natural resources such as fish, fuel-wood and medicine derived from plants. We believe that certain things in life cannot be mentioned enough, and a paper shedding light on the linkages between our environment and the MDGs still stands out as highly relevant.
Even though the world has made signifi cant progress in achieving many of the goals, progress has been far from uniform across the worldor across the Goals. There are huge disparities across and within countries. One can ask if the goals merely are targets set but never met? The environment might just be the pillar upon which all the goals anf hence a more sustainable development may well fall or stand. And the environment is not a luxury only affordable when all other issues have been resolved. It is, as stated, the red ribbon running around.</description>
<g:publication_volume>Environment Times</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-poverty-times-4-mdg-issue</guid>
</item>
<item>
<title>Environment and Poverty Times #5: Pro-poor growth issue</title>
<link>http://maps.grida.no/go/collection/environment-and-poverty-times-5-pro-poor-growth-issue</link>
<description>This issue of Environment &amp; Poverty Times was released at the Fourth Tokyo International Conference on African Development (TICAD IV) in Yokohama, Japan in May 2008. The paper features a collection of short articles, maps, graphics and other illustrations that focuses on the complex links between environment and poverty reduction. The articles describe how natural resources can contribute to economic growth that also benefits the poor. With the right mixture of entrepreneurship, investments and enabling policies at the national and international levels we can create economic opportunities for people to move beyond subsistence levels. Environment and Poverty Times is a series of publications in newspaper format, presenting current issues related to development and environment.</description>
<g:publication_volume>Environment Times</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-poverty-times-5-pro-poor-growth-issue</guid>
</item>
<item>
<title>Environment and Poverty Times #6: Green Economy issue</title>
<link>http://maps.grida.no/go/collection/environment-and-poverty-times-6-green-economy-issue</link>
<description>The Environment &amp; Poverty Times aims to explain the complex links between poverty and the environment. It shows, through short texts, maps and other illustrations, some of the manifestations of poverty and environmental conditions. It explains how environmental degradation contributes to poverty and how poor people are trapped in such a cycle. And it provides references to key publications and initiatives on sustainable development and poverty alleviation.</description>
<g:publication_volume>Environment Times</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-poverty-times-6-green-economy-issue</guid>
</item>
<item>
<title>Polar Times #3</title>
<link>http://maps.grida.no/go/collection/polar-times-3</link>
<description>The Polar Environment Times No 3 was launched at the Arctic Marine Strategic Plan workshop in Reykjavik, Iceland. This issue features articles from several of the ministers that went to Svalbard in August, views on Antarctica and a story on NATO bombing Saami ranges in northern Norway</description>
<g:publication_volume>Environment Times</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/polar-times-3</guid>
</item>
<item>
<title>African Environment Outlook 2</title>
<link>http://maps.grida.no/go/collection/african-environment-outlook-2</link>
<description>The report underscores the concept of sustainable livelihoods, and the importance of the environmental initiatives in supporting them. It places in essence the human being at the center of sustainable development. The structure and design of the report strives to bring out this message as clearly as possible. The emphasis is put on what should and can be done with existing (remaining) environmental assets, in the context of identified constraints (issues), rather than focusing on what has been (already) lost.</description>
<g:publication_volume>Global Environment Outlook (GEO)</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/african-environment-outlook-2</guid>
</item>
<item>
<title>GEO Yearbook</title>
<link>http://maps.grida.no/go/collection/geo-yearbook</link>
<description>The GEO Year Book is an annual report on the changing environment produced by the United Nations Environment Programme in collaboration with many world environment experts. As a compliment to the Global Environment Outlook assessment series, this represents a more agile format with timely reports on the relevant events from the pervious year and the outlook for the upcoming years ahead.</description>
<g:publication_volume>Global Environment Outlook (GEO)</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/geo-yearbook</guid>
</item>
<item>
<title>Global Deserts Outlook</title>
<link>http://maps.grida.no/go/collection/global-deserts-outlook</link>
<description>Global Deserts Outlook examines the historical context, location and extent of the world’s deserts, as well as the fragile ecologies and unique biota of deserts. The report also aims to highlight the importance of desert ecosystem services, such as crops, oil and mineral deposits and tourism, and the challenges faced by countries with desert areas face and by their populations, and provide an outlook for the future.</description>
<g:publication_volume>Global Environment Outlook (GEO)</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/global-deserts-outlook</guid>
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<item>
<title>Global Environment Outlook 3 (GEO-3) </title>
<link>http://maps.grida.no/go/collection/global-environment-outlook-3-geo-3</link>
<description>The Global Environment Outlook (GEO) series are the flagship publications of the world's leading environmental organization. They present comprehensive and authoritative reviews and analyses of worldwide environmental conditions and trends and the policies and policy instruments available to address them.
GEO-3 is published 10 years after the Earth Summit in Rio in 1992 and in time for its successor, the 2002 World Summit on Sustainable Development in Johannesburg. It sets an action-oriented environmental agenda for the future.
Continuing the global and regional focus of the series, it complements the detailed assessment of the state of the global environment set out in GEO-2000. GEO-3 examines environmental trends over the past 30 years to provide an integrated explanation of the developments that have occurred. It not only examines the state of the environment over that period, but also the full range of social, economic, political and cultural drivers that have brought about change. Highlighting human vulnerability to environmental deterioration, it assesses effects of the spectrum of policy measures adopted.
From this retrospective analysis, GEO-3 then projects future outcomes. It develops a range of scenarios for the next 30 years, from 2002-2032, with detailed exploration of the policies and instruments available at all levels for improving environmental conditions.
Clearly organized and in accessible non-technical language, in full colour with extensive graphics, statistics, boxes and quick highlights, GEO-3 will be an essential tool for teaching and research as well as a vital guide for policy-makers and stimulus to future action.</description>
<g:publication_volume>Global Environment Outlook (GEO)</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/global-environment-outlook-3-geo-3</guid>
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<item>
<title>Global Environment Outlook 4 (GEO-4)</title>
<link>http://maps.grida.no/go/collection/global-environment-outlook-4-geo-4</link>
<description>The Global Environment Outlook (GEO) is the UN Environment Programme (UNEP) flagship assessment process and report series. The fourth report in the series, GEO-4, provides an overview of the global and regional environmental, social and economic state-and-trends over the past two decades. It highlights the interlinkages, challenges and opportunities which the environment provides for developmen and human well-being. The report also presents an outlook, using four scenarios to explore plausible futures to the year 2050, as well as policy options to address present and emerging environmental issues. </description>
<g:publication_volume>Global Environment Outlook (GEO)</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/global-environment-outlook-4-geo-4</guid>
</item>
<item>
<title>Global Outlook for Ice and Snow</title>
<link>http://maps.grida.no/go/collection/global-outlook-for-ice-and-snow</link>
<description>Global outlook for ice &amp; snow provides an up-to-date, concise review of the state of the environment and the trends in ice and snow-covered regions (cryosphere) of the world. It features case studies, illustrations, graphics and maps and serves as an educational and reference publication. With a broad target audience that includes decision-makers at many levels, the report looks at the significance of changes in the cryosphere to human well-being and the implications for policy.</description>
<g:publication_volume>Global Environment Outlook (GEO)</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/global-outlook-for-ice-and-snow</guid>
</item>
<item>
<title>GLOBIO GEO-3</title>
<link>http://maps.grida.no/go/collection/globio-geo-3</link>
<description>Regional human impact/wilderness models and scenarios for the UNEP publication Global Environment Outlook 3 (2002) on the current and future state of biodiversity, wilderness and human impact.</description>
<g:publication_volume>Global Environment Outlook (GEO)</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/globio-geo-3</guid>
</item>
<item>
<title>GLOBIO assorted maps</title>
<link>http://maps.grida.no/go/collection/globio-assorted-maps</link>
<description>Assorted maps that has been produced within the GLOBIO project from 2001 and on. Most of these maps have been prepared using the GEO-3 analyses and with regional and re-projected views.</description>
<g:publication_volume>GLOBIO - Human Impacts on the Biosphere</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/globio-assorted-maps</guid>
</item>
<item>
<title>GLOBIO GEO-3</title>
<link>http://maps.grida.no/go/collection/globio-geo-3</link>
<description>Regional human impact/wilderness models and scenarios for the UNEP publication Global Environment Outlook 3 (2002) on the current and future state of biodiversity, wilderness and human impact.</description>
<g:publication_volume>GLOBIO - Human Impacts on the Biosphere</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/globio-geo-3</guid>
</item>
<item>
<title>Last Stand of the Orangutan, Rapid Response Assessment</title>
<link>http://maps.grida.no/go/collection/last-stand-of-the-orangutan-rapid-response-assessment</link>
<description>Assessment of the current status of Orangutan (Borneo and Sumatra) with a special focus on the national park system in Indonesia. The protected areas in Indonesia are underfunded, and the current park staff are not equipped to tackle the rampant illegal logging, hunting and burning that takes places in these areas. The assessment was prepared through a collaboration with UNEP-WCMC, UNEP/GRID-Arendal together with the UNEP/UNESCO Great Apes Survival Project (GRASP).</description>
<g:publication_volume>GLOBIO - Human Impacts on the Biosphere</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/last-stand-of-the-orangutan-rapid-response-assessment</guid>
</item>
<item>
<title>Baltic GIS</title>
<link>http://maps.grida.no/go/collection/baltic-gis</link>
<description>The Baltic Sea Region GIS, Maps and Statistical Database is a result of the Baltic Drainage Basin Project (BDBP), a multi-disciplinary research project under the EU 1991-1994 Environment Research Programme. It was developed as joint effort between the Beijer Institute, Stockholm, Department of Systems Ecology, Stockholm University and UNEP/GRID-Arendal.</description>
<g:publication_volume>Nordic-Baltic Archive</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/baltic-gis</guid>
</item>
<item>
<title>Towards an environmentally sustainable Nordic Region</title>
<link>http://maps.grida.no/go/collection/towards-an-environmentally-sustainable-nordic-region</link>
<description>Maps and graphics for a presentation for a Nordic Council thematical conference in Gothenburg 1998.</description>
<g:publication_volume>Nordic-Baltic Archive</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/towards-an-environmentally-sustainable-nordic-region</guid>
</item>
<item>
<title>Mapping indicators of poverty in West Africa </title>
<link>http://maps.grida.no/go/collection/mapping-indicators-of-poverty-in-west-africa</link>
<description>A pilot study to examine the relationship between the location of rural poor population and land use potential in West Africa, based on 'best available data', using Geographic Information Systems technology.</description>
<g:publication_volume>Poverty Mapping - Poverty-Environment issues</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/mapping-indicators-of-poverty-in-west-africa</guid>
</item>
<item>
<title>Poverty-biodiversity mapping applications </title>
<link>http://maps.grida.no/go/collection/poverty-biodiversity-mapping-applications</link>
<description>Discussion paper for the session &quot;Decision-support systems - Their value in addressing health-poverty-conservation links&quot; at the IUCN World Conservation Congress, November 17-25 2004, Bangkok, Thailand.
This report was been written by Mathilde Snel for UNEP/GRID-Arendal. It includes some extracts from a recent summary on poverty mapping application in the health sector, written by Anna Ballance. Maps and graphics were prepared by Hugo Ahlenius. The report was reviewed by Hugo Ahlenius, Marianne Fernagut, and Otto Simonett.</description>
<g:publication_volume>Poverty Mapping - Poverty-Environment issues</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/poverty-biodiversity-mapping-applications</guid>
</item>
<item>
<title>Pro-poor growth and natural resources – the economics and politics</title>
<link>http://maps.grida.no/go/collection/pro-poor-growth-and-natural-resources-the-economics-and-politics</link>
<description>One of the keys to sustainable development and the eradication of poverty is the management of our shared natural resources. This collection of graphics were prepared for a publiction for the Organisation for Economic Co-operation and Development (OECD) on economic growth, poverty and natural resources</description>
<g:publication_volume>Poverty Mapping - Poverty-Environment issues</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/pro-poor-growth-and-natural-resources-the-economics-and-politics</guid>
</item>
<item>
<title>Blue Carbon - The Role of Healthy Oceans in Binding Carbon</title>
<link>http://maps.grida.no/go/collection/blue-carbon-the-role-of-healthy-oceans-in-binding-carbon</link>
<description>Very large cuts in emissions of greenhouse gases are needed if we are to avoid the worst effects of global climate change. This report describes the vital contribution that ecosystems can and must make to these efforts.</description>
<g:publication_volume>Rapid Response Assessment</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/blue-carbon-the-role-of-healthy-oceans-in-binding-carbon</guid>
</item>
<item>
<title>Green Hills, Blue Cities - an Ecosystems Approach to Water Resources Management for African Cities</title>
<link>http://maps.grida.no/go/collection/green-hills-blue-cities-an-ecosystems-approach-to-water-resources-management-for-african-cities</link>
<description>Of the one billion people living on the African continent, about 40 per cent lives in urban areas. Between 1990 and 2010, the total urban population in Africa doubled from 205 million to 400 million, and by 2050, it is expected that this will triple to 1.23 billion. Of the total urban population, 60 per cent is living in slum conditions. In a time of rapid urban growth, Africa is likely to experience some of the most severe impacts of climate change, particularly when in terms of water and food security. This places huge pressures on the growing urban populations as well as the surrounding urban ecosystems on which they depend.
This report, jointly produced by UNEP and UN-HABITAT in collaboration with the Africa Ministers’ Council on Water (AMCOW) and funded by Tongji University, the Ministry of Science and Technology of China and Bayer Foundation, shows that there is a way forward for a more sustainable future where restoration of ecosystems, often in the green hills and watersheds surrounding cities, can provide cheaper, efficient and more resilient water supply systems in a rapidly changing Africa.</description>
<g:publication_volume>Rapid Response Assessment</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/green-hills-blue-cities-an-ecosystems-approach-to-water-resources-management-for-african-cities</guid>
</item>
<item>
<title>In Dead Water - Climate Change, Pollution, Over-harvest, and Invasive Species in the World's Fishing Grounds</title>
<link>http://maps.grida.no/go/collection/in-dead-water-climate-change-pollution-over-harvest-and-invasive-species-in-the-world-s-fishing-grounds</link>
<description>UNEP rapid response assessment on the state of the world's seas. In this report, the locations of the most productive fishing grounds in the World – from shallow, coastal waters to the deep and high seas- are compared to projected scenarios of climate change, ocean acidification, coral bleaching, intensity of fisheries, land-based pollution, increase of invasive species infestations and growth in coastal development.</description>
<g:publication_volume>Rapid Response Assessment</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/in-dead-water-climate-change-pollution-over-harvest-and-invasive-species-in-the-world-s-fishing-grounds</guid>
</item>
<item>
<title>Last Stand of the Orangutan, Rapid Response Assessment</title>
<link>http://maps.grida.no/go/collection/last-stand-of-the-orangutan-rapid-response-assessment</link>
<description>Assessment of the current status of Orangutan (Borneo and Sumatra) with a special focus on the national park system in Indonesia. The protected areas in Indonesia are underfunded, and the current park staff are not equipped to tackle the rampant illegal logging, hunting and burning that takes places in these areas. The assessment was prepared through a collaboration with UNEP-WCMC, UNEP/GRID-Arendal together with the UNEP/UNESCO Great Apes Survival Project (GRASP).</description>
<g:publication_volume>Rapid Response Assessment</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/last-stand-of-the-orangutan-rapid-response-assessment</guid>
</item>
<item>
<title>Living Planet: Connected Planet, Rapid Response Assessment</title>
<link>http://maps.grida.no/go/collection/living-planet-connected-planet-rapid-response-assessment</link>
<description>Preventing the end of the world's wildlife migrations through ecological networks</description>
<g:publication_volume>Rapid Response Assessment</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/living-planet-connected-planet-rapid-response-assessment</guid>
</item>
<item>
<title>Sick Water - The Central Role of Wastewater Management in Sustainable Development</title>
<link>http://maps.grida.no/go/collection/sick-water-the-central-role-of-wastewater-management-in-sustainable-development</link>
<description>The statistics are stark: Globally, two million tons of sewage, industrial and agricultural waste is discharged into the world’s waterways and at least 1.8 million children under five years-old die every year from water related disease, or one every 20 seconds.</description>
<g:publication_volume>Rapid Response Assessment</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/sick-water-the-central-role-of-wastewater-management-in-sustainable-development</guid>
</item>
<item>
<title>The Environmental Food Crisis - The Environment's Role in Averting Future Food Crises</title>
<link>http://maps.grida.no/go/collection/the-environmental-food-crisis-the-environment-s-role-in-averting-future-food-crises</link>
<description>A new rapid response assessment report released by UNEP warns that up to 25% of the world’s food production may become lost due to environmental breakdown by 2050 unless action is taken. Prepared by the Rapid Response Assessment Team at UNEP/GRID-Arendal and UNEP-WCMC, the report provides the first summary by the UN of how climate change, water stress, invasive pests and land degradation may impact world food security, food prices and life on the planet and how we may be able to feed the world in a more sustainable manner. The report concludes that we need to get smart and more creative about recycling food wastes and fish discards into animal feed. While major efforts have gone into increasing efficiency in the traditional energy sector, food energy efficiency has received too little attention.</description>
<g:publication_volume>Rapid Response Assessment</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/the-environmental-food-crisis-the-environment-s-role-in-averting-future-food-crises</guid>
</item>
<item>
<title>The Environmental Food Crisis - The Environment's Role in Averting Future Food Crises [French]</title>
<link>http://maps.grida.no/go/collection/the-environmental-food-crisis-the-environment-s-role-in-averting-future-food-crises-french</link>
<description>Après une tendance à la baisse qui a duré une bonne centaine d'années, les prix des produits alimentaires ont connu ces dernières années une envolée sans précédent au cours du siècle écoulé, tant par son ampleur et sa durée que par le nombre de groupes de produits dont les prix ont augmenté. </description>
<g:publication_volume>Rapid Response Assessment</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/the-environmental-food-crisis-the-environment-s-role-in-averting-future-food-crises-french</guid>
</item>
<item>
<title>The Last Stand of the Gorilla - Environmental Crime and Conflict in the Congo Basin</title>
<link>http://maps.grida.no/go/collection/the-last-stand-of-the-gorilla-environmental-crime-and-conflict-in-the-congo-basin</link>
<description>The fate of the great apes is closely tied to ours as they inhabit some of the last remaining tropical rainforests – ecosystems that not only assist in supplying water, food and medicine but also play a global role in carbon sequestration and thus combating climate change.</description>
<g:publication_volume>Rapid Response Assessment</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/the-last-stand-of-the-gorilla-environmental-crime-and-conflict-in-the-congo-basin</guid>
</item>
<item>
<title>The Natural Fix? - The Role of Ecosystems in Climate Mitigation</title>
<link>http://maps.grida.no/go/collection/the-natural-fix-the-role-of-ecosystems-in-climate-mitigation</link>
<description>Very large cuts in emissions of greenhouse gases are needed if we are to avoid the worst effects of global climate change. This report describes the vital contribution that ecosystems can and must make to these efforts.</description>
<g:publication_volume>Rapid Response Assessment</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/the-natural-fix-the-role-of-ecosystems-in-climate-mitigation</guid>
</item>
<item>
<title>Women at the Frontline of Climate Change - Gender Risks and Hopes</title>
<link>http://maps.grida.no/go/collection/women-at-the-frontline-of-climate-change-gender-risks-and-hopes</link>
<description>Women are often in the frontline in respect to the impacts of a changing climate. Globally the world is seeing increasingly frequent droughts and floods which are having economic but also profound social consequences. The women and people of Asia are currently at greatest risk with over 100 million people affected in this region annually.</description>
<g:publication_volume>Rapid Response Assessment</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/women-at-the-frontline-of-climate-change-gender-risks-and-hopes</guid>
</item>
<item>
<title>State of the Environment Norway 98</title>
<link>http://maps.grida.no/go/collection/state-of-the-environment-norway-98</link>
<description>1998 edition of the Norway state of the environment report. Please note that this publication has since been replaced by http://www.environment.no/</description>
<g:publication_volume>State of Environment Reports</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/state-of-the-environment-norway-98</guid>
</item>
<item>
<title>Balkan Vital Graphics</title>
<link>http://maps.grida.no/go/collection/balkan-vital-graphics</link>
<description>Environmental protection is one of the areas where the Balkan countries still face a big challenge to catch up with their western neighbours. After the 1990s conflicts and the breakup of Yugoslavia, six new Balkan states emerged. Apart from integrating environmental concerns into the new policies, a major challenge is environmental management across new borders. What used to be six international river basins in the Balkans have now evolved into 13 internationally shared river basins and four trans-boundary lake basins.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/balkan-vital-graphics</guid>
</item>
<item>
<title>Kick the Habit: A UN Guide to Climate Neutrality</title>
<link>http://maps.grida.no/go/collection/kick-the-habit-a-un-guide-to-climate-neutrality</link>
<description>A new UNEP publication, written and produced by UNEP/GRID-Arendal for World Environment Day 2008, shows how various levels of society can work towards climate neutrality. Written and reviewed by experts from many disciplines and various countries, the book is aimed at a broad audience, with solutions for individuals, small and large businesses, NGOs, international organizations, cities and countries.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/kick-the-habit-a-un-guide-to-climate-neutrality</guid>
</item>
<item>
<title>Vital Arctic Graphics</title>
<link>http://maps.grida.no/go/collection/vital-arctic-graphics</link>
<description>Vital Arctic Graphics is a compilation of illustrations and case studies intended to describe the Arctic, the livelihoods of Arctic indigenous peoples and the future well-being of this region. It summarizes some of the key threats to the future sustainability of the Arctic including the rapid pace of climate change, worrying levels of persistent organic and heavy metal pollutants, and increasing natural resource exploration. The coastal regions are particularly important to the peoples of the Arctic and their current protection status is therefore given particular focus.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-arctic-graphics</guid>
</item>
<item>
<title>Vital Arctic Graphics (2004 edition)</title>
<link>http://maps.grida.no/go/collection/vital-arctic-graphics-2004-edition</link>
<description>Vital Arctic Graphics is a compilation of illustrations and case studies intended to describe the Arctic, the livelihoods of Arctic indigenous peoples and the future well-being of this region. It summarizes some of the key threats to the future sustainability of the Arctic including the rapid pace of climate change, worrying levels of persistent organic and heavy metal pollutants, and increasing natural resource exploration. The coastal regions are particularly important to the peoples of the Arctic and their current protection status is therefore given particular focus. This edition was prepared for the UNEP Governing council 2004, and has since been superceded by Vital Arctic Graphics http://maps.grida.no/go/collection/collectionid/415C76C8-85AD-4135-B0D4-A0D5FA0C557D</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-arctic-graphics-2004-edition</guid>
</item>
<item>
<title>Vital Caspian Graphics</title>
<link>http://maps.grida.no/go/collection/vital-caspian-graphics</link>
<description>In recent years the Caspian Sea has been the focus of increased global attention. The world-wide decline in oil and gas reserves and the corresponding rise in the price of hydrocarbon derivatives have heightened interest in an area where there is still growth potential in oil and gas exploration. In addition, the region presents a wealth of opportunities in other areas, including bioresources, transport corridors, and not least ecotourism. These new ventures may bring increased prosperity, but they also put pressure on traditional rural communities and the environment.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-caspian-graphics</guid>
</item>
<item>
<title>Vital Climate Change Graphics for Latin America and the Caribbean (2010)</title>
<link>http://maps.grida.no/go/collection/vital-climate-change-graphics-for-latin-america-and-the-caribbean-2010</link>
<description>Climate change – its causes, its global consequences and the magnitude of its expected effects on both ecosystems and human activities – will be one of the greatest challenges of this century. It will significantly alter current patterns of production, distribution and consumption, as well as the overall lifestyles of modern societies.
During the present century, countries will be compelled to deal with two simultaneous challenges: adapting to the new climate conditions and working to mitigate them. This will require an international agreement that recognizes historical, but differentiated, responsibilities. The Latin American and the Caribbean region is not immune to this challenge – one of the most difficult confronting modern economies – and will have to transition to a sustainable development strategy that pursues a low-carbon path and promotes equity and social inclusion.
The United Nations Development Programme (UNEP), the Economic Commission for Latin America and the Caribbean (ECLAC) – through its Sustainable Development and Human Settlements Division – and GRID-Arendal hereby present Vital Climate Change Graphics for Latin America and the Caribbean. The objective of this work is to show, in a clear and articulate way, through charts, maps and detailed analyses, the status of climate change and its implications for the region. This document, in addition to contributing to the study and debate on the phenomenon of global climate change and its effects on the region, also provides a reference source for decision makers in both the public and private spheres.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-climate-change-graphics-for-latin-america-and-the-caribbean-2010</guid>
</item>
<item>
<title>Vital Climate Change Graphics Update</title>
<link>http://maps.grida.no/go/collection/vital-climate-change-graphics-update</link>
<description>Vital Climate Change Graphics was first published in 2000 by the United Nations Environment Programme (UNEP) and GRID-Arendal ( Based on the ?ndings of the Second Assessment Report (SAR) of the Intergovernmental Panel on Climate Change (IPCC), it presented a collection of graphics focussing on the environmental and socio-economic impacts of climate change
This updated edition, launched in February 2005, is based on the Third Assessment Report (TAR) of the IPCC that was published in 2001.
The publication of this second edition was prompted by the popularity of the first edition and the obvious need for providing updated information to our readers. The contents of this publication are accessible on this web site where all the graphics are reproduced in data formats that could be downloaded for further use.
</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-climate-change-graphics-update</guid>
</item>
<item>
<title>Vital Climate Graphics</title>
<link>http://maps.grida.no/go/collection/vital-climate-graphics</link>
<description>UNEP has been active in disseminating information for decision-making and promoting awareness of climate change. In cooperation with the Convention's secretariat, UNEP is taking action to promote the implementation of Article 6 of the Convention, which addresses public awareness, education and training. As part of this effort, UNEP's Global Resources Information Database (GRID) office in Arendal conceived an idea to develop an information package called Vital Climate Graphics.
This first set of graphics focuses on the environmental and socio-economic impacts of climate change. The graphics are based primarily on the IPCC's Second Assessment Report (SAR), especially the contribution of Working Group II on Impacts, Adaptation and Mitigation of Climate Change and on the IPCC Special Report on Regional Impacts of Climate Change. It is our hope that these Vital Climate Graphics find a wide and receptive audience.
</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-climate-graphics</guid>
</item>
<item>
<title>Vital Climate Graphics Africa</title>
<link>http://maps.grida.no/go/collection/vital-climate-graphics-africa</link>
<description>This set of 25 graphics focuses on the special challenges that Africa faces due to expected long term changes in climate. The graphics indicate that temperature rise in Africa corresponds to global temperature rise, and that adverse impacts including extremes, are spread across the diverse environments of Africa, putting a huge proportion of African continent at great risk.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-climate-graphics-africa</guid>
</item>
<item>
<title>Vital Climate Graphics Latin America and the Caribbean</title>
<link>http://maps.grida.no/go/collection/vital-climate-graphics-latin-america-and-the-caribbean</link>
<description>Vital Climate Graphics Latin America and the Caribbean is a collection of graphics that highlight greenhouse gas emission trends, observational evidence, and projected impacts of warming and adverse weather events in the region.
Despite the relatively small contribution of Latin America and the Caribbean to global warming, the fragile natural environments, livelihoods and resource-dependent economies of the region could be threatened by the impacts of global climate change.
This collection of graphics is designed to present the complex subject of climate change into material that can be useful to a broad range of readers.
</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-climate-graphics-latin-america-and-the-caribbean</guid>
</item>
<item>
<title>Vital Forest Graphics</title>
<link>http://maps.grida.no/go/collection/vital-forest-graphics</link>
<description>Forests are not only important for the 1.6 billion people who depend on them for their livelihoods, but for the world's population at large. Forests play a critical role in the Earth's life support system, including global carbon and hydrological cycles.
To help communicate the value of forests to policy/makers and the wider public, three United Nations organizations / entities UNEP, FAO and UNFF joined efforts to analyse, synthsize and illustrate tropical forest issues.
The Vital Forest Graphics provides an overview of the global trends in forest cover and looks specifically at the four largest forest ecosystems and analyses the trends and challenges in their conservation and management. It scrutinizes some of the key drivers behind forest loss, including the increasing demand for commodities and energy. Finally, it reviews some of the best practices for sustainable management of forest, including management of forest, including regulatory regimes, participatory management and economic incentives.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-forest-graphics</guid>
</item>
<item>
<title>Vital Ozone Graphics</title>
<link>http://maps.grida.no/go/collection/vital-ozone-graphics</link>
<description>Vital ozone Graphics is a compilation of illustrations and case studies intended to describe the issues dealing with the depletion and condition of the Ozone layer encasing earth. the ozone layer filters out dangerous ultraviolet (UV) radiation from the sun, thus protecting life on Earth. Scientists believe that the ozone layer was formed about 400 million years ago, essentially remaining undisturbed for most of that time. In 1974, two chemists from the University of California startled the world community with the discovery that emissions of man-made chlorofluorocarbons (CFCs), a widely used group of industrial chemicals, might be threatening the ozone layer.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-ozone-graphics</guid>
</item>
<item>
<title>Vital Ozone Graphics 2.0 - Climate Link [French]</title>
<link>http://maps.grida.no/go/collection/vital-ozone-graphics-2-0-climate-link-french</link>
<description>The efforts of the Parties to the Montreal Protocol have, over more than 20 years, translated scientific realities into political decisions leading to concrete action on the ground. The experience of this Protocol can act as both guide and inspiring example of the multilateral system at its best, and should help build confidence for future multilateral environmental agreements.
This second, revised edition of “Vital Ozone Graphics” sheds a light onto the latest decisions taken by the Parties to the Montreal Protocol to accelerate the phase out of HCFCs and the implications this has on the use of replacement chemicals. It also focuses on the links to climate both physically up in the air and on the institutional ground of international treaty negotiations and discusses the remaining challenges posed by the large amounts of ozone killer banks still present in equipment in use and stocked away, only safe for the atmosphere once entirely destroyed.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-ozone-graphics-2-0-climate-link-french</guid>
</item>
<item>
<title>Vital Ozone Graphics 2.0 - Climate Link [Russian]</title>
<link>http://maps.grida.no/go/collection/vital-ozone-graphics-2-0-climate-link-russian</link>
<description>Предпринятые за прошедшие 20 лет усилия государств – участников Монреальского протокола способствовали трансформации научных реалий в политические решения, которые привели к конкретным действиям на местах. Накопленный в рамках Протокола опыт может служить как путеводителем, так и вдохновляющим примером эффективной многосторонней системы и должен способствовать процессу укрепления доверия к будущим многосторонним соглашениям в области охраны окружающей среды.
Во втором, исправленном издании «Озоновый слой. Основные диаграммы» освещаются недавно принятые сторонами Монреальского протокола решения по ускорению процесса искоренения ГХФУ, и описываются последствия данного процесса в сфере использования альтернативных химикатов. В докладе также акцентируется внимание на физической и юридической связях между климатом и международными соглашениями по охране окружающей среды. В нем также изложены проблемы, связанные со все еще сохраняющимся значительным количеством разрушающих озоновый слой веществ, которые содержатся в используемых и складированных приборах и которые станут безопастными для атмосферы только после их полного уничтожения.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-ozone-graphics-2-0-climate-link-russian</guid>
</item>
<item>
<title>Vital Waste Graphics</title>
<link>http://maps.grida.no/go/collection/vital-waste-graphics</link>
<description>The publication “Vital Waste Graphics” was initiated by the Basel Convention Secretariat and produced in partnership with the Division of Environmental Conventions (DEC) of UNEP, Grid-Arendal and the Division of Early Warning Assessment-Europe of UNEP. It is being published for the seventh meeting of the Conference to the Parties of the Basel Convention (COP7).
</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-waste-graphics</guid>
</item>
<item>
<title>Vital Waste Graphics 2</title>
<link>http://maps.grida.no/go/collection/vital-waste-graphics-2</link>
<description>The second edition of Vital Waste Graphics looks at the lifecycle of products and provides a wealth of data, text and graphics that shed a light on types of waste that are usually hidden to the consumers.
Vital Waste Graphics II was produced by UNEP/GRID-Arendal in collaboration with the Secretariat of the Basel Convention on the Control of Transboundary Movements of Wastes and their Disposal on the occasion of the 8th Conference of Parties held in Nairobi 27 November until 1 December, 2006. It was co-financed by The Basel Convention Secretariat and UNEP's Division of Environmental Law and Conventions (DELC). </description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-waste-graphics-2</guid>
</item>
<item>
<title>Vital Water Graphics</title>
<link>http://maps.grida.no/go/collection/vital-water-graphics</link>
<description>The United Nations Environment Programme (UNEP) has been at the forefront of assessing and monitoring global water resources and presenting information on their use and management for 30 years. UNEP has compiled this report in order to provide an easily accessible resource on the state of the world's waters. The goal of this publication is to produce a clear overview, through a set of graphics, maps and other illustrations, of the state of the world's fresh and marine waters. It also illustrates the causes, effects, trends and threats facing our water sources, with examples of areas of major concern and future scenarios for the use and management of fresh, coastal and marine waters.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-water-graphics</guid>
</item>
<item>
<title>Vital Water Graphics 2</title>
<link>http://maps.grida.no/go/collection/vital-water-graphics-2</link>
<description>The United Nations Environment Programme (UNEP) has been at the forefront of assessing and monitoring global water resources and presenting information on their use and management for 30 years. UNEP has compiled this report in order to provide an easily accessible resource on the state of the world's waters. The goal of this publication is to produce a clear overview, through a set of graphics, maps and other illustrations, of the state of the world's fresh and marine waters. It also illustrates the causes, effects, trends and threats facing our water sources, with examples of areas of major concern and future scenarios for the use and management of fresh, coastal and marine waters.</description>
<g:publication_volume>Vital Graphics</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/vital-water-graphics-2</guid>
</item>
<item>
<title>World Resources 2008: Roots of Resilience - Growing the Wealth of the Poor</title>
<link>http://maps.grida.no/go/collection/world-resources-2008-roots-of-resilience-growing-the-wealth-of-the-poor</link>
<description>The principles presented in the World Resources 2008 repor offers a way to screen development initiatives to ensure they best serve the poor by including investments in long-term conservation of the planet's natural wealth. Using community based natural resources management and support to rural enterprises ensures a new direction for the future.</description>
<g:publication_volume>World Resources Report</g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/world-resources-2008-roots-of-resilience-growing-the-wealth-of-the-poor</guid>
</item>
<item>
<title>African environment collection</title>
<link>http://maps.grida.no/go/collection/african-environment-collection</link>
<description>Assorted graphics, on issues related to environment and livelihoods in Africa</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/african-environment-collection</guid>
</item>
<item>
<title>Barentswatch Atlas</title>
<link>http://maps.grida.no/go/collection/barentswatch-atlas</link>
<description>This set of maps and graphics shows physical geography, population and urban areas, forests and protected areas, fauna (wildlife) distribution and threats to the environment in the Barents Sea region (north of the Russian Federation and northern Scandinavia). </description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/barentswatch-atlas</guid>
</item>
<item>
<title>Continental Shelf - The Last Maritime Zone</title>
<link>http://maps.grida.no/go/collection/continental-shelf-the-last-maritime-zone</link>
<description>During the past decade, many coastal States have been engaged in peacefully establishing the limits of their maritime jurisdiction. This represents an historical milestone towards the defnition of maritime sovereignty, and presents enormous economic opportunities forcoastal States, but also brings new environmental challenges and responsibilities.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/continental-shelf-the-last-maritime-zone</guid>
</item>
<item>
<title>EEA reports</title>
<link>http://maps.grida.no/go/collection/eea-reports</link>
<description>Graphics prepared by UNEP/GRID-Arendal for European Environment Agency (EEA) reports in 2007, primarily for the UNECE Sixth Ministerial Conference 'Environment for Europe' in October 2007.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/eea-reports</guid>
</item>
<item>
<title>Environment and Security: Central Asia - Ferghana/Osh/Khujand Area</title>
<link>http://maps.grida.no/go/collection/environment-and-security-central-asia-ferghana-osh-khujand-area</link>
<description>This is part of an in-depth assessment report of the environmental and security situation in the Ferghana valley that was released on the occasion of the conference in Almaty, Kazakhstan, 27 May 2005. The report is part of a one-year process carried out in close collaboration with the three countries, has identified several clusters of issues on the environment-security interface.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/environment-and-security-central-asia-ferghana-osh-khujand-area</guid>
</item>
<item>
<title>High mountain glaciers and climate change</title>
<link>http://maps.grida.no/go/collection/high-mountain-glaciers-and-climate-change</link>
<description>Challenges to human livelihoods and adaptation
Climate change is causing signifcant mass loss of glaciers in high mountains worldwide. Although glacier systems show a great amount of inherent complexity and variation, there are clear overall trends indicating global glacier recession, which is likely to accelerate in coming decades. Large gaps remain in our understanding and ability to model accurately the key processes and cause-effect relationships driving glacier response to climate change. In addition, a lot of data on glacier mass changes are not available to the public due to national interests concerning water supply.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/high-mountain-glaciers-and-climate-change</guid>
</item>
<item>
<title>International Polar Year (IPY) educational posters</title>
<link>http://maps.grida.no/go/collection/international-polar-year-ipy-educational-posters</link>
<description>There have been five posters prepared, with high-school age students as the main target groups. Each poster stands on its own but is recognizable as part of the series through the common design template. All the posters includes illustrations and text highlighting the human dimension of the poster theme - photos with people and text showing how people are affected and why they should care. The lifespan of these products is not limited to the IPY period (March 2007 - March 2009) and the ambition is that these will be useful beyond this period.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/international-polar-year-ipy-educational-posters</guid>
</item>
<item>
<title>IAASTD - International assessment of agricultural science and technology for development</title>
<link>http://maps.grida.no/go/collection/iaastd-international-assessment-of-agricultural-science-and-technology-for-development</link>
<description>The International Assessment of Agricultural Science and Technology for Development (IAASTD) coincides with the widespread realization that despite significant scientific and technological achievements in our ability to increase agricultural productivity, we have been less attentive to some of the unintended social and ecological consequences of our achievements. We are now in a good position to reflect on these consequences and to outline various policy options to meet the challenges ahead, perhaps best characterized as the need for food and livelihood security under increasingly constrained environmental conditions from within and outside the realm of agriculture and globalized economic systems.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/iaastd-international-assessment-of-agricultural-science-and-technology-for-development</guid>
</item>
<item>
<title>Kick the Habit: A UN Guide to Carbon Neutrality</title>
<link>http://maps.grida.no/go/collection/kick-the-habit-a-un-guide-to-carbon-neutrality</link>
<description>A UN Guide to Climate Neutrality</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/kick-the-habit-a-un-guide-to-carbon-neutrality</guid>
</item>
<item>
<title>Many Strong Voices - Turning Vulnerability into Strength</title>
<link>http://maps.grida.no/go/collection/many-strong-voices-turning-vulnerability-into-strength</link>
<description>Climate change presents the human race with profound choices that go beyond the current debate over new technologies, economic, and social costs and even concerns over environmental impacts. UN Secretary General Ban Ki-moon has called climate change the “moral imperative and the defning issue of our era.”</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/many-strong-voices-turning-vulnerability-into-strength</guid>
</item>
<item>
<title>Millennium Ecosystem Assessment</title>
<link>http://maps.grida.no/go/collection/millennium-ecosystem-assessment</link>
<description>Since the inception of global assessments on ozone depletion and climate change, the global policy process has been better informed, and decision-makers are able to take more effective and timely decisions. The Millennium Ecosystem Assessment followed in the footsteps of these assessments and was designed to meet the need for information about the consequences of ecosystem change for human well-being. It sought in particular to strengthen the link between scientific knowledge and decision-making.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/millennium-ecosystem-assessment</guid>
</item>
<item>
<title>Orangutans and the Economics of Sustainable Forest Management in Sumatra</title>
<link>http://maps.grida.no/go/collection/orangutans-and-the-economics-of-sustainable-forest-management-in-sumatra</link>
<description>Deforestation is responsible for approximately 17% of global greenhouse gas emissions, and is therefore a major contributor to climate change, but also to the loss of biodiversity and ecosystem services and a direct threat to Asia’s great ape – the orangutan. Between 2005-2010, Indonesia had accelerating forest loss compared to 2000-2005 and is within the highest five countries for percentage of primary forest loss globally. This acceleration in forest loss not only negatively impacts forests and biodiversity, but also local and global ecosystem services such as water supply, human health and food security in addition to climate change mitigation. Much of the deforestation is caused by both illegal and short-term economic gains, often ndermining long-term development goals.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/orangutans-and-the-economics-of-sustainable-forest-management-in-sumatra</guid>
</item>
<item>
<title>Planet in Peril</title>
<link>http://maps.grida.no/go/collection/planet-in-peril</link>
<description>Planet in Peril</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/planet-in-peril</guid>
</item>
<item>
<title>Political maps</title>
<link>http://maps.grida.no/go/collection/political-maps</link>
<description>Assorted political maps presenting regions covered in projects by UNEP/GRID-Arendal. The presentation of material on these maps does not imply the expression of any opinion whatsoever on the part of UNEP or the UN concerning the legal status of any country, territory, city or areas of its authorities, or concerning the delineation of its frontiers or boundaries.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/political-maps</guid>
</item>
<item>
<title>Protecting Arctic Biodiversity</title>
<link>http://maps.grida.no/go/collection/protecting-arctic-biodiversity</link>
<description>The Arctic region is characterized by some of the largest continuous intact ecosystems on the planet, but is facing increasingly larger threats. Protecting Arctic Biodiversity: Limitations and strengths of environmental agreements allows governing and scientific bodies of MEAs, as well as national decision-makers, to better direct their programmes of work and other activities to address the needs of Arctic biodiversity and the region's local and Indigenous Peoples.
</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/protecting-arctic-biodiversity</guid>
</item>
<item>
<title>Reference maps</title>
<link>http://maps.grida.no/go/collection/reference-maps</link>
<description>Locational maps, greatly simplified to just communicate the locations of points of interest, such as cities or regions.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/reference-maps</guid>
</item>
<item>
<title>Satellite and aerial image based maps and graphics</title>
<link>http://maps.grida.no/go/collection/satellite-and-aerial-image-based-maps-and-graphics</link>
<description>Graphics that are based on high and low resolution from satellite imagery, taken from aerial surveys or photography from an elevated vantage points. These set of graphics have been prepared in other collections and publications by UNEP/GRID-Arendal and partners.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/satellite-and-aerial-image-based-maps-and-graphics</guid>
</item>
<item>
<title>Species distribution maps</title>
<link>http://maps.grida.no/go/collection/species-distribution-maps</link>
<description>Assorted maps from projects, displaying the distribution of flora and fauna, both species and higher taxonomic groups.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/species-distribution-maps</guid>
</item>
<item>
<title>Topographic maps</title>
<link>http://maps.grida.no/go/collection/topographic-maps</link>
<description>A collection of topographic maps (base maps) for overview of countries and regions, with relevant infrastructure, such as major cities and roads, providing a mini-atlas. Please note that some of these maps may not be up to date.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/topographic-maps</guid>
</item>
<item>
<title>Working for the Environment, South Africa </title>
<link>http://maps.grida.no/go/collection/working-for-the-environment-south-africa</link>
<description>Working for the Environment is a publication launched by the Department of Environmental Affairs (former Department of Environmental Affairs and Tourism). It aims to inform and educate the general public in South Africa on the vital work currently being done by the government to protect the environment and alleviate poverty. This publication covers five ongoing programmes under the umbrella of the government’s Expanded Public Works Programme (EPWP): the Social Responsibility Programme and its Working for the Coast sub-programme, Working for Wetlands, Working for Water, and Working on Fire.</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/working-for-the-environment-south-africa</guid>
</item>
<item>
<title>WWF Arctic Feedbacks Report</title>
<link>http://maps.grida.no/go/collection/wwf-arctic-feedbacks-report</link>
<description>WWF Arctic Feedbacks Report</description>
<g:publication_volume></g:publication_volume>
<guid isPermaLink="true">http://maps.grida.no/go/collection/wwf-arctic-feedbacks-report</guid>
</item>
<item>
<title> The encroachment of road networks in Northern Norway, 1940-2000</title>
<link>http://maps.grida.no/go/graphic/the_encroachment_of_road_networks_in_northern_norway_1940_2000</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Julien Rouaud, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The development of human settlements and the road network linking them together are fragmenting natural habitats especially for larger mammals, such as bears, wolves or reindeer. The nature loses its status as wilderness.</description>
<pubDate>Tue, 14 Feb 2006 17:15:20 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/the_encroachment_of_road_networks_in_northern_norway_1940_2000_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>325</mapsgrida:thumbnailHeight>
<g:author>Julien Rouaud, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The development of human settlements and the road network linking them together are fragmenting natural habitats especially for larger mammals, such as bears, wolves or reindeer. The nature loses its status as wilderness.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/the_encroachment_of_road_networks_in_northern_norway_1940_2000.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5C53F086-1526-826B-B621-1325ED096118</guid>
<g:label>NO</g:label>
<g:label>wilderness</g:label>
<g:label>biodiversity</g:label>
<g:label>infrastructure</g:label>
<g:label>finnmark</g:label>
<g:label>reindeer</g:label>
<g:label>human impact</g:label>
<g:label>globio</g:label>
<dc:contributor>Julien Rouaud, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>NO</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>N250 road database, Statens Kartverk</dc:source>
<geo:lat>64</geo:lat>
<geo:long>17.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>57 4</gml:lowerCorner>
<gml:upperCorner>71 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>133 Parties to the Basel Convention (11 November 1999)</title>
<link>http://maps.grida.no/go/graphic/133_parties_to_the_basel_convention_11_november_1999</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic shows the locations of parties and signatories to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal, as of November 11, 1999. Explanatory note from the full report: 'There were 133 Parties to the Basel Convention as of 11 November 1999. Out of these there were 28 African countries, 32 countries in Asia and the Pacific, 18 countries in Central and Eastern Europe, 27 countries in Latin America and the Caribbean, 27 Western European and other countries, and the European Union. Afghanistan, Haiti and the United States were Convention signatories but had not yet ratified the treaty as of November 11, 1999.'</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_133_parties_to_the_basel_convention_11_november__000.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>142</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic shows the locations of parties and signatories to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal, as of November 11, 1999. Explanatory note from the full report: &apos;There were 133 Parties to the Basel Convention as of 11 November 1999. Out of these there were 28 African countries, 32 countries in Asia and the Pacific, 18 countries in Central and Eastern Europe, 27 countries in Latin America and the Caribbean, 27 Western European and other countries, and the European Union. Afghanistan, Haiti and the United States were Convention signatories but had not yet ratified the treaty as of November 11, 1999.&apos;</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/133_parties_to_the_basel_convention_11_november__000.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A8E1F084-D8F1-4FD6-81F6-069C81C0FF01</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>transport of hazardous waste</g:label>
<g:label>transboundary movement of hazardous waste</g:label>
<g:label>international movement of hazardous waste</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Secretariat of the Basel Convention, www.basel.int; Email: sbc@unep.ch</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>162 Parties to the Basel Convention in October 2004</title>
<link>http://maps.grida.no/go/graphic/162-parties-to-the-basel-convention-in-october-2004</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and their Disposal is the most comprehensive global environmental agreement on hazardous and other wastes. It aims to protect human health and the environmentagainst the adverse effects resulting from the generation, management, transboundary movementsand disposal of hazardous and other wastes. The Basel Convention regulates the transboundary movements of hazardous and other wastes and obliges its Parties to ensure that such wastes are managed and disposed of in an environmentally sound manner. The Convention covers toxic, poisonous, explosive, corrosive, flammable, ecotoxic and infectious wastes. Parties are also expected to minimize the quantitiesthat are transported, to treat and dispose of wastes as close as possible to their place of generation and
to prevent or minimize the generation of wastes at source.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/162_parties_to_the_basel_convention_in_october_2004_thumbnail.gif</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>143</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and their Disposal is the most comprehensive global environmental agreement on hazardous and other wastes. It aims to protect human health and the environmentagainst the adverse effects resulting from the generation, management, transboundary movementsand disposal of hazardous and other wastes. The Basel Convention regulates the transboundary movements of hazardous and other wastes and obliges its Parties to ensure that such wastes are managed and disposed of in an environmentally sound manner. The Convention covers toxic, poisonous, explosive, corrosive, flammable, ecotoxic and infectious wastes. Parties are also expected to minimize the quantitiesthat are transported, to treat and dispose of wastes as close as possible to their place of generation and
to prevent or minimize the generation of wastes at source.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/162_parties_to_the_basel_convention_in_october__005.gif</g:image_link>
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<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Basel Convention</dc:source>
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<gml:upperCorner>90 180</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>168 Parties to the Basel Convention in 2006</title>
<link>http://maps.grida.no/go/graphic/168_parties_to_the_basel_convention_in_2006</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Cécile Marin, Emmanuelle Bournay</mapsgrida:designer>
<description>By the 1980s, the international community launched treaty negotiations under the auspices of the United Nations Environment Programme. In March 1989, they adopted the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal. The treaty entered into force in 1992.</description>
<pubDate>Tue, 19 Dec 2006 14:23:23 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/168_parties_to_the_basel_convention_in_2006_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>161</mapsgrida:thumbnailHeight>
<g:author>Cécile Marin, Emmanuelle Bournay</g:author>
<mapsgrida:descriptionnonhtml>By the 1980s, the international community launched treaty negotiations under the auspices of the United Nations Environment Programme. In March 1989, they adopted the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal. The treaty entered into force in 1992.</mapsgrida:descriptionnonhtml>
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<g:label>global</g:label>
<g:label>Basel convention</g:label>
<g:label>waste</g:label>
<g:label>treaty</g:label>
<g:label>waste</g:label>
<g:label>hazardous waste</g:label>
<g:label>transportation</g:label>
<dc:contributor>Cécile Marin, Emmanuelle Bournay</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Basel Convention</dc:source>
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</item>
<item>
<title>28 октября 2004 года</title>
<link>http://maps.grida.no/go/graphic/28-2004</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>«Глобальный УФ-индекс — измерение уровня УФ-излучения на поверхности Земли. Целью разработки этого индекса стало информирование населения о возможных вредных последствиях для здоровья УФ-излучения и призыва к защите от чрезмерного воздействия солнца.. Чем выше показатель индекса, тем выше риск вреда коже и глазам, тем меньше времени нужно излучению для причинения такого вреда.</description>
<pubDate>Thu, 27 May 2010 17:45:05 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/28-2004_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>84</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>«Глобальный УФ-индекс — измерение уровня УФ-излучения на поверхности Земли. Целью разработки этого индекса стало информирование населения о возможных вредных последствиях для здоровья УФ-излучения и призыва к защите от чрезмерного воздействия солнца.. Чем выше показатель индекса, тем выше риск вреда коже и глазам, тем меньше времени нужно излучению для причинения такого вреда.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/28-_005.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>resource</g:label>
<g:label>kit</g:label>
<g:label>journalist</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>GMEX, 2006 ; INTERSUN, 2007. </dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
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<item>
<title>A history of waste management</title>
<link>http://maps.grida.no/go/graphic/a-history-of-waste-management</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Diana Rizzolio, Emmanuelle Bournay</mapsgrida:designer>
<description>A visual timeline of historical waste manaement. From the first recorded landfill created in Knossos in 3000 B.C. to the English parliament banning waste disposal in public waterways and ditches in 1388 to the establishment of The Basel Convention in 1992.</description>
<pubDate>Tue, 19 Dec 2006 14:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/a-history-of-waste-management_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>37</mapsgrida:thumbnailHeight>
<g:author>Diana Rizzolio, Emmanuelle Bournay</g:author>
<mapsgrida:descriptionnonhtml>A visual timeline of historical waste manaement. From the first recorded landfill created in Knossos in 3000 B.C. to the English parliament banning waste disposal in public waterways and ditches in 1388 to the establishment of The Basel Convention in 1992.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/a-history-of-waste-management.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Waste management</g:label>
<g:label>legislation</g:label>
<g:label>history</g:label>
<g:label>timeline</g:label>
<dc:contributor>Diana Rizzolio, Emmanuelle Bournay</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>US Environmental Protection Agency; National Energy Education Development Project, Museum of Solid Waste, 2006; Ecollect, 2006; Waste online, 2006; Environment Switzerland 2000; Stadtreiningung Hamburg.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
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<item>
<title>A look inside - Concentrations of micro-organisms excreted in one litre of wastewater</title>
<link>http://maps.grida.no/go/graphic/a-look-inside-concentrations-of-micro-organisms-excreted-in-one-litre-of-wastewater</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>What one litre of wastewater might contain in terms of pathogens.</description>
<pubDate>Mon, 22 Mar 2010 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/a-look-inside-concentrations-of-micro-organisms-excreted-in-one-litre-of-wastewater_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>178</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>What one litre of wastewater might contain in terms of pathogens.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/a-look-inside-concentrations-of-micro-organisms-excreted-in-one-litre-of-wastewater_003.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>sick</g:label>
<g:label>water</g:label>
<g:label>wastewater</g:label>
<g:label>sustainable</g:label>
<g:label>development</g:label>
<g:label>global</g:label>
<g:label>threat</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Guidelines for the Safe Use of Wastewater, Excreta and Greywater, Volume 2 Wastewater use in agriculture, 2006.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:upperCorner>90 180</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>A multifunctional perspective of agriculture</title>
<link>http://maps.grida.no/go/graphic/a-multifunctional-perspective-of-agriculture</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In IAASTD, multifunctionality is used solely to express the inescapable interconnectedness of agriculture’s different roles and functions. The concept of multifunctionality recognizes agriculture as a multi-output activity producing not only commodities (food, fodder, fibers and biofuels), but also non-commodity outputs such as ecosystem services, landscape amenities and cultural heritages.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/a-multifunctional-perspective-of-agriculture_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>292</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In IAASTD, multifunctionality is used solely to express the inescapable interconnectedness of agriculture’s different roles and functions. The concept of multifunctionality recognizes agriculture as a multi-output activity producing not only commodities (food, fodder, fibers and biofuels), but also non-commodity outputs such as ecosystem services, landscape amenities and cultural heritages.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/a-multifunctional-perspective-of-agriculture_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>economy</g:label>
<g:label>society</g:label>
<g:label>environment</g:label>
<g:label>food production</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>A photographic impression of the gradual changes in two ecosystem types</title>
<link>http://maps.grida.no/go/graphic/a-photographic-impression-of-the-gradual-changes-in-two-ecosystem-types</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Michel Jeuken, PBL and Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Globally, over 1,000 (87%) of a total of 1,226 threatened
bird species are impacted by agriculture.
More than 70 species are affected by agricultural
pollution, 27 of them seriously. Europe’s farmland
birds have declined by 48% in the past 26 years
(European Bird Census Council, 2008). Pesticides
and herbicides pose a threat to 37 threatened bird
species globally (BirdLife, 2008), in addition to
deleterious effects of agricultural chemicals on
ground water.</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/a-photographic-impression-of-the-gradual-changes-in-two-ecosystem-types_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>197</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Michel Jeuken, PBL and Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Globally, over 1,000 (87%) of a total of 1,226 threatened
bird species are impacted by agriculture.
More than 70 species are affected by agricultural
pollution, 27 of them seriously. Europe’s farmland
birds have declined by 48% in the past 26 years
(European Bird Census Council, 2008). Pesticides
and herbicides pose a threat to 37 threatened bird
species globally (BirdLife, 2008), in addition to
deleterious effects of agricultural chemicals on
ground water.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/a-photographic-impression-of-the-gradual-changes-in-two-ecosystem-types_007.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Michel Jeuken, PBL and Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Bexfield, 2008.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:upperCorner>90 180</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>A Planet in Ecological Debt </title>
<link>http://maps.grida.no/go/graphic/a-planet-in-ecological-debt</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Tue, 06 Oct 2009 09:38:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/a-planet-in-ecological-debt_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>147</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/a-planet-in-ecological-debt_003.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>Poverty</g:label>
<g:label>Times</g:label>
<g:label>Green</g:label>
<g:label>Economy</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Global Footprint Network</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>A World of Salt</title>
<link>http://maps.grida.no/go/graphic/a-world-of-salt</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Phillippe Rekacewicz, February 2006</mapsgrida:designer>
<description>Global water type by percentage.
Estimates of global water resources based on several different calculation methods have produced varied estimates. Shiklomanov in Gleick (1993) estimated that:
- The total volume of water on earth is 1.4 billion km3.
- The volume of freshwater resources is 35 million km3, or about 2.5% of the total volume. Of these, 24 million km3 or 68.9% is in the form of ice and permanent snow cover in mountainous regions, and in the Antarctic and Arctic regions.
- Some 8 million km3 or 30.8% is stored underground in the form of groundwater (shallow and deep groundwater basins up to 2,000 metres, soil moisture, swamp water and permafrost). This constitutes about 97% of all the freshwater potentially available for human use.
- Freshwater lakes and rivers contain an estimated 105,000 km3 or 0.3% of the world’s freshwater.
- The total usable freshwater supply for ecosystems and humans is 200,000 km3 of water, which is less than 1% of all freshwater resources, and only 0.01% of all the water on earth (Gleick, 1993; Shiklomanov, 1999).</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/a-world-of-salt_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>140</mapsgrida:thumbnailHeight>
<g:author>Phillippe Rekacewicz, February 2006</g:author>
<mapsgrida:descriptionnonhtml>Global water type by percentage.
Estimates of global water resources based on several different calculation methods have produced varied estimates. Shiklomanov in Gleick (1993) estimated that:
- The total volume of water on earth is 1.4 billion km3.
- The volume of freshwater resources is 35 million km3, or about 2.5% of the total volume. Of these, 24 million km3 or 68.9% is in the form of ice and permanent snow cover in mountainous regions, and in the Antarctic and Arctic regions.
- Some 8 million km3 or 30.8% is stored underground in the form of groundwater (shallow and deep groundwater basins up to 2,000 metres, soil moisture, swamp water and permafrost). This constitutes about 97% of all the freshwater potentially available for human use.
- Freshwater lakes and rivers contain an estimated 105,000 km3 or 0.3% of the world’s freshwater.
- The total usable freshwater supply for ecosystems and humans is 200,000 km3 of water, which is less than 1% of all freshwater resources, and only 0.01% of all the water on earth (Gleick, 1993; Shiklomanov, 1999).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/a-world-of-salt_007.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>global</g:label>
<g:label>water</g:label>
<g:label>global</g:label>
<g:label>resources</g:label>
<g:label>calculation</g:label>
<g:label>freshwater</g:label>
<g:label>world</g:label>
<g:label>salt</g:label>
<dc:contributor>Phillippe Rekacewicz, February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>source: Igor A. Shiklomanov, State Hydrological Institute (SHL. St. Petersburg) and United Nations Educational, Scientific and Cultural Organisation (UNESCO, Paris), 1999.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
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</item>
<item>
<title>Abatement costs for transition from undisturbed forest to other land uses</title>
<link>http://maps.grida.no/go/graphic/abatement-costs-for-transition-from-undisturbed-forest-to-other-land-uses</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Opportunity costs for the transition from forest to other land uses between 1994-2009 in Tripa and 1990-2009 in Batang Toru are shown. For the transition to the most profitable land-use a price of slightly more than USD 10 per tCO2 would have been sufficient to offset opportunity costs in Batang Toru. For Tripa this value is lower because of the below ground carbon stocks in the peatlands.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/abatement-costs-for-transition-from-undisturbed-forest-to-other-land-uses_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>106</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Opportunity costs for the transition from forest to other land uses between 1994-2009 in Tripa and 1990-2009 in Batang Toru are shown. For the transition to the most profitable land-use a price of slightly more than USD 10 per tCO2 would have been sufficient to offset opportunity costs in Batang Toru. For Tripa this value is lower because of the below ground carbon stocks in the peatlands.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/abatement-costs-for-transition-from-undisturbed-forest-to-other-land-uses_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8E1A27B8-1471-1036-7824-10000D0F7DB9</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Hamilton, K., Chokkalingam, U. and Bendana, M. 2009. State of the for-est carbon markets 2009. Ecosystem Marketplace Report.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ability of countries to support their citizens from their own environment</title>
<link>http://maps.grida.no/go/graphic/ability_of_countries_to_support_their_citizens_from_their_own_environment</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Ecological Footprint measures the amount of productive land area needed to support a nation’s consumption and waste. This indicator shows that in many countries, as well as for the planet as a whole, the demand for natural resources, or the 'ecological capacity', exceeds the amount available. Countries that are not able to support their national consumption with their own natural resources are running at an 'ecological deficit'. Therefore these countries have to either import ecological capacity from
other places, or take it from future generations.</description>
<pubDate>Tue, 07 Feb 2006 18:21:34 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ability_of_countries_to_support_their_citizens_from_their_own_environment_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>202</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Ecological Footprint measures the amount of productive land area needed to support a nation’s consumption and waste. This indicator shows that in many countries, as well as for the planet as a whole, the demand for natural resources, or the &apos;ecological capacity&apos;, exceeds the amount available. Countries that are not able to support their national consumption with their own natural resources are running at an &apos;ecological deficit&apos;. Therefore these countries have to either import ecological capacity from
other places, or take it from future generations.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ability_of_countries_to_support_their_citizens_from_their_own_environment_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C29698C8-1140-8A53-FE34-F5057E85379D</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>economy</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Earthday Network</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Abkhazia - environmental headlines (topographic and political map)</title>
<link>http://maps.grida.no/go/graphic/abkhazia-environmental-headlines-topographic-and-political-map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Matthias Beilstein and Otto Simonett</mapsgrida:designer>
<description>Abkhazia - environmental headlines (topographic and political map). The basemap is complemented with textual information on 'environmental headlines' which are the preliminary results of a desk assessment conducted by GRID-Arendal under the ENVSEC initiative (UNEP; OSCE; NATO; UNDP; UNECE; REC)</description>
<pubDate>Thu, 14 Aug 2008 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/abkhazia-environmental-headlines-topographic-and-political-map_thumbnail_006.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>170</mapsgrida:thumbnailHeight>
<g:author>Matthias Beilstein and Otto Simonett</g:author>
<mapsgrida:descriptionnonhtml>Abkhazia - environmental headlines (topographic and political map). The basemap is complemented with textual information on &apos;environmental headlines&apos; which are the preliminary results of a desk assessment conducted by GRID-Arendal under the ENVSEC initiative (UNEP; OSCE; NATO; UNDP; UNECE; REC)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/abkhazia-environmental-headlines-topographic-and-political-map_006.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EF1A3417-16BC-D0E1-E2F6-DABD94DDC136</guid>
<g:label>GE</g:label>
<g:label>envsec</g:label>
<g:label>security</g:label>
<g:label>conflict</g:label>
<g:label>georgia</g:label>
<g:label>russia</g:label>
<g:label>cis</g:label>
<g:label>soviet union</g:label>
<g:label>ethnic issues</g:label>
<dc:contributor>Matthias Beilstein and Otto Simonett</dc:contributor>
<dc:coverage>GE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Base map Matthias Beilstein based on various international data sources. Information on environmental issues are based on a dialogue with the environmental authorities of the region, field visits conducted in 2006 and 2007, and publicly available scientific data and information.</dc:source>
<geo:lat>42</geo:lat>
<geo:long>43</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>41 40</gml:lowerCorner>
<gml:upperCorner>43 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>About the difficulties of classifying waste (and counting it)</title>
<link>http://maps.grida.no/go/graphic/about_the_difficulties_of_classifying_waste_and_counting_it</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay</mapsgrida:designer>
<description>A multitude of approaches exists to classify the various categories of waste. Waste can be sorted either by its origin (what activity has created it?), by its composition
(what is it made of?), by the level of danger it poses to humans and the environment, or by the way it is managed and treated. Each of these approaches will lead to a list of wastes, and often those definitions are overlapping – yet another fact that complicates the collection and interpretation of data about waste.</description>
<pubDate>Tue, 19 Dec 2006 14:23:23 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/about_the_difficulties_of_classifying_waste_and_counting_it_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>124</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay</g:author>
<mapsgrida:descriptionnonhtml>A multitude of approaches exists to classify the various categories of waste. Waste can be sorted either by its origin (what activity has created it?), by its composition
(what is it made of?), by the level of danger it poses to humans and the environment, or by the way it is managed and treated. Each of these approaches will lead to a list of wastes, and often those definitions are overlapping – yet another fact that complicates the collection and interpretation of data about waste.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/about_the_difficulties_of_classifying_waste_and_counting_it.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/157D1CD9-8B61-B95F-7975-BEEB971C2F4C</guid>
<g:label>global</g:label>
<g:label>waste</g:label>
<g:label>classification</g:label>
<g:label>problems</g:label>
<g:label>hazardous</g:label>
<g:label>environment</g:label>
<dc:contributor>Emmanuelle Bournay</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Offi cial Journal of the European Communities. List of Wastes established by the Commission Decision 2000/532/EC of 3 May 2000, amended in January 2001</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Above-ground carbon stocks</title>
<link>http://maps.grida.no/go/graphic/above-ground-carbon-stocks</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Some of the richest above-ground carbon stocks are found in forests occupied by Sumatran orangutans. The total carbon stored in the above-ground woody biomass of a tropical forest varies between 170 and 250 tonnes of carbon per hectare.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/above-ground-carbon-stocks_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>251</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Some of the richest above-ground carbon stocks are found in forests occupied by Sumatran orangutans. The total carbon stored in the above-ground woody biomass of a tropical forest varies between 170 and 250 tonnes of carbon per hectare.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/above-ground-carbon-stocks_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8B86CF90-6589-14F1-97B0-673658BB47CD</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Bathymetry from the ETOPO1 Global Relief Model downloaded from: http://www.ngdc.noaa.gov/mgg/global/global.html
Sumatran orangutan distribution shapefile prepared by Singleton and Wich and based on Wich et al. 2008 with unpublished data added.
Data provided by the World Agroforestry Centre
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Above-ground carbon-stock density changes</title>
<link>http://maps.grida.no/go/graphic/above-ground-carbon-stock-density-changes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In Batang Toru, land use changes and deforestation led to an overall loss of around 10 tonnes of carbon per hectare between 1994 and 2009. Due to its exploitation for the cultivation of oil palm, the peat area of Tripa had to face a much more important decrease of 66 tonnes of carbon per hectare in the time period 1990-2009. In terms of CO2 emissions, it corresponds to an overall emission per year of 634,903 tCO2.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/above-ground-carbon-stock-density-changes_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>237</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In Batang Toru, land use changes and deforestation led to an overall loss of around 10 tonnes of carbon per hectare between 1994 and 2009. Due to its exploitation for the cultivation of oil palm, the peat area of Tripa had to face a much more important decrease of 66 tonnes of carbon per hectare in the time period 1990-2009. In terms of CO2 emissions, it corresponds to an overall emission per year of 634,903 tCO2.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/above-ground-carbon-stock-density-changes_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10A98BB4-188D-B714-237A-1864730B7E04</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Tata, H.L. and van Noordwijk, M. 2010. Human livelihoods, ecosystem services and the habitat of the Sumatran orangutan: Rapid assessment in Batang Toru and Tripa. World Agroforestry Centre (ICRAF) Southeast Asia Regional Office, Bogor, Indonesia.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Access to safe drinking water</title>
<link>http://maps.grida.no/go/graphic/access-to-safe-drinking-water</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>There are currently more than 1000 million people in the world that lacks access to an easily accessible and safe water source, such as a connection to water mains or a protected well. Instead, water access is limited or available through unprotected sources. The target, under the Millennium Development Goals, is to halve, by 2015, the proportion of people without sustainable access to safe drinking water and sanitation.</description>
<pubDate>Tue, 05 Aug 2008 21:42:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/access-to-safe-drinking-water_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>115</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>There are currently more than 1000 million people in the world that lacks access to an easily accessible and safe water source, such as a connection to water mains or a protected well. Instead, water access is limited or available through unprotected sources. The target, under the Millennium Development Goals, is to halve, by 2015, the proportion of people without sustainable access to safe drinking water and sanitation.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/access-to-safe-drinking-water_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/DE6462B1-8F9D-D7A6-BBD8-806B1655BDFA</guid>
<g:label>global</g:label>
<g:label>water</g:label>
<g:label>freshwater</g:label>
<g:label>poverty</g:label>
<g:label>sanitation</g:label>
<g:label>human development</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Health Organization and United Nations Children's Fund. 2000. Accessed through the United Nations Common Database in 2006. Online at: http://unstats.un.org/unsd/cdb/</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Access to sanitation facilities</title>
<link>http://maps.grida.no/go/graphic/access-to-sanitation-facilities</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Access to improved sanitation remains a pressing issue in many regions.</description>
<pubDate>Mon, 22 Mar 2010 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/access-to-sanitation-facilities_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>102</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Access to improved sanitation remains a pressing issue in many regions.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/access-to-sanitation-facilities_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11B2DDE2-CBB5-6E20-7413-17E25F22AA38</guid>
<g:label>global</g:label>
<g:label>sick</g:label>
<g:label>water</g:label>
<g:label>wastewater</g:label>
<g:label>sustainable</g:label>
<g:label>development</g:label>
<g:label>global</g:label>
<g:label>threat</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>JMP, Progress in drinking water and sanitation, 2008.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Access to sanitation in urban Africa</title>
<link>http://maps.grida.no/go/graphic/access-to-sanitation-in-urban-africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The number of people in Africa with access to improved sanitation, defined as “one that hygienically separates human excreta from human contact” (WHO/UNICEF 2010), has increased over the last two decades. Still, because of the rapid urbanisation, the proportion of the urban population with access to improved sanitation is on the decrease.</description>
<pubDate>Mon, 21 Mar 2011 12:30:51 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/access-to-sanitation-in-urban-africa_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>269</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The number of people in Africa with access to improved sanitation, defined as “one that hygienically separates human excreta from human contact” (WHO/UNICEF 2010), has increased over the last two decades. Still, because of the rapid urbanisation, the proportion of the urban population with access to improved sanitation is on the decrease.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/access-to-sanitation-in-urban-africa_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/16B8901D-D1F9-1763-6726-61AA593A1AD4</guid>
<g:label>geoafrica</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WHO/UNICEF. (2010). A Snapshot of Drinking Water and Sanitation in Africa. WHO/UNICEF Joint Monitoring Programme, Addis Ababa.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Access to sanitation in Yaoundè</title>
<link>http://maps.grida.no/go/graphic/access-to-sanitation-in-yaound</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Proper disposal of sewage is essential for urban water quality, and in Yaoundè the treatment of wastewater, excreta, and sewage can be classified into two categories – individual wastewater systems (septic tanks and latrines) and collective wastewater systems (sewer and treatment plants). About half of the residents of Yaoundè are connected to the sewer system, while the rest depend on either septic tanks, latrines, or a combination of the two.</description>
<pubDate>Mon, 21 Mar 2011 12:30:51 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/access-to-sanitation-in-yaound_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>214</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Proper disposal of sewage is essential for urban water quality, and in Yaoundè the treatment of wastewater, excreta, and sewage can be classified into two categories – individual wastewater systems (septic tanks and latrines) and collective wastewater systems (sewer and treatment plants). About half of the residents of Yaoundè are connected to the sewer system, while the rest depend on either septic tanks, latrines, or a combination of the two.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/access-to-sanitation-in-yaound_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/127BCB44-BA50-1618-1CB9-11301CC0CD1A</guid>
<g:label>geoafrica</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Wéthé J., Radoux M., and Tanawa E. (2003). ‘Assainissement des eaux usées et risques socio-sanitaires et environnementaux en zones d’habitat planifié de Yaoundé-Cameroun’. Vertigo 4(1):1-12.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
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<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Access to water in urban Africa</title>
<link>http://maps.grida.no/go/graphic/access-to-water-in-urban-africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Improved water sources, defined as “one that is protected from outside contamination” (WHO/UNICEF 2010), is essential for ensuring the health of Africa’s urban dwellers. Although an increasing number of people have access to improved water, rapid urban population growth in the African region has equally increased the number of people without proper access.</description>
<pubDate>Mon, 21 Mar 2011 12:30:51 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/access-to-water-in-urban-africa_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>272</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Improved water sources, defined as “one that is protected from outside contamination” (WHO/UNICEF 2010), is essential for ensuring the health of Africa’s urban dwellers. Although an increasing number of people have access to improved water, rapid urban population growth in the African region has equally increased the number of people without proper access.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/access-to-water-in-urban-africa_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12A6CF4A-7539-60E7-1141-EEDA2F779542</guid>
<g:label>geoafrica</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WHO/UNICEF. (2010). A Snapshot of Drinking Water and Sanitation in Africa. WHO/UNICEF Joint Monitoring Programme, Addis Ababa.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
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<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Accounting units</title>
<link>http://maps.grida.no/go/graphic/accounting-units1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>A table about Accounting units</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/accounting-units_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>206</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>A table about Accounting units</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/accounting-units_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B44B2ADA-6AA7-14C5-D747-9DFE1D718564</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Accounting units</title>
<link>http://maps.grida.no/go/graphic/accounting-units</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Countries that are signatories to the Kyoto Protocol have a tool for helping them in the Emissions Trading Scheme. In the Kyoto scheme each allowance is called an Assigned Amount Unit (AAU). Each entity equals one tonne of CO2 equivalent.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/accounting-units_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>210</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Countries that are signatories to the Kyoto Protocol have a tool for helping them in the Emissions Trading Scheme. In the Kyoto scheme each allowance is called an Assigned Amount Unit (AAU). Each entity equals one tonne of CO2 equivalent.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/accounting-units_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5CC238FB-10A6-B36D-FE86-B5909F4CB997</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Accroissement de la population humaine dans les pays développés et les pays en développement </title>
<link>http://maps.grida.no/go/graphic/accroissement-de-la-population-humaine-dans-les-pays-d-velopp-s-et-les-pays-en-d-veloppement</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Population mondiale : estimations et projections (en milliards d’habitants)
</description>
<pubDate>Mon, 08 Jun 2009 15:05:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/accroissement-de-la-population-humaine-dans-les-pays-d-velopp-s-et-les-pays-en-d-veloppement_thumbnail_005.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>234</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Population mondiale : estimations et projections (en milliards d’habitants)
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/accroissement-de-la-population-humaine-dans-les-pays-d-velopp-s-et-les-pays-en-d-veloppement_006.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/79A6F64C-16DB-1230-7DAE-113918755ED2</guid>
<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Goldewijk, Kees Klein. 2008. HYDE 3.0 population estimates “RE: Population data”. November 17, 2008 personal email (November 17 2008)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Acid rain in Europe</title>
<link>http://maps.grida.no/go/graphic/acid_rain_in_europe</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Acid rain become a major transboundary enviromental issue in the late twentieth century. In Europe there were varying levels of the threat from acid rain. Poland were almost entire covered by medium to high risk of acid rain.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/acid_rain_in_europe.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>194</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Acid rain become a major transboundary enviromental issue in the late twentieth century. In Europe there were varying levels of the threat from acid rain. Poland were almost entire covered by medium to high risk of acid rain.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/acid_rain_in_europe.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/28536B4F-F03D-4D72-AF56-B6EF7211EB72</guid>
<g:label>geoeurope</g:label>
<g:label>acid rain</g:label>
<g:label>pollution</g:label>
<g:label>climate change</g:label>
<g:label>europe</g:label>
<g:label>industry</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Ed. Hatier, Paris, 1993</dc:source>
<geo:lat>59</geo:lat>
<geo:long>8.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>33 -27</gml:lowerCorner>
<gml:upperCorner>85 44</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Acidification due to climate change - impacts for oceans and coral reefs</title>
<link>http://maps.grida.no/go/graphic/acidification-due-to-climate-change-impacts-for-oceans-and-coral-reefs</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>As carbon concentrations in the atmosphere increase from land use changes and emissions from fossil fuels - so do concentrations in the ocean, with resultant acidification as a natural chemical process. The skeletons of coldwater coral reefs may dissolve, perhaps already within a few decades. The impacts will be greatest at high latitudes. This will have an impact on all marine organisms with calcerous shells and body parts, in addition to coral reefs this includes shellfish and plankton.</description>
<pubDate>Fri, 22 Feb 2008 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/acidification-due-to-climate-change-impacts-for-oceans-and-coral-reefs_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>199</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>As carbon concentrations in the atmosphere increase from land use changes and emissions from fossil fuels - so do concentrations in the ocean, with resultant acidification as a natural chemical process. The skeletons of coldwater coral reefs may dissolve, perhaps already within a few decades. The impacts will be greatest at high latitudes. This will have an impact on all marine organisms with calcerous shells and body parts, in addition to coral reefs this includes shellfish and plankton.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/acidification-due-to-climate-change-impacts-for-oceans-and-coral-reefs_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/145A9D69-1111-106E-53AD-56544766CE40</guid>
<g:label>global</g:label>
<g:label>marine issues</g:label>
<g:label>oceans</g:label>
<g:label>sea</g:label>
<g:label>seas</g:label>
<g:label>ocean</g:label>
<g:label>world ocean</g:label>
<g:label>acidification</g:label>
<g:label>climate change</g:label>
<g:label>plankton</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Orr, James C. 2005. Anthropogenic ocean acidification over the twenty-first century and its impact on calcifying organisms. Nature, vol 437, 681-686.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Actual and Projected Energy Demand</title>
<link>http://maps.grida.no/go/graphic/actual-and-projected-energy-demand</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Projected growth in energy demand in coming decades. </description>
<pubDate>Wed, 14 Oct 2009 12:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/actual-and-projected-energy-demand_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>235</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Projected growth in energy demand in coming decades. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/actual-and-projected-energy-demand_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12BD5EBB-6887-D4E6-2543-E3329CEE42F9</guid>
<g:label>global</g:label>
<g:label>Blue</g:label>
<g:label>Carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>International Energy Agency (IEA), World Energy Outlook 2008.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Administration </title>
<link>http://maps.grida.no/go/graphic/administration</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Sumatran orangutan habitat overlaps 2 Provinces and 21 Districts, presenting many challenges for integrated development policies. 78% of the species’ present range lies within Aceh, and the remaining 22% in North Sumatra. A total of 13 districts in Aceh, and eight in North Sumatra, contain forests where wild Sumatran orangutans still occur.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/administration_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>253</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Sumatran orangutan habitat overlaps 2 Provinces and 21 Districts, presenting many challenges for integrated development policies. 78% of the species’ present range lies within Aceh, and the remaining 22% in North Sumatra. A total of 13 districts in Aceh, and eight in North Sumatra, contain forests where wild Sumatran orangutans still occur.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/administration_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12360EB9-B128-E154-9581-1260EEA1C058</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Bathymetry from the ETOPO1 Global Relief Model downloaded from: http://www.ngdc.noaa.gov/mgg/global/global.html
Sumatran orangutan distribution shapefile prepared by Singleton and Wich and based on Wich et al. 2008 with unpublished data added.
Provincial, District and Municipal boundaries from Provincial Development Agencies (Bappeda) of Aceh and N.Sumatra Provinces, and the 1:50,000 Bakosurtanal Topographic maps for Indonesia.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Adult female literacy and agroclimatic zones</title>
<link>http://maps.grida.no/go/graphic/adult_female_literacy_and_agroclimatic_zones</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This map shows the possible relation between the agricultural zones and levels of adult female literacy. In West Africa there seems to be a higher percentage of adult female literacy in the humid zones along coastal areas than the arid zones of the interior.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/adult_female_literacy_and_agroclimatic_zones_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>132</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This map shows the possible relation between the agricultural zones and levels of adult female literacy. In West Africa there seems to be a higher percentage of adult female literacy in the humid zones along coastal areas than the arid zones of the interior.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/adult_female_literacy_and_agroclimatic_zones.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B7EB9EF5-FCE2-46E6-A89B-6F5D9E5478CA</guid>
<g:label>westafrica</g:label>
<g:label>agroclimate</g:label>
<g:label>literacy</g:label>
<g:label>gender</g:label>
<g:label>poverty</g:label>
<g:label>climate</g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>westafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway / SSB, 1997</dc:source>
<geo:lat>10.5</geo:lat>
<geo:long>-2</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>0 -19</gml:lowerCorner>
<gml:upperCorner>21 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Adult female literacy and land degradation in West Africa</title>
<link>http://maps.grida.no/go/graphic/adult_female_literacy_and_land_degradation_in_west_africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This map shows the possible spatial relation between the types of level of land degradation and adult female literacy. In West Africa there are a higher percentage of adult female illiteracy around areas that have higher levels of land degradation. Though in some areas this is not the case.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/adult_female_literacy_and_land_degradation_in_west_africa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>136</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This map shows the possible spatial relation between the types of level of land degradation and adult female literacy. In West Africa there are a higher percentage of adult female illiteracy around areas that have higher levels of land degradation. Though in some areas this is not the case.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/adult_female_literacy_and_land_degradation_in_west_africa.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D8C5B09D-7B08-4D40-A26C-B86D261F0799</guid>
<g:label>westafrica</g:label>
<g:label>poverty</g:label>
<g:label>land degradation</g:label>
<g:label>soil erosion</g:label>
<g:label>literacy</g:label>
<g:label>gender</g:label>
<g:label>development</g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>westafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway / SSB, 1997</dc:source>
<geo:lat>10.5</geo:lat>
<geo:long>-2</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>0 -19</gml:lowerCorner>
<gml:upperCorner>21 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Advancement of phenological events in high-arctic Greenland</title>
<link>http://maps.grida.no/go/graphic/advancement-of-phenological-events-in-high-arctic-greenland</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>It is clear from lower latitudes that phenological trends are linked to temperature changes and experimental warming also results in earlier plant phenology. Yet, in Arctic and alpine ecosystems, the melting of the winter snow pack rather than temperature per se determines the onset of biological activity like the timing of flowering in plants and emergence in invertebrates. As such, the phenology of these groups of organisms, or taxa, could be advancing considerably in response to earlier snowmelt. In fact, in a study covering a range of taxa carried out at Zackenberg Research Station in Northeast Greenland, it was found that not only is reproductive phenology showing stronger trends in the Arctic than elsewhere, trends were also stronger the later, on average, that an event (e.g., flowering in plants, emergence in arthropods, and egg-laying in birds) took place during the season. There are clearly limits to such phenological flexibility. In a situation with extreme changes to the physical environment, the timing of reproductive phenology may be more influenced by other cues like day length.
</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/advancement-of-phenological-events-in-high-arctic-greenland_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>161</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>It is clear from lower latitudes that phenological trends are linked to temperature changes and experimental warming also results in earlier plant phenology. Yet, in Arctic and alpine ecosystems, the melting of the winter snow pack rather than temperature per se determines the onset of biological activity like the timing of flowering in plants and emergence in invertebrates. As such, the phenology of these groups of organisms, or taxa, could be advancing considerably in response to earlier snowmelt. In fact, in a study covering a range of taxa carried out at Zackenberg Research Station in Northeast Greenland, it was found that not only is reproductive phenology showing stronger trends in the Arctic than elsewhere, trends were also stronger the later, on average, that an event (e.g., flowering in plants, emergence in arthropods, and egg-laying in birds) took place during the season. There are clearly limits to such phenological flexibility. In a situation with extreme changes to the physical environment, the timing of reproductive phenology may be more influenced by other cues like day length.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/advancement-of-phenological-events-in-high-arctic-greenland.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/670A3E5A-985B-171B-A3F4-FA7AB40D9CD7</guid>
<g:label>GL</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>vegetation</g:label>
<g:label>climate change</g:label>
<g:label>phenology</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>GL</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Høye, T.T., Post, E., Meltofte, H., Schmidt, N.M. &amp; Forchhammer, M.C. 2007. Rapid advancement of spring in the High Arctic. Curr. Biol. 17:R449–R451.
</dc:source>
<geo:lat>71</geo:lat>
<geo:long>-42.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>59 -73</gml:lowerCorner>
<gml:upperCorner>83 -12</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Africa: policy on genetically modified organisms (GMO) and genetically engineered (GE) foods</title>
<link>http://maps.grida.no/go/graphic/africa_policy_on_genetically_modified_organisms_gmo_and_genetically_engineered_ge_foods</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Cartagena protocol on biosafety, a supplement to the convention on biological diversity, has strong support in Africa, with a majority of the countries as signatories. In addition, several countries have, in the past, rejected aid (especially unmilled grains) in food imports with concerns for national biosafety. South Africa is so far the only country that is seeing wide-spread use of genetically modified crops.</description>
<pubDate>Thu, 02 Nov 2006 16:51:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/africa_policy_on_genetically_modified_organisms_gmo_and_genetically_engineered_ge_foods_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>229</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Cartagena protocol on biosafety, a supplement to the convention on biological diversity, has strong support in Africa, with a majority of the countries as signatories. In addition, several countries have, in the past, rejected aid (especially unmilled grains) in food imports with concerns for national biosafety. South Africa is so far the only country that is seeing wide-spread use of genetically modified crops.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/africa_policy_on_genetically_modified_organisms_gmo_and_genetically_engineered_ge_foods_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EB6B5FA5-110B-EFBD-803F-BF5A35A4A5ED</guid>
<g:label>geoafrica</g:label>
<g:label>gmo</g:label>
<g:label>ge</g:label>
<g:label>genetically modified organisms</g:label>
<g:label>biosafety</g:label>
<g:label>biodversity</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Center for Food Safety</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Africa: Stockholm convention on persistent organic pollutants (POPs)</title>
<link>http://maps.grida.no/go/graphic/africa_stockholm_convention_on_persistent_organic_pollutants_pops</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The process initiated by UNEP in 1995, materialised as the Stockholm convention in May 2001. The convention bans chemicals such as chlordane, DDT and PCB and other organic pesticides and industrial chemicals, as well as establishing precautionary approaches for the future. Most African countries are using agents, such as DDT, for control of disease vectors and pests under exemptions.</description>
<pubDate>Thu, 02 Nov 2006 16:51:57 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/africa_stockholm_convention_on_persistent_organic_pollutants_pops_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>147</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The process initiated by UNEP in 1995, materialised as the Stockholm convention in May 2001. The convention bans chemicals such as chlordane, DDT and PCB and other organic pesticides and industrial chemicals, as well as establishing precautionary approaches for the future. Most African countries are using agents, such as DDT, for control of disease vectors and pests under exemptions.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/africa_stockholm_convention_on_persistent_organic_pollutants_pops_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11DACF68-1427-CD89-A999-D9EB5DD267B1</guid>
<g:label>geoafrica</g:label>
<g:label>pops</g:label>
<g:label>pollution</g:label>
<g:label>ddt</g:label>
<g:label>pcb</g:label>
<g:label>stockholm convention</g:label>
<g:label>persistant organic pollutants</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Stockholm convention secretariat</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Africa’s rivers and lake basins cross many borders</title>
<link>http://maps.grida.no/go/graphic/africa-s-rivers-and-lake-basins-cross-many-borders</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz (Le Monde diplomatique), 2007</mapsgrida:designer>
<description>The below shows the locations of 13 major river basins in Africa.</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/africa-s-rivers-and-lake-basins-cross-many-borders_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>273</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz (Le Monde diplomatique), 2007</g:author>
<mapsgrida:descriptionnonhtml>The below shows the locations of 13 major river basins in Africa.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/africa-s-rivers-and-lake-basins-cross-many-borders_007.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/173F71EE-1160-9CC7-CDFE-B577940093AF</guid>
<g:label>global</g:label>
<dc:contributor>Philippe Rekacewicz (Le Monde diplomatique), 2007</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Wolf and others 1999; Revenga and others 1998; Rekacewicz 2006' Jågerskog and Phillips 2006.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>African wildlife under threat from climate change</title>
<link>http://maps.grida.no/go/graphic/african-wildlife-under-threat-from-climate-change</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Climate change poses a threat to wildlife because as climatic conditions change, many species may be unable to tolerate the changes. This graphic shows the numbers of mammals, birds, reptiles, amphibians and fish species that are critically endangered, endangered and vulnerable in various regions of Africa and in Africa as a whole, as of 1998.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/african_wildlife_under_threat_from_climate_change_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>129</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Climate change poses a threat to wildlife because as climatic conditions change, many species may be unable to tolerate the changes. This graphic shows the numbers of mammals, birds, reptiles, amphibians and fish species that are critically endangered, endangered and vulnerable in various regions of Africa and in Africa as a whole, as of 1998.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/african_wildlife_under_threat_from_climate_change.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/71033976-8225-41F0-9F84-BF4181AECD52</guid>
<g:label>geoafrica</g:label>
<g:label>threatened species</g:label>
<g:label>biodiversity loss</g:label>
<g:label>climate change</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WCMC/IUCN</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Agricultural labor as share of total labor</title>
<link>http://maps.grida.no/go/graphic/agricultural-labor-as-share-of-total-labor</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>As the Gross Domestic Product (GDP) increases the percentage of agricultural labour as the entire labour of a country. East Africa has the highest levels of agricultural labour as Japan and the U.S.A. have the lowest levels of agricultural labour.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/agricultural-labor-as-share-of-total-labor_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>138</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>As the Gross Domestic Product (GDP) increases the percentage of agricultural labour as the entire labour of a country. East Africa has the highest levels of agricultural labour as Japan and the U.S.A. have the lowest levels of agricultural labour.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/agricultural-labor-as-share-of-total-labor_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8192A67E-BF8E-B37D-93F2-B038C7825C37</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>labour</g:label>
<g:label>Gross Domestic Product</g:label>
<g:label>GDP</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Polaski, 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Agricultural land in the Caucasus ecoregion</title>
<link>http://maps.grida.no/go/graphic/agricultural-land-in-the-caucasus-ecoregion</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Manana Kurtubadze</mapsgrida:designer>
<description>About 54% of a total of 44,019,400 ha of land is used for agriculture in the Caucasus. Most agricultural land is located in the plains, the Kuban-Azov plain, the Stavropol plateau, the Kura-Araks lowland and the Ararat valley while there is a shortage of farm land in mountain regions. The main crops of the Caucasus area are cereals, fodder, fruit, tea and tobacco.</description>
<pubDate>Mon, 04 Feb 2008 13:15:15 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/agricultural-land-in-the-caucasus-ecoregion_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>188</mapsgrida:thumbnailHeight>
<g:author>Manana Kurtubadze</g:author>
<mapsgrida:descriptionnonhtml>About 54% of a total of 44,019,400 ha of land is used for agriculture in the Caucasus. Most agricultural land is located in the plains, the Kuban-Azov plain, the Stavropol plateau, the Kura-Araks lowland and the Ararat valley while there is a shortage of farm land in mountain regions. The main crops of the Caucasus area are cereals, fodder, fruit, tea and tobacco.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/agricultural-land-in-the-caucasus-ecoregion.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1231716F-BAA2-A114-67CE-5C917D612F4B</guid>
<g:label>caucaususecoregion</g:label>
<g:label>agriculture</g:label>
<g:label>rural development</g:label>
<dc:contributor>Manana Kurtubadze</dc:contributor>
<dc:coverage>caucaususecoregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Caucasus Atlas project, 2007 </dc:source>
<geo:lat>36.5</geo:lat>
<geo:long>44.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 38</gml:lowerCorner>
<gml:upperCorner>45 51</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Agricultural liberalization: Developing country winners and losers under Doha Scenario for agriculture (scenario 1)</title>
<link>http://maps.grida.no/go/graphic/agricultural-liberalization-developing-country-winners-and-losers-under-doha-scenario-for-agricultur</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Under various new scenarios for world agricultural trade and development many of the world's regions will be negatively affected. Under the Doha Scenario China would fair the worst with many developing nations running into a negative scenario.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/agricultural-liberalization-developing-country-winners-and-losers-under-doha-scenario-for-agricultur_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>118</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Under various new scenarios for world agricultural trade and development many of the world&apos;s regions will be negatively affected. Under the Doha Scenario China would fair the worst with many developing nations running into a negative scenario.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/agricultural-liberalization-developing-country-winners-and-losers-under-doha-scenario-for-agricultur_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B273DCF4-C2DB-1486-D78A-F970757C70D6</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>doha scenario</g:label>
<g:label>trade</g:label>
<g:label>economy</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Polaski, 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Agricultural production increases, per commodity 1965-2008</title>
<link>http://maps.grida.no/go/graphic/agricultural-production-increases-per-commodity-1965-2008</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>The use of fertilizers accounts for approximately 50% of
the yield increase, and greater irrigation for another substantial
part (FAO, 2003). Current FAO projections in
food demand suggest that cereal demand will increase by
almost 50% towards 2050 (FAO, 2003; 2006). This can
either be obtained by increasing yields, continued expansion
of cropland by conversion of natural habitats, or by
optimizing food or feed energy efficiency from production
to consumption.</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/agricultural-production-increases-per-commodity-1965-2008_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>249</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>The use of fertilizers accounts for approximately 50% of
the yield increase, and greater irrigation for another substantial
part (FAO, 2003). Current FAO projections in
food demand suggest that cereal demand will increase by
almost 50% towards 2050 (FAO, 2003; 2006). This can
either be obtained by increasing yields, continued expansion
of cropland by conversion of natural habitats, or by
optimizing food or feed energy efficiency from production
to consumption.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/agricultural-production-increases-per-commodity-1965-2008.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11FEE23C-14CE-77D9-F74B-C01F377D264F</guid>
<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank. 2009. Global Economic Prospects 2009. http://www.worldbank.org/gep2009 (Accessed January 9, 2008)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Agricultural trends, production, fertilisers, irrigation and pesticides</title>
<link>http://maps.grida.no/go/graphic/agricultural-trends-production-fertilisers-irrigation-and-pesticides</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Figure 8: Global trends (1960–2005) in cereal and meat production, use of fertilizer, irrigation and pesticides.
(Source: Tilman, 2002; FAO, 2003; International Fertilizer Association, 2008; FAOSTAT, 2009).</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/agricultural-trends-production-fertilisers-irrigation-and-pesticides_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>226</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Figure 8: Global trends (1960–2005) in cereal and meat production, use of fertilizer, irrigation and pesticides.
(Source: Tilman, 2002; FAO, 2003; International Fertilizer Association, 2008; FAOSTAT, 2009).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/agricultural-trends-production-fertilisers-irrigation-and-pesticides.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agricultural Organization of the United Nations (FAO). 2008. FAOSTAT ProdSTAT, Livestock Primary. http://faostat.fao.org/site/612/default.aspx (Accessed November 12, 2008)
Food and Agricultural Organization of the United Nations (FAO). 2008. FAOSTAT ProdSTAT, Crops. http://faostat.fao.org/site/612/default.aspx (Accessed November 12, 2008)
Food and Agricultural Organization of the United Nations (FAO). 2008. FAOSTAT ResourceSTAT, Pesticides Trade. http://faostat.fao.org/site/423/default.aspx (Accessed November 12, 2008)
Food and Agricultural Organization of the United Nations (FAO). 2009. FAOSTAT ResourceSTAT, Total area equipped for irrigation. http://faostat.fao.org/site/377/default.aspx (Accessed January 22, 2008)
International Fertiliser Association. 2008. IFADATA. HYPERLINK 'http://www.fertilizer.org/ifa/ifadata/search' http://www.fertilizer.org/ifa/ifadata/search (Accessed November 12, 2008)
Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat. 2007. World Population Prospects: The 2006 Revision and World Urbanization Prospects: The 2005 Revision. HYPERLINK 'http://esa.un.org/unpp' http://esa.un.org/unpp (Accessed November 12, 2008)
Tilman, David et al. 2002. Agricultural sustainability and intensive production practices. Nature 418:671-677</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Agricultural water withdrawals as proportion of total water withdrawals</title>
<link>http://maps.grida.no/go/graphic/agricultural-water-withdrawals-as-proportion-of-total-water-withdrawals</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Agriculture already consumes 70% of all global freshwater withdrawn worldwide and has depleted soil nutrients, resulting in N, P and K deficiencies covering 59%, 85%, and 90% of harvested area respectively in the year 2000 coupled with a 1,136 million Mg yr loss of total global production.</description>
<pubDate>Tue, 15 Apr 2008 22:52:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/agricultural-water-withdrawals-as-proportion-of-total-water-withdrawals_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>185</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Agriculture already consumes 70% of all global freshwater withdrawn worldwide and has depleted soil nutrients, resulting in N, P and K deficiencies covering 59%, 85%, and 90% of harvested area respectively in the year 2000 coupled with a 1,136 million Mg yr loss of total global production.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/agricultural-water-withdrawals-as-proportion-of-total-water-withdrawals_003.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>water</g:label>
<g:label>depletion</g:label>
<g:label>desertification</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO, Aquastat, 2007</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Agriculture and Fisheries</title>
<link>http://maps.grida.no/go/graphic/agriculture-and-fisheries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay and Matthias Beilstein, Zoï Environment Network</mapsgrida:designer>
<description>Environment and Security in the Mediterranean: Agriculture and Fisheries</description>
<pubDate>Fri, 20 Nov 2009 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/agriculture-and-fisheries_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>140</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay and Matthias Beilstein, Zoï Environment Network</g:author>
<mapsgrida:descriptionnonhtml>Environment and Security in the Mediterranean: Agriculture and Fisheries</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/agriculture-and-fisheries_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D90605EB-ED86-8800-95EA-11DD014A11DD</guid>
<g:label>global</g:label>
<g:label>environment</g:label>
<g:label>degradation</g:label>
<g:label>human</g:label>
<g:label>security</g:label>
<g:label>Mediterranean</g:label>
<dc:contributor>Emmanuelle Bournay and Matthias Beilstein, Zoï Environment Network</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Plan Bleu, Swiss World Atlas, Geographie Europas (Lehrmittelverlag des Kantons Zürich)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Agriculture and manufacturing waste generation</title>
<link>http://maps.grida.no/go/graphic/agriculture_and_manufacturing_waste_generation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Agricultural waste consists of things like pesticide waste, discarded pesticide containers, plastics such as silage wrap, bags and sheets, packaging waste, old machinery, oil and waste veterinary medicines. In a comparison between selected European countries, Hungary and Ireland have a greater share of waste from agriculture and forestry.</description>
<pubDate>Tue, 07 Feb 2006 21:59:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/agriculture_and_manufacturing_waste_generation_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>210</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Agricultural waste consists of things like pesticide waste, discarded pesticide containers, plastics such as silage wrap, bags and sheets, packaging waste, old machinery, oil and waste veterinary medicines. In a comparison between selected European countries, Hungary and Ireland have a greater share of waste from agriculture and forestry.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/agriculture_and_manufacturing_waste_generation_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/106F45CE-5625-A300-950F-9CB996B0577D</guid>
<g:label>geoeurope</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>agriculture</g:label>
<g:label>forestry</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>OECD, 2002</dc:source>
<geo:lat>59</geo:lat>
<geo:long>4</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>33 -27</gml:lowerCorner>
<gml:upperCorner>85 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Agriculture in Africa, value added out of GDP</title>
<link>http://maps.grida.no/go/graphic/agriculture_in_africa_value_added_out_of_gdp</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>For the future of Africa, agriculture remains one of the most important issues. A majority of the population, especially outside urban areas, are involved in agriculture, and food security is one of the most important issues to solve in the short term in some parts of the region. The current financial importance varies, as presented in this map, with agriculture representing up to 50-60% of the total economy in some countries (Guinea-Bissau, Central Africa, Ethiopia) and representing 20-40% in Sub-Saharan Africa.</description>
<pubDate>Thu, 02 Nov 2006 16:51:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_agriculture_in_africa_value_added_out_of_gdp_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>198</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>For the future of Africa, agriculture remains one of the most important issues. A majority of the population, especially outside urban areas, are involved in agriculture, and food security is one of the most important issues to solve in the short term in some parts of the region. The current financial importance varies, as presented in this map, with agriculture representing up to 50-60% of the total economy in some countries (Guinea-Bissau, Central Africa, Ethiopia) and representing 20-40% in Sub-Saharan Africa.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_agriculture_in_africa_value_added_out_of_gdp_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10E39380-D5CA-7E08-44CD-10DE4D38B119</guid>
<g:label>geoafrica</g:label>
<g:label>agriculture</g:label>
<g:label>land</g:label>
<g:label>rainfed agriculture</g:label>
<g:label>crops</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP GEO Data portal</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Agriculture land use distribution - croplands and pasture land</title>
<link>http://maps.grida.no/go/graphic/agriculture-land-use-distribution-croplands-and-pasture-land1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The World's agricultural land is used in different ways, depending on climatic and soil factors, but also related to cultural and social issues. The majority of croplands, where rice, wheat, legumes and corn - among other crops - are spread out in the Northern Hemisphere, in the temperate zone, and in South and Eastern Asia. Areas where primarily livestock is held for agricultural are dominant in Africa, South America and Australia.</description>
<pubDate>Thu, 25 Oct 2007 16:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/agriculture-land-use-distribution-croplands-and-pasture-land.gif</photo:thumbnail>
<mapsgrida:thumbnailWidth>210</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>150</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The World&apos;s agricultural land is used in different ways, depending on climatic and soil factors, but also related to cultural and social issues. The majority of croplands, where rice, wheat, legumes and corn - among other crops - are spread out in the Northern Hemisphere, in the temperate zone, and in South and Eastern Asia. Areas where primarily livestock is held for agricultural are dominant in Africa, South America and Australia.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/agriculture-land-use-distribution-croplands-and-pasture-land_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>grazing</g:label>
<g:label>livestock</g:label>
<g:label>crops</g:label>
<g:label>croplands</g:label>
<g:label>pasture lands</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Center for Sustainability and the Global Environment (SAGE) at University of Wisconsin-Madison. 2003. Global Land Use Database - Cropland extent 1992. http://www.sage.wisc.edu:16080/iamdata/ (Accessed July 10, 2007)
Center for Sustainability and the Global Environment (SAGE) at University of Wisconsin-Madison. 2003. Global Land Use Database – Grazing land extent 1992. http://www.sage.wisc.edu:16080/iamdata/ (Accessed July 10, 2007)
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Air temperature in the Barents Region in summer</title>
<link>http://maps.grida.no/go/graphic/air_temperature_in_the_barents_region_in_summer</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. In order to better understand the trends in global warming accurate readings of temperature needs to be made. This map shows the average temperatures in the Barents region in July and is meant to show the difference in the January temperatures. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/air_temperature_in_the_barents_region_in_summer_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>127</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. In order to better understand the trends in global warming accurate readings of temperature needs to be made. This map shows the average temperatures in the Barents region in July and is meant to show the difference in the January temperatures. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/air_temperature_in_the_barents_region_in_summer_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FB8AF7F9-4B20-4E81-8E55-57B496F50E07</guid>
<g:label>barentsregion</g:label>
<g:label>Arctic</g:label>
<g:label>Barents</g:label>
<g:label>Temperature</g:label>
<g:label>Climate</g:label>
<g:label>Russia</g:label>
<g:label>Finland</g:label>
<g:label>climate change</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentsregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Finnish Barents Group</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>39</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 5</gml:lowerCorner>
<gml:upperCorner>85 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Air temperature in the Barents Region in winter</title>
<link>http://maps.grida.no/go/graphic/air_temperature_in_the_barents_region_in_winter</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. In order to better understand the trends in global warming accurate readings of temperature needs to be made. This map shows the average temperatures in the Barents region in January and is meant to show the difference between the July temperatures. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/air_temperature_in_the_barents_region_in_winter_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>127</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. In order to better understand the trends in global warming accurate readings of temperature needs to be made. This map shows the average temperatures in the Barents region in January and is meant to show the difference between the July temperatures. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/air_temperature_in_the_barents_region_in_winter_001.jpg</g:image_link>
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<g:label>barentsregion</g:label>
<g:label>Arctic</g:label>
<g:label>Barents</g:label>
<g:label>Temperature</g:label>
<g:label>Climate</g:label>
<g:label>climate change</g:label>
<g:label>global warming</g:label>
<g:label>russia</g:label>
<g:label>finland</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentsregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Finnish Barents Group</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>39</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 5</gml:lowerCorner>
<gml:upperCorner>85 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Alaska, indigenous population</title>
<link>http://maps.grida.no/go/graphic/alaska-indigenous-population</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Depending on the definition of the boundaries of the region, the Arctic is home to some 4 million inhabitants. Roughly one-third of this total population is indigenous peoples, spread over numerous communities around the Arctic. The indigenous proportion of each polar region varies significantly- from 88% of the regional population in Nunavut Territory in Canada (the Inuit), to 2.5% in the North of Scandanavia and the Kola Peninsulathat (the Saami).
Despite tremendous social and political upheaval, increasing pressure from industrial development, climate change impacts and pollution, many of these communities still maintain vibrant traditional - and sustainable- lifestyles closely linked to the natural environment.</description>
<pubDate>Tue, 21 Mar 2006 09:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/alaska_indigenous_population_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>264</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Depending on the definition of the boundaries of the region, the Arctic is home to some 4 million inhabitants. Roughly one-third of this total population is indigenous peoples, spread over numerous communities around the Arctic. The indigenous proportion of each polar region varies significantly- from 88% of the regional population in Nunavut Territory in Canada (the Inuit), to 2.5% in the North of Scandanavia and the Kola Peninsulathat (the Saami).
Despite tremendous social and political upheaval, increasing pressure from industrial development, climate change impacts and pollution, many of these communities still maintain vibrant traditional - and sustainable- lifestyles closely linked to the natural environment.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/alaska_indigenous_population_001.jpg</g:image_link>
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<g:label>alaska</g:label>
<g:label>demography</g:label>
<g:label>population</g:label>
<g:label>indigenous peoples</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>alaska</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>AMAP, 1997. Arctic Pollution Issues: A State of the Arctic Environment Report. Arctic monitoring and Assessment Programme (AMAP), Oslo, Norway. xii+188 pp.</dc:source>
<geo:lat>61</geo:lat>
<geo:long>-155</geo:long>
<georss:where>
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<gml:lowerCorner>50 -180</gml:lowerCorner>
<gml:upperCorner>72 -130</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Albania, topographic map</title>
<link>http://maps.grida.no/go/graphic/albania_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Albania is located in Southeastern Europe, bordering the Adriatic Sea and Ionian Sea, between Greece and Serbia and Montenegro comprising of 28,748 sq km. It has an estimated population of 3,563,112 (2005). Major environmental concerns are deforestation; soil erosion; water pollution from industrial and domestic effluents.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/albania_topographic_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>137</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Albania is located in Southeastern Europe, bordering the Adriatic Sea and Ionian Sea, between Greece and Serbia and Montenegro comprising of 28,748 sq km. It has an estimated population of 3,563,112 (2005). Major environmental concerns are deforestation; soil erosion; water pollution from industrial and domestic effluents.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/albania_topographic_map.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5654FF34-0409-4A10-9693-9890A034C221</guid>
<g:label>AL</g:label>
<g:label>Albania</g:label>
<g:label>topography</g:label>
<g:label>Adriatic</g:label>
<g:label>Ionian</g:label>
<g:label>Europe</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AL</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Times Atlas of the World</dc:source>
<geo:lat>40.5</geo:lat>
<geo:long>20</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>39 19</gml:lowerCorner>
<gml:upperCorner>42 21</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Albania, topographic map with railroad routes</title>
<link>http://maps.grida.no/go/graphic/albania_topographic_map_with_railroad_routes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Albania is located in Southeastern Europe, bordering the Adriatic Sea and Ionian Sea, between Greece and Serbia and Montenegro comprising of 28,748 sq km. It has an estimated population of 3,563,112 (2005). Major environmental concerns are deforestation; soil erosion; water pollution from industrial and domestic effluents.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/albania_topographic_map_with_railroad_routes_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>105</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Albania is located in Southeastern Europe, bordering the Adriatic Sea and Ionian Sea, between Greece and Serbia and Montenegro comprising of 28,748 sq km. It has an estimated population of 3,563,112 (2005). Major environmental concerns are deforestation; soil erosion; water pollution from industrial and domestic effluents.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/albania_topographic_map_with_railroad_routes.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BC7D2A18-9524-4BED-AC28-C0D1324F166A</guid>
<g:label>AL</g:label>
<g:label>albania</g:label>
<g:label>balkans</g:label>
<g:label>topography</g:label>
<g:label>railway</g:label>
<g:label>adriatic sea</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AL</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Department of Public Information of the United Nations, Cartographic Section</dc:source>
<geo:lat>40.5</geo:lat>
<geo:long>20</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>39 19</gml:lowerCorner>
<gml:upperCorner>42 21</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Albedo of basic thick sea ice surface types</title>
<link>http://maps.grida.no/go/graphic/albedo-of-basic-thick-sea-ice-surface-types</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The albedo for different surface conditions on the sea ice range widely, from roughly 85 per cent of radiation reflected for snow-covered ice to 7 per cent for open water. These two surfaces cover the range from the largest to the smallest albedo on earth. Melting snow, bare ice and ponded ice lie within this range. There is a general decrease in the albedo of the ice cover during the melt season as the snow-covered ice is replaced by a mix of melting snow, bare ice, and ponded ice. As the melt season progresses, the bare ice albedo remains fairly stable, but the pond albedo decreases. During summer the ice cover retreats, exposing more of the ocean, and the albedo of the remaining ice decreases as the snow cover melts and melt ponds form and evolve. These processes combine to form the ice–albedo feedback mechanism.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/albedo-of-basic-thick-sea-ice-surface-types_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>290</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The albedo for different surface conditions on the sea ice range widely, from roughly 85 per cent of radiation reflected for snow-covered ice to 7 per cent for open water. These two surfaces cover the range from the largest to the smallest albedo on earth. Melting snow, bare ice and ponded ice lie within this range. There is a general decrease in the albedo of the ice cover during the melt season as the snow-covered ice is replaced by a mix of melting snow, bare ice, and ponded ice. As the melt season progresses, the bare ice albedo remains fairly stable, but the pond albedo decreases. During summer the ice cover retreats, exposing more of the ocean, and the albedo of the remaining ice decreases as the snow cover melts and melt ponds form and evolve. These processes combine to form the ice–albedo feedback mechanism.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/albedo-of-basic-thick-sea-ice-surface-types_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/96996EF8-D8C3-1442-21F9-FB41313064E3</guid>
<g:label>global</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>sea-ice</g:label>
<g:label>climate</g:label>
<g:label>climate change</g:label>
<g:label>feedback</g:label>
<g:label>climatology</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Pegau, W.S. and Paulson, C.A. (2001). The albedo of Arctic leads in summer. Ann. Glaciol., 33, 221–224
Perovich, D.K., Grenfell, T.C., Light, B. and Hobbs, P.V. (2002). Seasonal evolution of the albedo of multiyear Arctic sea ice. J. Geophys. Res., 107(C10), 8044, doi:10.1029/2000JC000438</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Aleutian and Pribilof Islands, reference map</title>
<link>http://maps.grida.no/go/graphic/aleutian_and_pribilof_islands_reference_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This map locates two groups of islands, outside continental Alaska - the Pribiliof and Aleutian Islands. These islands are located in the Pacific Ocean and the south end of the Bering Sea in the Arctic, and are a part of the USA.</description>
<pubDate>Fri, 17 Mar 2006 13:13:28 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/aleutian_and_pribilof_islands_reference_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>136</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This map locates two groups of islands, outside continental Alaska - the Pribiliof and Aleutian Islands. These islands are located in the Pacific Ocean and the south end of the Bering Sea in the Arctic, and are a part of the USA.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/aleutian_and_pribilof_islands_reference_map_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14D42383-1082-F112-5216-EF960C4D0110</guid>
<g:label>alaska</g:label>
<g:label>aleutian islands</g:label>
<g:label>alska</g:label>
<g:label>pacific</g:label>
<g:label>berings sea</g:label>
<g:label>pribilof islands</g:label>
<g:label>aleuts</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>alaska</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>N/A</dc:source>
<geo:lat>61</geo:lat>
<geo:long>-155</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>50 -180</gml:lowerCorner>
<gml:upperCorner>72 -130</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Alkalinity in major rivers</title>
<link>http://maps.grida.no/go/graphic/alkalinity_in_major_rivers</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic shows the average bicarbonate concentrations, in milligrams per litre, at major river mouths for the time periods 1976 to 1990 and 1991 to 2000. The graphic also shows the changes in average bicarbonate levels between these two time periods. Bicarbonate is an indication of the alkalinity in the rivers which reflects the geology (rock, minerals, sand) and increases the buffering capacity, but can also increase the risk of eutrophication (excess nutrients).</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/alkalinity_in_major_rivers_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>84</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic shows the average bicarbonate concentrations, in milligrams per litre, at major river mouths for the time periods 1976 to 1990 and 1991 to 2000. The graphic also shows the changes in average bicarbonate levels between these two time periods. Bicarbonate is an indication of the alkalinity in the rivers which reflects the geology (rock, minerals, sand) and increases the buffering capacity, but can also increase the risk of eutrophication (excess nutrients).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/alkalinity_in_major_rivers.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7E8C5E45-6A0A-4974-84EC-89E60F3D7504</guid>
<g:label>global</g:label>
<g:label>bicarbonate levels</g:label>
<g:label>rivers</g:label>
<g:label>freshwater</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP- Global Environment Monitoring System (GEMS) Water Programme, 2001; National Water Research Institute Environment Canada, Ontario, 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>All actors towards a climate neutral society</title>
<link>http://maps.grida.no/go/graphic/all-actors-towards-a-climate-neutral-society</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Visualizing investments necessary and savings to be done by individuals as consumers, residents, travelers, citizens, parent and professionals. </description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/all-actors-towards-a-climate-neutral-society_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>136</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Visualizing investments necessary and savings to be done by individuals as consumers, residents, travelers, citizens, parent and professionals. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/all-actors-towards-a-climate-neutral-society.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CED5B1EB-99CB-11C7-16D7-FA7C59BE651F</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>All actors towards a climate neutral society</title>
<link>http://maps.grida.no/go/graphic/all-actors-towards-a-climate-neutral-society1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>About All actors towards a climate neutral society</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/all-actors-towards-a-climate-neutral-society_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>136</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>About All actors towards a climate neutral society</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/all-actors-towards-a-climate-neutral-society_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5CC44BC0-F1D9-FF83-1C27-7F4223CDAB7E</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP / GRID-Arendal, 2008</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>All recipient and contributor countries of the Multilateral Fund</title>
<link>http://maps.grida.no/go/graphic/all-recipient-and-contributor-countries-of-the-multilateral-fund</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Countries receive funds according to their compliance needs. That is, they receive funds to phase-out specific amounts of ozone depleting substances (ODS) production and consumption. Hence, ODS producer countries and high consumers receive more funds since they have greater needs.</description>
<pubDate>Sat, 12 Jan 2008 21:53:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/all-recipient-and-contributor-countries-of-the-multilateral-fund_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>457</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Countries receive funds according to their compliance needs. That is, they receive funds to phase-out specific amounts of ozone depleting substances (ODS) production and consumption. Hence, ODS producer countries and high consumers receive more funds since they have greater needs.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/all-recipient-and-contributor-countries-of-the-multilateral-fund_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/149DDD3F-1256-AEEE-7725-A8F11FBF52F2</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>Multilateral Fund</g:label>
<g:label>Montreal Protocol</g:label>
<g:label>chlorofluorocarbons</g:label>
<g:label>CFCs</g:label>
<g:label>depletion</g:label>
<g:label>ozone hole</g:label>
<g:label>ozone depleting substances</g:label>
<g:label>ODS</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Multilateral Fund, 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Amazonian Deforestation in the Global Context</title>
<link>http://maps.grida.no/go/graphic/amazonian-deforestation-in-the-global-context</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Growing global demand for land for the production
of agricultural commodities has resulted in sometimes
irreversible changes to the world’s forest cover. The Amazon is now part of a
national and international economy
which, through globalization, is
responding to market demands, accelerating
the rate at which agricultural
crops and cattle ranching are replacing
or impoverishing native forests
(Nepstad et al. 2006).</description>
<pubDate>Thu, 08 Oct 2009 22:28:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/amazonian-deforestation-in-the-global-context_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>155</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Growing global demand for land for the production
of agricultural commodities has resulted in sometimes
irreversible changes to the world’s forest cover. The Amazon is now part of a
national and international economy
which, through globalization, is
responding to market demands, accelerating
the rate at which agricultural
crops and cattle ranching are replacing
or impoverishing native forests
(Nepstad et al. 2006).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/amazonian-deforestation-in-the-global-context_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/605103B1-B81F-1579-2F2F-F3A16E6F2438</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Woods Hole Research Center 2007; Amazon Institute for Environmental Research et al. 2006; Reuters 2008. Research, information collection and elaboration by Giulio Frigieri, University of Bologna, Italy, 2008.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>An increasing number of countries are leasing land abroad to sustain and secure their food production</title>
<link>http://maps.grida.no/go/graphic/an-increasing-number-of-countries-are-leasing-land-abroad-to-sustain-and-secure-their-food-productio</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>The world regions are sharply divided in terms of their capacity
to use science in promoting agricultural productivity in order
to achieve food security and reduce poverty and hunger. For every
US$100 of agricultural output, developed countries spend
US$2.16 on public agricultural research and development
(R&amp;D), whereas developing countries spend only US$0.55 (IFPRI,
2008). Total agricultural R&amp;D spending in developing
countries increased from US$3.7 billion (1991) to US$4.4 billion
(2000), or by 1.6% annually (IFPRI, 2008). This spending
was largely driven by Asia, where annual spending increased by
3.3 percent. Today, Asia accounts for 42% of total agricultural
R&amp;D spending in developing countries (with China and India
accounting for 18 and 10%, respectively). In Africa, agricultural
R&amp;D expenditure declined slightly, by 0.4%/year. Although Africa
is geographically large, its share in R&amp;D spending is only
13%. Latin America accounts for 33% (with Brazil being responsible
for 48% of the region’s spending).</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/an-increasing-number-of-countries-are-leasing-land-abroad-to-sustain-and-secure-their-food-productio_thumbnail_008.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>106</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>The world regions are sharply divided in terms of their capacity
to use science in promoting agricultural productivity in order
to achieve food security and reduce poverty and hunger. For every
US$100 of agricultural output, developed countries spend
US$2.16 on public agricultural research and development
(R&amp;D), whereas developing countries spend only US$0.55 (IFPRI,
2008). Total agricultural R&amp;D spending in developing
countries increased from US$3.7 billion (1991) to US$4.4 billion
(2000), or by 1.6% annually (IFPRI, 2008). This spending
was largely driven by Asia, where annual spending increased by
3.3 percent. Today, Asia accounts for 42% of total agricultural
R&amp;D spending in developing countries (with China and India
accounting for 18 and 10%, respectively). In Africa, agricultural
R&amp;D expenditure declined slightly, by 0.4%/year. Although Africa
is geographically large, its share in R&amp;D spending is only
13%. Latin America accounts for 33% (with Brazil being responsible
for 48% of the region’s spending).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/an-increasing-number-of-countries-are-leasing-land-abroad-to-sustain-and-secure-their-food-productio_008.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1164D38B-6E9E-96AD-66B7-14FE9E4C7E18</guid>
<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>GRAIN, 2008; Mongabay 2008.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Animal proteins: the good, the bad and the ugly</title>
<link>http://maps.grida.no/go/graphic/animal-proteins-the-good-the-bad-and-the-ugly1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Kilograms of CO2 equivalents
per 100 kilocalories of product</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/animal-proteins-the-good-the-bad-and-the-ugly_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>317</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Kilograms of CO2 equivalents
per 100 kilocalories of product</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/animal-proteins-the-good-the-bad-and-the-ugly_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/66B97520-1007-BF41-3A79-C060F182815B</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>fatknowledge.blogspot.com</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Animal proteins: the good, the bad and the ugly</title>
<link>http://maps.grida.no/go/graphic/animal-proteins-the-good-the-bad-and-the-ugly</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Meat imports in 2005 and Meat consumption displayed as kilograms of CO2 equivalents per 100 kilocalories of product for major countries around the world.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/animal-proteins-the-good-the-bad-and-the-ugly_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>132</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Meat imports in 2005 and Meat consumption displayed as kilograms of CO2 equivalents per 100 kilocalories of product for major countries around the world.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/animal-proteins-the-good-the-bad-and-the-ugly_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14C74E76-BE47-5FBC-8FA4-6E92B0494F95</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agriculture Organization of the United Nations, 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Annual cycle of light in the Northern Arctic</title>
<link>http://maps.grida.no/go/graphic/annual_cycle_of_light_in_the_northern_arctic</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Beatrice Collignon, Sorbonne University</mapsgrida:designer>
<description>The Arctic is often described as a place of utter darkness or white snow in winter and of midnight sun during the summertime. In fact, there are few places on Earth where the sun displays so much variation in colour due to the low angle of the sun reflected on the mountains, snow and sky over long periods of time. North of the Arctic Circle the sun disappears during winter for days to months, depending upon latitude, leaving the sky in a palette of blues, greys, reds, oranges and purples. The moon, snow, angle of the sun and the northern lights add to this diversity. This image illustrate the length of the at day Holman, Northwest Territories in the Canadian Arctic (70°44'N - 117°43'W).</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/annual_cycle_of_light_in_the_northern_arctic_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>111</mapsgrida:thumbnailHeight>
<g:author>Beatrice Collignon, Sorbonne University</g:author>
<mapsgrida:descriptionnonhtml>The Arctic is often described as a place of utter darkness or white snow in winter and of midnight sun during the summertime. In fact, there are few places on Earth where the sun displays so much variation in colour due to the low angle of the sun reflected on the mountains, snow and sky over long periods of time. North of the Arctic Circle the sun disappears during winter for days to months, depending upon latitude, leaving the sky in a palette of blues, greys, reds, oranges and purples. The moon, snow, angle of the sun and the northern lights add to this diversity. This image illustrate the length of the at day Holman, Northwest Territories in the Canadian Arctic (70°44&apos;N - 117°43&apos;W).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/annual_cycle_of_light_in_the_northern_arctic_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12AB00ED-7661-4219-B9AE-89886A95CBFC</guid>
<g:label>nwt</g:label>
<g:label>daylight</g:label>
<dc:contributor>Beatrice Collignon, Sorbonne University</dc:contributor>
<dc:coverage>nwt</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>n/a</dc:source>
<geo:lat>70</geo:lat>
<geo:long>-119.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 -137</gml:lowerCorner>
<gml:upperCorner>80 -102</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Annual deforestation in the Amazon and resulting CO2 emissions</title>
<link>http://maps.grida.no/go/graphic/annual_deforestation_in_the_amazon_and_resulting_co2_emissions</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>According to the World Resources Institute,Brazil had the highest carbon dioxide equivalent emissions in the region in 2001, primarily due to changes in land use.) Most of the region’s forests are in South America, particularly in Brazil and Peru, which comprise 92% of the total forest cover. These countries are among the 10 that hold two-thirds of the world’s forests and jungles.
Because of its size, the greatest extent of deforestation is in Brazil, but the deforestation rates are higher in Mexico and Argentina. While the deforestation rate in Brazil in the 1990s was 0.4%, the rate in Mexico and Argentina was 1.1% and 0.8%, respectively.
Tree-felling in the Brazilian Amazon basin during the last decade increased by 32%, from 14,000 to 18,000 square kilometres per year.
The major sources of pressure in the forests include the expansion of farming and livestock activities and urban spread, which force a re-conversion of the land. More recently, there has also been the impact of plants in the Amazon and Cerrado regions that are involved in the production of beef and soybean substitutes, with a harmful impact on the forests.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/annual_deforestation_in_the_amazon_and_resulting_co2_emissions_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>179</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>179</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>According to the World Resources Institute,Brazil had the highest carbon dioxide equivalent emissions in the region in 2001, primarily due to changes in land use.) Most of the region’s forests are in South America, particularly in Brazil and Peru, which comprise 92% of the total forest cover. These countries are among the 10 that hold two-thirds of the world’s forests and jungles.
Because of its size, the greatest extent of deforestation is in Brazil, but the deforestation rates are higher in Mexico and Argentina. While the deforestation rate in Brazil in the 1990s was 0.4%, the rate in Mexico and Argentina was 1.1% and 0.8%, respectively.
Tree-felling in the Brazilian Amazon basin during the last decade increased by 32%, from 14,000 to 18,000 square kilometres per year.
The major sources of pressure in the forests include the expansion of farming and livestock activities and urban spread, which force a re-conversion of the land. More recently, there has also been the impact of plants in the Amazon and Cerrado regions that are involved in the production of beef and soybean substitutes, with a harmful impact on the forests.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/annual_deforestation_in_the_amazon_and_resulting_co2_emissions.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/0D8B62D5-4944-42D0-9DDF-A8C4AA4C2F2E</guid>
<g:label>geosameric</g:label>
<g:label>amazon</g:label>
<g:label>deforestation</g:label>
<g:label>emissions</g:label>
<g:label>CO2</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geosameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP 1999; La Rovere 2000; Cramer 2004</dc:source>
<geo:lat>-20.5</geo:lat>
<geo:long>-58</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-57 -83</gml:lowerCorner>
<gml:upperCorner>16 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Annual flow of benefits from forests in selected countries</title>
<link>http://maps.grida.no/go/graphic/annual-flow-of-benefits-from-forests-in-selected-countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In most countries, the marketed values of ecosystems associated with timber and fuelwood production are less than one third of the total economic value, including non-marketed values such as carbon sequestration, watershed protection, and recreation.</description>
<pubDate>Sun, 27 Jan 2008 19:19:12 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/annual-flow-of-benefits-from-forests-in-selected-countries_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>345</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In most countries, the marketed values of ecosystems associated with timber and fuelwood production are less than one third of the total economic value, including non-marketed values such as carbon sequestration, watershed protection, and recreation.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/annual-flow-of-benefits-from-forests-in-selected-countries.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10B2ED8E-CDC4-6107-D357-12C58F06E915</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>economy</g:label>
<g:label>grazing</g:label>
<g:label>lumber</g:label>
<g:label>ecosystems</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Annual flow of water to the Caspian Sea</title>
<link>http://maps.grida.no/go/graphic/annual-flow-of-water-to-the-caspian-sea</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Most of the water flowing into the sea comes from coastal rivers – currently supplying 300 to 310 cubic km a year. The Volga alone accounts for 80% of inflow. But it has dropped substantially during the 20th century, declining from about 400 cubic km in the 1920-30s to between 260 cubic km and 270 cubic km at present, due to various climatic factors and human activities such as dams built for hydroelectric energy production.</description>
<pubDate>Wed, 23 Jan 2008 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/annual-flow-of-water-to-the-caspian-sea_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>412</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Most of the water flowing into the sea comes from coastal rivers – currently supplying 300 to 310 cubic km a year. The Volga alone accounts for 80% of inflow. But it has dropped substantially during the 20th century, declining from about 400 cubic km in the 1920-30s to between 260 cubic km and 270 cubic km at present, due to various climatic factors and human activities such as dams built for hydroelectric energy production.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/annual-flow-of-water-to-the-caspian-sea.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D54AF617-5509-C8F5-5DE4-13944AE8AA53</guid>
<g:label>caspianregion</g:label>
<g:label>caspian sea</g:label>
<g:label>water level</g:label>
<g:label>rainfall</g:label>
<g:label>rivers</g:label>
<g:label>water scarcity</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caspianregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Worldlake database, International Lake Environment Committee (ILEC), 2005.</dc:source>
<geo:lat>42.5</geo:lat>
<geo:long>55</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>30 40</gml:lowerCorner>
<gml:upperCorner>55 70</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Annual rainfall</title>
<link>http://maps.grida.no/go/graphic/annual-rainfall</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Sumatran orangutans live in lowland tropical rainforests, with precipitation normally between 1,680 mm and 4,070 mm annually. Western regions receive much more rain than those in the east, as prevailing winds from the Indonesian ocean are forced upwards, cooling rapidly and condensing water vapour, which then falls as precipitation.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/annual-rainfall_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>251</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Sumatran orangutans live in lowland tropical rainforests, with precipitation normally between 1,680 mm and 4,070 mm annually. Western regions receive much more rain than those in the east, as prevailing winds from the Indonesian ocean are forced upwards, cooling rapidly and condensing water vapour, which then falls as precipitation.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/annual-rainfall_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FA98561B-66BB-1899-1A53-691C0CB762CA</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Hillshade generated from SRTM 90m DEM available from the CGIAR website (http://srtm.csi.cgiar.org/).
Bathymetry from the ETOPO1 Global Relief Model downloaded from: http://www.ngdc.noaa.gov/mgg/global/global.html
Sumatran orangutan distribution shapefile prepared by Singleton and Wich and based on Wich et al. 2008 with unpublished data added.
Shapefile for lakes digitized by PanEco/YEL from Landsat mosaics (see above overview).
Rainfall layer adapted from Grid (1km) of Average Annual Rainfall (Zone29) downloaded from the WorldClim website (http://www.worldclim.org).
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Annual snowfall pattern for a typical mountain environment, Columbine Pass, Colorado 1971-2000</title>
<link>http://maps.grida.no/go/graphic/annual-snowfall-pattern-for-a-typical-mountain-environment-columbine-pass-colorado-1971-2000</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Mountain snow cover typically develops in the autumn and grows to a maximum depth in early spring. As day length and sun angles increase, so do air temperatures, causing snow cover to warm and begin to melt. Snow cover balances the availability of water in mountain environments. Where winter precipitation falls as rain, surface runoff occurs almost immediately. In contrast, snow stores water during the winter and then melts in the spring and early summer, creating peak stream flows in the afternoon and an overall seasonal peak flow. In many semi-arid mountain environments, snow melt buffers the transition into the dry summer season. Mountain snow is also a key source of groundwater, since a significant portion of the snow melt enters the soil and drains downhill into valley sediments. The timing, spatial distribution, and volume of snow melt are critical for determining how much water flows as surface runoff into rivers and lakes and how much becomes groundwater. This figure presents the annual snowfall distribution for a typical mountain environment, exemplified by Columbine Pass in Colorado, USA. Snow water equivalent is a typical measure of snowfall and snowpack, where snow is measured as the amount of water it represents, when melted.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/annual-snowfall-pattern-for-a-typical-mountain-environment-columbine-pass-colorado-1971-2000_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>126</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Mountain snow cover typically develops in the autumn and grows to a maximum depth in early spring. As day length and sun angles increase, so do air temperatures, causing snow cover to warm and begin to melt. Snow cover balances the availability of water in mountain environments. Where winter precipitation falls as rain, surface runoff occurs almost immediately. In contrast, snow stores water during the winter and then melts in the spring and early summer, creating peak stream flows in the afternoon and an overall seasonal peak flow. In many semi-arid mountain environments, snow melt buffers the transition into the dry summer season. Mountain snow is also a key source of groundwater, since a significant portion of the snow melt enters the soil and drains downhill into valley sediments. The timing, spatial distribution, and volume of snow melt are critical for determining how much water flows as surface runoff into rivers and lakes and how much becomes groundwater. This figure presents the annual snowfall distribution for a typical mountain environment, exemplified by Columbine Pass in Colorado, USA. Snow water equivalent is a typical measure of snowfall and snowpack, where snow is measured as the amount of water it represents, when melted.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/annual-snowfall-pattern-for-a-typical-mountain-environment-columbine-pass-colorado-1971-2000.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A694CC79-D8FD-ABE5-E985-76334CB7F539</guid>
<g:label>colorado</g:label>
<g:label>cryosphere</g:label>
<g:label>snow</g:label>
<g:label>climatology</g:label>
<g:label>climate</g:label>
<g:label>precipitation</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>colorado</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Based on data from the U.S. National Resources Conservation Service</dc:source>
<geo:lat>39.5</geo:lat>
<geo:long>-104.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>37 -108</gml:lowerCorner>
<gml:upperCorner>42 -101</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Annual Temperatures Increases for 2001-2005 Relative to 1951-1980</title>
<link>http://maps.grida.no/go/graphic/annual-temperatures-increases-for-2001-2005-relative-to-1951-1980</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Laura Margueritte</mapsgrida:designer>
<description>Average surface temperature anomaly (oC)</description>
<pubDate>Wed, 28 Oct 2009 12:34:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/annual-temperatures-increases-for-2001-2005-relative-to-1951-1980_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>159</mapsgrida:thumbnailHeight>
<g:author>Laura Margueritte</g:author>
<mapsgrida:descriptionnonhtml>Average surface temperature anomaly (oC)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/annual-temperatures-increases-for-2001-2005-relative-to-1951-_984.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/6BE09A79-D1B5-15E2-235E-10D479359E30</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Laura Margueritte</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Hansen, J., et al. Global Temperature Changes, Prot. Natl. Acad. Sci. 103, 2006.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Annual world nuclear reactor construction / Spent fuel generation</title>
<link>http://maps.grida.no/go/graphic/annual-world-nuclear-reactor-construction-spent-fuel-generation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Both the volume and the level of radioactivity have to be considered – a large volume of waste with a low-level of radioactivity presents less danger than a smaller amount of
waste with a high-level of radioactivity. For example, spent fuel (elements that have been removed from a reactor
after use) makes up less than 1% of the volume of radioactive waste, but contains almost 95% of the total
radioactivity.</description>
<pubDate>Thu, 09 Feb 2006 23:37:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/annual_world_nuclear_reactor_construction_spent_fuel_generation_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>128</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Both the volume and the level of radioactivity have to be considered – a large volume of waste with a low-level of radioactivity presents less danger than a smaller amount of
waste with a high-level of radioactivity. For example, spent fuel (elements that have been removed from a reactor
after use) makes up less than 1% of the volume of radioactive waste, but contains almost 95% of the total
radioactivity.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/annual_world_nuclear_reactor_construction_spent_fuel_generation_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F95443DE-C3DE-8C1C-D986-1084DB41A41F</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>nuclear</g:label>
<g:label>fuel</g:label>
<g:label>radioactivity</g:label>
<g:label>power</g:label>
<g:label>energy</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Worldwatch, OECD</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Anomalies in Northern Hemisphere Snow Cover</title>
<link>http://maps.grida.no/go/graphic/anomalies-in-northern-hemisphere-snow-cover</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Snow cover extent has continued to decline and is projected to decline further, despite the projected increase in winter snowfall in some areas. </description>
<pubDate>Wed, 28 Oct 2009 12:54:24 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/anomalies-in-northern-hemisphere-snow-cover_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>128</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Snow cover extent has continued to decline and is projected to decline further, despite the projected increase in winter snowfall in some areas. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/anomalies-in-northern-hemisphere-snow-cover_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/124B607B-11B2-C63A-9DA9-131532B9FDA3</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>GSL, Rutger University, 2009.</dc:source>
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<geo:long>0</geo:long>
<georss:where>
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<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Antarctic Greenland</title>
<link>http://maps.grida.no/go/graphic/antarctic-greenland</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Tue, 27 Oct 2009 19:11:54 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/antarctic-greenland_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>120</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/antarctic-greenland.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11FE5366-B4E7-1778-9387-9DF242931F65</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
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</gml:Envelope>
</georss:where>
</item>
<item>
<title>Antarctic References</title>
<link>http://maps.grida.no/go/graphic/antarctic-references</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Laura Margueritte </mapsgrida:designer>
<description>Images of Antarctica (left) and Greenland (right) to scale. Antarctica is 50 per cent larger than the United States or Europe. Greenland is 7 times smaller than Antarctica. There is enough ice in Antarctica to raise global sea level by 60 metres and 7 metres in Greenland.</description>
<pubDate>Tue, 27 Oct 2009 18:53:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/antarctic-references_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>168</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Laura Margueritte </g:author>
<mapsgrida:descriptionnonhtml>Images of Antarctica (left) and Greenland (right) to scale. Antarctica is 50 per cent larger than the United States or Europe. Greenland is 7 times smaller than Antarctica. There is enough ice in Antarctica to raise global sea level by 60 metres and 7 metres in Greenland.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/antarctic-references_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/90C1D24E-1777-597E-AEFC-E6773742590E</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Laura Margueritte </dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Antarctic Specially Protected Areas</title>
<link>http://maps.grida.no/go/graphic/antarctic-specially-protected-areas</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The 1961 Antarctic treaty system, which governs the land and water south of 60 degrees latitude south, gives the environment an overall protection against human development. In addition, certain areas are specifically designated for protection, such as the Antarctic specially protected areas (ASPA), presented in this map.</description>
<pubDate>Mon, 29 May 2006 09:13:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/antarctic-specially-protected-areas_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The 1961 Antarctic treaty system, which governs the land and water south of 60 degrees latitude south, gives the environment an overall protection against human development. In addition, certain areas are specifically designated for protection, such as the Antarctic specially protected areas (ASPA), presented in this map.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/antarctic-specially-protected-areas.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1309FD70-DF0D-FDA9-5AA0-1443FF82250E</guid>
<g:label>AQ</g:label>
<g:label>antarctica</g:label>
<g:label>protected areas</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AQ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Antarctic Treaty Committee for Environmental Protection (CEP), Antarctic Specially Protected Areas Summary descriptions
http://www.cep.aq/apa/aspa/sites/ASPASummary.html
Downloaded by Gateway Antarctica in November 2005</dc:source>
<geo:lat>-75</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>-60 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Antarctica, overview</title>
<link>http://maps.grida.no/go/graphic/antarctica_overview</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Antarctic is the fifth largest continent of the world at 14 million square kilometres and is covered in a permanent continental ice. The ice is distributed in two major ice sheets, the East Antarctic and the West Antarctic, and in addition there are shelf ice, extending over the sea water.</description>
<pubDate>Fri, 17 Mar 2006 13:31:41 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/antarctica_overview_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>170</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Antarctic is the fifth largest continent of the world at 14 million square kilometres and is covered in a permanent continental ice. The ice is distributed in two major ice sheets, the East Antarctic and the West Antarctic, and in addition there are shelf ice, extending over the sea water.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/antarctica_overview_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/58CFBE9E-13B4-57A6-B768-C260B963AE2A</guid>
<g:label>AQ</g:label>
<g:label>antarctica</g:label>
<g:label>ice</g:label>
<g:label>south pole</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AQ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Various</dc:source>
<geo:lat>-75</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>-60 180</gml:upperCorner>
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</item>
<item>
<title>Antarctica, showing rates of surface-elevation change derived from satellite radar-altimeter measurements</title>
<link>http://maps.grida.no/go/graphic/antarctica-showing-rates-of-surface-elevation-change-derived-from-satellite-radar-altimeter-measurements</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The figure shows rates at which the ice-sheet mass was estimated to be changing based on radar-altimeter data (black), mass-budget calculations (red), and satellite gravity measurements (blue). Rectangles depict the time periods of observations (horizontal) and the upper and lower estimates of mass balance (vertical). Measurements by satellite techniques based on gravity indicate mass loss at a rate of 138 ± 73 billion tonnes per year during 2002–2005, mostly from the West Antarctica Ice Sheet. That is equivalent to a rise in global sea level of 0.4 ± 0.2 mm per year, or 10–30% of the global rate measured since the 1950s, and is in good agreement with recent massbudget estimates. However, two interpretations of satellite radar altimetry pointed to a much smaller loss of about 31 billion tonnes of ice per year or a net gain of about 27 billion tonnes per year. The difference between these estimates from totally independent techniques reflects the uncertainties in these difficult measurements; nevertheless, on balance, they indicate a recent shift to a net loss of Antarctic ice and suggest that losses may be accelerating. Similar conclusions result from studies of Antarctic Peninsula glaciers, indicating that they are melting much faster than previously predicted and are probably already contributing significantly to sea-level rise.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/antarctica-showing-rates-of-surface-elevation-change-derived-from-satellite-radar-altimeter-measurements_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>120</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The figure shows rates at which the ice-sheet mass was estimated to be changing based on radar-altimeter data (black), mass-budget calculations (red), and satellite gravity measurements (blue). Rectangles depict the time periods of observations (horizontal) and the upper and lower estimates of mass balance (vertical). Measurements by satellite techniques based on gravity indicate mass loss at a rate of 138 ± 73 billion tonnes per year during 2002–2005, mostly from the West Antarctica Ice Sheet. That is equivalent to a rise in global sea level of 0.4 ± 0.2 mm per year, or 10–30% of the global rate measured since the 1950s, and is in good agreement with recent massbudget estimates. However, two interpretations of satellite radar altimetry pointed to a much smaller loss of about 31 billion tonnes of ice per year or a net gain of about 27 billion tonnes per year. The difference between these estimates from totally independent techniques reflects the uncertainties in these difficult measurements; nevertheless, on balance, they indicate a recent shift to a net loss of Antarctic ice and suggest that losses may be accelerating. Similar conclusions result from studies of Antarctic Peninsula glaciers, indicating that they are melting much faster than previously predicted and are probably already contributing significantly to sea-level rise.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/antarctica-showing-rates-of-surface-elevation-change-derived-from-satellite-radar-altimeter-measurements.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14703619-15C8-74A5-DEB5-D2B46BEADECA</guid>
<g:label>AQ</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>snow</g:label>
<g:label>ice sheet</g:label>
<g:label>climate change</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AQ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>(corresponding to numbers on rectangles): 1 Rignot and Thomas 2002; 2 Ramillien and others 2006; 3 Velicogna and Wahr 2006; 4 Chen and others 2006; 5 Zwally and others 2005; 6 Wingham and others 2006; 7 Rignot and others 2007
Rignot, E. and Thomas, R. (2002). Mass balance of polar ice sheets. Science, 297(5586), 1502-1506
Ramillien, G., Lombard, A., Cazenave, A., Ivins, E., Remy, F. and Biancale, R. (2006). Interannual variations of the mass balance of the Antarctic and Greenland ice sheets from GRACE. Global and Planetary Change, 53, 198-208
Velicogna, I. and Wahr, J. (2006a). Measurements of time-variable gravity show mass loss in Antarctica. Science, 311(5768), 1754-1756
Chen, J., Wilson, C., Blankenship, D. and Tapley, B. (2006a). Antarctic mass rates from GRACE. Geophysical Research Letters, 33, L11502
Zwally, H.J., Giovinetto, M.B., Li, J., Cornejo, H.G., Beckley, M.A., Brenner, A.C., Saba, J.L. and Yi, D. (2005). Mass changes of the Greenland and Antarctic ice sheets and shelves and contributions to sea-level rise: 1992-2002. Journal of Glaciology, 51(175), 509-527
Wingham, D., Shepherd, A., Muir, A. and Marshall, G. (2006a). Mass balance of the Antarctic ice sheet. Transactions of the Royal Society of London Series A, 364, 1627-1635
Rignot, E., Arthern, R., Bamber, J., van den Broeke, M., Davis, C., Li, Y., van de Berg, W.J. and van Meijgaard, E. (2007). A net source of ocean mass from coastal thinning of Antarctic glaciers. In print</dc:source>
<geo:lat>-75</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
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<gml:upperCorner>-60 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Antarctica, topographic map</title>
<link>http://maps.grida.no/go/graphic/antarctica-topographic-map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Antarctic is the fifth largest continent of the world at 14 million square kilometres and is covered by a permanent continental ice sheet. The ice is distributed in two major ice sheets, the East Antarctic and the West Antarctic, and in addition there are shelf ice, extending over the sea water. Antarctic inland ice ranges in thickness up to 5000 m, with an average thickness of about 2400 m, making Antarctica by far the highest of the continents. Straddling the South Pole, Antarctica is cold even during summer. Much of the continent is a cold desert with very low precipitation rates. Thus, in contrast to Greenland, only a tiny proportion of the mass loss from the Antarctic Ice Sheet occurs by melting from the surface – summertime melt from the margins of the ice sheet only occurs in the northern Antarctic Peninsula and the northernmost fringes of East Antarctica. Instead, most ice loss from Antarctica is from basal melting and iceberg calving from the vast floating ice shelves. The West Antarctica Ice Sheet drains mostly into the Ross Ice Shelf, at the head of the Ross Sea; but also into the Filchner/Ronne Ice Shelf (two connected ice shelves), at the head of the Weddell Sea; and into small ice shelves along the Amundsen Sea coast. The Ross and Filchner/Ronne ice shelves are each about the area of Spain.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/antarctica-topographic-map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>214</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Antarctic is the fifth largest continent of the world at 14 million square kilometres and is covered by a permanent continental ice sheet. The ice is distributed in two major ice sheets, the East Antarctic and the West Antarctic, and in addition there are shelf ice, extending over the sea water. Antarctic inland ice ranges in thickness up to 5000 m, with an average thickness of about 2400 m, making Antarctica by far the highest of the continents. Straddling the South Pole, Antarctica is cold even during summer. Much of the continent is a cold desert with very low precipitation rates. Thus, in contrast to Greenland, only a tiny proportion of the mass loss from the Antarctic Ice Sheet occurs by melting from the surface – summertime melt from the margins of the ice sheet only occurs in the northern Antarctic Peninsula and the northernmost fringes of East Antarctica. Instead, most ice loss from Antarctica is from basal melting and iceberg calving from the vast floating ice shelves. The West Antarctica Ice Sheet drains mostly into the Ross Ice Shelf, at the head of the Ross Sea; but also into the Filchner/Ronne Ice Shelf (two connected ice shelves), at the head of the Weddell Sea; and into small ice shelves along the Amundsen Sea coast. The Ross and Filchner/Ronne ice shelves are each about the area of Spain.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/antarctica-topographic-map.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/87163699-1210-B9FA-4EC4-12B604F01358</guid>
<g:label>AQ</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>ice sheet</g:label>
<g:label>topography</g:label>
<g:label>basemap</g:label>
<g:label>topographic</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AQ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Various</dc:source>
<geo:lat>-75</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>-60 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Antarctica, topography and bathymetry (topographic map)</title>
<link>http://maps.grida.no/go/graphic/antarctica-topography-and-bathymetry-topographic-map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Antarctic is the fifth largest continent of the world at 14 million square kilometres and is covered by a permanent continental ice sheet. The ice is distributed in two major ice sheets, the East Antarctic and the West Antarctic, and in addition there are shelf ice, extending over the sea water. Antarctic inland ice ranges in thickness up to 5000 m, with an average thickness of about 2400 m, making Antarctica by far the highest of the continents. Straddling the South Pole, Antarctica is cold even during summer. Much of the continent is a cold desert with very low precipitation rates. Thus, in contrast to Greenland, only a tiny proportion of the mass loss from the Antarctic Ice Sheet occurs by melting from the surface – summertime melt from the margins of the ice sheet only occurs in the northern Antarctic Peninsula and the northernmost fringes of East Antarctica. Instead, most ice loss from Antarctica is from basal melting and iceberg calving from the vast floating ice shelves. The West Antarctica Ice Sheet drains mostly into the Ross Ice Shelf, at the head of the Ross Sea; but also into the Filchner/Ronne Ice Shelf (two connected ice shelves), at the head of the Weddell Sea; and into small ice shelves along the Amundsen Sea coast. The Ross and Filchner/Ronne ice shelves are each about the area of Spain.</description>
<pubDate>Mon, 04 Aug 2008 20:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/antarctica-topography-and-bathymetry-topographic-map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Antarctic is the fifth largest continent of the world at 14 million square kilometres and is covered by a permanent continental ice sheet. The ice is distributed in two major ice sheets, the East Antarctic and the West Antarctic, and in addition there are shelf ice, extending over the sea water. Antarctic inland ice ranges in thickness up to 5000 m, with an average thickness of about 2400 m, making Antarctica by far the highest of the continents. Straddling the South Pole, Antarctica is cold even during summer. Much of the continent is a cold desert with very low precipitation rates. Thus, in contrast to Greenland, only a tiny proportion of the mass loss from the Antarctic Ice Sheet occurs by melting from the surface – summertime melt from the margins of the ice sheet only occurs in the northern Antarctic Peninsula and the northernmost fringes of East Antarctica. Instead, most ice loss from Antarctica is from basal melting and iceberg calving from the vast floating ice shelves. The West Antarctica Ice Sheet drains mostly into the Ross Ice Shelf, at the head of the Ross Sea; but also into the Filchner/Ronne Ice Shelf (two connected ice shelves), at the head of the Weddell Sea; and into small ice shelves along the Amundsen Sea coast. The Ross and Filchner/Ronne ice shelves are each about the area of Spain.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/antarctica-topography-and-bathymetry-topographic-map.jpg</g:image_link>
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<g:label>geoarctic</g:label>
<g:label>ipy</g:label>
<g:label>polar</g:label>
<g:label>cryosphere</g:label>
<g:label>south</g:label>
<g:label>southern hemisphere</g:label>
<g:label>topography</g:label>
<g:label>bathymetry</g:label>
<g:label>basemap</g:label>
<g:label>topographic</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Patterson, T. 2006. CleanTOPO2. http://www.shadedrelief.com/cleantopo2/ (accessed July 20, 2006</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
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<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>Arable land in the Baltic Sea region</title>
<link>http://maps.grida.no/go/graphic/arable_land_in_the_baltic_sea_region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Ratio of arable land out of total land use in the Baltic Sea drainage basin. Agriculture is one of the main contributors to the nutrient (in this case, primarily nitrogen) influx into the Baltic Sea, and thus a main driver for the eutrophication problems in the sea. The displays the situation at approximately 1990.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arable_land_in_the_baltic_sea_region_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>199</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Ratio of arable land out of total land use in the Baltic Sea drainage basin. Agriculture is one of the main contributors to the nutrient (in this case, primarily nitrogen) influx into the Baltic Sea, and thus a main driver for the eutrophication problems in the sea. The displays the situation at approximately 1990.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arable_land_in_the_baltic_sea_region.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BC7F15CC-B972-A48D-AA10-BAD9C0C79358</guid>
<g:label>balticregion</g:label>
<g:label>eutrophication</g:label>
<g:label>baltic sea</g:label>
<g:label>agriculture</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>balticregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Baltic Sea Region GIS, Maps and Statistical Database (UNEP/GRID-Arendal)
</dc:source>
<geo:lat>60</geo:lat>
<geo:long>20</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>50 4</gml:lowerCorner>
<gml:upperCorner>70 36</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Aral Sea: Chances of Survival</title>
<link>http://maps.grida.no/go/graphic/aral-sea-chances-of-survival</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Aral Sea is shrinking at an alarming rate and the amount of consumption of water in the Aral Sea Basin has greatly affected current conditions. This shows predicted models of water problems in the Aral Sea. </description>
<pubDate>Tue, 14 Feb 2006 18:17:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/aral_sea_chances_of_survival_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>299</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Aral Sea is shrinking at an alarming rate and the amount of consumption of water in the Aral Sea Basin has greatly affected current conditions. This shows predicted models of water problems in the Aral Sea. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/aral_sea_chances_of_survival.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1201D0E3-A973-1396-2F8E-DD3CBC5F9F1D</guid>
<g:label>aralsea</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar. water</g:label>
<g:label>consumption</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>aralsea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Sorokin D., Sorokin A., Report on the work conducted for the application of the hydrological model towards the assessment of scenarios of the Aral Sea basin development; Ruzlev A., Prikhod’ko V., Application of the Aral Sea Basin Management Model towards specific plans of the Aral Sea basin development, UNDP and SIC ICWC, Tashkent, 2001</dc:source>
<geo:lat>45</geo:lat>
<geo:long>66.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 53</gml:lowerCorner>
<gml:upperCorner>54 80</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Aral Sea: Chances of Survival [Russian]</title>
<link>http://maps.grida.no/go/graphic/aral-sea-chances-of-survival-russian</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Aral Sea is shrinking at an alarming rate and the amount of consumption of water in the Aral Sea Basin has greatly affected current conditions. This shows predicted models of water problems in the Aral Sea. In Russian.</description>
<pubDate>Wed, 15 Feb 2006 19:51:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/aral_sea_chances_of_survival_russian_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>289</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Aral Sea is shrinking at an alarming rate and the amount of consumption of water in the Aral Sea Basin has greatly affected current conditions. This shows predicted models of water problems in the Aral Sea. In Russian.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/aral_sea_chances_of_survival_russian_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7880DD12-D1CE-1011-6D9F-14CF30EA681A</guid>
<g:label>aralsea</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar. water</g:label>
<g:label>consumption</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>aralsea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Sorokin D., Sorokin A., Report on the work conducted for the application of the hydrological model towards the assessment of scenarios of the Aral Sea basin development; Ruzlev A., Prikhod’ko V., Application of the Aral Sea Basin Management Model towards specific plans of the Aral Sea basin development, UNDP and SIC ICWC, Tashkent, 2001</dc:source>
<geo:lat>45</geo:lat>
<geo:long>66.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 53</gml:lowerCorner>
<gml:upperCorner>54 80</gml:upperCorner>
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<item>
<title>Aral Sea: trends and scenarios</title>
<link>http://maps.grida.no/go/graphic/aral_sea_trends_and_scenarios</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The demise of the Aral Sea was caused primarily by the diversion of the inflowing Amu Dar'ya and Syr Dar'ya rivers to provide irrigation water for local croplands. This graphic shows the disappearance of the Aral Sea from 1957 to 2000 and three possible scenarios showing the relationship between future demand (and thus water abstraction) and future available runoff in cubic kilometres per year. The scenarios cover the time period from 2000 to 2020. They show what may happen if water abstraction and the demand for water continue to increase, what may happen if they remain the same as they were in the year 2000, and what may happen if they decrease.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/aral_sea_trends_and_scenarios_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>192</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The demise of the Aral Sea was caused primarily by the diversion of the inflowing Amu Dar&apos;ya and Syr Dar&apos;ya rivers to provide irrigation water for local croplands. This graphic shows the disappearance of the Aral Sea from 1957 to 2000 and three possible scenarios showing the relationship between future demand (and thus water abstraction) and future available runoff in cubic kilometres per year. The scenarios cover the time period from 2000 to 2020. They show what may happen if water abstraction and the demand for water continue to increase, what may happen if they remain the same as they were in the year 2000, and what may happen if they decrease.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/aral_sea_trends_and_scenarios.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9219B4AB-E3FB-4069-8782-60706D99B8E3</guid>
<g:label>geocasia</g:label>
<g:label>water loss</g:label>
<g:label>water use</g:label>
<g:label>freshwater</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Nickolai Denisov, GRID-Arendal, Norway; Scientific Information Center of International Coordination Water Commission (SIC IWC); International Fund for Saving the Aral Sea (IFAS); The World Bank; NASA; USGS, Earthshots: Satellite images of environmental change, U.S. Department of the Interior, 2000.</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic biodiversity - pressures and impacts</title>
<link>http://maps.grida.no/go/graphic/arctic-biodiversity-pressures-and-impacts</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>The Arctic plays host to a vast array of biodiversity, including many globally significant populations. Included among these are more than half of the world´s shorebird species, 80% of the global goose populations, several million reindeer and caribou, and many unique mammals, such as the polar bear. During the short summer breeding season, 279 species of birds arrive from as far away as South Africa, Australia, New Zealand, and South America to take advantage of the long days and intense period of productivity. Several species of marine mammals, including grey and humpback whales, and harp and hooded seals, also migrate annually to the Arctic. Currently the environment in the circumpolar North represents one of the areas of the World with the least human impact. Pressures that exist and are on the increase are climate change, infrastructure development, the development of mineral resources - such as oil and gas and increased economic activity.</description>
<pubDate>Fri, 22 Oct 2010 18:22:17 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-biodiversity-pressures-and-impacts_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>204</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>The Arctic plays host to a vast array of biodiversity, including many globally significant populations. Included among these are more than half of the world´s shorebird species, 80% of the global goose populations, several million reindeer and caribou, and many unique mammals, such as the polar bear. During the short summer breeding season, 279 species of birds arrive from as far away as South Africa, Australia, New Zealand, and South America to take advantage of the long days and intense period of productivity. Several species of marine mammals, including grey and humpback whales, and harp and hooded seals, also migrate annually to the Arctic. Currently the environment in the circumpolar North represents one of the areas of the World with the least human impact. Pressures that exist and are on the increase are climate change, infrastructure development, the development of mineral resources - such as oil and gas and increased economic activity.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-biodiversity-pressures-and-impacts_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/17AF3A0B-12C5-D65B-1BF3-129C03F8DE4A</guid>
<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>pressures</g:label>
<g:label>causal chain</g:label>
<g:label>impacts</g:label>
<g:label>climate change</g:label>
<g:label>oil</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>n/a</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic char species complex, distribution map</title>
<link>http://maps.grida.no/go/graphic/arctic-char-species-complex-distribution-map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>The Arctic char species complex, sensu stricto, represent a key component of the marine and freshwater ecosystems of the north. Chars are stressed by factors such as fisheries, climate change and pollutants. We are possibly altering char biodiversity without documenting it and understanding its relevance. Concerted pan-Arctic biodiversity assessments, sustained research, and coordinated monitoring of chars are required to outline the scope of diversity present and its significance, and the mechanisms responsible for maintaining it and documenting changes. This map displays the global distribution of Arctic charr (Salvelinus alpinus) inclusive of all nominate subspecies and closely related 'species' considered to belong to this group in the narrow sense. Taxonomic forms, relationships, species diversity and ecological variation are confused and poorly known for this species complex; other char taxa overlap and extend this range (e.g., forms of Dolly Varden – S. malma). Uncertain distributional limits are indicated by dashed boundaries. Presumptive distribution boundaries of anadromous forms in marine waters are indicated in nearshore areas; anadromy is thought to be restricted to areas south of 75°N. Introduced populations in Europe are indicated in red.</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-char-species-complex-distribution-map_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>The Arctic char species complex, sensu stricto, represent a key component of the marine and freshwater ecosystems of the north. Chars are stressed by factors such as fisheries, climate change and pollutants. We are possibly altering char biodiversity without documenting it and understanding its relevance. Concerted pan-Arctic biodiversity assessments, sustained research, and coordinated monitoring of chars are required to outline the scope of diversity present and its significance, and the mechanisms responsible for maintaining it and documenting changes. This map displays the global distribution of Arctic charr (Salvelinus alpinus) inclusive of all nominate subspecies and closely related &apos;species&apos; considered to belong to this group in the narrow sense. Taxonomic forms, relationships, species diversity and ecological variation are confused and poorly known for this species complex; other char taxa overlap and extend this range (e.g., forms of Dolly Varden – S. malma). Uncertain distributional limits are indicated by dashed boundaries. Presumptive distribution boundaries of anadromous forms in marine waters are indicated in nearshore areas; anadromy is thought to be restricted to areas south of 75°N. Introduced populations in Europe are indicated in red.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-char-species-complex-distribution-map_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C1DD642A-7B25-CB5E-9C70-63C904D8F083</guid>
<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>char</g:label>
<g:label>marine issues</g:label>
<g:label>arctic char</g:label>
<g:label>freshwater issues</g:label>
<g:label>fisheries</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Reist, J., Fisheries and Oceans Canada, pers. comm. 2009.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic conservation area (CAFF), political map</title>
<link>http://maps.grida.no/go/graphic/arctic-conservation-area-caff-political-map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Conservation of Arctic Flora and Fauna is a working group under the Arctic Council, for the countries of Russia, Denmark, USA, Canada, Sweden, Iceland, Norway and Finland and indigenous peoples. Monitoring, assessment, protected areas and conservation strategies are all tasks under this working group. The area that the working group primarily addresses is presented in this map.</description>
<pubDate>Sat, 16 Sep 2006 13:32:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-conservation-area-caff-political-map_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Conservation of Arctic Flora and Fauna is a working group under the Arctic Council, for the countries of Russia, Denmark, USA, Canada, Sweden, Iceland, Norway and Finland and indigenous peoples. Monitoring, assessment, protected areas and conservation strategies are all tasks under this working group. The area that the working group primarily addresses is presented in this map.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-conservation-area-caff-political-map_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A4A690AC-EF8D-A313-62F5-E96EC4D876AE</guid>
<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>protected areas</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>CAFF</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic conservation area (CAFF), topographic map</title>
<link>http://maps.grida.no/go/graphic/arctic-conservation-area-caff-topographic-map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Conservation of Arctic Flora and Fauna is a working group under the Arctic Council, for the countries of Russia, Denmark, USA, Canada, Sweden, Iceland, Norway and Finland and indigenous peoples. Monitoring, assessment, protected areas and conservation strategies are all tasks under this working group. The area that the working group primarily addresses is presented in this map.</description>
<pubDate>Sat, 16 Sep 2006 13:32:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-conservation-area-caff-topographic-map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Conservation of Arctic Flora and Fauna is a working group under the Arctic Council, for the countries of Russia, Denmark, USA, Canada, Sweden, Iceland, Norway and Finland and indigenous peoples. Monitoring, assessment, protected areas and conservation strategies are all tasks under this working group. The area that the working group primarily addresses is presented in this map.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-conservation-area-caff-topographic-map.jpg</g:image_link>
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<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>protected areas</g:label>
<g:label>topography</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>CAFF</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic conservation area (CAFF), topographic map, ABA version (2010)</title>
<link>http://maps.grida.no/go/graphic/arctic-conservation-area-caff-topographic-map-aba-version-2010</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>The Conservation of Arctic Flora and Fauna is a working group under the Arctic Council, for the countries of Russia, Denmark, USA, Canada, Sweden, Iceland, Norway and Finland and indigenous peoples. Monitoring, assessment, protected areas and conservation strategies are all tasks under this working group. The area that the working group primarily addresses is presented in this map.</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-conservation-area-caff-topographic-map-aba-version-2010_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>The Conservation of Arctic Flora and Fauna is a working group under the Arctic Council, for the countries of Russia, Denmark, USA, Canada, Sweden, Iceland, Norway and Finland and indigenous peoples. Monitoring, assessment, protected areas and conservation strategies are all tasks under this working group. The area that the working group primarily addresses is presented in this map.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-conservation-area-caff-topographic-map-aba-version-_011.jpg</g:image_link>
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<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Various</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic delta pond ecosystems, seasonal flooding and adaptation</title>
<link>http://maps.grida.no/go/graphic/arctic-delta-pond-ecosystems-seasonal-flooding-and-adaptation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The physical development and ecosystem health of river deltas in cold regions are strongly controlled by ice processes and thus are highly susceptible to the effects of climate change. As an example, the photograph shows a typical lake/pond and river network in the Peace-Athabasca Delta (Canada), one of the largest freshwater deltas in the world. The water budget and sediment-nutrient supply for the multitude of lakes and ponds that dot the riparian zones of such deltas depend strongly on the supply of floodwaters produced by river-ice jams during the spring. These spring floods usually exceed those from open-water flow events, as illustrated in the top figure. Studies of future climate conditions for the Peace-Athabasca Delta indicate that a combination of thinner river ice and reduced spring runoff, due to smaller winter snowpack, will lead to decreased ice-jam flooding. This, combined with greater summer evaporation from warmer temperatures, will cause a decline in delta- pond water levels. An adaptation strategy that has been successfully used to counteract the effects of climatic drying of delta ponds involves the use of flow enhancement through water releases from reservoirs. This increases the probability of ice-jam formation and related flooding of the delta ponds (see bottom figure).</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-delta-pond-ecosystems-seasonal-flooding-and-adaptation_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>147</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The physical development and ecosystem health of river deltas in cold regions are strongly controlled by ice processes and thus are highly susceptible to the effects of climate change. As an example, the photograph shows a typical lake/pond and river network in the Peace-Athabasca Delta (Canada), one of the largest freshwater deltas in the world. The water budget and sediment-nutrient supply for the multitude of lakes and ponds that dot the riparian zones of such deltas depend strongly on the supply of floodwaters produced by river-ice jams during the spring. These spring floods usually exceed those from open-water flow events, as illustrated in the top figure. Studies of future climate conditions for the Peace-Athabasca Delta indicate that a combination of thinner river ice and reduced spring runoff, due to smaller winter snowpack, will lead to decreased ice-jam flooding. This, combined with greater summer evaporation from warmer temperatures, will cause a decline in delta- pond water levels. An adaptation strategy that has been successfully used to counteract the effects of climatic drying of delta ponds involves the use of flow enhancement through water releases from reservoirs. This increases the probability of ice-jam formation and related flooding of the delta ponds (see bottom figure).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-delta-pond-ecosystems-seasonal-flooding-and-adaptation.jpg</g:image_link>
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<g:label>CA</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>snow</g:label>
<g:label>adaptation</g:label>
<g:label>climate change</g:label>
<g:label>lakes</g:label>
<g:label>rivers</g:label>
<g:label>flooding</g:label>
<g:label>freshwater</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CA</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Based on Prowse, T.D., Peters, D., Beltaos, S., Pietroniro, A., Romolo, L., Töyrä, J. and Leconte, R. (2002b). Restoring ice-jam floodwater to a drying delta ecosystem. Water International, 27(1), 58-69</dc:source>
<geo:lat>62</geo:lat>
<geo:long>-96.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>41 -141</gml:lowerCorner>
<gml:upperCorner>83 -52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic development hotspots</title>
<link>http://maps.grida.no/go/graphic/arctic-development-hotspots</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Projects in developing extraction of fossil fuels, such as oil and natural gas are underway in several places in the Arctic - both on land and in the sea. The fuels are to be transported by both land and sea pipelines, as well as shipped on water. The development of these activities threaten natural habitats, in hotspots for conservation and wildlife. This map displays some of the latest hotspots with current or proposed development, together with a human impacta analysis, from the GLOBIO programme. Hotspots highlighted on this graphic are the Mackenzie Valley, Prudhoe Bay and the Kuparuk oilfeeld (Arctic National Wildlife Refuge, ANWR), Northern Norway (Barents Sea) and the Pechora oilfields and the Yamal.</description>
<pubDate>Wed, 07 Nov 2007 11:56:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-development-hotspots_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>260</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Projects in developing extraction of fossil fuels, such as oil and natural gas are underway in several places in the Arctic - both on land and in the sea. The fuels are to be transported by both land and sea pipelines, as well as shipped on water. The development of these activities threaten natural habitats, in hotspots for conservation and wildlife. This map displays some of the latest hotspots with current or proposed development, together with a human impacta analysis, from the GLOBIO programme. Hotspots highlighted on this graphic are the Mackenzie Valley, Prudhoe Bay and the Kuparuk oilfeeld (Arctic National Wildlife Refuge, ANWR), Northern Norway (Barents Sea) and the Pechora oilfields and the Yamal.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-development-hotspots_001.jpg</g:image_link>
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<g:label>geoarctic</g:label>
<g:label>oil</g:label>
<g:label>gas</g:label>
<g:label>natural resources</g:label>
<g:label>development</g:label>
<g:label>biodiversity</g:label>
<g:label>wildlife</g:label>
<g:label>human impact</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Modified from analysis published in
GEO3 Global Environment Outlook (2002)</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic development scenarios, human impact in 2050</title>
<link>http://maps.grida.no/go/graphic/arctic-development-scenarios-human-impact-in-2050</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Human activities influence the environment and reduce the value of forests, tundra and plains in terms of original biodiversity and habitat. Primarily larger mammals are hit by the fragmentation caused by roads and pipelines. The GLOBIO methdology has modeled the future impact of human activities in the Arctic, as seen in this map. Infrastructure and settlements are used as proxies for human activities, using the GLOBIO model from the Global Environment Outlook 3.</description>
<pubDate>Fri, 22 Oct 2010 18:22:33 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-development-scenarios-human-impact-in-2050_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>108</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Human activities influence the environment and reduce the value of forests, tundra and plains in terms of original biodiversity and habitat. Primarily larger mammals are hit by the fragmentation caused by roads and pipelines. The GLOBIO methdology has modeled the future impact of human activities in the Arctic, as seen in this map. Infrastructure and settlements are used as proxies for human activities, using the GLOBIO model from the Global Environment Outlook 3.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-development-scenarios-human-impact-in-_054.jpg</g:image_link>
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<g:label>geoarctic</g:label>
<g:label>human impact</g:label>
<g:label>wilderness</g:label>
<g:label>globio</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Modified from analysis published in GEO3 Global Environment Outlook (2002)</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic genetic trends - lemming in Arctic Russia</title>
<link>http://maps.grida.no/go/graphic/arctic-genetic-trends-lemming-in-arctic-russia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>Nucleotide diversity estimates based on the complete sequences of mitochondrial genome in the collared
lemming indicate how past climate has structured the genetic component of biodiversity. Lower diversity in regions
(green) affected by the northward forest expansion during the Holocene warm climatic events compared to Western
Beringia, where there was no forest expansion, suggests a reduction of effective size due to regional range contractions
during warming events in the Holocene.
</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-genetic-trends-lemming-in-arctic-russia_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>132</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>Nucleotide diversity estimates based on the complete sequences of mitochondrial genome in the collared
lemming indicate how past climate has structured the genetic component of biodiversity. Lower diversity in regions
(green) affected by the northward forest expansion during the Holocene warm climatic events compared to Western
Beringia, where there was no forest expansion, suggests a reduction of effective size due to regional range contractions
during warming events in the Holocene.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-genetic-trends-lemming-in-arctic-russia.jpg</g:image_link>
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<g:label>russiaarctice</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>lemming</g:label>
<g:label>genetic diversity</g:label>
<g:label>ice age</g:label>
<g:label>holocene</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>russiaarctice</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Fedorov, V.B. 1999. Contrasting mitochondrial DNA diversity estimates in two sympatric genera of Arctic lemmings (Dicrostonyx, Lemmus) indicate different responses to Quaternary environmental fluctuations. P. Roy. Soc. B-Biol. Sci.266: 621-626.
Fedorov, V.B., Institute of Arctic Biology, University of Alaska Fairbanks, pers. comm. 2009.
MacDonald, G.M., Velichko, A.V., Borisova, O.K., Goleva, A.A., Andreev, A.A., Cwynar, L.C., Riding, R.T., Forman, S.L., Edwards, T.W.D., Aravena, R., Hammarlund, D., Szeicz, J.M. &amp; Gattaulin, V.N. 2000. Holocene treeline history and climate change across Northern Eurasia. Quaternary Res. 53:302-311.
</dc:source>
<geo:lat>66.5</geo:lat>
<geo:long>122.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>50 65</gml:lowerCorner>
<gml:upperCorner>83 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic ice cover extent </title>
<link>http://maps.grida.no/go/graphic/arctic-ice-cover-extent</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The greatest reduction in
Arctic summer sea ice extent since satellite observations
began occurred in 2007, with the following two years
experiencing the second and third biggest reductions.
The Greenland ice sheet is currently
losing more than 250 cubic km a year – faster than can
be explained by natural melting.</description>
<pubDate>Wed, 03 Feb 2010 11:51:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-ice-cover-extent_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>280</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The greatest reduction in
Arctic summer sea ice extent since satellite observations
began occurred in 2007, with the following two years
experiencing the second and third biggest reductions.
The Greenland ice sheet is currently
losing more than 250 cubic km a year – faster than can
be explained by natural melting.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-ice-cover-extent_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/17CCF9E5-1616-CE22-90C7-F6BC3B854691</guid>
<g:label>global</g:label>
<g:label>Many</g:label>
<g:label>Strong</g:label>
<g:label>Voices</g:label>
<g:label>climate</g:label>
<g:label>change</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Based on a Hugo Alhenius map;National Snow and Ice Data Center, 2008.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic map, political</title>
<link>http://maps.grida.no/go/graphic/arctic-map-political</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Arctic is extremely diverse in terms of landscapes, varying from pack and drift ice to rugged shores, flat coastal plains, rolling hills and mountains surpassing 6000 metres above sea level (Denali, 6,194 m asl, in sub-arctic and boreal Alaska). The region has rivers and lakes, tundra and the largest forests in the world (the Russian Taiga). This is a simple grayscale political map.</description>
<pubDate>Wed, 20 Sep 2006 17:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-map-political_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>216</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Arctic is extremely diverse in terms of landscapes, varying from pack and drift ice to rugged shores, flat coastal plains, rolling hills and mountains surpassing 6000 metres above sea level (Denali, 6,194 m asl, in sub-arctic and boreal Alaska). The region has rivers and lakes, tundra and the largest forests in the world (the Russian Taiga). This is a simple grayscale political map.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-map-political.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/15475985-12E4-1095-91B3-15966297E426</guid>
<g:label>geoarctic</g:label>
<g:label>political</g:label>
<g:label>countries</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>n/a</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic Ocean</title>
<link>http://maps.grida.no/go/graphic/arctic-ocean</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Left panel: Schematic of the Arctic Ocean, central basin (Canada and Eurasian basins) and arctic continental shelves (with approximate boundaries for each Arctic Ocean coastal sea), and major rivers draining into
the region. Right panel: The three generic types of continental shelves (i.e., inflow, interior and outflow) are shown</description>
<pubDate>Tue, 27 Oct 2009 19:21:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-ocean_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>170</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Left panel: Schematic of the Arctic Ocean, central basin (Canada and Eurasian basins) and arctic continental shelves (with approximate boundaries for each Arctic Ocean coastal sea), and major rivers draining into
the region. Right panel: The three generic types of continental shelves (i.e., inflow, interior and outflow) are shown</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-ocean_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/121C364F-852F-B9D0-684A-900137949A7C</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Macdonald, R.W. Anderson, L.G., Christensen, J.P., Miller, L.A., Semiletov, I.P., and Stein, R., 2009.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic Ocean surface Temperatures</title>
<link>http://maps.grida.no/go/graphic/arctic-ocean-surface-temperatures</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Consistent with the rapid retreat of sea ice, the surface waters of the Arctic Ocean have been warming in recent years, because declining sea-ice cover allows the water to absorb more heat from the sun.</description>
<pubDate>Wed, 28 Oct 2009 12:49:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-ocean-surface-temperatures_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>157</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Consistent with the rapid retreat of sea ice, the surface waters of the Arctic Ocean have been warming in recent years, because declining sea-ice cover allows the water to absorb more heat from the sun.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-ocean-surface-temperatures.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1242BF48-FD4F-158F-5362-E8524B9FB2AB</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>AMAP, 2009.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic ozone depletion and stratospheric temperature</title>
<link>http://maps.grida.no/go/graphic/arctic-ozone-depletion-and-stratospheric-temperature</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Changes in ozone amounts closely follow temperature, with colder temperatures resulting in more polar stratospheric clouds that intensify ozone destruction. The results are compared from 1979 to 2006.</description>
<pubDate>Sat, 12 Jan 2008 20:49:12 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-ozone-depletion-and-stratospheric-temperature_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>217</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Changes in ozone amounts closely follow temperature, with colder temperatures resulting in more polar stratospheric clouds that intensify ozone destruction. The results are compared from 1979 to 2006.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-ozone-depletion-and-stratospheric-temperature.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F19D1702-5CD9-56BE-54ED-E8215A4BDDAC</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>chlorofluorocarbons</g:label>
<g:label>CFCs</g:label>
<g:label>depletion</g:label>
<g:label>ozone hole</g:label>
<g:label>temerature</g:label>
<g:label>stratosphere</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>www.theozonehole.com/climate.htm, data provided by Paul Newman, NASA GSFC.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic pelagic food web</title>
<link>http://maps.grida.no/go/graphic/arctic-pelagic-food-web</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The marine animal food chain is very complex and multilayered as are most food chains. This is a quick reference to represent the complete food chain in regards to pelagic crustaceans and invertebrates.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-pelagic-food-web_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>189</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The marine animal food chain is very complex and multilayered as are most food chains. This is a quick reference to represent the complete food chain in regards to pelagic crustaceans and invertebrates.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-pelagic-food-web_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C0CF4B43-BAA3-4045-979F-B0E874704452</guid>
<g:label>geoarctic</g:label>
<g:label>food chain</g:label>
<g:label>ocean</g:label>
<g:label>pelagic</g:label>
<g:label>marine mammals</g:label>
<g:label>fish</g:label>
<g:label>marine birds</g:label>
<g:label>marine issues</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway / SSB</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic protected areas and biomes</title>
<link>http://maps.grida.no/go/graphic/arctic-protected-areas-and-biomes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Using the Conservation of Arctic Flora and Fauna (CAFF) definition of the Arctic, the majority of the current protected area (pie cheart to the left) is in the Arctic desert biome (45%), followed by the tundra biomes (29%). When looking at the total area that is currently protected in each biome, this shows that almost a third of the desert biome is protected (right figure).</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic_protected_areas_and_biomes_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>112</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Using the Conservation of Arctic Flora and Fauna (CAFF) definition of the Arctic, the majority of the current protected area (pie cheart to the left) is in the Arctic desert biome (45%), followed by the tundra biomes (29%). When looking at the total area that is currently protected in each biome, this shows that almost a third of the desert biome is protected (right figure).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic_protected_areas_and_biomes.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5D771061-8D80-47EE-A62B-5DA872D22589</guid>
<g:label>geoarctic</g:label>
<g:label>biome</g:label>
<g:label>protected areas</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>CAFF, 2001. Arctic Flora and Fauna: Status and Conservation.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic sea ice food web - schematic illustration</title>
<link>http://maps.grida.no/go/graphic/arctic-sea-ice-food-web-schematic-illustration</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>Sea ice represents a unique ecosystem in the Arctic, providing habitat to specialized iceassociated species that include microorganisms, fish, birds, and marine mammals. Individual species use sea ice in different ways depending on their biological needs. Ice algae form the base of the food web. Some algae stay attached to the bottom of the ice, some fall into the water column, and some fall to the bottom of the sea, and so provide food for species that feed at different depths. Protists (single-celled organisms) and zooplankton eat the algae which are then eaten by, for instance, Arctic cod, Boreogadus saida and sea birds (e.g. dovekie, Alle alle), which in turn act as the major link to other fish and birds, seals, and whales. Polar bears, Ursus maritimus, prey upon seals from the ice and walrus, Odobenus rosmarus, forage on clams from drifting pack ice.
</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-sea-ice-food-web-schematic-illustration_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>153</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>Sea ice represents a unique ecosystem in the Arctic, providing habitat to specialized iceassociated species that include microorganisms, fish, birds, and marine mammals. Individual species use sea ice in different ways depending on their biological needs. Ice algae form the base of the food web. Some algae stay attached to the bottom of the ice, some fall into the water column, and some fall to the bottom of the sea, and so provide food for species that feed at different depths. Protists (single-celled organisms) and zooplankton eat the algae which are then eaten by, for instance, Arctic cod, Boreogadus saida and sea birds (e.g. dovekie, Alle alle), which in turn act as the major link to other fish and birds, seals, and whales. Polar bears, Ursus maritimus, prey upon seals from the ice and walrus, Odobenus rosmarus, forage on clams from drifting pack ice.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-sea-ice-food-web-schematic-illustration.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14DF4AD5-959A-1599-D1F7-AC01500C2DEB</guid>
<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>sea ice</g:label>
<g:label>marine issues</g:label>
<g:label>food web</g:label>
<g:label>trophic issues</g:label>
<g:label>plankton</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Gradinger, R., Hopcroft, R.R. &amp; Bluhm, B. 2004. Arctic Census of Marine Life (Arc-CoML) Program Proposal. University of Fairbanks. Fairbanks, Alaska. 35 pp.
</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic sea ice minimum extent in September 1982 and 2005</title>
<link>http://maps.grida.no/go/graphic/arctic-sea-ice-minimum-extent-in-september-1982-and-2005</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The red line indicates the median minimum extent of the ice cover for the period 1979–2000. This figure compares the Arctic sea-ice extent in September for the years 1982 (the record maximum since 1979) and 2005 (the record minimum). The ice extent was 7.5 million km2 in 1982 and only 5.6 million km2 in 2005, a difference of 25 per cent. As has been observed in other recent years, the retreat of the ice cover was particularly pronounced along the Eurasian coast. Indeed, the retreat was so pronounced that at the end of the summer of 2005 the Northern Sea Route across the top of Eurasia was completely ice-free. Please note that this has been updated with 2007 extent: http://maps.grida.no/go/graphic/arctic-sea-ice-minimum-extent-in-september-1982-2005-and-2007</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-sea-ice-minimum-extent-in-september-1982-and-2005_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>99</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The red line indicates the median minimum extent of the ice cover for the period 1979–2000. This figure compares the Arctic sea-ice extent in September for the years 1982 (the record maximum since 1979) and 2005 (the record minimum). The ice extent was 7.5 million km2 in 1982 and only 5.6 million km2 in 2005, a difference of 25 per cent. As has been observed in other recent years, the retreat of the ice cover was particularly pronounced along the Eurasian coast. Indeed, the retreat was so pronounced that at the end of the summer of 2005 the Northern Sea Route across the top of Eurasia was completely ice-free. Please note that this has been updated with 2007 extent: http://maps.grida.no/go/graphic/arctic-sea-ice-minimum-extent-in-september-1982-2005-and-2007</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-sea-ice-minimum-extent-in-september-1982-and-2005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9B14AE63-B3C3-D27A-A2E1-53445C81086E</guid>
<g:label>geoarctic</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>sea-ice</g:label>
<g:label>climate change</g:label>
<g:label>climatology</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Data courtesy of National Snow and Ice Data Center (NSIDC)</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic sea ice minimum extent in September 1982 and 2008</title>
<link>http://maps.grida.no/go/graphic/arctic-sea-ice-minimum-extent-in-september-1982-and-2008</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The red line indicates the median minimum extent of the ice cover for the period 1979–2000. This figure compares the Arctic sea ice extent in September for the years 1982 (the record maximum since 1979) and 2008. The ice extent was 7.5 million km2 in 1982 and only 5.6 million km2 in 2005 and down to 4.3 million km2 in 2007. As has been observed in other recent years, the retreat of the ice cover was particularly pronounced along the Eurasian coast. Indeed, the retreat was so pronounced that at the end of the summers of 2005 and 2007 the Northern Sea Route across the top of Eurasia was completely ice-free. Please note that this figure was not originally published in Global Outlook for Ice and Snow, but is updated from a figure in that publication.</description>
<pubDate>Mon, 22 Oct 2007 14:47:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-sea-ice-minimum-extent-in-september-1982-and-2008_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>115</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The red line indicates the median minimum extent of the ice cover for the period 1979–2000. This figure compares the Arctic sea ice extent in September for the years 1982 (the record maximum since 1979) and 2008. The ice extent was 7.5 million km2 in 1982 and only 5.6 million km2 in 2005 and down to 4.3 million km2 in 2007. As has been observed in other recent years, the retreat of the ice cover was particularly pronounced along the Eurasian coast. Indeed, the retreat was so pronounced that at the end of the summers of 2005 and 2007 the Northern Sea Route across the top of Eurasia was completely ice-free. Please note that this figure was not originally published in Global Outlook for Ice and Snow, but is updated from a figure in that publication.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-sea-ice-minimum-extent-in-september-1982-and-_009.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/104E93E4-F797-6D5B-6B8F-7A464AEDA694</guid>
<g:label>geoarctic</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>snow</g:label>
<g:label>climate change</g:label>
<g:label>sea ice</g:label>
<g:label>pack ice</g:label>
<g:label>polar ice</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Fetterer, F., and K. Knowles. 2002, updated 2004. Sea ice index. Boulder, CO: National Snow and Ice Data Center. Digital media. ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/ (Accessed November 27 2008)</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic sea routes - Northern sea route and Northwest passage</title>
<link>http://maps.grida.no/go/graphic/arctic-sea-routes-northern-sea-route-and-northwest-passage</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Sea routes along the edges of the Arctic ocean, or rather along the coasts of Northern Canada and Russia, holds potential for decreasing the number of days in shipping goods from the Pacific to Atlantic coasts in Europe and North America, and vice versa. In addition, this could provide a means to transport natural resources, such as oil and gas, extracted in the Arctic. Currently these routes have not been possible to use this, due to the ice conditions, but with decreases in ice - due to climate change - this could provide a new possibility. In addition, this would mean increased risk for the sensitive wilderness areas along these coasts, with oil spills and pollution. Please note that Northern Sea Route was previously known as Northeast passage.</description>
<pubDate>Mon, 05 Feb 2007 11:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic_sea_routes_northern_sea_route_and_northwest_passage_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Sea routes along the edges of the Arctic ocean, or rather along the coasts of Northern Canada and Russia, holds potential for decreasing the number of days in shipping goods from the Pacific to Atlantic coasts in Europe and North America, and vice versa. In addition, this could provide a means to transport natural resources, such as oil and gas, extracted in the Arctic. Currently these routes have not been possible to use this, due to the ice conditions, but with decreases in ice - due to climate change - this could provide a new possibility. In addition, this would mean increased risk for the sensitive wilderness areas along these coasts, with oil spills and pollution. Please note that Northern Sea Route was previously known as Northeast passage.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic_sea_routes_northern_sea_route_and_northwest_passage_003.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F951C743-FB18-12A3-0C34-DCB6809E2143</guid>
<g:label>geoarctic</g:label>
<g:label>arctic</g:label>
<g:label>shipping</g:label>
<g:label>marine issues</g:label>
<g:label>climate change</g:label>
<g:label>transport</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>n/A</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic Soil Organic Carbon Content</title>
<link>http://maps.grida.no/go/graphic/arctic-soil-organic-carbon-content</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>A new assessment has estimated that there are 1,650 gigatonnes of carbon stored in the northern circumpolar permafrost region4, more than twice the amount of carbon in the atmosphere.</description>
<pubDate>Tue, 27 Oct 2009 19:32:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-soil-organic-carbon-content_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>274</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>A new assessment has estimated that there are 1,650 gigatonnes of carbon stored in the northern circumpolar permafrost region4, more than twice the amount of carbon in the atmosphere.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-soil-organic-carbon-content_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7D734941-DAB8-6ED5-EC4A-F3CAD4665DC4</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic summer snow cover extent 1968-2008</title>
<link>http://maps.grida.no/go/graphic/arctic-summer-snow-cover-extent-1968-2008</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>The average snow cover extent during June, July and August across the Arctic (north of the polar circle) section
of Eurasia and North America has decreased by 22,000 km2/year during 1968–2008.
</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-summer-snow-cover-extent-1968-2008_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>238</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>The average snow cover extent during June, July and August across the Arctic (north of the polar circle) section
of Eurasia and North America has decreased by 22,000 km2/year during 1968–2008.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-summer-snow-cover-extent-1968-_009.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/AAAD5454-127A-EAAF-D679-9D3B320306DE</guid>
<g:label>nhemi</g:label>
<g:label>precipitation</g:label>
<g:label>snow</g:label>
<g:label>cryosphere</g:label>
<g:label>climate change</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>nhemi</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Global Snow Lab, Rutgers University, New Jersey</dc:source>
<geo:lat>45</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>0 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic temperature anomaly patterns</title>
<link>http://maps.grida.no/go/graphic/arctic-temperature-anomaly-patterns</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Natural climate variability is organized into spatial patterns
of high and low pressure regions, represented by
the Arctic Oscillation (also called the Northern Annular
Mode) and North Pacific patterns in the Northern Hemisphere,
and the Southern Annular Mode in the Southern
Hemisphere. The patterns of surface temperature
anomalies when the Arctic Oscillation and Northern
Pacific patterns are in their positive extreme are shown
in this figure - as anomalies averaged over periods with different types of dominating pattern of natural variability. When either of the patterns is in its positive
extreme, the pattern contributes to an overall Arctic
warm period. In recent years (2000–2005), however, the
pattern of warm temperature anomalies is circumpolar
in distribution and different from either of the two
major 20th century climate patterns.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-temperature-anomaly-patterns_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>99</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Natural climate variability is organized into spatial patterns
of high and low pressure regions, represented by
the Arctic Oscillation (also called the Northern Annular
Mode) and North Pacific patterns in the Northern Hemisphere,
and the Southern Annular Mode in the Southern
Hemisphere. The patterns of surface temperature
anomalies when the Arctic Oscillation and Northern
Pacific patterns are in their positive extreme are shown
in this figure - as anomalies averaged over periods with different types of dominating pattern of natural variability. When either of the patterns is in its positive
extreme, the pattern contributes to an overall Arctic
warm period. In recent years (2000–2005), however, the
pattern of warm temperature anomalies is circumpolar
in distribution and different from either of the two
major 20th century climate patterns.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-temperature-anomaly-patterns.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A44FA75C-6951-120E-023D-153C57EEEC57</guid>
<g:label>geoarctic</g:label>
<g:label>temperature</g:label>
<g:label>climate</g:label>
<g:label>climatology</g:label>
<g:label>patterns</g:label>
<g:label>climate change</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>J.E. Overland, data from NOAA/ESRL (2007). Climate composites. NOAA/ESRL Physical Sciences Division, Boulder, CO. http://www.cdc.noaa.gov/cgi-bin/Composites/ printpage.pl [Accessed 6 April 2007]</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic temperatures in the 20th century, modeled and observed</title>
<link>http://maps.grida.no/go/graphic/arctic-temperatures-in-the-20th-century-modeled-and-observed</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Observed Arctic winter land temperatures and IPCC model recreations for the 20th century. Note that although these model runs are able to capture the range of Arctic warm and cold periods, the timing of the peaks varies, suggesting that the early 20th century warming was due to random causes, while the increases at the end of the century shown by all the models supports CO2 as an external forcing of the Arctic climate system.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-temperatures-in-the-20th-century-modeled-and-observed_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>160</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Observed Arctic winter land temperatures and IPCC model recreations for the 20th century. Note that although these model runs are able to capture the range of Arctic warm and cold periods, the timing of the peaks varies, suggesting that the early 20th century warming was due to random causes, while the increases at the end of the century shown by all the models supports CO2 as an external forcing of the Arctic climate system.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-temperatures-in-the-20th-century-modeled-and-observed.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7E58EBA2-E08C-CAAF-6366-F6994D7DEB78</guid>
<g:label>geoarctic</g:label>
<g:label>temperature</g:label>
<g:label>ice</g:label>
<g:label>snow</g:label>
<g:label>climate</g:label>
<g:label>climatology</g:label>
<g:label>model</g:label>
<g:label>projection</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Wang, M., Overland, J.E., Kattsov, V., Walsh, J.E., Zhang, X. and Pavlova, T. (2007). Intrinsic versus forced variation in coupled climate model simulations over the Arctic during the 20th century. J. Climate, 20(6), 1093-1107
</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic terrestrial species trends 1970-2005 (ASTI)</title>
<link>http://maps.grida.no/go/graphic/arctic-terrestrial-species-trends-1970-2005-asti</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>Dramatic changes, such as sea ice loss, are projected to occur in Arctic ecosystems over the next century. Understanding how the Arctic’s living resources, including its vertebrate species, are responding to these changes is essential in order to develop effective conservation and adaptation strategies. Arctic species that are adapted to these extreme environments are expected to be displaced, in part, by the encroachment of more southerly species and ecosystems. A total of 965 populations of 306 species (representing 35% of all known Arctic vertebrate species) were used to generate the Arctic Species Trend Index (ASTI). Presented in this figure is the terrestrial component of the ASTI. The moderate decline in the terrestrial index (–10%) is largely a reflection of declines (–28%) in terrestrial high Arctic populations (mostly herbivores, such as caribou, Rangifer tarandus, lemmings, and the High Arctic brent goose, Branta bernicla). Terrestrial low Arctic population increases (+7%) are driven, in part, by dramatically increasing goose populations, but may also reflect an ecological response to climatic changes whereby species with more southerly distributions are responding favorably to these climatic changes. This northward movement of southern species (e.g., red fox, Vulpes vulpes) coupled with increasing incidence of severe weather events in the high Arctic and changing tundra vegetation may explain, in part, the declines in terrestrial high Arctic populations and the possible negative impact on herbivorous species. This figure presents the index of terrestrial species disaggregated by Arctic boundary for the period 1970–2004 (high Arctic, n=25 species, 73 populations; low Arctic, n=66 species, 166 populations; sub-Arctic, n=102 species, 204 populations).</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-terrestrial-species-trends-1970-2005-asti_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>132</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>Dramatic changes, such as sea ice loss, are projected to occur in Arctic ecosystems over the next century. Understanding how the Arctic’s living resources, including its vertebrate species, are responding to these changes is essential in order to develop effective conservation and adaptation strategies. Arctic species that are adapted to these extreme environments are expected to be displaced, in part, by the encroachment of more southerly species and ecosystems. A total of 965 populations of 306 species (representing 35% of all known Arctic vertebrate species) were used to generate the Arctic Species Trend Index (ASTI). Presented in this figure is the terrestrial component of the ASTI. The moderate decline in the terrestrial index (–10%) is largely a reflection of declines (–28%) in terrestrial high Arctic populations (mostly herbivores, such as caribou, Rangifer tarandus, lemmings, and the High Arctic brent goose, Branta bernicla). Terrestrial low Arctic population increases (+7%) are driven, in part, by dramatically increasing goose populations, but may also reflect an ecological response to climatic changes whereby species with more southerly distributions are responding favorably to these climatic changes. This northward movement of southern species (e.g., red fox, Vulpes vulpes) coupled with increasing incidence of severe weather events in the high Arctic and changing tundra vegetation may explain, in part, the declines in terrestrial high Arctic populations and the possible negative impact on herbivorous species. This figure presents the index of terrestrial species disaggregated by Arctic boundary for the period 1970–2004 (high Arctic, n=25 species, 73 populations; low Arctic, n=66 species, 166 populations; sub-Arctic, n=102 species, 204 populations).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-terrestrial-species-trends-1970-2005-asti.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11EDC5A7-17B6-6B9E-5F7D-1046FC337C0F</guid>
<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>index</g:label>
<g:label>trends</g:label>
<g:label>terrestrial species</g:label>
<g:label>high arctic</g:label>
<g:label>low arctic</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>CAFF. 2010. Arctic Biodiversity Assessment.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic transportation routes - roads, shipping and pipelines</title>
<link>http://maps.grida.no/go/graphic/arctic-transportation-routes-roads-shipping-and-pipelines</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Land infrastructure represents a fragmentation of the natural ecosystems, splitting up expanses of tundra and taiga - and creates a disturbance in the form of traffic. In addition, it promotes development of side roads, houses and facilities. Shipping doesn't present a threat in the same way, but there are risks related to goods that could present a hazard for the environment, such as oil.</description>
<pubDate>Wed, 15 Aug 2007 12:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-transportation-routes-roads-shipping-and-pipelines_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>242</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Land infrastructure represents a fragmentation of the natural ecosystems, splitting up expanses of tundra and taiga - and creates a disturbance in the form of traffic. In addition, it promotes development of side roads, houses and facilities. Shipping doesn&apos;t present a threat in the same way, but there are risks related to goods that could present a hazard for the environment, such as oil.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-transportation-routes-roads-shipping-and-pipelines.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C0EED962-141A-1319-21D2-138D566798D2</guid>
<g:label>geoarctic</g:label>
<g:label>infrastructure</g:label>
<g:label>development</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Various</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic vegetation zones</title>
<link>http://maps.grida.no/go/graphic/arctic_vegetation_zones</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Distribution of major vegetation zones and level of protection in the Arctic is shown based on the percentage of area covered. This is part of a report by the Conservation of Arctic Flora and Fauna (CAFF).</description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_arctic_vegetation_zones.png</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>161</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Distribution of major vegetation zones and level of protection in the Arctic is shown based on the percentage of area covered. This is part of a report by the Conservation of Arctic Flora and Fauna (CAFF).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_arctic_vegetation_zones.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B1D35792-C718-4C60-9D02-7C06CB394006</guid>
<g:label>geoarctic</g:label>
<g:label>Protected areas</g:label>
<g:label>Forests</g:label>
<g:label>vegetation</g:label>
<g:label>Conservation of Arctic Flora and Fauna</g:label>
<g:label>CAFF</g:label>
<g:label>Arctic</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Source data supplied by CAFF member countries</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic, AMAP and CAFF area</title>
<link>http://maps.grida.no/go/graphic/arctic-amap-and-caff-area</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Identifying and defining the Arctic is not necessarily obvious, as this map illustrates. The Arctic Council working groups on conservation and pollution operate with slightly different definitions due to both practical and political reasons.</description>
<pubDate>Mon, 20 Mar 2006 11:41:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-amap-and-caff-area_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>217</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Identifying and defining the Arctic is not necessarily obvious, as this map illustrates. The Arctic Council working groups on conservation and pollution operate with slightly different definitions due to both practical and political reasons.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-amap-and-caff-area.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C1D76E6A-1444-10A6-40E0-11CA0E11E871</guid>
<g:label>geoarctic</g:label>
<g:label>arctic</g:label>
<g:label>arctic council</g:label>
<g:label>amap</g:label>
<g:label>caff</g:label>
<g:label>definition</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>AMAP,CAFF</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic, topography and bathymetry</title>
<link>http://maps.grida.no/go/graphic/arctic-topography-and-bathymetry</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Arctic is extremely diverse in terms of landscapes, varying from pack and drift ice to rugged shores, flat coastal plains, rolling hills and mountains surpassing 6000 metres above sea level (Denali, 6,194 m asl, in sub-arctic and boreal Alaska). The region has rivers and lakes, tundra and the largest forests in the world (the Russian Taiga).</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-topography-and-bathymetry_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>186</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Arctic is extremely diverse in terms of landscapes, varying from pack and drift ice to rugged shores, flat coastal plains, rolling hills and mountains surpassing 6000 metres above sea level (Denali, 6,194 m asl, in sub-arctic and boreal Alaska). The region has rivers and lakes, tundra and the largest forests in the world (the Russian Taiga).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-topography-and-bathymetry.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9BC916EA-1062-4BF1-871D-64E8E53AFD5D</guid>
<g:label>geoarctic</g:label>
<g:label>topography</g:label>
<g:label>bathymetry</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Digital chart of the world; Institut Géographique National français (IGN). AMAP, 1997. Arctic Pollution Issues: A State of the Arctic Environment Report.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic, topography and bathymetry</title>
<link>http://maps.grida.no/go/graphic/arctic-topography-and-bathymetry2</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>(See http://maps.grida.no/go/graphic/arctic-topography-and-bathymetry1 for an updated version of this map) The Arctic is extremely diverse in terms of landscapes, varying from pack and drift ice to rugged shores, flat coastal plains, rolling hills and mountains surpassing 6000 metres above sea level (Denali, 6,194 m asl, in sub-arctic and boreal Alaska). The region has rivers and lakes, tundra and the largest forests in the world (the Russian Taiga).</description>
<pubDate>Mon, 18 Dec 2006 12:03:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-topography-and-bathymetry_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>199</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>(See http://maps.grida.no/go/graphic/arctic-topography-and-bathymetry1 for an updated version of this map) The Arctic is extremely diverse in terms of landscapes, varying from pack and drift ice to rugged shores, flat coastal plains, rolling hills and mountains surpassing 6000 metres above sea level (Denali, 6,194 m asl, in sub-arctic and boreal Alaska). The region has rivers and lakes, tundra and the largest forests in the world (the Russian Taiga).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-topography-and-bathymetry_001.jpg</g:image_link>
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<g:label>geoarctic</g:label>
<g:label>topography</g:label>
<g:label>bathymetry</g:label>
<g:label>basemap</g:label>
<g:label>topographic</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Ahlenius, H. 2005. Vital Arctic Graphics, figure 2: Topography and bathymetry of the Arctic. Arendal, Norway: UNEP/GRID-Arendal
ESRI Inc. 1993. Digital Chart of the World. Redlands, USA: ESRI.
ESRI Inc. 2000. ESRI Data &amp; Maps. Redlands, USA: ESRI.
NGA. 2000. VMAP 0, Version 5. http://geoengine.nga.mil/ geospatial/SW_TOOLS/NIMAMUSE/webinter/rast_roam.html (accessed July 14, 2006)
Patterson, T. 2006. CleanTOPO2. http://www.shadedrelief.com/cleantopo2/ (accessed July 20, 2006)</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic, topography and bathymetry (topographic map)</title>
<link>http://maps.grida.no/go/graphic/arctic-topography-and-bathymetry-topographic-map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Arctic is extremely diverse in terms of landscapes, varying from pack and drift ice to rugged shores, flat coastal plains, rolling hills and mountains surpassing 6000 metres above sea level (Denali, 6,194 m asl, in sub-arctic and boreal Alaska). The region has rivers and lakes, tundra and the largest forests in the world (the Russian Taiga).</description>
<pubDate>Sun, 03 Aug 2008 16:44:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-topography-and-bathymetry-topographic-map_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Arctic is extremely diverse in terms of landscapes, varying from pack and drift ice to rugged shores, flat coastal plains, rolling hills and mountains surpassing 6000 metres above sea level (Denali, 6,194 m asl, in sub-arctic and boreal Alaska). The region has rivers and lakes, tundra and the largest forests in the world (the Russian Taiga).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-topography-and-bathymetry-topographic-map_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D0036046-885B-FED9-727F-164AF5B3CEA0</guid>
<g:label>geoarctic</g:label>
<g:label>ipy</g:label>
<g:label>polar</g:label>
<g:label>cryosphere</g:label>
<g:label>north</g:label>
<g:label>northern hemisphere</g:label>
<g:label>topography</g:label>
<g:label>bathymetry</g:label>
<g:label>basemap</g:label>
<g:label>topographic</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Ahlenius, H. 2005. Vital Arctic Graphics, figure 2: Topography and bathymetry of the Arctic. Arendal, Norway: UNEP/GRID-Arendal
ESRI Inc. 1993. Digital Chart of the World. Redlands, USA: ESRI.
ESRI Inc. 2000. ESRI Data &amp; Maps. Redlands, USA: ESRI.
NGA. 2000. VMAP 0, Version 5. http://geoengine.nga.mil/ geospatial/SW_TOOLS/NIMAMUSE/webinter/rast_roam.html (accessed July 14, 2006)
Patterson, T. 2006. CleanTOPO2. http://www.shadedrelief.com/cleantopo2/ (accessed July 20, 2006)</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Arctic, topography and bathymetry (topographic map)</title>
<link>http://maps.grida.no/go/graphic/arctic-topography-and-bathymetry-topographic-map1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Arctic represents the northermost area of the World, the Arctic Ocean and the land areas that surrounds it. The region is characterized but cold temperatures, and ice and snow. The summers are short, but with long periods of daylight (midnight sun). The winters are long and cold and with periods with no sun (polar night). The Arctic Ocean is one basin that is mostly covered by sea ice, and is connected to the Pacific and Atlantic Oceans. The countries in this region are Russia, Finland, Sweden, Norway, Iceland, Greenland (Denmark), Canada and Alaska (USA).</description>
<pubDate>Fri, 22 Oct 2010 18:24:10 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/arctic-topography-and-bathymetry-topographic-map_thumbnail_006.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Arctic represents the northermost area of the World, the Arctic Ocean and the land areas that surrounds it. The region is characterized but cold temperatures, and ice and snow. The summers are short, but with long periods of daylight (midnight sun). The winters are long and cold and with periods with no sun (polar night). The Arctic Ocean is one basin that is mostly covered by sea ice, and is connected to the Pacific and Atlantic Oceans. The countries in this region are Russia, Finland, Sweden, Norway, Iceland, Greenland (Denmark), Canada and Alaska (USA).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/arctic-topography-and-bathymetry-topographic-map_006.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9EACB4CE-1419-8EEE-8839-1297688EA990</guid>
<g:label>geoarctic</g:label>
<g:label>arctic</g:label>
<g:label>topography</g:label>
<g:label>basemap</g:label>
<g:label>topographic</g:label>
<g:label>orientation</g:label>
<g:label>reference</g:label>
<g:label>bathmetry</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ESRI Inc. 1993. Digital Chart of the World. Redlands, USA: ESRI. ESRI Inc. 2000. ESRI Data &amp; Maps. Redlands, USA: ESRI. NGA. 2000. VMAP 0, Version 5. http://geoengine.nga.mil/ geospatial/SW_TOOLS/NIMAMUSE/webinter/rast_roam.html (accessed July 14, 2006) Patterson, T. 2006. CleanTOPO2. http://www.shadedrelief.com/cleantopo2/ (accessed July 20, 2006) </dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Area of Biomes Protected</title>
<link>http://maps.grida.no/go/graphic/area-of-biomes-protected</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Rising temperatures force many
living organisms to migrate to cooler
areas, while new organisms arrive.
Such movements involve all species,
including plants. Some species
will seek higher altitudes, others will
move further polewards. In temperate
regions, plant and tree species can
migrate naturally by 25 to 40 kilometres
a century. However if, for example,
there was a 3°C increase in temperature
over a hundred year period in a particular
region, the conditions in that
area would undergo dramatic change,
equivalent in ecological terms to a shift
of several hundred kilometres (Jouzel
and Debroise 2007).</description>
<pubDate>Thu, 08 Oct 2009 22:24:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/area-of-biomes-protected_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>107</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Rising temperatures force many
living organisms to migrate to cooler
areas, while new organisms arrive.
Such movements involve all species,
including plants. Some species
will seek higher altitudes, others will
move further polewards. In temperate
regions, plant and tree species can
migrate naturally by 25 to 40 kilometres
a century. However if, for example,
there was a 3°C increase in temperature
over a hundred year period in a particular
region, the conditions in that
area would undergo dramatic change,
equivalent in ecological terms to a shift
of several hundred kilometres (Jouzel
and Debroise 2007).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/area-of-biomes-protected_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E681846C-792E-1273-A05C-7059445FD1E0</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Schmitt 2008</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Area of outer continental shelf submitted per continent</title>
<link>http://maps.grida.no/go/graphic/area-of-outer-continental-shelf-submitted-per-continent</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data.</description>
<pubDate>Wed, 03 Feb 2010 15:25:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/area-of-outer-continental-shelf-submitted-per-continent_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>126</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/area-of-outer-continental-shelf-submitted-per-continent.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5F6D90DF-1464-BB7F-9900-A45023C76593</guid>
<g:label>global</g:label>
<g:label>unep</g:label>
<g:label>continental</g:label>
<g:label>shelf</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Schoolmester, T., Continental shelf. The last marittime zone, Grid-Arendal, 2009</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Area with near-surface permafrost (North of 45°N)</title>
<link>http://maps.grida.no/go/graphic/area-with-near-surface-permafrost-north-of-45-n</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Laura Margueritte </mapsgrida:designer>
<description> Simulated	a) permafrost area and active layer thickness (a) 1980- 1999 and (b) 2080-2099.
(c) Observational estimates of permafrost (continuous, discontinuous, sporadic, and isolated). (d) Time series of simulated global permafrost area (excluding glacial Greenland and Antarctica).</description>
<pubDate>Wed, 28 Oct 2009 13:52:57 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/area-with-near-surface-permafrost-north-of-45-n_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>210</mapsgrida:thumbnailHeight>
<g:author>Laura Margueritte </g:author>
<mapsgrida:descriptionnonhtml> Simulated	a) permafrost area and active layer thickness (a) 1980- 1999 and (b) 2080-2099.
(c) Observational estimates of permafrost (continuous, discontinuous, sporadic, and isolated). (d) Time series of simulated global permafrost area (excluding glacial Greenland and Antarctica).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/area-with-near-surface-permafrost-north-of-45-n_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7E36B743-1220-C7CC-D064-997BF4C19955</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Laura Margueritte </dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Lawrence DM, Slater AG, Romanovsky VE, Nicolsky DJ 2008a.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Areas affected by deforestation</title>
<link>http://maps.grida.no/go/graphic/areas-affected-by-deforestation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Deforestation is a key global environmental indicator. Many regions of the world are affected by deforestation: namely in South America (Brazil), Central Africa (Congo), Southeast Asia (Indonesia) and Eastern Europe.</description>
<pubDate>Sat, 09 Feb 2008 23:42:54 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/areas-affected-by-deforestation_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>295</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Deforestation is a key global environmental indicator. Many regions of the world are affected by deforestation: namely in South America (Brazil), Central Africa (Congo), Southeast Asia (Indonesia) and Eastern Europe.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/areas-affected-by-deforestation.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7D9B46D9-708E-7A95-9118-15563AA7F9A6</guid>
<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>poverty</g:label>
<g:label>forest</g:label>
<g:label>forestry</g:label>
<g:label>deforestation</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Atlas of Desertification, UNEP, International Soil
Reference and Information Centre (ISRIC), 1997</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Areas of physical and economic water scarcity</title>
<link>http://maps.grida.no/go/graphic/areas-of-physical-and-economic-water-scarcity</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Unknown</mapsgrida:designer>
<description>Under current water use practices, increases in population and changes in diet are projected to increase water consumption in food and fiber production by 70-90%. If demands for biomass energy increase, this may aggravate the problem. In addition, sectoral competition for water resources will intensify, further exacerbating the stress on developing country producers.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/areas-of-physical-and-economic-water-scarcity_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>217</mapsgrida:thumbnailHeight>
<g:author>Unknown</g:author>
<mapsgrida:descriptionnonhtml>Under current water use practices, increases in population and changes in diet are projected to increase water consumption in food and fiber production by 70-90%. If demands for biomass energy increase, this may aggravate the problem. In addition, sectoral competition for water resources will intensify, further exacerbating the stress on developing country producers.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/areas-of-physical-and-economic-water-scarcity.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1570F555-100A-D309-2B71-CE48F1AC7B04</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>water</g:label>
<g:label>water scarcity</g:label>
<g:label>water usage</g:label>
<dc:contributor>Unknown</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IWMI, 2007</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Areas that qualify for protection under Indonesian law</title>
<link>http://maps.grida.no/go/graphic/areas-that-qualify-for-protection-under-indonesian-law</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Under Indonesian law, areas that qualify for protection are based on slope (&gt;40%), sensitive soil types, elevation (above 2000m), and peat land (&gt;3m), thereby preventing any man-made development within most of the Sumatran orangutan’s habitat. Certain sensitive soil types, including deep peat, buffer zones along river banks and around other water sources, and the upper reaches of water catchment areas.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/areas-that-qualify-for-protection-under-indonesian-law_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>251</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Under Indonesian law, areas that qualify for protection are based on slope (&gt;40%), sensitive soil types, elevation (above 2000m), and peat land (&gt;3m), thereby preventing any man-made development within most of the Sumatran orangutan’s habitat. Certain sensitive soil types, including deep peat, buffer zones along river banks and around other water sources, and the upper reaches of water catchment areas.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/areas-that-qualify-for-protection-under-indonesian-law_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/90EE3833-A4EC-1284-1AF1-AA7B227078CC</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Bathymetry from the ETOPO1 Global Relief Model downloaded from: http://www.ngdc.noaa.gov/mgg/global/global.html
Sumatran orangutan distribution shapefile prepared by Singleton and Wich and based on Wich et al. 2008 with unpublished data added.
Slope classes and elevations above 2000m generated from SRTM 90m DEM (available from the CGIAR website: http://srtm.csi.cgiar.org/); sensitive soil types on slopes of above 15% determined from 1:250,000 land unit soil map series published by the Pusat Penilitian Tanah dan Agroklimat, Bogor, 1990. Peat depth larger than 3 m adapted from Wetland International Indonesia.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Aridity Zones</title>
<link>http://maps.grida.no/go/graphic/aridity_zones</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Delphine Digout, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Forty percent of Africa's population lives in arid, semi-arid, and dry subhumid areas. Climate change may lead to an increase in arid zones that are susceptible to drought. This graphic shows the locations of humid, moist subhumid, dry subhumid, semi-arid, arid and hyper-arid areas in Africa.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/vitalafrica_25-aridity_tn.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>160</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Delphine Digout, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Forty percent of Africa&apos;s population lives in arid, semi-arid, and dry subhumid areas. Climate change may lead to an increase in arid zones that are susceptible to drought. This graphic shows the locations of humid, moist subhumid, dry subhumid, semi-arid, arid and hyper-arid areas in Africa.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_aridity_zones_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A6D385AE-6796-4CB1-99F7-385287A6F5B4</guid>
<g:label>geoafrica</g:label>
<g:label>climate change</g:label>
<g:label>humid zone</g:label>
<dc:contributor>Delphine Digout, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Meteorological Organization (WMO), UNEP, Climate Change 2001: Impacts, Adaptation and Vulnerability, Contribution of Working Group II to the Third Assessment Report (TAR) of the Intergovernmental Panel on Climate Change (IPCC).</dc:source>
<geo:lat>-0.5</geo:lat>
<geo:long>14.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-41 -33</gml:lowerCorner>
<gml:upperCorner>40 62</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Armenia, topographic map</title>
<link>http://maps.grida.no/go/graphic/armenia_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Armenia is located in Southwestern Asia, east of Turkey, comprising of 29,800 sq km. It has a population of 2,982,904 (2005). Major environmental concerns are: soil pollution from toxic chemicals such as DDT; the energy crisis of the 1990s led to deforestation when citizens scavenged for firewood; pollution of Hrazdan (Razdan) and Aras Rivers; the draining of Sevana Lich (Lake Sevan), a result of its use as a source for hydropower, threatens drinking water supplies; restart of Metsamor nuclear power plant in spite of its location in a seismically active zone.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/armenia_topographic_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>195</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Armenia is located in Southwestern Asia, east of Turkey, comprising of 29,800 sq km. It has a population of 2,982,904 (2005). Major environmental concerns are: soil pollution from toxic chemicals such as DDT; the energy crisis of the 1990s led to deforestation when citizens scavenged for firewood; pollution of Hrazdan (Razdan) and Aras Rivers; the draining of Sevana Lich (Lake Sevan), a result of its use as a source for hydropower, threatens drinking water supplies; restart of Metsamor nuclear power plant in spite of its location in a seismically active zone.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/armenia_topographic_map.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/63A48FB8-52C2-41F1-920B-837C47B97657</guid>
<g:label>AM</g:label>
<g:label>armenia</g:label>
<g:label>soviet union</g:label>
<g:label>topography</g:label>
<g:label>southwest asia</g:label>
<g:label>Lake Sevan</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AM</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Times Atlas of the World</dc:source>
<geo:lat>39.5</geo:lat>
<geo:long>44.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>38 43</gml:lowerCorner>
<gml:upperCorner>41 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Atmospheric Circulation Patterns</title>
<link>http://maps.grida.no/go/graphic/atmospheric-circulation-patterns1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Giulio Frigieri</mapsgrida:designer>
<description>Carbon cycling in the world’s oceans. The flow of carbon dioxide across the air-sea interface is a function of CO2 solubility in sea water (Solubility Pump). The amount of CO2 dissolved in sea water is mainly influenced by physico-chemical conditions (sea water temperature, salinity, total alkalinity) and biological processes, e.g. primary production. The solubility pump and the biological pump enhance the uptake of CO2 by the surface ocean influencing its values for dissolved CO2 and transferring carbon to deep waters. All these mechanisms are strongly connected, subtly balanced and influential to the ocean’s capacity to sink carbon. The net effect of the biological pump in itself is to keep the atmosphere concentration of CO2 around 30% of what it would be in its absence (Siegenthaler and Sarmiento, 1993).</description>
<pubDate>Wed, 14 Oct 2009 12:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/atmospheric-circulation-patterns_thumbnail_005.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>219</mapsgrida:thumbnailHeight>
<g:author>Giulio Frigieri</g:author>
<mapsgrida:descriptionnonhtml>Carbon cycling in the world’s oceans. The flow of carbon dioxide across the air-sea interface is a function of CO2 solubility in sea water (Solubility Pump). The amount of CO2 dissolved in sea water is mainly influenced by physico-chemical conditions (sea water temperature, salinity, total alkalinity) and biological processes, e.g. primary production. The solubility pump and the biological pump enhance the uptake of CO2 by the surface ocean influencing its values for dissolved CO2 and transferring carbon to deep waters. All these mechanisms are strongly connected, subtly balanced and influential to the ocean’s capacity to sink carbon. The net effect of the biological pump in itself is to keep the atmosphere concentration of CO2 around 30% of what it would be in its absence (Siegenthaler and Sarmiento, 1993).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/atmospheric-circulation-patterns_008.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1781137A-9B57-C943-8764-AB973883B83C</guid>
<g:label>global</g:label>
<g:label>Blue</g:label>
<g:label>Carbon</g:label>
<dc:contributor>Giulio Frigieri</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>R. Chester, 2003; H. Elderfield, 2006; R.A. Houghton, 2007; T.J. Lueker et al, 2000;J.A. Raven and P.G. Falkowski, 1999.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Atmospheric concentration of CO2</title>
<link>http://maps.grida.no/go/graphic/atmospheric-concentration-of-co2</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 15:42:20 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/atmospheric-concentration-of-co2_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>74</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/atmospheric-concentration-of-co_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/165C9DA5-164A-A63B-E649-B62ED63BBC28</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IMAGE modeling results</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Atmospheric concentrations of carbon dioxide (CO2) - Mauna Loa or Keeling curve</title>
<link>http://maps.grida.no/go/graphic/atmospheric-concentrations-of-carbon-dioxide-co2-mauna-loa-or-keeling-curve</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Atmospheric concentration of CO2 is steadily rising, and oceans directly assimilate CO2. As ocean concentration of CO2 increases, the oceans automatically become more acidic. This, in turn, may have severe impacts on coral reefs and other biocalcifying organisms. There is little debate on the effect as this is a straight-forward chemical process, but the implications for marine life, that may be severe due to many very pH-sensitive relationships in marine ecosystems, are still unknown.</description>
<pubDate>Fri, 22 Feb 2008 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/atmospheric-concentrations-of-carbon-dioxide-co2-mauna-loa-or-keeling-curve_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>133</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Atmospheric concentration of CO2 is steadily rising, and oceans directly assimilate CO2. As ocean concentration of CO2 increases, the oceans automatically become more acidic. This, in turn, may have severe impacts on coral reefs and other biocalcifying organisms. There is little debate on the effect as this is a straight-forward chemical process, but the implications for marine life, that may be severe due to many very pH-sensitive relationships in marine ecosystems, are still unknown.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/atmospheric-concentrations-of-carbon-dioxide-co2-mauna-loa-or-keeling-curve.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/DAB4F829-1087-B370-916B-D4652C4EE146</guid>
<g:label>global</g:label>
<g:label>marine issues</g:label>
<g:label>oceans</g:label>
<g:label>sea</g:label>
<g:label>seas</g:label>
<g:label>ocean</g:label>
<g:label>world ocean</g:label>
<g:label>climate change</g:label>
<g:label>global warming</g:label>
<g:label>carbon dioxide</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>NOAA Earth System Research Laboratory. 2007. Monthly mean atmospheric carbon dioxide at Mauna Loa Observatory, Hawaii. http://www.esrl.noaa.gov/gmd/ccgg/trends/co2_data_mlo.html (Accessed November 8, 2007)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Atmospheric concentrations of CO2 over the last 10 000 years</title>
<link>http://maps.grida.no/go/graphic/atmospheric-concentrations-of-co2-over-the-last-10-000-years</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data.</description>
<pubDate>Mon, 05 Oct 2009 13:19:17 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/atmospheric-concentrations-of-co2-over-the-last-10-000-years_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>82</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/atmospheric-concentrations-of-co2-over-the-last-10-000-years_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/58B7E491-5A02-128A-0CB3-F6458156CB81</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IPCC 2007</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Augmentation de la production des principales cultures agricoles selon le rendement et la superficie cultivée (1965–2008)</title>
<link>http://maps.grida.no/go/graphic/augmentation-de-la-production-des-principales-cultures-agricoles-selon-le-rendement-et-la-superficie</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>L’accroissement des rendements a été dans l’ensemble supérieur à celui des superficies.
</description>
<pubDate>Mon, 08 Jun 2009 15:36:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/augmentation-de-la-production-des-principales-cultures-agricoles-selon-le-rendement-et-la-superficie_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>248</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>L’accroissement des rendements a été dans l’ensemble supérieur à celui des superficies.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/augmentation-de-la-production-des-principales-cultures-agricoles-selon-le-rendement-et-la-superficie_005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CE9B6E0C-1029-CF71-46D4-9CF1703D9840</guid>
<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank. 2009. Global Economic Prospects 2009. http://www.worldbank.org/gep2009 (Accessed January 9, 2008)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Australia emissions of greenhouse gases (CO2, CH4, N2O) 1990 and 2010 projection</title>
<link>http://maps.grida.no/go/graphic/australia_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projection</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/australia_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projection_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>196</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/australia_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projection.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/6E1FA401-734B-4ECF-8F7F-05B8853D7745</guid>
<g:label>AU</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>methane</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AU</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>-32</geo:lat>
<geo:long>135</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-54 112</gml:lowerCorner>
<gml:upperCorner>-10 158</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Australia, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/australia_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Australia.
Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop_6_total_greenhouse_gas_emissions_australia_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Australia.
Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop_6_total_greenhouse_gas_emissions_australia.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5EEC114C-299D-4DF6-B2D5-323553800621</guid>
<g:label>AU</g:label>
<g:label>cop7</g:label>
<g:label>Australia</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<g:label></g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AU</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Actual emissions UNFCCC/SB1/2000/11 table B.1
Projected emissions UNFCCC/1998/add.2 table C.6</dc:source>
<geo:lat>-32</geo:lat>
<geo:long>135</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-54 112</gml:lowerCorner>
<gml:upperCorner>-10 158</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Austria, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/austria_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This Graphic shows total greenhouse gas emissions from Austria. Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop6_total_greenhouse_gas_emissions_austria_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This Graphic shows total greenhouse gas emissions from Austria. Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop6_total_greenhouse_gas_emissions_austria.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/46433B07-8153-4297-8823-1136E2B36791</guid>
<g:label>AT</g:label>
<g:label>cop7</g:label>
<g:label>Austria</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<g:label></g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AT</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC/SB1/2000/11 table B.1</dc:source>
<geo:lat>47.5</geo:lat>
<geo:long>13</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>46 9</gml:lowerCorner>
<gml:upperCorner>49 17</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Average Annual Rate of Change</title>
<link>http://maps.grida.no/go/graphic/average-annual-rate-of-change</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Changes in area covered by forest, 1990-2005. </description>
<pubDate>Thu, 08 Oct 2009 12:38:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/average-annual-rate-of-change_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>138</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Changes in area covered by forest, 1990-2005. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/average-annual-rate-of-change_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7C179293-C773-8DB6-A84D-B7767E20C9B8</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO 2006a. Map produced by Marion Lecoquierre, University of Paris I.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Average Recurrence Interval for sea-level events of a given height at Sydney, Australia6c_sidney_level</title>
<link>http://maps.grida.no/go/graphic/average-recurrence-interval-for-sea-level-events-of-a-given-height-at-sydney-australia6c_sidney_level</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>For the second half of the 20th century (red line), the average recurrence interval for a sea-level height of a given value is less than half the value for the first half of the 20th century (blue line).</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/average-recurrence-interval-for-sea-level-events-of-a-given-height-at-sydney-australia6c_sidney_level_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>164</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>For the second half of the 20th century (red line), the average recurrence interval for a sea-level height of a given value is less than half the value for the first half of the 20th century (blue line).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/average-recurrence-interval-for-sea-level-events-of-a-given-height-at-sydney-australia6c_sidney_level.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/AC29307D-6C1C-1614-0C77-13420134FA61</guid>
<g:label>AU</g:label>
<g:label>cryosphere</g:label>
<g:label>sea-level</g:label>
<g:label>climate change</g:label>
<g:label>disasters</g:label>
<g:label>floods</g:label>
<g:label>vulnerability</g:label>
<g:label>extreme events</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AU</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Church, J.A., Hunter, J.R., McInnes, K. and White, N.J. (2006). Sealevel rise around the Australian coastline and the changing frequency of extreme events. Australian Meteorological Magazine, 55, 253-260</dc:source>
<geo:lat>-32</geo:lat>
<geo:long>135</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-54 112</gml:lowerCorner>
<gml:upperCorner>-10 158</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Average sea level 1900-2009</title>
<link>http://maps.grida.no/go/graphic/average-sea-level-1900-2009</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Laura Margueritte </mapsgrida:designer>
<description>Sea-level rise is accelerating.</description>
<pubDate>Tue, 27 Oct 2009 18:50:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/average-sea-level-1900-2009_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>88</mapsgrida:thumbnailHeight>
<g:author>Laura Margueritte </g:author>
<mapsgrida:descriptionnonhtml>Sea-level rise is accelerating.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/average-sea-level-1900-_010.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/6CA3508C-FD73-5978-2361-1243ED202F62</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Laura Margueritte </dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Church J.A., N.J. White, R. Coleman, K. Lambeck, and J.X. Mitrovica 2004.
Jevrejeva S., Grinsted A., Moore J.C. and Holgate S. 2006.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Awareness and preparedness for emergencies at local level (APELL) sites in India</title>
<link>http://maps.grida.no/go/graphic/awareness-and-preparedness-for-emergencies-at-local-level-apell-sites-in-india</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Awareness and preparedness for emergencies at local level (APELL). APELL achieves its aims through community participation in emergency planning, via a structured dialogue between representatives of the source of the hazard (e.g. a land-owner), local authorities (the emergency services, e.g. fi re and /or police) and community
leaders (who inform their constituencies). This dialogue is achieved through a ‘Co-ordinating Group’ which reviews the hazard situation and then proposes some measures to address the risks. The outcome is an emergency plan to which the community has provided substantial input and which is understood by ordinary citizens.</description>
<pubDate>Mon, 06 Feb 2006 17:32:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/awareness-and-preparedness-for-emergencies-at-local-level-apell-sites-in-india_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>178</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Awareness and preparedness for emergencies at local level (APELL). APELL achieves its aims through community participation in emergency planning, via a structured dialogue between representatives of the source of the hazard (e.g. a land-owner), local authorities (the emergency services, e.g. fi re and /or police) and community
leaders (who inform their constituencies). This dialogue is achieved through a ‘Co-ordinating Group’ which reviews the hazard situation and then proposes some measures to address the risks. The outcome is an emergency plan to which the community has provided substantial input and which is understood by ordinary citizens.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/awareness-and-preparedness-for-emergencies-at-local-level-apell-sites-in-india.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/739B980E-FE38-D19E-5E28-74BAFAF25951</guid>
<g:label>IN</g:label>
<g:label>India</g:label>
<g:label>APELL</g:label>
<g:label>Awareness and preparedness for emergencies at local level</g:label>
<g:label>disaster</g:label>
<g:label>emergency</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>IN</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>NationalSafety Council of India (NSCI)</dc:source>
<geo:lat>20.5</geo:lat>
<geo:long>82.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>6 68</gml:lowerCorner>
<gml:upperCorner>35 97</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Azerbaijan, topographic map</title>
<link>http://maps.grida.no/go/graphic/azerbaijan_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Azerbaijan is located in Southwestern Asia, bordering the Caspian Sea, between Iran and Russia, with a small European portion north of the Caucasus range, comprising of 86,600 sq km. It has a population of 7,911,974 (2005). Major environmental concerns are: local scientists consider the Abseron Yasaqligi (Apsheron Peninsula) (including Baku and Sumqayit) and the Caspian Sea to be the ecologically most devastated area in the world because of severe air, soil, and water pollution; soil pollution results from oil spills, from the use of DDT as a pesticide, and from toxic defoliants used in the production of cotton.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/azerbaijan_topographic_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>168</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Azerbaijan is located in Southwestern Asia, bordering the Caspian Sea, between Iran and Russia, with a small European portion north of the Caucasus range, comprising of 86,600 sq km. It has a population of 7,911,974 (2005). Major environmental concerns are: local scientists consider the Abseron Yasaqligi (Apsheron Peninsula) (including Baku and Sumqayit) and the Caspian Sea to be the ecologically most devastated area in the world because of severe air, soil, and water pollution; soil pollution results from oil spills, from the use of DDT as a pesticide, and from toxic defoliants used in the production of cotton.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/azerbaijan_topographic_map.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7DF34A25-D296-40C3-997F-90D96BE21057</guid>
<g:label>AZ</g:label>
<g:label>Azerbaijan</g:label>
<g:label>topography</g:label>
<g:label>central asia</g:label>
<g:label>caspian sea</g:label>
<g:label>Caucasus</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AZ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Times Atlas of the World</dc:source>
<geo:lat>39.5</geo:lat>
<geo:long>47</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>38 44</gml:lowerCorner>
<gml:upperCorner>41 50</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Back to the future: The science of building scenarios</title>
<link>http://maps.grida.no/go/graphic/back_to_the_future_the_science_of_building_scenarios</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Diagram showing four scenarios for the future each with different influences between market orientation and environmental, and regional and global. Then predictive charts show the scenarios in terms of emissions, concentrations and impacts of CO2 levels.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_14_15_scenarios.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>134</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Diagram showing four scenarios for the future each with different influences between market orientation and environmental, and regional and global. Then predictive charts show the scenarios in terms of emissions, concentrations and impacts of CO2 levels.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/14_15_scenarios.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B43F1448-E46C-4299-92F4-0C85B3045269</guid>
<g:label>global</g:label>
<g:label>CO2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>emissions</g:label>
<g:label>market</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Bad harvests in South Niger</title>
<link>http://maps.grida.no/go/graphic/bad-harvests-in-south-niger</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In Niger, one of the world's poorest countries, people are far more concerned about the availability of food than its quality. In some areas, particularly in August and September when one crop runs out and the next is not ready to harvest, people eat very little – some days nothing at all.</description>
<pubDate>Sun, 10 Feb 2008 00:38:17 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/bad-harvests-in-south-niger_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>107</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In Niger, one of the world&apos;s poorest countries, people are far more concerned about the availability of food than its quality. In some areas, particularly in August and September when one crop runs out and the next is not ready to harvest, people eat very little – some days nothing at all.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/bad-harvests-in-south-niger.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/AF0CC19F-F2C8-13E0-C6A1-1493F02720D5</guid>
<g:label>NE</g:label>
<g:label>Environment</g:label>
<g:label>poverty</g:label>
<g:label>Niger</g:label>
<g:label>crops</g:label>
<g:label>drought</g:label>
<g:label>famine</g:label>
<g:label>climate change</g:label>
<g:label>agriculture</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>NE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Field Survey 2000, Agrhymet, Niamey, Niger</dc:source>
<geo:lat>17</geo:lat>
<geo:long>7.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>11 0</gml:lowerCorner>
<gml:upperCorner>23 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Balkans: hazardous industrial sites, water pollution and mining hot spots</title>
<link>http://maps.grida.no/go/graphic/balkans-hazardous-industrial-sites-water-pollution-and-mining-hot-spots</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/DEWA/GRID-Europe </mapsgrida:designer>
<description>The environmental legacy associated with extraction industries is all too familiar. Badly operated or abandoned mining sites have already caused severe pollution, some with impacts spilling across national boundaries: heavy metal spills from Baia Borsa tailings in Romania; the cyanide spill from Baia Mare in Romania; heavy metal spills from Sasa tailings in Macedonia; and various releases at Majdanpek and Veliki Majdan in Serbia, and Mojkovac in Montenegro.</description>
<pubDate>Fri, 08 Feb 2008 09:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/balkans-hazardous-industrial-sites-water-pollution-and-mining-hot-spots_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>235</mapsgrida:thumbnailHeight>
<g:author>UNEP/DEWA/GRID-Europe </g:author>
<mapsgrida:descriptionnonhtml>The environmental legacy associated with extraction industries is all too familiar. Badly operated or abandoned mining sites have already caused severe pollution, some with impacts spilling across national boundaries: heavy metal spills from Baia Borsa tailings in Romania; the cyanide spill from Baia Mare in Romania; heavy metal spills from Sasa tailings in Macedonia; and various releases at Majdanpek and Veliki Majdan in Serbia, and Mojkovac in Montenegro.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/balkans-hazardous-industrial-sites-water-pollution-and-mining-hot-spots.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8F1872E6-161C-1344-D014-1223498D913E</guid>
<g:label>balkan</g:label>
<g:label>water</g:label>
<g:label>nuclear</g:label>
<g:label>mining</g:label>
<g:label>pollution</g:label>
<g:label>freshwater</g:label>
<dc:contributor>UNEP/DEWA/GRID-Europe </dc:contributor>
<dc:coverage>balkan</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>41</geo:lat>
<geo:long>19.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 13</gml:lowerCorner>
<gml:upperCorner>47 26</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Balkans: topographic and political map</title>
<link>http://maps.grida.no/go/graphic/balkans_topographic_and_political_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Balkans includes Albania, Bosnia-Herzegovina, Croatia, the Former Yugoslav Republic of Macedonia and Serbia and Montenegro (ex-Yugoslavia). The area is recovering from a long conflict and instability as a result of the dissolution of the former Yugoslavia.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/balkans_topographic_and_political_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>194</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Balkans includes Albania, Bosnia-Herzegovina, Croatia, the Former Yugoslav Republic of Macedonia and Serbia and Montenegro (ex-Yugoslavia). The area is recovering from a long conflict and instability as a result of the dissolution of the former Yugoslavia.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/balkans_topographic_and_political_map.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/50D0437D-9988-4A0A-A7A0-3EBFB2CEA6D7</guid>
<g:label>balkan</g:label>
<g:label>balkans</g:label>
<g:label>topography</g:label>
<g:label>albania</g:label>
<g:label>bosnia-herzegovina</g:label>
<g:label>croatia</g:label>
<g:label>serbia</g:label>
<g:label>yugoslavia</g:label>
<g:label>macedonia</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>balkan</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Atlas de Poche, Philippe Rekacewicz, Le Livre de Poche, Paris, August 1996.</dc:source>
<geo:lat>41</geo:lat>
<geo:long>19.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 13</gml:lowerCorner>
<gml:upperCorner>47 26</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Baltic Sea drainage basin</title>
<link>http://maps.grida.no/go/graphic/baltic_sea_drainage_basin</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This 'basemap' displays the extent of the drainage basin (the boundary for the water that ends up in the Baltic Sea), and the countries in the region. The drainage basin represents all water that drains into the sea, through rivers and ground water.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/baltic_sea_drainage_basin_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>151</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This &apos;basemap&apos; displays the extent of the drainage basin (the boundary for the water that ends up in the Baltic Sea), and the countries in the region. The drainage basin represents all water that drains into the sea, through rivers and ground water.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/baltic_sea_drainage_basin.jpg</g:image_link>
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<g:label>balticregion</g:label>
<g:label>water drainage</g:label>
<g:label>marine issues</g:label>
<g:label>drainage basins</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>balticregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Baltic Sea Region GIS, Maps and Statistical Database (UNEP/GRID-Arendal)</dc:source>
<geo:lat>60</geo:lat>
<geo:long>20</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>50 4</gml:lowerCorner>
<gml:upperCorner>70 36</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Barents Region and the surrounding seas</title>
<link>http://maps.grida.no/go/graphic/barents_region_and_the_surrounding_seas</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Barent's Euro-Arctic Council was established in 1993 to promote inter-governmental cooperation in the northenmost parts of Sweden, Norway, Finland and north-west Russia. The cooperating region includes, in the Scandinavian countries, the counties of Nordland, Troms and Finnmark in Norway, Norrbotten and Västerbotten in Sweden, and Lapland and the province of Oulu in Finland. In Russia, it includes the Arkhangelsk and Murmansk Oblasts, the Republic of Karelia, the Nenets Autonomous Okrug, and the Republic of Komi. Historically in the Soviet era, contacts between the Western European and Russian parts of the region were restricted. Cooperation since the beginning of the 1990's has increased rapidly. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/barents_region_and_the_surrounding_seas_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>178</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Barent&apos;s Euro-Arctic Council was established in 1993 to promote inter-governmental cooperation in the northenmost parts of Sweden, Norway, Finland and north-west Russia. The cooperating region includes, in the Scandinavian countries, the counties of Nordland, Troms and Finnmark in Norway, Norrbotten and Västerbotten in Sweden, and Lapland and the province of Oulu in Finland. In Russia, it includes the Arkhangelsk and Murmansk Oblasts, the Republic of Karelia, the Nenets Autonomous Okrug, and the Republic of Komi. Historically in the Soviet era, contacts between the Western European and Russian parts of the region were restricted. Cooperation since the beginning of the 1990&apos;s has increased rapidly. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/barents_region_and_the_surrounding_seas.jpg</g:image_link>
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<g:label>barentsregion</g:label>
<g:label>Arctic</g:label>
<g:label>Barents</g:label>
<g:label>Geopolitic</g:label>
<g:label>International organizations</g:label>
<g:label>EEA</g:label>
<g:label>EU</g:label>
<g:label>CIS</g:label>
<g:label>Administration</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentsregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>DCW 1992, Statens kartverk (Norway) and various sources compiled by the author.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>39</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 5</gml:lowerCorner>
<gml:upperCorner>85 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Barents Region, topography and bathmetry</title>
<link>http://maps.grida.no/go/graphic/barents_region_topography_and_bathmetry</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. The Barents Sea has an average depth 230 m, bordered by the shelf edge towards the Norwegian Sea in the west, the island of Svalbard (Norway) in the northwest, and the islands of Franz Josef Land and Novaya Zemlya (Russia) in the northeast and east. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)
</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/barents_region_topography_and_bathmetry_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>198</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. The Barents Sea has an average depth 230 m, bordered by the shelf edge towards the Norwegian Sea in the west, the island of Svalbard (Norway) in the northwest, and the islands of Franz Josef Land and Novaya Zemlya (Russia) in the northeast and east. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/barents_region_topography_and_bathmetry.jpg</g:image_link>
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<g:label>barentsregion</g:label>
<g:label>Arctic</g:label>
<g:label>Barents</g:label>
<g:label>Topography</g:label>
<g:label>Bathymetry</g:label>
<g:label>Geography</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentsregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>MNOAA, 1988. Data Announcement 88-MGG-02, Digital relief of the surface of the Earth. NOAA, National Geophysical Data Center, Boulder, Colorado.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>39</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 5</gml:lowerCorner>
<gml:upperCorner>85 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Barents Region, topography and bathymetry</title>
<link>http://maps.grida.no/go/graphic/barents_region_topography_and_bathymetry3</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Barents Region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. The Barents Sea has anaverage depth 230 m, bordered by the shelf edge towards the Norwegian Sea in the west, the island of Svalbard (Norway) in the northwest, and the islands of Franz Josef Land and Novaya Zemlya (Russia) in the northeast and east. </description>
<pubDate>Tue, 19 Dec 2006 14:07:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/barents_region_topography_and_bathymetry_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Barents Region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. The Barents Sea has anaverage depth 230 m, bordered by the shelf edge towards the Norwegian Sea in the west, the island of Svalbard (Norway) in the northwest, and the islands of Franz Josef Land and Novaya Zemlya (Russia) in the northeast and east. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/barents_region_topography_and_bathymetry_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/146BBFD9-BEE5-B455-4BC4-6C5930E37916</guid>
<g:label>barentsregion</g:label>
<g:label>topography</g:label>
<g:label>bathymetry</g:label>
<g:label>base map</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentsregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Ahlenius, H. 2005. Vital Arctic Graphics, figure 2: Topography and bathymetry of the Arctic. Arendal, Norway: UNEP/GRID-Arendal
ESRI Inc. 1993. Digital Chart of the World. Redlands, USA: ESRI.
ESRI Inc. 2000. ESRI Data &amp; Maps. Redlands, USA: ESRI.
NGA. 2000. VMAP 0, Version 5. http://geoengine.nga.mil/ geospatial/SW_TOOLS/NIMAMUSE/webinter/rast_roam.html (accessed July 14, 2006)
Patterson, T. 2006. CleanTOPO2. http://www.shadedrelief.com/cleantopo2/ (accessed July 20, 2006)
World Data Center for Marine Geology &amp; Geophysics. 2001. 2-Minute Gridded Global Relief Data (ETOPO2). http://www.ngdc.noaa.gov/mgg/fliers/ 01mgg04.html (accessed July 18, 2006</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>39</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 5</gml:lowerCorner>
<gml:upperCorner>85 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Barents Sea - Oil free zones</title>
<link>http://maps.grida.no/go/graphic/barents-sea-oil-free-zones</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Proposal from the World Wildlife Fund for Nature (WWF) for permanent petroleum-free zones in the Barents Sea. Areas covered with ice for parts of the year are also included in the proposed zones. The map has been drawn up by WWF Norway and is based on vulnerability analyses from Det Norske Veritas (April 2005) and mapping of fish resources from the Norwegian Institute of Marine Research (March 2005).</description>
<pubDate>Thu, 20 Sep 2007 12:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/barents_sea_oil_free_zones_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>236</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Proposal from the World Wildlife Fund for Nature (WWF) for permanent petroleum-free zones in the Barents Sea. Areas covered with ice for parts of the year are also included in the proposed zones. The map has been drawn up by WWF Norway and is based on vulnerability analyses from Det Norske Veritas (April 2005) and mapping of fish resources from the Norwegian Institute of Marine Research (March 2005).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/barents_sea_oil_free_zones_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F319FC9F-923D-A38C-B021-5DC97F5671E6</guid>
<g:label>barentssea</g:label>
<g:label>oil</g:label>
<g:label>conservation</g:label>
<g:label>natural resources</g:label>
<g:label>marine issues</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentssea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WWF. 2005. Petroleum-free zones in the Barents Sea. http://assets.panda.org/downloads/wwfpetroleumfreezonesbarents2005.pdf [Accessed July 1, 2006]</dc:source>
<geo:lat>75.5</geo:lat>
<geo:long>39.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>66 9</gml:lowerCorner>
<gml:upperCorner>85 70</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Barents Sea ecoregion conservation priority areas and oil and gas infrastructure</title>
<link>http://maps.grida.no/go/graphic/barents-sea-ecoregion-conservation-priority-areas-and-oil-and-gas-infrastructure</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Barents Sea ecoregion - the part of the World Ocean north of the Nordic countries and Northwest Russia, has a unique environment with major sea bird colonies, rich benthic and plankton fauna and many major sea mammal species. To identify priority areas for conservation, thirty experts delineated sea areas based on ecological criteria in a WWF study. One of the main threats to the region is the development associated with the expansion of fossil fuel extraction activities. Russia and Norway are expanding new fields, and traffic is expected to increase.</description>
<pubDate>Thu, 09 Aug 2007 12:25:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/barents-sea-ecoregion-conservation-priority-areas-and-oil-and-gas-infrastructure_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>183</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Barents Sea ecoregion - the part of the World Ocean north of the Nordic countries and Northwest Russia, has a unique environment with major sea bird colonies, rich benthic and plankton fauna and many major sea mammal species. To identify priority areas for conservation, thirty experts delineated sea areas based on ecological criteria in a WWF study. One of the main threats to the region is the development associated with the expansion of fossil fuel extraction activities. Russia and Norway are expanding new fields, and traffic is expected to increase.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/barents-sea-ecoregion-conservation-priority-areas-and-oil-and-gas-infrastructure.jpg</g:image_link>
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<g:label>barentssea</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>natural resources</g:label>
<g:label>oil</g:label>
<g:label>gas</g:label>
<g:label>pipelines</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentssea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Wildlife Fund. 'Barents Sea Ecoregion: A biodiversity assessment'. 2004. http://www.panda.org/about_wwf/where_we_work/europe/what_we_do/arctic/what_we_do/marine/barents/publications/index.cfm?uNewsID=12202</dc:source>
<geo:lat>75.5</geo:lat>
<geo:long>39.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>66 9</gml:lowerCorner>
<gml:upperCorner>85 70</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Barents Sea vulnerability index</title>
<link>http://maps.grida.no/go/graphic/barents-sea-vulnerability-index</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Areas that are vulnerable to pollution from oil and chemical spills where identified using a multiple index in a geographical analysis. Factors, including shoreline sensitivity, corals, benthic conditions, sea birds, marine mammals, fish and fisheries and other sea resources where taken into account and weighed for their importance.</description>
<pubDate>Mon, 17 Sep 2007 11:54:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/barents_sea_vulnerability_index_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>273</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Areas that are vulnerable to pollution from oil and chemical spills where identified using a multiple index in a geographical analysis. Factors, including shoreline sensitivity, corals, benthic conditions, sea birds, marine mammals, fish and fisheries and other sea resources where taken into account and weighed for their importance.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/barents_sea_vulnerability_index.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/132948CB-88E3-155F-9390-15CCF680FBAB</guid>
<g:label>barentssea</g:label>
<g:label>marine issues</g:label>
<g:label>oil resources</g:label>
<g:label>shipping</g:label>
<g:label>oil</g:label>
<g:label>gas</g:label>
<g:label>natural resources</g:label>
<g:label>extraction</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentssea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>DNV. 2005. Sårbare områder i barentshavet. http://assets.wwf.no/downloads/dnv_2005_saarbarhet_barents.pdf [accessed July 1, 2006]</dc:source>
<geo:lat>75.5</geo:lat>
<geo:long>39.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>66 9</gml:lowerCorner>
<gml:upperCorner>85 70</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Barren Lands</title>
<link>http://maps.grida.no/go/graphic/barren-lands</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Deforestation is well known for aggravating erosion. Bare soil has no protection against heavy rain, washing away immediately. On hillsides, it readily turns into mudslides leaving people very little time to seek refuge and cutting deep ravines into the earth. And where deforested land was turned into cultivated fields, the soil is likely to be overused and exploited through intensive use of fertiliser.</description>
<pubDate>Mon, 06 Feb 2006 17:51:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/barren_lands_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>108</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Deforestation is well known for aggravating erosion. Bare soil has no protection against heavy rain, washing away immediately. On hillsides, it readily turns into mudslides leaving people very little time to seek refuge and cutting deep ravines into the earth. And where deforested land was turned into cultivated fields, the soil is likely to be overused and exploited through intensive use of fertiliser.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_barren_lands.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E3DD862E-D50F-9389-4416-F51FF49268B6</guid>
<g:label>global</g:label>
<g:label>deforestation</g:label>
<g:label>forest</g:label>
<g:label>barrens</g:label>
<g:label>soil erosion</g:label>
<g:label>chemical pollution</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Tropical Ecosystem Enviroment observations by Satellite (TREES) Joint Research Center (JRC), 2000; USDA, 2001, Global Forest Resources Assessment (FRA) 2000, FAO</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>BedZED (Beddington Zero energy development), location</title>
<link>http://maps.grida.no/go/graphic/bedzed_beddington_zero_energy_development_location</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Cécile Marin</mapsgrida:designer>
<description>At Beddington, south of London, a housing development known as BedZED (Beddington Zero energy development) was designed from the start to produce little waste of any sort. It was built on a depolluted plot of land, previously used by industry, and recycled materials were used in its construction.</description>
<pubDate>Tue, 19 Dec 2006 14:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/bedzed_beddington_zero_energy_development_location_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>187</mapsgrida:thumbnailHeight>
<g:author>Cécile Marin</g:author>
<mapsgrida:descriptionnonhtml>At Beddington, south of London, a housing development known as BedZED (Beddington Zero energy development) was designed from the start to produce little waste of any sort. It was built on a depolluted plot of land, previously used by industry, and recycled materials were used in its construction.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/bedzed_beddington_zero_energy_development_location.jpg</g:image_link>
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<g:label>GB</g:label>
<g:label>BedZED</g:label>
<g:label>Beddington</g:label>
<g:label>energy</g:label>
<g:label>recycling</g:label>
<g:label>reuse</g:label>
<g:label>green</g:label>
<g:label>housing development</g:label>
<dc:contributor>Cécile Marin</dc:contributor>
<dc:coverage>GB</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>NA</dc:source>
<geo:lat>54.5</geo:lat>
<geo:long>-3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>49 -8</gml:lowerCorner>
<gml:upperCorner>60 2</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Belarus, Moldova and Ukraine: forest cover</title>
<link>http://maps.grida.no/go/graphic/belarus-moldova-and-ukraine-forest-cover</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov, UNEP/GRID-Arendal</mapsgrida:designer>
<description>There is not a lot of forest coverage in the area. Most of the region consists of plain and lowland, wooded as in Belarus and northern Ukraine, or open steppe as elsewhere. Forests are concentrated in the relatively small mountain regions on the edges of Eastern Europe: in the Carpathians and Crimea.</description>
<pubDate>Sat, 12 Jan 2008 17:20:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/belarus-moldova-and-ukraine-forest-cover_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>260</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>There is not a lot of forest coverage in the area. Most of the region consists of plain and lowland, wooded as in Belarus and northern Ukraine, or open steppe as elsewhere. Forests are concentrated in the relatively small mountain regions on the edges of Eastern Europe: in the Carpathians and Crimea.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/belarus-moldova-and-ukraine-forest-cover_003.jpg</g:image_link>
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<g:label>geoeeurope</g:label>
<g:label>forests</g:label>
<g:label>conservation</g:label>
<g:label>land use</g:label>
<dc:contributor>Viktor Novikov, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>United Nations Environment Programme - World Conservation Monitoring Centre. Forest cover digital data (www.unep-wcmc.org/forest/). Data processing by UNEP / DEWA / GRID-Europe.</dc:source>
<geo:lat>59.5</geo:lat>
<geo:long>28.5</geo:long>
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<gml:upperCorner>81 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Belarus, Moldova and Ukraine: topography</title>
<link>http://maps.grida.no/go/graphic/belarus-moldova-and-ukraine-topography</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Eastern Europe extends from the northern shore of the Black Sea in Ukraine up to the Baltic Sea basin in Belarus. It covers 845,000 square kilometers and is home to almost 60 million people. These nations share common borders, watersheds, and infrastructure and have many similarities in their geography, history, culture and economy.</description>
<pubDate>Sat, 12 Jan 2008 17:11:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/belarus-moldova-and-ukraine-topography_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>286</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Eastern Europe extends from the northern shore of the Black Sea in Ukraine up to the Baltic Sea basin in Belarus. It covers 845,000 square kilometers and is home to almost 60 million people. These nations share common borders, watersheds, and infrastructure and have many similarities in their geography, history, culture and economy.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/belarus-moldova-and-ukraine-topography_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14C1F6E3-5B2B-1413-1D8C-10CF12F84304</guid>
<g:label>geoeeurope</g:label>
<g:label>topography</g:label>
<g:label>base map</g:label>
<dc:contributor>Viktor Novikov, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>National Oceanic &amp; Atmospheric Administration. World Data Center for Marine Geology &amp; Geophysics. Gridded global relief data (ETOPO2); ESRI Inc. Global elevation digital data. Redlands, California. Data processing by UNEP / DEWA / GRID-Europe.</dc:source>
<geo:lat>59.5</geo:lat>
<geo:long>28.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>38 22</gml:lowerCorner>
<gml:upperCorner>81 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Belarus, topographic map</title>
<link>http://maps.grida.no/go/graphic/belarus_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Belarus is located in Eastern Europe, east of Poland, comprising of 207,600 sq km. It has a population of 10,300,483 (2005). Major environmental concerns are: soil pollution from pesticide use; southern part of the country contaminated with fallout from 1986 nuclear reactor accident at Chernobyl in northern Ukraine.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/belarus_topographic_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>167</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Belarus is located in Eastern Europe, east of Poland, comprising of 207,600 sq km. It has a population of 10,300,483 (2005). Major environmental concerns are: soil pollution from pesticide use; southern part of the country contaminated with fallout from 1986 nuclear reactor accident at Chernobyl in northern Ukraine.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/belarus_topographic_map.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/08E82230-F43F-4DDC-8DD7-7C74E9714217</guid>
<g:label>BY</g:label>
<g:label>Belarus</g:label>
<g:label>Eastern Europe</g:label>
<g:label>soviet union</g:label>
<g:label>topography</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>BY</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>53.5</geo:lat>
<geo:long>27.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>51 23</gml:lowerCorner>
<gml:upperCorner>56 32</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Belgium emissions of greenhouse gases (CO2, CH4, N2O) 1990 and 2010 projections</title>
<link>http://maps.grida.no/go/graphic/belgium_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/belgium_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>196</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/belgium_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/3CD70924-D72A-47B7-97ED-AF008E3D4D69</guid>
<g:label>BE</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>methane</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>BE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>50</geo:lat>
<geo:long>4</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>49 2</gml:lowerCorner>
<gml:upperCorner>51 6</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Belgium, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/belgium_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Belgium. Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop6_total_greenhouse_gas_emissions_belgium_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Belgium. Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop6_total_greenhouse_gas_emissions_belgium.jpg</g:image_link>
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<g:label>BE</g:label>
<g:label>cop7</g:label>
<g:label>Belgium</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<g:label></g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>BE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Actual emissions UNFCCC/SB1/2000/11 Table B.1
Projected emissions UNFCCC/1998/Add.2 table C.6</dc:source>
<geo:lat>50</geo:lat>
<geo:long>4</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>49 2</gml:lowerCorner>
<gml:upperCorner>51 6</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Below-ground carbon stocks</title>
<link>http://maps.grida.no/go/graphic/below-ground-carbon-stocks</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The three coastal peat swamps of Tripa, Kluet and Singkil together represent the most important habitat for Sumatran oran-gutan populations in terms of density (van Schaik et al. 1995). When considering that the depth of the peat exceeds more than five metres in many parts of Aceh’s peatlands, these coastal peat swamp forests represent by far the largest carbon stocks per unit area for the areas where Sumatran orangutans occur (Wahyunto
et al. 2003; Agus and Wahdini 2008).</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/below-ground-carbon-stocks_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>251</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The three coastal peat swamps of Tripa, Kluet and Singkil together represent the most important habitat for Sumatran oran-gutan populations in terms of density (van Schaik et al. 1995). When considering that the depth of the peat exceeds more than five metres in many parts of Aceh’s peatlands, these coastal peat swamp forests represent by far the largest carbon stocks per unit area for the areas where Sumatran orangutans occur (Wahyunto
et al. 2003; Agus and Wahdini 2008).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/below-ground-carbon-stocks_005.jpg</g:image_link>
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<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Hillshade generated from SRTM 90m DEM available from the CGIAR website (http://srtm.csi.cgiar.org/).
Bathymetry from the ETOPO1 Global Relief Model downloaded from: http://www.ngdc.noaa.gov/mgg/global/global.html
Sumatran orangutan distribution shapefile prepared by Singleton and Wich and based on Wich et al. 2008 with unpublished data added.
Geological and Mining Area Environment.
Data provided by the World Agroforestry Centre
Agus, F. and Wahdini, W. 2008. Assessment of Carbon Stock of Peat-land at Tripa, Nagan Raya District, Nanggroe, Aceh Darussalam. Province of Indonesia. Indonesia Centre for Agriculture Land Resources Research and Development.
van Schaik C.P., Azwar and Priatna D. 1995. Population estimates and habitat preferences of orangutans based on line transects of nests. In: Nadler, R.D., Galdikas, B.F.M., Sheeran, L.K. and Rosen, N. (eds).The neglected ape. Plenum Press, New York. Pp. 109-116.
Wahyunto, R.S. and Subagjo, H. 2003. Map of peatland distribution area and carbon content in Sumatra. Wetlands International Indonesia Program and Wildlife Habitat Canada (WHC).
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Benefits from marine and coastal ecosystems and activities</title>
<link>http://maps.grida.no/go/graphic/benefits-from-marine-and-coastal-ecosystems-and-activities</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Delphine Digout, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Besides the well-known economic value of fisheries, there are several other activities generating significant revenues in coastal and marine areas. This graphic discusses the economic benefits of coastal tourism, trade and shipping, offshore oil and gas, and fisheries. It also illustrates the estimated mean value of marine biomes such as estuaries and coastal reefs. </description>
<pubDate>Tue, 10 Jul 2007 08:51:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/benefits-from-marine-and-coastal-ecosystems-and-activities_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>212</mapsgrida:thumbnailHeight>
<g:author>Delphine Digout, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Besides the well-known economic value of fisheries, there are several other activities generating significant revenues in coastal and marine areas. This graphic discusses the economic benefits of coastal tourism, trade and shipping, offshore oil and gas, and fisheries. It also illustrates the estimated mean value of marine biomes such as estuaries and coastal reefs. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/benefits-from-marine-and-coastal-ecosystems-and-activities.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>marine</g:label>
<g:label>coastal</g:label>
<g:label>water</g:label>
<g:label>offshore</g:label>
<g:label>natural resources</g:label>
<g:label>ecosystems</g:label>
<g:label>ecosystem services</g:label>
<g:label>fisheries</g:label>
<g:label>tourism</g:label>
<dc:contributor>Delphine Digout, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Anne Platt McGinn, The Health of Oceans, Worldwatch paper 145, Worldwatch Institute 1991, Washington DC (www.worldwatch.org). Costanza, R., et al, The Value of the World's Ecosystem Services and Natural Capital, Ecological Economics, 1998.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Benefits of marine and coastal ecosystems to human wellbeing</title>
<link>http://maps.grida.no/go/graphic/benefits-of-marine-and-coastal-ecosystems-to-human-wellbeing</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Phillippe Rekacewicz, February 2006</mapsgrida:designer>
<description>Besides the well-known economic value of fisheries, there are several other activities generating significant revenues in coastal and marine areas. Tourism has become one of the world’s fastest growing industries, providing a significant proportion of the GDPs of many developing countries. Small island states are particularly reliant on coastal and marine tourism. In the Caribbean, for example, the industry accounts for a quarter of the total economy, and a fifth of all jobs. However, the very areas that attract tourists are also coming under increasing pressure from the damage and pollution caused by tourist facilities and the supporting infrastructure (GESAMP, 2001a).
The world’s oceans also provide for a global shipping industry, which has recorded significant growth in recent years. By 2020, the volume of international trade is expected to have tripled from pre-1995 levels, according to the National Oceanic and Atmospheric Administration (NOAA), with up to 90% of it travelling by sea (McGinn, 1999).
Mining for sand, gravel, coral and minerals has been taking place in shallow waters and continental shelves for decades. Offshore drilling now supplies a substantial proportion of the world’s oil and natural gas, and the offshore industry is expected to grow significantly in the coming years (Stark &amp; Chew, 2001).
- Although marine products such as seafood, sand and oil have been valued for decades, it is only recently that we have begun to appreciate the oceans’ vital services in maintaining ecological diversity and regulating climate.
- A recent calculation, based on more than 100 studies over the past two decades, suggests that ocean services are worth US$23 trillion a year - only slightly less than the world’s total GNP.
- It is estimated that the seas and oceans supply two-thirds of the value of all the natural services provided by our natural environment (GESAMP, 2001a).
- Damage caused by the introduction of non-indigenous organisms to coastal and marine environments totals hundreds of millions of US dollars (GESAMP, 2001b).</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/benefits-of-marine-and-coastal-ecosystems-to-human-wellbeing_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>204</mapsgrida:thumbnailHeight>
<g:author>Phillippe Rekacewicz, February 2006</g:author>
<mapsgrida:descriptionnonhtml>Besides the well-known economic value of fisheries, there are several other activities generating significant revenues in coastal and marine areas. Tourism has become one of the world’s fastest growing industries, providing a significant proportion of the GDPs of many developing countries. Small island states are particularly reliant on coastal and marine tourism. In the Caribbean, for example, the industry accounts for a quarter of the total economy, and a fifth of all jobs. However, the very areas that attract tourists are also coming under increasing pressure from the damage and pollution caused by tourist facilities and the supporting infrastructure (GESAMP, 2001a).
The world’s oceans also provide for a global shipping industry, which has recorded significant growth in recent years. By 2020, the volume of international trade is expected to have tripled from pre-1995 levels, according to the National Oceanic and Atmospheric Administration (NOAA), with up to 90% of it travelling by sea (McGinn, 1999).
Mining for sand, gravel, coral and minerals has been taking place in shallow waters and continental shelves for decades. Offshore drilling now supplies a substantial proportion of the world’s oil and natural gas, and the offshore industry is expected to grow significantly in the coming years (Stark &amp; Chew, 2001).
- Although marine products such as seafood, sand and oil have been valued for decades, it is only recently that we have begun to appreciate the oceans’ vital services in maintaining ecological diversity and regulating climate.
- A recent calculation, based on more than 100 studies over the past two decades, suggests that ocean services are worth US$23 trillion a year - only slightly less than the world’s total GNP.
- It is estimated that the seas and oceans supply two-thirds of the value of all the natural services provided by our natural environment (GESAMP, 2001a).
- Damage caused by the introduction of non-indigenous organisms to coastal and marine environments totals hundreds of millions of US dollars (GESAMP, 2001b).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/benefits-of-marine-and-coastal-ecosystems-to-human-wellbeing_004.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>marine</g:label>
<g:label>coastal</g:label>
<g:label>ecosystems</g:label>
<g:label>human</g:label>
<g:label>well-being</g:label>
<g:label>fisheries</g:label>
<g:label>marine</g:label>
<g:label>industries</g:label>
<g:label>proportion</g:label>
<dc:contributor>Phillippe Rekacewicz, February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Anne Platt McGinn, The Health of Oceans, World Watch paper 145, Worldwatch Institute, 1999, Washington DC (www.worldwatch.org); Costanza, R. et al, the Value of the World’s Ecosystem Services and Natural Capital, Ecological Economics, 1998; World Tourism Organization; United Nations Conference on Trade and Development (UNCTAD).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Besoin de ressources en eau pour la production alimentaire </title>
<link>http://maps.grida.no/go/graphic/besoin-de-ressources-en-eau-pour-la-production-alimentaire</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Variations historiques et projetées de la consommation d’eau pour la production alimentaire, 1960-2050</description>
<pubDate>Mon, 08 Jun 2009 17:53:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/besoin-de-ressources-en-eau-pour-la-production-alimentaire_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>176</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Variations historiques et projetées de la consommation d’eau pour la production alimentaire, 1960-2050</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/besoin-de-ressources-en-eau-pour-la-production-alimentaire_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/16E63CD7-F8E1-B291-88E8-799728F37997</guid>
<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Stockholm Environment Institute. 2005. Sustainable Pathways to Attain the Millennium Development Goals - Assessing the Key Role of Water, Energy and Sanitation. http://www.sei.se/SustMDG31Auglowres.pdf (accessed October 3, 2006)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biodiveristy in Central Asia</title>
<link>http://maps.grida.no/go/graphic/biodiveristy-in-central-asia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Caspian and Balkhash endemic species are under threat of extinction. It is estimated that ten percent of total area needs to be protected in order to sustain development and the countries of the region are seriously behind that benchmark.</description>
<pubDate>Wed, 15 Feb 2006 19:45:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_biodiveristy_in_central_asia_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>308</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Caspian and Balkhash endemic species are under threat of extinction. It is estimated that ten percent of total area needs to be protected in order to sustain development and the countries of the region are seriously behind that benchmark.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biodiveristy_in_central_asia_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B04AE652-FC37-14A9-00EA-1040CE0B0990</guid>
<g:label>geocasia</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>biodiversity</g:label>
<g:label>extinction</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Environmental profiles for Afghanistan and other Central Asian countries, World Resources Institute; Regional report assessing the implementation of Agenda 21 in Central Asian countries, UNDP Aral Sea Basin Capacity Development Project for Central Asia, Tashkent, 2001</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biodiveristy in Central Asia [Russian]</title>
<link>http://maps.grida.no/go/graphic/biodiveristy-in-central-asia-russian</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Caspian and Balkhash endemic species are under threat of extinction. It is estimated that ten percent of total area needs to be protected in order to sustain development and the countries of the region are seriously behind that benchmark. In Russian.</description>
<pubDate>Wed, 15 Feb 2006 19:54:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_biodiveristy_in_central_asia_russian_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>308</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Caspian and Balkhash endemic species are under threat of extinction. It is estimated that ten percent of total area needs to be protected in order to sustain development and the countries of the region are seriously behind that benchmark. In Russian.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biodiveristy_in_central_asia_russian_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EBBC79D2-1017-9FC8-01C4-131705F1E369</guid>
<g:label>geocasia</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>biodiversity</g:label>
<g:label>extinction</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Environmental profiles for Afghanistan and other Central Asian countries, World Resources Institute; Regional report assessing the implementation of Agenda 21 in Central Asian countries, UNDP Aral Sea Basin Capacity Development Project for Central Asia, Tashkent, 2001</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biodiversité, par rapport à l’abondance des espèces avant les impacts anthropiques</title>
<link>http://maps.grida.no/go/graphic/biodiversit-par-rapport-l-abondance-des-esp-ces-avant-les-impacts-anthropiques</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Déperdition de la biodiversité du fait de l’expansion agricole continue, de la pollution, du changement climatique et du développement des infrastructures.</description>
<pubDate>Mon, 08 Jun 2009 18:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biodiversit-par-rapport-l-abondance-des-esp-ces-avant-les-impacts-anthropiques_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>237</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Déperdition de la biodiversité du fait de l’expansion agricole continue, de la pollution, du changement climatique et du développement des infrastructures.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biodiversit-par-rapport-l-abondance-des-esp-ces-avant-les-impacts-anthropiques_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13875D5B-1112-93C1-6B0D-136D964F3528</guid>
<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>GLOBIO
Alkemade et coll., 2009
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biodiversity and protected areas in Macedonia</title>
<link>http://maps.grida.no/go/graphic/biodiversity_and_protected_areas_in_macedonia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>A map of Macedonia showing all the protected areas, national parks natural reserves. The industry sector is the main polluter in Macedonia. The primary reasons for industrial pollution are the old, inefficient
technologies, inadequate control of waste, and insufficient equipment for environment protection. The most serious problems in the country are the quality of
air in Veles, Bitola, and Skopje; the pollution of surface waters (as a result of discharging untreated waste waters), and the inadequate treatment of the solid and hazardous waste.
</description>
<pubDate>Tue, 25 Apr 2006 08:58:59 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/batch1tn_macebiod.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>193</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>A map of Macedonia showing all the protected areas, national parks natural reserves. The industry sector is the main polluter in Macedonia. The primary reasons for industrial pollution are the old, inefficient
technologies, inadequate control of waste, and insufficient equipment for environment protection. The most serious problems in the country are the quality of
air in Veles, Bitola, and Skopje; the pollution of surface waters (as a result of discharging untreated waste waters), and the inadequate treatment of the solid and hazardous waste.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/batch1macebiod.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E0A11AF5-1E05-418A-B2C8-BE7D8509987D</guid>
<g:label>MK</g:label>
<g:label>Balkans</g:label>
<g:label>Macedonia</g:label>
<g:label>environment</g:label>
<g:label>pollution</g:label>
<g:label>biodiversity</g:label>
<g:label>deforestation</g:label>
<g:label>sustainable development</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>MK</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>National Environmental Action Plan, Synthesis Report, FYR of Macedonia, 1997; Department of Public Information of the United Nations (UNDPI), Cartographic Section, New York.</dc:source>
<geo:lat>41</geo:lat>
<geo:long>21.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>40 20</gml:lowerCorner>
<gml:upperCorner>42 23</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biodiversity in the Caspian Sea (Approximate numbers)</title>
<link>http://maps.grida.no/go/graphic/biodiversity-in-the-caspian-sea-approximate-numbers</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The region presents a wealth of opportunities in other areas, including bioresources, transport corridors, and not least ecotourism. These new ventures may bring increased prosperity, but they also put pressure on traditional rural communities and the environment. This graphic presents the number of species in the groups: phytoplankton, zooplankton, zoobenthos, fishes, marine and land mammals and birds.</description>
<pubDate>Fri, 14 Mar 2008 09:53:56 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biodiversity-in-the-caspian-sea-approximate-numbers_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>190</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The region presents a wealth of opportunities in other areas, including bioresources, transport corridors, and not least ecotourism. These new ventures may bring increased prosperity, but they also put pressure on traditional rural communities and the environment. This graphic presents the number of species in the groups: phytoplankton, zooplankton, zoobenthos, fishes, marine and land mammals and birds.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biodiversity-in-the-caspian-sea-approximate-numbers_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1268B519-169A-AE98-A354-934129D8B7F3</guid>
<g:label>caspiansea</g:label>
<g:label>biodiversity</g:label>
<g:label>environment</g:label>
<g:label>species</g:label>
<g:label>ecosystems</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caspiansea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Transboundary Diagnostic Analysis of the Caspian Sea, The Caspian Environment Programme, 2002</dc:source>
<geo:lat>41.5</geo:lat>
<geo:long>51</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 47</gml:lowerCorner>
<gml:upperCorner>47 55</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biodiversity loss: state and scenarios 2006 and 2050</title>
<link>http://maps.grida.no/go/graphic/biodiversity-loss-state-and-scenarios-2006-and-2050</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>These projections of biodiversity loss from 2000 to 2050 were produced by the GLOBIO consortium for UNEP's Global Environment Outlook 4. Across the GEO scenarios and regions, global biodiversity continues to be threatened, with strong implications for ecosystem services and human well-being. All regions continue to experience declines in terrestrial biodiversity in each of the scenarios. The greatest losses are seen in Markets First, followed by Security First, Policy First and Sustainability First for most regions. Africa, and Latin America and the Caribbean experience the greatest losses of terrestrial biodiversity by 2050 in all four scenarios, followed by Asia and the Pacific. The differences among the regions are largely a result of broad-scale land-use changes, especially increases in pastureland and areas dedicated to biofuel production. The overall changes in terrestrial biodiversity though, are influenced by a number of other factors, including infrastructure development, pollution and climate change, as well as public policy and conflict. For the full report, please see http://www.unep.org/geo/geo4</description>
<pubDate>Thu, 25 Oct 2007 16:31:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biodiversity-loss-state-and-scenarios-2006-and-2050.gif</photo:thumbnail>
<mapsgrida:thumbnailWidth>210</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>209</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>These projections of biodiversity loss from 2000 to 2050 were produced by the GLOBIO consortium for UNEP&apos;s Global Environment Outlook 4. Across the GEO scenarios and regions, global biodiversity continues to be threatened, with strong implications for ecosystem services and human well-being. All regions continue to experience declines in terrestrial biodiversity in each of the scenarios. The greatest losses are seen in Markets First, followed by Security First, Policy First and Sustainability First for most regions. Africa, and Latin America and the Caribbean experience the greatest losses of terrestrial biodiversity by 2050 in all four scenarios, followed by Asia and the Pacific. The differences among the regions are largely a result of broad-scale land-use changes, especially increases in pastureland and areas dedicated to biofuel production. The overall changes in terrestrial biodiversity though, are influenced by a number of other factors, including infrastructure development, pollution and climate change, as well as public policy and conflict. For the full report, please see http://www.unep.org/geo/geo4</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biodiversity-loss-state-and-scenarios-2006-and-2050.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5B4C0655-7545-1072-C25B-71E1497EEA63</guid>
<g:label>global</g:label>
<g:label>biodiversity</g:label>
<g:label>scenarios</g:label>
<g:label>wildlife</g:label>
<g:label>conservation</g:label>
<g:label>natural capital</g:label>
<g:label>nature</g:label>
<g:label>agriculture</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>GLOBIO 3 analysis, by MNP, UNEP-WCMC and UNEP/GRID-Arendal, published in: UNEP. 2007. Global Environment Outlook 4 - Environment For Development. Nairobi, Kenya: UNEP.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biodiversity threats</title>
<link>http://maps.grida.no/go/graphic/biodiversity-threats</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>South Africa is recognised as the third most megadiverse
country in the world. The abundance of biodiversity found
within its borders covers an estimated ten per cent of the
world’s plant species, seven per cent of all bird, six per cent of all mammal, and five per cent of all reptile species found on the planet. Due to various causes ranging from unsustainable land use and farming practices, to invasion by alien species and climate change, South Africa’s ecosystems are under considerable pressure, much of which is directly or indirectly linked to poverty.</description>
<pubDate>Wed, 22 Jun 2011 08:55:39 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biodiversity-threats_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>172</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>South Africa is recognised as the third most megadiverse
country in the world. The abundance of biodiversity found
within its borders covers an estimated ten per cent of the
world’s plant species, seven per cent of all bird, six per cent of all mammal, and five per cent of all reptile species found on the planet. Due to various causes ranging from unsustainable land use and farming practices, to invasion by alien species and climate change, South Africa’s ecosystems are under considerable pressure, much of which is directly or indirectly linked to poverty.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biodiversity-threats_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EFF48E2E-1305-17E0-E924-EF786FE23A93</guid>
<g:label>geoafrica</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>DEAT-SOE database, accessed in December 2010.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biofuel production</title>
<link>http://maps.grida.no/go/graphic/biofuel-production2</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Thousand million litres per year</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biofuel-production_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>192</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Thousand million litres per year</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biofuel-production_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B1D1239B-CB54-FA38-56E4-C06A4BA6F269</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biofuel production</title>
<link>http://maps.grida.no/go/graphic/biofuel-production1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>With a further surge in demand ahead of us it is worth looking at ways to ensure a sustainable production of energy corps.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biofuel-production_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>159</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>With a further surge in demand ahead of us it is worth looking at ways to ensure a sustainable production of energy corps.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biofuel-production_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11E3C16D-16BF-162F-9334-E57E3C9D677B</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EarthTrends Environmental Information Portal, World Resources Institute, 2007 (using Worldwatch 2006; US Department of Energy, 2006); REN21, Renewables 2006 globl status report, Worldwatch Institute; F.O. Licht world ethanol &amp; biofuels report 2005.</dc:source>
<geo:lat>0</geo:lat>
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</item>
<item>
<title>Biofuel Production</title>
<link>http://maps.grida.no/go/graphic/biofuel-production</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The plants grown for biofuel production absorb CO2 from the atmosphere and combustion of the biofuel releases only the CO2 previously absorbed by the plant.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biofuel-production_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>187</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The plants grown for biofuel production absorb CO2 from the atmosphere and combustion of the biofuel releases only the CO2 previously absorbed by the plant.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biofuel-production_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/681EF2D8-1265-FC4E-7C90-13B00878B60A</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
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</item>
<item>
<title>Biofuel production Map</title>
<link>http://maps.grida.no/go/graphic/biofuel-production-map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Global map about Biofuel production</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biofuel-production-map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>170</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Global map about Biofuel production</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biofuel-production-map.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D1A9CB6A-1459-815E-4CC6-14DB0686D90D</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EarthTrends Environmental
Information Portal, World Resources Institute, 2007 (using Worldwatch 2006; US Department of Energy, 2006); REN21, Renewables 2006 global status report, Worldwatch Institute; F. O. Licht world ethanol &amp; biofuels report 2005.</dc:source>
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</item>
<item>
<title>Biofuel versus fossil fuel</title>
<link>http://maps.grida.no/go/graphic/biofuel-versus-fossil-fuel1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>About Biofuel versus fossil fuel</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biofuel-versus-fossil-fuel_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>186</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>About Biofuel versus fossil fuel</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biofuel-versus-fossil-fuel_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E9859B49-E0E0-7523-B766-B668A7BF80D3</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Emmanuelle Bournay, Atlas Environnement du Monde Diplomatique 2007.</dc:source>
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<geo:long>0</geo:long>
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</georss:where>
</item>
<item>
<title>Biofuel versus fossil fuel</title>
<link>http://maps.grida.no/go/graphic/biofuel-versus-fossil-fuel</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In green: virtuous initial equation in favour of biofuels, In red: main concerns related to biofuels, In blue: main concerns related to fossil fuels.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biofuel-versus-fossil-fuel_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>186</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In green: virtuous initial equation in favour of biofuels, In red: main concerns related to biofuels, In blue: main concerns related to fossil fuels.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biofuel-versus-fossil-fuel.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1559169B-CE24-6F57-B08E-CB0A0F6B5712</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Emmanuelle Bournay, Atlas Environnement du monde Diplopmatique 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
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<gml:upperCorner>90 180</gml:upperCorner>
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<item>
<title>Biofuels production 1975-2005 (ethanol and biodiesel)</title>
<link>http://maps.grida.no/go/graphic/biofuels-production-1975-2005-ethanol-and-biodiesel</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Biofuels have grown quickly in demand and production (Figure
14), fuelled by high oil prices and the initial perception of their
role in reducing CO2 emissions (FAO, 2008). Biofuels, including
biodiesel from palm oil and ethanol from sugarcane, corn
and soybean, accounted for about 1% of the total road transport
in 2005, and may reach 25% by 2050, with the EU having
set targets as high as 10% by 2020 (World Bank, 2007; FAO,
2008). For many countries, such as Indonesia and Malaysia,
biofuels are also seen as an opportunity to improve rural livelihoods
and boost the economy through exports (Fitzherbert et
al., 2008; UNEP, 2008). The US is the largest producer and
consumer of bioethanol, followed by Brazil (Figure 15) (World Bank, 2007; FAO, 2008). Brazil has now used 2.7 million has of land area for this production (4.5% of the cropland area),mainly sugar cane.</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biofuels-production-1975-2005-ethanol-and-biodiesel_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>242</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Biofuels have grown quickly in demand and production (Figure
14), fuelled by high oil prices and the initial perception of their
role in reducing CO2 emissions (FAO, 2008). Biofuels, including
biodiesel from palm oil and ethanol from sugarcane, corn
and soybean, accounted for about 1% of the total road transport
in 2005, and may reach 25% by 2050, with the EU having
set targets as high as 10% by 2020 (World Bank, 2007; FAO,
2008). For many countries, such as Indonesia and Malaysia,
biofuels are also seen as an opportunity to improve rural livelihoods
and boost the economy through exports (Fitzherbert et
al., 2008; UNEP, 2008). The US is the largest producer and
consumer of bioethanol, followed by Brazil (Figure 15) (World Bank, 2007; FAO, 2008). Brazil has now used 2.7 million has of land area for this production (4.5% of the cropland area),mainly sugar cane.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biofuels-production-1975-2005-ethanol-and-biodiesel.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F58BF695-104B-115C-B048-8D4D72C86A25</guid>
<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Earth Policy Institute. 2006. Data files for Supermarkets and Service Stations Now Competing for Grain. http://www.earth-policy.org/Updates/2006/Update55_data.htm (Accessed November 17, 2008)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biofuels production 2005, by country (ethanol and biodiesel)</title>
<link>http://maps.grida.no/go/graphic/biofuels-production-2005-by-country-ethanol-and-biodiesel</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Production of crops for biofuels also competes with food production
(Banse et al., 2008). Indeed, the corn equivalent of the
energy used on a few minutes drive could feed a person for a
day, while a full tank of ethanol in a large 4-wheel drive suburban
utility vehicle could almost feed one person for a year. A
recent OECD-FAO (2007) report expected food prices to rise
by between 20% and 50% by 2016 partly as a result of biofuels.
Already, drastically raised food prices have resulted in violent
demonstrations and protests around the world in early 2008.
Current OECD scenarios by the IMAGE model project a mean
increase in the proportion of land allocated to crops for biofuel
production equivalent to 0.5% of the cropland area in 2008,
2% by 2030 (range 1–3%) and 5% by 2050 (range 2–8%).</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biofuels-production-2005-by-country-ethanol-and-biodiesel_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>221</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Production of crops for biofuels also competes with food production
(Banse et al., 2008). Indeed, the corn equivalent of the
energy used on a few minutes drive could feed a person for a
day, while a full tank of ethanol in a large 4-wheel drive suburban
utility vehicle could almost feed one person for a year. A
recent OECD-FAO (2007) report expected food prices to rise
by between 20% and 50% by 2016 partly as a result of biofuels.
Already, drastically raised food prices have resulted in violent
demonstrations and protests around the world in early 2008.
Current OECD scenarios by the IMAGE model project a mean
increase in the proportion of land allocated to crops for biofuel
production equivalent to 0.5% of the cropland area in 2008,
2% by 2030 (range 1–3%) and 5% by 2050 (range 2–8%).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biofuels-production-2005-by-country-ethanol-and-biodiesel.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13532893-1270-C18D-1B3B-10C273CCA3EE</guid>
<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Earth Policy Institute. 2006. Data files for Supermarkets and Service Stations Now Competing for Grain. http://www.earth-policy.org/Updates/2006/Update55_data.htm (Accessed November 17, 2008)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biological oxygen demand - BOD: 1976-2008</title>
<link>http://maps.grida.no/go/graphic/biological-oxygen-demand-bod-1976-2008</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Phillippe Rekacewicz, February 2006</mapsgrida:designer>
<description>The availability of oxygen is one of the most important indicators of the condition of a water body, because dissolved oxygen, or DO, (the amount of oxygen dissolved in water) is necessary for most aquatic organisms, including fish and invertebrates. Some species have very defined lower limits of DO that they can tolerate. Increases in DO can indicate improvements in water quality, such as has occurred in many parts of the world in the last 30 years.
Over the two decades, rivers in Europe and Australasia have shown a significant statistical reduction in biological oxygen demand concentrations, (an indicator of the organic pollution of freshwater), suggesting positive trends. There was no change in the assessed results for North America, although there was a tighter data distribution, indicating the data available for 1991-2000 is less variable than for previous periods.</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biological-oxygen-demand-bod-1976-2008_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>116</mapsgrida:thumbnailHeight>
<g:author>Phillippe Rekacewicz, February 2006</g:author>
<mapsgrida:descriptionnonhtml>The availability of oxygen is one of the most important indicators of the condition of a water body, because dissolved oxygen, or DO, (the amount of oxygen dissolved in water) is necessary for most aquatic organisms, including fish and invertebrates. Some species have very defined lower limits of DO that they can tolerate. Increases in DO can indicate improvements in water quality, such as has occurred in many parts of the world in the last 30 years.
Over the two decades, rivers in Europe and Australasia have shown a significant statistical reduction in biological oxygen demand concentrations, (an indicator of the organic pollution of freshwater), suggesting positive trends. There was no change in the assessed results for North America, although there was a tighter data distribution, indicating the data available for 1991-2000 is less variable than for previous periods.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biological-oxygen-demand-bod-1976-_011.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1008F2D0-14BD-7B7A-76A5-136B548282ED</guid>
<g:label>global</g:label>
<g:label>oxygen</g:label>
<g:label>condition</g:label>
<g:label>aquatic</g:label>
<g:label>organizms</g:label>
<g:label>fish</g:label>
<g:label>invertebrates</g:label>
<g:label>species</g:label>
<g:label>biological</g:label>
<g:label>energy demand</g:label>
<dc:contributor>Phillippe Rekacewicz, February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Global Environment Monitoring System (GEMS), Freshwater Quality Programme, United Nations Environment Programme (UNEP), 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Biotechnology and modern biotechnology defined</title>
<link>http://maps.grida.no/go/graphic/biotechnology-and-modern-biotechnology-defined</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Modern biotechnology is a term adopted by international convention to refer to biotechnological techniques for the manipulation of genetic material and the fusion of cells beyond normal breeding barriers. The most obvious example is genetic engineering to create genetically modified/engineered organisms (GMOs/GEOs) through “transgenic technology” involving the
insertion or deletion of genes.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/biotechnology-and-modern-biotechnology-defined_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>150</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Modern biotechnology is a term adopted by international convention to refer to biotechnological techniques for the manipulation of genetic material and the fusion of cells beyond normal breeding barriers. The most obvious example is genetic engineering to create genetically modified/engineered organisms (GMOs/GEOs) through “transgenic technology” involving the
insertion or deletion of genes.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/biotechnology-and-modern-biotechnology-defined_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B9D85E99-D4C3-124C-D41C-CD13A3D47164</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>biotechnology</g:label>
<g:label>cultivation</g:label>
<g:label>genetically modified organism</g:label>
<g:label>GMO</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Black Carbon Emissions</title>
<link>http://maps.grida.no/go/graphic/black-carbon-emissions</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Combustion sources of black carbon. Black carbon is thought to be the second largest contributor to global warming, next to brown carbon (the gases). Thus, reducing black carbon emission represents one of the most efficient ways for mitigating global warming that we know today.</description>
<pubDate>Wed, 14 Oct 2009 12:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/black-carbon-emissions_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>170</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Combustion sources of black carbon. Black carbon is thought to be the second largest contributor to global warming, next to brown carbon (the gases). Thus, reducing black carbon emission represents one of the most efficient ways for mitigating global warming that we know today.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/black-carbon-emissions_005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C6DE091E-6648-EE61-7A95-E5A45CF239FC</guid>
<g:label>global</g:label>
<g:label>Blue</g:label>
<g:label>Carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Bond et al., 2000.
Dennis Clare, State of the World 2009, www.worldwatch.org</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Black Sea pipelines</title>
<link>http://maps.grida.no/go/graphic/black_sea_pipelines_giwa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:20 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/black_sea_pipelines_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>109</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/black_sea_pipelines_giwa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/90F6AAFB-BF2D-4486-AE16-05390FCB1E78</guid>
<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>pipelines</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>37 22</gml:lowerCorner>
<gml:upperCorner>50 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Black Sea water indicators</title>
<link>http://maps.grida.no/go/graphic/black_sea_water_indicators_giwa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:22 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/black_sea_water_indicators_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>296</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/black_sea_water_indicators_giwa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E7E06725-47F0-4645-9872-02966E2E748F</guid>
<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>water indicators</g:label>
<g:label>water resources</g:label>
<g:label>pollution</g:label>
<g:label>organic pollutants</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Resources Institute (WRI) Washington DC.</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>37 22</gml:lowerCorner>
<gml:upperCorner>50 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Blue Carbon Sink Burial Rates a)</title>
<link>http://maps.grida.no/go/graphic/blue-carbon-sink-burial-rates-a</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The capacity of ocean's blue carbon sinks (tons of carbon per hectare per year). </description>
<pubDate>Wed, 14 Oct 2009 12:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/blue-carbon-sink-burial-rates-a_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>134</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The capacity of ocean&apos;s blue carbon sinks (tons of carbon per hectare per year). </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/blue-carbon-sink-burial-rates-a_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1140C170-11C5-B334-13CF-11BE21910B53</guid>
<g:label>global</g:label>
<g:label>Blue</g:label>
<g:label>Carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Cebrian and Duarte, 1996; Duarte et al., 2005.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Blue Carbon Sink Burial Rates b)</title>
<link>http://maps.grida.no/go/graphic/blue-carbon-sink-burial-rates-b</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The capacity of ocean's blue carbon sinks (total annual blue carbon sink burial rates).</description>
<pubDate>Wed, 14 Oct 2009 12:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/blue-carbon-sink-burial-rates-b_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>167</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The capacity of ocean&apos;s blue carbon sinks (total annual blue carbon sink burial rates).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/blue-carbon-sink-burial-rates-b_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/94567956-13AA-154F-FD76-EC7494E88C7E</guid>
<g:label>global</g:label>
<g:label>Blue</g:label>
<g:label>Carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Cebrian and Duarte, 1996; Duarte et al., 2005.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Blue Carbon Sinks</title>
<link>http://maps.grida.no/go/graphic/blue-carbon-sinks</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The carbon captured by living organisms in oceans is stored in the form of sediments from mangroves, salt marshes and seagrasses. Benefiting from the excellent conditions available to support plant growth, vegetated coastal habitats rank amongst the most productive habitats in the world, comparable in production to the most productive agricultural crops. Blue carbon sinks are strongly autotrophic, which means that these ecosystems fix CO2 as organic matter photosyntheticaly in excess of the CO2 respired back by biota, thus removing CO2 from the atmosphere. Some of this excess carbon is exported and subsidises adjacent ecosystems, including open ocean and beach ecosystems. The remaining excess production of mangrove forests, salt-marshes and seagrass meadows is buried in the sediments, where it can remain stored over millenary time scales, thereby representing a strong natural carbon sink.</description>
<pubDate>Wed, 14 Oct 2009 12:04:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/blue-carbon-sinks_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>148</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The carbon captured by living organisms in oceans is stored in the form of sediments from mangroves, salt marshes and seagrasses. Benefiting from the excellent conditions available to support plant growth, vegetated coastal habitats rank amongst the most productive habitats in the world, comparable in production to the most productive agricultural crops. Blue carbon sinks are strongly autotrophic, which means that these ecosystems fix CO2 as organic matter photosyntheticaly in excess of the CO2 respired back by biota, thus removing CO2 from the atmosphere. Some of this excess carbon is exported and subsidises adjacent ecosystems, including open ocean and beach ecosystems. The remaining excess production of mangrove forests, salt-marshes and seagrass meadows is buried in the sediments, where it can remain stored over millenary time scales, thereby representing a strong natural carbon sink.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/blue-carbon-sinks.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10AA27B2-1131-8418-2836-C41223E29282</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Cebrián and Duarte, 1996; Duarte et al., 2005a; and Bouillon et al., 2008.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Bor river/Timok river Watershed</title>
<link>http://maps.grida.no/go/graphic/bor-river-timok-river-watershed</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows the watershed area of the Bor and Timok rivers, and the areas potentially affected by pollution.The southeast Serbian municipality of Bor is paying a high price for the century-old industrial exploitation of its copper resources. The citizens and the municipality of Bor have recently embarked on a participatory process in order to identify and tackle their most threatening environmental problems.</description>
<pubDate>Sat, 11 Feb 2006 10:13:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/bor-river-timok-river-watershed_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>204</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows the watershed area of the Bor and Timok rivers, and the areas potentially affected by pollution.The southeast Serbian municipality of Bor is paying a high price for the century-old industrial exploitation of its copper resources. The citizens and the municipality of Bor have recently embarked on a participatory process in order to identify and tackle their most threatening environmental problems.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/bor-river-timok-river-watershed.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/DA42E15E-079C-4D4F-81D7-D3C433072BA9</guid>
<g:label>CS</g:label>
<g:label>Bor</g:label>
<g:label>Timok</g:label>
<g:label>watershed</g:label>
<g:label>pollution</g:label>
<g:label>environment</g:label>
<g:label>copper mining</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CS</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unkown</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>20.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>41 18</gml:lowerCorner>
<gml:upperCorner>46 23</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Boreal forest</title>
<link>http://maps.grida.no/go/graphic/boreal-forest</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The boreal forest biome holds the second largest stock of carbon; most of this is stored in the
soil and litter. The draining of boreal forest peatlands, inappropriate forestry practices and poor
fire management may all cause significant losses of the carbon stored in this ecosystem.</description>
<pubDate>Fri, 05 Jun 2009 00:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/boreal-forest_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>112</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The boreal forest biome holds the second largest stock of carbon; most of this is stored in the
soil and litter. The draining of boreal forest peatlands, inappropriate forestry practices and poor
fire management may all cause significant losses of the carbon stored in this ecosystem.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/boreal-forest_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/76FD94FD-9D42-D935-7F6F-C821F7ADD231</guid>
<g:label>global</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse</g:label>
<g:label>gases</g:label>
<g:label>global</g:label>
<g:label>climate</g:label>
<g:label>change</g:label>
<g:label>ecosystems</g:label>
<g:label>carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Adapted from Olson et al., 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Boreal Forest Extent</title>
<link>http://maps.grida.no/go/graphic/boreal-forest-extent</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 21:41:15 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/boreal-forest-extent_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/boreal-forest-extent.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F7EA8882-7448-11AC-1355-17BAE3F64C7C</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Botswana Ecological Footprint and Biocapacity</title>
<link>http://maps.grida.no/go/graphic/botswana-ecological-footprint-and-biocapacity</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Tue, 06 Oct 2009 09:55:08 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/botswana-ecological-footprint-and-biocapacity_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>136</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/botswana-ecological-footprint-and-biocapacity_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/108CA60B-EE79-14F6-A322-F37A2AB7F310</guid>
<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>Poverty</g:label>
<g:label>Times</g:label>
<g:label>Green</g:label>
<g:label>Economy</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Bovanenkovo gas field and impacts on reindeer herding (Yamal, Russia)</title>
<link>http://maps.grida.no/go/graphic/bovanenkovo-gas-field-and-impacts-on-reindeer-herding-yamal-russia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>A false color Quickbird-2 satellite image of a portion of the Bovanenkovo Gas Field on the Yamal Peninsula in West Siberia. Image acquired 4 July 2004. The construction phase began in the late 1980s. From that period onward there remain visible signs of extensive off-road vehicle traffic across the terrain. Many of those tracks have naturally revegetated and now appear as bright red, indicating dense grass- and sedge-dominated vegetation. The road network was built in the mid-1990s, which has reduced off-road traffic significantly. However, infrastructure blocks segments of migration routes for Nenets and their reindeer herds, and pasture quality can be negatively affected by road dust, petrochemicals, trash left on the tundra, and even feral dogs abandoned by workers.
</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/bovanenkovo-gas-field-and-impacts-on-reindeer-herding-yamal-russia_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>88</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>A false color Quickbird-2 satellite image of a portion of the Bovanenkovo Gas Field on the Yamal Peninsula in West Siberia. Image acquired 4 July 2004. The construction phase began in the late 1980s. From that period onward there remain visible signs of extensive off-road vehicle traffic across the terrain. Many of those tracks have naturally revegetated and now appear as bright red, indicating dense grass- and sedge-dominated vegetation. The road network was built in the mid-1990s, which has reduced off-road traffic significantly. However, infrastructure blocks segments of migration routes for Nenets and their reindeer herds, and pasture quality can be negatively affected by road dust, petrochemicals, trash left on the tundra, and even feral dogs abandoned by workers.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/bovanenkovo-gas-field-and-impacts-on-reindeer-herding-yamal-russia.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7B660F2E-1704-7B9C-DF04-17916ED0FD83</guid>
<g:label>russiaarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>reindeer herding</g:label>
<g:label>vegetation</g:label>
<g:label>oil</g:label>
<g:label>gas</g:label>
<g:label>hydrocarbons</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>russiaarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Forbes, B.C., Arctic Centre, University of Lapland. pers. comm. 2009.</dc:source>
<geo:lat>66.5</geo:lat>
<geo:long>103.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>50 27</gml:lowerCorner>
<gml:upperCorner>83 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Brazilian alcohol transport fleet and regional climate benefits</title>
<link>http://maps.grida.no/go/graphic/brazilian-alcohol-transport-fleet-and-regional-climate-benefits</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>In Brazil there are noticeable benefits for using alcohol as a fuel over traditional gasoline. This graphic illustrates the reduction in use of fossil fuels (gasoline) in favor of ethanol/alcohol. This has lead to a reduction in emissions of CO2 emissions, as illustrated by the bottom chart.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_14.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>104</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In Brazil there are noticeable benefits for using alcohol as a fuel over traditional gasoline. This graphic illustrates the reduction in use of fossil fuels (gasoline) in favor of ethanol/alcohol. This has lead to a reduction in emissions of CO2 emissions, as illustrated by the bottom chart.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/14.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/DC359352-FF9A-432F-ADA2-D362D778F113</guid>
<g:label>BR</g:label>
<g:label>fuel</g:label>
<g:label>alcohol</g:label>
<g:label>gas</g:label>
<g:label>CO2</g:label>
<g:label>Brazil</g:label>
<g:label>transportation</g:label>
<g:label>ethanol</g:label>
<g:label>biofuels</g:label>
<g:label></g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>BR</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Federal University of Rio de Janeiro</dc:source>
<geo:lat>-14</geo:lat>
<geo:long>-54</geo:long>
<georss:where>
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<gml:lowerCorner>-33 -74</gml:lowerCorner>
<gml:upperCorner>5 -34</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Breakdown of Carbon Storage by Region</title>
<link>http://maps.grida.no/go/graphic/breakdown-of-carbon-storage-by-region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Forests absorb carbon through
photosynthesis and sequester
it as biomass, thus creating
a natural storage of carbon. Carbon stocks in forest areas comprise
carbon in living and dead organic
matter both above and below ground
including trees, the understorey, dead
wood, litter and soil.</description>
<pubDate>Thu, 08 Oct 2009 16:31:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/breakdown-of-carbon-storage-by-region_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>58</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Forests absorb carbon through
photosynthesis and sequester
it as biomass, thus creating
a natural storage of carbon. Carbon stocks in forest areas comprise
carbon in living and dead organic
matter both above and below ground
including trees, the understorey, dead
wood, litter and soil.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/breakdown-of-carbon-storage-by-region_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO 2006a</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Bulgaria emissions of greenhouse gases (CO2, CH4, N2O) 1990 and 2010 projections</title>
<link>http://maps.grida.no/go/graphic/bulgaria_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/bulgaria_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>196</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/bulgaria_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections.jpg</g:image_link>
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<g:label>BG</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>methane</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>BG</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>42.5</geo:lat>
<geo:long>25</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>41 22</gml:lowerCorner>
<gml:upperCorner>44 28</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Bulgaria, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/bulgaria_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Bulgaria. Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop6_total_greenhouse_gas_emissions_bulgaria_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Bulgaria. Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop6_total_greenhouse_gas_emissions_bulgaria.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/415C684E-D8F6-4B3F-8327-41D394BC69F4</guid>
<g:label>BG</g:label>
<g:label>cop7</g:label>
<g:label>Bulgaria</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<g:label></g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>BG</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Actual emissions UNFCCC/SB1/2000/11 table B.1
Projected emissions UNFCCC/1998/Add.2 table C.6</dc:source>
<geo:lat>42.5</geo:lat>
<geo:long>25</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>41 22</gml:lowerCorner>
<gml:upperCorner>44 28</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Bulgaria, topographic map</title>
<link>http://maps.grida.no/go/graphic/bulgaria_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Bulgaria, a country in Eastern Europe, is inhabited by 7.5 million people. The capital is Sofia. Current environmental issues are, according to the CIA factbook: air pollution from industrial emissions; rivers polluted from raw sewage, heavy metals, detergents; deforestation; forest damage from air pollution and resulting acid rain; soil contamination from heavy metals from metallurgical plants and industrial wastes.</description>
<pubDate>Tue, 21 Mar 2006 08:15:34 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/bulgaria_topographic_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>164</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Bulgaria, a country in Eastern Europe, is inhabited by 7.5 million people. The capital is Sofia. Current environmental issues are, according to the CIA factbook: air pollution from industrial emissions; rivers polluted from raw sewage, heavy metals, detergents; deforestation; forest damage from air pollution and resulting acid rain; soil contamination from heavy metals from metallurgical plants and industrial wastes.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/bulgaria_topographic_map_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/919EBEBE-13B8-FEE2-CCF8-A6971A11D72A</guid>
<g:label>BG</g:label>
<g:label>bulgaria</g:label>
<g:label>topography</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>BG</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>42.733885</geo:lat>
<geo:long>25.48521</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>41.24305 22.36528</gml:lowerCorner>
<gml:upperCorner>44.22472 28.60514</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Bushmeat trade in Tshuapa-Lomami-Lualaba Region</title>
<link>http://maps.grida.no/go/graphic/bushmeat-trade-in-tshuapa-lomami-lualaba-region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Hunting inside protected areas to supply bush- meat is extensive in many regions, and much is transported by bicycle to i.e. larger towns like Kindu. The great apes, sometimes smoked, constitute up to several percent of the total bushmeat, but with devastating impacts on the great ape populations with their slow reproductive rates and complex social structure.</description>
<pubDate>Wed, 17 Mar 2010 18:10:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/bushmeat-trade-in-tshuapa-lomami-lualaba-region_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Hunting inside protected areas to supply bush- meat is extensive in many regions, and much is transported by bicycle to i.e. larger towns like Kindu. The great apes, sometimes smoked, constitute up to several percent of the total bushmeat, but with devastating impacts on the great ape populations with their slow reproductive rates and complex social structure.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/bushmeat-trade-in-tshuapa-lomami-lualaba-region_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/169D72AC-CD0A-DE1D-B673-17F53D885069</guid>
<g:label>global</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Terese Hart, The Bushmeat Crisis in Maniema Province , www.bonoboincongo.org, 2009; UCL Geomatics, 2006.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Calcium levels in major rivers</title>
<link>http://maps.grida.no/go/graphic/calcium_levels_in_major_rivers</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic shows the average calcium levels, in milligrams per litre, at major river mouths for the time periods 1976 to 1990 and 1991 to 2000. The graphic also shows the changes in average calcium levels between these two time periods.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/calcium_levels_in_major_rivers_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>84</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic shows the average calcium levels, in milligrams per litre, at major river mouths for the time periods 1976 to 1990 and 1991 to 2000. The graphic also shows the changes in average calcium levels between these two time periods.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/calcium_levels_in_major_rivers.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/94F326F4-E6E9-46F1-BAEC-6FE12803D4C1</guid>
<g:label>global</g:label>
<g:label>calcium</g:label>
<g:label>rivers</g:label>
<g:label>basins</g:label>
<g:label>freshwater</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP- Global Environment Monitoring System (GEMS) Water Programme, 2001; National Water Research Institute Environment Canada, Ontario, 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Calorie consumption in selected regions of the world (1975-1995)</title>
<link>http://maps.grida.no/go/graphic/calorie-consumption-in-selected-regions-of-the-world-1975-1995</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Most of the world has increased in daily calorie intake expcet for Europe and Central Asia. This graph is comparing per-capita calorie consumption in North America, Europe and Central Asia, Africa, and the world average from 1975-1995.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/calorie-consumption-in-selected-regions-of-the-world-1975-1995_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>153</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Most of the world has increased in daily calorie intake expcet for Europe and Central Asia. This graph is comparing per-capita calorie consumption in North America, Europe and Central Asia, Africa, and the world average from 1975-1995.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/calorie-consumption-in-selected-regions-of-the-world-1975-1995.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C10236CD-A17A-41A4-9E9C-FBB8B648665D</guid>
<g:label>global</g:label>
<g:label>poverty</g:label>
<g:label>nutrition</g:label>
<g:label>Developing countries</g:label>
<g:label>Food production</g:label>
<g:label>Agriculture</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank; United Nations Development Programme (UNDP); World Resources Institute (WRI); United Nations Environment Programme (UNEP) 1998; FAOSTAT 1997</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Can the Aral Sea produce enough food?</title>
<link>http://maps.grida.no/go/graphic/can-the-aral-sea-produce-enough-food</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Aral Sea is facing a challenge in producing enough food for the surrounding area. In all predictive models of climate change rate the region will be in for hard times when it comes to producing food by the year 2020.</description>
<pubDate>Wed, 15 Feb 2006 17:34:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_can_the_aral_sea_produce_enough_food_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>307</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Aral Sea is facing a challenge in producing enough food for the surrounding area. In all predictive models of climate change rate the region will be in for hard times when it comes to producing food by the year 2020.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/can_the_aral_sea_produce_enough_food_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A2B8B919-1124-9451-A020-F09D1817FBA0</guid>
<g:label>aralsea</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>agriculture</g:label>
<g:label>food</g:label>
<g:label>economy</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>aralsea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Sorokin D., Sorokin A., Report on the work conducted for the application of the hydrological model towards the assessment of scenarios of the Aral Sea basin development; Ruzlev A., Prikhod’ko V., Application of the Aral Sea Basin Management Model towards specific plans of the Aral Sea basin development, UNDP and SIC ICWC, Tashkent, 2001
</dc:source>
<geo:lat>45</geo:lat>
<geo:long>66.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 53</gml:lowerCorner>
<gml:upperCorner>54 80</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Can the Aral Sea produce enough food? [Russian]</title>
<link>http://maps.grida.no/go/graphic/can-the-aral-sea-produce-enough-food-russian</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Aral Sea is facing a challenge in producing enough food for the surrounding area. In all predictive models of climate change rate the region will be in for hard times when it comes to producing food by the year 2020. In Russian.</description>
<pubDate>Wed, 15 Feb 2006 19:57:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_can_the_aral_sea_produce_enough_food_russian_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>307</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Aral Sea is facing a challenge in producing enough food for the surrounding area. In all predictive models of climate change rate the region will be in for hard times when it comes to producing food by the year 2020. In Russian.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/can_the_aral_sea_produce_enough_food_russian_001.jpg</g:image_link>
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<g:label>aralsea</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>agriculture</g:label>
<g:label>food</g:label>
<g:label>economy</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>aralsea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Sorokin D., Sorokin A., Report on the work conducted for the application of the hydrological model towards the assessment of scenarios of the Aral Sea basin development; Ruzlev A., Prikhod’ko V., Application of the Aral Sea Basin Management Model towards specific plans of the Aral Sea basin development, UNDP and SIC ICWC, Tashkent, 2001
</dc:source>
<geo:lat>45</geo:lat>
<geo:long>66.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 53</gml:lowerCorner>
<gml:upperCorner>54 80</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Canada emissions of greenhouse gases (CO2, CH4, N2O) 1990 and 2010 projections</title>
<link>http://maps.grida.no/go/graphic/canada_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/canada_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>196</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/canada_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/978B8D1F-2B30-4517-B48A-671828A9BB26</guid>
<g:label>CA</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>methane</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CA</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>62</geo:lat>
<geo:long>-96.5</geo:long>
<georss:where>
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<gml:upperCorner>83 -52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Canada, Arctic indigenous population</title>
<link>http://maps.grida.no/go/graphic/canada-arctic-indigenous-population</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Depending on the definition of the boundaries of the region, the Arctic is home to some 4 million inhabitants. Roughly one-third of this total population is indigenous peoples, spread over numerous communities around the Arctic. The indigenous proportion of each polar region varies significantly- from 88% of the regional population in Nunavut Territory in Canada (the Inuit), to 2.5% in the North of Scandanavia and the Kola Peninsulathat (the Saami).
Despite tremendous social and political upheaval, increasing pressure from industrial development, climate change impacts and pollution, many of these communities still maintain vibrant traditional - and sustainable- lifestyles closely linked to the natural environment.
</description>
<pubDate>Tue, 21 Mar 2006 09:07:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/canada_arctic_indigenous_population_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>123</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Depending on the definition of the boundaries of the region, the Arctic is home to some 4 million inhabitants. Roughly one-third of this total population is indigenous peoples, spread over numerous communities around the Arctic. The indigenous proportion of each polar region varies significantly- from 88% of the regional population in Nunavut Territory in Canada (the Inuit), to 2.5% in the North of Scandanavia and the Kola Peninsulathat (the Saami).
Despite tremendous social and political upheaval, increasing pressure from industrial development, climate change impacts and pollution, many of these communities still maintain vibrant traditional - and sustainable- lifestyles closely linked to the natural environment.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/canada_arctic_indigenous_population_001.jpg</g:image_link>
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<g:label>CA</g:label>
<g:label>demography</g:label>
<g:label>population</g:label>
<g:label>indigenous peoples</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CA</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>AMAP, 1997. Arctic Pollution Issues: A State of the Arctic Environment Report. Arctic monitoring and Assessment Programme (AMAP), Oslo, Norway. xii+188 pp.</dc:source>
<geo:lat>62</geo:lat>
<geo:long>-96.5</geo:long>
<georss:where>
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<gml:lowerCorner>41 -141</gml:lowerCorner>
<gml:upperCorner>83 -52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Canada, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/canada_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Canada.
Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop6_total_greenhouse_gas_emissions_canada_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Canada.
Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop6_total_greenhouse_gas_emissions_canada.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D10DE580-B08E-4CD3-BBD8-43E2C8C3444E</guid>
<g:label>CA</g:label>
<g:label>cop7</g:label>
<g:label>Canada</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<g:label></g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CA</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Actual emissions UNFCCC/SB1/2000/11 table B.1
Projected emissions UNFCCC/1998/Add.2 table C.6
</dc:source>
<geo:lat>62</geo:lat>
<geo:long>-96.5</geo:long>
<georss:where>
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<gml:upperCorner>83 -52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon cycle</title>
<link>http://maps.grida.no/go/graphic/carbon-cycle</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Living systems play a vital role in the carbon cycle. Photosynthesising organisms – mostly plants on land and various kinds of algae and bacteria in the sea – use either atmospheric carbon dioxide or that dissolved in sea water as the basis for the complex organic carbon compounds that are essential for life.</description>
<pubDate>Fri, 05 Jun 2009 00:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon-cycle_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>132</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Living systems play a vital role in the carbon cycle. Photosynthesising organisms – mostly plants on land and various kinds of algae and bacteria in the sea – use either atmospheric carbon dioxide or that dissolved in sea water as the basis for the complex organic carbon compounds that are essential for life.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon-cycle_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D7DA0875-883B-1714-73C3-164A19CFCEA2</guid>
<g:label>global</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse</g:label>
<g:label>gases</g:label>
<g:label>global</g:label>
<g:label>climate</g:label>
<g:label>change</g:label>
<g:label>ecosystems</g:label>
<g:label>carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Source: IPCC, 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon cycle</title>
<link>http://maps.grida.no/go/graphic/carbon_cycle</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Carbon is the basis of all organic substances, from fossil fuels to human cells. On Earth, carbon is continually on the move – cycling through living things, the land, ocean, atmosphere. What happens when humans start driving the carbon cycle? We have seen that we can make a serious impact – rapidly raising the level of carbon in the atmosphere. But we really have no idea what we are doing. At the moment we don’t even know what happens to all the carbon we release from burning fossil fuel. Obviously a lot of it goes into the atmosphere, but every year we loose track of between 15 and 30% (NASA). Scientists speculate that it is taken up by land vegetation, but no one really knows. This sort of uncertainty makes it doubly difficult to predict the outcome of tampering with something as complex as the carbon cycle.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon_cycle_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>154</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Carbon is the basis of all organic substances, from fossil fuels to human cells. On Earth, carbon is continually on the move – cycling through living things, the land, ocean, atmosphere. What happens when humans start driving the carbon cycle? We have seen that we can make a serious impact – rapidly raising the level of carbon in the atmosphere. But we really have no idea what we are doing. At the moment we don’t even know what happens to all the carbon we release from burning fossil fuel. Obviously a lot of it goes into the atmosphere, but every year we loose track of between 15 and 30% (NASA). Scientists speculate that it is taken up by land vegetation, but no one really knows. This sort of uncertainty makes it doubly difficult to predict the outcome of tampering with something as complex as the carbon cycle.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon_cycle_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9D44D0EF-5FF8-4F61-8FAE-62E24808F2E2</guid>
<g:label>global</g:label>
<g:label>carbon</g:label>
<g:label>carbon cycle</g:label>
<g:label>co2</g:label>
<g:label>carbon dioxide</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse gases</g:label>
<g:label>global warming</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Center for climatic research, Institute for environmental studies, univeristy of Wisconsin at Madison; Okanagan university college in Canada, Department of geopgraphy; World Watch, November-December 1998; Nature.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon Cycle</title>
<link>http://maps.grida.no/go/graphic/carbon-cycle1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Blue and green carbon process.Oceans are crucial in the global carbon cycle. It was here where life first evolved; they are the source of our wealth and development. The living oceans capture over half of all the Green carbon – the carbon bound by living organisms through photosynthesis.</description>
<pubDate>Wed, 14 Oct 2009 12:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon-cycle_thumbnail_006.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>132</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Blue and green carbon process.Oceans are crucial in the global carbon cycle. It was here where life first evolved; they are the source of our wealth and development. The living oceans capture over half of all the Green carbon – the carbon bound by living organisms through photosynthesis.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon-cycle_008.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E3792000-7232-1798-3672-861922858175</guid>
<g:label>global</g:label>
<g:label>Blue</g:label>
<g:label>Carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Duarte, C</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon Dioxide (CO2) emissions for selected African countries in 1997</title>
<link>http://maps.grida.no/go/graphic/carbon_dioxide_co2_emissions_for_selected_african_countries_in_1997</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Africa is very vulnerable to climate change given its low capacity to respond and adapt, but Africa emits relatively low amounts of greenhouse gases in comparison to other regions. This graphic shows the amount of carbon dioxide emissions per capita, in metric tonnes, in 1997 for OECD (Organisation for Economic Cooperation and Development) countries, for the world, for sub-Saharan Africa and for selected individual countries.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon_dioxide_co2_emissions_for_selected_african_countries_in_1997_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>162</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Africa is very vulnerable to climate change given its low capacity to respond and adapt, but Africa emits relatively low amounts of greenhouse gases in comparison to other regions. This graphic shows the amount of carbon dioxide emissions per capita, in metric tonnes, in 1997 for OECD (Organisation for Economic Cooperation and Development) countries, for the world, for sub-Saharan Africa and for selected individual countries.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon_dioxide_co2_emissions_for_selected_african_countries_in_1997.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/573E9D5A-CA27-4490-BDE0-86955813BEC1</guid>
<g:label>global</g:label>
<g:label>carbon dioxide emission</g:label>
<g:label>climate change</g:label>
<g:label>greenhouse gas emission</g:label>
<g:label>GHG emission</g:label>
<g:label>CO2 emission</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Human Development Report 2001, United Nations Development Programme (UNDP).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon dioxide emissions globally and from annex 1 countries (COP7)</title>
<link>http://maps.grida.no/go/graphic/carbon_dioxide_emissions_globally_and_from_annex_1_countries_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon_dioxide_emissions_globally_and_from_annex_1_countries_cop7_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>195</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon_dioxide_emissions_globally_and_from_annex_1_countries_cop7.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/74258FA9-CD8F-4EAA-B71A-9A81E917FEC5</guid>
<g:label>global</g:label>
<g:label>cop7</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>carbon dioxide</g:label>
<g:label>CO2</g:label>
<g:label>greenhouse gases</g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>International Energy Agency, World Energy Outlook 2000</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon intensity of economy: Percentage growth from 1980</title>
<link>http://maps.grida.no/go/graphic/carbon-intensity-of-economy-percentage-growth-from-1980</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The ratio of emissions to GDP in Latin America and the Caribbean remained constant between 1980 and 2005. This is very much in contrast to the world as a whole, the OECD countries and in particular when compared to China. These figures clearly show the need to intensify efforts within the region to transition to less carbon-intensive economies.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon-intensity-of-economy-percentage-growth-from-1980_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>267</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The ratio of emissions to GDP in Latin America and the Caribbean remained constant between 1980 and 2005. This is very much in contrast to the world as a whole, the OECD countries and in particular when compared to China. These figures clearly show the need to intensify efforts within the region to transition to less carbon-intensive economies.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon-intensity-of-economy-percentage-growth-from-_989.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/92B20688-C905-1068-23BA-138F1D881FC9</guid>
<g:label>geolameric</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Economic Commission for Latin America and the Caribbean (ECLAC) elaboration of World Resource Institute-CAIT database.</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon intensity of energy use: Percentage growth from 1980</title>
<link>http://maps.grida.no/go/graphic/carbon-intensity-of-energy-use-percentage-growth-from-1980</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>By comparing the emissions:energy ratio (carbon intensity) between regions, one finds different patterns over time. Thus, between 1980 and 1995, decarbonization in Latin America and the Caribbean was in line with the world average; in the first half of the 1980s, the region progressed even faster than the OECD countries. Later, between 1995 and 2003, the emissions-to-energy consumption ratio increased. </description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon-intensity-of-energy-use-percentage-growth-from-1980_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>254</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>By comparing the emissions:energy ratio (carbon intensity) between regions, one finds different patterns over time. Thus, between 1980 and 1995, decarbonization in Latin America and the Caribbean was in line with the world average; in the first half of the 1980s, the region progressed even faster than the OECD countries. Later, between 1995 and 2003, the emissions-to-energy consumption ratio increased. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon-intensity-of-energy-use-percentage-growth-from-_990.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FCFBE216-16CE-E833-47A5-10CA37A2B026</guid>
<g:label>geolameric</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Economic Commission for Latin America and the Caribbean (ECLAC). 2009. Climate change and development in Latin America and the Caribbean. Overview 2009.</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon inventory</title>
<link>http://maps.grida.no/go/graphic/carbon-inventory</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Carbon stored by forests, Distribution of carbon inventory and Carbon inventory up to 2100.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon-inventory_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>152</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Carbon stored by forests, Distribution of carbon inventory and Carbon inventory up to 2100.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon-inventory_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F9E733B9-C7AC-6C99-1E41-1147AFDDBFDA</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon inventory</title>
<link>http://maps.grida.no/go/graphic/carbon-inventory1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Carbon stored by forests graphic, Distribution of carbon inventory graphic and Carbon inventory up to 2100.</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon-inventory_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Carbon stored by forests graphic, Distribution of carbon inventory graphic and Carbon inventory up to 2100.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon-inventory_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/80BF231B-7B13-65AF-2ABD-16B40726003B</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Sources: Atlas Environnement du Monde Diplomatique, 2007; Global Forest Resources Assessment 2005, United Nations Food and Agriculture Organization (FAO); Hadley climate research unit, 2007; World Resources Institute (WRI), EarthTrends Environmental Information Portal, 2008; World Resources Institute, Climate Analysis Indicators Tool, 2008.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon stock for different type of land uses, on mineral and peat soil</title>
<link>http://maps.grida.no/go/graphic/carbon-stock-for-different-type-of-land-uses-on-mineral-and-peat-soil</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>For a range of land uses that occur in Tripa (forests on peatland) and Batang Toru (forest on non-peatland) the profitability and carbon stocks were determined. Undisturbed forest clearly has the highest carbon stock while rice fields have the lowest.
</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon-stock-for-different-type-of-land-uses-on-mineral-and-peat-soil_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>105</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>For a range of land uses that occur in Tripa (forests on peatland) and Batang Toru (forest on non-peatland) the profitability and carbon stocks were determined. Undisturbed forest clearly has the highest carbon stock while rice fields have the lowest.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon-stock-for-different-type-of-land-uses-on-mineral-and-peat-soil_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/17BA4AFA-17EC-118C-4326-1500101B9AA5</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Tata, H.L. and van Noordwijk, M. 2010. Human livelihoods, ecosystem services and the habitat of the Sumatran orangutan: Rapid assessment in Batang Toru and Tripa. World Agroforestry Centre (ICRAF) Southeast Asia Regional Office, Bogor, Indonesia.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon Stocks Trends and Projections Compared to 1860</title>
<link>http://maps.grida.no/go/graphic/carbon-stocks-trends-and-projections-compared-to-1860</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Carbon stocks in forest areas comprise
carbon in living and dead organic
matter both above and below ground
including trees, the understorey, dead
wood, litter and soil. According to the
latest projections, changes
in climate will mean that by
2050 the world’s ecosystems,
including all its important
forests, will be releasing more
carbon than they are capable of
absorbing.</description>
<pubDate>Thu, 08 Oct 2009 16:24:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon-stocks-trends-and-projections-compared-to-1860_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>311</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Carbon stocks in forest areas comprise
carbon in living and dead organic
matter both above and below ground
including trees, the understorey, dead
wood, litter and soil. According to the
latest projections, changes
in climate will mean that by
2050 the world’s ecosystems,
including all its important
forests, will be releasing more
carbon than they are capable of
absorbing.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon-stocks-trends-and-projections-compared-to-_861.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5A8DA052-A46E-1441-1514-7049DD235E81</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Based on information provided by the Hadley Research Centre.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon storage in terrestrial ecosystems</title>
<link>http://maps.grida.no/go/graphic/carbon-storage-in-terrestrial-ecosystems</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Terrestrial ecosystems store about 2100 Gt C in living organisms, litter and soil organic matter, which is almost
three times that currently present in the atmosphere.</description>
<pubDate>Fri, 05 Jun 2009 00:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon-storage-in-terrestrial-ecosystems_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>114</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Terrestrial ecosystems store about 2100 Gt C in living organisms, litter and soil organic matter, which is almost
three times that currently present in the atmosphere.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon-storage-in-terrestrial-ecosystems_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/107AC09F-FC26-EC7B-0AD9-8B174BA2509F</guid>
<g:label>global</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse</g:label>
<g:label>gases</g:label>
<g:label>global</g:label>
<g:label>climate</g:label>
<g:label>change</g:label>
<g:label>ecosystems</g:label>
<g:label>carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Ruesch and Gibbs, 2008; IGBP-DIS, 2000.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon storage in terrestrial ecosystems vs. great ape distribution</title>
<link>http://maps.grida.no/go/graphic/carbon-storage-in-terrestrial-ecosystems-vs-great-ape-distribution</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>All great ape species predominantly live in tropical rainforests, which are among the most carbon-rich areas in the world. This overlap between the areas where great apes occur and carbon indicates that more potential synergies between great apes and carbon conservation exist. </description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon-storage-in-terrestrial-ecosystems-vs-great-ape-distribution_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>129</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>All great ape species predominantly live in tropical rainforests, which are among the most carbon-rich areas in the world. This overlap between the areas where great apes occur and carbon indicates that more potential synergies between great apes and carbon conservation exist. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon-storage-in-terrestrial-ecosystems-vs-great-ape-distribution_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B75A6570-15ED-114C-97A9-13DB45EA2C3B</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Caldecott, J. and Miles, L. 2009. Atlas mondial des grandes signes et de leur conservation. UNESCO, Paris.
Ruesch, A.S. and Gibbs, H. 2008. New global biomass carbon map for the year 2000 based on IPCC Tier-1 methodology. Oak Ridge National Laboratory’s Carbon Dioxide Information Analysis Center: Oak Ridge, USA. Available online from the Carbon Dioxide Information Analysis Center, URL: http://cdiac.ornl.gov.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carbon stored by biome</title>
<link>http://maps.grida.no/go/graphic/carbon-stored-by-biome</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Dividing the world into seven biomes, we estimate that tropical
and subtropical forests store the largest amount of carbon, almost
550 Gt.</description>
<pubDate>Fri, 05 Jun 2009 00:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carbon-stored-by-biome_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>101</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Dividing the world into seven biomes, we estimate that tropical
and subtropical forests store the largest amount of carbon, almost
550 Gt.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carbon-stored-by-biome_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/90821699-12A3-1733-8234-129F17E6AA56</guid>
<g:label>global</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse</g:label>
<g:label>gases</g:label>
<g:label>global</g:label>
<g:label>climate</g:label>
<g:label>change</g:label>
<g:label>ecosystems</g:label>
<g:label>carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Adapted from Olson et al., 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Caribbean casualties due to hurricanes</title>
<link>http://maps.grida.no/go/graphic/caribbean_casualties_due_to_hurricanes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>From Trinidad to Tallahassee, Florida, tropical storms have ravaged the Caribbean basin, exacting a multibillion-dollar toll on housing, schools, hospitals, roads and sewage systems. Most of the casualties were in Haiti. But almost no community escaped unscathed. In Grenada, half of the population is now homeless, the famed nutmeg groves flattened, the power plants wrecked. The tourism industry that was the island’s lifeblood could take years to recover. Many other islands – including Tobago, Jamaica and Grand Cayman – also suffered.</description>
<pubDate>Mon, 06 Feb 2006 17:57:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/caribbean_casualties_due_to_hurricanes_005.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>153</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>From Trinidad to Tallahassee, Florida, tropical storms have ravaged the Caribbean basin, exacting a multibillion-dollar toll on housing, schools, hospitals, roads and sewage systems. Most of the casualties were in Haiti. But almost no community escaped unscathed. In Grenada, half of the population is now homeless, the famed nutmeg groves flattened, the power plants wrecked. The tourism industry that was the island’s lifeblood could take years to recover. Many other islands – including Tobago, Jamaica and Grand Cayman – also suffered.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_caribbean_casualties_due_to_hurricanes_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C270A157-AB5B-1489-1719-EB0B3536A9CB</guid>
<g:label>geocarib</g:label>
<g:label>disaster</g:label>
<g:label>hurricane</g:label>
<g:label>global warming</g:label>
<g:label>emergency relief</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocarib</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Preview UNEP/GRID-Europe, 2002; CRED 2004; FAO 2000; UNDP 2001</dc:source>
<geo:lat>22</geo:lat>
<geo:long>-70.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>9 -85</gml:lowerCorner>
<gml:upperCorner>35 -56</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Carte des couleurs de peau (peuples indigènes)</title>
<link>http://maps.grida.no/go/graphic/carte-des-couleurs-de-peau-peuples-indig-nes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Décliné à partir de facteurs environnementaux multiples</description>
<pubDate>Wed, 26 May 2010 19:50:41 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/carte-des-couleurs-de-peau-peuples-indig-nes_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Décliné à partir de facteurs environnementaux multiples</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/carte-des-couleurs-de-peau-peuples-indig-nes_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/175C0CE7-5947-124E-A79C-AD44974FB544</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>resource</g:label>
<g:label>kit</g:label>
<g:label>journalist</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Chaplin G.©, Geographic Distribution of Environmental Factors Influencing Human Skin Coloration, American Journal of Physical Anthropology 125:292–302, 2004; carte mise à jour en 2007</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Caspian Sea - salinity</title>
<link>http://maps.grida.no/go/graphic/caspian-sea-salinity</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Caspian Sea has internal drainage, which means that it does not have an outlet to the World Ocean. All water entering the sea accumulates or evaporates. The sea surface salinity in the sea exhibits a gradient, with the semi-encludes bay of Kara-Bogaz-Gol having the most saline water. This bay was closed between 1980 and 1992.</description>
<pubDate>Thu, 06 Mar 2008 17:38:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/caspian-sea-salinity_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>165</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Caspian Sea has internal drainage, which means that it does not have an outlet to the World Ocean. All water entering the sea accumulates or evaporates. The sea surface salinity in the sea exhibits a gradient, with the semi-encludes bay of Kara-Bogaz-Gol having the most saline water. This bay was closed between 1980 and 1992.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/caspian-sea-salinity_001.jpg</g:image_link>
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<g:label>caspianregion</g:label>
<g:label>salt</g:label>
<g:label>salinity</g:label>
<g:label>drought</g:label>
<g:label>desertification</g:label>
<g:label>evaporation</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caspianregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Caspian Environment Programme, 2002</dc:source>
<geo:lat>42.5</geo:lat>
<geo:long>55</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>30 40</gml:lowerCorner>
<gml:upperCorner>55 70</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Caspian Sea and the world: the stage and the actors</title>
<link>http://maps.grida.no/go/graphic/caspian-sea-and-the-world-the-stage-and-the-actors</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Caspian Sea region presents a wealth of opportunities in various aspect, including bioresources, transport corridors, and not ecotourism. These new ventures may bring increased prosperity, but they also put pressure on traditional rural communities and the environment.</description>
<pubDate>Mon, 25 Feb 2008 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/caspian-sea-and-the-world-the-stage-and-the-actors_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>205</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Caspian Sea region presents a wealth of opportunities in various aspect, including bioresources, transport corridors, and not ecotourism. These new ventures may bring increased prosperity, but they also put pressure on traditional rural communities and the environment.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/caspian-sea-and-the-world-the-stage-and-the-actors_001.jpg</g:image_link>
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<g:label>caspianregion</g:label>
<g:label>caspian sea</g:label>
<g:label>trade</g:label>
<g:label>economy</g:label>
<g:label>trade routes</g:label>
<g:label>history</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caspianregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>n/a</dc:source>
<geo:lat>42.5</geo:lat>
<geo:long>55</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>30 40</gml:lowerCorner>
<gml:upperCorner>55 70</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Caspian sea climate, mean annual temperature and precipitation</title>
<link>http://maps.grida.no/go/graphic/caspian-sea-climate-mean-annual-temperature-and-precipitation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>With the Caspian Sea's north-south alignment, stretching over a distance of approximately 10 degrees, the water body crosses several different climatic regions. The northernmost regions, with Russia and Kazakhstan are characterised by dry and cold temperate continental cliamte. The south part of the sea, with Iran, Turkmenistan and Azerbaijan is mountaineous and much warmer. The most precipitation is in the eastern parts, primarily in the southeast.</description>
<pubDate>Sat, 01 Mar 2008 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/caspian-sea-climate-mean-annual-temperature-and-precipitation_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>With the Caspian Sea&apos;s north-south alignment, stretching over a distance of approximately 10 degrees, the water body crosses several different climatic regions. The northernmost regions, with Russia and Kazakhstan are characterised by dry and cold temperate continental cliamte. The south part of the sea, with Iran, Turkmenistan and Azerbaijan is mountaineous and much warmer. The most precipitation is in the eastern parts, primarily in the southeast.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/caspian-sea-climate-mean-annual-temperature-and-precipitation.jpg</g:image_link>
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<g:label>caspiansea</g:label>
<g:label>precipitation</g:label>
<g:label>drought</g:label>
<g:label>temperature</g:label>
<g:label>climate</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caspiansea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>DEWA UNEP/GRID-Europe, Geneva, 2005.</dc:source>
<geo:lat>41.5</geo:lat>
<geo:long>51</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 47</gml:lowerCorner>
<gml:upperCorner>47 55</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Catches in the Mauritania Exclusive Economic Zone (EEZ) 1950-2002</title>
<link>http://maps.grida.no/go/graphic/catches-in-the-mauritania-exclusive-economic-zone-eez-1950-2002</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Marine fisheries represent a significant, but finite, natural resource for coastal countries. The majority of the catches in some of the areas of the coast are not primarily by the coastal countries, but rather as in this example, where countries from Europe and Asia (Japan and South Korea are in the ‘others’ group) represent the majority. According to this estimation Mauritania only landed about 10% of the total catch in 2002, with Netherlands as the nation with the largest catch (23%) in this zone.</description>
<pubDate>Wed, 24 Sep 2008 15:01:13 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/catches-in-the-mauritania-exclusive-economic-zone-eez-1950-2002_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>138</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Marine fisheries represent a significant, but finite, natural resource for coastal countries. The majority of the catches in some of the areas of the coast are not primarily by the coastal countries, but rather as in this example, where countries from Europe and Asia (Japan and South Korea are in the ‘others’ group) represent the majority. According to this estimation Mauritania only landed about 10% of the total catch in 2002, with Netherlands as the nation with the largest catch (23%) in this zone.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/catches-in-the-mauritania-exclusive-economic-zone-eez-1950-_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13C6B086-6AB2-1304-B9F3-7719B6956F12</guid>
<g:label>MR</g:label>
<g:label>fisheries</g:label>
<g:label>development</g:label>
<g:label>atlantic</g:label>
<g:label>tropical</g:label>
<g:label>marine issues</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>MR</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Seas Around Us Project</dc:source>
<geo:lat>20.5</geo:lat>
<geo:long>-10.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>14 -17</gml:lowerCorner>
<gml:upperCorner>27 -4</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Catches in the Mauritania Exclusive Economic Zone (EEZ) 1950-2002</title>
<link>http://maps.grida.no/go/graphic/catches-in-the-mauritania-exclusive-economic-zone-eez-1950-20021</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Marine fisheries represent a significant, but finite, natural resource for coastal countries. For some countries like Mauritania, the majority of the catches belong to international fleets. This represents a significant income for the country in question, but at the same time oppurtunities for value-added services and domestic employment are lost.</description>
<pubDate>Tue, 14 Nov 2006 10:08:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/catches-in-the-mauritania-exclusive-economic-zone-eez-1950-2002_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>138</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Marine fisheries represent a significant, but finite, natural resource for coastal countries. For some countries like Mauritania, the majority of the catches belong to international fleets. This represents a significant income for the country in question, but at the same time oppurtunities for value-added services and domestic employment are lost.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/catches-in-the-mauritania-exclusive-economic-zone-eez-1950-_006.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11BACE76-587E-E3C8-010B-D387A2CBD303</guid>
<g:label>MR</g:label>
<g:label>marine</g:label>
<g:label>fisheries</g:label>
<g:label>eez</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>MR</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>University of British Columbia. 2006. Seas Around Us Project. http://www.seaaroundus.org/TrophicLevel/EEZTaxon.aspx?eez=478&amp;fao=34&amp;country=Mauritania&amp;Hasnote=1&amp;typeOut=4&amp;Tx=1 (Accessed January 10, 2006)</dc:source>
<geo:lat>20.5</geo:lat>
<geo:long>-10.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>14 -17</gml:lowerCorner>
<gml:upperCorner>27 -4</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cattle in the Caucasus ecoregion</title>
<link>http://maps.grida.no/go/graphic/cattle-in-the-caucasus-ecoregion</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Manana Kurtubadze</mapsgrida:designer>
<description>Over the recent number of years, as the economy came to a standstill, individual farms have replaced collective farming and subsistence agriculture and livestock breeding (cattle, sheep and goat) have became common. Along with the increase in farming, more and more land has been used as pasture land. Despite their low productivity, high Mountain areas are increasingly used as pasture grounds for sheep - leading to soil erosion and evoking avalanches and mud-slides. The mountainous shrublands of the Araks basin are extensively irrigated and contribute to soil degradation and the loss of biodiversity. This map presents the distribution and density of cattle farming in the region.</description>
<pubDate>Mon, 04 Feb 2008 13:15:15 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cattle-in-the-caucasus-ecoregion_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>188</mapsgrida:thumbnailHeight>
<g:author>Manana Kurtubadze</g:author>
<mapsgrida:descriptionnonhtml>Over the recent number of years, as the economy came to a standstill, individual farms have replaced collective farming and subsistence agriculture and livestock breeding (cattle, sheep and goat) have became common. Along with the increase in farming, more and more land has been used as pasture land. Despite their low productivity, high Mountain areas are increasingly used as pasture grounds for sheep - leading to soil erosion and evoking avalanches and mud-slides. The mountainous shrublands of the Araks basin are extensively irrigated and contribute to soil degradation and the loss of biodiversity. This map presents the distribution and density of cattle farming in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cattle-in-the-caucasus-ecoregion_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D78A3764-FCC1-9242-8B7F-ACCF5D4303CD</guid>
<g:label>caucaususecoregion</g:label>
<g:label>cattle</g:label>
<g:label>livestock</g:label>
<g:label>pasture</g:label>
<g:label>agriculture</g:label>
<g:label>grazing</g:label>
<dc:contributor>Manana Kurtubadze</dc:contributor>
<dc:coverage>caucaususecoregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Caucasus Atlas project, 2007 </dc:source>
<geo:lat>36.5</geo:lat>
<geo:long>44.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 38</gml:lowerCorner>
<gml:upperCorner>45 51</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Caucasus ice-rock avalanche in Russian Republic of North Ossetia</title>
<link>http://maps.grida.no/go/graphic/caucasus-ice-rock-avalanche-in-russian-republic-of-north-ossetia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>An ice-rock avalanche in the Kazbek region sheared off almost the entire Kolka Glacier and devastated the Genaldon valley. The satellite images show the region before (July 22, 2001) and after (October 6, 2002) the ice-rock avalanche of September 20, 2002.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/caucasus-ice-rock-avalanche-in-russian-republic-of-north-ossetia_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>108</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>An ice-rock avalanche in the Kazbek region sheared off almost the entire Kolka Glacier and devastated the Genaldon valley. The satellite images show the region before (July 22, 2001) and after (October 6, 2002) the ice-rock avalanche of September 20, 2002.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/caucasus-ice-rock-avalanche-in-russian-republic-of-north-ossetia_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/154D0099-568E-CFEE-85DF-10ED1F8508DA</guid>
<g:label>RU</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>glaciers</g:label>
<g:label>hazards</g:label>
<g:label>avalanches</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>RU</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The ASTER scenes were provided within the framework of the Global Land Ice Measurements from Space project (GLIMS) through the EROS data center, and are courtesy of NASA/GSFC/METI/ERSDAC/JAROS and the US/Japan ASTER science team.</dc:source>
<geo:lat>61</geo:lat>
<geo:long>102.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>41 25</gml:lowerCorner>
<gml:upperCorner>81 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Causes of sea level rise from climate change</title>
<link>http://maps.grida.no/go/graphic/causes-of-sea-level-rise-from-climate-change</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>A significant sea level rise is one of the major anticipated consequences of climate change. This graphic explains the causes of sea level change according to the Intergovernmental Panel on Climate Change (IPCC). It explains the IPCC's A1 scenario family, which consists of three scenarios on future use of fossil energy sources, including scenario A1F1, which involves the use of fossil-intensive energy sources. This resource also includes the graphic 'Components of Mean Sea Level Rise for the Scenario A1F1' which shows the projected sea level rise in metres by 2050 and by 2100 for Greenland, glaciers, expansion, the Antarctic, and the total sea level rise.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/causes-of-sea-level-rise-from-climate-change_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>207</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>A significant sea level rise is one of the major anticipated consequences of climate change. This graphic explains the causes of sea level change according to the Intergovernmental Panel on Climate Change (IPCC). It explains the IPCC&apos;s A1 scenario family, which consists of three scenarios on future use of fossil energy sources, including scenario A1F1, which involves the use of fossil-intensive energy sources. This resource also includes the graphic &apos;Components of Mean Sea Level Rise for the Scenario A1F1&apos; which shows the projected sea level rise in metres by 2050 and by 2100 for Greenland, glaciers, expansion, the Antarctic, and the total sea level rise.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/causes-of-sea-level-rise-from-climate-change.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D0CFB73E-CA5F-4003-A523-19D02FEC9395</guid>
<g:label>global</g:label>
<g:label>climate change scenario</g:label>
<g:label>A1 scenario family</g:label>
<g:label>sea level change</g:label>
<g:label>IPCC</g:label>
<g:label>greenhouse effect</g:label>
<g:label>sea level</g:label>
<g:label>climate change</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>David Griggs, in Climate Change 2001, Synthesis Report, Contribution of Working Groups I, II and III to the Third Assessment Report (TAR) of the Intergovernmental Panel on Climate Change (IPCC), Cambridge University Press, 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Causual pathway of conflict over resources</title>
<link>http://maps.grida.no/go/graphic/causual_pathway_of_conflict_over_resources</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Luigi de Martino and Viktor Novikov</mapsgrida:designer>
<description>For violence to occur there should be someone able to extract economic profit from the situation. Access to specific natural resources is a factor that can motivate actors to use violence as means of control (diamonds, oil, timber wars) When looking at the process behind violence it is essential to identify players with an incentive for violence. They need to access resources that facilitate mobilization and expansion of violence. However, society is not powerless when confronted with conflict. Institutions, particularly political institutions and civil society can work to defuse situations, or they can fuel discontent through poor governance, corruption and inefficiency.</description>
<pubDate>Thu, 16 Mar 2006 18:47:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/causual_pathway_of_conflict_over_resources_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>182</mapsgrida:thumbnailHeight>
<g:author>Luigi de Martino and Viktor Novikov</g:author>
<mapsgrida:descriptionnonhtml>For violence to occur there should be someone able to extract economic profit from the situation. Access to specific natural resources is a factor that can motivate actors to use violence as means of control (diamonds, oil, timber wars) When looking at the process behind violence it is essential to identify players with an incentive for violence. They need to access resources that facilitate mobilization and expansion of violence. However, society is not powerless when confronted with conflict. Institutions, particularly political institutions and civil society can work to defuse situations, or they can fuel discontent through poor governance, corruption and inefficiency.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/causual_pathway_of_conflict_over_resources.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C6C249A1-622B-1562-6618-7943058476D8</guid>
<g:label>ferghana</g:label>
<g:label>Security</g:label>
<g:label>ferghana</g:label>
<g:label>Central asia</g:label>
<g:label>politics</g:label>
<g:label>ecomomy</g:label>
<g:label>conflict</g:label>
<g:label></g:label>
<dc:contributor>Luigi de Martino and Viktor Novikov</dc:contributor>
<dc:coverage>ferghana</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>40.5</geo:lat>
<geo:long>70</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>39 67</gml:lowerCorner>
<gml:upperCorner>42 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Caviar imports to Japan, European Union and United States</title>
<link>http://maps.grida.no/go/graphic/caviar-imports-to-japan-european-union-and-united-states</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Caspian area is the world’s main producer of wild caviar (83% in 2003) and supplies the three largest markets, the European Union, Japan and the USA. The construction of several hydroelectric power plants and dams along the Volga river significantly altered the flow of water into the delta and destroyed about 90% of the sturgeon’s spawning grounds, which can be as far as several hundreds of kilometres upstream. This graphic displays the reported figures for these three markets.</description>
<pubDate>Thu, 13 Mar 2008 10:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/caviar-imports-to-japan-european-union-and-united-states_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>285</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Caspian area is the world’s main producer of wild caviar (83% in 2003) and supplies the three largest markets, the European Union, Japan and the USA. The construction of several hydroelectric power plants and dams along the Volga river significantly altered the flow of water into the delta and destroyed about 90% of the sturgeon’s spawning grounds, which can be as far as several hundreds of kilometres upstream. This graphic displays the reported figures for these three markets.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/caviar-imports-to-japan-european-union-and-united-states_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/96BC6FA4-10AE-AF95-2096-DCA06B8053AB</guid>
<g:label>global</g:label>
<g:label>caspian sea</g:label>
<g:label>caviar</g:label>
<g:label>trade</g:label>
<g:label>sturgeon</g:label>
<g:label>fish</g:label>
<g:label>industry</g:label>
<g:label>fishery</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>TRAFFIC, Europe, 5th International Symposium on Sturgeon</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cell phone composition</title>
<link>http://maps.grida.no/go/graphic/cell_phone_composition</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Cécile Marin</mapsgrida:designer>
<description>It is impossible to detail all the types of waste directly or indirectly involved in manufacturing mobile phones. In developed countries production processes manage to keep
sensitive materials in a closed circuit, without any waste
escaping to the outside world. Production – “Made in Elsewhere” – does not usually take place where the phones
are most widespread. Degrees of efficiency in health and
environmental protection vary. In some assembly facilities,
workers can be exposed to a mixture of toxic chemicals,
with waste finding its way into the atmosphere, ground and
water supply, posing a serious risk to their health and that
of the people living in the neighborhood.</description>
<pubDate>Tue, 19 Dec 2006 14:23:23 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cell_phone_composition_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>512</mapsgrida:thumbnailHeight>
<g:author>Cécile Marin</g:author>
<mapsgrida:descriptionnonhtml>It is impossible to detail all the types of waste directly or indirectly involved in manufacturing mobile phones. In developed countries production processes manage to keep
sensitive materials in a closed circuit, without any waste
escaping to the outside world. Production – “Made in Elsewhere” – does not usually take place where the phones
are most widespread. Degrees of efficiency in health and
environmental protection vary. In some assembly facilities,
workers can be exposed to a mixture of toxic chemicals,
with waste finding its way into the atmosphere, ground and
water supply, posing a serious risk to their health and that
of the people living in the neighborhood.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cell_phone_composition_001.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10577DB6-5D85-73BD-9090-7A1A2FC9772F</guid>
<g:label>global</g:label>
<g:label>cell phone</g:label>
<g:label>manufacturing</g:label>
<g:label>waste</g:label>
<g:label>toxic chemicals</g:label>
<g:label>industry</g:label>
<dc:contributor>Cécile Marin</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Basel Convention, 2006; Lindholm (Nokia report), 2003</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Central Asia in peril</title>
<link>http://maps.grida.no/go/graphic/central-asia-in-peril</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Communities face appalling health problems. In Karakalpakstan, Uzbekistan, drinking water is saline and polluted, with a high content of metals that causes a range of diseases. Over the past 15 years there has been a thirty-fold increase in chronic bronchitis and in kidney and liver diseases, especially cancer and arthritic diseases have increased sixty-fold. The infant mortality rate is one of the world's highest.</description>
<pubDate>Sun, 10 Feb 2008 00:00:30 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/central-asia-in-peril_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Communities face appalling health problems. In Karakalpakstan, Uzbekistan, drinking water is saline and polluted, with a high content of metals that causes a range of diseases. Over the past 15 years there has been a thirty-fold increase in chronic bronchitis and in kidney and liver diseases, especially cancer and arthritic diseases have increased sixty-fold. The infant mortality rate is one of the world&apos;s highest.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/central-asia-in-peril.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/73712BA4-A47F-89F2-F7C5-A90422E2C94B</guid>
<g:label>geocasia</g:label>
<g:label>Environment</g:label>
<g:label>poverty</g:label>
<g:label>Aral Sea</g:label>
<g:label>climate changes</g:label>
<g:label>pollution</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Ruben Mnatsakanian, L’Héritage écologique du communisme dans les républiques de l’ex-URSS, Frison-Roche, Paris, 1994 ; Atlas of the USSR (in Russian), Moscow,1985.	</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Central Asia: political transition and environmental risks</title>
<link>http://maps.grida.no/go/graphic/central-asia-political-transition-and-environmental-risks</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Environment and Security consultations in Ashgabat in 2003 pinpointed the Ferghana valley as an area of significant concern in Central Asia (UNEP, UNDP, OSCE 2003) The graphic shows the priority geographic areas and thematic issues for possible ENVSEC action in this area
</description>
<pubDate>Thu, 16 Mar 2006 15:33:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/central-asia-political-transition-and-environmental-risks_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>265</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Environment and Security consultations in Ashgabat in 2003 pinpointed the Ferghana valley as an area of significant concern in Central Asia (UNEP, UNDP, OSCE 2003) The graphic shows the priority geographic areas and thematic issues for possible ENVSEC action in this area
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/central-asia-political-transition-and-environmental-risks.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5DC56870-120B-59D3-A548-90581147B6B4</guid>
<g:label>geocasia</g:label>
<g:label>Security</g:label>
<g:label>politics</g:label>
<g:label>economy</g:label>
<g:label>political trasitions</g:label>
<g:label>environmental risks</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Centralized or decentralized? - Uganda. A study case</title>
<link>http://maps.grida.no/go/graphic/centralized-or-decentralized-uganda-a-study-case</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Looking at the costs and benefits, centralized systems may not be the answer in terms of best result for the investment. The chart on the left shows that the financial NPV does not change with increasing population size for centralized sewage and wastewater connection, however the economic NPV (which includes benefits to health and the environment) shows a positive trend with increas- ing populations. Centralized systems therefore generate a greater benefit as population increases, but show a significant loss with small community size. The chart on the right shows the situation where decentralized latrines have been installed, and where the excreta is reused for food production, and hence the overall benefits returned will depend on the current market price for food. With a good market, the reuse benefits of low-cost latrines can be realized by the households into a positive NPV, however those requiring greater investment, do not offer a return on the investment (WSP, 2006).</description>
<pubDate>Mon, 22 Mar 2010 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/centralized-or-decentralized-uganda-a-study-case_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>114</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Looking at the costs and benefits, centralized systems may not be the answer in terms of best result for the investment. The chart on the left shows that the financial NPV does not change with increasing population size for centralized sewage and wastewater connection, however the economic NPV (which includes benefits to health and the environment) shows a positive trend with increas- ing populations. Centralized systems therefore generate a greater benefit as population increases, but show a significant loss with small community size. The chart on the right shows the situation where decentralized latrines have been installed, and where the excreta is reused for food production, and hence the overall benefits returned will depend on the current market price for food. With a good market, the reuse benefits of low-cost latrines can be realized by the households into a positive NPV, however those requiring greater investment, do not offer a return on the investment (WSP, 2006).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/centralized-or-decentralized-uganda-a-study-case_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10561D41-6558-B161-54CB-8462430EB388</guid>
<g:label>global</g:label>
<g:label>sick</g:label>
<g:label>water</g:label>
<g:label>wastewater</g:label>
<g:label>sustainable</g:label>
<g:label>development</g:label>
<g:label>global</g:label>
<g:label>threat</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WSP, Study for Financial and Economic Analysis of Ecological Sanitation in Sub-Saharan Africa, 2006.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cereal productivity in sub-Saharan Africa under a projected Intergovernamental Panel on Climate Change (IPCC) scenario </title>
<link>http://maps.grida.no/go/graphic/cereal-productivity-in-sub-saharan-africa-under-a-projected-intergovernamental-panel-on-climate-chan</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz</mapsgrida:designer>
<description>A majority of the population in sub-Saharan African lives in rural areas, where income and employment depend almost entirely on rain-fed agriculture. This population is today at high risk. Sub-Saharan Africa already has a highly variable and unpredictable climate and is acutely vulnerable to floods and droughts. A third of the people in the region live in drought-prone areas, and floods are a recurrent threat in several countries. With climate change, large parts of the region will become drier, increasing the number of people at risk of hunger and poverty by tens of millions.
Climate change is already affecting the region. Reduced rainfall across the Sahel, an increase in the incidence of drought and greater volatility are among the current symptoms. But the future points to far more extreme changes: warming between 0.2°C and 0.5°C per decade, with 10% less rainfall in interior regions under intermediate global warming scenarios, and water losses increased by rising temperatures. The warming will be greatest over the semi-arid margins of the Sahara, along the Sahel and interior areas of southern Africa. Climate-induced changes to crop yields and ecosystem boundaries will dramatically affect some of the poorest people in sub-Saharan Africa partly because many of them live in areas most prone to extreme climate events and partly because they have little capacity to adapt by turning to irrigated agriculture, improved seeds or alternative livelihoods.
Recent modeling has provided important insights that should serve as an early warning system. One illustration, shown on the map, is based on evidence of the relationship between water availability and productivity in the cereals sector. It highlights areas of acute threat, including a wide band across the Sahel region, stretching from Mauritania across Niger, Burkina Faso, Chad and Sudan. Large swathes of southern Africa face the prospect of steep declines in yields, along with chronically food-insecure countries such as Ethiopia and Somalia. (UNDP Human Development Report, 2006)</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cereal-productivity-in-sub-saharan-africa-under-a-projected-intergovernamental-panel-on-climate-chan_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>247</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz</g:author>
<mapsgrida:descriptionnonhtml>A majority of the population in sub-Saharan African lives in rural areas, where income and employment depend almost entirely on rain-fed agriculture. This population is today at high risk. Sub-Saharan Africa already has a highly variable and unpredictable climate and is acutely vulnerable to floods and droughts. A third of the people in the region live in drought-prone areas, and floods are a recurrent threat in several countries. With climate change, large parts of the region will become drier, increasing the number of people at risk of hunger and poverty by tens of millions.
Climate change is already affecting the region. Reduced rainfall across the Sahel, an increase in the incidence of drought and greater volatility are among the current symptoms. But the future points to far more extreme changes: warming between 0.2°C and 0.5°C per decade, with 10% less rainfall in interior regions under intermediate global warming scenarios, and water losses increased by rising temperatures. The warming will be greatest over the semi-arid margins of the Sahara, along the Sahel and interior areas of southern Africa. Climate-induced changes to crop yields and ecosystem boundaries will dramatically affect some of the poorest people in sub-Saharan Africa partly because many of them live in areas most prone to extreme climate events and partly because they have little capacity to adapt by turning to irrigated agriculture, improved seeds or alternative livelihoods.
Recent modeling has provided important insights that should serve as an early warning system. One illustration, shown on the map, is based on evidence of the relationship between water availability and productivity in the cereals sector. It highlights areas of acute threat, including a wide band across the Sahel region, stretching from Mauritania across Niger, Burkina Faso, Chad and Sudan. Large swathes of southern Africa face the prospect of steep declines in yields, along with chronically food-insecure countries such as Ethiopia and Somalia. (UNDP Human Development Report, 2006)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cereal-productivity-in-sub-saharan-africa-under-a-projected-intergovernamental-panel-on-climate-chan_005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/587C85B7-126D-7C85-D75B-F17C7E442947</guid>
<g:label>global</g:label>
<g:label>water</g:label>
<g:label>graphics</g:label>
<g:label>conflicts</g:label>
<g:label>cereal</g:label>
<g:label>productivity</g:label>
<g:label>sub-subharan</g:label>
<g:label>africa</g:label>
<g:label>project</g:label>
<dc:contributor>Philippe Rekacewicz</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Fischer (sous la dir. De), 2005, dans PNUD, Rapport sure le development humain 2006.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Certification Regional Breakdown</title>
<link>http://maps.grida.no/go/graphic/certification-regional-breakdown</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 22:04:43 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/certification-regional-breakdown_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>129</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/certification-regional-breakdown.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B3F240F6-14D7-11C8-5471-7F1B420AE954</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Cashore et al. 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Certified Emission Reductions</title>
<link>http://maps.grida.no/go/graphic/certified-emission-reductions1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>One certified emission reduction unit is equivalent to a one-tonne reduction in greenhouse gas emissions (measured in CO2 equivalent).
Circles have only been drawn for countries that have issued more than 50,000 CERs.
Certified Emission Reduction units issued by host parties</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/certified-emission-reductions_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>155</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>One certified emission reduction unit is equivalent to a one-tonne reduction in greenhouse gas emissions (measured in CO2 equivalent).
Circles have only been drawn for countries that have issued more than 50,000 CERs.
Certified Emission Reduction units issued by host parties</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/certified-emission-reductions_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D8A28765-7DA9-10E0-471E-BA8E583D1CC2</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>United Nations Framework Convention on Climate Change, April 2008.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Certified Emission Reductions</title>
<link>http://maps.grida.no/go/graphic/certified-emission-reductions</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>One certified emission reduction unit is equivalent to a one-tonne reduction in greenhouse gas emissions (measured in CO2 equivalent).</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/certified-emission-reductions_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>154</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>One certified emission reduction unit is equivalent to a one-tonne reduction in greenhouse gas emissions (measured in CO2 equivalent).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/certified-emission-reductions_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/15D4317C-164A-F340-1B02-C1A739EFA666</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>United Nations Framework Convention on Climate Change, April 2008.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cesium 137 from nuclear weapon testing fallout (1995 figures)</title>
<link>http://maps.grida.no/go/graphic/cesium_137_from_nuclear_weapon_testing_fallout_1995_figures</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Nuclear explosions - especially the atmospheric tests in the Arctic and from US, UK and Chinese tests at other sites in the world - are the primary source of radioactive contamination in the Arctic. With the times needed for decomposition of nuclear fallout, these higher radiation levels subsists for longer times.</description>
<pubDate>Wed, 22 Mar 2006 09:56:05 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cesium_137_from_nuclear_weapon_testing_fallout_1995_figures_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>227</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Nuclear explosions - especially the atmospheric tests in the Arctic and from US, UK and Chinese tests at other sites in the world - are the primary source of radioactive contamination in the Arctic. With the times needed for decomposition of nuclear fallout, these higher radiation levels subsists for longer times.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cesium_137_from_nuclear_weapon_testing_fallout_1995_figures_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C4FF0AD5-6578-14DF-8CE6-123A313F6409</guid>
<g:label>geoarctic</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>AMAP, 1998. AMAP Assessment Report: Arctic Pollution Issues. Arctic Monitoring and Assessment Programme (AMAP), Oslo, Norway, xii+859pp. </dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CFC end uses in the us in 1987</title>
<link>http://maps.grida.no/go/graphic/cfc-end-uses-in-the-us-in-1987</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Ozone depleting solvents were used in dry cleaning, and to clean metal parts in almost all electronic devices, refrigerating equipment and cars. They also played a part in tasks such as laminating wood for desks, bookshelves and cupboards.</description>
<pubDate>Sat, 12 Jan 2008 20:42:14 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cfc-end-uses-in-the-us-in-1987_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>994</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Ozone depleting solvents were used in dry cleaning, and to clean metal parts in almost all electronic devices, refrigerating equipment and cars. They also played a part in tasks such as laminating wood for desks, bookshelves and cupboards.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cfc-end-uses-in-the-us-in-1987.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13FFF1D7-104C-C099-1710-96953E1CB49F</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>chlorofluorocarbons</g:label>
<g:label>CFCs</g:label>
<g:label>depletion</g:label>
<g:label>ozone hole</g:label>
<g:label>ozone depleting substances</g:label>
<g:label>ODS</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>US Environmental Protection Agency, 1992 (cited by WRI 1996).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CFC production and consumption in 2005</title>
<link>http://maps.grida.no/go/graphic/cfc-production-and-consumption-in-2005</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>It was once quoted in the US as being second in value only to cocaine. A 2006 estimate indicated that CFCs alone accounted for 7,000 to 14,000 tonnes of this trade, valued at US$ 25 to US$ 60 million. The disparity in production and consumption has created problems around the world.</description>
<pubDate>Sat, 12 Jan 2008 22:12:33 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cfc-production-and-consumption-in-2005_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>It was once quoted in the US as being second in value only to cocaine. A 2006 estimate indicated that CFCs alone accounted for 7,000 to 14,000 tonnes of this trade, valued at US$ 25 to US$ 60 million. The disparity in production and consumption has created problems around the world.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cfc-production-and-consumption-in-2005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/868DA40B-7657-B469-2671-88664FE2888D</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>chlorofluorocarbons</g:label>
<g:label>CFCs</g:label>
<g:label>depletion</g:label>
<g:label>ozone hole</g:label>
<g:label>ozone depleting substances</g:label>
<g:label>ODS</g:label>
<g:label>economy</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>United Nations Environment Programme Ozone Secretariat, 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CH4 emissions in 2000; Latin America and selected countries</title>
<link>http://maps.grida.no/go/graphic/ch4_emissions_in_2000_latin_america_and_selected_countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Since pre-industrial times, the atmospheric concentration of methane (CH4) has increased by 150%. Methane is a greenhouse gas that has a global warming potential that is 23 times stronger than CO2. (IPCC 2001)
In 2000 the total world CH4 emissions was estimated at 6,000 million tonnes of CO2equivalents. In South America the emissions of CH4 per capita is almost twice the world average, while the per capita emissions in Central America and Caribbean is similar to the world average.
CH4 comes from burning fossil fuels, rice paddies, waste dumps and livestock.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ch4_emissions_in_2000_latin_america_and_selected_countries_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>157</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Since pre-industrial times, the atmospheric concentration of methane (CH4) has increased by 150%. Methane is a greenhouse gas that has a global warming potential that is 23 times stronger than CO2. (IPCC 2001)
In 2000 the total world CH4 emissions was estimated at 6,000 million tonnes of CO2equivalents. In South America the emissions of CH4 per capita is almost twice the world average, while the per capita emissions in Central America and Caribbean is similar to the world average.
CH4 comes from burning fossil fuels, rice paddies, waste dumps and livestock.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ch4_emissions_in_2000_latin_america_and_selected_countries.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/08AD1C6B-504C-474F-9A7A-6B9AAB77AB3F</guid>
<g:label>geolameric</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse gases</g:label>
<g:label>CH4</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Resources Institute</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Chacaltaya glacier</title>
<link>http://maps.grida.no/go/graphic/chacaltaya-glacier</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</mapsgrida:designer>
<description>The retreat of glaciers is a clear indication of climate change in Latin America. Since the mid-1990s, the Chacaltaya glacier in the Plurinational State of Bolivia has lost half of its surface area and two thirds of its volume, endangering the long-term sustainability of the glacier (Francou et. al. 2003). </description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/chacaltaya-glacier_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>323</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The retreat of glaciers is a clear indication of climate change in Latin America. Since the mid-1990s, the Chacaltaya glacier in the Plurinational State of Bolivia has lost half of its surface area and two thirds of its volume, endangering the long-term sustainability of the glacier (Francou et. al. 2003). </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/chacaltaya-glacier_009.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/128FFEFD-67A5-EF1C-147B-157D33A18D33</guid>
<g:label>geolameric</g:label>
<g:label>yes</g:label>
<dc:contributor>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>CAN, UNEP and Spanish Agency for International Cooperation. 2007. ¿El fin de las cumbres nevadas? Glaciares y Cambio Climático en la Comunidad Andina. </dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Change Forest Cover Costa Rica</title>
<link>http://maps.grida.no/go/graphic/change-forest-cover-costa-rica</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Decreases and increases in forest area, 1940-2005. Costa rica has recently recorded a change from having
a net loss of forests to having a net gain
in forest area.</description>
<pubDate>Thu, 08 Oct 2009 12:43:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/change-forest-cover-costa-rica_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>241</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Decreases and increases in forest area, 1940-2005. Costa rica has recently recorded a change from having
a net loss of forests to having a net gain
in forest area.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/change-forest-cover-costa-rica_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11DB8837-107B-FAC0-FDFE-9371369D45DB</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EOSL/CCT/FONAFIFO 2002; FONAFIFO 2007</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Change in forest cover, 1985-2007</title>
<link>http://maps.grida.no/go/graphic/change-in-forest-cover-1985-2007</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Between 1985 and 2007, 49.3% of all forests on the island were lost. In the provinces of Aceh and North Sumatra the figures were 22.7% and 43.4%, respectively. Most forest loss has occurred in the lowlands, the very areas where orangutan density is highest.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/change-in-forest-cover-1985-2007_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>251</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Between 1985 and 2007, 49.3% of all forests on the island were lost. In the provinces of Aceh and North Sumatra the figures were 22.7% and 43.4%, respectively. Most forest loss has occurred in the lowlands, the very areas where orangutan density is highest.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/change-in-forest-cover-1985-_009.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/184DABC2-1159-B632-1478-134317B9C208</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Hillshade generated from SRTM 90m DEM available from the CGIAR website (http://srtm.csi.cgiar.org/).
Bathymetry from the ETOPO1 Global Relief Model downloaded from: http://www.ngdc.noaa.gov/mgg/global/global.html
Sumatran orangutan distribution shapefile prepared by Singleton and Wich and based on Wich et al. 2008 with unpublished data added.
Forest layer interpreted by PanEco/ YEL, 2010 from Landsat 5 TM, 2009 and Landsat ETM 7 filled, 2010.
Laumonier, Y., Uryu, Y., Stüwe, M., Budiman, A., Setiabudi, B. and Hadian, O. 2010. Eco-floristic sectors and deforestation threats in Sumatra: Identifying new conservation area network priorities for ecosystem-based land use planning. Biodiv Cons 19: 1153-1174.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Change in permafrost temperature in Fairbanks (Alaska)</title>
<link>http://maps.grida.no/go/graphic/change-in-permafrost-temperature-in-fairbanks-alaska</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>With a doubling of atmospheric CO2, it is likely that there will be increases in the thickness of the active layer permafrost and the disappearance of most of the ice-rich discontinous permafrost over a century-long time span.
This figure provides a good example of changes already observed in Alaska. Widespread loss of discontinous permafrost will trigger erosion or subsidence of ice-rich landscapes, change hydrologic processes, and release CO2 and methane to the atmosphere.
Changes in the cryosphere will reduce slope stability and increase incidence of natural hazards for people, structures and communication links. Buildings, roads, pipelines and communication links will be threatened.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/change-in-permafrost-temperature-in-fairbanks-alaska_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>145</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>With a doubling of atmospheric CO2, it is likely that there will be increases in the thickness of the active layer permafrost and the disappearance of most of the ice-rich discontinous permafrost over a century-long time span.
This figure provides a good example of changes already observed in Alaska. Widespread loss of discontinous permafrost will trigger erosion or subsidence of ice-rich landscapes, change hydrologic processes, and release CO2 and methane to the atmosphere.
Changes in the cryosphere will reduce slope stability and increase incidence of natural hazards for people, structures and communication links. Buildings, roads, pipelines and communication links will be threatened.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/change-in-permafrost-temperature-in-fairbanks-alaska.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9A6C2280-4CF9-4E27-A3DF-9C3493BD055A</guid>
<g:label>arcticwest</g:label>
<g:label>Arctic</g:label>
<g:label>Climate change</g:label>
<g:label>permafrost</g:label>
<g:label>temperature</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>arcticwest</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Romanovsky, in Impacts of global climate change in the Arctic regions, IASC, Tromsø, April 1999</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>-90</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 0</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Change in precipitation for scenarios A2 and B2; Tropical America</title>
<link>http://maps.grida.no/go/graphic/change_in_precipitation_for_scenarios_a2_and_b2_tropical_america</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>When global surface temperatures increase, changes in precipitation and atmospheric moisture are very likely to increase: the hydrological cycle will be more active, and the atmosphere will increase its water holding capacity.
Atmospheric water vapour is a climatically critical greenhouse gas, and more of it leads to a stronger greenhouse effect through natural feedback systems.
As a rule of thumb, precipitation will increase in areas that already have much precipitation, while it might decrease in already dry areas. 'Precipitation during the 20th century has on average increased over continents outside the tropics but decreased in the desert regions of Africa and South America”.
Scenarios:
The IPCC scenarios projects the impacts of various projected concentrations of CO2 in the year 2100, fluctuating between 540 and 970 ppm, compared to about 280 ppm in the pre-industrial era, and 375 in the year 2003. The A2 scenario implies focus on economic growth and increasing population, while the B2 scenario focuses on environmental sustainability.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/change_in_precipitation_for_scenarios_a2_and_b2_tropical_america_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>108</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>When global surface temperatures increase, changes in precipitation and atmospheric moisture are very likely to increase: the hydrological cycle will be more active, and the atmosphere will increase its water holding capacity.
Atmospheric water vapour is a climatically critical greenhouse gas, and more of it leads to a stronger greenhouse effect through natural feedback systems.
As a rule of thumb, precipitation will increase in areas that already have much precipitation, while it might decrease in already dry areas. &apos;Precipitation during the 20th century has on average increased over continents outside the tropics but decreased in the desert regions of Africa and South America”.
Scenarios:
The IPCC scenarios projects the impacts of various projected concentrations of CO2 in the year 2100, fluctuating between 540 and 970 ppm, compared to about 280 ppm in the pre-industrial era, and 375 in the year 2003. The A2 scenario implies focus on economic growth and increasing population, while the B2 scenario focuses on environmental sustainability.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/change_in_precipitation_for_scenarios_a2_and_b2_tropical_america.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F8019433-BD28-4463-9AA7-AC58535C16DE</guid>
<g:label>geolameric</g:label>
<g:label>precipitation</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Intergovernmental Panel an Climate Change (IPCC) 2001</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Change in sea level as a result of changes in ocean density and circulation</title>
<link>http://maps.grida.no/go/graphic/change-in-sea-level-as-a-result-of-changes-in-ocean-density-and-circulation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</mapsgrida:designer>
<description>Changes in sea levels resulting exclusively from changes in ocean density and circulation patterns, results of atmosphere-ocean general circulation models (AOGCM) for climate change scenario A1B (this scenario assumes future rapid demographic and economic growth, introduction of new and more efficient technologies, accompanied by a balanced use of all types of energy sources) show that there will be significant spatial variability, i.e., changes in sea levels will not be uniform. Thus, it is expected that by the end of the century (2090-2099) there will be major rises in sea levels in the Caribbean and the Atlantic compared to 1980-1999 levels – attributable to the change in density and ocean circulation patterns – which, with the exception of the southeastern coast of Argentina and the eastern coast of Brazil, are expected to be as much as 5 cm greater than the projected world average of between 0.21 meters and 0.48 meters. These same models predict that increases in Pacific sea levels will be less than the world average of 5 cm.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/change-in-sea-level-as-a-result-of-changes-in-ocean-density-and-circulation_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>309</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Changes in sea levels resulting exclusively from changes in ocean density and circulation patterns, results of atmosphere-ocean general circulation models (AOGCM) for climate change scenario A1B (this scenario assumes future rapid demographic and economic growth, introduction of new and more efficient technologies, accompanied by a balanced use of all types of energy sources) show that there will be significant spatial variability, i.e., changes in sea levels will not be uniform. Thus, it is expected that by the end of the century (2090-2099) there will be major rises in sea levels in the Caribbean and the Atlantic compared to 1980-1999 levels – attributable to the change in density and ocean circulation patterns – which, with the exception of the southeastern coast of Argentina and the eastern coast of Brazil, are expected to be as much as 5 cm greater than the projected world average of between 0.21 meters and 0.48 meters. These same models predict that increases in Pacific sea levels will be less than the world average of 5 cm.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/change-in-sea-level-as-a-result-of-changes-in-ocean-density-and-circulation_009.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1477470C-1807-7C37-44BB-175E002CC87F</guid>
<g:label>geolameric</g:label>
<g:label>yes</g:label>
<dc:contributor>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Meehl, G.A., T.F. Stocker, W.D. Collins, P. Friedlingstein, A.T. Gaye, J.M. Gregory, A. Kitoh, R. Knutti, J.M. Murphy, A. Noda, S.C.B. Raper, I.G. Watterson, A.J. Weaver and Z.-C. Zhao. 2007. Global Climate Projections. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.). Cambridge University Press, Cambridge, United Kingdom and New York.</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Change in the age of ice on the Arctic Ocean, comparing September ice ages in 1988, 1990, 2001 and 2005</title>
<link>http://maps.grida.no/go/graphic/change-in-the-age-of-ice-on-the-arctic-ocean-comparing-september-ice-ages-in-1988-1990-2001-and-2005</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The age of sea ice in the Arctic is changing, and not only the extent and concentrations. Studies show that in recent years there is a higher proportion of younger ice to older ice than was observed in the late 1980s. This analysis is based on results from a simulation using drifting buoy data and satellite-derived ice-concentration data. The darker the colour, the older the ice.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/change-in-the-age-of-ice-on-the-arctic-ocean-comparing-september-ice-ages-in-1988-1990-2001-and-2005_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>446</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The age of sea ice in the Arctic is changing, and not only the extent and concentrations. Studies show that in recent years there is a higher proportion of younger ice to older ice than was observed in the late 1980s. This analysis is based on results from a simulation using drifting buoy data and satellite-derived ice-concentration data. The darker the colour, the older the ice.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/change-in-the-age-of-ice-on-the-arctic-ocean-comparing-september-ice-ages-in-1988-1990-2001-and-2005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8527D414-C509-E422-F661-14215D4BCE28</guid>
<g:label>geoarctic</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>climate</g:label>
<g:label>climate change</g:label>
<g:label>climatology</g:label>
<g:label>sea-ice</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Richter-Menge, J., Overland, J., Proshutinsky, A., Romanovsky, V., Bengtsson, L., Brigham., L., Dyrgerov, M., Gascard, J.C., Gerland, S., Graversen, R., Haas, C., Karcher, M., Kuhry, P., Maslanik, J., Melling, H., Maslowsky, W., Morison, J., Perovich, D., Przybylak, R., Rachold, V., Rigor, I., Shiklomanov, A., Stroeve, J., Walker, D. and Walsh, J. (2006). State of the Arctic Report. NOAA OAR Special Report. NOAA/ OAR/PMEL, Seattle, Washington</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changes in agricultural land (pasture and cropland)</title>
<link>http://maps.grida.no/go/graphic/changes-in-agricultural-land-pasture-and-cropland</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>For all developing countries over the period 1961–99, expansion of harvested land contributed only 29% to growth in crop production versus the contribution of increases in yields, which amounted to 71%; in sub-Saharan Africa, however, yield increases accounted for only 34% of growth in production.</description>
<pubDate>Sun, 03 Feb 2008 19:56:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/changes-in-agricultural-land-pasture-and-cropland_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>356</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>For all developing countries over the period 1961–99, expansion of harvested land contributed only 29% to growth in crop production versus the contribution of increases in yields, which amounted to 71%; in sub-Saharan Africa, however, yield increases accounted for only 34% of growth in production.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/changes-in-agricultural-land-pasture-and-cropland_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D7F7C108-6536-F083-3241-881AFA956992</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>crop</g:label>
<g:label>pasture land</g:label>
<g:label>food production</g:label>
<g:label>economy</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changes in Area of Productive Forest Plantations</title>
<link>http://maps.grida.no/go/graphic/changes-in-area-of-productive-forest-plantations</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 15:30:37 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/changes-in-area-of-productive-forest-plantations_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>150</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/changes-in-area-of-productive-forest-plantations.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BDAF2602-E2C7-1119-027C-D8EE4FAF5504</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO 2006a.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changes in available water in Africa: end of 20th and 21st centuries</title>
<link>http://maps.grida.no/go/graphic/changes-in-available-water-in-africa-end-of-20th-and-21st-centuries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Salinization affects about 10% of the world’s irrigated land, while the loss of biodiversity and its associated agroecological functions (estimated to provide economic benefits of US$ 1,542 billion per year) adversely affect productivity especially in environmentally sensitive lands in sub-Saharan Africa and Latin America.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/changes-in-available-water-in-africa-end-of-20th-and-21st-centuries_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>126</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Salinization affects about 10% of the world’s irrigated land, while the loss of biodiversity and its associated agroecological functions (estimated to provide economic benefits of US$ 1,542 billion per year) adversely affect productivity especially in environmentally sensitive lands in sub-Saharan Africa and Latin America.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/changes-in-available-water-in-africa-end-of-20th-and-21st-centuries_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13866311-CC2A-99C4-357A-BD42608C50D9</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>water</g:label>
<g:label>depletion</g:label>
<g:label>desertification</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Maarten de Wit and Jacek Stankiewicz, Science 31 March 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changes in biodiversity and ecosystems based on human impact 1990-2050</title>
<link>http://maps.grida.no/go/graphic/changes_in_biodiversity_and_ecosystems_based_on_human_impact_1990_2050</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Even Husby, Julien Rouaud, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Modelling, using the GLOBIO1 model, over the Arctic, assessing the impacts on the environment based on infrastructure development between 1990 and 2050 in three different scenarios. The development of roads, pipelines and powerlines fragments the natural habitats and reduces the wilderness qualities.</description>
<pubDate>Wed, 15 Feb 2006 08:10:04 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/changes_in_biodiversity_and_ecosystems_based_on_human_impact_1990_2050_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>256</mapsgrida:thumbnailHeight>
<g:author>Even Husby, Julien Rouaud, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Modelling, using the GLOBIO1 model, over the Arctic, assessing the impacts on the environment based on infrastructure development between 1990 and 2050 in three different scenarios. The development of roads, pipelines and powerlines fragments the natural habitats and reduces the wilderness qualities.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/changes_in_biodiversity_and_ecosystems_based_on_human_impact_1990_2050.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C909E3C0-7B8E-DB9D-B2E9-B6A1610CFB76</guid>
<g:label>geoarctic</g:label>
<g:label>human impact</g:label>
<g:label>development</g:label>
<g:label>infrastructure</g:label>
<g:label>arctic</g:label>
<g:label>wilderness</g:label>
<g:label>globio</g:label>
<dc:contributor>Even Husby, Julien Rouaud, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Digital Chart of the World (DCW)</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changes in economic structure for selected countries</title>
<link>http://maps.grida.no/go/graphic/changes-in-economic-structure-for-selected-countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>While traditional natural resource sectors such as agriculture, forestry, and fisheries are still important in industrial-country economies, the relative economic and political significance of other sectors has grown as a result of the ongoing transition from agricultural to industrial and service economies.</description>
<pubDate>Sun, 03 Feb 2008 19:04:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/changes-in-economic-structure-for-selected-countries_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>140</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>While traditional natural resource sectors such as agriculture, forestry, and fisheries are still important in industrial-country economies, the relative economic and political significance of other sectors has grown as a result of the ongoing transition from agricultural to industrial and service economies.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/changes-in-economic-structure-for-selected-countries_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E95A3142-EC2C-14E3-95C5-F8686546D5DE</guid>
<g:label>global</g:label>
<g:label>economy</g:label>
<g:label>trade</g:label>
<g:label>gross national income</g:label>
<g:label>GNI</g:label>
<g:label>service</g:label>
<g:label>argriculture</g:label>
<g:label>mining industry</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Intergovernmental Panel on Climate Change</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changes in forest area </title>
<link>http://maps.grida.no/go/graphic/changes-in-forest-area</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Timber is harvested from forests and plantations and used for a variety of building, manufacturing, fuel, and other needs. Forests (providing fuelwood and charcoal), agricultural crops, and manure all serve as sources of biomass energy.</description>
<pubDate>Sun, 03 Feb 2008 20:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/changes-in-forest-area_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>357</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Timber is harvested from forests and plantations and used for a variety of building, manufacturing, fuel, and other needs. Forests (providing fuelwood and charcoal), agricultural crops, and manure all serve as sources of biomass energy.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/changes-in-forest-area.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FEE1122B-E32A-134B-28B7-116F176C0A57</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>economy</g:label>
<g:label>lumber</g:label>
<g:label>industry</g:label>
<g:label>agriculture</g:label>
<g:label>poverty</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changes in global water use by sector</title>
<link>http://maps.grida.no/go/graphic/changes-in-global-water-use-by-sector</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data.</description>
<pubDate>Mon, 05 Oct 2009 13:49:44 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/changes-in-global-water-use-by-sector_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>113</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/changes-in-global-water-use-by-sector_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11407C52-178C-1020-2983-D6AAE52C1787</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP/GRID-Arendal 2002, based on Shiklomanov and UNESCO 1999</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changes in the spawning grounds of anchovy</title>
<link>http://maps.grida.no/go/graphic/changes_in_the_spawning_grounds_of_anchovy</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_changes_in_the_spawning_grounds_of_anchovy.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>94</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_changes_in_the_spawning_grounds_of_anchovy.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/89043D91-EEF0-4353-8330-E14A148C78CC</guid>
<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>biodiversity</g:label>
<g:label>anchovy</g:label>
<g:label>fisheries</g:label>
<g:label>fish</g:label>
<g:label>food</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>see bottom of graphic file</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>37 22</gml:lowerCorner>
<gml:upperCorner>50 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changes to Coconut Beach (Dominica) after the 1995 hurricane season</title>
<link>http://maps.grida.no/go/graphic/changes-to-coconut-beach-dominica-after-the-1995-hurricane-season</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov, UNEP/GRID-Arendal</mapsgrida:designer>
<description>During a period between May 1994 to September 1995 the profile of the beach dramatically changed. A rising sea level combined with more storms, washed away vulnerable beaches. With the sand gone, the coast is more vulnerable to waves going further inland, threatening fresh water wells with salinisation, leading to land erosion, and making the areas less attractive for tourism. When a beach starts to deteriorate, the process can be amazingly quick.
It is very likely that the 20th century warming has contributed significantly to the observed rise in global average sea level and the increase in ocean heat content.
Warming drives sea level rise through thermal expansion of seawater and widespread loss of land ice. Based on tide gauge records, after correcting for land movements, the average annual rise was between 1 and 2 mm during the 20th century.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_changes-to-coconut-beach-dominica-after-the-1995-hurricane-season.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>127</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>During a period between May 1994 to September 1995 the profile of the beach dramatically changed. A rising sea level combined with more storms, washed away vulnerable beaches. With the sand gone, the coast is more vulnerable to waves going further inland, threatening fresh water wells with salinisation, leading to land erosion, and making the areas less attractive for tourism. When a beach starts to deteriorate, the process can be amazingly quick.
It is very likely that the 20th century warming has contributed significantly to the observed rise in global average sea level and the increase in ocean heat content.
Warming drives sea level rise through thermal expansion of seawater and widespread loss of land ice. Based on tide gauge records, after correcting for land movements, the average annual rise was between 1 and 2 mm during the 20th century.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_changes-to-coconut-beach-dominica-after-the-1995-hurricane-season.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FB874CDD-377B-44AE-9642-1C3C193F6E3E</guid>
<g:label>DM</g:label>
<g:label>Coconut Beach</g:label>
<g:label>beach</g:label>
<g:label>sea-level</g:label>
<g:label>natural disasters</g:label>
<g:label>hurricane</g:label>
<g:label>disasters</g:label>
<g:label>hazard</g:label>
<dc:contributor>Viktor Novikov, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>DM</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Dominica National Communication to the UNFCCC 2001</dc:source>
<geo:lat>15</geo:lat>
<geo:long>-61</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>15 -61</gml:lowerCorner>
<gml:upperCorner>15 -61</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changing Biomes in South Africa</title>
<link>http://maps.grida.no/go/graphic/changing_biomes_in_south_africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Delphine Digout, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Predictions of the effects of climate change on natural ecosystems in South Africa, over the medium to long term, have included reduced spatial extent of the Grassland biome (Ellery et al. 1991) and an increase in the extent of the Desert biome (Macdonald &amp; Midgley 1996). This graphic shows how the Grassland Biome is expected to shrink as surrounding biomes expand their ranges. It also shows how increasingly arid conditions in the Northern Cape region may change the geographic distribution of the Nama Karoo and Succulent Karoo biomes.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_changing_biomes_in_south_africa.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>327</mapsgrida:thumbnailHeight>
<g:author>Delphine Digout, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Predictions of the effects of climate change on natural ecosystems in South Africa, over the medium to long term, have included reduced spatial extent of the Grassland biome (Ellery et al. 1991) and an increase in the extent of the Desert biome (Macdonald &amp; Midgley 1996). This graphic shows how the Grassland Biome is expected to shrink as surrounding biomes expand their ranges. It also shows how increasingly arid conditions in the Northern Cape region may change the geographic distribution of the Nama Karoo and Succulent Karoo biomes.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_changing_biomes_in_south_africa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F49BB79C-1DF9-4285-A707-3A48BF769EFC</guid>
<g:label>ZA</g:label>
<g:label>biome</g:label>
<g:label>biotic community</g:label>
<g:label>savanna</g:label>
<g:label>climate change</g:label>
<dc:contributor>Delphine Digout, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>ZA</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>State of the Environment South Africa: Terrestrial Ecosystems: Impact Part 2, Department of Environmental Affairs and Tourism of South Africa, www.environment.gov.za, 1999.</dc:source>
<geo:lat>-34</geo:lat>
<geo:long>25.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-46 14</gml:lowerCorner>
<gml:upperCorner>-22 37</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changing Global Forest Cover</title>
<link>http://maps.grida.no/go/graphic/changing-global-forest-cover</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Forests can undergo changes
in various ways. Forest areas
can be reduced either by
deforestation or by natural
disasters,
which can result in the forest
being unable to naturally
regenerate. Conversely,
forest areas can be increased
– through afforestation or by
the natural expansion of forests.</description>
<pubDate>Thu, 08 Oct 2009 12:24:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/changing-global-forest-cover_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>123</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Forests can undergo changes
in various ways. Forest areas
can be reduced either by
deforestation or by natural
disasters,
which can result in the forest
being unable to naturally
regenerate. Conversely,
forest areas can be increased
– through afforestation or by
the natural expansion of forests.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/changing-global-forest-cover_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B11066CB-D39E-145B-6CDD-AC1F278DC8E3</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>MA 2005</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Changing percentages of selected municipal wastes</title>
<link>http://maps.grida.no/go/graphic/changing_percentages_of_selected_municipal_wastes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Municipal waste is everything collected and treated by municipalities. Only part of it is comes from households, the rest is generated by small businesses, commercial and other municipal activities. A typical trend: as countries get richer, the organic share decreases whereas the paper and plastic ones increase.</description>
<pubDate>Thu, 09 Feb 2006 19:38:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/changing_percentages_of_selected_municipal_wastes_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>97</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Municipal waste is everything collected and treated by municipalities. Only part of it is comes from households, the rest is generated by small businesses, commercial and other municipal activities. A typical trend: as countries get richer, the organic share decreases whereas the paper and plastic ones increase.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/changing_percentages_of_selected_municipal_wastes_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C7FFA073-5403-1564-ABC5-8A186422741E</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>paper</g:label>
<g:label>plastic</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>OECD, 2002</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Characteristic time and space scales related to ecosystems and their services</title>
<link>http://maps.grida.no/go/graphic/characteristic-time-and-space-scales-related-to-ecosystems-and-their-services</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The time scale of change refers to the time required for the effects of a perturbation of a process to be expressed. Inertia refers to the delay or slowness in the response of a system to factors altering their rate of change, including continuation of change in the system after the cause of that change has been removed.
</description>
<pubDate>Sun, 03 Feb 2008 19:43:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/characteristic-time-and-space-scales-related-to-ecosystems-and-their-services_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>161</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The time scale of change refers to the time required for the effects of a perturbation of a process to be expressed. Inertia refers to the delay or slowness in the response of a system to factors altering their rate of change, including continuation of change in the system after the cause of that change has been removed.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/characteristic-time-and-space-scales-related-to-ecosystems-and-their-services_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14C8DC2D-D361-14AA-49F9-F503F23C13CA</guid>
<g:label>global</g:label>
<g:label>ecosystem</g:label>
<g:label>atmosphere</g:label>
<g:label>climate change</g:label>
<g:label>greenhouse gas</g:label>
<g:label>ghg</g:label>
<g:label>carbon dioxide</g:label>
<g:label>co2</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IPCC, Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Charcoal business in Virunga area</title>
<link>http://maps.grida.no/go/graphic/charcoal-business-in-virunga-area</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni</mapsgrida:designer>
<description>Charcoal business in the Virunga area.</description>
<pubDate>Mon, 22 Mar 2010 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/charcoal-business-in-virunga-area_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>266</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni</g:author>
<mapsgrida:descriptionnonhtml>Charcoal business in the Virunga area.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/charcoal-business-in-virunga-area_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13A771C1-14BE-16AD-D45F-5F10E7895E5E</guid>
<g:label>global</g:label>
<g:label>gorilla</g:label>
<g:label>congo</g:label>
<g:label>threat</g:label>
<g:label>crime</g:label>
<g:label>conflict</g:label>
<dc:contributor>Riccardo Pravettoni</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNSC, S/2008/773.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Charcoal illegal trade</title>
<link>http://maps.grida.no/go/graphic/charcoal-illegal-trade</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccaro Pravettoni</mapsgrida:designer>
<description>As valuable timber becomes rare outside of parks, militias enter parks and illegally cut and produce charcoal inside parks – even the best protected park of the Virungas housing large shares of the Worlds remaining mountain gorilla popula- tion. Rangers here destroyed over a thousand kilns for charcoal inside the park in 2009.</description>
<pubDate>Mon, 22 Mar 2010 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/charcoal-illegal-trade_thumbnail_005.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>146</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Riccaro Pravettoni</g:author>
<mapsgrida:descriptionnonhtml>As valuable timber becomes rare outside of parks, militias enter parks and illegally cut and produce charcoal inside parks – even the best protected park of the Virungas housing large shares of the Worlds remaining mountain gorilla popula- tion. Rangers here destroyed over a thousand kilns for charcoal inside the park in 2009.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/charcoal-illegal-trade_008.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/15DBC8A0-1405-EC00-568C-61095E7CB5B0</guid>
<g:label>global</g:label>
<g:label>gorilla</g:label>
<g:label>congo</g:label>
<g:label>threat</g:label>
<g:label>crime</g:label>
<g:label>conflict</g:label>
<dc:contributor>Riccaro Pravettoni</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNSC, S/2008/773; Central African Regional Program for the Environment, 2007; ICCN.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cheetah and Wildebeest in East Africa</title>
<link>http://maps.grida.no/go/graphic/cheetah-and-wildebeest-in-east-africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Protecting the Cheetah’s range also benefits other migratory wildlife, including those not currently protected by international agreements such as Appendix I of the CMS. The Serengeti- Mara-Tsavo landscape, for example, is home
not only to a globally important population of Cheetahs, but also to vast numbers of migratory Wildebeest, Zebra, Eland and Thomson’s Gazelle. In 2011, the Tanzanian government ensured that the proposed commercial road network would not bisect the Serengeti and all roads inside the park remain under the park management. This will help to maintain the integrity of the ecosystem and safeguard all of these populations.</description>
<pubDate>Mon, 21 Nov 2011 09:54:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cheetah-and-wildebeest-in-east-africa_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Protecting the Cheetah’s range also benefits other migratory wildlife, including those not currently protected by international agreements such as Appendix I of the CMS. The Serengeti- Mara-Tsavo landscape, for example, is home
not only to a globally important population of Cheetahs, but also to vast numbers of migratory Wildebeest, Zebra, Eland and Thomson’s Gazelle. In 2011, the Tanzanian government ensured that the proposed commercial road network would not bisect the Serengeti and all roads inside the park remain under the park management. This will help to maintain the integrity of the ecosystem and safeguard all of these populations.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cheetah-and-wildebeest-in-east-africa_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1808A975-E9EC-8F79-4204-10AB0C459D06</guid>
<g:label>geoafrica</g:label>
<g:label>cheetah range</g:label>
<g:label>southern africa</g:label>
<g:label>wildebeest</g:label>
<g:label>migratory wildlife</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>National Geographic Magazine, online edition; Frankfurt Zoological Society, Connecting Northern Tanzania, 2011
Conservation Planning for Cheetah and African Wild Dog, 2011</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Child Mortality and Accessibility Index (Burkina Faso and Mali)</title>
<link>http://maps.grida.no/go/graphic/child_mortality_and_accessibility_index_burkina_faso_and_mali_</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Burkina Faso and Mali have among the highest rates of child mortality in West Africa and the world. This map shows the decrease in child mortality when the levels of access to markets and infrastructure based on road quality and town size increase.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/child_mortality_and_accessibility_index_burkina_faso_and_mali__thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Burkina Faso and Mali have among the highest rates of child mortality in West Africa and the world. This map shows the decrease in child mortality when the levels of access to markets and infrastructure based on road quality and town size increase.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/child_mortality_and_accessibility_index_burkina_faso_and_mali__001.gif</g:image_link>
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<g:label>BF</g:label>
<g:label>west africa</g:label>
<g:label>mali</g:label>
<g:label>burkina faso</g:label>
<g:label>infant mortality</g:label>
<g:label>poverty</g:label>
<g:label>infrastructure</g:label>
<g:label>health</g:label>
<g:label>transportation</g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>BF</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Digital data source: Demographic Health Survey Points: West Africa Spatial Analysis Prototype (WASAP) dataset, 1995. Accessibility: Road Network digitized from IGN maps, surfaces produced by Uwe Deichmann, 1997.</dc:source>
<geo:lat>12</geo:lat>
<geo:long>-1.5</geo:long>
<georss:where>
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<gml:lowerCorner>9 -5</gml:lowerCorner>
<gml:upperCorner>15 2</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Child Mortality and Agroclimatic Zones</title>
<link>http://maps.grida.no/go/graphic/child_mortality_and_agroclimatic_zones</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This map shows the correlation between the types of agricultural zones levels of child mortality. In West Africa there are a lower levels of child mortality in the humid zones along coastal areas than the arid zones of the interior.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/child_mortality_and_agroclimatic_zones_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>132</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This map shows the correlation between the types of agricultural zones levels of child mortality. In West Africa there are a lower levels of child mortality in the humid zones along coastal areas than the arid zones of the interior.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/child_mortality_and_agroclimatic_zones.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A260AF6D-D830-4606-A1AE-3FC2FBEDFB68</guid>
<g:label>westafrica</g:label>
<g:label>child mortality</g:label>
<g:label>poverty</g:label>
<g:label>west africa</g:label>
<g:label>health</g:label>
<g:label>agroclimate</g:label>
<g:label>climate</g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>westafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Digital data source: Demographic Health Survey Points: West Africa Spatial Analysis Prototype (WASAP) dataset, 1995. Agroclimatic zones: Data Exploration Tool CD-Rom, Corbett, 1996.</dc:source>
<geo:lat>10.5</geo:lat>
<geo:long>-2</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>0 -19</gml:lowerCorner>
<gml:upperCorner>21 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Child Mortality and Land Degradation</title>
<link>http://maps.grida.no/go/graphic/child_mortality_and_land_degradation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This map shows the correlation between the types of level of land degredation and child mortality. In West Africa there are a higher percentage of child mortality around areas that have higher levels of land degradation.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/child_mortality_and_land_degradation_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This map shows the correlation between the types of level of land degredation and child mortality. In West Africa there are a higher percentage of child mortality around areas that have higher levels of land degradation.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/child_mortality_and_land_degradation_001.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FD7EEB6E-1441-13FF-FC82-82CCCD8A27B1</guid>
<g:label>westafrica</g:label>
<g:label>chlid mortality</g:label>
<g:label>poverty</g:label>
<g:label>west africa</g:label>
<g:label>land degradation</g:label>
<g:label>soil erosion</g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>westafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Digital data source: Demographic Health Survey Points: West Africa Spatial Analysis Prototype (WASAP) dataset, 1995. Land degradation: Global Assessment of Soil Degradation (GLASOW),</dc:source>
<geo:lat>10.5</geo:lat>
<geo:long>-2</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>0 -19</gml:lowerCorner>
<gml:upperCorner>21 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Child mortality rates</title>
<link>http://maps.grida.no/go/graphic/child-mortality-rates</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Child mortality rates by cause and region, 2004. Source: WHO, 2008.</description>
<pubDate>Mon, 22 Mar 2010 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/child-mortality-rates_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>273</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Child mortality rates by cause and region, 2004. Source: WHO, 2008.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/child-mortality-rates_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9EF342BA-FBAC-BABD-1904-134310178D1B</guid>
<g:label>global</g:label>
<g:label>sick</g:label>
<g:label>water</g:label>
<g:label>wastewater</g:label>
<g:label>sustainable</g:label>
<g:label>development</g:label>
<g:label>global</g:label>
<g:label>threat</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WHO, 2008.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Children Stunted and Accessibility Index (Burkina Faso and Mali)</title>
<link>http://maps.grida.no/go/graphic/children_stunted_and_accessibility_index_burkina_faso_and_mali_</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Burkina Faso and Mali have among the highest rates of malnutrition in West Africa and the world. This map shows the levels of stunted growth in children in comparison to the levels of access to markets and infrastructure based on road quality and town size.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/children_stunted_and_accessibility_index_burkina_faso_and_mali__thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Burkina Faso and Mali have among the highest rates of malnutrition in West Africa and the world. This map shows the levels of stunted growth in children in comparison to the levels of access to markets and infrastructure based on road quality and town size.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/children_stunted_and_accessibility_index_burkina_faso_and_mali__001.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/98C21EAE-A1DE-45CB-A005-BD5CDF695449</guid>
<g:label>BF</g:label>
<g:label>stunted growth</g:label>
<g:label>poverty</g:label>
<g:label>west africa</g:label>
<g:label>mali</g:label>
<g:label>burkina faso</g:label>
<g:label>malnutrition</g:label>
<g:label>health</g:label>
<g:label>accessibilty</g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>BF</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway / SSB</dc:source>
<geo:lat>12</geo:lat>
<geo:long>-1.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>9 -5</gml:lowerCorner>
<gml:upperCorner>15 2</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Children Stunted and Agroclimatic Zones</title>
<link>http://maps.grida.no/go/graphic/children_stunted_and_agroclimatic_zones</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Malnutrition in West Africa is a major concern. This map shows the levels of stunted growth in children in comparison to the type of agroclimate. The more arid the zone the higher the growth in children is stunted.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/children_stunted_and_agroclimatic_zones_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>134</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Malnutrition in West Africa is a major concern. This map shows the levels of stunted growth in children in comparison to the type of agroclimate. The more arid the zone the higher the growth in children is stunted.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/children_stunted_and_agroclimatic_zones_001.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FECE469A-7E65-43A2-BC3E-36C60D8D0A12</guid>
<g:label>westafrica</g:label>
<g:label>stunted growth</g:label>
<g:label>poverty</g:label>
<g:label>west africa</g:label>
<g:label>health</g:label>
<g:label>malnutrition</g:label>
<g:label>agroclimate</g:label>
<g:label>climate</g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>westafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Digital data source: Demographic Health Survey Points: West Africa Spatial Analysis Prototype (WASAP) dataset, 1995. Agroclimatic zones: Data Exploration Tool CD-Rom, Corbett, 1996.</dc:source>
<geo:lat>10.5</geo:lat>
<geo:long>-2</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>0 -19</gml:lowerCorner>
<gml:upperCorner>21 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Children Stunted and Land Degradation</title>
<link>http://maps.grida.no/go/graphic/children_stunted_and_land_degradation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Malnutrition in West Africa is a major concern as is environmental damage. This map shows the levels of stunted growth in children of West Africa in comparison to the level of land degradation. There does not seem to be a high correlation between the two.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/children_stunted_and_land_degradation_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Malnutrition in West Africa is a major concern as is environmental damage. This map shows the levels of stunted growth in children of West Africa in comparison to the level of land degradation. There does not seem to be a high correlation between the two.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/children_stunted_and_land_degradation_001.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/2112EE1A-E9D1-482A-8876-2F55C9C7F0BC</guid>
<g:label>westafrica</g:label>
<g:label>poverty</g:label>
<g:label>malnutrition</g:label>
<g:label>health</g:label>
<g:label>west africa</g:label>
<g:label>stunted growth</g:label>
<g:label>land degradation</g:label>
<g:label>soil ersion</g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>westafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Low Digital data source: Demographic Health Survey Points: West Africa Spatial Analysis Prototype (WASAP) dataset, 1995. Land degradation: Global Assessment of Soil Degradation (GLASOW),</dc:source>
<geo:lat>10.5</geo:lat>
<geo:long>-2</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>0 -19</gml:lowerCorner>
<gml:upperCorner>21 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Clearing invasive alien plant species</title>
<link>http://maps.grida.no/go/graphic/clearing-invasive-alien-plant-species</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Despite the widespread distribution and extent of alien invasive species in South Africa, actions to control such plants have had some good results. In the fight against invasive alien plant species, the Working for Water programme has used various methods including mechanical methods, chemical methods, biological control, and integrated control. </description>
<pubDate>Wed, 22 Jun 2011 08:55:39 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/clearing-invasive-alien-plant-species_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>177</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Despite the widespread distribution and extent of alien invasive species in South Africa, actions to control such plants have had some good results. In the fight against invasive alien plant species, the Working for Water programme has used various methods including mechanical methods, chemical methods, biological control, and integrated control. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/clearing-invasive-alien-plant-species_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B4F017C4-1640-15A5-D10D-170FC47A7CB9</guid>
<g:label>geoafrica</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Working for Water Programme</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change - ice and snow and the albedo effect</title>
<link>http://maps.grida.no/go/graphic/climate-change-ice-and-snow-and-the-albedo-effect</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Changes in the polar regions can cause more warming in the entire planet earth system through feedback effects. One such effect is the reduction of ice and snow due to warmer temperatures. When the white and gray snow and ice disappears, less sun rays are reflected out and instead the heat is absorbed by land and sea - which causes further increase in the warming.</description>
<pubDate>Thu, 07 Aug 2008 20:20:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-change-ice-and-snow-and-the-albedo-effect_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>196</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Changes in the polar regions can cause more warming in the entire planet earth system through feedback effects. One such effect is the reduction of ice and snow due to warmer temperatures. When the white and gray snow and ice disappears, less sun rays are reflected out and instead the heat is absorbed by land and sea - which causes further increase in the warming.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-change-ice-and-snow-and-the-albedo-effect.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/15979E52-1649-16DC-7BC9-14FD5C7A8082</guid>
<g:label>global</g:label>
<g:label>ipy</g:label>
<g:label>climate change</g:label>
<g:label>greenhouse effect</g:label>
<g:label>albedo</g:label>
<g:label>climate</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>n/a</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change and malaria, scenario for 2050</title>
<link>http://maps.grida.no/go/graphic/climate-change-and-malaria-scenario-for-2050</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>With climate conditions changing in the future, due to increased concentrations of carbon dioxide in the atmosphere, conditions for pests also change. The primary Malaria agent, the falciparum malaria parasite, will be able to spread into new areas, as displayed in this map, by 2050 using the Hadley CM2 high scenario. Other areas, not displayed in the map, will be uninhabitable by the parasite, and thus free of the pest.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-change-and-malaria-scenario-for-2050_thumbnail_006.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>128</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>With climate conditions changing in the future, due to increased concentrations of carbon dioxide in the atmosphere, conditions for pests also change. The primary Malaria agent, the falciparum malaria parasite, will be able to spread into new areas, as displayed in this map, by 2050 using the Hadley CM2 high scenario. Other areas, not displayed in the map, will be uninhabitable by the parasite, and thus free of the pest.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-change-and-malaria-scenario-for-_056.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BFFE205D-B692-B1C5-AA3B-58C98E510EE9</guid>
<g:label>global</g:label>
<g:label>malaria</g:label>
<g:label>climate change</g:label>
<g:label>infectious diseases</g:label>
<g:label>health</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Rogers &amp; Randolph. The Global Spread of Malaria in a Future, Warmer World. Science (2000:1763-1766).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change and natural disaster impacts in the Ferghana Valley</title>
<link>http://maps.grida.no/go/graphic/climate_change_and_natural_disaster_impacts_in_the_ferghana_valley</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Central Asia is a disaster-prone area, exposed to various natural hazards such as floods, droughts, avalanches, rockslide and earthquakes. It is also vulnerable to man-made disasters related to industrial activity and the radioactive and chemical dumps inherited from the Soviet period. Several factors - population density in disaster-prone areas, high overall population growth, poverty, land and water use, failure to comply with building codes and global climate change – make the region particularly vulnerable to natural as well as man made disasters. </description>
<pubDate>Thu, 16 Mar 2006 20:49:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate_change_and_natural_disaster_impacts_in_the_ferghana_valley_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>261</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Central Asia is a disaster-prone area, exposed to various natural hazards such as floods, droughts, avalanches, rockslide and earthquakes. It is also vulnerable to man-made disasters related to industrial activity and the radioactive and chemical dumps inherited from the Soviet period. Several factors - population density in disaster-prone areas, high overall population growth, poverty, land and water use, failure to comply with building codes and global climate change – make the region particularly vulnerable to natural as well as man made disasters. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate_change_and_natural_disaster_impacts_in_the_ferghana_valley.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/151032B1-10C1-EF9D-E833-F62950C14C33</guid>
<g:label>ferghana</g:label>
<g:label>Security</g:label>
<g:label>ferghana</g:label>
<g:label>Central asia</g:label>
<g:label>politics</g:label>
<g:label>ecomomy</g:label>
<g:label>natural disasters</g:label>
<g:label>climate change</g:label>
<dc:contributor>Viktor Novikov, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>ferghana</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>40.5</geo:lat>
<geo:long>70</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>39 67</gml:lowerCorner>
<gml:upperCorner>42 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change and tropical coral reefs, scenarios for bleaching events</title>
<link>http://maps.grida.no/go/graphic/climate-change-and-tropical-coral-reefs-scenarios-for-bleaching-events</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Projected areas of above normal sea temperature where coral bleaching is likely to occur for the SRES A2 scenario (continuing current trends) by two different models, the PCM (1.7°C increase in 100 years) and the HadCM3 (3°C increase in 100 years) by approximately 2035 (left) and by 2055 (right). Both models project severe annual bleaching in more than 80% of the Worlds coral reefs by 2080.</description>
<pubDate>Fri, 22 Feb 2008 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-change-and-tropical-coral-reefs-scenarios-for-bleaching-events_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>138</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Projected areas of above normal sea temperature where coral bleaching is likely to occur for the SRES A2 scenario (continuing current trends) by two different models, the PCM (1.7°C increase in 100 years) and the HadCM3 (3°C increase in 100 years) by approximately 2035 (left) and by 2055 (right). Both models project severe annual bleaching in more than 80% of the Worlds coral reefs by 2080.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-change-and-tropical-coral-reefs-scenarios-for-bleaching-events_002.jpg</g:image_link>
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<g:label>tropical</g:label>
<g:label>marine issues</g:label>
<g:label>oceans</g:label>
<g:label>sea</g:label>
<g:label>seas</g:label>
<g:label>ocean</g:label>
<g:label>world ocean</g:label>
<g:label>climate change</g:label>
<g:label>coral reefs</g:label>
<g:label>scenarios</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>tropical</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Donner, S.D., Skirving, W.J., Little, C.M., Hoegh-Guldberg, O., Oppenheimer, M. 2005. Global assessment of coral bleaching and required rates of adaptation under climate change. Global Change Biology vol, 11, 2251-2265.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-30 -180</gml:lowerCorner>
<gml:upperCorner>30 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change and vector-borne diseases</title>
<link>http://maps.grida.no/go/graphic/climate-change-and-vector-borne-diseases</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Climate change and altered weather patters would affect the range (both altitude and latitude), intensity, and seasonality of many major tropical vector-borne and other infectious diseases - such as malaria and dengue fever.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-change-and-vector-borne-diseases_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>159</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Climate change and altered weather patters would affect the range (both altitude and latitude), intensity, and seasonality of many major tropical vector-borne and other infectious diseases - such as malaria and dengue fever.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-change-and-vector-borne-diseases.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/043F0704-62B3-4A95-8C2F-EB73D6816218</guid>
<g:label>global</g:label>
<g:label>Climate change</g:label>
<g:label>health</g:label>
<g:label>malaria</g:label>
<g:label>dengue fever</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Climate change 1995, Impacts, adaptations and mitigation of climate change: scientific-technical analyses, contribution of working group 2 to the second assessment report of the intergovernmental panel on climate change, UNEP and WMO, Cambridge press univeristy, 1996</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change global processes and effects</title>
<link>http://maps.grida.no/go/graphic/climate-change-global-processes-and-effects1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Greenhouse gases emissions, HUMAN ACTIVITIES, CLIMATE CHANGE PROCESSES, MAIN CLIMATE FEATURES, MAJOR THREATS.</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-change-global-processes-and-effects_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>136</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Greenhouse gases emissions, HUMAN ACTIVITIES, CLIMATE CHANGE PROCESSES, MAIN CLIMATE FEATURES, MAJOR THREATS.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-change-global-processes-and-effects_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9CC588F0-1207-EAD6-5EF1-172EC0BFD9EF</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change global processes and effects</title>
<link>http://maps.grida.no/go/graphic/climate-change-global-processes-and-effects</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Climate change global processes and effects involving human activities, main climate features and major threats.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-change-global-processes-and-effects_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Climate change global processes and effects involving human activities, main climate features and major threats.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-change-global-processes-and-effects_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B419CFA2-7B39-7CCB-280C-888B2F5F6AD5</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change impact on mountain vegetation zones </title>
<link>http://maps.grida.no/go/graphic/climate-change-impact-on-mountain-vegetation-zones</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The figure shows a comparison of current vegetation zones at a hypothetical dry temperate mountain site with simulated vegetation zones under a climate-warming scenario. Mountains cover about 20% of the Earth's continents and serve as an important water source for most major rivers. Paleologic records indicate that climate warming in the past has caused vegetation zones to shift to higher elevations, resulting in the loss of some species and ecosystems. Simulated scenarios for temperate-climate mountain sites suggest that continued warming could have similar consequences. Species and ecosystems with limited climatic ranges could disappear and, in most mountain regions, the extent and volume of glaciers and the extent of permafrost and seasonal snow cover will be reduced. Along with possible changes in precipitation this would affect soil stability and socio-economic activities such as agriculture, tourism, hydropower and logging. Resources for indigenous populations and recreational activities would also be disrupted.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-change-impact-on-mountain-vegetation-zones_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>104</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The figure shows a comparison of current vegetation zones at a hypothetical dry temperate mountain site with simulated vegetation zones under a climate-warming scenario. Mountains cover about 20% of the Earth&apos;s continents and serve as an important water source for most major rivers. Paleologic records indicate that climate warming in the past has caused vegetation zones to shift to higher elevations, resulting in the loss of some species and ecosystems. Simulated scenarios for temperate-climate mountain sites suggest that continued warming could have similar consequences. Species and ecosystems with limited climatic ranges could disappear and, in most mountain regions, the extent and volume of glaciers and the extent of permafrost and seasonal snow cover will be reduced. Along with possible changes in precipitation this would affect soil stability and socio-economic activities such as agriculture, tourism, hydropower and logging. Resources for indigenous populations and recreational activities would also be disrupted.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-change-impact-on-mountain-vegetation-zones.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7B731AA2-2D12-46E3-B4E0-EE1EF3B0617A</guid>
<g:label>global</g:label>
<g:label>Climate change</g:label>
<g:label>mountains</g:label>
<g:label>vegetation</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Martin Benitson, Mountain environments in changing climates, Routledge, London, 1994; Climate change 1995, Impacts, adaptations and mitigation of climate change: scientific-technical analyses, contribution of working group 2 to the second assessment report of the intergovernmental panel on climate change, UNEP and WMO, Cambridge press univeristy, 1996</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change impacts that could affect attainment of the Millennium Development Goals</title>
<link>http://maps.grida.no/go/graphic/climate-change-impacts-that-could-affect-attainment-of-the-millennium-development-goals</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</mapsgrida:designer>
<description>Sustainability in the Latin American and Caribbean countries may be affected by climate change impacts. Costs associated with climate change can intensify budget constraints as countries attempt to reduce poverty and work towards meeting the Millennium Development Goals. Food security will be affected because of a decline in the productivity of staple grains, natural disasters and drought may reduce the time available for children’s education. It is also expected that climate change will exacerbate current gender inequities, reduce the quantity and quality of drinking water and the number of diseases and mortality related to rising temperatures.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-change-impacts-that-could-affect-attainment-of-the-millennium-development-goals_thumbnail_010.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>328</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Sustainability in the Latin American and Caribbean countries may be affected by climate change impacts. Costs associated with climate change can intensify budget constraints as countries attempt to reduce poverty and work towards meeting the Millennium Development Goals. Food security will be affected because of a decline in the productivity of staple grains, natural disasters and drought may reduce the time available for children’s education. It is also expected that climate change will exacerbate current gender inequities, reduce the quantity and quality of drinking water and the number of diseases and mortality related to rising temperatures.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-change-impacts-that-could-affect-attainment-of-the-millennium-development-goals_013.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/129FCE71-13B0-12E6-95E3-8ED8C8C6B1B5</guid>
<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Economic Commission for Latin America and the Caribbean (ECLAC). 2009. Climate change and development in Latin America and the Caribbean.</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change in Zimbabwe: trends in temperature and rainfall</title>
<link>http://maps.grida.no/go/graphic/climate_change_in_zimbabwe_trends_in_temperature_and_rainfall</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Zimbabwe is experiencing more hot days and fewer cold days, and the amount of precipitation it receives is deviating from the mean more frequently. This resource includes two graphics. The first shows the number of days with a minimum temperature of 12 degrees Celsius and the number of days with a minimum temperature of 30 degrees Celsius from 1950 to 1990. The second graphic shows the amount of precipitation in millimetres that was a departure from the long-term mean amount for the time period 1910 to 2000.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate_change_in_zimbabwe_trends_in_temperature_and_rainfall_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>147</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Zimbabwe is experiencing more hot days and fewer cold days, and the amount of precipitation it receives is deviating from the mean more frequently. This resource includes two graphics. The first shows the number of days with a minimum temperature of 12 degrees Celsius and the number of days with a minimum temperature of 30 degrees Celsius from 1950 to 1990. The second graphic shows the amount of precipitation in millimetres that was a departure from the long-term mean amount for the time period 1910 to 2000.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate_change_in_zimbabwe_trends_in_temperature_and_rainfall.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/85E58DA2-597B-4598-8776-7889EC1CEA6B</guid>
<g:label>ZW</g:label>
<g:label>climate change</g:label>
<g:label>global change</g:label>
<g:label>precipitation trends</g:label>
<g:label>weather trends</g:label>
<g:label>diurnal temperature</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>ZW</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Zimbabwe Department of Meteorological Service at http://weather.utande.co.zw/climate/climatechange.htm.</dc:source>
<geo:lat>-18.5</geo:lat>
<geo:long>29</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-22 25</gml:lowerCorner>
<gml:upperCorner>-15 33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate Change Performance Index 2008</title>
<link>http://maps.grida.no/go/graphic/climate-change-performance-index-2008</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Developed by Germanwatch and using three weighted indexes: Emission trends, emission level and climate policy.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-change-performance-index-2008_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Developed by Germanwatch and using three weighted indexes: Emission trends, emission level and climate policy.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-change-performance-index-_009.jpg</g:image_link>
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<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Germanwatch, The Climate Change Performance Index, A Comparison of Emissions Trends and Climate Protection Policies of the Top 56 CO2 Emitting Nations, December 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate Change Performance Index 2008</title>
<link>http://maps.grida.no/go/graphic/climate-change-performance-index-20081</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Climate Change Performance Index developed by Germanwatch is calculated using three weighted indexes:
*Emissions trends for energy, transport, industry and residential account for 50 % of total rating;
*A country’s current emissions level (CO2 emitted per primary energy unit, primary energy unit per GDP, primary energy unit per capita) is given a 30 % weight in the overall evaluation;
*Climate policy (national and international) weighs 20 %.</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-change-performance-index-2008_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Climate Change Performance Index developed by Germanwatch is calculated using three weighted indexes:
*Emissions trends for energy, transport, industry and residential account for 50 % of total rating;
*A country’s current emissions level (CO2 emitted per primary energy unit, primary energy unit per GDP, primary energy unit per capita) is given a 30 % weight in the overall evaluation;
*Climate policy (national and international) weighs 20 %.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-change-performance-index-_010.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9E04ADA8-BF8D-9583-C9DB-E2DA3EBE5BE4</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Germanwatch, The Climate Change Performance Index, A Comparison of Emissions Trends and Climate Protection Policies of the Top 56 CO2 Emitting Nations, December 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change scenarios for desert areas</title>
<link>http://maps.grida.no/go/graphic/climate_change_scenarios_for_desert_areas</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>SRES scenarios show the period 2071 to 2100 relative to the period 1961 to 1990, and were performed by AOGCMs. Scenarios A2 and B2 are shown as no AOGCM runs were available for the other SRES scenarios.</description>
<pubDate>Mon, 05 Jun 2006 10:29:10 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_climate_change_scenarios_for_desert_areas_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>178</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>SRES scenarios show the period 2071 to 2100 relative to the period 1961 to 1990, and were performed by AOGCMs. Scenarios A2 and B2 are shown as no AOGCM runs were available for the other SRES scenarios.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_climate_change_scenarios_for_desert_areas_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12504B52-938A-F00C-0C46-D3A039657303</guid>
<g:label>desert</g:label>
<g:label>climate change</g:label>
<g:label>temperature change</g:label>
<g:label>greenhouse effect</g:label>
<g:label>ipcc</g:label>
<g:label>sres a2</g:label>
<g:label>temperature</g:label>
<g:label>climate</g:label>
<g:label>precipitation</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>desert</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IPCC TAR synthesis report, Climate Change 2001, based on figure 3-2 and 3-3, for question 3</dc:source>
<geo:lat>2</geo:lat>
<geo:long>12.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-47 -121</gml:lowerCorner>
<gml:upperCorner>51 146</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change vulnerability</title>
<link>http://maps.grida.no/go/graphic/climate-change-vulnerability</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Vulnerability of human populations to extreme climate related events and changes in major climate parameters over the next 30 years.</description>
<pubDate>Tue, 06 Dec 2011 11:45:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-change-vulnerability_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>219</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Vulnerability of human populations to extreme climate related events and changes in major climate parameters over the next 30 years.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-change-vulnerability_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7C99FEEE-6D1F-116C-3942-115B847FA962</guid>
<g:label>asia</g:label>
<g:label>women</g:label>
<g:label>climate change</g:label>
<g:label>gender risks</g:label>
<g:label>adaptation</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>asia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>based on map from Maplecroft, 2011</dc:source>
<geo:lat>39.5</geo:lat>
<geo:long>102.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-10 26</gml:lowerCorner>
<gml:upperCorner>89 179</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change vulnerability in Africa</title>
<link>http://maps.grida.no/go/graphic/climate_change_vulnerability_in_africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Delphine Digout, Revised by Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Multiple stresses make most of Africa highly vulnerable to environmental changes, and climate change is likely to increase this vulnerability. This graphic shows which of the regions of Africa (North Africa, West Africa, Central Africa, East Africa, Southern Africa and the Western Indian Ocean Islands) are most vulnerable to specific impacts of climate change. These impacts include desertification, sea level rise, reduced freshwater availability, cyclones, coastal erosion, deforestation, loss of forest quality, woodland degradation, coral bleaching, the spread of malaria and impacts on food security.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate_change_vulnerability_in_africa_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>165</mapsgrida:thumbnailHeight>
<g:author>Delphine Digout, Revised by Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Multiple stresses make most of Africa highly vulnerable to environmental changes, and climate change is likely to increase this vulnerability. This graphic shows which of the regions of Africa (North Africa, West Africa, Central Africa, East Africa, Southern Africa and the Western Indian Ocean Islands) are most vulnerable to specific impacts of climate change. These impacts include desertification, sea level rise, reduced freshwater availability, cyclones, coastal erosion, deforestation, loss of forest quality, woodland degradation, coral bleaching, the spread of malaria and impacts on food security.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate_change_vulnerability_in_africa_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/72399759-4441-4349-93C6-7420ABB77610</guid>
<g:label>geoafrica</g:label>
<g:label>climate change vulnerability</g:label>
<g:label>impact of climate change</g:label>
<g:label>regional impact</g:label>
<dc:contributor>Delphine Digout, Revised by Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Anna Ballance, UNEP/GRID-Arendal, 2002.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change vulnerability in Africa</title>
<link>http://maps.grida.no/go/graphic/climate-change-vulnerability-in-africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Delphine Digout, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Multiple stresses make most of Africa highly vulnerable to environmental changes, and climate change is likely to increase this vulnerability. This graphic shows which of the regions of Africa (North Africa, West Africa, Central Africa, East Africa, Southern Africa and the Western Indian Ocean Islands) are most vulnerable to specific impacts of climate change. These impacts include desertification, sea level rise, reduced freshwater availability, cyclones, coastal erosion, deforestation, loss of forest quality, woodland degradation, coral bleaching, the spread of malaria and impacts on food security.</description>
<pubDate>Mon, 23 Jan 2006 20:39:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate_change_vulnerability_in_africa_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>123</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Delphine Digout, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Multiple stresses make most of Africa highly vulnerable to environmental changes, and climate change is likely to increase this vulnerability. This graphic shows which of the regions of Africa (North Africa, West Africa, Central Africa, East Africa, Southern Africa and the Western Indian Ocean Islands) are most vulnerable to specific impacts of climate change. These impacts include desertification, sea level rise, reduced freshwater availability, cyclones, coastal erosion, deforestation, loss of forest quality, woodland degradation, coral bleaching, the spread of malaria and impacts on food security.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate_change_vulnerability_in_africa_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13876621-D7C5-80A6-E2E5-157FFE189D93</guid>
<g:label>geoafrica</g:label>
<g:label>climate change vulnerability</g:label>
<g:label>impact of climate change</g:label>
<g:label>regional impactY:\work\africa-vulnerability.jpg</g:label>
<dc:contributor>Delphine Digout, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Anna Ballance, UNEP/GRID-Arendal, 2002.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate change: processes, characteristics and threats</title>
<link>http://maps.grida.no/go/graphic/climate_change_processes_characteristics_and_threats</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Most people have heard about climate change, they might even express a real concern about it, but how many would actually consider it a threat? Because the changes can be slow and sometimes difficult to identify within the normal variation of climatic conditions, many of us think they will not affect our lives. However, some parts of the world are already being severely affected by climatic change – both the people and the environment. And unfortunately, it appears that many developing countries bear the brunt of global warming, when the problem is mostly due to the actions of developed countries.</description>
<pubDate>Mon, 04 Sep 2006 09:55:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate_change_processes_characteristics_and_threats_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>188</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Most people have heard about climate change, they might even express a real concern about it, but how many would actually consider it a threat? Because the changes can be slow and sometimes difficult to identify within the normal variation of climatic conditions, many of us think they will not affect our lives. However, some parts of the world are already being severely affected by climatic change – both the people and the environment. And unfortunately, it appears that many developing countries bear the brunt of global warming, when the problem is mostly due to the actions of developed countries.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate_change_processes_characteristics_and_threats.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/15A8D7A3-D97A-F824-131D-7C3B39E66562</guid>
<g:label>global</g:label>
<g:label>climate change</g:label>
<g:label>greenhouse effects</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>n/a</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate feedbacks - the connectivity of the positive ice/snow albedo feedback, terrestrial snow and vegetation feedbacks and the negative cloud/radiation feedback</title>
<link>http://maps.grida.no/go/graphic/climate-feedbacks-the-connectivity-of-the-positive-ice-snow-albedo-feedback-terrestrial-snow-and-vegetation-feedbacks-and-the-negative-cloud-radiation-feedback</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Feedback refers to the modification of a process by changes resulting from the process itself. Positive feedbacks accelerate the process, while negative feedbacks slow it down. Part of the uncertainty around future climates relates to important feedbacks between different parts of the climate system: air temperatures, ice and snow albedo (reflection of the sun’s rays), and clouds. An important positive feedback is the ice and snow albedo feedback. Sea ice and snow have high albedo. This means that they reflect most of the solar radiation. With warmer polar temperatures, the area of sea ice and snow cover decreases, exposing new expanses of ocean and land surfaces that absorb an increased amount of solar radiation. This increase of total absorbed solar radiation contributes to continued and accelerated warming. Many IPCC climate models suggest a major loss in sea ice cover by the mid 21st century caused by albedo feedback from shrinking snow cover and increased open water areas in summer. A second feedback is negative: the cloud-radiative feedback. Its future impact is important but uncertain. Increased cloud cover, an expected result of global warming, increases the reflection of solar radiation away from the Earth’s surface, but it also increases the net long-wave radiation emitted downward from the same clouds back to the surface. The net effect of increased cloudiness is expected to be a small decrease in radiation received by the Earth’s surface. One of the great challenges of climate change science is to understand the net effect of these rather complex interactions. This is not just a question of understanding the physics of climate systems – many of these interactions and feedbacks also involve the living world. For example, the increase in shrub growth in tundra regions due to high-latitude warming leads to a decrease in albedo in summer, but an increase in snow retention in winter over large areas of land. Another feedback comes from melting permafrost that releases methane, a powerful greenhouse gas, into the atmosphere, which then amplifies the greenhouse effect.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-feedbacks-the-connectivity-of-the-positive-ice-snow-albedo-feedback-terrestrial-snow-and-vegetation-feedbacks-and-the-negative-cloud-radiation-feedback_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>202</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Feedback refers to the modification of a process by changes resulting from the process itself. Positive feedbacks accelerate the process, while negative feedbacks slow it down. Part of the uncertainty around future climates relates to important feedbacks between different parts of the climate system: air temperatures, ice and snow albedo (reflection of the sun’s rays), and clouds. An important positive feedback is the ice and snow albedo feedback. Sea ice and snow have high albedo. This means that they reflect most of the solar radiation. With warmer polar temperatures, the area of sea ice and snow cover decreases, exposing new expanses of ocean and land surfaces that absorb an increased amount of solar radiation. This increase of total absorbed solar radiation contributes to continued and accelerated warming. Many IPCC climate models suggest a major loss in sea ice cover by the mid 21st century caused by albedo feedback from shrinking snow cover and increased open water areas in summer. A second feedback is negative: the cloud-radiative feedback. Its future impact is important but uncertain. Increased cloud cover, an expected result of global warming, increases the reflection of solar radiation away from the Earth’s surface, but it also increases the net long-wave radiation emitted downward from the same clouds back to the surface. The net effect of increased cloudiness is expected to be a small decrease in radiation received by the Earth’s surface. One of the great challenges of climate change science is to understand the net effect of these rather complex interactions. This is not just a question of understanding the physics of climate systems – many of these interactions and feedbacks also involve the living world. For example, the increase in shrub growth in tundra regions due to high-latitude warming leads to a decrease in albedo in summer, but an increase in snow retention in winter over large areas of land. Another feedback comes from melting permafrost that releases methane, a powerful greenhouse gas, into the atmosphere, which then amplifies the greenhouse effect.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-feedbacks-the-connectivity-of-the-positive-ice-snow-albedo-feedback-terrestrial-snow-and-vegetation-feedbacks-and-the-negative-cloud-radiation-feedback.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5EB0C04A-1168-130D-72F5-8234102AE665</guid>
<g:label>global</g:label>
<g:label>climate</g:label>
<g:label>climatology</g:label>
<g:label>albedo</g:label>
<g:label>feedback</g:label>
<g:label>climate change</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Chapin III, F.S., Sturm, M., Serreze, M.C., McFadden, J.P., Key, J.R., Lloyd, A.H., McGuire, A.D., Rupp, T.S., Lynch, A.H., Schimel, J.P., Beringer, J., Chapman, W.L., Epstein, H.E., Euskirchen, E.S., Hinzman, L.D., Jia, G., Ping, C.L., Tape, K.D., Thompson, C.D.C., Walker, D.A. and Welker, J.M. (2005). Role of land surface changes in Arctic summer warming. Science, 310, 657-660</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate impacts and tropical diseases in Colombia</title>
<link>http://maps.grida.no/go/graphic/climate_impacts_and_tropical_diseases_in_colombia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Shows comparative trend between air temperature in Colombia and levels of malaria and dengue fever. When temperatures increase, especially in combination with more precipitation, vector borne diseases like malaria and dengue fever increase in frequency and distribution. In particular, areas where the minimum night temperatures increase provide the best conditions for the growth and spread of Anopheline spp. and Aedes aegypti mosquitoes. (McCarthy et al 2001) Extreme weather variability may also lead to heat stress among vulnerable populations, especially in poor areas. Prolonged heat can also enhance production of smog and dispersal of allergens.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate_impacts_and_tropical_diseases_in_colombia_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>206</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Shows comparative trend between air temperature in Colombia and levels of malaria and dengue fever. When temperatures increase, especially in combination with more precipitation, vector borne diseases like malaria and dengue fever increase in frequency and distribution. In particular, areas where the minimum night temperatures increase provide the best conditions for the growth and spread of Anopheline spp. and Aedes aegypti mosquitoes. (McCarthy et al 2001) Extreme weather variability may also lead to heat stress among vulnerable populations, especially in poor areas. Prolonged heat can also enhance production of smog and dispersal of allergens.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate_impacts_and_tropical_diseases_in_colombia.jpg</g:image_link>
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<g:label>CO</g:label>
<g:label>climate change</g:label>
<g:label>air temperature</g:label>
<g:label>disease</g:label>
<g:label>epidemiology</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CO</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Colombia National Communication to the UNFCCC 2001</dc:source>
<geo:lat>4</geo:lat>
<geo:long>-73.5</geo:long>
<georss:where>
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<gml:lowerCorner>-4 -81</gml:lowerCorner>
<gml:upperCorner>12 -66</gml:upperCorner>
</gml:Envelope>
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</item>
<item>
<title>Climate impacts of El Niño Phenomenon in Latin America and the Caribbean</title>
<link>http://maps.grida.no/go/graphic/climate_impacts_of_el_ni_o_phenomenon_in_latin_america_and_the_caribbean</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>El Niño Southern Oscillation (ENSO) is a natural phenomenon that has occurred for centuries. Ocean and atmospheric conditions in the Pacific tend to fluctuate between El Niño (warming) and a drop in temperature in the tropical Pacific known as La Niña. The fluctuations are rather irregular, but tend to appear every three to six years. A more intensive phase of each event may last for about a year. A warming climate may contribute to an increase in frequency and intensity of the El Niño phenomenon. The impacts may be significant at regional levels. In Central America, El Niño leads to excessive rainfall along the Caribbean coasts, while the Pacific coasts will remain dry. Rainfall increases on the coasts of Ecuador, the northern part of Peru, and southern zones of Chile. In Ecuador, Peru and Bolivia there will be drought in the mountainous and Andean zones, implying retreat of glaciers with subsequent changes in the availability of water and in local biodiversity.
In Colombia, Venezuela and Guyana precipitation will tend to be reduced, leading to drought in the Brazilian northeast. In Argentina, Paraguay and Uruguay rainfall will increase and there will be a rise in temperatures in the southern part of Brazil.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate_impacts_of_el_ni_o_phenomenon_in_latin_america_and_the_caribbean_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>145</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>El Niño Southern Oscillation (ENSO) is a natural phenomenon that has occurred for centuries. Ocean and atmospheric conditions in the Pacific tend to fluctuate between El Niño (warming) and a drop in temperature in the tropical Pacific known as La Niña. The fluctuations are rather irregular, but tend to appear every three to six years. A more intensive phase of each event may last for about a year. A warming climate may contribute to an increase in frequency and intensity of the El Niño phenomenon. The impacts may be significant at regional levels. In Central America, El Niño leads to excessive rainfall along the Caribbean coasts, while the Pacific coasts will remain dry. Rainfall increases on the coasts of Ecuador, the northern part of Peru, and southern zones of Chile. In Ecuador, Peru and Bolivia there will be drought in the mountainous and Andean zones, implying retreat of glaciers with subsequent changes in the availability of water and in local biodiversity.
In Colombia, Venezuela and Guyana precipitation will tend to be reduced, leading to drought in the Brazilian northeast. In Argentina, Paraguay and Uruguay rainfall will increase and there will be a rise in temperatures in the southern part of Brazil.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate_impacts_of_el_ni_o_phenomenon_in_latin_america_and_the_caribbean.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/921CFE41-D7E3-4B0B-9CB2-ED4DAE1F16F4</guid>
<g:label>geolameric</g:label>
<g:label>El Niño</g:label>
<g:label>climate change</g:label>
<g:label>enso</g:label>
<g:label>southern oscillation</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IPCC 2001, FAO 2002, UNEP 2003</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate scenarios for cereal production</title>
<link>http://maps.grida.no/go/graphic/climate-scenarios-for-cereal-production</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The figure shows change in cereals production under three different GCM equilibrium scenarios (percent from base estimated in 2060). While there are still uncertainties about whether climate change will cause global agricultural production to increase or decrease, changes in the aggregate level of production are expected to be small or moderate. The result of the studies that have been conducted so far vary depending on such variables as the trade models and market assumptions that are used.For example, the difference between agricultural impacts in developed and developing countries can be reinforced by markets and depending on the trade model used, agricultural exporters may gain even though their supplies fall as a result of higher world prices. The figure also illustrates how trade and adaptation capability can interact. Developing country production levels fell more as compared with those of developed countries under adaptation level 1 because their estimated capability to adapt was less than in developed countries. The situation reverses under adaptation level 2.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-scenarios-for-cereal-production_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>175</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The figure shows change in cereals production under three different GCM equilibrium scenarios (percent from base estimated in 2060). While there are still uncertainties about whether climate change will cause global agricultural production to increase or decrease, changes in the aggregate level of production are expected to be small or moderate. The result of the studies that have been conducted so far vary depending on such variables as the trade models and market assumptions that are used.For example, the difference between agricultural impacts in developed and developing countries can be reinforced by markets and depending on the trade model used, agricultural exporters may gain even though their supplies fall as a result of higher world prices. The figure also illustrates how trade and adaptation capability can interact. Developing country production levels fell more as compared with those of developed countries under adaptation level 1 because their estimated capability to adapt was less than in developed countries. The situation reverses under adaptation level 2.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-scenarios-for-cereal-production.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FE0FDA5E-76D3-444D-9F8E-557D838F5514</guid>
<g:label>global</g:label>
<g:label>Climate change</g:label>
<g:label>agriculture</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Climate change 1995, Impacts, adaptations and mitigation of climate change: scientific-technical analyses, contribution of working group 2 to the second assessment report of the intergovernmental panel on climate change, UNEP and WMO, Cambridge press univeristy, 1996</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Climate zones of the Caucasus ecoregion</title>
<link>http://maps.grida.no/go/graphic/climate-zones-of-the-caucasus-ecoregion</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>WWF-Caucasus, design Manana Kurtubadze</mapsgrida:designer>
<description>The Caucasus ecoregion covers an area of 580,000 km2, and includes six countries. The Greater Caucasus Mountain Range with its lofty peaks forms a formidable barrier between the northern and southern parts of the ecoregion. The Lesser Caucasus mountain chain extends across Georgia, Turkey, Armenia, Azerbaijan and into Iran. The climates in the regions mountaineous and temperature.</description>
<pubDate>Mon, 04 Feb 2008 13:15:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/climate-zones-of-the-caucasus-ecoregion_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>188</mapsgrida:thumbnailHeight>
<g:author>WWF-Caucasus, design Manana Kurtubadze</g:author>
<mapsgrida:descriptionnonhtml>The Caucasus ecoregion covers an area of 580,000 km2, and includes six countries. The Greater Caucasus Mountain Range with its lofty peaks forms a formidable barrier between the northern and southern parts of the ecoregion. The Lesser Caucasus mountain chain extends across Georgia, Turkey, Armenia, Azerbaijan and into Iran. The climates in the regions mountaineous and temperature.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/climate-zones-of-the-caucasus-ecoregion.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/851D20CD-1422-1274-E98A-EC71640F780D</guid>
<g:label>caucaususecoregion</g:label>
<g:label>climate</g:label>
<g:label>precipitation</g:label>
<g:label>temperature</g:label>
<dc:contributor>WWF-Caucasus, design Manana Kurtubadze</dc:contributor>
<dc:coverage>caucaususecoregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WWF-Caucasus</dc:source>
<geo:lat>36.5</geo:lat>
<geo:long>44.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 38</gml:lowerCorner>
<gml:upperCorner>45 51</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 air emissions by sources in 1995</title>
<link>http://maps.grida.no/go/graphic/co2_air_emissions_by_sources_in_1995</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows CO2 air emissions from selected countries by various sources in 1995. Among the anthropogenic sources of CO2 air emissions are fossil fuel combustion, cement production and land-use conversion.</description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivenc10_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows CO2 air emissions from selected countries by various sources in 1995. Among the anthropogenic sources of CO2 air emissions are fossil fuel combustion, cement production and land-use conversion.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivenc10_l.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7012BA16-7DEA-43F8-BDF1-BEE003BEE48D</guid>
<g:label>nordic</g:label>
<g:label>Atmosphere</g:label>
<g:label>Climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>pollution</g:label>
<g:label>CO2</g:label>
<g:label>carbon dioxide</g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EEA 1998</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 concentration in the atmosphere (1959-1998)</title>
<link>http://maps.grida.no/go/graphic/co2-concentration-in-the-atmosphere-1959-1998</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>CO2 concentrations in the atmosphere have been measured at an altitude of about 4,000 meters on the peak of Mauna Loa mountain in Hawaii since 1958. The measurements at this location, remote from local sources of pollution, have clearly shown that atmospheric concentrations of CO2 are increasing. The mean concentration of approximately 316 parts per million by volume (ppmv) in 1958 rose to approximately 369 ppmv in 1998. The annual variation is due to CO2 uptake by growing plants. The uptake is highest in the northern hemisphere springtime.</description>
<pubDate>Thu, 16 Aug 2007 11:35:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/co2-concentration-in-the-atmosphere-1959-1998_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>219</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>89</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>CO2 concentrations in the atmosphere have been measured at an altitude of about 4,000 meters on the peak of Mauna Loa mountain in Hawaii since 1958. The measurements at this location, remote from local sources of pollution, have clearly shown that atmospheric concentrations of CO2 are increasing. The mean concentration of approximately 316 parts per million by volume (ppmv) in 1958 rose to approximately 369 ppmv in 1998. The annual variation is due to CO2 uptake by growing plants. The uptake is highest in the northern hemisphere springtime.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/co2-concentration-in-the-atmosphere-1959-_999.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A9E41180-3088-4EB7-918F-5263D2D3EB37</guid>
<g:label>US</g:label>
<g:label>Climate change</g:label>
<g:label>global warming</g:label>
<g:label>carbon dioxide</g:label>
<g:label>greenhouse gases</g:label>
<g:label>greenhouse effect</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>US</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Scripps insitution of oceanography (SIO), University of California, 1998</dc:source>
<geo:lat>44.5</geo:lat>
<geo:long>-122</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>18 -178</gml:lowerCorner>
<gml:upperCorner>71 -66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions from coal, gas and oil for selected regions</title>
<link>http://maps.grida.no/go/graphic/co2_emissions_from_coal_gas_and_oil_for_selected_regions</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Graph showing the amount (in millions of metric tonnes) of CO2 emissions from coal, gas and oil. Covers the years from 1990-2000 and predicts the trend to 2020. Information on the United States, Western Europe, Eastern Europe and the former Soviet Union and Africa is included.</description>
<pubDate>Mon, 08 May 2006 11:13:09 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/batch1tn_co2emiproduct.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>112</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Graph showing the amount (in millions of metric tonnes) of CO2 emissions from coal, gas and oil. Covers the years from 1990-2000 and predicts the trend to 2020. Information on the United States, Western Europe, Eastern Europe and the former Soviet Union and Africa is included.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/batch1co2emiproduct.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/86CBE9EC-9220-4689-BDD2-462BA0BFC4A8</guid>
<g:label>global</g:label>
<g:label>climate change</g:label>
<g:label>co2 emissions</g:label>
<g:label>oil</g:label>
<g:label>gas</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Energy Information Administration/International Energy Outlook 2001, based on EIA, International Energy Annual 1999, DOE/EIA-0219(99) Washington DC, Jan. 2001 and EIA, World energy projection systel 200.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions from consumption and flaring of fossil fuels</title>
<link>http://maps.grida.no/go/graphic/co2_emissions_from_consumption_and_flaring_of_fossil_fuels</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>A line graph showing the progress of CO2 emissions created from consumption and flaring of fossil fuels from 1980 to 2002. Indicates that Eastern Europe and Former Soviet Union is the only region to have a reduction.
Emissions are not usually monitored directly, but are generally estimated using models. Some emissions can be calculated with only limited accuracy. Emissions from energy and industrial processes are the most reliable (using energy consumption statistics and industrial point sources).</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_co2_emissions_from_consumption_and_flaring_of_fossil_fuels.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>528</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>A line graph showing the progress of CO2 emissions created from consumption and flaring of fossil fuels from 1980 to 2002. Indicates that Eastern Europe and Former Soviet Union is the only region to have a reduction.
Emissions are not usually monitored directly, but are generally estimated using models. Some emissions can be calculated with only limited accuracy. Emissions from energy and industrial processes are the most reliable (using energy consumption statistics and industrial point sources).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_co2_emissions_from_consumption_and_flaring_of_fossil_fuels.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/40ADCB88-F432-4B89-8F27-FC37308A30D0</guid>
<g:label>global</g:label>
<g:label>CO2</g:label>
<g:label>emissions</g:label>
<g:label>fossil fuel</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EIA,2002</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions from fossil fuels by region</title>
<link>http://maps.grida.no/go/graphic/co2-emissions-from-fossil-fuels-by-region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data.</description>
<pubDate>Mon, 05 Oct 2009 13:20:28 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/co2-emissions-from-fossil-fuels-by-region_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>160</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/co2-emissions-from-fossil-fuels-by-region_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/138228BD-161F-10DC-58F5-1518602C3429</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>GEO Data Portal, compiled from UNFCCC-CDIAC 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions from industrial processes and land use change</title>
<link>http://maps.grida.no/go/graphic/co2_emissions_from_industrial_processes_and_land_use_change</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>2 thematical maps:
(1) CO2 emissions from industrial processes (http://www.grida.no/climate/vital/09.htm): This map depicts the unequal distribution of industry in the world. The significant part of carbon dioxide emissions comes from energy production, industrial processes and transport. The industrialised countries consequently must bear the main responsibility of reducing emissions of carbon dioxide.
(2): CO2 emissions from land use change.(http://www.grida.no/climate/vital/10.htm):
Emissions of carbon dioxide due to changes in land use mainly come from the cutting down of forests and instead using the land for agriculture or built-up areas, urbanisation, roads etc. When large areas of rain forests are cut down, the land often turns into less productive grasslands with considerably less capacity of storing CO2</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/co2_emissions_from_industrial_processes_and_land_use_change_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>114</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>2 thematical maps:
(1) CO2 emissions from industrial processes (http://www.grida.no/climate/vital/09.htm): This map depicts the unequal distribution of industry in the world. The significant part of carbon dioxide emissions comes from energy production, industrial processes and transport. The industrialised countries consequently must bear the main responsibility of reducing emissions of carbon dioxide.
(2): CO2 emissions from land use change.(http://www.grida.no/climate/vital/10.htm):
Emissions of carbon dioxide due to changes in land use mainly come from the cutting down of forests and instead using the land for agriculture or built-up areas, urbanisation, roads etc. When large areas of rain forests are cut down, the land often turns into less productive grasslands with considerably less capacity of storing CO2</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/co2_emissions_from_industrial_processes_and_land_use_change.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/458D74DA-312A-4E34-8247-39B39D0A4842</guid>
<g:label>global</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>carbon dioxide</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Climate Change Information Kit, UNEPs Information Unit for Conventions (IUC) (feb 97)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions from industrial processes and land use changes</title>
<link>http://maps.grida.no/go/graphic/co2_emissions_from_industrial_processes_and_land_use_changes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Shows the different levels of CO2 emissions from industrial processes and land use changes from different regions.
The major greenhouse gases are included within six sectors: Energy; Industrial Processes; Solvent and Other Product Use; Agriculture; Land Use Change and Forestry; and Waste.
Contributing to emissions
Historically the developed countries of the world have emitted most of the anthropogenic greenhouse gases. The U.S. emits most in total, and is one of the countries with highest emissions per capita. China is the second largest emitter, but has very low emissions per capita. Over the last 20 years, industrial development has led to a rapid rise in the volume of emissions from Asia, but on a per capita basis, emissions in this region are still at the bottom of the global scale.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_co2_emissions_from_industrial_processes_and_land_use_changes.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>116</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Shows the different levels of CO2 emissions from industrial processes and land use changes from different regions.
The major greenhouse gases are included within six sectors: Energy; Industrial Processes; Solvent and Other Product Use; Agriculture; Land Use Change and Forestry; and Waste.
Contributing to emissions
Historically the developed countries of the world have emitted most of the anthropogenic greenhouse gases. The U.S. emits most in total, and is one of the countries with highest emissions per capita. China is the second largest emitter, but has very low emissions per capita. Over the last 20 years, industrial development has led to a rapid rise in the volume of emissions from Asia, but on a per capita basis, emissions in this region are still at the bottom of the global scale.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/co2_emissions_from_industrial_processes_and_land_use_changes.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/6F3CFF0A-FE16-4670-B1CB-77AD05CFF241</guid>
<g:label>global</g:label>
<g:label>CO2</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse gases</g:label>
<g:label>sinks</g:label>
<g:label>land use</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>For Industry: IEA, CDIAC, WRI (The Climate Analysis Indicator tools)
For Land Use Change: Houghton, R.A. 2003. '93Emissions (and Sinks) of Carbon from Land-Use Change. '94 (Estimates of national sources and sinks of carbon resulting from changes in land use, 1950 to 2000). Report to the World Resources Institute from the Woods Hole Research Canter. WRI (The Climate Analysis Indicator tools)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions from industry</title>
<link>http://maps.grida.no/go/graphic/co2-emissions-from-industry</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This map depicts the unequal distribution of industry in the world. The significant part of carbon dioxide emissions comes from energy production, industrial processes and transport. The industrialised countries consequently must bear the main responsibility of reducing emissions of carbon dioxide.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/co2-emissions-from-industry_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>154</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This map depicts the unequal distribution of industry in the world. The significant part of carbon dioxide emissions comes from energy production, industrial processes and transport. The industrialised countries consequently must bear the main responsibility of reducing emissions of carbon dioxide.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/co2-emissions-from-industry.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FC5722E1-0F0D-4803-859C-56CCFB800DFF</guid>
<g:label>global</g:label>
<g:label>Climate change</g:label>
<g:label>greenhouse gases</g:label>
<g:label>co2</g:label>
<g:label>carbon dioxide</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>United Nations framework convention on climate change (UNFCCC)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions from land use change </title>
<link>http://maps.grida.no/go/graphic/co2-emissions-from-land-use-change</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions of carbon dioxide due to changes in land use mainly come from the cutting down of forests and instead using the land for agriculture or built-up areas, urbanisation, roads etc. When large areas of rain forests are cut down, the land often turns into less productive grasslands with considerably less capacity of storing CO2.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/co2-emissions-from-land-use-change_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>154</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions of carbon dioxide due to changes in land use mainly come from the cutting down of forests and instead using the land for agriculture or built-up areas, urbanisation, roads etc. When large areas of rain forests are cut down, the land often turns into less productive grasslands with considerably less capacity of storing CO2.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/co2-emissions-from-land-use-change.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F0E21C8E-2CAA-4719-A1F2-A9AE5CC96FC7</guid>
<g:label>global</g:label>
<g:label>Climate change</g:label>
<g:label>land use</g:label>
<g:label>forests</g:label>
<g:label>agriculture</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Climate Change information kit, UNEP IUC, 1997</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions from selected German transportation means</title>
<link>http://maps.grida.no/go/graphic/co2-emissions-from-selected-german-transportation-means</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The results depend a lot on the occupancy rates (in pink, the average German rates used here).</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/co2-emissions-from-selected-german-transportation-means_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>183</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The results depend a lot on the occupancy rates (in pink, the average German rates used here).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/co2-emissions-from-selected-german-transportation-means.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7357DCF7-9620-16BF-CEAF-14D820B9210C</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions from transportation in 2000; selected countries of Latin America and the Caribbean</title>
<link>http://maps.grida.no/go/graphic/co2_emissions_from_transportation_in_2000_selected_countries_of_latin_america_and_the_caribbean</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>A comparison of transportation CO2 emissions from selected Latin American and Caribbean countries.
Increased transport is one of the main reasons for increased CO2 emissions, both in developed and developing countries.
During the 1990s the increase in emissions from transport in South America was higher than the world average, while the increase in Central America and the Caribbean was similar to world average.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/co2_emissions_from_transportation_in_2000_selected_countries_of_latin_america_and_the_caribbean_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>175</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>A comparison of transportation CO2 emissions from selected Latin American and Caribbean countries.
Increased transport is one of the main reasons for increased CO2 emissions, both in developed and developing countries.
During the 1990s the increase in emissions from transport in South America was higher than the world average, while the increase in Central America and the Caribbean was similar to world average.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/co2_emissions_from_transportation_in_2000_selected_countries_of_latin_america_and_the_caribbean.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/4CA76636-0253-473C-A1A3-D3378AC7296F</guid>
<g:label>geolameric</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse gases</g:label>
<g:label>CO2</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>International Energy Agency 2001</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions in 1990 and 2000 Latin America and selected countries</title>
<link>http://maps.grida.no/go/graphic/co2_emissions_in_1990_and_2000_latin_america_and_selected_countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>A comparison of the total level of CO2 emissions from Latin America compared to selected countries.
Emissions from Latin America and Caribbean increased more than the world average between 1990 and 2000. The increase inthis region was more than 35% while the total increase in the world's emission (excluding land use change) was almost 13%.
In South America the increase came mainly from industry and transport, where emissions increased by more than 40% between 1990 and 1999. The increase in emissions from electricity and heat production was more than 70%, but these emissions are still lower than emissions from transport and industry.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/co2_emissions_in_1990_and_2000_latin_america_and_selected_countries_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>154</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>A comparison of the total level of CO2 emissions from Latin America compared to selected countries.
Emissions from Latin America and Caribbean increased more than the world average between 1990 and 2000. The increase inthis region was more than 35% while the total increase in the world&apos;s emission (excluding land use change) was almost 13%.
In South America the increase came mainly from industry and transport, where emissions increased by more than 40% between 1990 and 1999. The increase in emissions from electricity and heat production was more than 70%, but these emissions are still lower than emissions from transport and industry.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/co2_emissions_in_1990_and_2000_latin_america_and_selected_countries.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/83E45A69-E6D1-4AC2-B825-032C02728F9F</guid>
<g:label>geolameric</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse gases</g:label>
<g:label>CO2</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank 2004; World Resources Institute</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions in the world and in Latin America and the Caribbean</title>
<link>http://maps.grida.no/go/graphic/co2_emissions_in_the_world_and_in_latin_america_and_the_caribbean</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>A comparison between the amount of CO2 emissions of the world and latin America and the Caribbean.
Since pre-industrial times, the atmospheric concentration of greenhouse gases has grown significantly. The present level of carbon dioxide concentration (around 375 parts per million) is the highest for 420,000 years, and probably the highest for the past 20 million years. CO2 is the greenhouse gas that contributes most to the enhanced greenhouse effect, because of the quantity of the emissions. CO2 comes from burning fossil fuels, cement production and land use change.
In 2000, Latin America and the Caribbean contributed 5, 5% of the world’s total CO2 emissions (excluding land use change). The total global CO2 emissions were estimated at 24 000 million tonnes.
CO2 emissions from land use change and forestry from the region comprised 30% of the world's total. This was attributed to the destruction of the rainforest</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/co2_emissions_in_the_world_and_in_latin_america_and_the_caribbean_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>162</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>A comparison between the amount of CO2 emissions of the world and latin America and the Caribbean.
Since pre-industrial times, the atmospheric concentration of greenhouse gases has grown significantly. The present level of carbon dioxide concentration (around 375 parts per million) is the highest for 420,000 years, and probably the highest for the past 20 million years. CO2 is the greenhouse gas that contributes most to the enhanced greenhouse effect, because of the quantity of the emissions. CO2 comes from burning fossil fuels, cement production and land use change.
In 2000, Latin America and the Caribbean contributed 5, 5% of the world’s total CO2 emissions (excluding land use change). The total global CO2 emissions were estimated at 24 000 million tonnes.
CO2 emissions from land use change and forestry from the region comprised 30% of the world&apos;s total. This was attributed to the destruction of the rainforest</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/co2_emissions_in_the_world_and_in_latin_america_and_the_caribbean.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/0627B4BD-DDBE-4E3C-AABE-F8A6ABB0F9DB</guid>
<g:label>geolameric</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse gases</g:label>
<g:label>CO2</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Resources Institute</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions per person in Latin America and the Caribbean compared to the world and OECD average emissions</title>
<link>http://maps.grida.no/go/graphic/co2-emissions-per-person-in-latin-america-and-the-caribbean-compared-to-the-world-and-oecd-average-emissions</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions of greenhouse gases are on the increase around the world, contributing to man-made global warming and climate change. This graphic displays greenhouse gas emissions per capita in Latin America and the Caribbean compared to countries in the Organisation for Economic Co-operation and Development (OECD).</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_21.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>148</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions of greenhouse gases are on the increase around the world, contributing to man-made global warming and climate change. This graphic displays greenhouse gas emissions per capita in Latin America and the Caribbean compared to countries in the Organisation for Economic Co-operation and Development (OECD).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/21.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9A27B03C-A8CE-4EB5-8B81-BB13361A2F32</guid>
<g:label>geolameric</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse gases</g:label>
<g:label>CO2</g:label>
<g:label>global warming</g:label>
<g:label>greenhouse effect</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank 2004: CArbon Dioxide Information Analysis Center 2004; WRI, Earth Trends, Climate and atmosphere, Trinidad and Tobago: http://earthtrends.wri.org/pdf_library/country_profiles/Cli_cou_780.pdf</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>CO2 emissions, energy use and economic development; Latin America and the Caribbean</title>
<link>http://maps.grida.no/go/graphic/co2_emissions_energy_use_and_economic_development_latin_america_and_the_caribbean</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Economic growth and increased energy demand are closely linked to increased emissions of CO2.
If there is a shock in the economy, the response as reduced emissions of CO2, can be almost without inertia if the shock is large. The 'oil crisis' in the early seventies-- during which energy prices rose substantially over a short period of time -- led to an almost immediate and sustained divergence of the formerly closely linked emissions and GDP in most developed countries.
Stabilization of atmospheric CO2 concentration at levels below 600 ppm (1, 6 times higher than today’s level) is only possible with reductions in carbon intensity and/or energy intensity greater than have been achieved historically.
Low historical rates of improvement in energy intensity (energy use per unit GDP) reflect the relatively low priority placed on energy efficiency by most producers and users of technology.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/co2_emissions_energy_use_and_economic_development_latin_america_and_the_caribbean_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>169</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Economic growth and increased energy demand are closely linked to increased emissions of CO2.
If there is a shock in the economy, the response as reduced emissions of CO2, can be almost without inertia if the shock is large. The &apos;oil crisis&apos; in the early seventies-- during which energy prices rose substantially over a short period of time -- led to an almost immediate and sustained divergence of the formerly closely linked emissions and GDP in most developed countries.
Stabilization of atmospheric CO2 concentration at levels below 600 ppm (1, 6 times higher than today’s level) is only possible with reductions in carbon intensity and/or energy intensity greater than have been achieved historically.
Low historical rates of improvement in energy intensity (energy use per unit GDP) reflect the relatively low priority placed on energy efficiency by most producers and users of technology.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/co2_emissions_energy_use_and_economic_development_latin_america_and_the_caribbean.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5C56D438-2B1B-44C2-83C4-EE0EB8A5D108</guid>
<g:label>geolameric</g:label>
<g:label>emissions</g:label>
<g:label>CO2</g:label>
<g:label>energy</g:label>
<g:label>economy</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Resources Institute</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coastal and Marine Protected Areas</title>
<link>http://maps.grida.no/go/graphic/coastal_and_marine_protected_areas</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic includes marine protected areas and
protected areas with major or minor marine components. This was part of the the Conservation of Arctic Flora and Fauna (CAFF), Habitat Conservation Report No. 2.</description>
<pubDate>Fri, 17 Feb 2006 16:03:28 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coastal_and_marine_protected_areas_thumbnail.png</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>161</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic includes marine protected areas and
protected areas with major or minor marine components. This was part of the the Conservation of Arctic Flora and Fauna (CAFF), Habitat Conservation Report No. 2.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coastal_and_marine_protected_areas_001.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1162DE0C-E668-8E33-0D2C-12122433AD09</guid>
<g:label>geoarctic</g:label>
<g:label>Conservation of Arctic Flora and Fauna</g:label>
<g:label>CAFF</g:label>
<g:label>coasts</g:label>
<g:label>maritime</g:label>
<g:label>Arctic</g:label>
<g:label>biodiversity</g:label>
<g:label>protected areas</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Source data supplied by CAFF member countries</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coastal Arctic food web (drift ice)</title>
<link>http://maps.grida.no/go/graphic/coastal-arctic-food-web-drift-ice</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The coastal Arctic food web is closely related to drift ice conditions and seasonal use of shorelines by both terrestrial and sea mammals. Numerous species depend upon each other and the transport of food to and from the marine areas to the coast and inland. Indigenous peoples use most of the food chain and traditionally use both environments for hunting, fishing and gathering.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coastal-arctic-food-web-drift-ice_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>175</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The coastal Arctic food web is closely related to drift ice conditions and seasonal use of shorelines by both terrestrial and sea mammals. Numerous species depend upon each other and the transport of food to and from the marine areas to the coast and inland. Indigenous peoples use most of the food chain and traditionally use both environments for hunting, fishing and gathering.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coastal-arctic-food-web-drift-ice.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A0AF723D-96CB-4178-9C95-1825385BA6F8</guid>
<g:label>geoarctic</g:label>
<g:label>food</g:label>
<g:label>species</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP/GRID-Arendal, 1997. Arctic Climate Impact Assessment (ACIA), 2004.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coastal issues in the islands of Comoros and Mayotte</title>
<link>http://maps.grida.no/go/graphic/coastal_issues_in_the_islands_of_comoros_and_mayotte</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>With poverty and high population density this group of volcanic islands between Eastern Africa and Madagascar faces challenges in the management of the coastal environment. The islands are fringed by magnificent coral reefs, and the waters houses the rare coelacanth fish. Among the responses there have been initiatives to encourage ecotourism and the support in establishing the 400 km2 Mohéli Marine Park.</description>
<pubDate>Thu, 02 Nov 2006 16:51:57 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coastal_issues_in_the_islands_of_comoros_and_mayotte_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>155</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>With poverty and high population density this group of volcanic islands between Eastern Africa and Madagascar faces challenges in the management of the coastal environment. The islands are fringed by magnificent coral reefs, and the waters houses the rare coelacanth fish. Among the responses there have been initiatives to encourage ecotourism and the support in establishing the 400 km2 Mohéli Marine Park.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coastal_issues_in_the_islands_of_comoros_and_mayotte_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EDE2C956-EEA6-90EA-8E87-12EC05C89255</guid>
<g:label>KM</g:label>
<g:label>erosion</g:label>
<g:label>coral reefs</g:label>
<g:label>biodiversity</g:label>
<g:label>poverty</g:label>
<g:label>western indian ocean</g:label>
<g:label>indian ocean</g:label>
<g:label>coelacanth</g:label>
<g:label>sea turtles</g:label>
<g:label></g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>KM</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP Western Indian Ocean Environment Outlook (1999).UNEP/GIWA Indian Ocean Islands, Giwa Regional assessment 45b (2004).CORDIO Status report (1999).ORNL LandScan 2004 (2005).</dc:source>
<geo:lat>-11.5</geo:lat>
<geo:long>43.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-12 43</gml:lowerCorner>
<gml:upperCorner>-11 44</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coastal population and altered coastal zones</title>
<link>http://maps.grida.no/go/graphic/coastal-population-and-altered-coastal-zones</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Coastal areas with high population densities are those with the most shoreline degradation or alteration. Densely populated areas close to seas are also the most attractive for a lot of economic activity. The graphic shows the proportion of the population that lives within 100 km of the coast, for each of the world's nations and where there are coastal zones with high degree of human alteration (compared to 'natural' landcover). In addition, the locations of selected larger coastal cities are presented.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coastal-population-and-altered-coastal-zones_thumbnail_006.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>182</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Coastal areas with high population densities are those with the most shoreline degradation or alteration. Densely populated areas close to seas are also the most attractive for a lot of economic activity. The graphic shows the proportion of the population that lives within 100 km of the coast, for each of the world&apos;s nations and where there are coastal zones with high degree of human alteration (compared to &apos;natural&apos; landcover). In addition, the locations of selected larger coastal cities are presented.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coastal-population-and-altered-coastal-zones_006.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9962BB1C-AC00-4750-A6A5-74A8EDD4850F</guid>
<g:label>global</g:label>
<g:label>coastal issues</g:label>
<g:label>shoreline degradation</g:label>
<g:label>shoreline alteration</g:label>
<g:label>shoreline modification</g:label>
<g:label>demography</g:label>
<g:label>population</g:label>
<g:label>marine issues</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Burke et al, World Resources Institute (WRI), Washington DC, 2001; Paul Harrison and Fred Pearce, AAAS Atlas of Population and Environment 2001, AAAS, University of California Press, Berkeley.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coastal population and altered land cover in coastal zones (100 km of coastline)</title>
<link>http://maps.grida.no/go/graphic/coastal-population-and-altered-land-cover-in-coastal-zones-100-km-of-coastline</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Coastal areas with high population densities are those with the most shoreline degradation or alteration. Densely populated areas close to seas are also the most attractive for a lot of economic activity. The graphic shows the proportion of the population that lives within 100 km of the coast, for each of the world's nations and where there are coastal zones with high degree of human alteration (compared to 'natural' landcover). In addition, the locations of selected larger coastal cities are presented. Please note that the data and study for the coastal zones uses data from 1993-1996 and has some inconsistencies, e.g. the data for Australia needs to be revised.</description>
<pubDate>Thu, 25 Oct 2007 16:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coastal-population-and-altered-land-cover-in-coastal-zones-100-km-of-coastline_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>159</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Coastal areas with high population densities are those with the most shoreline degradation or alteration. Densely populated areas close to seas are also the most attractive for a lot of economic activity. The graphic shows the proportion of the population that lives within 100 km of the coast, for each of the world&apos;s nations and where there are coastal zones with high degree of human alteration (compared to &apos;natural&apos; landcover). In addition, the locations of selected larger coastal cities are presented. Please note that the data and study for the coastal zones uses data from 1993-1996 and has some inconsistencies, e.g. the data for Australia needs to be revised.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coastal-population-and-altered-land-cover-in-coastal-zones-100-km-of-coastline.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/77064365-EFEE-AB70-191D-138F6732F621</guid>
<g:label>global</g:label>
<g:label>coastal issues</g:label>
<g:label>shoreline degradation</g:label>
<g:label>shoreline alteration</g:label>
<g:label>shoreline modification</g:label>
<g:label>demography</g:label>
<g:label>population</g:label>
<g:label>marine issues</g:label>
<dc:contributor>Philippe Rekacewicz, Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Burke et al, World Resources Institute (WRI), Washington DC, 2001; Paul Harrison and Fred Pearce, AAAS Atlas of Population and Environment 2001, AAAS, University of California Press, Berkeley.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coastal population and shoreline degradation</title>
<link>http://maps.grida.no/go/graphic/coastal-population-and-shoreline-degradation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 15:26:55 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coastal-population-and-shoreline-degradation_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>79</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coastal-population-and-shoreline-degradation_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/16B99614-CC10-C058-5612-B10BE6EA49DC</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Adapted from UNEP 2002b, based on Burke and others 2001, Harrison and Pearce 2001</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coastal populations and shoreline degradation</title>
<link>http://maps.grida.no/go/graphic/coastal-populations-and-shoreline-degradation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Phillippe Rekacewicz, February 2006</mapsgrida:designer>
<description>Unsurprisingly, the coastal areas with the greatest population densities are also those with the most shoreline degradation.
The areas surrounding the Black Sea, the Mediterranean and southern Asia have the highest proportion of altered land, while the coastal zones of the Arctic, northeast Pacific, south Pacific, West and Central Africa, East Africa, the Red Sea/Gulf of Aden, and Kuwait have the highest proportions of least modified land.
In order to better manage and protect the oceans and coasts using effective methods such as Integrated Coastal Management, we also need to continuously improve our understanding of the current state of biophysical, social, and economic relationships and formulate sustainable, ecosystem-based policies and measures that are supported by assessments at national, regional and global scales. Also needed is an overview of the global marine environment that encompasses socio-economic considerations and shows the linkages between the state of the marine environment and human well-being.
In response to these needs, the United Nations General Assembly (UNGA) has requested, through Resolution 60/30, that UNEP and UNESCO-IOC co-lead a process which aims to provide a better understanding of the marine assessment landscape to determine the ways in which on-going global, regional and national level assessment work and processes can contribute to the regular assessment and reporting of the state of the marine environment.
Options, a framework and the feasibility of establishing such a process (referred to as a ‘Regular Process’) will be proposed to the United Nations General Assembly, in October 2009. Amongst other aims, it will identify linkages between human impacts on the marine environment, environmental change and human well-being and will explore ways to ensure linkages between regions so that issues of common concern can be tackled in a coordinated way, taking into account best practices and regional strengths and capacities.
A Regular Process would thus provide a holistic picture that will improve informed decision-making of our global commons. See http://www.unga-regular-process.org</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coastal-populations-and-shoreline-degradation_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>168</mapsgrida:thumbnailHeight>
<g:author>Phillippe Rekacewicz, February 2006</g:author>
<mapsgrida:descriptionnonhtml>Unsurprisingly, the coastal areas with the greatest population densities are also those with the most shoreline degradation.
The areas surrounding the Black Sea, the Mediterranean and southern Asia have the highest proportion of altered land, while the coastal zones of the Arctic, northeast Pacific, south Pacific, West and Central Africa, East Africa, the Red Sea/Gulf of Aden, and Kuwait have the highest proportions of least modified land.
In order to better manage and protect the oceans and coasts using effective methods such as Integrated Coastal Management, we also need to continuously improve our understanding of the current state of biophysical, social, and economic relationships and formulate sustainable, ecosystem-based policies and measures that are supported by assessments at national, regional and global scales. Also needed is an overview of the global marine environment that encompasses socio-economic considerations and shows the linkages between the state of the marine environment and human well-being.
In response to these needs, the United Nations General Assembly (UNGA) has requested, through Resolution 60/30, that UNEP and UNESCO-IOC co-lead a process which aims to provide a better understanding of the marine assessment landscape to determine the ways in which on-going global, regional and national level assessment work and processes can contribute to the regular assessment and reporting of the state of the marine environment.
Options, a framework and the feasibility of establishing such a process (referred to as a ‘Regular Process’) will be proposed to the United Nations General Assembly, in October 2009. Amongst other aims, it will identify linkages between human impacts on the marine environment, environmental change and human well-being and will explore ways to ensure linkages between regions so that issues of common concern can be tackled in a coordinated way, taking into account best practices and regional strengths and capacities.
A Regular Process would thus provide a holistic picture that will improve informed decision-making of our global commons. See http://www.unga-regular-process.org</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coastal-populations-and-shoreline-degradation_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EBA3C8F6-1297-14F4-CAC3-CB8B9B2644BD</guid>
<g:label>global</g:label>
<g:label>coastal populations</g:label>
<g:label>shoreline</g:label>
<g:label>degradation</g:label>
<g:label>vital</g:label>
<g:label>water</g:label>
<g:label>altered</g:label>
<g:label>land</g:label>
<g:label></g:label>
<dc:contributor>Phillippe Rekacewicz, February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Burke et al., World Research Institute, Washington DC, 2001; Paul Harrison, Fred Pearce, AAAS Atlas of Population and Environment 2001, American Association for the Advancement of Science, University of California Press, Berkley. </dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coastal regions with observations of dense shelf water flushing</title>
<link>http://maps.grida.no/go/graphic/coastal-regions-with-observations-of-dense-shelf-water-flushing</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Knowledge and mapping of these processes is still scarce due to uneven research effort. The map shows sites with known dense shelf water cascading phenomena, which often may involve the 'flushing' effect. It is most likely that this phenomenon is also active off the coast of Alaska, Chile, Argentina and West and southern Africa and in parts of the Indian Ocean. Dense shelf water cascading is highly sensitive to increases in temperature, and hence, climate change.</description>
<pubDate>Fri, 22 Feb 2008 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coastal-regions-with-observations-of-dense-shelf-water-flushing_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>94</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Knowledge and mapping of these processes is still scarce due to uneven research effort. The map shows sites with known dense shelf water cascading phenomena, which often may involve the &apos;flushing&apos; effect. It is most likely that this phenomenon is also active off the coast of Alaska, Chile, Argentina and West and southern Africa and in parts of the Indian Ocean. Dense shelf water cascading is highly sensitive to increases in temperature, and hence, climate change.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coastal-regions-with-observations-of-dense-shelf-water-flushing_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1022D363-A545-14C5-6750-101E51DE18D7</guid>
<g:label>global</g:label>
<g:label>marine issues</g:label>
<g:label>oceans</g:label>
<g:label>sea</g:label>
<g:label>seas</g:label>
<g:label>ocean</g:label>
<g:label>world ocean</g:label>
<g:label>flushing</g:label>
<g:label>sea bottom</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Canals M, Puig P, Durrieu de Madron X, Heussner S, Palanques A, Fabrés J (2006) Flushing submarine Canyons. Nature 444 (7117): 354-357 </dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coastal vulnerability and climate-related impacts</title>
<link>http://maps.grida.no/go/graphic/coastal-vulnerability-and-climate-related-impacts</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data.</description>
<pubDate>Wed, 03 Feb 2010 14:05:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coastal-vulnerability-and-climate-related-impacts_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>221</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coastal-vulnerability-and-climate-related-impacts_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12353D1E-D51B-1415-61A5-742BA36ECF2D</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>NASA, 2009; Columbia University, GRUMP, 2008; UN-Habitat, 2009; ISOCARP Congress, 2009; UNFCCC, 2005.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coastlines under threat</title>
<link>http://maps.grida.no/go/graphic/coastlines_under_threat</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Out of the coastlines of the world, the coasts in Europe, Asia and Africa are of highest concern, and where extra care needs to be taken to ensure that measures are taken to protect the coasts in all aspects (erosion, biodiversity, buffering capacity etc). The graphic shows the ratio of coastlines around the world that are facing moderate or significant threats.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coastlines_under_threat_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>155</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Out of the coastlines of the world, the coasts in Europe, Asia and Africa are of highest concern, and where extra care needs to be taken to ensure that measures are taken to protect the coasts in all aspects (erosion, biodiversity, buffering capacity etc). The graphic shows the ratio of coastlines around the world that are facing moderate or significant threats.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coastlines_under_threat.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7F6F743D-093B-4DF6-89DC-F944938840A9</guid>
<g:label>global</g:label>
<g:label>coastline issues</g:label>
<g:label>marine</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>D. Bryant, E. Rodenburg, T. Cox and D. Nielsen, Coastlines at Risk: an Index of Potential Development-Related Threats to Coastal Ecosystems, World Resources Institute (WRI), Washington DC, 1996.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cold places on the Southern Continent</title>
<link>http://maps.grida.no/go/graphic/cold-places-on-the-southern-continent</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Antarctica is the coldest, driest and windiest continent on Earth. This graph shows the annual temperatures and seasonal variation at three locations in Antarctica - the research bases Bernardo O'Higgins (Chile - on the Antarctic Peninsula), Scott Base (New Zealand - Ross Island) and one of the coldest places on the planet - the Vostok station (Russia - at the center of the East Antarctic Ice Sheet). The surface temperatures are long term averages over all available data.</description>
<pubDate>Thu, 31 Jul 2008 20:21:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cold-places-on-the-southern-continent_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>210</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>210</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Antarctica is the coldest, driest and windiest continent on Earth. This graph shows the annual temperatures and seasonal variation at three locations in Antarctica - the research bases Bernardo O&apos;Higgins (Chile - on the Antarctic Peninsula), Scott Base (New Zealand - Ross Island) and one of the coldest places on the planet - the Vostok station (Russia - at the center of the East Antarctic Ice Sheet). The surface temperatures are long term averages over all available data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cold-places-on-the-southern-continent_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7FA61285-147C-EFDE-1905-145B0FBB66EE</guid>
<g:label>AQ</g:label>
<g:label>ipy</g:label>
<g:label>climate</g:label>
<g:label>temperature</g:label>
<g:label>research</g:label>
<g:label>station</g:label>
<g:label>surface temperature</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AQ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>SCAR Reader Programme. Antarctic Climate Data - surface temperatures. http://www.antarctica.ac.uk/met/READER/ (Accessed April 1, 2008)</dc:source>
<geo:lat>-75</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>-60 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coldwater coral reefs, distribution</title>
<link>http://maps.grida.no/go/graphic/coldwater-coral-reefs-distribution</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Scientists are just beginning to learn about the many species in the remote, deep waters of the polar oceans. Corals, for example, are not limited to the warm, shallow waters of the tropics. They also exist in many cold, deep waters all over the world, including Arctic and sub-Antarctic waters. Coral reefs are marine ridges or mounds, which have formed over millennia as a result of the deposition of calcium carbonate by living organisms, predominantly corals, but also a rich diversity of other organisms such as coralline algae and shellfish. The coldwater reefs are highly susceptible to deep-sea trawling and ocean acidification from climate change, which has its greatest impacts at high latitudes, while tropical reefs will become severely damaged by rising sea temperatures. </description>
<pubDate>Tue, 12 Aug 2008 21:03:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coldwater-coral-reefs-distribution_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>119</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Scientists are just beginning to learn about the many species in the remote, deep waters of the polar oceans. Corals, for example, are not limited to the warm, shallow waters of the tropics. They also exist in many cold, deep waters all over the world, including Arctic and sub-Antarctic waters. Coral reefs are marine ridges or mounds, which have formed over millennia as a result of the deposition of calcium carbonate by living organisms, predominantly corals, but also a rich diversity of other organisms such as coralline algae and shellfish. The coldwater reefs are highly susceptible to deep-sea trawling and ocean acidification from climate change, which has its greatest impacts at high latitudes, while tropical reefs will become severely damaged by rising sea temperatures. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coldwater-coral-reefs-distribution_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D2D9FAA2-147A-9ACA-EBD5-102041E74C38</guid>
<g:label>global</g:label>
<g:label>coral reefs</g:label>
<g:label>coldwater coral</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP World Conservation Monitoring Centre. 2005. Global Cold-Water Coral Distribution (points). Cambridge, UK: UNEP-WCMC</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Collapse of Atlantic cod stocks off the East Coast of Newfoundland in 1992</title>
<link>http://maps.grida.no/go/graphic/collapse-of-atlantic-cod-stocks-off-the-east-coast-of-newfoundland-in-1992</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>From the late 1950s, offshore bottom trawlers began exploiting the deeper part of the stock, leading to a large catch increase and a strong decline in the underlying biomass. Internationally agreed quotas in the early 1970s and, following the declaration by Canada of an Exclusive Fishing Zone in 1977, national quota systems ultimately failed to arrest and reverse the decline.</description>
<pubDate>Sun, 27 Jan 2008 20:02:59 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/collapse-of-atlantic-cod-stocks-off-the-east-coast-of-newfoundland-in-1992_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>171</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>From the late 1950s, offshore bottom trawlers began exploiting the deeper part of the stock, leading to a large catch increase and a strong decline in the underlying biomass. Internationally agreed quotas in the early 1970s and, following the declaration by Canada of an Exclusive Fishing Zone in 1977, national quota systems ultimately failed to arrest and reverse the decline.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/collapse-of-atlantic-cod-stocks-off-the-east-coast-of-newfoundland-in-1992.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11E40582-CFF3-1584-B31F-875E2795B2AD</guid>
<g:label>global</g:label>
<g:label>fish</g:label>
<g:label>industry</g:label>
<g:label>overfishing</g:label>
<g:label>fish stocks</g:label>
<g:label>Newfoundland</g:label>
<g:label>cod fish</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Colonization of West Papua Indonesia</title>
<link>http://maps.grida.no/go/graphic/colonization-of-west-papua-indonesia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 17:08:49 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/colonization-of-west-papua-indonesia_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/colonization-of-west-papua-indonesia.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1008A240-A705-9C5C-0338-6FA0A8621595</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Human Rights Watch</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Comb-jelly (Mnemiopsis leidyi) spreading through the Caspian Sea (invasive species)</title>
<link>http://maps.grida.no/go/graphic/comb-jelly-mnemiopsis-leidyi-spreading-through-the-caspian-sea-invasive-species</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The comb jelly (Mnemiopsis leidyi) is well adapted to the habitat (salinity, temperature, and food range) and reproduces faster than endemic species. As it eats the same food as them, it has had a drastic effect on their numbers, upsetting the entire food chain. The jelly is an invasive species, brought from North America by ships.</description>
<pubDate>Thu, 13 Mar 2008 09:21:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/comb-jelly-mnemiopsis-leidyi-spreading-through-the-caspian-sea-invasive-species_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>151</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The comb jelly (Mnemiopsis leidyi) is well adapted to the habitat (salinity, temperature, and food range) and reproduces faster than endemic species. As it eats the same food as them, it has had a drastic effect on their numbers, upsetting the entire food chain. The jelly is an invasive species, brought from North America by ships.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/comb-jelly-mnemiopsis-leidyi-spreading-through-the-caspian-sea-invasive-species_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11BD34B2-1493-A4EB-6A81-5665E78D17DE</guid>
<g:label>caspiansea</g:label>
<g:label>Comb-jelly</g:label>
<g:label>Mnemiopsis leidyi</g:label>
<g:label>bio-cominants</g:label>
<g:label>species</g:label>
<g:label>disease</g:label>
<g:label>ecosystems</g:label>
<g:label>invasive species</g:label>
<g:label>alien species</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caspiansea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Aladin N.V. (ZIRAS), Chuikov Yu.S. (EPA, Astrakhan), Panov V.E., Plotnikov I.S. (ZIRAS), HELOM-BSRP Meeting on Ballast Waters</dc:source>
<geo:lat>41.5</geo:lat>
<geo:long>51</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 47</gml:lowerCorner>
<gml:upperCorner>47 55</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Common but differentiated responsibilities</title>
<link>http://maps.grida.no/go/graphic/common-but-differentiated-responsibilities</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>All countries can claim “climate credits” by their phase out of ozone depleting substances (ODS) under the Montreal Protocol, and some are beginning to document this contribution. Article 5 countries are those listed as developing and do not have the same goals as industrialized nations.</description>
<pubDate>Sat, 12 Jan 2008 21:36:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/common-but-differentiated-responsibilities_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>85</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>All countries can claim “climate credits” by their phase out of ozone depleting substances (ODS) under the Montreal Protocol, and some are beginning to document this contribution. Article 5 countries are those listed as developing and do not have the same goals as industrialized nations.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/common-but-differentiated-responsibilities_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C00F299C-1163-B2DA-0E8F-D3E59613AAF1</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>chlorofluorocarbons</g:label>
<g:label>CFCs</g:label>
<g:label>depletion</g:label>
<g:label>ozone hole</g:label>
<g:label>ozone depleting substances</g:label>
<g:label>ODS</g:label>
<g:label>Article 5</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>United Nations Environment Programme Ozone Secretariat</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Comparison between modeled temperature rise and observations of temperature since 1860</title>
<link>http://maps.grida.no/go/graphic/comparison_between_modeled_temperature_rise_and_observations_of_temperature_since_1860</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Natural forcing (solar variation and volcanic activity) alone cannot explain the recent global temperature increase. This graphic shows the temperature anomalies (in degrees Celsius) that were expected to occur due to natural forcing only, from the year 1850 to the year 2000, according to climate models, and the actual anomalies that have occurred. The graphic also shows the expected and actual anomalies due to anthropogenic (human-caused) factors only (anomalies due to greenhouse gases and sulfate aerosols). Finally, the graphic shows the expected and actual temperature anomalies that are due to natural and anthropogenic forcing combined.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_comparison_between_modeled_temperature_rise_and_observations_of_temperature_since_1860.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>167</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Natural forcing (solar variation and volcanic activity) alone cannot explain the recent global temperature increase. This graphic shows the temperature anomalies (in degrees Celsius) that were expected to occur due to natural forcing only, from the year 1850 to the year 2000, according to climate models, and the actual anomalies that have occurred. The graphic also shows the expected and actual anomalies due to anthropogenic (human-caused) factors only (anomalies due to greenhouse gases and sulfate aerosols). Finally, the graphic shows the expected and actual temperature anomalies that are due to natural and anthropogenic forcing combined.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_comparison_between_modeled_temperature_rise_and_observations_of_temperature_since_1860.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12692DE9-5105-499C-8555-CEA4B0BC32E2</guid>
<g:label>global</g:label>
<g:label>climate change</g:label>
<g:label>temperature anomaly</g:label>
<g:label>temperature increase</g:label>
<g:label>natural forcing</g:label>
<g:label>anthropogenic forcing</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>'Climate Change 2001. Synthesis Report' p.7 [IPCC]</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Comparison of global river nitrogen export from natural ecosystems, agricultural systems, and sewage effluents, 1975 and 1990</title>
<link>http://maps.grida.no/go/graphic/comparison-of-global-river-nitrogen-export-from-natural-ecosystems-agricultural-systems-and-sewage-e</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Nutrient loading is projected to become an increasingly severe problem, particularly in developing countries. Nutrient loading already has major adverse effects on freshwater ecosystems and coastal regions in both industrial and developing countries.</description>
<pubDate>Sun, 03 Feb 2008 19:25:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/comparison-of-global-river-nitrogen-export-from-natural-ecosystems-agricultural-systems-and-sewage-e_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>242</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Nutrient loading is projected to become an increasingly severe problem, particularly in developing countries. Nutrient loading already has major adverse effects on freshwater ecosystems and coastal regions in both industrial and developing countries.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/comparison-of-global-river-nitrogen-export-from-natural-ecosystems-agricultural-systems-and-sewage-e_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/120F6B71-BFE1-8D74-6284-156888DA1032</guid>
<g:label>global</g:label>
<g:label>water</g:label>
<g:label>rivers</g:label>
<g:label>pollution</g:label>
<g:label>nitrogen</g:label>
<g:label>nutrients</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Comparison of long-term variability of different characteristics of the Black Sea ecosystem</title>
<link>http://maps.grida.no/go/graphic/comparison_of_long_term_variability_of_different_characteristics_of_the_black_sea_ecosystem_giwa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:16 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/comparison_of_long_term_variability_of_different_characteristics_of_the_black_sea_ecosystem_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>410</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/comparison_of_long_term_variability_of_different_characteristics_of_the_black_sea_ecosystem_giwa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9CCFE4EC-D7C4-49FC-9597-EADEAC773968</guid>
<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>anchovy</g:label>
<g:label>phytoplankton</g:label>
<g:label>chlorophyll-a</g:label>
<g:label>copepod</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>37 22</gml:lowerCorner>
<gml:upperCorner>50 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Comparison of per capita water use by region</title>
<link>http://maps.grida.no/go/graphic/comparison-of-per-capita-water-use-by-region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 14:29:56 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/comparison-of-per-capita-water-use-by-region_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>184</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/comparison-of-per-capita-water-use-by-region_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/15483434-C806-E183-763A-10A57A5FFD4F</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>GEO Data Portal, compiled from FAO AQUASTAT 2007</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Compensation for sheep losses in Norway</title>
<link>http://maps.grida.no/go/graphic/compensation-for-sheep-losses-in-norway</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Minimizing conflicts with livestock husbandry is the most important challenge for the conservation of wolverines. In Fennoscandia, few areas exist within the wolverines’ range where there is no conflict potential with sheep and/or domestic reindeer. For example in Norway, the practice is to leave sheep unattended on mountain pastures to graze during summer. Higher stock numbers and the loss of herding and livestock guarding traditions have increased the potential for conflict with wolverines, as well as other predators. </description>
<pubDate>Fri, 22 Oct 2010 18:24:59 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/compensation-for-sheep-losses-in-norway_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Minimizing conflicts with livestock husbandry is the most important challenge for the conservation of wolverines. In Fennoscandia, few areas exist within the wolverines’ range where there is no conflict potential with sheep and/or domestic reindeer. For example in Norway, the practice is to leave sheep unattended on mountain pastures to graze during summer. Higher stock numbers and the loss of herding and livestock guarding traditions have increased the potential for conflict with wolverines, as well as other predators. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/compensation-for-sheep-losses-in-norway_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9B069A7F-D35E-1811-BE02-10E2F6768858</guid>
<g:label>geoarctic</g:label>
<g:label>arctic</g:label>
<g:label>biodiversity</g:label>
<g:label>wolverine</g:label>
<g:label>predators</g:label>
<g:label>sheep</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Kjørstad, M. 2010. Personal Communication. Norwegian Polar Institute.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Composition of transboundary waste</title>
<link>http://maps.grida.no/go/graphic/composition-of-transboundary-waste</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>According to the Basel Convention reports, of more than 300 million tonnes of waste (including hazardous and other waste) generated worldwide in 2000, a little less that 2% was exported. However 90% of the exported waste was classifi ed as hazardous. The principal waste export by volume was lead and lead compounds bound for recycling.</description>
<pubDate>Thu, 09 Feb 2006 21:37:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/composition-of-transboundary-waste_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>48</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>According to the Basel Convention reports, of more than 300 million tonnes of waste (including hazardous and other waste) generated worldwide in 2000, a little less that 2% was exported. However 90% of the exported waste was classifi ed as hazardous. The principal waste export by volume was lead and lead compounds bound for recycling.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/composition-of-transboundary-waste.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5C38AE03-64D5-DD75-FA0F-C5C21FCAD08F</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>trade</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Basel Convention</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Concentration Extent</title>
<link>http://maps.grida.no/go/graphic/concentration-extent</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Laura Margueritte</mapsgrida:designer>
<description>Reduced sea ice amplifies warming.</description>
<pubDate>Tue, 27 Oct 2009 18:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/concentration-extent_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>99</mapsgrida:thumbnailHeight>
<g:author>Laura Margueritte</g:author>
<mapsgrida:descriptionnonhtml>Reduced sea ice amplifies warming.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/concentration-extent_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/6165825C-1362-1376-EE77-111C20497149</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Laura Margueritte</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Data from National Snow and Ice Data Center, USA.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Conflict in Sierra Leone and Liberia, and refugee settlement in Guinea</title>
<link>http://maps.grida.no/go/graphic/conflict-in-sierra-leone-and-liberia-and-refugee-settlement-in-guinea</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 16:29:04 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/conflict-in-sierra-leone-and-liberia-and-refugee-settlement-in-guinea_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>218</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/conflict-in-sierra-leone-and-liberia-and-refugee-settlement-in-guinea_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D10B6F36-F07C-D7FC-4ABB-127E0C5FCD86</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Conflicts and disasters - potential powder kegs (landmines and other explosives)</title>
<link>http://maps.grida.no/go/graphic/conflicts_and_disasters_potential_powder_kegs_landmines_and_other_explosives</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The planet is scattered with hazardous or explosive leftovers from a succession of technical breakthroughs – be they military or industrial – just waiting to be washed away by a flood or mudslide or carried off by a hurricane.
If disaster strikes these “powder kegs” multiply the danger to people and the environment (posing a particularly acute
threat to already scarce water resources).</description>
<pubDate>Mon, 06 Feb 2006 20:24:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/conflicts_and_disasters_potential_powder_kegs_landmines_and_other_explosives_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>105</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The planet is scattered with hazardous or explosive leftovers from a succession of technical breakthroughs – be they military or industrial – just waiting to be washed away by a flood or mudslide or carried off by a hurricane.
If disaster strikes these “powder kegs” multiply the danger to people and the environment (posing a particularly acute
threat to already scarce water resources).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/conflicts_and_disasters_potential_powder_kegs_landmines_and_other_explosives.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7BE3F924-90B4-7DCA-682B-7AC89073E9EB</guid>
<g:label>global</g:label>
<g:label>landmines</g:label>
<g:label>conflict</g:label>
<g:label>war</g:label>
<g:label>toxic waste</g:label>
<g:label>nuclear</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Landmine Monitor Report 2003, USGS, ESRI</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Conservation areas and the Leuser Ecosystem</title>
<link>http://maps.grida.no/go/graphic/conservation-areas-and-the-leuser-ecosystem</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Approximately 50% of Sumatran orangutan habitat is inside conservation areas directly managed by the Ministry of Forestry, and 78% lies within the boundaries of the vast Leuser Ecosystem Conservation Area.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/conservation-areas-and-the-leuser-ecosystem_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>251</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Approximately 50% of Sumatran orangutan habitat is inside conservation areas directly managed by the Ministry of Forestry, and 78% lies within the boundaries of the vast Leuser Ecosystem Conservation Area.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/conservation-areas-and-the-leuser-ecosystem_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F6CE0A32-182C-76E9-F6BE-1009F0DE8768</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Hillshade generated from SRTM 90m DEM available from the CGIAR website (http://srtm.csi.cgiar.org/).
Bathymetry from the ETOPO1 Global Relief Model downloaded from: http://www.ngdc.noaa.gov/mgg/global/global.html
Sumatran orangutan distribution shapefile prepared by Singleton and Wich and based on Wich et al. 2008 with unpublished data added.
Forest layer interpreted by PanEco/ YEL, 2010 from Landsat 5 TM, 2009 and Landsat ETM 7 filled, 2010. Gunung Leuser NP boundary (SK276) provided by Balai Besar Taman Nasional Gunung Leuser based on MoF Decree SK 276/Kpts-II/1997; Gunung Leuser NP boundary (SK170) and other conservation areas in Aceh shown on map “Peta Penunjukan Kawasan Hutan dan Perairan Propinsi NAD, 1:2,000,000. SK170/Kpts-II/2000. The Leuser Ecosystem Boundary provided by the Leuser Ecosystem management body (BPKEL) based on MoF decree “Pengesahan Batas Kawasan Ekosis-tem Leuser di Propinsi DI Aceh” SK 190/Kpts-II/2001 and MoF decree “Pengesahan Batas Kawasan Ekosistem Leuser di Propinsi Sumatera Utara” SK 10193/Kpts-II/2002.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Consumer items in China</title>
<link>http://maps.grida.no/go/graphic/consumer_items_in_china</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay</mapsgrida:designer>
<description>The impact of income on lifestyle is apparent in China like elsewhere. There has been a massive surge in all consumer
goods with rising income in towns. The same trend can be observed to a much lesser extent in the country.</description>
<pubDate>Tue, 19 Dec 2006 14:23:23 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/consumer_items_in_china_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>322</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay</g:author>
<mapsgrida:descriptionnonhtml>The impact of income on lifestyle is apparent in China like elsewhere. There has been a massive surge in all consumer
goods with rising income in towns. The same trend can be observed to a much lesser extent in the country.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/consumer_items_in_china_001.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10E5FDB5-55C1-15E7-1E02-11953A25E046</guid>
<g:label>global</g:label>
<g:label>consumerism</g:label>
<g:label>industry</g:label>
<g:label>consumption</g:label>
<g:label>China</g:label>
<dc:contributor>Emmanuelle Bournay</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>China Statistical Yearbook 1996, 2001 and 2005</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Consumption appeal</title>
<link>http://maps.grida.no/go/graphic/consumption_appeal</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay</mapsgrida:designer>
<description>The marketing and advertising industry is constantly teasing
us with trendy, cool and largely superfluous products.
To judge by investment in advertising, it takes more and
more to achieve the same effect. With all that stimulation it is an effort asking just what we stand to gain.</description>
<pubDate>Tue, 19 Dec 2006 14:23:23 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/consumption_appeal_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>128</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay</g:author>
<mapsgrida:descriptionnonhtml>The marketing and advertising industry is constantly teasing
us with trendy, cool and largely superfluous products.
To judge by investment in advertising, it takes more and
more to achieve the same effect. With all that stimulation it is an effort asking just what we stand to gain.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/consumption_appeal.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C9645D05-11D3-EE63-C32D-6C57246C8851</guid>
<g:label>global</g:label>
<g:label>advertising</g:label>
<g:label>consumption</g:label>
<g:label>consumerism</g:label>
<g:label>industry</g:label>
<dc:contributor>Emmanuelle Bournay</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Advertising Age, Global Marketing: Top 100, November 2005;
Robert J. Coen; Worldwatch Institute, 100 Vital Signs 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Consumption of commercial energy for selected regions</title>
<link>http://maps.grida.no/go/graphic/consumption_of_commercial_energy_for_selected_regions</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows the amount of energy in gigajoules used by Africa and other parts of the world. North America is by far the biggest consumer of commercial energy, peaking at close to 350 gigajoules in 1995. </description>
<pubDate> --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/batch1tn_commercial-energy.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>138</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows the amount of energy in gigajoules used by Africa and other parts of the world. North America is by far the biggest consumer of commercial energy, peaking at close to 350 gigajoules in 1995. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/batch1commercial-energy.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/62CBC1B2-D04E-4267-9420-8AAD669B1038</guid>
<g:label>global</g:label>
<g:label>developing countries</g:label>
<g:label>commercial energy</g:label>
<g:label>energy consumption</g:label>
<g:label></g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank, United Nations Programme for the Developement (UNDP), World Resources Institute (WRI), United Nations Programme for the Environment (UNEP) 1998.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Consumption of harvested meat/fish in Inuit Households (Canada)</title>
<link>http://maps.grida.no/go/graphic/consumption-of-harvested-meat-fish-in-inuit-households-canada</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>The harvest of natural resources is a key feature of traditional lifestyles and economies throughout the Arctic, and a continuing reliance on it as a mainstay of indigenous existence in the north is evident. Environmental change in Arctic regions is a key contributing factor to changing Inuit subsistence patterns. As examples, the Inuit speak of the thinning of the ice which makes hunting more challenging; species they once relied upon are disappearing; berries are not ripening. The impacts of climate change affect travel patterns and prevent the Inuit from reaching certain species. These shifts in the time and place of harvesting affect their ability to respond to the changes taking place. This figure presents the ratio of harvested meat and fish (country food) consumed in Canadian Inuit households in the year of 2000.</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/consumption-of-harvested-meat-fish-in-inuit-households-canada_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>185</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>The harvest of natural resources is a key feature of traditional lifestyles and economies throughout the Arctic, and a continuing reliance on it as a mainstay of indigenous existence in the north is evident. Environmental change in Arctic regions is a key contributing factor to changing Inuit subsistence patterns. As examples, the Inuit speak of the thinning of the ice which makes hunting more challenging; species they once relied upon are disappearing; berries are not ripening. The impacts of climate change affect travel patterns and prevent the Inuit from reaching certain species. These shifts in the time and place of harvesting affect their ability to respond to the changes taking place. This figure presents the ratio of harvested meat and fish (country food) consumed in Canadian Inuit households in the year of 2000.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/consumption-of-harvested-meat-fish-in-inuit-households-canada_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/118C1688-13C4-1411-C00F-FEA26B9D0995</guid>
<g:label>canadaarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>indigenous peoples</g:label>
<g:label>harvest</g:label>
<g:label>meat</g:label>
<g:label>fish</g:label>
<g:label>hunting</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>canadaarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Inuit Tapirit Kanatami (ITK). 2008. Inuit in Canada: A Statistical Profile. http://www.itk.ca/sites/default/files/ InuitStatisticalProfile2008_0.pdf [Accessed 22 March 2010].</dc:source>
<geo:lat>69</geo:lat>
<geo:long>-100</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -140</gml:lowerCorner>
<gml:upperCorner>83 -60</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Consumption of Nitrogen fertilizers in EU 15</title>
<link>http://maps.grida.no/go/graphic/consumption_of_nitrogen_fertilizers_in_eu_15</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows Consumption of Nitrogen fertilizers in EU 15 from 1970 to 1992. The main source of nitrogen in soils is from organic matter. Nitrogen also comes from sources such as factories. A common concern with these forms of inorganic nitrogen is the incremental amount of nitrates they add to the nitrogen cycle, which may threaten groundwater, inland waters and fisheries.
</description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_consumption_of_nitrogen_fertilizers_in_eu_15.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>342</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows Consumption of Nitrogen fertilizers in EU 15 from 1970 to 1992. The main source of nitrogen in soils is from organic matter. Nitrogen also comes from sources such as factories. A common concern with these forms of inorganic nitrogen is the incremental amount of nitrates they add to the nitrogen cycle, which may threaten groundwater, inland waters and fisheries.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_consumption_of_nitrogen_fertilizers_in_eu_15.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A616BFBC-72FB-43CE-87F6-3DCAFD786CF8</guid>
<g:label>geoweurope</g:label>
<g:label>Agriculture</g:label>
<g:label>Fisheries</g:label>
<g:label>nitrogen</g:label>
<g:label>fertilizers</g:label>
<g:label>pollution</g:label>
<g:label>EU</g:label>
<g:label>crops</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoweurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Inland Water Topics Report, 4 fig. 3.21</dc:source>
<geo:lat>59.5</geo:lat>
<geo:long>-3.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>34 -27</gml:lowerCorner>
<gml:upperCorner>85 20</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Consumption of pesticides (active ingredients)</title>
<link>http://maps.grida.no/go/graphic/consumption_of_pesticides_active_ingredients</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows consumption of pesticide (active ingredients) from 1980 to 2010. Pesticides are natural chemicals or altered versions of natural chemicals used in agriculture to control various sorts of pests such as different types of insects, rodents, weed and fungi. </description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/consumption_of_pesticides_active_ingredients_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>240</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows consumption of pesticide (active ingredients) from 1980 to 2010. Pesticides are natural chemicals or altered versions of natural chemicals used in agriculture to control various sorts of pests such as different types of insects, rodents, weed and fungi. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/consumption_of_pesticides_active_ingredients.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BD41BC1E-58A2-47B5-B59C-C94F852EA102</guid>
<g:label>geoweurope</g:label>
<g:label>Freshwater</g:label>
<g:label>pesticides</g:label>
<g:label>groundwater</g:label>
<g:label>pests</g:label>
<g:label>Eu</g:label>
<g:label>agriculture</g:label>
<g:label>pollution</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoweurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Environment in the European Union, 1995, fig. 3.6.3</dc:source>
<geo:lat>59.5</geo:lat>
<geo:long>-3.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>34 -27</gml:lowerCorner>
<gml:upperCorner>85 20</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Consumption of selected industrial raw materials compared to global population</title>
<link>http://maps.grida.no/go/graphic/consumption_of_selected_industrial_raw_materials_compared_to_global_population</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Five of the top countries consuming industrial raw materials account for roughly 10 percent of the world's population but consume up to 50 percent of more of some of the main materials. This shows a large imbalance between these 5 nations and the other 188.</description>
<pubDate>Tue, 07 Feb 2006 18:43:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/consumption_of_selected_industrial_raw_materials_compared_to_global_population_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>138</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Five of the top countries consuming industrial raw materials account for roughly 10 percent of the world&apos;s population but consume up to 50 percent of more of some of the main materials. This shows a large imbalance between these 5 nations and the other 188.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/consumption_of_selected_industrial_raw_materials_compared_to_global_population_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BF26B8FD-7892-78AF-55DB-13B0490293C2</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>raw materials</g:label>
<g:label>consumption</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Univeristy of Minnesota</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Contamination in Central Asia's Ferghana-Osh-Khudjand area</title>
<link>http://maps.grida.no/go/graphic/contamination-in-central-asia-s-ferghana-osh-khudjand-area</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 16:38:12 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/contamination-in-central-asia-s-ferghana-osh-khudjand-area_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>184</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/contamination-in-central-asia-s-ferghana-osh-khudjand-area_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/64810FE1-137D-15E1-01FC-14D246F5BB9D</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP and others 2005
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Contrast between contemporary and pre-disturbance transports of total nitrogen through inland aquatic systems resulting from anthropogenic acceleration of this nutrient cycle</title>
<link>http://maps.grida.no/go/graphic/contrast-between-contemporary-and-pre-disturbance-transports-of-total-nitrogen-through-inland-aquati</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>While the peculiarities of individual pollutants, rivers, and governance define the specific character of water pollution, the general patterns observed for nitrogen are representative of anthropogenic changes to the transport of waterborne constituents. Elevated contemporary loadings to one part of the system (such as croplands) often reverberate to other parts of the system (to coastal zones, for example), exceeding the capacity of natural systems to assimilate additional constituents.</description>
<pubDate>Sun, 03 Feb 2008 20:27:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/contrast-between-contemporary-and-pre-disturbance-transports-of-total-nitrogen-through-inland-aquati_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>115</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>While the peculiarities of individual pollutants, rivers, and governance define the specific character of water pollution, the general patterns observed for nitrogen are representative of anthropogenic changes to the transport of waterborne constituents. Elevated contemporary loadings to one part of the system (such as croplands) often reverberate to other parts of the system (to coastal zones, for example), exceeding the capacity of natural systems to assimilate additional constituents.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/contrast-between-contemporary-and-pre-disturbance-transports-of-total-nitrogen-through-inland-aquati_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C7C62797-14A5-DE05-FE4A-1495D14A0C18</guid>
<g:label>global</g:label>
<g:label>nutrient cycle</g:label>
<g:label>nitrogen</g:label>
<g:label>water</g:label>
<g:label>pollution</g:label>
<g:label>agriculture</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Contrats de bail internationaux pour l’exploitation de terres agricoles</title>
<link>http://maps.grida.no/go/graphic/contrats-de-bail-internationaux-pour-l-exploitation-de-terres-agricoles</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Un nombre croissant de pays concluent des baux à ferme sur des terres à l’étranger pour sécuriser durablement leur production alimentaire. Les données indiquées sont fournies strictement à titre provisoire.</description>
<pubDate>Mon, 08 Jun 2009 18:36:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/contrats-de-bail-internationaux-pour-l-exploitation-de-terres-agricoles_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>120</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Un nombre croissant de pays concluent des baux à ferme sur des terres à l’étranger pour sécuriser durablement leur production alimentaire. Les données indiquées sont fournies strictement à titre provisoire.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/contrats-de-bail-internationaux-pour-l-exploitation-de-terres-agricoles_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/110ACB75-B3D9-A1F8-C463-1158515A0D93</guid>
<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAOSTAT, 2009.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Contribution from waste to climate change</title>
<link>http://maps.grida.no/go/graphic/contribution-from-waste-to-climate-change</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The disposal and treatment of waste can produce emissions of several greenhouse gases (GHGs), which contribute to global climate change. The most significant GHG gas produced from waste is methane. It is released during the breakdown of organic matter in landfills. Other forms of waste disposal also produce GHGs but these are mainly in the form of carbon dioxide (a less powerful GHG). Even the recycling of waste produces some emissions (although these are offset by the reduction in fossil fuels that would be required to obtain new raw materials). Waste prevention and recycling help address global climate change by decreasing the amount of greenhouse gas emissions and saving energy.</description>
<pubDate>Thu, 09 Feb 2006 23:45:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/contribution_from_waste_to_climate_change_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>133</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The disposal and treatment of waste can produce emissions of several greenhouse gases (GHGs), which contribute to global climate change. The most significant GHG gas produced from waste is methane. It is released during the breakdown of organic matter in landfills. Other forms of waste disposal also produce GHGs but these are mainly in the form of carbon dioxide (a less powerful GHG). Even the recycling of waste produces some emissions (although these are offset by the reduction in fossil fuels that would be required to obtain new raw materials). Waste prevention and recycling help address global climate change by decreasing the amount of greenhouse gas emissions and saving energy.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/contribution_from_waste_to_climate_change_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10335393-D5AF-ECF6-9611-139D1E94B53E</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>climate change</g:label>
<g:label>greenhouse effect</g:label>
<g:label>greenhouse gases</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>n/a</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Contribution of ecosystems to historical radiative forcing and current greenhouse gas emissions</title>
<link>http://maps.grida.no/go/graphic/contribution-of-ecosystems-to-historical-radiative-forcing-and-current-greenhouse-gas-emissions</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Radiative forcing caused by changes in atmospheric composition, alteration in land surface reflectance (albedo), and variation in the output of the sun for the year 2000 relative to conditions in 1750.</description>
<pubDate>Sun, 03 Feb 2008 20:10:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/contribution-of-ecosystems-to-historical-radiative-forcing-and-current-greenhouse-gas-emissions_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>244</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Radiative forcing caused by changes in atmospheric composition, alteration in land surface reflectance (albedo), and variation in the output of the sun for the year 2000 relative to conditions in 1750.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/contribution-of-ecosystems-to-historical-radiative-forcing-and-current-greenhouse-gas-emissions_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BD17D6D8-71BC-1042-496D-96572507552B</guid>
<g:label>global</g:label>
<g:label>radiative</g:label>
<g:label>greenhouse gas</g:label>
<g:label>ghg</g:label>
<g:label>polution</g:label>
<g:label>climate change</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IPCC, Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Contribution of fish to human diet</title>
<link>http://maps.grida.no/go/graphic/contribution_of_fish_to_human_diet</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The percentage of fish to the total human diet from various regions in the world. Based on statistics from 1987 to 1989. Fish is the last wild meal in the human diet, but roughly two-thirds of the world’s major stocks are now fished at or beyond their capacity, and another 10 percent have been harvested so heavily that populations will take years to recover.</description>
<pubDate>Tue, 23 May 2006 09:56:24 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/batch1tn_agrhumdie.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>187</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The percentage of fish to the total human diet from various regions in the world. Based on statistics from 1987 to 1989. Fish is the last wild meal in the human diet, but roughly two-thirds of the world’s major stocks are now fished at or beyond their capacity, and another 10 percent have been harvested so heavily that populations will take years to recover.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/batch1agrhumdie.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/2E97E2D3-42D2-47DF-B64C-10778C0B96ED</guid>
<g:label>global</g:label>
<g:label>fisheries</g:label>
<g:label>fish</g:label>
<g:label>food</g:label>
<g:label>human diet</g:label>
<g:label>nutrition</g:label>
<g:label></g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agriculture Organization of the United Nations (FAO), Marine fisheries and the law of the sea: a decade of change, FAO Fisheries Circular number176 853, FAO, Roma, 1993.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Contribution of forest to GDP, and ratio of forest exports out of total exports, for selected countries</title>
<link>http://maps.grida.no/go/graphic/contribution-of-forest-to-gdp-and-ratio-of-forest-exports-out-of-total-exports-for-selected-countrie</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Forestry provides more than 8% of the GDP in some of the poorest countries. In most of the developing country production is consumed domestically, but for some countries forestry contributes significantly to total exports like in Liberia and the Central African Republic.</description>
<pubDate>Sun, 05 Oct 2008 16:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/contribution-of-forest-to-gdp-and-ratio-of-forest-exports-out-of-total-exports-for-selected-countrie_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>177</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Forestry provides more than 8% of the GDP in some of the poorest countries. In most of the developing country production is consumed domestically, but for some countries forestry contributes significantly to total exports like in Liberia and the Central African Republic.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/contribution-of-forest-to-gdp-and-ratio-of-forest-exports-out-of-total-exports-for-selected-countrie_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F004D432-88B0-1542-FE57-15E01E8FED69</guid>
<g:label>global</g:label>
<g:label>guinea-bissau</g:label>
<g:label>chad</g:label>
<g:label>liberia</g:label>
<g:label>swaziland</g:label>
<g:label>mali</g:label>
<g:label>gabon</g:label>
<g:label>sierra leone</g:label>
<g:label>paraguay</g:label>
<g:label>malaysia</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Lebedys, A. 2004. Trends and current status of the contribution of the forestry sector to national economies – FAO Working paper: FSFM/ACC/07. http://www.fao.org/docrep/007/ad493e/ad493e00.htm (accessed September 26, 2006)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Contribution of various waste management systems to greenhouse gas emissions, 2002</title>
<link>http://maps.grida.no/go/graphic/contribution-of-various-waste-management-systems-to-greenhouse-gas-emissions-2002</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The disposal and treatment of waste can produce emissions of several greenhouse gases (GHGs), which contribute to global climate change. The most significant GHG gas produced from waste is methane. It is released during the breakdown of organic matter in landfills. Other forms of waste disposal also produce GHGs but these are mainly in the form of carbon dioxide (a less powerful GHG). Even the recycling of waste produces some emissions (although these are offset by the reduction in fossil fuels that would be required to obtain new raw materials). Waste prevention and recycling help address global climate change by decreasing the amount of greenhouse gas emissions and saving energy. (Environmental Protection Agency).</description>
<pubDate>Thu, 09 Feb 2006 23:53:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/contribution_of_various_waste_management_systems_to_greenhouse_gas_emissions_2002_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>130</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The disposal and treatment of waste can produce emissions of several greenhouse gases (GHGs), which contribute to global climate change. The most significant GHG gas produced from waste is methane. It is released during the breakdown of organic matter in landfills. Other forms of waste disposal also produce GHGs but these are mainly in the form of carbon dioxide (a less powerful GHG). Even the recycling of waste produces some emissions (although these are offset by the reduction in fossil fuels that would be required to obtain new raw materials). Waste prevention and recycling help address global climate change by decreasing the amount of greenhouse gas emissions and saving energy. (Environmental Protection Agency).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/contribution_of_various_waste_management_systems_to_greenhouse_gas_emissions__003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C15D11E2-1321-DCAC-F002-11A64803E03A</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>greenhouse gas</g:label>
<g:label>emissions</g:label>
<g:label>climate change</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Conversion from primary forest to other land uses, 1985-2007</title>
<link>http://maps.grida.no/go/graphic/conversion-from-primary-forest-to-other-land-uses-1985-2007</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The main driver for forest loss on peat areas in the Leuser Ecosystem was oil palm development between 1985 and 2007, while for forest on non-peatlands other land uses than oil palm contributed more to land use changes.</description>
<pubDate>Wed, 28 Sep 2011 08:46:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/conversion-from-primary-forest-to-other-land-uses-1985-2007_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>106</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The main driver for forest loss on peat areas in the Leuser Ecosystem was oil palm development between 1985 and 2007, while for forest on non-peatlands other land uses than oil palm contributed more to land use changes.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/conversion-from-primary-forest-to-other-land-uses-1985-_013.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1766A79A-123F-D1FC-4333-CD9C5739ED07</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Laumonier, Y., Uryu, Y., Stüwe, M., Budiman, A., Setiabudi, B. and Hadian, O. 2010. Eco-floristic sectors and deforestation threats in Sumatra: Identifying new conservation area network priorities for ecosystem-based land use planning. Biodiv Cons 19: 1153-1174.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Conversion of forests to different land uses</title>
<link>http://maps.grida.no/go/graphic/conversion-of-forests-to-different-land-uses</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Using satellite images, land use changes were determined at Batang Toru (2001-2009) and Tripa (2001-2009) to calculate overall CO2 emissions. Deforestation in both areas led to different land use transitions, with the predominant land use in Batang Toru after deforestation being disturbed forest and in Tripa, oil palm plantations.</description>
<pubDate>Wed, 28 Sep 2011 08:46:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/conversion-of-forests-to-different-land-uses_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>106</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Using satellite images, land use changes were determined at Batang Toru (2001-2009) and Tripa (2001-2009) to calculate overall CO2 emissions. Deforestation in both areas led to different land use transitions, with the predominant land use in Batang Toru after deforestation being disturbed forest and in Tripa, oil palm plantations.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/conversion-of-forests-to-different-land-uses_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/187F840B-1253-105C-2D11-8BBE77FA7434</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Tata, H.L. and van Noordwijk, M. 2010. Human livelihoods, ecosystem services and the habitat of the Sumatran orangutan: Rapid assessment in Batang Toru and Tripa. World Agroforestry Centre (ICRAF) Southeast Asia Regional Office, Bogor, Indonesia.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Conversion of Original Biomes</title>
<link>http://maps.grida.no/go/graphic/conversion-of-original-biomes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 12:46:35 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/conversion-of-original-biomes_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>145</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/conversion-of-original-biomes.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9626DB76-722A-12F1-1E93-D7FB0842595A</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>MA 2005</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Conversion of terrestrial biomes</title>
<link>http://maps.grida.no/go/graphic/conversion-of-terrestrial-biomes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>It is not possible to estimate accurately the extent of different biomes prior to significant human impact, but it is possible to determine the “potential” area of biomes based on soil and climatic conditions.</description>
<pubDate>Sun, 03 Feb 2008 17:41:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/conversion-of-terrestrial-biomes_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>340</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>It is not possible to estimate accurately the extent of different biomes prior to significant human impact, but it is possible to determine the “potential” area of biomes based on soil and climatic conditions.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/conversion-of-terrestrial-biomes_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/67C09224-67F0-7AB4-4F02-1618DB1EED37</guid>
<g:label>global</g:label>
<g:label>Biome</g:label>
<g:label>ecossystem</g:label>
<g:label>land</g:label>
<g:label>forest</g:label>
<g:label>desert</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Converting water into red meat</title>
<link>http://maps.grida.no/go/graphic/converting-water-into-red-meat</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Production of red meat has a significant demand on water with impacts on quality.</description>
<pubDate>Mon, 22 Mar 2010 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/converting-water-into-red-meat_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>125</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Production of red meat has a significant demand on water with impacts on quality.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/converting-water-into-red-meat_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/69C5679B-6529-14B1-7DD2-9227254A651F</guid>
<g:label>global</g:label>
<g:label>sick</g:label>
<g:label>water</g:label>
<g:label>wastewater</g:label>
<g:label>sustainable</g:label>
<g:label>development</g:label>
<g:label>global</g:label>
<g:label>threat</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO statistical database, 2009;FAO, Livestock Long Shadow. Environmental Issues and Options, 2006. Data refers to 2003.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cooling factors</title>
<link>http://maps.grida.no/go/graphic/cooling-factors</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The amount of aerosols in the air has direct effect on the amount of solar radiation hitting the Earth's surface. Aerosols may have significant local or regional impact on temperature. Water vapour is a greenhouse gas, but at the same time the upper white surface of clouds reflects solar radiation back into space. Albedo - reflections of solar radiation from surfaces on the Earth - creates difficulties in exact calculations. If e.g. the polar icecap melts, the albedo will be significantly reduced. Open water absorbs heat, while white ice and snow reflect it.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cooling-factors_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>129</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The amount of aerosols in the air has direct effect on the amount of solar radiation hitting the Earth&apos;s surface. Aerosols may have significant local or regional impact on temperature. Water vapour is a greenhouse gas, but at the same time the upper white surface of clouds reflects solar radiation back into space. Albedo - reflections of solar radiation from surfaces on the Earth - creates difficulties in exact calculations. If e.g. the polar icecap melts, the albedo will be significantly reduced. Open water absorbs heat, while white ice and snow reflect it.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cooling-factors.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7A9F857C-D863-48BD-A926-F0C1A9AC82B2</guid>
<g:label>global</g:label>
<g:label>Climate</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Radiative forcing on climate change, 1994 report of the scientific assessment working group of IPCC, summary to policymakers, WMO, UNEP; L.D. Danny HArvey, Climate and global environmenatl change, Prentice Hall, Pearson Education, Harlow, United Kingdom, 2000</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Copenhagen, paradise for cyclists</title>
<link>http://maps.grida.no/go/graphic/copenhagen-paradise-for-cyclists1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>In Copenhagen 36 per cent of the city's inhabitants
cycle to work, using a network of more than 330
kilometres of cycle tracks and travelling at an average
speed of 15 kph.</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/copenhagen-paradise-for-cyclists_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>280</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In Copenhagen 36 per cent of the city&apos;s inhabitants
cycle to work, using a network of more than 330
kilometres of cycle tracks and travelling at an average
speed of 15 kph.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/copenhagen-paradise-for-cyclists_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14703638-8BFC-1643-5B41-1175EE6E0006</guid>
<g:label>DK</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>DK</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Cycle Policy 2002-2012; Bicycle account 2004,
City of Copenhagen.</dc:source>
<geo:lat>55.5</geo:lat>
<geo:long>11.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 8</gml:lowerCorner>
<gml:upperCorner>57 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Copenhagen, paradise for cyclists</title>
<link>http://maps.grida.no/go/graphic/copenhagen-paradise-for-cyclists</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In Copenhagen 36 per cent of the city's inhabitants cycle to work, using a network of more than 330 kilometres of cycle tracks and travelling at an average speed of 15 kph.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/copenhagen-paradise-for-cyclists_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>273</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In Copenhagen 36 per cent of the city&apos;s inhabitants cycle to work, using a network of more than 330 kilometres of cycle tracks and travelling at an average speed of 15 kph.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/copenhagen-paradise-for-cyclists.jpg</g:image_link>
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<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Cycle Policy 2002-2012; Bicycle account 2004, City of Copenhagen.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coral Reefs</title>
<link>http://maps.grida.no/go/graphic/coral-reefs</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Distribution of the world's coral reefs. Oceans blue carbon sinks, along with coral reefs and kelp communities, all fulfil very important functions in the coastal zone while providing opportunities for jobs and coastal prosperity.</description>
<pubDate>Wed, 14 Oct 2009 12:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coral-reefs_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>107</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Distribution of the world&apos;s coral reefs. Oceans blue carbon sinks, along with coral reefs and kelp communities, all fulfil very important functions in the coastal zone while providing opportunities for jobs and coastal prosperity.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coral-reefs_006.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Blue</g:label>
<g:label>Carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP-WCMC, 2009; Valiela et al., 2001</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
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<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coral reefs at risk from human activities</title>
<link>http://maps.grida.no/go/graphic/coral_reefs_at_risk_from_human_activities</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Population growth and technology: operating together these two factors account for the major causes of coral reef decline - excessive domestic and agricultural waste pouring into ocean waters, poor land-use practices that increase sedimentation of rivers and then of reefs, and over-exploitation of reef resources, often in combination with practices such as harvesting with dynamite and poison, all degrade reefs.</description>
<pubDate>Sat, 08 Jul 2006 12:32:14 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/batch1tn_marcoralreef.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>113</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Population growth and technology: operating together these two factors account for the major causes of coral reef decline - excessive domestic and agricultural waste pouring into ocean waters, poor land-use practices that increase sedimentation of rivers and then of reefs, and over-exploitation of reef resources, often in combination with practices such as harvesting with dynamite and poison, all degrade reefs.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/batch1marcoralreef.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>coral reefs</g:label>
<g:label>coastal</g:label>
<g:label>marine</g:label>
<g:label>environmental damage</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Lauretta Burke et al. Reefs at Risk: a map based indicator of threats to the world's coral reefs, World Resources Institute, Washington DC, 1998.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Coral reefs at risks</title>
<link>http://maps.grida.no/go/graphic/coral-reefs-at-risks</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Phillippe Rekacewicz, February 2006</mapsgrida:designer>
<description>There are two distinct regions in which coral reefs are primarily distributed: the Wider Caribbean (Atlantic Ocean) and the Indo-Pacific (from East Africa and the Red Sea to the Central Pacific Ocean).
- The diversity of coral is far greater in the Indo-Pacific, particularly around Indonesia, the Philippines, and Papua New Guinea. Many other groups of marine fauna show similar patterns, with a much greater diversity in the Indo-Pacific region.
- Although they possess a smaller number of species the corals of the Atlantic are still unique, with few common species between the two regions (Spalding et al., 2001).
Major threats to the world’s coral reefs include overexploitation and coastal development. This graphic explains the activities or conditions that threaten the world’s various reefs, and shows the global distribution of destroyed coral reefs. In addition, the global warming that the world is beginning to experience is likely to have a major impact on coastal and marine environments:
- The sea has an enormous capacity to store heat. Warmer water, combined with anticipated changes in ocean currents, could have a devastating impact on marine ecosystems and biodiversity.
- One potential result could be a reduction in the upwelling of nutrients, which would in turn reduce productivity in key fishing areas.
- Decreased growth may also be seen in coral reefs, with high concentrations of CO2 in the water impairing the deposition of limestone required for coral skeletons (UNEP, 2002).</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/coral-reefs-at-risks_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>184</mapsgrida:thumbnailHeight>
<g:author>Phillippe Rekacewicz, February 2006</g:author>
<mapsgrida:descriptionnonhtml>There are two distinct regions in which coral reefs are primarily distributed: the Wider Caribbean (Atlantic Ocean) and the Indo-Pacific (from East Africa and the Red Sea to the Central Pacific Ocean).
- The diversity of coral is far greater in the Indo-Pacific, particularly around Indonesia, the Philippines, and Papua New Guinea. Many other groups of marine fauna show similar patterns, with a much greater diversity in the Indo-Pacific region.
- Although they possess a smaller number of species the corals of the Atlantic are still unique, with few common species between the two regions (Spalding et al., 2001).
Major threats to the world’s coral reefs include overexploitation and coastal development. This graphic explains the activities or conditions that threaten the world’s various reefs, and shows the global distribution of destroyed coral reefs. In addition, the global warming that the world is beginning to experience is likely to have a major impact on coastal and marine environments:
- The sea has an enormous capacity to store heat. Warmer water, combined with anticipated changes in ocean currents, could have a devastating impact on marine ecosystems and biodiversity.
- One potential result could be a reduction in the upwelling of nutrients, which would in turn reduce productivity in key fishing areas.
- Decreased growth may also be seen in coral reefs, with high concentrations of CO2 in the water impairing the deposition of limestone required for coral skeletons (UNEP, 2002).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/coral-reefs-at-risks_003.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>vital</g:label>
<g:label>water</g:label>
<g:label>coral reefs</g:label>
<g:label>diversity</g:label>
<g:label>africa</g:label>
<g:label>carribean</g:label>
<g:label></g:label>
<dc:contributor>Phillippe Rekacewicz, February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Bryant et al., Reefs at Risk; a Map-Based Indicator of Threats to the World’s Coral Reefs, World Resources Institute (WRI), Washington DC, 1998.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Corporation</title>
<link>http://maps.grida.no/go/graphic/corporation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius</mapsgrida:designer>
<description>Multinational companies in the EU and in Asia, among other, operate through subsidiary companies in the DRC region and contribute directly or most often indirectly with funds for financing the illegal exploitation of resources in the DRC – without criminal investigations.</description>
<pubDate>Mon, 22 Mar 2010 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/corporation_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>185</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius</g:author>
<mapsgrida:descriptionnonhtml>Multinational companies in the EU and in Asia, among other, operate through subsidiary companies in the DRC region and contribute directly or most often indirectly with funds for financing the illegal exploitation of resources in the DRC – without criminal investigations.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/corporation_002.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>gorilla</g:label>
<g:label>congo</g:label>
<g:label>threat</g:label>
<g:label>crime</g:label>
<g:label>conflict</g:label>
<dc:contributor>Hugo Ahlenius</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Corruption</title>
<link>http://maps.grida.no/go/graphic/corruption</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius</mapsgrida:designer>
<description>Even though the logging concessions fall out- side of the protected areas, it is not uncommon – due to lack of resources for enforcement – that companies log inside protected areas, where often more valuable timber is present, and export this as part of their legal conces- sions – many however with at least 50% underreporting.</description>
<pubDate>Mon, 22 Mar 2010 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/corruption_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>160</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius</g:author>
<mapsgrida:descriptionnonhtml>Even though the logging concessions fall out- side of the protected areas, it is not uncommon – due to lack of resources for enforcement – that companies log inside protected areas, where often more valuable timber is present, and export this as part of their legal conces- sions – many however with at least 50% underreporting.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/corruption_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8A3DD581-10EE-16AF-42C0-157C4847BE65</guid>
<g:label>global</g:label>
<g:label>gorilla</g:label>
<g:label>congo</g:label>
<g:label>threat</g:label>
<g:label>crime</g:label>
<g:label>conflict</g:label>
<dc:contributor>Hugo Ahlenius</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Seneca Cree Associates 2004.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cost of coffee from farm gate to coffee shop</title>
<link>http://maps.grida.no/go/graphic/cost-of-coffee-from-farm-gate-to-coffee-shop</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Ensuring policy space for all these countries to maintain prices for crops that are important to food security and rural livelihoods is essential. Agricultural policies in industrialized countries, including export subsidies, have reduced commodity prices and thus food import costs; however this has undermined the development of the agricultural sector in developing countries, and thus agriculture’s significant potential growth multiplier for the whole economy.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cost-of-coffee-from-farm-gate-to-coffee-shop_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>249</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Ensuring policy space for all these countries to maintain prices for crops that are important to food security and rural livelihoods is essential. Agricultural policies in industrialized countries, including export subsidies, have reduced commodity prices and thus food import costs; however this has undermined the development of the agricultural sector in developing countries, and thus agriculture’s significant potential growth multiplier for the whole economy.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cost-of-coffee-from-farm-gate-to-coffee-shop_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A26A5854-10CB-DCD0-4C75-8410668449C8</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>economy</g:label>
<g:label>price fixing</g:label>
<g:label>coffee</g:label>
<g:label>trade</g:label>
<g:label>uganda</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Shaun Ferris and Peter Robbins, 2003</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Counting female-headed households</title>
<link>http://maps.grida.no/go/graphic/counting-female-headed-households</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In SSA women make up two-thirds of those infected with HIV/AIDS. This adds additional burdens for women as producers of food and as family caretakers. Labor loss due to illness, need to care for family members and paid employment required to cover medical costs may cause families to decrease their farming activities.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/counting-female-headed-households_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>298</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In SSA women make up two-thirds of those infected with HIV/AIDS. This adds additional burdens for women as producers of food and as family caretakers. Labor loss due to illness, need to care for family members and paid employment required to cover medical costs may cause families to decrease their farming activities.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/counting-female-headed-households_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1012DF2B-120F-F0E3-0CF2-12DB0F7FB428</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>women's issues</g:label>
<g:label>labour</g:label>
<g:label>economy</g:label>
<g:label>household</g:label>
<g:label>gender</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Counting women’s labor</title>
<link>http://maps.grida.no/go/graphic/counting-women-s-labor</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Ketill Berger</mapsgrida:designer>
<description>Besides housekeeping and child rearing, women and girls are usually responsible for fetching water and fuel wood. Women and girls tend to perform tasks such as planting, transplanting, hand weeding, harvesting, picking fruit and vegetables, small livestock rearing, and post-harvest operations such as threshing, seed selection, and storage, while mechanized work (preparing the land, irrigation, mechanical harvesting, and marketing) is generally a male task.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/counting-women-s-labor_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>172</mapsgrida:thumbnailHeight>
<g:author>Ketill Berger</g:author>
<mapsgrida:descriptionnonhtml>Besides housekeeping and child rearing, women and girls are usually responsible for fetching water and fuel wood. Women and girls tend to perform tasks such as planting, transplanting, hand weeding, harvesting, picking fruit and vegetables, small livestock rearing, and post-harvest operations such as threshing, seed selection, and storage, while mechanized work (preparing the land, irrigation, mechanical harvesting, and marketing) is generally a male task.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/counting-women-s-labor_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13927B72-1449-F2E1-1B12-122E88E4B948</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>gender roles</g:label>
<g:label>labor</g:label>
<g:label>india</g:label>
<g:label>dominican republic</g:label>
<dc:contributor>Ketill Berger</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Country income groups (World Bank classification)</title>
<link>http://maps.grida.no/go/graphic/country-income-groups-world-bank-classification</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>There are huge regional differences in the above trends. Globally, poverty
rates have fallen from 52% in 1981 to 42% in 1990 and to 26%
in 2005. In Sub-Saharan Africa, however, the poverty rate remained
constant at around 50%. This region also comprises the majority of
countries making the least progress in reducing child malnutrition.
The poverty rate in East Asia fell from nearly 80% in 1980 to under
20% by 2005. East Asia, notably China, was successful in more than
halving the proportion of underweight children between 1990 and
2006. In contrast, and despite improvements since 1990, almost 50%
of the children are underweight in Southern Asia. This region alone
accounts for more than half the world’s malnourished children.</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/country-income-groups-world-bank-classification_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>94</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>There are huge regional differences in the above trends. Globally, poverty
rates have fallen from 52% in 1981 to 42% in 1990 and to 26%
in 2005. In Sub-Saharan Africa, however, the poverty rate remained
constant at around 50%. This region also comprises the majority of
countries making the least progress in reducing child malnutrition.
The poverty rate in East Asia fell from nearly 80% in 1980 to under
20% by 2005. East Asia, notably China, was successful in more than
halving the proportion of underweight children between 1990 and
2006. In contrast, and despite improvements since 1990, almost 50%
of the children are underweight in Southern Asia. This region alone
accounts for more than half the world’s malnourished children.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/country-income-groups-world-bank-classification.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank. 2008. World Bank list of economies (country classification). http://go.worldbank.org/K2CKM78CC0 (Accessed December 3, 2008)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Croatia, topographic map</title>
<link>http://maps.grida.no/go/graphic/croatia_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Croatia is located in Southeastern Europe, bordering the Adriatic Sea, between Bosnia and Herzegovina and Slovenia, comprising of 56,542 sq km. It has a population of 4,495,904 (2005). Major environmental concerns are: air pollution (from metallurgical plants) and resulting acid rain is damaging the forests; coastal pollution from industrial and domestic waste; landmine removal and reconstruction of infrastructure consequent to 1992-95 civil strife.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_croatia_topographic_map_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>236</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Croatia is located in Southeastern Europe, bordering the Adriatic Sea, between Bosnia and Herzegovina and Slovenia, comprising of 56,542 sq km. It has a population of 4,495,904 (2005). Major environmental concerns are: air pollution (from metallurgical plants) and resulting acid rain is damaging the forests; coastal pollution from industrial and domestic waste; landmine removal and reconstruction of infrastructure consequent to 1992-95 civil strife.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_croatia_topographic_map_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/26194DD0-B949-460C-9246-2916B02FF240</guid>
<g:label>HR</g:label>
<g:label>croatia</g:label>
<g:label>topography</g:label>
<g:label>Yugoslavia</g:label>
<g:label>Adriatic sea</g:label>
<g:label>south europe</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>HR</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Times Atlas of the World</dc:source>
<geo:lat>44</geo:lat>
<geo:long>16</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>42 13</gml:lowerCorner>
<gml:upperCorner>46 19</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Croissance du secteur de la réfrigération</title>
<link>http://maps.grida.no/go/graphic/croissance-du-secteur-de-la-r-frig-ration</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Wed, 26 May 2010 18:39:23 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/croissance-du-secteur-de-la-r-frig-ration_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>222</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/croissance-du-secteur-de-la-r-frig-ration_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/17CC7A7B-129D-1800-D806-913ED9F01592</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>resource</g:label>
<g:label>kit</g:label>
<g:label>journalist</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Industrial Commodity Statistics Database, Divion statistique des Nations Unies, 2009.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Crushed by war - world conflicts</title>
<link>http://maps.grida.no/go/graphic/crushed-by-war-world-conflicts</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>For people in countries at war or subject to economic embargos many goods are scarce, food and water constituting the most crucial shortages. But they also have to deal regularly with death and injury. In such countries disaster prevention may well not be a priority.</description>
<pubDate>Mon, 06 Feb 2006 18:11:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/crushed-by-war-world-conflicts_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>110</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>For people in countries at war or subject to economic embargos many goods are scarce, food and water constituting the most crucial shortages. But they also have to deal regularly with death and injury. In such countries disaster prevention may well not be a priority.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/crushed-by-war-world-conflicts.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/60586D39-CDD2-12F2-32E9-B239E9963DEB</guid>
<g:label>global</g:label>
<g:label>war</g:label>
<g:label>conflict</g:label>
<g:label>peace</g:label>
<g:label>economy</g:label>
<g:label>embargo</g:label>
<g:label>security</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>PRIO/Uppsala Armed COnflict Dataset 2004, International Peace Research Institute, Oslo (PRIO), Department of Peace and Conflict Research, Uppsala University; Stockholm International Peace Research Institute, 2003</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Crushed by war and world conflicts</title>
<link>http://maps.grida.no/go/graphic/crushed-by-war-and-world-conflicts</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Conflicts increase the risk of food supply instability tremendously
(Figure 31). Countries in conflict and post-conflict
situations tend to be food insecure, with more than
20% of the population, and in many cases far more, lacking
access to adequate food (IFPRI, 2006). The group of
countries that are experiencing civil conflicts cannot meet
their basic needs and are large importers of food. In addition,
the transport of commodities is hazardous and the
situation is not secure enough for farmers to make investment
decisions.</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/crushed-by-war-and-world-conflicts_thumbnail_005.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>101</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Conflicts increase the risk of food supply instability tremendously
(Figure 31). Countries in conflict and post-conflict
situations tend to be food insecure, with more than
20% of the population, and in many cases far more, lacking
access to adequate food (IFPRI, 2006). The group of
countries that are experiencing civil conflicts cannot meet
their basic needs and are large importers of food. In addition,
the transport of commodities is hazardous and the
situation is not secure enough for farmers to make investment
decisions.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/crushed-by-war-and-world-conflicts_005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/99E4E9FB-10F4-F08E-14B3-DFA02531FD4F</guid>
<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>PRIO, 2004.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cryosphere - winter seasons, Northern and Southern Hemispheres</title>
<link>http://maps.grida.no/go/graphic/cryosphere-winter-seasons-northern-and-southern-hemispheres</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Seasonal variation in the extent of ice and snow cover is greatest in the Northern Hemisphere. Imagine the Earth with white caps on the top and bottom. The top cap increases by a factor of six from summer to winter, while the bottom cap only doubles from summer to winter. This difference is due to snow cover: in the Northern Hemisphere snow cover on land varies from less than 2 million km2 in the summer to 40 to 50 million km2 in the winter3. There is little snow cover in the Southern Hemisphere. In Antarctica, land ice covers about 14 million km2 yearround, with little change from summer to winter. Sea ice cover in the Arctic varies between approximately 7 and 15 million km2 seasonally, while sea ice cover in the Antarctic, though about the same extent at its peak, varies much more – from around 3 million km2 during summer to 18 million km2 in winter. This means that there is less multi-year sea ice in the Antarctic than in the Arctic, where much of the sea ice is older than one year.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cryosphere-winter-seasons-northern-and-southern-hemispheres_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>123</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Seasonal variation in the extent of ice and snow cover is greatest in the Northern Hemisphere. Imagine the Earth with white caps on the top and bottom. The top cap increases by a factor of six from summer to winter, while the bottom cap only doubles from summer to winter. This difference is due to snow cover: in the Northern Hemisphere snow cover on land varies from less than 2 million km2 in the summer to 40 to 50 million km2 in the winter3. There is little snow cover in the Southern Hemisphere. In Antarctica, land ice covers about 14 million km2 yearround, with little change from summer to winter. Sea ice cover in the Arctic varies between approximately 7 and 15 million km2 seasonally, while sea ice cover in the Antarctic, though about the same extent at its peak, varies much more – from around 3 million km2 during summer to 18 million km2 in winter. This means that there is less multi-year sea ice in the Antarctic than in the Arctic, where much of the sea ice is older than one year.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cryosphere-winter-seasons-northern-and-southern-hemispheres_001.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/135FB701-8800-C4B7-725B-15D42494F238</guid>
<g:label>global</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>snow</g:label>
<g:label>sea ice</g:label>
<g:label>ice sheets</g:label>
<g:label>albedo</g:label>
<g:label>reflection</g:label>
<g:label>climate</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Based on NASA Blue Marble NG, with data from the National Snow and Ice Data Centre</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cultivated Land in Aral Sea Region</title>
<link>http://maps.grida.no/go/graphic/cultivated-land-in-aral-sea-region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Between 1990 and 2000 the area of cultivated land per capita in the Aral Sea region has dramatically reduced. The predictive models to the year 2020 show the increase demand in irrigation of the region. </description>
<pubDate>Wed, 15 Feb 2006 18:08:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_cultivated_land_in_aral_sea_region_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>310</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Between 1990 and 2000 the area of cultivated land per capita in the Aral Sea region has dramatically reduced. The predictive models to the year 2020 show the increase demand in irrigation of the region. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cultivated_land_in_aral_sea_region_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12385BA5-8455-12CA-150E-13F3AFD6EF7A</guid>
<g:label>aralsea</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>land</g:label>
<g:label>cultivation</g:label>
<g:label>agriculture</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>aralsea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Regional report assessing the implementation of Agenda 21 in Central Asian countries, UNDP Aral Sea Basin Capacity Development Project for Central Asia, Tashkent, 2001; Sorokin D., Sorokin A., Report on the work conducted for the application of the hydrological model towards the assessment of scenarios of the Aral Sea basin development; Ruzlev A., Prikhod’ko V., Application of the Aral Sea Basin Management Model towards specific plans of the Aral Sea basin development, UNDP and SIC ICWC, Tashkent, 2001
</dc:source>
<geo:lat>45</geo:lat>
<geo:long>66.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 53</gml:lowerCorner>
<gml:upperCorner>54 80</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cultivated Land in Aral Sea Region [Russian]</title>
<link>http://maps.grida.no/go/graphic/cultivated-land-in-aral-sea-region-russian</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Between 1990 and 2000 the area of cultivated land per capita in the Aral Sea region has dramatically reduced. The predictive models to the year 2020 show the increase demand in irrigation of the region. In Russian.</description>
<pubDate>Wed, 15 Feb 2006 20:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_cultivated_land_in_aral_sea_region_russian_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>305</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Between 1990 and 2000 the area of cultivated land per capita in the Aral Sea region has dramatically reduced. The predictive models to the year 2020 show the increase demand in irrigation of the region. In Russian.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cultivated_land_in_aral_sea_region_russian_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D44207E8-C4D5-52C9-6183-10450045DBBE</guid>
<g:label>aralsea</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>land</g:label>
<g:label>cultivation</g:label>
<g:label>agriculture</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>aralsea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Regional report assessing the implementation of Agenda 21 in Central Asian countries, UNDP Aral Sea Basin Capacity Development Project for Central Asia, Tashkent, 2001; Sorokin D., Sorokin A., Report on the work conducted for the application of the hydrological model towards the assessment of scenarios of the Aral Sea basin development; Ruzlev A., Prikhod’ko V., Application of the Aral Sea Basin Management Model towards specific plans of the Aral Sea basin development, UNDP and SIC ICWC, Tashkent, 2001
</dc:source>
<geo:lat>45</geo:lat>
<geo:long>66.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 53</gml:lowerCorner>
<gml:upperCorner>54 80</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cumulative impacts on the marine environment</title>
<link>http://maps.grida.no/go/graphic/cumulative-impacts-on-the-marine-environment</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Climate change may, through effects on ocean currents, elevated sea temperatures, coral bleaching, shifts in marine life, ocean acidification and much more severely exacerbate the combined actions of accelerating coastal development, coastal pollution and dead zones, invasive species, bottom trawling and over-harvest. These impacts will be the strongest in 10-15% of the Worlds oceans. These areas, however, are concurrent with the most productive fishing grounds today, responsible for more than half of the marine landings globally.</description>
<pubDate>Fri, 22 Feb 2008 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cumulative-impacts-on-the-marine-environment_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>188</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Climate change may, through effects on ocean currents, elevated sea temperatures, coral bleaching, shifts in marine life, ocean acidification and much more severely exacerbate the combined actions of accelerating coastal development, coastal pollution and dead zones, invasive species, bottom trawling and over-harvest. These impacts will be the strongest in 10-15% of the Worlds oceans. These areas, however, are concurrent with the most productive fishing grounds today, responsible for more than half of the marine landings globally.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cumulative-impacts-on-the-marine-environment_002.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>marine issues</g:label>
<g:label>oceans</g:label>
<g:label>sea</g:label>
<g:label>seas</g:label>
<g:label>ocean</g:label>
<g:label>world ocean</g:label>
<g:label>climate change</g:label>
<g:label>fisheries</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>n/a</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Curitiba city map</title>
<link>http://maps.grida.no/go/graphic/curitiba_city_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Cécile Marin</mapsgrida:designer>
<description>Curitiba has become world-famous for its original approach
to basic municipal problems thanks to a unique mixture of
innovative town planning, determined political leadership
and good public relations.</description>
<pubDate>Tue, 19 Dec 2006 14:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/curitiba_city_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>295</mapsgrida:thumbnailHeight>
<g:author>Cécile Marin</g:author>
<mapsgrida:descriptionnonhtml>Curitiba has become world-famous for its original approach
to basic municipal problems thanks to a unique mixture of
innovative town planning, determined political leadership
and good public relations.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/curitiba_city_map.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5B46E224-C1B8-158B-D612-160B57576D39</guid>
<g:label>BR</g:label>
<g:label>Curitiba</g:label>
<g:label>recycling</g:label>
<g:label>municipal planning</g:label>
<g:label>management</g:label>
<g:label>parks</g:label>
<g:label>waste</g:label>
<dc:contributor>Cécile Marin</dc:contributor>
<dc:coverage>BR</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Instituto de Pesquisa e Planejamento Urbano de Curitiba, 2006</dc:source>
<geo:lat>-14</geo:lat>
<geo:long>-54</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-33 -74</gml:lowerCorner>
<gml:upperCorner>5 -34</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Curitiba, location</title>
<link>http://maps.grida.no/go/graphic/curitiba_location</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Cécile Marin</mapsgrida:designer>
<description>Curitiba has become world-famous for its original approach
to basic municipal problems thanks to a unique mixture of
innovative town planning, determined political leadership
and good public relations.</description>
<pubDate>Tue, 19 Dec 2006 14:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/curitiba_location_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>214</mapsgrida:thumbnailHeight>
<g:author>Cécile Marin</g:author>
<mapsgrida:descriptionnonhtml>Curitiba has become world-famous for its original approach
to basic municipal problems thanks to a unique mixture of
innovative town planning, determined political leadership
and good public relations.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/curitiba_location.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/88D1785F-14A4-9DAF-3BFB-125714F0E05E</guid>
<g:label>BR</g:label>
<g:label>curitiba</g:label>
<g:label>recycling</g:label>
<g:label>municipal program</g:label>
<g:label>waste management</g:label>
<dc:contributor>Cécile Marin</dc:contributor>
<dc:coverage>BR</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>NA</dc:source>
<geo:lat>-14</geo:lat>
<geo:long>-54</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-33 -74</gml:lowerCorner>
<gml:upperCorner>5 -34</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Current and future threats from illegal logging and mining in national parks in Indonesia</title>
<link>http://maps.grida.no/go/graphic/current_and_future_threats_from_illegal_logging_and_mining_in_national_parks_in_indonesia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The management and enforcement of the protection regime in Indonesia is insufficient, and illegal activities - such as logging and mining, is rampant. The RAPPAM methodology, developed by WWF, has been used to assess the relative pressures and threats using questionnaires and workshops. Borneo and Sumatra are home to the Orangutan, and the protected areas represent vital habitat for the survival of the species.</description>
<pubDate>Tue, 06 Feb 2007 11:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/current_and_future_threats_from_illegal_logging_and_mining_in_national_parks_in_indonesia_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>296</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The management and enforcement of the protection regime in Indonesia is insufficient, and illegal activities - such as logging and mining, is rampant. The RAPPAM methodology, developed by WWF, has been used to assess the relative pressures and threats using questionnaires and workshops. Borneo and Sumatra are home to the Orangutan, and the protected areas represent vital habitat for the survival of the species.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/current_and_future_threats_from_illegal_logging_and_mining_in_national_parks_in_indonesia.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FB7CE306-115A-5AB2-BEC7-DE921528E1CA</guid>
<g:label>ID</g:label>
<g:label>protected areas</g:label>
<g:label>conservation</g:label>
<g:label>hunting</g:label>
<g:label>mining</g:label>
<g:label>logging</g:label>
<g:label>forestry</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>ID</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Indonesian Ministry of Foreign Affairs, RAPPAM asssement report 2005</dc:source>
<geo:lat>-2.5</geo:lat>
<geo:long>118</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-10 95</gml:lowerCorner>
<gml:upperCorner>5 141</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Current and past radiative forcing, from human and natural causes</title>
<link>http://maps.grida.no/go/graphic/current-and-past-radiative-forcing-from-human-and-natural-causes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The radiative forcing from the increase in anthropogenic greenhouse gases since the pre-industrial era is positive (warming) with a small uncertainty range; that from the direct effects of aerosols is negative (cooling) and smaller; whereas the negative forcing from the indirect effects of aerosols (on clouds and the hydrologic cycle) might be large but is not well quantified. Key anthropogenic and natural factors causing a change in radiative forcing from year 1750 to year 2000 are shown in this figure, where wide, colored bars mark the factors whose radiative forcing can be quantified. Only some of the aerosol effects are estimated here and denoted as ranges. Other factors besides atmospheric constituents -- solar irradiance and land-use change -- are also shown. Stratospheric aerosols from large volcanic eruptions have led to important, but short-lived, negative forcings (particularly during the periods 1880-1920 and 1960-1994), which are not important over the time scale since the pre-industrial era and not shown. The sum of quantified factors in the figure is positive, but this does not include the potentially large, negative forcing from aerosol indirect effects.</description>
<pubDate>Mon, 28 Aug 2006 10:53:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/current-and-past-radiative-forcing-from-human-and-natural-causes_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>168</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The radiative forcing from the increase in anthropogenic greenhouse gases since the pre-industrial era is positive (warming) with a small uncertainty range; that from the direct effects of aerosols is negative (cooling) and smaller; whereas the negative forcing from the indirect effects of aerosols (on clouds and the hydrologic cycle) might be large but is not well quantified. Key anthropogenic and natural factors causing a change in radiative forcing from year 1750 to year 2000 are shown in this figure, where wide, colored bars mark the factors whose radiative forcing can be quantified. Only some of the aerosol effects are estimated here and denoted as ranges. Other factors besides atmospheric constituents -- solar irradiance and land-use change -- are also shown. Stratospheric aerosols from large volcanic eruptions have led to important, but short-lived, negative forcings (particularly during the periods 1880-1920 and 1960-1994), which are not important over the time scale since the pre-industrial era and not shown. The sum of quantified factors in the figure is positive, but this does not include the potentially large, negative forcing from aerosol indirect effects.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/current-and-past-radiative-forcing-from-human-and-natural-causes.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FCBE1110-879C-BDD0-CBCB-C69462D91CDA</guid>
<g:label>global</g:label>
<g:label>climate change</g:label>
<g:label>greenhouse effect</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>various</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Current and potential arable land use in Africa</title>
<link>http://maps.grida.no/go/graphic/current_and_potential_arable_land_use_in_africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Out of the total land area in Africa, only a fraction is used for arable land. Using soil, land cover and climatic characteristics a FAO study has estimated the potential land area for rainfed crops, excluding built up areas and forests – neither of which would be available for agriculture. According to the study, the potential – if realised – would mean an increase ranging from 150 – 700% percent per region, with a total potential for the whole of Africa in 300 million hectares. Note that the actual arable land in 2003 is higher than the potential in a few countries, like Egypt, due to irrigation.</description>
<pubDate>Thu, 02 Nov 2006 16:51:57 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/current_and_potential_arable_land_use_in_africa_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>169</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Out of the total land area in Africa, only a fraction is used for arable land. Using soil, land cover and climatic characteristics a FAO study has estimated the potential land area for rainfed crops, excluding built up areas and forests – neither of which would be available for agriculture. According to the study, the potential – if realised – would mean an increase ranging from 150 – 700% percent per region, with a total potential for the whole of Africa in 300 million hectares. Note that the actual arable land in 2003 is higher than the potential in a few countries, like Egypt, due to irrigation.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/current_and_potential_arable_land_use_in_africa_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A9FDF911-E9B6-1473-3BB8-A98D3114171D</guid>
<g:label>geoafrica</g:label>
<g:label>crops</g:label>
<g:label>agriculture</g:label>
<g:label>rainfed agriculture</g:label>
<g:label>arable land</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAOSTAT, FAO Terrastat</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Current marine shipping uses in the Arctic</title>
<link>http://maps.grida.no/go/graphic/current-marine-shipping-uses-in-the-arctic</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>Biological invasions are known from around the globe but are relatively less known or studied in the Arctic. This secondary migration of invasives complicates ecological interactions as naturally occurring species from areas adjacent to the Arctic are also expanding their ranges northward. Another study found that the rate of marine invasion is increasing; that most reported invasions are by crustaceans and molluscs; and, importantly, that most invasions have resulted from shipping. Given the findings of the recent analysis of current Arctic shipping and the potential for climate change to expand such shipping, this has potentially very high relevance for future marine invasive risks to Arctic waters. In fact, in August 2009, two German vessels moving Korean goods from Vladivostok to the Netherlands along the Northern Sea Route became the first legal commercial ship crossings of the Arctic without icebreaker assistance. Studies of polar shipping operations have demonstrated that the external hull and ballast tanks of vessels operating in ice-covered waters can support a wide variety of nonnative marine organisms.
</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/current-marine-shipping-uses-in-the-arctic_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>Biological invasions are known from around the globe but are relatively less known or studied in the Arctic. This secondary migration of invasives complicates ecological interactions as naturally occurring species from areas adjacent to the Arctic are also expanding their ranges northward. Another study found that the rate of marine invasion is increasing; that most reported invasions are by crustaceans and molluscs; and, importantly, that most invasions have resulted from shipping. Given the findings of the recent analysis of current Arctic shipping and the potential for climate change to expand such shipping, this has potentially very high relevance for future marine invasive risks to Arctic waters. In fact, in August 2009, two German vessels moving Korean goods from Vladivostok to the Netherlands along the Northern Sea Route became the first legal commercial ship crossings of the Arctic without icebreaker assistance. Studies of polar shipping operations have demonstrated that the external hull and ballast tanks of vessels operating in ice-covered waters can support a wide variety of nonnative marine organisms.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/current-marine-shipping-uses-in-the-arctic.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/AFA3EF60-658F-DB2F-36F1-1045338579A3</guid>
<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>shipping</g:label>
<g:label>development</g:label>
<g:label>oil</g:label>
<g:label>tourism</g:label>
<g:label>natural gas</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Arctic Council. 2009. Arctic Marine Shipping Assessment 2009 Report. http://www.arcticportal.org/pame/amsa [Accessed 4 January 2010].
</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Current pressures on national parks on Indonesian Borneo and Sumatra (illegal logging, hunting and mining)</title>
<link>http://maps.grida.no/go/graphic/current_pressures_on_national_parks_on_indonesian_borneo_and_sumatra_illegal_logging_hunting_and_mining</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The management and enforcement of the protection regime in Indonesia is insufficient, and illegal activities - such as logging, hunting and mining, is rampant. The RAPPAM methodology, developed by WWF, has been used to assess the relative pressures and threats using questionnaires and workshops. Borneo and Sumatra are home to the Orangutan, and the protected areas represent vital habitat for the survival of the species.</description>
<pubDate>Tue, 06 Feb 2007 11:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/current_pressures_on_national_parks_on_indonesian_borneo_and_sumatra_illegal_logging_hunting_and_mining_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The management and enforcement of the protection regime in Indonesia is insufficient, and illegal activities - such as logging, hunting and mining, is rampant. The RAPPAM methodology, developed by WWF, has been used to assess the relative pressures and threats using questionnaires and workshops. Borneo and Sumatra are home to the Orangutan, and the protected areas represent vital habitat for the survival of the species.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_parks_pressures.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/ADBAB52D-1460-D690-CC45-109354DA32F1</guid>
<g:label>borneosumatra</g:label>
<g:label>protected areas</g:label>
<g:label>biodiversity</g:label>
<g:label>conservation</g:label>
<g:label>orangutan</g:label>
<g:label>great apes</g:label>
<g:label>habitat</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>borneosumatra</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Indonesian Ministry of Foreign Affairs, RAPPAM asssement report 2005</dc:source>
<geo:lat>0</geo:lat>
<geo:long>107.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-10 95</gml:lowerCorner>
<gml:upperCorner>10 120</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Current Valuation Estimates of Blue Carbon Sink</title>
<link>http://maps.grida.no/go/graphic/current-valuation-estimates-of-blue-carbon-sink</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Although coastal ecosystems are already among the most valuable on the planet, the current estimates of the economic value for some of the oceans blue carbon sinks are surprisingly low. How should human perception of these important ecosystems change as we learn of the vast benefits of maintaining healthy coasts and oceans?</description>
<pubDate>Wed, 14 Oct 2009 12:06:45 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/current-valuation-estimates-of-blue-carbon-sink_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>218</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Although coastal ecosystems are already among the most valuable on the planet, the current estimates of the economic value for some of the oceans blue carbon sinks are surprisingly low. How should human perception of these important ecosystems change as we learn of the vast benefits of maintaining healthy coasts and oceans?</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/current-valuation-estimates-of-blue-carbon-sink.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/17303638-F73D-E57B-FFB6-8A407040FD7B</guid>
<g:label>global</g:label>
<g:label>Blue</g:label>
<g:label>Carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Martinez et al. 2007; Gunawardean and Rowan, 2005; Spurgeon, 2004; Costanza, 1997.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Cutting Smaller Parcels in Hälsingland Sweden</title>
<link>http://maps.grida.no/go/graphic/cutting-smaller-parcels-in-h-lsingland-sweden</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 21:42:59 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cutting-smaller-parcels-in-h-lsingland-sweden_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cutting-smaller-parcels-in-h-lsingland-sweden.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5DF51346-82F7-8154-FAF7-170A4E59896F</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EEA 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Czech Republic emissions of greenhouse gases (CO2, CH4, N2O) 1990 and 2010 projections</title>
<link>http://maps.grida.no/go/graphic/czech_republic_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/czech_republic_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>197</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/czech_republic_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9947E89E-59EB-42D9-990F-D17898A2C308</guid>
<g:label>CZ</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>methane</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CZ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>49.5</geo:lat>
<geo:long>15</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>48 12</gml:lowerCorner>
<gml:upperCorner>51 18</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Czech Republic, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/czech_republic_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Czech Republic.
Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop6_total_greenhouse_gas_emissions_czech_republic_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Czech Republic.
Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop6_total_greenhouse_gas_emissions_czech_republic.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/AD2152F7-3D64-43E7-975F-0567F686DB64</guid>
<g:label>CZ</g:label>
<g:label>cop7</g:label>
<g:label>Czech Republic</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<g:label></g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CZ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Actual emissions UNFCCC/SB1/2000/11 table B.1
Projected emissions UNFCCC/1998/Add.2 table C.6
</dc:source>
<geo:lat>49.5</geo:lat>
<geo:long>15</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>48 12</gml:lowerCorner>
<gml:upperCorner>51 18</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Czech Republic, topographic map</title>
<link>http://maps.grida.no/go/graphic/czech_republic_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Czech Republic (Czechia) is located in Central Europe, southeast of Germany, comprising of 78,866 sq km. It has a population of 10,241,138 (2005). Major environmental concerns are: air and water pollution in areas of northwest Bohemia and in northern Moravia around Ostrava present health risks; acid rain damaging forests; efforts to bring industry up to EU code should improve domestic pollution.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_czech_republic_topographic_map.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>141</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Czech Republic (Czechia) is located in Central Europe, southeast of Germany, comprising of 78,866 sq km. It has a population of 10,241,138 (2005). Major environmental concerns are: air and water pollution in areas of northwest Bohemia and in northern Moravia around Ostrava present health risks; acid rain damaging forests; efforts to bring industry up to EU code should improve domestic pollution.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_czech_republic_topographic_map.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A758CCF4-7A45-4B73-995C-C719B1A29914</guid>
<g:label>CZ</g:label>
<g:label>Czech Republic</g:label>
<g:label>central europe</g:label>
<g:label>Czechoslovakia</g:label>
<g:label>Soviet union</g:label>
<g:label>topography</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CZ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Times Atlas of the World</dc:source>
<geo:lat>49.5</geo:lat>
<geo:long>15</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>48 12</gml:lowerCorner>
<gml:upperCorner>51 18</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Damming the world</title>
<link>http://maps.grida.no/go/graphic/damming-the-world</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Phillippe Rekacewicz, February 2006</mapsgrida:designer>
<description>The construction of large dams - defined as those with walls at least 15 metres high - has increased significantly over the past 50 years. The average height of new dams, estimated at 30-34 m from 1940-1990, increased to about 45 m in the 1990s, due largely to construction trends in Asia. The average area and volume of freshwater reservoirs have also steadily increased, rising to about 50 km2 between 1945 and1970, declining through the 1980s to 17 km2, and increasing again in the 1990s to about 23 km2 (WCD, 2000). By 1997 there were more than 45,000 large dams worldwide, 22,100 of them in China. Other nations with many large dams include the United States (with 6,390 large dams), India (with more than 4,000), and Spain and Japan (with 1,000-1,200 each) (WCD, 2000).
The countries with the greatest number of large dams under construction, in order of significance, are: Turkey, China, Japan, Iraq, Iran, Greece, Romania and Spain, and countries in the Parana basin in South America. The river basins with the largest dams under construction are: the Yangtze with 38, the Tigris and Euphrates, with 19 each, and the Danube, with 11 (Revenga et al., 2000). Damming and flood control can have negative impacts, such as declining fish catches, loss of freshwater biodiversity, increases in the frequency and severity of floods, loss of soil nutrients on floodplains, and increases in diseases such as schistosomiasis and malaria. In Egypt, for example, the massive Aswan Dam has caused the fertile Nile Delta to shrink, with 30 of 47 commercially exploited fish species becoming economically or biologically extinct. On the Mississippi River, the rising frequency and severity of flooding - attributed to local flood control structures - have reduced the river’s ability to support native flora and fauna, while a dramatic increase in floods on the River Rhine has been attributed to increased urbanization, engineering, and the walling off of the river from its floodplain (Revenga et al., 1998).</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/damming-the-world_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>168</mapsgrida:thumbnailHeight>
<g:author>Phillippe Rekacewicz, February 2006</g:author>
<mapsgrida:descriptionnonhtml>The construction of large dams - defined as those with walls at least 15 metres high - has increased significantly over the past 50 years. The average height of new dams, estimated at 30-34 m from 1940-1990, increased to about 45 m in the 1990s, due largely to construction trends in Asia. The average area and volume of freshwater reservoirs have also steadily increased, rising to about 50 km2 between 1945 and1970, declining through the 1980s to 17 km2, and increasing again in the 1990s to about 23 km2 (WCD, 2000). By 1997 there were more than 45,000 large dams worldwide, 22,100 of them in China. Other nations with many large dams include the United States (with 6,390 large dams), India (with more than 4,000), and Spain and Japan (with 1,000-1,200 each) (WCD, 2000).
The countries with the greatest number of large dams under construction, in order of significance, are: Turkey, China, Japan, Iraq, Iran, Greece, Romania and Spain, and countries in the Parana basin in South America. The river basins with the largest dams under construction are: the Yangtze with 38, the Tigris and Euphrates, with 19 each, and the Danube, with 11 (Revenga et al., 2000). Damming and flood control can have negative impacts, such as declining fish catches, loss of freshwater biodiversity, increases in the frequency and severity of floods, loss of soil nutrients on floodplains, and increases in diseases such as schistosomiasis and malaria. In Egypt, for example, the massive Aswan Dam has caused the fertile Nile Delta to shrink, with 30 of 47 commercially exploited fish species becoming economically or biologically extinct. On the Mississippi River, the rising frequency and severity of flooding - attributed to local flood control structures - have reduced the river’s ability to support native flora and fauna, while a dramatic increase in floods on the River Rhine has been attributed to increased urbanization, engineering, and the walling off of the river from its floodplain (Revenga et al., 1998).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/damming-the-world_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11361ADD-9254-12AB-DF2B-EFAB2771E0D8</guid>
<g:label>global</g:label>
<g:label>vital</g:label>
<g:label>water</g:label>
<g:label>reefs</g:label>
<g:label>dam</g:label>
<g:label>construction</g:label>
<g:label>trends</g:label>
<g:label>asia</g:label>
<g:label>freshwater</g:label>
<g:label>reservoir</g:label>
<dc:contributor>Phillippe Rekacewicz, February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Revenga et al., World Resources Institute (WRI), Washington DC, 2000.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Daugava/Zapadnaya Dvina and Nemunas/Neman river basins</title>
<link>http://maps.grida.no/go/graphic/daugava_zapadnaya_dvina_and_nemunas_neman_river_basins</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Overview over the transboundary Daugava/Zapadnaya Dvina and Nemunas/Neman river basins in North Eastern Europe. These basins span the countries of Russia, Latvia, Lithuania, Belarus and Poland, and the rivers drain to the Baltic Sea. This map was prepared for the DatabasiN project, which will coordinate spatial information for transboundary river basin management.</description>
<pubDate>Tue, 11 Jul 2006 12:53:22 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/daugava_zapadnaya_dvina_and_nemunas_neman_river_basins_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Overview over the transboundary Daugava/Zapadnaya Dvina and Nemunas/Neman river basins in North Eastern Europe. These basins span the countries of Russia, Latvia, Lithuania, Belarus and Poland, and the rivers drain to the Baltic Sea. This map was prepared for the DatabasiN project, which will coordinate spatial information for transboundary river basin management.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/daugava_zapadnaya_dvina_and_nemunas_neman_river_basins_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EBF686F4-B266-1250-6B81-15206E9C1A9D</guid>
<g:label>databasin</g:label>
<g:label>river basin management</g:label>
<g:label>freshwater</g:label>
<g:label>transboundary issues</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>databasin</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Various</dc:source>
<geo:lat>55.5</geo:lat>
<geo:long>24</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>52 20</gml:lowerCorner>
<gml:upperCorner>59 28</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Decline in trophic level of fisheries catch since 1950</title>
<link>http://maps.grida.no/go/graphic/decline-in-trophic-level-of-fisheries-catch-since-1950</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>A trophic level of an organism is its position in a food chain. Levels are numbered according to how far particular organisms are along the chain from the primary producers, to herbivores, to predators, to carnivores or top carnivores.</description>
<pubDate>Sun, 03 Feb 2008 17:27:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/decline-in-trophic-level-of-fisheries-catch-since-1950_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>89</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>A trophic level of an organism is its position in a food chain. Levels are numbered according to how far particular organisms are along the chain from the primary producers, to herbivores, to predators, to carnivores or top carnivores.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/decline-in-trophic-level-of-fisheries-catch-since-_952.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B1A29301-9703-55EF-C3FE-1491022EC9A1</guid>
<g:label>global</g:label>
<g:label>fisheries</g:label>
<g:label>fish</g:label>
<g:label>depletion</g:label>
<g:label>consumption</g:label>
<g:label>ecosystem</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Declines in carbon in living biomass and in extent of forest</title>
<link>http://maps.grida.no/go/graphic/declines-in-carbon-in-living-biomass-and-in-extent-of-forest</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data.</description>
<pubDate>Mon, 05 Oct 2009 13:39:40 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/declines-in-carbon-in-living-biomass-and-in-extent-of-forest_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>164</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/declines-in-carbon-in-living-biomass-and-in-extent-of-forest_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/155FDBFC-15FA-7851-DCA8-10F6D8DC16CC</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO 2006a</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Deep underwater, deeper underground</title>
<link>http://maps.grida.no/go/graphic/deep-underwater-deeper-underground</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 04 Feb 2010 11:05:11 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/deep-underwater-deeper-underground_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>215</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/deep-underwater-deeper-underground_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13CB3312-F95A-9E54-7974-167F5D5CE14E</guid>
<g:label>global</g:label>
<g:label>unep</g:label>
<g:label>continental</g:label>
<g:label>shelf</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Chevron, 2009</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Deep waters within and beyond areas of national jurisdiction in East Africa</title>
<link>http://maps.grida.no/go/graphic/deep-waters-within-and-beyond-areas-of-national-jurisdiction-in-east-africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP-WCMC and UNEP/GRID-Arendal</mapsgrida:designer>
<description>The figure demonstrates that the overwhelming majority of marine areas under national jurisdiction in East Africa are deeper than 200 metres (dark blue). Areas in red indicate where the geology/geomorphology might justify (subject to further research and interpretation) a submission/claim to be made by coastal states individually or jointly to increase their national seabed and subsoil areas, which, in turn, may be of major economic potential.</description>
<pubDate>Mon, 25 Feb 2008 11:43:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/deep-waters-within-and-beyond-areas-of-national-jurisdiction-in-east-africa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>228</mapsgrida:thumbnailHeight>
<g:author>UNEP-WCMC and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The figure demonstrates that the overwhelming majority of marine areas under national jurisdiction in East Africa are deeper than 200 metres (dark blue). Areas in red indicate where the geology/geomorphology might justify (subject to further research and interpretation) a submission/claim to be made by coastal states individually or jointly to increase their national seabed and subsoil areas, which, in turn, may be of major economic potential.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/deep-waters-within-and-beyond-areas-of-national-jurisdiction-in-east-africa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FEB56CF0-109F-599E-C91D-C6A325755328</guid>
<g:label>geoeafrica</g:label>
<g:label>jurisdication</g:label>
<g:label>national resources</g:label>
<g:label>continental shelf</g:label>
<g:label>governance</g:label>
<dc:contributor>UNEP-WCMC and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>various</dc:source>
<geo:lat>-3.77</geo:lat>
<geo:long>36.62</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-29.77 21.83</gml:lowerCorner>
<gml:upperCorner>22.23 51.41</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Defining and measuring biodiversity</title>
<link>http://maps.grida.no/go/graphic/defining-and-measuring-biodiversity</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 16:44:53 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/defining-and-measuring-biodiversity_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>159</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/defining-and-measuring-biodiversity_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A325C79F-C3E8-7B11-860B-CA406E82A5B6</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Definition of the geographic areas covered in the Arctic Biodiversity Assessment</title>
<link>http://maps.grida.no/go/graphic/definition-of-the-geographic-areas-covered-in-the-arctic-biodiversity-assessment</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>The Arctic Council study on trends in the polar ecosystems - the Arctic Biodiversity Assessment (ABA) focuses on the areas displayed in this map. The high- and low Arctic regions are defined from the bioclimatic zones in the Circumpolar Arctic Vegetation Map (CAVM), while the sub-Arctic zone is the area definition that has been used int he Arctic Council.</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/definition-of-the-geographic-areas-covered-in-the-arctic-biodiversity-assessment_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>The Arctic Council study on trends in the polar ecosystems - the Arctic Biodiversity Assessment (ABA) focuses on the areas displayed in this map. The high- and low Arctic regions are defined from the bioclimatic zones in the Circumpolar Arctic Vegetation Map (CAVM), while the sub-Arctic zone is the area definition that has been used int he Arctic Council.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/definition-of-the-geographic-areas-covered-in-the-arctic-biodiversity-assessment.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/15A4A22A-9B1A-E286-83FD-E7074755F5AE</guid>
<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>climate</g:label>
<g:label>zones</g:label>
<g:label>vegetation</g:label>
<g:label>tundra</g:label>
<g:label>high arctic</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>CAVM team. 2005. Circumpolar Arctic Vegetation Mapping Project - Bioclimatic subzones. http://www.geobotany.uaf.edu/cavm/ (Accessed May 5, 2009)</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Definitions of the Arctic</title>
<link>http://maps.grida.no/go/graphic/definitions_of_the_arctic</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Several definitions of the Arctic as a region exist and are all used extensively. Definitions of the geographic boundaries of the Arctic vary, including such definitions as the area with a July isotherm below 10º C, vegetation distribution (tundra) or political boundaries, such as the definition by CAFF (CAFF, 2001). Nowhere else on Earth do we find such vast areas of relatively undisturbed marine and coastal ecosystems.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/definitions_of_the_arctic_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>180</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Several definitions of the Arctic as a region exist and are all used extensively. Definitions of the geographic boundaries of the Arctic vary, including such definitions as the area with a July isotherm below 10º C, vegetation distribution (tundra) or political boundaries, such as the definition by CAFF (CAFF, 2001). Nowhere else on Earth do we find such vast areas of relatively undisturbed marine and coastal ecosystems.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/definitions_of_the_arctic.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12BAEC32-15D5-440E-9059-8D8FAFAA0EF4</guid>
<g:label>geoarctic</g:label>
<g:label>high arctic</g:label>
<g:label>low arctic</g:label>
<g:label>subarctic</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>AMAP, 1998. AMAP Assessment Report: Arctic Pollution Issues. AMAP, 1997. Arctic Pollution Issues: A State of the Arctic Evironment Reopert. CAFF, 2001. Arctic Flora and Fauna: Status and Conservation.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Deforestation Benefits</title>
<link>http://maps.grida.no/go/graphic/deforestation-benefits</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 14:43:07 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/deforestation-benefits_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>136</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/deforestation-benefits.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7B01CE7E-6542-76ED-4215-8EEC5C9286B3</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Moutinho and Schwartzman, 2005.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Deforestation Causes in Brazil</title>
<link>http://maps.grida.no/go/graphic/deforestation-causes-in-brazil</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 17:09:50 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/deforestation-causes-in-brazil_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>178</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/deforestation-causes-in-brazil.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1532A025-DE55-11FD-4B3D-F110B03BF950</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Mongabay.com</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Deforestation in Brazil Compared with the Area of Turkey</title>
<link>http://maps.grida.no/go/graphic/deforestation-in-brazil-compared-with-the-area-of-turkey</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Over the past 40 years, about a fifth
of Brazil’s Amazon rainforest has been
deforested (Reuters 2008). Official statistics
show that annual deforestation
has been close to 20 000 square kilometres
over the last 10 years, reaching
a peak of 27 429 square kilometers in
2004, and then being reduced annually
to 11 224 square kilometers in 2007
(INPE 2008).</description>
<pubDate>Thu, 08 Oct 2009 21:37:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/deforestation-in-brazil-compared-with-the-area-of-turkey_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>133</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Over the past 40 years, about a fifth
of Brazil’s Amazon rainforest has been
deforested (Reuters 2008). Official statistics
show that annual deforestation
has been close to 20 000 square kilometres
over the last 10 years, reaching
a peak of 27 429 square kilometers in
2004, and then being reduced annually
to 11 224 square kilometers in 2007
(INPE 2008).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/deforestation-in-brazil-compared-with-the-area-of-turkey_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9E16F944-9A9B-10B3-8226-1558199E20D8</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Deforestation in Rondonia (Brazil) in the nineties</title>
<link>http://maps.grida.no/go/graphic/deforestation-in-rondonia-brazil-in-the-nineties</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows deforestation in Rondonia, Brazil. Brazil covers more than one quarter of the worlds tropical forests. Since 1980 the deforestation has steadily increased. Deforestration can occur as a result of the clearing of large areas for agricultural purposes, commercial logging and the construction of towns or dams. Please be advised that this graphic is likely outdated.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/deforestation-in-rondonia-brazil-in-the-nineties_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>159</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows deforestation in Rondonia, Brazil. Brazil covers more than one quarter of the worlds tropical forests. Since 1980 the deforestation has steadily increased. Deforestration can occur as a result of the clearing of large areas for agricultural purposes, commercial logging and the construction of towns or dams. Please be advised that this graphic is likely outdated.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/deforestation-in-rondonia-brazil-in-the-nineties.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FA816D48-833B-42D8-A434-0D90F5405A54</guid>
<g:label>BR</g:label>
<g:label>deforestation</g:label>
<g:label>forestry</g:label>
<g:label>agricultural science</g:label>
<g:label>tropical rainforest</g:label>
<g:label>land development</g:label>
<g:label>logging</g:label>
<g:label>Brazil</g:label>
<g:label>Rondonia</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>BR</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>-14</geo:lat>
<geo:long>-54</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-33 -74</gml:lowerCorner>
<gml:upperCorner>5 -34</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Deforestation in the Amazon region</title>
<link>http://maps.grida.no/go/graphic/deforestation_in_the_amazon_region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The amount of deforestation in the Amazon region is increasing at an alarming rate. This graphic compares the amount of deforested areas in the Amazon region to region in Norway in order to show how much is being destroyed.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/deforestation_in_the_amazon_region_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>157</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The amount of deforestation in the Amazon region is increasing at an alarming rate. This graphic compares the amount of deforested areas in the Amazon region to region in Norway in order to show how much is being destroyed.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/deforestation_in_the_amazon_region.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D7D30BD8-7092-4200-9C5A-128958FC19E7</guid>
<g:label>amazon</g:label>
<g:label>amazon</g:label>
<g:label>forest</g:label>
<g:label>deforestation</g:label>
<g:label>climate change</g:label>
<g:label>South America</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>amazon</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>-5</geo:lat>
<geo:long>-64</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-21 -81</gml:lowerCorner>
<gml:upperCorner>11 -47</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Deforestation in West Africa: Case Cote-d'Ivoire</title>
<link>http://maps.grida.no/go/graphic/deforestation_in_west_africa_case_cote_d_ivoire</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Rekacewicz, Philippe, based on a sketch by Le Monde, Paris; UNEP/GRID-Arendal</mapsgrida:designer>
<description>The average annual rate of change in total forest area from 1990 to 2000 for the whole of Africa was estimated to be -0.74 %, equivalent to losing more than 5 million ha of forest a year, an area roughly the size of Togo, and the highest rate of any region. (UNEP: GEO [Global Environment Outlook] 3). This graphic shows how deforestation has occurred in Cote d'Ivoire (the Ivory Coast) by comparing the area's forests in 1955 and in 1988. It shows areas in which forests were converted for agriculture, areas of closed forest cover, and areas of fragmented forest cover. This resource also includes a graphic that shows the areas of Africa that are affected by deforestation.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/vitalafrica_07-cotedivoire_tn.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>117</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Rekacewicz, Philippe, based on a sketch by Le Monde, Paris; UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The average annual rate of change in total forest area from 1990 to 2000 for the whole of Africa was estimated to be -0.74 %, equivalent to losing more than 5 million ha of forest a year, an area roughly the size of Togo, and the highest rate of any region. (UNEP: GEO [Global Environment Outlook] 3). This graphic shows how deforestation has occurred in Cote d&apos;Ivoire (the Ivory Coast) by comparing the area&apos;s forests in 1955 and in 1988. It shows areas in which forests were converted for agriculture, areas of closed forest cover, and areas of fragmented forest cover. This resource also includes a graphic that shows the areas of Africa that are affected by deforestation.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_deforestation_in_west_africa_case_cote_d_ivoire.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8CB5E964-33DF-4CE7-98BA-B9436530EA91</guid>
<g:label>CI</g:label>
<g:label>climate change</g:label>
<dc:contributor>Rekacewicz, Philippe, based on a sketch by Le Monde, Paris; UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CI</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Le Monde, Institute of Research for Development (IRD), 1996; UNEP, International Soil Reference and Information Centre (ISRIC), World Atlas of Desertification, 1997.</dc:source>
<geo:lat>7</geo:lat>
<geo:long>-5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>4 -8</gml:lowerCorner>
<gml:upperCorner>10 -2</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Degraded soils</title>
<link>http://maps.grida.no/go/graphic/degraded-soils</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Soil degradation is a key global environmental indicator. Very degraded soils are found especially in semi-arid areas (Sub-Saharan Africa, Chile), areas with high population pressure (China, Mexico, India) and regions undergoing deforestation (Indonesia). Degraded soils reduce the possibilities for agriculture, increases the expansion of drylands/desert and hightens the risk for erosion. This map presents the state of global soil degradation, from the GLASOD study in 1997.</description>
<pubDate>Sat, 09 Feb 2008 23:33:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/degraded-soils_thumbnail_006.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>210</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>209</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Soil degradation is a key global environmental indicator. Very degraded soils are found especially in semi-arid areas (Sub-Saharan Africa, Chile), areas with high population pressure (China, Mexico, India) and regions undergoing deforestation (Indonesia). Degraded soils reduce the possibilities for agriculture, increases the expansion of drylands/desert and hightens the risk for erosion. This map presents the state of global soil degradation, from the GLASOD study in 1997.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/degraded-soils_007.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C4C4E993-C56E-1414-CB5F-589990B4F9B2</guid>
<g:label>global</g:label>
<g:label>soil degradation</g:label>
<g:label>deforestation</g:label>
<g:label>erosion</g:label>
<g:label>GLASOD</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP, International Soil Reference and Information Centre (ISRIC), World Atlas of Desertification, 1997</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Degree of protection of terrestrial ecoregions and large marine ecosystems (per cent)</title>
<link>http://maps.grida.no/go/graphic/degree-of-protection-of-terrestrial-ecoregions-and-large-marine-ecosystems-per-cent</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 14:19:28 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/degree-of-protection-of-terrestrial-ecoregions-and-large-marine-ecosystems-per-cent_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>91</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/degree-of-protection-of-terrestrial-ecoregions-and-large-marine-ecosystems-per-cent_001.jpg</g:image_link>
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<title>Delete</title>
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<title>Demography of indigenous peoples of the Arctic based on linguistic groups</title>
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<dc:source>Adopted from map by W.K. Dallmann published in Arctic Human Development Report (2004). Data and information compiled by W.K. Dallmann, Norwegian Polar Institute and P. Schweitzer, University of Alaska Fairbanks</dc:source>
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<title>Demography of indigenous peoples of the Arctic based on linguistic groups</title>
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<description>Areas show colours according to the original languages of the respective indigenous peoples, even if they do not speak their languages today. Notes: Overlapping populations are not shown. The map does not claim to show exact boundaries between the individual language groups. Typical colonial populations, which are not traditional Arctic populations, are not shown (Danes in Greenland, Russians in the Russian Federation, non-native Americans in North America).</description>
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<title>Demography of indigenous peoples of the Arctic based on linguistic groups</title>
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</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/demography-of-indigenous-peoples-of-the-arctic-based-on-linguistic-groups_004.jpg</g:image_link>
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<g:label>geoarctic</g:label>
<g:label>language</g:label>
<g:label>demography</g:label>
<g:label>indigenous peoples</g:label>
<g:label>population</g:label>
<g:label>linguistics</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Adopted from map by W.K. Dallmann published in Arctic Human Development Report (2004). Data and information compiled by W.K. Dallmann, Norwegian Polar Institute and P. Schweitzer, University of Alaska Fairbanks</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Demography of indigenous peoples of the Arctic based on linguistic groups (major groups)</title>
<link>http://maps.grida.no/go/graphic/demography-of-indigenous-peoples-of-the-arctic-based-on-linguistic-groups-major-groups</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Areas show colours according to the original languages of the respective indigenous peoples, even if they do not speak their languages today. Notes: Overlapping populations are not shown. The map does not claim to show exact boundaries between the individual language groups. Typical colonial populations, which are not traditional Arctic populations, are not shown (Danes in Greenland, Russians in the Russian Federation, non-native Americans in North America). This map is simplified from http://maps.grida.no/go/graphic/demography-of-indigenous-peoples-of-the-arctic-based-on-linguistic-groups</description>
<pubDate>Wed, 13 Aug 2008 20:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/demography-of-indigenous-peoples-of-the-arctic-based-on-linguistic-groups-major-groups_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Areas show colours according to the original languages of the respective indigenous peoples, even if they do not speak their languages today. Notes: Overlapping populations are not shown. The map does not claim to show exact boundaries between the individual language groups. Typical colonial populations, which are not traditional Arctic populations, are not shown (Danes in Greenland, Russians in the Russian Federation, non-native Americans in North America). This map is simplified from http://maps.grida.no/go/graphic/demography-of-indigenous-peoples-of-the-arctic-based-on-linguistic-groups</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/demography-of-indigenous-peoples-of-the-arctic-based-on-linguistic-groups-major-groups_004.jpg</g:image_link>
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<g:label>geoarctic</g:label>
<g:label>language</g:label>
<g:label>demography</g:label>
<g:label>indigenous peoples</g:label>
<g:label>population</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Adopted from map by W.K. Dallmann published in Arctic Human Development Report (2004). Data and information compiled by W.K. Dallmann, Norwegian Polar Institute and P. Schweitzer, University of Alaska Fairbanks</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Demography of the Caucausus ecoregion, rural and urban population</title>
<link>http://maps.grida.no/go/graphic/demography-of-the-caucausus-ecoregion-rural-and-urban-population</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Manana Kurtubadze</mapsgrida:designer>
<description>The Caucasus ecoregion, which includes the countries of Georgia, Azerbaijan and Armenia, and parts of Russia, Turkey and Iran, has three main urban centres - Yerevan, Tbilisi and Baku. Rural population is primarily distributed on the plains and coasts.</description>
<pubDate>Mon, 04 Feb 2008 13:15:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/demography-of-the-caucausus-ecoregion-rural-and-urban-population_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>188</mapsgrida:thumbnailHeight>
<g:author>Manana Kurtubadze</g:author>
<mapsgrida:descriptionnonhtml>The Caucasus ecoregion, which includes the countries of Georgia, Azerbaijan and Armenia, and parts of Russia, Turkey and Iran, has three main urban centres - Yerevan, Tbilisi and Baku. Rural population is primarily distributed on the plains and coasts.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/demography-of-the-caucausus-ecoregion-rural-and-urban-population.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A2AB27F1-B06D-9696-F0E9-11B3216D7E07</guid>
<g:label>caucaususecoregion</g:label>
<g:label>human development</g:label>
<g:label>rural</g:label>
<g:label>urban population</g:label>
<g:label>rural population</g:label>
<g:label>urban issues</g:label>
<g:label>rural issues</g:label>
<g:label>demography</g:label>
<dc:contributor>Manana Kurtubadze</dc:contributor>
<dc:coverage>caucaususecoregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Caucasus Atlas project, 2007 </dc:source>
<geo:lat>36.5</geo:lat>
<geo:long>44.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 38</gml:lowerCorner>
<gml:upperCorner>45 51</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Dengue fever incidence; Trinidad and Tobago</title>
<link>http://maps.grida.no/go/graphic/dengue_fever_incidence_trinidad_and_tobago</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Shows the increase in dengue fever as temperature rises in correlation with El Niño in Trinidad and Tobago.
There is neither good prophylactic nor cure for dengue fever, a disease spread by Aedes aegypti mosquitoes. There are four different strains of the disease.
Infection by one of the strains does not provide immunity against the other strains. The symptoms range from a non-specific viral syndrome to fatal hemorrhagic disease. Increasing temperatures promote the spread of this disease.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/dengue_fever_incidence_trinidad_and_tobago_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>164</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Shows the increase in dengue fever as temperature rises in correlation with El Niño in Trinidad and Tobago.
There is neither good prophylactic nor cure for dengue fever, a disease spread by Aedes aegypti mosquitoes. There are four different strains of the disease.
Infection by one of the strains does not provide immunity against the other strains. The symptoms range from a non-specific viral syndrome to fatal hemorrhagic disease. Increasing temperatures promote the spread of this disease.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/dengue_fever_incidence_trinidad_and_tobago.jpg</g:image_link>
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<g:label>TT</g:label>
<g:label>dengue fever</g:label>
<g:label>temperature</g:label>
<g:label>El Niño</g:label>
<g:label>disease</g:label>
<g:label>epidemiology</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>TT</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Amarakoon et al. 2003</dc:source>
<geo:lat>10.5</geo:lat>
<geo:long>-60.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>10 -61</gml:lowerCorner>
<gml:upperCorner>11 -60</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Denmark emissions of greenhouse gases (CO2, CH4, N2O) 1990 and 2010 projections</title>
<link>http://maps.grida.no/go/graphic/denmark_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics.</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/denmark_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>197</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/denmark_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/4F01907C-E0A4-473A-8E13-DAB440F51E8C</guid>
<g:label>DK</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>methane</g:label>
<g:label>Denmark</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>DK</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>55.5</geo:lat>
<geo:long>11.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 8</gml:lowerCorner>
<gml:upperCorner>57 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Denmark, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/denmark_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Denmark. Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop6_total_greenhouse_gas_emissions_denmark_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Denmark. Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop6_total_greenhouse_gas_emissions_denmark.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/444CABD7-DC6F-4C95-976A-C34529C3E766</guid>
<g:label>DK</g:label>
<g:label>cop7</g:label>
<g:label>Denmark</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<g:label></g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>DK</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Actual emissions UNFCCC/SB1/2000/11 table B.1
Projected emissions UNFCCC/1998/Add.2 table C.6
</dc:source>
<geo:lat>55.5</geo:lat>
<geo:long>11.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 8</gml:lowerCorner>
<gml:upperCorner>57 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Dependency ratio in renewable water</title>
<link>http://maps.grida.no/go/graphic/dependency-ratio-in-renewable-water</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, February 2006</mapsgrida:designer>
<description>The dependency ratio is a good indicator of where tension and conflict over water-sharing and use can occur. The map clearly depicts such areas including central Asia, the Middle East (especially Syria and Iraq), India and Pakistan, and surprisingly, low land countries such as the Netherlands.</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/dependency-ratio-in-renewable-water_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>132</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, February 2006</g:author>
<mapsgrida:descriptionnonhtml>The dependency ratio is a good indicator of where tension and conflict over water-sharing and use can occur. The map clearly depicts such areas including central Asia, the Middle East (especially Syria and Iraq), India and Pakistan, and surprisingly, low land countries such as the Netherlands.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/dependency-ratio-in-renewable-water_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/61CEC338-150D-5A01-049D-170E44D12394</guid>
<g:label>global</g:label>
<g:label>vital</g:label>
<g:label>water</g:label>
<g:label>dependancy</g:label>
<g:label>ratio</g:label>
<g:label>renewable</g:label>
<g:label>water</g:label>
<g:label>tension</g:label>
<g:label>conflict</g:label>
<g:label>water-sharing</g:label>
<dc:contributor>Philippe Rekacewicz, February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO, Aquastat 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Depht-corrected density of Labrador Sea water (northern North Atlantic) at 200-800 m depth</title>
<link>http://maps.grida.no/go/graphic/depht-corrected-density-of-labrador-sea-water-northern-north-atlantic-at-200-800-m-depth</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The global ocean circulation system will change under the strong influence of arctic warming.</description>
<pubDate>Tue, 27 Oct 2009 18:35:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/depht-corrected-density-of-labrador-sea-water-northern-north-atlantic-at-200-800-m-depth_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>189</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The global ocean circulation system will change under the strong influence of arctic warming.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/depht-corrected-density-of-labrador-sea-water-northern-north-atlantic-at-200-800-m-depth_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/17380F01-9329-1354-1B3C-FF064772A9A8</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Yashayaev, I., 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Des responsabilités différentes </title>
<link>http://maps.grida.no/go/graphic/des-responsabilit-s-diff-rentes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Production de CFC déclarée</description>
<pubDate>Wed, 26 May 2010 20:08:49 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/des-responsabilit-s-diff-rentes_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>105</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Production de CFC déclarée</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/des-responsabilit-s-diff-rentes_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/158E7881-E283-1467-5027-138EFB76308C</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>resource</g:label>
<g:label>kit</g:label>
<g:label>journalist</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Programme des Nations Unies pour l’environnement, Secrétariat Ozone.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Desert and dry shrublands</title>
<link>http://maps.grida.no/go/graphic/desert-and-dry-shrublands</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The large surface area of drylands gives dryland carbon sequestration a global significance,
despite their relatively low carbon density. The fact that many dryland soils have
been degraded means that they are currently far from saturated with carbon and their
potential to sequester carbon can be high.</description>
<pubDate>Fri, 05 Jun 2009 00:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/desert-and-dry-shrublands_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>112</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The large surface area of drylands gives dryland carbon sequestration a global significance,
despite their relatively low carbon density. The fact that many dryland soils have
been degraded means that they are currently far from saturated with carbon and their
potential to sequester carbon can be high.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/desert-and-dry-shrublands_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/DA58C5CA-16F8-1157-1474-7382EB3F74CA</guid>
<g:label>global</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse</g:label>
<g:label>gases</g:label>
<g:label>global</g:label>
<g:label>climate</g:label>
<g:label>change</g:label>
<g:label>ecosystems</g:label>
<g:label>carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Adapted from Olson et al., 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Desertification</title>
<link>http://maps.grida.no/go/graphic/desertification</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay and Matthias Beilstein, Zoï Environment Network</mapsgrida:designer>
<description>Environment and Security in the Mediterranean: Desertification</description>
<pubDate>Tue, 17 Nov 2009 18:17:28 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/desertification_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>136</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay and Matthias Beilstein, Zoï Environment Network</g:author>
<mapsgrida:descriptionnonhtml>Environment and Security in the Mediterranean: Desertification</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/desertification_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C59AB5D7-13BA-85DE-1004-15B749FC2768</guid>
<g:label>global</g:label>
<g:label>environment</g:label>
<g:label>degradation</g:label>
<g:label>human</g:label>
<g:label>security</g:label>
<g:label>Mediterranean</g:label>
<dc:contributor>Emmanuelle Bournay and Matthias Beilstein, Zoï Environment Network</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Natural Resources Conservation Service, Plan Bleu, Times Atlas of the World</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Desertification in the Caspian Sea region</title>
<link>http://maps.grida.no/go/graphic/desertification-in-the-caspian-sea-region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Contrasting rainfall trends have been observed in the north and south. Whereas rainfall over Russia has increased over the last century, already dry areas such as the coasts of Turkmenistan and Iran have become even drier. Dust storms pick up large amounts of salt and dust as they pass over the Kara-Kum desert and the Caspian Sea shore, depositing it in the Volga valley where it impairs the fertility of arable land.</description>
<pubDate>Mon, 17 Mar 2008 10:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/desertification-in-the-caspian-sea-region_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>165</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Contrasting rainfall trends have been observed in the north and south. Whereas rainfall over Russia has increased over the last century, already dry areas such as the coasts of Turkmenistan and Iran have become even drier. Dust storms pick up large amounts of salt and dust as they pass over the Kara-Kum desert and the Caspian Sea shore, depositing it in the Volga valley where it impairs the fertility of arable land.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/desertification-in-the-caspian-sea-region.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/772A58D7-565B-CA91-B6C6-76444F61EAD5</guid>
<g:label>caspianregion</g:label>
<g:label>rainfall</g:label>
<g:label>water</g:label>
<g:label>desertification</g:label>
<g:label>drought</g:label>
<g:label>climate change</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caspianregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Transboundary Diagnostic Analysis for the Caspian Sea, The Caspian Environment Programme, 2002</dc:source>
<geo:lat>42.5</geo:lat>
<geo:long>55</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>30 40</gml:lowerCorner>
<gml:upperCorner>55 70</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Deteriorated forest hotspots</title>
<link>http://maps.grida.no/go/graphic/deteriorated-forest-hotspots</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Despite showing signs of slowing at the global level, the present pace of deforestation continues to be a source of serious concern for Latin America and the Caribbean. While the region’s forests represent one of the most important potential sources for mitigating greenhouse gas emissions, it equally accounted for approximately 70% of the world’s decrease in forests between 2005 and 2010 (FAO 2010). The global forest resource assessment (FRA) conducted by the Food and Agriculture Organization of the United Nations (FAO) identifies Brazil as the country with the greatest net annual loss of forest area in the world, though this must be viewed as a historical process caused by multiple factors, both internal and external. Between 1990 and 2000, Brazil lost 2.8 million hectares per year (ha/year) of forests, while between 2000 and 2010 the loss was 2.6 million ha/year. The list of the ten countries with the highest net forest losses in the last decade includes the Plurinational State of Bolivia and the Bolivarian Republic of Venezuela, with a combined loss of 290,000 ha/year. These countries, along with Peru, Mexico, Colombia and Ecuador, constitute critical areas of deforestation in the region.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/deteriorated-forest-hotspots_thumbnail_006.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>191</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Despite showing signs of slowing at the global level, the present pace of deforestation continues to be a source of serious concern for Latin America and the Caribbean. While the region’s forests represent one of the most important potential sources for mitigating greenhouse gas emissions, it equally accounted for approximately 70% of the world’s decrease in forests between 2005 and 2010 (FAO 2010). The global forest resource assessment (FRA) conducted by the Food and Agriculture Organization of the United Nations (FAO) identifies Brazil as the country with the greatest net annual loss of forest area in the world, though this must be viewed as a historical process caused by multiple factors, both internal and external. Between 1990 and 2000, Brazil lost 2.8 million hectares per year (ha/year) of forests, while between 2000 and 2010 the loss was 2.6 million ha/year. The list of the ten countries with the highest net forest losses in the last decade includes the Plurinational State of Bolivia and the Bolivarian Republic of Venezuela, with a combined loss of 290,000 ha/year. These countries, along with Peru, Mexico, Colombia and Ecuador, constitute critical areas of deforestation in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/deteriorated-forest-hotspots_009.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F3D39E4A-5E49-A909-C065-1207C9C73A0A</guid>
<g:label>geolameric</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>F. Achard et al. 2005. Identification of deforestation hot
spot areas in the humid tropics, Research Report, Nº 4, UE,
1998; FAO, Global Forest Resources Assessment. </dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
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<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Developing countries with environmental strategies</title>
<link>http://maps.grida.no/go/graphic/developing-countries-with-environmental-strategies</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>While many countries have shown indifference to environmental commitments made at Rio, the summit significantly helped legitimise environmental issues in political agendas worldwide: over 50 countries currently have national constitutions recognizing the rights of citizens to a healthy environment and many have national legislation to protect the environment.	</description>
<pubDate>Sat, 09 Feb 2008 23:24:45 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/developing-countries-with-environmental-strategies_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>363</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>While many countries have shown indifference to environmental commitments made at Rio, the summit significantly helped legitimise environmental issues in political agendas worldwide: over 50 countries currently have national constitutions recognizing the rights of citizens to a healthy environment and many have national legislation to protect the environment.	</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/developing-countries-with-environmental-strategies.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/68CE5300-E6C8-130D-3533-147B2BAB5498</guid>
<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>poverty</g:label>
<g:label>agrrements</g:label>
<g:label>biodiversity</g:label>
<g:label>protection</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>A Better World for all 2000, IMF, OECD, UN and World Bank</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Developing countries: share of agricultural exports in the world market (Hong Kong scenario)</title>
<link>http://maps.grida.no/go/graphic/developing-countries-share-of-agricultural-exports-in-the-world-market-hong-kong-scenario</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Agricultural trade can offer opportunities for the poor, but there are major distributional impacts among countries and within countries that in many cases have not been favorable for small-scale farmers and rural livelihoods. The poorest developing countries are net losers under most trade liberalization scenarios.
99</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/developing-countries-share-of-agricultural-exports-in-the-world-market-hong-kong-scenario_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>138</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Agricultural trade can offer opportunities for the poor, but there are major distributional impacts among countries and within countries that in many cases have not been favorable for small-scale farmers and rural livelihoods. The poorest developing countries are net losers under most trade liberalization scenarios.
99</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/developing-countries-share-of-agricultural-exports-in-the-world-market-hong-kong-scenario_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D31DA22C-B487-DDA2-156C-F5BCEC99EBFA</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>export</g:label>
<g:label>economy</g:label>
<g:label>trade</g:label>
<g:label>hong kong scenario</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Polaski, 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Development in Central Asia</title>
<link>http://maps.grida.no/go/graphic/development-in-central-asia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The predictive models for population growth and Gross Domestic Product (GDP) of the Aral Sea region shows there maybe some stabilization between the two and possibly some positive implications for the region.</description>
<pubDate>Wed, 15 Feb 2006 18:47:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_development_in_central_asia.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>309</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The predictive models for population growth and Gross Domestic Product (GDP) of the Aral Sea region shows there maybe some stabilization between the two and possibly some positive implications for the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/development_in_central_asia.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/135F7B71-102D-C503-7C56-11B42D865785</guid>
<g:label>geocasia</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>human resources</g:label>
<g:label>development</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Human Development Report 2001, Making New Technologies Work for Human Development, UNDP, New York – Oxford, Oxford University Press, 2001; Regional report assessing the implementation of Agenda 21 in Central Asian countries, UNDP Aral Sea Basin Capacity Development Project for Central Asia, Tashkent, 2001</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Development in Central Asia [Russian]</title>
<link>http://maps.grida.no/go/graphic/development-in-central-asia-russian</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The predictive models for population growth and Gross Domestic Product (GDP) of the Aral Sea region shows there maybe some stabilization between the two and possibly some positive implications for the region. In Russian.</description>
<pubDate>Wed, 15 Feb 2006 20:05:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_development_in_central_asia_russian_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>308</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The predictive models for population growth and Gross Domestic Product (GDP) of the Aral Sea region shows there maybe some stabilization between the two and possibly some positive implications for the region. In Russian.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_development_in_central_asia_russian_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EA8A0EF3-734B-63BE-3A53-119E4A312976</guid>
<g:label>geocasia</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>human resources</g:label>
<g:label>development</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Human Development Report 2001, Making New Technologies Work for Human Development, UNDP, New York – Oxford, Oxford University Press, 2001; Regional report assessing the implementation of Agenda 21 in Central Asian countries, UNDP Aral Sea Basin Capacity Development Project for Central Asia, Tashkent, 2001</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Development of fossil fuel resources in the Arctic, 2005</title>
<link>http://maps.grida.no/go/graphic/development_of_fossil_fuel_resources_in_the_arctic_2005</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Barents Sea: The 2004 lifting of an embargo on offshore hydrocarbon exploration in the Norwegian Barents has renewed activity there. Regulation of exploration is animportant political issue. Debate in 2005 focused on environmental protection and establishing areas free of oil development. In Russia five companies were selected as finalists in the joint development of the Shtokman gas field, in the Barents Sea. This field is estimated to hold twice the known gas reserves of Canada.
Mackenzie Delta and Pipeline: In Canada debate continues about developing hydrocarbon reserves in the Mackenzie Delta and constructing a 1220-kilometre pipeline to link with existing pipelines supplying southern Canadaand the U.S. Primary issues include ensuring local economic benefits (especially to indigenous peoples), and cumulative environmental effects.
Alaska Beaufort Sea Coast: Since the start of the Prudhoe Bay Oil Field development in 1969, facilities and infrastructure have expanded to about 260 000 ha, producing a total of 15 million million barrels of oil and bringing economic development to the region. Studies show that caribou have shifted their calving grounds away from the oilfields. In 2005, after political dispute and intense lobbying, the US government withdrew its latest proposal to open the coastal plain of the Arctic National Wildlife Refuge to hydrocarbon exploration.</description>
<pubDate>Mon, 13 Feb 2006 15:35:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/development_of_fossil_fuel_resources_in_the_arctic_2005_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Barents Sea: The 2004 lifting of an embargo on offshore hydrocarbon exploration in the Norwegian Barents has renewed activity there. Regulation of exploration is animportant political issue. Debate in 2005 focused on environmental protection and establishing areas free of oil development. In Russia five companies were selected as finalists in the joint development of the Shtokman gas field, in the Barents Sea. This field is estimated to hold twice the known gas reserves of Canada.
Mackenzie Delta and Pipeline: In Canada debate continues about developing hydrocarbon reserves in the Mackenzie Delta and constructing a 1220-kilometre pipeline to link with existing pipelines supplying southern Canadaand the U.S. Primary issues include ensuring local economic benefits (especially to indigenous peoples), and cumulative environmental effects.
Alaska Beaufort Sea Coast: Since the start of the Prudhoe Bay Oil Field development in 1969, facilities and infrastructure have expanded to about 260 000 ha, producing a total of 15 million million barrels of oil and bringing economic development to the region. Studies show that caribou have shifted their calving grounds away from the oilfields. In 2005, after political dispute and intense lobbying, the US government withdrew its latest proposal to open the coastal plain of the Arctic National Wildlife Refuge to hydrocarbon exploration.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/development_of_fossil_fuel_resources_in_the_arctic__006.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/118E5C77-CDF5-156F-5903-984DE96787BE</guid>
<g:label>geoarctic</g:label>
<g:label>oil</g:label>
<g:label>fossil fuel</g:label>
<g:label>development</g:label>
<g:label>infrastructure</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>See GEO Yearbook 2006 for full references.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Development of organic matter, phosphorus and nitrate in EU 15 rivers</title>
<link>http://maps.grida.no/go/graphic/development_of_organic_matter_phosphorus_and_nitrate_in_eu_15_rivers</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows the development of organic matter, phosphorus and nitrate in EU 15 rivers. Water resources in Europe have been profoundly influenced over the past century by human activities, including the construction of dams and canals, large irrigation and drainage systems, changes of land cover in most watersheds, high inputs of chemicals from industry and agriculture into surface and groundwater, and depletion of aquifers. Some of the most important freshwater pollutants are nitrate, phosphorus and organic matter, together with various pesticides and heavy metals. The graph shows a dramatic decrease of phosphorus and organic matter from 1980 to 1995, however the amount of nitrate has greatly increased. </description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivewat03_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>232</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows the development of organic matter, phosphorus and nitrate in EU 15 rivers. Water resources in Europe have been profoundly influenced over the past century by human activities, including the construction of dams and canals, large irrigation and drainage systems, changes of land cover in most watersheds, high inputs of chemicals from industry and agriculture into surface and groundwater, and depletion of aquifers. Some of the most important freshwater pollutants are nitrate, phosphorus and organic matter, together with various pesticides and heavy metals. The graph shows a dramatic decrease of phosphorus and organic matter from 1980 to 1995, however the amount of nitrate has greatly increased. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivewat03_l.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B72A7814-8BB2-4754-867A-E7B7067A5623</guid>
<g:label>geoweurope</g:label>
<g:label>Freshwater</g:label>
<g:label>nitrate</g:label>
<g:label>phosphorus</g:label>
<g:label>organic matter</g:label>
<g:label>environment</g:label>
<g:label>pollution</g:label>
<g:label>agriculture</g:label>
<g:label>fertilizers</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoweurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Environment in the European Union 1995, fig. 4.7.3</dc:source>
<geo:lat>59.5</geo:lat>
<geo:long>-3.5</geo:long>
<georss:where>
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<gml:lowerCorner>34 -27</gml:lowerCorner>
<gml:upperCorner>85 20</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Dietary change in developing countries, 1964-2030</title>
<link>http://maps.grida.no/go/graphic/dietary-change-in-developing-countries-1964-2030</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>As nearly half of the world’s cereal production is used to produce
animal feed, the dietary proportion of meat has a major influence on
global food demand (Keyzer et al., 2005). With meat consumption
projected to increase from 37.4 kg/person/year in 2000 to over 52
kg/person/year by 2050 (FAO, 2006), cereal requirements for more
intensive meat production may increase substantially to more than
50% of total cereal production.</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/dietary-change-in-developing-countries-1964-2030_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>As nearly half of the world’s cereal production is used to produce
animal feed, the dietary proportion of meat has a major influence on
global food demand (Keyzer et al., 2005). With meat consumption
projected to increase from 37.4 kg/person/year in 2000 to over 52
kg/person/year by 2050 (FAO, 2006), cereal requirements for more
intensive meat production may increase substantially to more than
50% of total cereal production.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/dietary-change-in-developing-countries-1964-_031.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/63B6D555-B0A8-AB12-8B5C-9C886EC22183</guid>
<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agricultural Organization of the United Nations (FAO). 2003. World agriculture: towards 2015/2030 Summary report. Rome, FAO and London, Earthscan.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Different approaches and overlapping definitions to waste</title>
<link>http://maps.grida.no/go/graphic/different-approaches-and-overlapping-definitions-to-waste</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Waste is generated in all sorts of ways. Its composition and volume largely depend on consumption patterns and the industrial and economic structures in place. Air quality, water and soil contamination, space consumption and odors all affect our quality of life. Waste is a complex, subjective and sometimes controversial issue. There are many ways to define, describe and count it depending on how you look at it. Citizens, technicians, businessmen, politicians, activists; all of them use a different approach, and this explains why it is often a challenge to gather comparable data. From one country to the next, statistical definitions vary a lot. It is notably difficult, for example, to compare waste in rich and poor countries. The topic is also sometimes political, especially when it comes to the trade and disposal of hazardous and nuclear wastes. All waste data should therefore be handled with care.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/different-approaches-and-overlapping-definitions-to-waste_thumbnail.gif</photo:thumbnail>
<mapsgrida:thumbnailWidth>129</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Waste is generated in all sorts of ways. Its composition and volume largely depend on consumption patterns and the industrial and economic structures in place. Air quality, water and soil contamination, space consumption and odors all affect our quality of life. Waste is a complex, subjective and sometimes controversial issue. There are many ways to define, describe and count it depending on how you look at it. Citizens, technicians, businessmen, politicians, activists; all of them use a different approach, and this explains why it is often a challenge to gather comparable data. From one country to the next, statistical definitions vary a lot. It is notably difficult, for example, to compare waste in rich and poor countries. The topic is also sometimes political, especially when it comes to the trade and disposal of hazardous and nuclear wastes. All waste data should therefore be handled with care.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/different-approaches-and-overlapping-definitions-to-waste.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/DC06ACF9-A6B7-5B7C-908D-13D24F46B07A</guid>
<g:label>global</g:label>
<g:label>waste</g:label>
<g:label>consumption</g:label>
<g:label>recycling</g:label>
<g:label>toxic waste</g:label>
<g:label>hazardous waste</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Division of Environmental Conventions (DEC) of UNEP, The
Basel Convention, GRID-Arendal and DEWA-Europe.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Different sources of danger and their impacts to the environment</title>
<link>http://maps.grida.no/go/graphic/different_sources_of_danger_and_their_impacts_to_the_environment</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Contaminated groundwater can adversely affect animals, plants and humans if it is removed from the ground by manmade or natural processes. Depending on the geology of the area, groundwater may rise to the surface through springs or seeps, fl ow laterally into nearby rivers, streams, or ponds, or sink deeper into the earth. In many parts of the world, groundwater is pumped out of the ground to be used for drinking, bathing, other household uses, agriculture, and industry.</description>
<pubDate>Tue, 07 Feb 2006 17:55:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/different_sources_of_danger_and_their_impacts_to_the_environment_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>84</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Contaminated groundwater can adversely affect animals, plants and humans if it is removed from the ground by manmade or natural processes. Depending on the geology of the area, groundwater may rise to the surface through springs or seeps, fl ow laterally into nearby rivers, streams, or ponds, or sink deeper into the earth. In many parts of the world, groundwater is pumped out of the ground to be used for drinking, bathing, other household uses, agriculture, and industry.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/different_sources_of_danger_and_their_impacts_to_the_environment_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A902B65C-69C9-E9FB-4F32-805B20F4FD49</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>contaminants</g:label>
<g:label>water</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Geological Survey of Canada, the Geological Society</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Dirty coal is here to stay</title>
<link>http://maps.grida.no/go/graphic/dirty-coal-is-here-to-stay</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Coal producers already taking advantage of the oil shortage and might even more in the future. Visualizing main production basins and major consumers.
</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/dirty-coal-is-here-to-stay_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>154</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Coal producers already taking advantage of the oil shortage and might even more in the future. Visualizing main production basins and major consumers.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/dirty-coal-is-here-to-stay_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/994D2843-12A6-F862-D01F-8CEA87ABA3D3</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Dirty coal is here to stay</title>
<link>http://maps.grida.no/go/graphic/dirty-coal-is-here-to-stay1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Coal producers are already taking advantage of the oil shortage and might even more in the future.
In 2004 43 % of the electricity produced in the world came from coal.</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/dirty-coal-is-here-to-stay_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>144</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Coal producers are already taking advantage of the oil shortage and might even more in the future.
In 2004 43 % of the electricity produced in the world came from coal.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/dirty-coal-is-here-to-stay_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/148CCD20-1484-13CF-B182-114C2C6E0C3C</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>BP Statistical Review of World Energy 2007; US Department of Energy Information Administration (EIA), International Energy Annual 2004, 2006; EIA, System for the Analysis of Global Energy Markets, 2007; World Energy Council, Survey of Energy Resources 2004; Coaltrans World Coal Map 2005; International Energy Agency; OECD Glossary of Statistical Terms, 2008; Atlas Environnement du Monde Diplomatique 2007; Colin Campbell, Association for the study of peak oil and gas, 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Disappearing Arctic lakes - examples in Siberian lakes, 1973 to 1997</title>
<link>http://maps.grida.no/go/graphic/disappearing-arctic-lakes-examples-in-siberian-lakes-1973-to-1997</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>The Arctic contains a variety of types of lakes but overall, it is thermokarst lakes and ponds that are the most abundant and productive aquatic ecosystems in the Arctic. They are found extensively in the lowland regions of western and northern Alaska, Canada and Siberia. These (i.e., thaw) lakes are most commonly formed by the thaw of ice-rich permafrost, which leads to the collapse of ground levels and ponding of surface water in the depression. Continued thawing of the permafrost can lead to the drainage and eventual disappearance of these lakes, as can erosion and lake coalescence. These photos show that the total lake abundance and inundation area have declined since 1973 in the study area (Siberia), including permanent drainage and revegetation of former lakebeds (the arrow and oval show representative areas).
</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/disappearing-arctic-lakes-examples-in-siberian-lakes-1973-to-1997_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>179</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>The Arctic contains a variety of types of lakes but overall, it is thermokarst lakes and ponds that are the most abundant and productive aquatic ecosystems in the Arctic. They are found extensively in the lowland regions of western and northern Alaska, Canada and Siberia. These (i.e., thaw) lakes are most commonly formed by the thaw of ice-rich permafrost, which leads to the collapse of ground levels and ponding of surface water in the depression. Continued thawing of the permafrost can lead to the drainage and eventual disappearance of these lakes, as can erosion and lake coalescence. These photos show that the total lake abundance and inundation area have declined since 1973 in the study area (Siberia), including permanent drainage and revegetation of former lakebeds (the arrow and oval show representative areas).
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/disappearing-arctic-lakes-examples-in-siberian-lakes-1973-to-1997.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EA9DCC0B-C7A2-6B63-0EFA-17C5553C4064</guid>
<g:label>russiaarctice</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>permafrost</g:label>
<g:label>climate change</g:label>
<g:label>lakes</g:label>
<g:label>freshwater issues</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>russiaarctice</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Smith, L.C., Sheng, Y., MacDonald, G.M. &amp; Hinzman, L.D. 2005. Disappearing Arctic Lakes. Science. 308:1429.</dc:source>
<geo:lat>66.5</geo:lat>
<geo:long>122.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>50 65</gml:lowerCorner>
<gml:upperCorner>83 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Disappearing forests</title>
<link>http://maps.grida.no/go/graphic/disappearing-forests</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>From 1970 to 1990 there was significant deforestation of both primary and secondary forests in Thailand: during this thirty year period, the area covered by primary and secondary forest declined by more than half.</description>
<pubDate>Sat, 09 Feb 2008 23:38:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/disappearing-forests_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>154</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>From 1970 to 1990 there was significant deforestation of both primary and secondary forests in Thailand: during this thirty year period, the area covered by primary and secondary forest declined by more than half.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/disappearing-forests_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CE8F3307-F81C-140A-2F52-CE3F20EF6380</guid>
<g:label>geoseasia</g:label>
<g:label>Environment</g:label>
<g:label>poverty</g:label>
<g:label>forest</g:label>
<g:label>forestry</g:label>
<g:label>Mekong</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoseasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Adapted from Géographie universelle, Asie du Sud-Est, Hachette, 1995</dc:source>
<geo:lat>19</geo:lat>
<geo:long>114</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-10 75</gml:lowerCorner>
<gml:upperCorner>48 153</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Disappearing lakes - Old Crow Basin, Canada (1951-2001)</title>
<link>http://maps.grida.no/go/graphic/disappearing-lakes-old-crow-basin-canada-1951-2001</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>The Arctic contains a variety of types of lakes but overall, it is thermokarst lakes and ponds that are the most abundant and productive aquatic ecosystems in the Arctic. They are found extensively in the lowland regions of western and northern Alaska, Canada and Siberia. These (i.e., thaw) lakes are most commonly formed by the thaw of ice-rich permafrost, which leads to the collapse of ground levels and ponding of surface water in the depression. Continued thawing of the permafrost can lead to the drainage and eventual disappearance of these lakes, as can erosion and lake coalescence. This figure presents the trends in the Old Crow Flats Basin of Northern Canada.
</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/disappearing-lakes-old-crow-basin-canada-1951-2001_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>217</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>The Arctic contains a variety of types of lakes but overall, it is thermokarst lakes and ponds that are the most abundant and productive aquatic ecosystems in the Arctic. They are found extensively in the lowland regions of western and northern Alaska, Canada and Siberia. These (i.e., thaw) lakes are most commonly formed by the thaw of ice-rich permafrost, which leads to the collapse of ground levels and ponding of surface water in the depression. Continued thawing of the permafrost can lead to the drainage and eventual disappearance of these lakes, as can erosion and lake coalescence. This figure presents the trends in the Old Crow Flats Basin of Northern Canada.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/disappearing-lakes-old-crow-basin-canada-1951-2001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14D81D05-15AC-C7EC-79AE-EFA189C97035</guid>
<g:label>canadaarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>permafrost</g:label>
<g:label>climate change</g:label>
<g:label>lakes</g:label>
<g:label>freshwater issues</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>canadaarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Labrecque, S., Lacelle, D., Duguay, C., Lauriol, B. &amp; Hawkings, J. 2009. Contemporary (1951) Evolution of Lakes in the Old Crow Basin, Northern Yukon, Canada: Remote Sensing, Numerical Modelling, and Stable Isotope Analysis. Arctic. 62:225-238.
</dc:source>
<geo:lat>69</geo:lat>
<geo:long>-100</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -140</gml:lowerCorner>
<gml:upperCorner>83 -60</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Disaster preparedness and well-being</title>
<link>http://maps.grida.no/go/graphic/disaster-preparedness-and-well-being</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 16:41:25 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/disaster-preparedness-and-well-being_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>118</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/disaster-preparedness-and-well-being.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CB82CF09-91EE-1338-5503-1390A0452080</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Discharge of pollutants in the Caspian Sea - mercury and cadmium</title>
<link>http://maps.grida.no/go/graphic/discharge-of-pollutants-in-the-caspian-sea-mercury-and-cadmium</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Mercury and Cadmium are classified as toxic metals, and are persistant pollutants in the environment, that stays in the system and is accumulated through the food chains. The main release of these pollutants are on the west coast of the Caspian Sea, off the coast of Russia and Azerbaijan.</description>
<pubDate>Mon, 10 Mar 2008 18:29:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/discharge-of-pollutants-in-the-caspian-sea-mercury-and-cadmium_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>252</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Mercury and Cadmium are classified as toxic metals, and are persistant pollutants in the environment, that stays in the system and is accumulated through the food chains. The main release of these pollutants are on the west coast of the Caspian Sea, off the coast of Russia and Azerbaijan.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/discharge-of-pollutants-in-the-caspian-sea-mercury-and-cadmium_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1570FC1F-615A-15BA-C225-138665B567BB</guid>
<g:label>caspiansea</g:label>
<g:label>mercury</g:label>
<g:label>cadmium</g:label>
<g:label>pollution</g:label>
<g:label>industry</g:label>
<g:label>heavy metals</g:label>
<g:label>toxic metals</g:label>
<g:label>pollutants</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caspiansea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Caspian Regional Thematic Centres (CRTC) for pollution control: coastal and off-shore industry, Azerbaijan, Febuary 2003.</dc:source>
<geo:lat>41.5</geo:lat>
<geo:long>51</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 47</gml:lowerCorner>
<gml:upperCorner>47 55</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Discharge of selected pollutants</title>
<link>http://maps.grida.no/go/graphic/discharge-of-selected-pollutants</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Nitrogen and phosphorous represents nutrients that can be seen as pollutants, as large concentations of those increase eutrophication. Nutrients are present in primarily commercial fertilisers and in sewage. A measure of eutrophication is biochemical oxygen demand (BOD), which measures the activity in the water column. High BOD means that there is low water quality (in terms of eutrophication) and high activity of bacteria in the water. This graphic also presents tonnes of oil released in the sea.</description>
<pubDate>Tue, 11 Mar 2008 18:13:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/discharge-of-selected-pollutants_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>442</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Nitrogen and phosphorous represents nutrients that can be seen as pollutants, as large concentations of those increase eutrophication. Nutrients are present in primarily commercial fertilisers and in sewage. A measure of eutrophication is biochemical oxygen demand (BOD), which measures the activity in the water column. High BOD means that there is low water quality (in terms of eutrophication) and high activity of bacteria in the water. This graphic also presents tonnes of oil released in the sea.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/discharge-of-selected-pollutants_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5AAFAAE8-13E6-15FC-33DE-FF58622E4E39</guid>
<g:label>caspianregion</g:label>
<g:label>pollutants</g:label>
<g:label>biological oxygen demand</g:label>
<g:label>oil</g:label>
<g:label>phosphate</g:label>
<g:label>nitrogen</g:label>
<g:label>fertilisers</g:label>
<g:label>nutrients</g:label>
<g:label>eutrophication</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caspianregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Caspian Regional Thematic Centres (CRTC) for pollution control: coastal and off-shore industry, Azerbaijan, Febuary 2003.</dc:source>
<geo:lat>42.5</geo:lat>
<geo:long>55</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>30 40</gml:lowerCorner>
<gml:upperCorner>55 70</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Displaced persons for three Balkan countries, 1994-2004</title>
<link>http://maps.grida.no/go/graphic/displaced-persons-for-three-balkan-countries-1994-2004</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</mapsgrida:designer>
<description>The wars gave rise to significant movements of population, some temporary, others permanent. It has proved difficult for refugees and displaced persons to return to their former homes. In Bosnia and Herzegovina, the process is often illusory. Returnees hurry to sell recovered property, particularly when it is located in areas in which the ethnic community to which they belong is now in the minority.</description>
<pubDate>Mon, 11 Feb 2008 17:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/displaced-persons-for-three-balkan-countries-1994-2004_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>500</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</g:author>
<mapsgrida:descriptionnonhtml>The wars gave rise to significant movements of population, some temporary, others permanent. It has proved difficult for refugees and displaced persons to return to their former homes. In Bosnia and Herzegovina, the process is often illusory. Returnees hurry to sell recovered property, particularly when it is located in areas in which the ethnic community to which they belong is now in the minority.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/displaced-persons-for-three-balkan-countries-1994-_005.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B1EA567B-9AFB-E888-8653-8F30C28ABD52</guid>
<g:label>balkan</g:label>
<g:label>UNHCR</g:label>
<g:label>High Commissioner for Refugees</g:label>
<g:label>demography</g:label>
<g:label>ethnic groups</g:label>
<g:label>conflict</g:label>
<g:label>refugees</g:label>
<dc:contributor>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</dc:contributor>
<dc:coverage>balkan</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNHCR, Geneva, 2005</dc:source>
<geo:lat>41</geo:lat>
<geo:long>19.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 13</gml:lowerCorner>
<gml:upperCorner>47 26</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Disposal Operations in 1997 in Million Metric Tonnes</title>
<link>http://maps.grida.no/go/graphic/disposal_operations_in_1997_in_million_metric_tonnes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>This figure shows the total amounts of hazardous waste disposed of through 16 different methods in 1997 by parties to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal. It shows the amounts based on export data and based on import data. List of D-codes (disposal methods) from the full report: 'D1, D2 and D4 (landfill, land treatment); D3 and D12 (underground storage); D5 (specially engineered landfills); D8 (biological treatment); D9 (physico-chemical treatment);
D10 (incineration); D13, D14 and D15 (blending, repackaging, interim storage)'. Other codes: D6: Release into a water body except seas/oceans; D7: Release into seas/oceans including sea­bed insertion; D11 Incineration at sea (from the Guide to the Basel Convention Control System for Hazardous Wastes at http://www.basel.int/pub/instruct.html#appendix2).</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_disposal_operations_in_1997_in_million_metric_tonnes_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>142</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This figure shows the total amounts of hazardous waste disposed of through 16 different methods in 1997 by parties to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal. It shows the amounts based on export data and based on import data. List of D-codes (disposal methods) from the full report: &apos;D1, D2 and D4 (landfill, land treatment); D3 and D12 (underground storage); D5 (specially engineered landfills); D8 (biological treatment); D9 (physico-chemical treatment);
D10 (incineration); D13, D14 and D15 (blending, repackaging, interim storage)&apos;. Other codes: D6: Release into a water body except seas/oceans; D7: Release into seas/oceans including sea­bed insertion; D11 Incineration at sea (from the Guide to the Basel Convention Control System for Hazardous Wastes at http://www.basel.int/pub/instruct.html#appendix2).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/disposal_operations_in_1997_in_million_metric_tonnes_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EE5E4726-6518-4DAA-911D-64B899670114</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>hazardous waste disposal</g:label>
<g:label>transport of hazardous waste</g:label>
<g:label>transboundary movement of hazardous waste</g:label>
<g:label>international movement of hazardous waste</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Secretariat of the Basel Convention (data as reported by the parties); http://www.basel.int, Email: sbc@unep.ch</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Dissolved phosphate levels: concentrations at river mouths</title>
<link>http://maps.grida.no/go/graphic/dissolved-phosphate-levels-concentrations-at-river-mouths</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Phillippe Rekacewicz, February 2006</mapsgrida:designer>
<description>Phosphorus is naturally present in water, primarily as inorganic and organic phosphates. Phosphates can enter aquatic environments in several ways: from the natural weathering of minerals in the drainage basin, from biological decomposition, or as runoff from human activity in urban and agricultural areas.
A comparison of the major watersheds between the two decades showed that northern Europe and North America had lower phosphate concentrations, while the Ganges and Brahmaputra watersheds in south-central Asia had higher concentrations. Nutrient control programmes in municipal and agricultural activities may be key factors in the observed reductions in phosphate concentrations.
Although there are not enough phosphorus data available at the global level to show significant trends, it would seem that some watersheds have improved, while others have declined over the last 20 years as shown in the latest map.</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/dissolved-phosphate-levels-concentrations-at-river-mouths_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>144</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Phillippe Rekacewicz, February 2006</g:author>
<mapsgrida:descriptionnonhtml>Phosphorus is naturally present in water, primarily as inorganic and organic phosphates. Phosphates can enter aquatic environments in several ways: from the natural weathering of minerals in the drainage basin, from biological decomposition, or as runoff from human activity in urban and agricultural areas.
A comparison of the major watersheds between the two decades showed that northern Europe and North America had lower phosphate concentrations, while the Ganges and Brahmaputra watersheds in south-central Asia had higher concentrations. Nutrient control programmes in municipal and agricultural activities may be key factors in the observed reductions in phosphate concentrations.
Although there are not enough phosphorus data available at the global level to show significant trends, it would seem that some watersheds have improved, while others have declined over the last 20 years as shown in the latest map.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/dissolved-phosphate-levels-concentrations-at-river-mouths_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/773B269C-1167-8E1B-3CCF-A30B2C3B8561</guid>
<g:label>global</g:label>
<g:label>Dissolved</g:label>
<g:label>phosphate</g:label>
<g:label>levels</g:label>
<g:label>concentrations</g:label>
<g:label>river</g:label>
<g:label>mouths</g:label>
<g:label>vital</g:label>
<g:label>water</g:label>
<dc:contributor>Phillippe Rekacewicz, February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>United Nations Environment Programme (UNEP) - Global Environment Monitoring System (GEMS), Freshwater Quality Programme, United Nations Environment Programme (UNEP), 2001; National Water Research Institute Environment Canada, Ontario, 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution and current trend of polar bear subpopulations throughout the circumpolar Arctic</title>
<link>http://maps.grida.no/go/graphic/distribution-and-current-trend-of-polar-bear-subpopulations-throughout-the-circumpolar-arctic</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>Polar bears occur in 19 relatively discrete subpopulations with an estimated worldwide abundance of 20,000– 25,000 animals. Our knowledge of the status and trend of each subpopulation varies due to availability, reliability, and age of data. Furthermore, for many subpopulations, there is limited or no data collected over a sufficient period of time to examine trends. Based on a 2009 review of the worldwide status of polar bears, one of 19 subpopulations appears to be increasing, three are stable, and eight are declining. For the remaining seven subpopulations, there is insufficient or no data to provide an assessment of status. In particular, there is a lack of data for the Russian subpopulations.
</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution-and-current-trend-of-polar-bear-subpopulations-throughout-the-circumpolar-arctic_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>Polar bears occur in 19 relatively discrete subpopulations with an estimated worldwide abundance of 20,000– 25,000 animals. Our knowledge of the status and trend of each subpopulation varies due to availability, reliability, and age of data. Furthermore, for many subpopulations, there is limited or no data collected over a sufficient period of time to examine trends. Based on a 2009 review of the worldwide status of polar bears, one of 19 subpopulations appears to be increasing, three are stable, and eight are declining. For the remaining seven subpopulations, there is insufficient or no data to provide an assessment of status. In particular, there is a lack of data for the Russian subpopulations.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution-and-current-trend-of-polar-bear-subpopulations-throughout-the-circumpolar-arctic.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1004015A-9688-14BE-5DA8-BE38A746EC14</guid>
<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>polar bears</g:label>
<g:label>sea ice</g:label>
<g:label>marine issues</g:label>
<g:label>food web</g:label>
<g:label>mammals</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IUCN/SSC Polar Bear Specialist Group. 2009. http://pbsg.npolar.no/en/meetings/press-releases/15-Copenhagen.html [Accessed 1 February 2010].
</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution and spawning areas of four fish species</title>
<link>http://maps.grida.no/go/graphic/distribution-and-spawning-areas-of-four-fish-species</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Distribution and spawning areas of arctic cod, polar cod, herring and capelin in the Barents Sea region. The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. </description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution-and-spawning-areas-of-four-fish-species_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>172</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Distribution and spawning areas of arctic cod, polar cod, herring and capelin in the Barents Sea region. The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution-and-spawning-areas-of-four-fish-species.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/0F61B0CD-D3B3-4721-B8B9-60E0191A625B</guid>
<g:label>barentssea</g:label>
<g:label>Arctic</g:label>
<g:label>Barents Region</g:label>
<g:label>Fisheries</g:label>
<g:label>Biodiversity Fishery</g:label>
<g:label>cod</g:label>
<g:label>herring</g:label>
<g:label>capelin</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentssea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Norwegian Polar Institute (NPI)</dc:source>
<geo:lat>75.5</geo:lat>
<geo:long>39.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>66 9</gml:lowerCorner>
<gml:upperCorner>85 70</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution and trends of wild Rangifer in the Arctic</title>
<link>http://maps.grida.no/go/graphic/distribution-and-trends-of-wild-rangifer-in-the-arctic</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>Distribution and observed trends of wild Rangifer populations throughout the circumpolar Arctic (from The Circum Arctic Rangifer Monitoring and Assessment Network, CARMA). Note: Wild boreal forest reindeer have not been mapped by CARMA and thus are not represented here. Currently wild reindeer and caribou have declined by about 33% since populations (herds) peaked in the 1990s and early 2000s (3.8 million compared to 5.6 million) which followed almost universal increases in the 1970s and 1980s. The declines are likely natural cycles, driven by continental and perhaps global atmospheric changes in combination with changing harvest practices and industrial developments. Regionally, there is a tendency for herds to show a measure of synchrony in their phases of increase and decrease. For example, currently all seven of the major migratory tundra herds in Canada’s Northwest Territories and Nunavut are declining from highs in the late 1980s/early 1990s, with four of these herds having decreased by 75% or more in 2009 than in the 1990s. In neighboring Alaska, the two larger herds are declining including the well-known Porcupine herd, while two smaller coastal herds are still increasing from the 1970s.
</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution-and-trends-of-wild-rangifer-in-the-arctic_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>Distribution and observed trends of wild Rangifer populations throughout the circumpolar Arctic (from The Circum Arctic Rangifer Monitoring and Assessment Network, CARMA). Note: Wild boreal forest reindeer have not been mapped by CARMA and thus are not represented here. Currently wild reindeer and caribou have declined by about 33% since populations (herds) peaked in the 1990s and early 2000s (3.8 million compared to 5.6 million) which followed almost universal increases in the 1970s and 1980s. The declines are likely natural cycles, driven by continental and perhaps global atmospheric changes in combination with changing harvest practices and industrial developments. Regionally, there is a tendency for herds to show a measure of synchrony in their phases of increase and decrease. For example, currently all seven of the major migratory tundra herds in Canada’s Northwest Territories and Nunavut are declining from highs in the late 1980s/early 1990s, with four of these herds having decreased by 75% or more in 2009 than in the 1990s. In neighboring Alaska, the two larger herds are declining including the well-known Porcupine herd, while two smaller coastal herds are still increasing from the 1970s.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution-and-trends-of-wild-rangifer-in-the-arctic.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A36680C2-1348-A684-CEF9-12B62F9D4790</guid>
<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>reindeer</g:label>
<g:label>herds</g:label>
<g:label>population trends</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>CARMA (The CircumArctic Rangifter Monitoring &amp; Assessment Network). 2009. http://www.carmanetwork.com/display/public/home [Accessed 5 January 2010].
</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution of benefits under different land use scenarios in the Leuser Ecosystem</title>
<link>http://maps.grida.no/go/graphic/distribution-of-benefits-under-different-land-use-scenarios-in-the-leuser-ecosystem</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Net present value (NPV) is in millions of USD over a 30-year period (2000-2030) at a 4% discount rate. The NPV for local communities under a deforestation scenario would be 3,132 million USD and under a conservation scenario 5,341 million USD.
The analysis shows that the local community would benefit most from a scenario under which the forest is conserved, negative effects on ecosystem services are avoided and payments for ecosystem services are realized. Industry would gain most under a business-as-usual scenario, while local and national government benefits do not differ much for the two scenarios.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution-of-benefits-under-different-land-use-scenarios-in-the-leuser-ecosystem_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>104</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Net present value (NPV) is in millions of USD over a 30-year period (2000-2030) at a 4% discount rate. The NPV for local communities under a deforestation scenario would be 3,132 million USD and under a conservation scenario 5,341 million USD.
The analysis shows that the local community would benefit most from a scenario under which the forest is conserved, negative effects on ecosystem services are avoided and payments for ecosystem services are realized. Industry would gain most under a business-as-usual scenario, while local and national government benefits do not differ much for the two scenarios.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution-of-benefits-under-different-land-use-scenarios-in-the-leuser-ecosystem_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E81F7C8C-B874-173D-DE24-B6C017CEA136</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>van Beukering, P.J.H., Cesar, H.S.J. and Janssen, M.A. 2003. Economic valuation of the Leuser National Park on Sumatra, Indonesia. Ecol Econ 44: 43-62.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution of causes of death among children under five years and within neonatal period</title>
<link>http://maps.grida.no/go/graphic/distribution-of-causes-of-death-among-children-under-five-years-and-within-neonatal-period</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Distribution of causes of death among children un- der five years and within the neonatal period, 2004 (Figure from WHO, 2008).</description>
<pubDate>Mon, 22 Mar 2010 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution-of-causes-of-death-among-children-under-five-years-and-within-neonatal-period_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>272</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Distribution of causes of death among children un- der five years and within the neonatal period, 2004 (Figure from WHO, 2008).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution-of-causes-of-death-among-children-under-five-years-and-within-neonatal-period_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1113A58C-15CF-1465-DA3D-9B5AAA055ADF</guid>
<g:label>global</g:label>
<g:label>sick</g:label>
<g:label>water</g:label>
<g:label>wastewater</g:label>
<g:label>sustainable</g:label>
<g:label>development</g:label>
<g:label>global</g:label>
<g:label>threat</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WHO, 2008.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution of coldwater and tropical coral reefs</title>
<link>http://maps.grida.no/go/graphic/distribution-of-coldwater-and-tropical-coral-reefs</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Coral reefs are marine ridges or mounds, which have formed over millennia as a result of the deposition of calcium carbonate by living organisms, predominantly corals, but also a rich diversity of other organisms such as coralline algae and shellfish. The coldwater reefs are highly susceptible to deep-sea trawling and ocean acidification from climate change, which has its greatest impacts at high latitudes, while tropical reefs will become severely damaged by rising sea temperatures. </description>
<pubDate>Fri, 22 Feb 2008 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution-of-coldwater-and-tropical-coral-reefs_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>97</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Coral reefs are marine ridges or mounds, which have formed over millennia as a result of the deposition of calcium carbonate by living organisms, predominantly corals, but also a rich diversity of other organisms such as coralline algae and shellfish. The coldwater reefs are highly susceptible to deep-sea trawling and ocean acidification from climate change, which has its greatest impacts at high latitudes, while tropical reefs will become severely damaged by rising sea temperatures. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution-of-coldwater-and-tropical-coral-reefs_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1153FABB-EA61-B1F9-0BDD-164B980D9417</guid>
<g:label>global</g:label>
<g:label>marine issues</g:label>
<g:label>oceans</g:label>
<g:label>sea</g:label>
<g:label>seas</g:label>
<g:label>ocean</g:label>
<g:label>world ocean</g:label>
<g:label>coral reefs</g:label>
<g:label>tropical coral reefs</g:label>
<g:label>coldwater coral</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP World Conservation Monitoring Centre. 2005. Global Cold-Water Coral Distribution (points). Cambridge, UK: UNEP-WCMC
UNEP World Conservation Monitoring Centre. 2005. coral1km_v7_2003. Cambridge, UK: UNEP-WCMC
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution of common eider, breeding and wintering ranges in the Arctic</title>
<link>http://maps.grida.no/go/graphic/distribution-of-common-eider-breeding-and-wintering-ranges-in-the-arctic</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, &lt;a href=&apos;http://nordpil.com&apos;&gt;Nordpil&lt;/a&gt;</mapsgrida:designer>
<description>The common eider, Somateria mollissima, has a circumpolar distribution breeding mainly on small islands in Arctic and boreal marine areas in Alaska (Bering Sea region), Canada, Greenland, Iceland, western Europe, and the Barents Sea region. In Russia, there is a gap in distribution along the mainland coast from the Yugorski Peninsula (Kara Sea) to Chaunskaya Bay in east Siberia (Figure 5.1). Important wintering areas include the Gulf of Alaska/Bering Sea/Aleutian region, southeast Canada, southwest Greenland, Iceland, Western Europe, along the Russian coast of Barents Sea, and in the White Sea. Six or seven subspecies are recognized, of which four occur in North America. This map presents breeding and wintering range of common eiders in the circumpolar region (not all southern breeding areas included).</description>
<pubDate>Thu, 27 May 2010 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution-of-common-eider-breeding-and-wintering-ranges-in-the-arctic_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</g:author>
<mapsgrida:descriptionnonhtml>The common eider, Somateria mollissima, has a circumpolar distribution breeding mainly on small islands in Arctic and boreal marine areas in Alaska (Bering Sea region), Canada, Greenland, Iceland, western Europe, and the Barents Sea region. In Russia, there is a gap in distribution along the mainland coast from the Yugorski Peninsula (Kara Sea) to Chaunskaya Bay in east Siberia (Figure 5.1). Important wintering areas include the Gulf of Alaska/Bering Sea/Aleutian region, southeast Canada, southwest Greenland, Iceland, Western Europe, along the Russian coast of Barents Sea, and in the White Sea. Six or seven subspecies are recognized, of which four occur in North America. This map presents breeding and wintering range of common eiders in the circumpolar region (not all southern breeding areas included).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution-of-common-eider-breeding-and-wintering-ranges-in-the-arctic.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/16D2419E-15E7-ECCB-06CE-152DE2EE0C6B</guid>
<g:label>geoarctic</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<g:label>species</g:label>
<g:label>ecology</g:label>
<g:label>distribution</g:label>
<g:label>migration</g:label>
<g:label>bird migration</g:label>
<g:label>breeding</g:label>
<g:label>seabirds</g:label>
<dc:contributor>Hugo Ahlenius, &lt;a href='http://nordpil.com'&gt;Nordpil&lt;/a&gt;</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Conservation of Arctic Flora and Fauna (CAFF) CBird group members, pers. comm. 2009. See http://web.arcticportal.org/en/caff/cbird [Accessed 15 March 2010].</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution of coral, mangrove and seagrass diversity</title>
<link>http://maps.grida.no/go/graphic/distribution-of-coral-mangrove-and-seagrass-diversity</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Similar to corals, the region of greatest mangrove diversity is in Southeast Asia, particularly around the Indonesian Archipelago (Burke et al., 2001). There are three distinct areas of seagrass diversity in the Pacific region: the Indo-Pacific (areas around Indonesia, Malaysia, and Papua New Guinea), the seas around Japan, and southwest Australia (Spalding et al., 2002). This graphic illustrates the distribution and biodiversity (low, medium and high diversity) of corals, mangroves and seagrass in the world's coastal and marine areas.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution-of-coral-mangrove-and-seagrass-diversity_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>218</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Similar to corals, the region of greatest mangrove diversity is in Southeast Asia, particularly around the Indonesian Archipelago (Burke et al., 2001). There are three distinct areas of seagrass diversity in the Pacific region: the Indo-Pacific (areas around Indonesia, Malaysia, and Papua New Guinea), the seas around Japan, and southwest Australia (Spalding et al., 2002). This graphic illustrates the distribution and biodiversity (low, medium and high diversity) of corals, mangroves and seagrass in the world&apos;s coastal and marine areas.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution-of-coral-mangrove-and-seagrass-diversity.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/30DC85BD-2475-4FF3-9345-3849745C4946</guid>
<g:label>global</g:label>
<g:label>species diversity</g:label>
<g:label>seagrass species diversity</g:label>
<g:label>species distribution</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP-WCMC (World Conservation Monitoring Centre) 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution of lodgepole pine in Sweden</title>
<link>http://maps.grida.no/go/graphic/distribution-of-lodgepole-pine-in-sweden</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Forest distribution in Scandinavia is affected by several different species. This is to demonstrate the concentration of lodgepole pine (pinus contorta) in Sweden. The lodgepole pine is a tall, slender tree with a narrow loose crown reaching up to 80 feet tall. </description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution-of-lodgepole-pine-in-sweden_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>98</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Forest distribution in Scandinavia is affected by several different species. This is to demonstrate the concentration of lodgepole pine (pinus contorta) in Sweden. The lodgepole pine is a tall, slender tree with a narrow loose crown reaching up to 80 feet tall. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution-of-lodgepole-pine-in-sweden_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12565B95-B93E-42B8-AAA9-D57F3DA778AD</guid>
<g:label>SE</g:label>
<g:label>sweden</g:label>
<g:label>forest</g:label>
<g:label>logging</g:label>
<g:label>silviculture</g:label>
<g:label>forestry</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>SE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Swedish environment protection agency.</dc:source>
<geo:lat>62</geo:lat>
<geo:long>17.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 11</gml:lowerCorner>
<gml:upperCorner>69 24</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution of polar bear populations in the Arctic</title>
<link>http://maps.grida.no/go/graphic/distribution-of-polar-bear-populations-in-the-arctic</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Worldwide there are thought to be 22,000-27,000 polar bears (Ursus maritimus)in 20 separate populations. They can be found in the United States, Canada, Russia, Greenland and on the Arctic islands of Norway.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution-of-polar-bear-populations-in-the-arctic_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>197</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Worldwide there are thought to be 22,000-27,000 polar bears (Ursus maritimus)in 20 separate populations. They can be found in the United States, Canada, Russia, Greenland and on the Arctic islands of Norway.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution-of-polar-bear-populations-in-the-arctic.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B75A8EE1-9F8A-48D9-89A0-35629DA204B3</guid>
<g:label>geoarctic</g:label>
<g:label>Arctic</g:label>
<g:label>Polar bear</g:label>
<g:label>Biodiversity</g:label>
<g:label>biology</g:label>
<g:label>Ursus maritimus</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>AMAP 1997, Norwegian Polar Institute (NPI) and IUCN Polar Bear Specialist Group 1997.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution of pollutant loads in the Black Sea </title>
<link>http://maps.grida.no/go/graphic/distribution_of_pollutant_loads_in_the_black_sea_giwa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:16 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution_of_pollutant_loads_in_the_black_sea_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>432</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution_of_pollutant_loads_in_the_black_sea_giwa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/4478B8A6-26FA-45C3-8910-3D88A293BE40</guid>
<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>pollution</g:label>
<g:label>nitrate</g:label>
<g:label>phosphate</g:label>
<g:label>biodiversity</g:label>
<g:label>mean nutrients</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Black Sea transboundary diagnostic analysis, Black sea Environmental Programmme (BSEP), United Nations Development Programme (UNDP), New York, 1997.</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>37 22</gml:lowerCorner>
<gml:upperCorner>50 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution of reindeer population in the Barents Region</title>
<link>http://maps.grida.no/go/graphic/distribution_of_reindeer_population_in_the_barents_region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The rendeer population of the Barents region is broken down into 5 distinct groups to show and their range. The 5 types are: Svalbard, wild, wild forest, domesticated and wild, and domesticated or semi-domesticated. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution_of_reindeer_population_in_the_barents_region_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>172</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The rendeer population of the Barents region is broken down into 5 distinct groups to show and their range. The 5 types are: Svalbard, wild, wild forest, domesticated and wild, and domesticated or semi-domesticated. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution_of_reindeer_population_in_the_barents_region_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E13ED5D9-41A1-4B66-83A6-C328EC1F2C10</guid>
<g:label>geoarctic</g:label>
<g:label>Arctic</g:label>
<g:label>Barents Region</g:label>
<g:label>Reindeer</g:label>
<g:label>Biodiversity</g:label>
<g:label>Natural areas</g:label>
<g:label>landscape</g:label>
<g:label>ecosystems</g:label>
<g:label>Rangifer tarandus</g:label>
<g:label>Norway</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Norwegian Polar Institure (NPI) and the Norwegian directorate for Nature Management (DN).</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Distribution of Saami dialects</title>
<link>http://maps.grida.no/go/graphic/distribution_of_saami_dialects</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Saami dialects distribution with data from snowchange project. Graphic prepared for a case study in the 2004 edition of Vital Arctic Graphics on reindeer hearding, Saami and climate change in the Barents Region.</description>
<pubDate>Thu, 23 Mar 2006 10:30:09 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/distribution_of_saami_dialects_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>225</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Saami dialects distribution with data from snowchange project. Graphic prepared for a case study in the 2004 edition of Vital Arctic Graphics on reindeer hearding, Saami and climate change in the Barents Region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/distribution_of_saami_dialects_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14FB070E-6E6B-13AF-CDC0-D7A16A35B411</guid>
<g:label>barentsregion</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentsregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Snowchange-Project </dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>39</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 5</gml:lowerCorner>
<gml:upperCorner>85 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Do you really save time?</title>
<link>http://maps.grida.no/go/graphic/do-you-really-save-time1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Train versus plane in a busy world</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/do-you-really-save-time_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>193</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Train versus plane in a busy world</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/do-you-really-save-time_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E5CD5ABB-E741-151D-AECD-ECB3AFF42399</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>nyctourist.com, eurostar.com; amtrak.com; myclimate.org; bahn.de; www.amadeus.net; japanrail.com; www.keikyu.co.jp; aeroportsdeparis.fr.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Do you really save time?</title>
<link>http://maps.grida.no/go/graphic/do-you-really-save-time</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Train versus plane in a busy world. Schedules provided for train and plane for the following routes: New York-Washington D.C., Tokyo-Osaka, Paris-London and Hamburg-Münich.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/do-you-really-save-time_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>206</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Train versus plane in a busy world. Schedules provided for train and plane for the following routes: New York-Washington D.C., Tokyo-Osaka, Paris-London and Hamburg-Münich.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/do-you-really-save-time_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1686796D-126E-FDF2-DA1E-60A8174282D4</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>nyctourist.com, eurostar.com; amtrak.com; myclimate.org; bahn.de; www.amadeus.net; japanrail.com; www.keikyu.co.jp; aeroportdeparis.fr.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Dobris+3: overall pan-european assessment</title>
<link>http://maps.grida.no/go/graphic/dobris_3_overall_pan_european_assessment</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows Dobris+3: overall pan-european assessment. It describes positive or negative developments within various environmental branches, such as climate change, biodiversity and urban environment, the occurence of environmental policies as well as the principal drivers of said environmental developments. </description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivenc04_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows Dobris+3: overall pan-european assessment. It describes positive or negative developments within various environmental branches, such as climate change, biodiversity and urban environment, the occurence of environmental policies as well as the principal drivers of said environmental developments. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivenc04_l.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9319699E-69B0-4247-B602-A98A7E017BEC</guid>
<g:label>geoeurope</g:label>
<g:label>trends</g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EEA 1998</dc:source>
<geo:lat>59</geo:lat>
<geo:long>4</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>33 -27</gml:lowerCorner>
<gml:upperCorner>85 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Domestic extraction used in EU-15 compared to imports of industrial minerals and ores</title>
<link>http://maps.grida.no/go/graphic/domestic-extraction-used-in-eu-15-compared-to-imports-of-industrial-minerals-and-ores</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 15:03:55 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/domestic-extraction-used-in-eu-15-compared-to-imports-of-industrial-minerals-and-ores_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>153</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/domestic-extraction-used-in-eu-15-compared-to-imports-of-industrial-minerals-and-ores_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5A87C851-6472-17AF-2449-E8DE76DEBEBF</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Dominating air currents</title>
<link>http://maps.grida.no/go/graphic/dominating_air_currents</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The pollution from industrialized nations are affecting the environment in the Arctic region. The main areas of indutrial activity in the northern hemisphere are spreading to specific areas in the Arctic though air currents. </description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/dominating_air_currents_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>169</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The pollution from industrialized nations are affecting the environment in the Arctic region. The main areas of indutrial activity in the northern hemisphere are spreading to specific areas in the Arctic though air currents. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/dominating_air_currents_001.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B902DF09-C422-4738-BF8C-A20930ECA2FD</guid>
<g:label>geoarctic</g:label>
<g:label>air currents</g:label>
<g:label>industry</g:label>
<g:label>pollution</g:label>
<g:label>arctic</g:label>
<g:label>barents</g:label>
<g:label>atmosphere</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>DPSIR framework for State of Environment Reporting</title>
<link>http://maps.grida.no/go/graphic/dpsir_framework_for_state_of_environment_reporting</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Delphine Digout, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The DPSIR framework (Driving Forces-Pressures-State-Impacts-Responses) is used to assess and manage environmental problems. Driving forces are the socio-economic and socio-cultural forces driving human activities, which increase or mitigate pressures on the environment. Pressures are the stresses that human activities place on the environment. State, or state of the environment, is the condition of the environment. Impacts are the effects of environmental degradation. Responses refers to the responses by society to the environmental situation. This graphic explains the DPSIR process.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/dpsir_framework_for_state_of_environment_reporting_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>159</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Delphine Digout, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The DPSIR framework (Driving Forces-Pressures-State-Impacts-Responses) is used to assess and manage environmental problems. Driving forces are the socio-economic and socio-cultural forces driving human activities, which increase or mitigate pressures on the environment. Pressures are the stresses that human activities place on the environment. State, or state of the environment, is the condition of the environment. Impacts are the effects of environmental degradation. Responses refers to the responses by society to the environmental situation. This graphic explains the DPSIR process.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/dpsir_framework_for_state_of_environment_reporting.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/379FC49A-0823-4D39-88F8-9F2153B91ED1</guid>
<g:label>global</g:label>
<g:label>decision-making framework</g:label>
<g:label>environmental pressure</g:label>
<g:label>environmental conditions</g:label>
<g:label>environmental methodology</g:label>
<dc:contributor>Delphine Digout, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Global International Waters Assessment (GIWA), 2001; European Environment Agency (EEA); Copenhagen.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Drainage in the Black Sea Area </title>
<link>http://maps.grida.no/go/graphic/drainage_in_the_black_sea_area</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:19 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/drainage_in_the_black_sea_area_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>169</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/drainage_in_the_black_sea_area.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F0585D27-5375-46D5-B406-684A25AD0360</guid>
<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>topography</g:label>
<g:label>drainage</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>37 22</gml:lowerCorner>
<gml:upperCorner>50 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Drivers of Forest Conversion</title>
<link>http://maps.grida.no/go/graphic/drivers-of-forest-conversion</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 14:45:04 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/drivers-of-forest-conversion_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/drivers-of-forest-conversion.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8FF58193-1288-1174-570F-B885637D6F63</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Drought in Central and Southwest Asia</title>
<link>http://maps.grida.no/go/graphic/drought-in-central-and-southwest-asia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Turkmenistan and Iran have become drier. Dust storms pick up large amounts of salt and dust as they pass over the Kara-Kum desert and the Caspian Seashore, depositing it in the Volga River valley where it impairs the fertility of arable land.</description>
<pubDate>Tue, 04 Mar 2008 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/drought-in-central-and-southwest-asia_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>335</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Turkmenistan and Iran have become drier. Dust storms pick up large amounts of salt and dust as they pass over the Kara-Kum desert and the Caspian Seashore, depositing it in the Volga River valley where it impairs the fertility of arable land.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/drought-in-central-and-southwest-asia_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12B9D17E-9930-1145-9ACF-CF9B6485C8A0</guid>
<g:label>geocasia</g:label>
<g:label>drought</g:label>
<g:label>rainfall</g:label>
<g:label>precipitation</g:label>
<g:label>natural disasters</g:label>
<g:label>climate</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>International Research Institute for Climate Prediction of the Columbia University 2001, FAO 2001.</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Droughts - risk and vulnerability (economic loss, as a proportion of GDP density)</title>
<link>http://maps.grida.no/go/graphic/droughts-risk-and-vulnerability-economic-loss-as-a-proportion-of-gdp-density</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Disasters and natural hazards represents one strong aspect of vulnerability for the exposed and poor of the World. With climate change, the frequency of certain natural hazards are expected to increase. This map presents an output from an analysis investigating hazard exposure and historical vulnerability for selected natural hazards, together with population distribution and economy. Specifically, this map shows where droughts represents a major threat to the economy and well-being, thus affecting the human vulnerability.</description>
<pubDate>Thu, 25 Oct 2007 16:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/droughts-risk-and-vulnerability-economic-loss-as-a-proportion-of-gdp-density.gif</photo:thumbnail>
<mapsgrida:thumbnailWidth>210</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>167</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Disasters and natural hazards represents one strong aspect of vulnerability for the exposed and poor of the World. With climate change, the frequency of certain natural hazards are expected to increase. This map presents an output from an analysis investigating hazard exposure and historical vulnerability for selected natural hazards, together with population distribution and economy. Specifically, this map shows where droughts represents a major threat to the economy and well-being, thus affecting the human vulnerability.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/droughts-risk-and-vulnerability-economic-loss-as-a-proportion-of-gdp-density.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/119D62CD-12D5-C040-07D1-B00750FF7FCA</guid>
<g:label>global</g:label>
<g:label>natural hazards</g:label>
<g:label>poverty</g:label>
<g:label>security</g:label>
<g:label>disasters</g:label>
<g:label>drought</g:label>
<g:label>drylands</g:label>
<g:label>drought</g:label>
<g:label>droughts</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Center for Hazards &amp; Risk Research. 2005. Natural Disaster Hotspots - A Global Risk Analysis: Global Multihazard Frequency and Distribution. http://www.ldeo.columbia.edu/chrr/research/hotspots/coredata.html (Accessed June 1, 2007)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Early warning systems</title>
<link>http://maps.grida.no/go/graphic/early_warning_systems</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Every year, disasters caused by weather, climate and water-related hazards impact on communities around the world, leading to loss of human life, destruction of social and economic infrastructure and degradation of already fragile ecosystems. Statistics from the Centre for Research on the Epidemiology of Disasters (CRED) at the university of Leuven, Belgium, reveal that from 1992-2001, about 90% of
natural disasters were meteorological or hydrological in origin; the resulting economic losses were estimated at $446bn, or about 65% of all damage caused by natural disasters.</description>
<pubDate>Mon, 06 Feb 2006 20:06:17 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/early_warning_systems_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>94</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Every year, disasters caused by weather, climate and water-related hazards impact on communities around the world, leading to loss of human life, destruction of social and economic infrastructure and degradation of already fragile ecosystems. Statistics from the Centre for Research on the Epidemiology of Disasters (CRED) at the university of Leuven, Belgium, reveal that from 1992-2001, about 90% of
natural disasters were meteorological or hydrological in origin; the resulting economic losses were estimated at $446bn, or about 65% of all damage caused by natural disasters.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_early_warning_systems.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C0B922FF-1544-F8AD-3BA7-146403072060</guid>
<g:label>global</g:label>
<g:label>natural disasters</g:label>
<g:label>meteorology</g:label>
<g:label>early warning systems</g:label>
<g:label>disasters</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WMO</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>East Siberian Arctic Shelf</title>
<link>http://maps.grida.no/go/graphic/east-siberian-arctic-shelf</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Laura Margueritte</mapsgrida:designer>
<description>The degradation of arctic sub-sea permafrost is already releasing methane from the massive, frozen, undersea carbon pool and more is expected with further warming.</description>
<pubDate>Wed, 28 Oct 2009 13:06:44 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/east-siberian-arctic-shelf_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>142</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Laura Margueritte</g:author>
<mapsgrida:descriptionnonhtml>The degradation of arctic sub-sea permafrost is already releasing methane from the massive, frozen, undersea carbon pool and more is expected with further warming.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/east-siberian-arctic-shelf_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B3440735-BCDC-D930-97D0-11888841D0F0</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Laura Margueritte</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Eastern Europe through history</title>
<link>http://maps.grida.no/go/graphic/eastern-europe-through-history</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The region’s borderline position has determined its many specific features. Neighbouring cultures deeply penetrated and influenced Eastern European societies, shaping contrasting developmental orientations. Eastern European lands changed hands many times in history and in some periods they were split between Western and Eastern powers. This is a glimpse of 4 periods between 1000 A.D. to 1938 A.D.</description>
<pubDate>Sat, 12 Jan 2008 17:01:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/eastern-europe-through-history_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>230</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The region’s borderline position has determined its many specific features. Neighbouring cultures deeply penetrated and influenced Eastern European societies, shaping contrasting developmental orientations. Eastern European lands changed hands many times in history and in some periods they were split between Western and Eastern powers. This is a glimpse of 4 periods between 1000 A.D. to 1938 A.D.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/eastern-europe-through-history_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E078093E-15BA-11C7-E7EA-151253828EAE</guid>
<g:label>geoeeurope</g:label>
<g:label>environment and security</g:label>
<g:label>conflict</g:label>
<g:label>history</g:label>
<g:label>politics</g:label>
<g:label>geography</g:label>
<dc:contributor>Viktor Novikov, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Snyder T. The Reconstruction of Nations. Poland, Ukraine, Lithuania, Belarus. 1569-1999. New Haven &amp; London 2003; Euratlas (www.euratlas.com).</dc:source>
<geo:lat>59.5</geo:lat>
<geo:long>28.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>38 22</gml:lowerCorner>
<gml:upperCorner>81 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ebola</title>
<link>http://maps.grida.no/go/graphic/ebola</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>A central African decennal curse, 1994-2003.</description>
<pubDate>Thu, 27 May 2010 19:05:49 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ebola_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>219</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>A central African decennal curse, 1994-2003.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ebola_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1032AE82-B0E8-1300-CA32-7E0B38E0D3A0</guid>
<g:label>global</g:label>
<g:label>gorilla</g:label>
<g:label>congo</g:label>
<g:label>threat</g:label>
<g:label>crime</g:label>
<g:label>conflict</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Lahm, S., A., Morbidity and Mortality of Wild Animals in Relation to Outbreaks of Ebola Haemorrhagic Fever in Gabon, 1994—2003, Elsevier, 2006; Bermejo, M., Ebola Outbreak Killed 5000 Gorillas, Science, 2006; Global Forest Watch.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ebola - A Central Africa decennal course, 1994-2003</title>
<link>http://maps.grida.no/go/graphic/ebola-a-central-africa-decennal-course-1994-2003</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Ebola epidemic outbreaks across the Congo Basin are a significant threat to gorillas, and also impact the few re- maining populations less exposed to poaching and habitat loss.</description>
<pubDate>Wed, 17 Mar 2010 18:11:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ebola-a-central-africa-decennal-course-1994-2003_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Ebola epidemic outbreaks across the Congo Basin are a significant threat to gorillas, and also impact the few re- maining populations less exposed to poaching and habitat loss.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ebola-a-central-africa-decennal-course-1994-_005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F3AE7058-1430-732B-F521-17A7FC276702</guid>
<g:label>global</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Lahm, S., A., Morbidity and Mortality of Wild Animals in Relation to Outbreaks of Ebola Haemorrhagic Fever in Gabon, 1994—2003, Elsevier, 2006; Bermejo, M., Ebola Outbreak Killed 5000 Gorillas, Science, 2006; Global Forest Watch.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Eco-design strategies</title>
<link>http://maps.grida.no/go/graphic/eco-design-strategies</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>You do always have the option of remembering how much energy went into building your house.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/eco-design-strategies_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>293</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>You do always have the option of remembering how much energy went into building your house.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/eco-design-strategies.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/168F4FD8-58EB-54E2-80A6-FA0F9544EF07</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IEA task 13 low energy buildings (1989-1993) cited in United Nations Environment Programme (UNEP), Buildings and Climate Change, Status, Challenges and Opportunities, 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ecological creditors and debtors</title>
<link>http://maps.grida.no/go/graphic/ecological-creditors-and-debtors</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 15:03:15 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ecological-creditors-and-debtors_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>90</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ecological-creditors-and-debtors_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/631CEBEB-1079-149B-B4B8-F08283FB2FB2</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WWF 2006a</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ecological Footprint and Biodiversity</title>
<link>http://maps.grida.no/go/graphic/ecological-footprint-and-biodiversity</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Tue, 06 Oct 2009 09:55:08 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ecological-footprint-and-biodiversity_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>175</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ecological-footprint-and-biodiversity_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/16FC5589-A23A-813E-9D4E-11931C09EA0A</guid>
<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>Poverty</g:label>
<g:label>Times</g:label>
<g:label>Green</g:label>
<g:label>Economy</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ecological zones</title>
<link>http://maps.grida.no/go/graphic/ecological-zones</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Sumatran orangutans occur in two main forest habitats, those on dryland mineral soils and those on wet coastal peat. The three main peat areas are Singkil, Kluet and Tripa on the west coast of Aceh province.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ecological-zones_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>251</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Sumatran orangutans occur in two main forest habitats, those on dryland mineral soils and those on wet coastal peat. The three main peat areas are Singkil, Kluet and Tripa on the west coast of Aceh province.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ecological-zones_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/654B6A50-92CD-7435-0112-10A23D1A2369</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Hillshade generated from SRTM 90m DEM available from the CGIAR website (http://srtm.csi.cgiar.org/).
Bathymetry from the ETOPO1 Global Relief Model downloaded from: http://www.ngdc.noaa.gov/mgg/global/global.html
Forest layer interpreted by PanEco/ YEL, 2010 from Landsat 5 TM, 2009 and Landsat ETM 7 filled, 2010.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Economic benefits under alternate management practices</title>
<link>http://maps.grida.no/go/graphic/economic-benefits-under-alternate-management-practices</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In each case, the net benefits from the more sustainably managed ecosystem are greater than those from the converted ecosystem, even though the private (market) benefits would be greater from the converted ecosystem.</description>
<pubDate>Sun, 27 Jan 2008 19:23:07 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/economic-benefits-under-alternate-management-practices_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>347</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In each case, the net benefits from the more sustainably managed ecosystem are greater than those from the converted ecosystem, even though the private (market) benefits would be greater from the converted ecosystem.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/economic-benefits-under-alternate-management-practices.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14963C23-7EDE-C830-269A-5D6D1082505D</guid>
<g:label>global</g:label>
<g:label>ecosystem</g:label>
<g:label>wetland</g:label>
<g:label>tropical forest</g:label>
<g:label>canada</g:label>
<g:label>cambodia</g:label>
<g:label>cameroon</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment </dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Economic impacts of Gorilla tourism in Uganda</title>
<link>http://maps.grida.no/go/graphic/economic-impacts-of-gorilla-tourism-in-uganda</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Gorilla tourism in Uganda is primarily taking place in the Mgabinga Gorilla National Park and Bwindi Impenetrable National Park, and represents one of the main destinations for wildlife tourism in the country. Estimations of the national and community level economic impacts in Uganda, based on a full capacity of 8760 tourists per year and expenditures of USD 874 were calculated to present the direct impacts, the indirect (secondary support activities) and induced (increased spending among local beneficiaries). Currently only small shares of the impacts are benefiting the communities at the sites.</description>
<pubDate>Sun, 05 Oct 2008 16:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/economic-impacts-of-gorilla-tourism-in-uganda_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>100</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>112</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Gorilla tourism in Uganda is primarily taking place in the Mgabinga Gorilla National Park and Bwindi Impenetrable National Park, and represents one of the main destinations for wildlife tourism in the country. Estimations of the national and community level economic impacts in Uganda, based on a full capacity of 8760 tourists per year and expenditures of USD 874 were calculated to present the direct impacts, the indirect (secondary support activities) and induced (increased spending among local beneficiaries). Currently only small shares of the impacts are benefiting the communities at the sites.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/economic-impacts-of-gorilla-tourism-in-uganda_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B9964862-F3B4-12B5-1DCB-C8A81F57BA3B</guid>
<g:label>UG</g:label>
<g:label>pro-poor growth</g:label>
<g:label>conservation</g:label>
<g:label>wildlife</g:label>
<g:label>biodiversity</g:label>
<g:label>gorilla</g:label>
<g:label>cbnrm</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>UG</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Moyini, Yakobo and Uwimbabazi, B. 2000. Analysis of the Economic Significance of Gorilla Tourism in Uganda. International Gorilla Conservation Programme (IGCP) http://www.mountaingorillas.org/files/ourwork/Economics%20of%20Gorilla%20Tourism%20in%20Uganda.pdf (accessed October 4, 2006)</dc:source>
<geo:lat>1.5</geo:lat>
<geo:long>32</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-1 29</gml:lowerCorner>
<gml:upperCorner>4 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Economic output and external debt in the Southern Caucasus</title>
<link>http://maps.grida.no/go/graphic/economic_output_and_external_debt_in_the_southern_caucasus</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</description>
<pubDate>Sun, 12 Mar 2006 09:25:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/economic_output_and_external_debt_in_the_southern_caucasus_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>149</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/economic_output_and_external_debt_in_the_southern_caucasus.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FF7BF09C-BCBE-4689-B725-42C580EA4AF7</guid>
<g:label>caucasus</g:label>
<g:label>security</g:label>
<g:label>conflict</g:label>
<g:label>nis</g:label>
<g:label>cee</g:label>
<g:label>caucasus</g:label>
<g:label>soviet</g:label>
<g:label>economy</g:label>
<g:label>debt</g:label>
<g:label>Gross National Income</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caucasus</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Economic Intelligence Unit (EIU), London
International Monetary Fund (IMF). Onlinde database, The World Bank, Washington DC.</dc:source>
<geo:lat>37</geo:lat>
<geo:long>45.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 39</gml:lowerCorner>
<gml:upperCorner>46 52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Economic output and external debt in the Southern Caucasus [Russian]</title>
<link>http://maps.grida.no/go/graphic/economic_output_and_external_debt_in_the_southern_caucasus_russian</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</description>
<pubDate>Sun, 12 Mar 2006 09:25:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/economic_output_and_external_debt_in_the_southern_caucasus_russian_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>149</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/economic_output_and_external_debt_in_the_southern_caucasus_russian.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7A4A7C03-85A0-4ACA-A90E-4CE4D7171FB1</guid>
<g:label>caucasus</g:label>
<g:label>security</g:label>
<g:label>conflict</g:label>
<g:label>nis</g:label>
<g:label>soviet</g:label>
<g:label>economy</g:label>
<g:label>debt</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caucasus</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Economic Intelligence Unit (EIU), London
International Monetary Fund (IMF). Onlinde database, The World Bank, Washington DC.</dc:source>
<geo:lat>37</geo:lat>
<geo:long>45.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 39</gml:lowerCorner>
<gml:upperCorner>46 52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Economic trends in the Balkans, GDP 1995-2005</title>
<link>http://maps.grida.no/go/graphic/economic-trends-in-the-balkans-gdp-1995-2005</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</mapsgrida:designer>
<description>All of the Balkans countries have shown an increase in the Gross Domestic Product from the period spanning 1995 - 2005. However Slovenia and Croatia have shown the most notable increases and Macedonia barely showing an increase.</description>
<pubDate>Fri, 15 Feb 2008 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/economic-trends-in-the-balkans-gdp-1995-2005_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>573</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</g:author>
<mapsgrida:descriptionnonhtml>All of the Balkans countries have shown an increase in the Gross Domestic Product from the period spanning 1995 - 2005. However Slovenia and Croatia have shown the most notable increases and Macedonia barely showing an increase.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/economic-trends-in-the-balkans-gdp-1995-_006.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D7514AAC-1636-15C3-C1EB-14735F9C8317</guid>
<g:label>balkan</g:label>
<g:label>Gross Domestic Product</g:label>
<g:label>GDP</g:label>
<g:label>economy</g:label>
<g:label>production</g:label>
<dc:contributor>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</dc:contributor>
<dc:coverage>balkan</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The World Bank, Washington, D.C.</dc:source>
<geo:lat>41</geo:lat>
<geo:long>19.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 13</gml:lowerCorner>
<gml:upperCorner>47 26</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Economic Worldwide Benefits Coming From Biodiversity</title>
<link>http://maps.grida.no/go/graphic/economic-worldwide-benefits-coming-from-biodiversity</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Tue, 06 Oct 2009 09:44:11 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/economic-worldwide-benefits-coming-from-biodiversity_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>182</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/economic-worldwide-benefits-coming-from-biodiversity_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/16301935-5A08-148A-12AC-B67304D50CC9</guid>
<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>Poverty</g:label>
<g:label>Times</g:label>
<g:label>Green</g:label>
<g:label>Economy</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>TEEB, 2008
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Economies at risk - disasters, poverty and agricultural dependence</title>
<link>http://maps.grida.no/go/graphic/economies-at-risk-disasters-poverty-and-agricultural-dependence</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Natural disasters and conflict disrupts the livelihoods and financial stability of countries, and the people. A high dependence on agriculture signifies a high sensitivity to changes in the environment, such as drought and floods. This map highlights countries with high shares of agrilculture, and also countries with high incidence of poverty, another factor in assessing the vulernability of rural population.</description>
<pubDate>Mon, 06 Feb 2006 18:49:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/economies-at-risk-disasters-poverty-and-agricultural-dependence_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>109</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Natural disasters and conflict disrupts the livelihoods and financial stability of countries, and the people. A high dependence on agriculture signifies a high sensitivity to changes in the environment, such as drought and floods. This map highlights countries with high shares of agrilculture, and also countries with high incidence of poverty, another factor in assessing the vulernability of rural population.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/economies-at-risk-disasters-poverty-and-agricultural-dependence.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CE4163A8-BCE7-130F-0EB7-9A26733FA75E</guid>
<g:label>global</g:label>
<g:label>economy</g:label>
<g:label>agriculture</g:label>
<g:label>poverty</g:label>
<g:label>vulnerability</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World development indicators, World Bank, 2004</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Economy in the Central Asia</title>
<link>http://maps.grida.no/go/graphic/economy-in-the-central-asia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The economy of the various countries within the Aral Sea region sometimes greatly differ in inflation, debt and GDP. This is a report on the economies of Tajikistan, Kyrgyzstan, Kazakhstan, Uzbekistan, Pakistan and Russia. </description>
<pubDate>Wed, 15 Feb 2006 18:39:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_economy_in_the_central_asia.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>308</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The economy of the various countries within the Aral Sea region sometimes greatly differ in inflation, debt and GDP. This is a report on the economies of Tajikistan, Kyrgyzstan, Kazakhstan, Uzbekistan, Pakistan and Russia. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/economy_in_the_central_asia.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12612A39-F8CD-96F0-C4A8-1549A44901CE</guid>
<g:label>geocasia</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>economy</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Regional report assessing the implementation of Agenda 21 in Central Asian countries, UNDP Aral Sea Basin Capacity Development Project for Central Asia, Tashkent, 2001; Human Development Report 2001, Making New Technologies Work for Human Development, UNDP, New York – Oxford, Oxford University Press, 2001; European Bank for Reconstruction and Development, Transition Report update April 2001, quoted from “Neighbors in Need”, Financial Times, 26.09.2001</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Economy in the Central Asia [Russian]</title>
<link>http://maps.grida.no/go/graphic/economy-in-the-central-asia-russian</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The economy of the various countries within the Aral Sea region sometimes greatly differ in inflation, debt and GDP. This is a report on the economies of Tajikistan, Kyrgyzstan, Kazakhstan, Uzbekistan, Pakistan and Russia. In Russian.</description>
<pubDate>Wed, 15 Feb 2006 20:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_economy_in_the_central_asia_russian_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>305</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The economy of the various countries within the Aral Sea region sometimes greatly differ in inflation, debt and GDP. This is a report on the economies of Tajikistan, Kyrgyzstan, Kazakhstan, Uzbekistan, Pakistan and Russia. In Russian.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/economy_in_the_central_asia_russian_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13FFD7FD-14ED-6095-142C-154D6A88CE58</guid>
<g:label>geocasia</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>economy</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Regional report assessing the implementation of Agenda 21 in Central Asian countries, UNDP Aral Sea Basin Capacity Development Project for Central Asia, Tashkent, 2001; Human Development Report 2001, Making New Technologies Work for Human Development, UNDP, New York – Oxford, Oxford University Press, 2001; European Bank for Reconstruction and Development, Transition Report update April 2001, quoted from “Neighbors in Need”, Financial Times, 26.09.2001</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Economy of the Arctic, by sector</title>
<link>http://maps.grida.no/go/graphic/economy_of_the_arctic_by_sector</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The largest economies in the Arctic belong to Alaska (US) and Russia, mainly because of mining and petroleum activity. Regions that are still heavily dominated by more traditional subsistence activities, such as hunting and fishing, in Greenland and in Northern Canada, have much lower gross products. Similarly, reindeer herding in Russia and Scandinavia is of substantial importance to the livelihoods and lifestyles of reindeer herders like the Saami and the Nenets but does not contribute greatly to the gross products of these regions.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/economy_of_the_arctic_by_sector_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>187</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The largest economies in the Arctic belong to Alaska (US) and Russia, mainly because of mining and petroleum activity. Regions that are still heavily dominated by more traditional subsistence activities, such as hunting and fishing, in Greenland and in Northern Canada, have much lower gross products. Similarly, reindeer herding in Russia and Scandinavia is of substantial importance to the livelihoods and lifestyles of reindeer herders like the Saami and the Nenets but does not contribute greatly to the gross products of these regions.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_economy_of_the_arctic_by_sector_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BF9C2357-519D-417E-9E08-4B6078BECAD2</guid>
<g:label>geoarctic</g:label>
<g:label>economy</g:label>
<g:label>primary resources</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Stefansson Arctic Institute, 2004. Arctic Human Development Report.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ecoregions in Antarctica</title>
<link>http://maps.grida.no/go/graphic/ecoregions-in-antarctica</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Antarctica represents a very unique and special case on our planet. With the richness of the Southern Ocean, the coasts and the Southern islands have relatively high biodiversity and biomass in the form of numerous sea birds - such as penguins and mammals such as seals and sea lions - primarily around the Antarctic peninsula - in the Marielandia Arctic Tundra ecoregion. In contrast - the inland of the Antarctic continent are a cold, windy and inhospitable desert with virtually no life.</description>
<pubDate>Mon, 11 Aug 2008 21:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ecoregions-in-antarctica_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Antarctica represents a very unique and special case on our planet. With the richness of the Southern Ocean, the coasts and the Southern islands have relatively high biodiversity and biomass in the form of numerous sea birds - such as penguins and mammals such as seals and sea lions - primarily around the Antarctic peninsula - in the Marielandia Arctic Tundra ecoregion. In contrast - the inland of the Antarctic continent are a cold, windy and inhospitable desert with virtually no life.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ecoregions-in-antarctica.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14B68CEA-79C4-AF71-6412-B916FDB3973C</guid>
<g:label>AQ</g:label>
<g:label>biodiversity</g:label>
<g:label>biomes</g:label>
<g:label>biome</g:label>
<g:label>ecoregion</g:label>
<g:label>ecoregions</g:label>
<g:label>tundra</g:label>
<g:label>desert</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AQ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Wildlife Fund. 2000. Global 200 Ecoregions. http://www.worldwildlife.org/science/ecoregions/g200.cfm (accessed July 1, 2006) </dc:source>
<geo:lat>-75</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>-60 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ecoregions prioritised for conservation, in the Arctic (WWF Global 200)</title>
<link>http://maps.grida.no/go/graphic/ecoregions-prioritised-for-conservation-in-the-arctic-wwf-global-200</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Ecoregions represent large areas with geographically characteristic fauna, flora and climate - both marine and terrestrial. This graphic presents the ecoregion definitions identified by the World Wildlife Fund and associated experts, and specifically those ecoregions that have been designated as priority areas (Global 200 database) for conservation. This means that these ecoregions represent unique biodiversity characteristics, and also that there is a threat from human activities.</description>
<pubDate>Thu, 06 Sep 2007 15:02:56 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ecoregions-prioritised-for-conservation-in-the-arctic-wwf-global-200_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>268</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Ecoregions represent large areas with geographically characteristic fauna, flora and climate - both marine and terrestrial. This graphic presents the ecoregion definitions identified by the World Wildlife Fund and associated experts, and specifically those ecoregions that have been designated as priority areas (Global 200 database) for conservation. This means that these ecoregions represent unique biodiversity characteristics, and also that there is a threat from human activities.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ecoregions-prioritised-for-conservation-in-the-arctic-wwf-global-200.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/130E4C86-D443-DB68-743D-BA024A43DDF9</guid>
<g:label>geoarctic</g:label>
<g:label>ecoregions</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Wildlife Fund. 2000. Global 200 Ecoregions. http://www.worldwildlife.org/science/ecoregions/g200.cfm (accessed July 1, 2006)</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ecosystem services value for the Leuser Ecosystem</title>
<link>http://maps.grida.no/go/graphic/ecosystem-services-value-for-the-leuser-ecosystem</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Values for the various non-carbon ecosystem services (water, regulation of floods and landslides, fisheries, prevention and limitation of fires, agriculture, tourism, and non-timber forest products (NTFP) and biodiversity) were calculated with a discount rate of 4% over a 30-year period. Total value for ecosystem services beyond climate regulation being USD 3,735/ha.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ecosystem-services-value-for-the-leuser-ecosystem_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>104</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Values for the various non-carbon ecosystem services (water, regulation of floods and landslides, fisheries, prevention and limitation of fires, agriculture, tourism, and non-timber forest products (NTFP) and biodiversity) were calculated with a discount rate of 4% over a 30-year period. Total value for ecosystem services beyond climate regulation being USD 3,735/ha.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ecosystem-services-value-for-the-leuser-ecosystem_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/16005F99-E75B-1852-2FD0-143CEAEB8709</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>van Beukering, P.J.H., Cesar, H.S.J. and Janssen, M.A. 2003. Economic valuation of the Leuser National Park on Sumatra, Indonesia. Ecol Econ 44: 43-62.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ecosystem Value 3D </title>
<link>http://maps.grida.no/go/graphic/ecosystem-value-3d</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Tue, 06 Oct 2009 09:45:01 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ecosystem-value-3d_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>118</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ecosystem-value-3d_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CCE5A24F-CD71-161D-982F-7C9B9157BE74</guid>
<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>Poverty</g:label>
<g:label>Times</g:label>
<g:label>Green</g:label>
<g:label>Economy</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>R. Costanza, The value of the world's ecosystem services and natural capital, Nature 1998</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ecosystems in Northern Scandinavia and Finland</title>
<link>http://maps.grida.no/go/graphic/ecosystems_in_northern_scandinavia_and_finland</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The map shows the range of nine different ecosystem types across Fennoscandia, the northern region of scandinavia and the western part of the Barents region. The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. </description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ecosystems_in_northern_scandinavia_and_finland_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>126</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The map shows the range of nine different ecosystem types across Fennoscandia, the northern region of scandinavia and the western part of the Barents region. The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ecosystems_in_northern_scandinavia_and_finland_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1EBC92F7-B597-46D7-A670-FEC05B773BAD</guid>
<g:label>nordic</g:label>
<g:label>ecosystems</g:label>
<g:label>fennoscandia</g:label>
<g:label>nordic</g:label>
<g:label>finland</g:label>
<g:label>sweden</g:label>
<g:label>norway</g:label>
<g:label>barents</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Representativa naturtyper I norden</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ecosystems in Northwest Russia</title>
<link>http://maps.grida.no/go/graphic/ecosystems_in_northwest_russia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The map shows the range of fourteen different ecosystem types across Russia. The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ecosystems_in_northwest_russia_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>171</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The map shows the range of fourteen different ecosystem types across Russia. The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ecosystems_in_northwest_russia_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8934FC6B-6967-48D2-956C-07235B7D7CB4</guid>
<g:label>barentsregion</g:label>
<g:label>Arctic</g:label>
<g:label>Arctic ecosystem</g:label>
<g:label>Biodiversity</g:label>
<g:label>Arctic Russia</g:label>
<g:label>Natural areas</g:label>
<g:label>landscape</g:label>
<g:label>ecosystems</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentsregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Directorate general for geodesy and cartography, USSR council of ministers, V.V. Dokuchaev soil institute, Russian academy of agriculture, 1989.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>39</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 5</gml:lowerCorner>
<gml:upperCorner>85 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Effect of international agreements on the predicted abundance of ODS in the stratosphere 1980–2100</title>
<link>http://maps.grida.no/go/graphic/effect-of-international-agreements-on-the-predicted-abundance-of-ods-in-the-stratosphere-1980-2100</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data.</description>
<pubDate>Mon, 05 Oct 2009 13:36:57 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/effect-of-international-agreements-on-the-predicted-abundance-of-ods-in-the-stratosphere-1980-2100_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>82</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/effect-of-international-agreements-on-the-predicted-abundance-of-ods-in-the-stratosphere-1980-_101.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1158E8B0-A53A-8B6E-6C4B-AE73D7C2C178</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>GEO Data Portal, compiled from UNEP-Ozone Secretariat 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Effects of enhanced UV-B radiations on crops</title>
<link>http://maps.grida.no/go/graphic/effects-of-enhanced-uv-b-radiations-on-crops</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Experiments on food crops have shown lower yields for several key crops such as rice, soy beans and sorghum. The plants minimize their exposure to UV by limiting the surface area of foliage, which in turn impairs growth. However the observed drop in yield does not seem serious enough for scientists to sound the alarm.</description>
<pubDate>Sat, 12 Jan 2008 21:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/effects-of-enhanced-uv-b-radiations-on-crops_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>93</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Experiments on food crops have shown lower yields for several key crops such as rice, soy beans and sorghum. The plants minimize their exposure to UV by limiting the surface area of foliage, which in turn impairs growth. However the observed drop in yield does not seem serious enough for scientists to sound the alarm.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/effects-of-enhanced-uv-b-radiations-on-crops.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C6332E38-D61F-1560-0EB7-C9715CBDCC31</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>depletion</g:label>
<g:label>UV-B</g:label>
<g:label>UV radiation</g:label>
<g:label>agriculture</g:label>
<g:label>crops</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>modified from Krupa and Kickert (1989) by Runeckles and Krupa (1994) in: Fakhri Bazzaz, Wim Sombroek, Global Climate Change and Agricultural Production, FAO, Rome,1996.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Effects of sea-level rise on water resources of small islands and low-lying coastal areas</title>
<link>http://maps.grida.no/go/graphic/effects-of-sea-level-rise-on-water-resources-of-small-islands-and-low-lying-coastal-areas</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The water resources of small islands and low-lying coastal areas are very susceptible to sea-level rise. This figure illustrates the direct impacts on the water resources sector, as well as the plethora of higher-order impacts which affect not only that sector but most, if not all, other sectors including health, transport and agriculture.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/effects-of-sea-level-rise-on-water-resources-of-small-islands-and-low-lying-coastal-areas_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>179</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The water resources of small islands and low-lying coastal areas are very susceptible to sea-level rise. This figure illustrates the direct impacts on the water resources sector, as well as the plethora of higher-order impacts which affect not only that sector but most, if not all, other sectors including health, transport and agriculture.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/effects-of-sea-level-rise-on-water-resources-of-small-islands-and-low-lying-coastal-areas.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/66294A06-1157-5505-E85A-F61838A6016C</guid>
<g:label>global</g:label>
<g:label>cryosphere</g:label>
<g:label>sea-level</g:label>
<g:label>climate change</g:label>
<g:label>climatology</g:label>
<g:label>oceans</g:label>
<g:label>marine issues</g:label>
<g:label>vulnerability</g:label>
<g:label>adaptation</g:label>
<g:label>extreme events</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Hay, J.E. and Mimura, N. (2006). Sea-level rise: Implications for water resources management. Mitigation and Adaptation Strategies for Global Change, 10, 717-737</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Effects of the Montreal Protocol amendment and their phase-out schedules</title>
<link>http://maps.grida.no/go/graphic/effects-of-the-montreal-protocol-amendment-and-their-phase-out-schedules</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>There are currently a hundred and ninety-one Parties to this treaty, demonstrating a greater degree of global participation than almost any other agreement managed by the UN. By 2005 these countries had collectively phased out more than 95% of the production and consumption of the chemicals controlled by the protocol.</description>
<pubDate>Sat, 12 Jan 2008 21:50:24 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/effects-of-the-montreal-protocol-amendment-and-their-phase-out-schedules_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>450</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>There are currently a hundred and ninety-one Parties to this treaty, demonstrating a greater degree of global participation than almost any other agreement managed by the UN. By 2005 these countries had collectively phased out more than 95% of the production and consumption of the chemicals controlled by the protocol.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/effects-of-the-montreal-protocol-amendment-and-their-phase-out-schedules.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5501E149-6891-150B-3032-D69751E1B6AE</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>chlorofluorocarbons</g:label>
<g:label>CFCs</g:label>
<g:label>depletion</g:label>
<g:label>ozone hole</g:label>
<g:label>ozone depleting substances</g:label>
<g:label>ODS</g:label>
<g:label>Montreal Protocol</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Twenty Questions and Answers about the Ozone Layer: 2006 Update, Lead Author: D.W. Fahey, Panel Review Meeting for the 2006 ozone assessment.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Effets de la sécheresse sur les cheptels dans certains pays africains (graphique à insérer) </title>
<link>http://maps.grida.no/go/graphic/effets-de-la-s-cheresse-sur-les-cheptels-dans-certains-pays-africains-graphique-ins-rer</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>No Data</description>
<pubDate>Mon, 08 Jun 2009 17:58:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/effets-de-la-s-cheresse-sur-les-cheptels-dans-certains-pays-africains-graphique-ins-rer_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>144</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>No Data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/effets-de-la-s-cheresse-sur-les-cheptels-dans-certains-pays-africains-graphique-ins-rer_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/6043FE9F-CF23-D602-38CF-DF601CB95BF9</guid>
<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IPCC. 2007. Climate Change 2007 - Working Group II Report 'Impacts, Adaptation and Vulnerability', chapter 5. HYPERLINK 'http://www.ipcc.ch/ipccreports/ar4-wg2.htm' http://www.ipcc.ch/ipccreports/ar4-wg2.htm (Accessed January 23, 2008)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>El Niño-Southern Oscillation (ENSO) Phenomenon</title>
<link>http://maps.grida.no/go/graphic/el-ni-o-southern-oscillation-enso-phenomenon</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Delphine Digout, UNEP/GRID-Arendal</mapsgrida:designer>
<description>El Niño describes 'the warm phase of a naturally occurring sea surface temperature oscillation in the tropical Pacific Ocean', and southern oscillation refers to 'a seesaw shift in surface air pressure at Darwin, Australia and the South Pacific Island of Tahiti'. This graphic explains the El Niño-Southern Oscillation Phenomenon, showing the differences between a normal year and an El Niño year.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/el-ni-o-southern-oscillation-enso-phenomenon_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>173</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Delphine Digout, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>El Niño describes &apos;the warm phase of a naturally occurring sea surface temperature oscillation in the tropical Pacific Ocean&apos;, and southern oscillation refers to &apos;a seesaw shift in surface air pressure at Darwin, Australia and the South Pacific Island of Tahiti&apos;. This graphic explains the El Niño-Southern Oscillation Phenomenon, showing the differences between a normal year and an El Niño year.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/el-ni-o-southern-oscillation-enso-phenomenon_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/0664C234-4DF5-4970-AEB3-CEEDF25E15EF</guid>
<g:label>global</g:label>
<g:label>sea surface temperature</g:label>
<g:label>sea level pressure</g:label>
<g:label>temperature anomaly</g:label>
<g:label>temperature fluctuation</g:label>
<g:label>climate change</g:label>
<dc:contributor>Delphine Digout, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Climate Prediction Center (CPC), National Centers for Environmental Prediction (NCEP); National Oceanic and Atmospheric Administration (NOAA).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Electricity consumption by category in the Nordic countries in 1996</title>
<link>http://maps.grida.no/go/graphic/electricity-consumption-by-category-in-the-nordic-countries-in-1996</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows electricity consumption by category in the Nordic countries in 1996. Developed countries, and Nordic nations in particular, have the highes energy consumption per capita in the world. Over the last decade developed countries have attempted to reduce the over-all energy demand.This includes attempts to increase energy efficiency in households and industrial processes. </description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/electricity-consumption-by-category-in-the-nordic-countries-in-1996_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows electricity consumption by category in the Nordic countries in 1996. Developed countries, and Nordic nations in particular, have the highes energy consumption per capita in the world. Over the last decade developed countries have attempted to reduce the over-all energy demand.This includes attempts to increase energy efficiency in households and industrial processes. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/electricity-consumption-by-category-in-the-nordic-countries-in-1996.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/50D77F4E-FFC1-4432-A8D6-28E8AC928C0D</guid>
<g:label>nordic</g:label>
<g:label>Energy</g:label>
<g:label>electricity consumption</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>NORDEL, 1998</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Electricity consumption in Baltic region countries in 1995. in TWh</title>
<link>http://maps.grida.no/go/graphic/electricity_consumption_in_baltic_region_countries_in_1995_in_twh</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows electricity consumption in Baltic region countries in 1995 in TWh. Russia and Germany are the biggest consumers of electricity overall, however it is worth noticing that Nordic nations by far have the highes energy consumption per capita. </description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivenc22_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows electricity consumption in Baltic region countries in 1995 in TWh. Russia and Germany are the biggest consumers of electricity overall, however it is worth noticing that Nordic nations by far have the highes energy consumption per capita. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivenc22_l.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1D4A9C6C-96F4-4386-BA4F-122CD2CADFB4</guid>
<g:label>balticregion</g:label>
<g:label>Energy</g:label>
<g:label>electricity consumption</g:label>
<g:label>Balic region</g:label>
<g:label></g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>balticregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>International Energy Agency, 1998</dc:source>
<geo:lat>60</geo:lat>
<geo:long>20</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>50 4</gml:lowerCorner>
<gml:upperCorner>70 36</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Electricity consumption in kWh per capita</title>
<link>http://maps.grida.no/go/graphic/electricity-consumption-in-kwh-per-capita</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows the consumption on electricity in kWh per capita. The graph shows that developed countries, and Nordic nations in particular have the highest energy consumption per capita. Please note that this figure is old and outdated</description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/electricity-consumption-in-kwh-per-capita_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows the consumption on electricity in kWh per capita. The graph shows that developed countries, and Nordic nations in particular have the highest energy consumption per capita. Please note that this figure is old and outdated</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/electricity-consumption-in-kwh-per-capita.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/4AA8C788-3B52-4882-A964-9259D9CEBB63</guid>
<g:label>nordic</g:label>
<g:label>energy</g:label>
<g:label>electricity consumption</g:label>
<g:label>energy conservation</g:label>
<g:label>electricity</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway/SSB, International Energy Agency 1998</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Electricity generation by sources in the Nordic countries in 1996</title>
<link>http://maps.grida.no/go/graphic/electricity-generation-by-sources-in-the-nordic-countries-in-1996</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows the electricity generation by sources in the Nordic countries in 1996. Nordic countries have a highly developed energy marked, particularly in renewables, partly due to a high number of scientist working in reasearch per head of population and large budgets for development and research.</description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/electricity-generation-by-sources-in-the-nordic-countries-in-1996_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows the electricity generation by sources in the Nordic countries in 1996. Nordic countries have a highly developed energy marked, particularly in renewables, partly due to a high number of scientist working in reasearch per head of population and large budgets for development and research.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/electricity-generation-by-sources-in-the-nordic-countries-in-1996.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F79A9F44-0400-4C32-AD4D-497DE94B8A53</guid>
<g:label>nordic</g:label>
<g:label>Energy</g:label>
<g:label>electricity generation</g:label>
<g:label>renewable power</g:label>
<g:label>biofuel</g:label>
<g:label>thermal power</g:label>
<g:label>Nuclear power</g:label>
<g:label>Hydropower</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>NORDEL, 1998</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Electricity Production and Sources</title>
<link>http://maps.grida.no/go/graphic/electricity-production-and-sources</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</mapsgrida:designer>
<description>Changes in energy intensity in Latin America and the Caribbean reveals the importance of improving energy efficiency levels, on both the supply and the demand side, and of expanding the use of renewable energies. In South America, 70% of the electricity produced comes from hydroelectric sources. </description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/electricity-production-and-sources_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>124</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Changes in energy intensity in Latin America and the Caribbean reveals the importance of improving energy efficiency levels, on both the supply and the demand side, and of expanding the use of renewable energies. In South America, 70% of the electricity produced comes from hydroelectric sources. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/electricity-production-and-sources_010.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E0DC83EE-1296-A22C-B183-178B8539EF4C</guid>
<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank, online database, accessed in July 2010.</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Electrification and traditional fuels in Sub-Saharan Africa</title>
<link>http://maps.grida.no/go/graphic/electrification-and-traditional-fuels-in-sub-saharan-africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Southern African Development Community (SADC) consists of 15 countries, with 233 million inhabitants. Apart from Mauritius and the countries around South Africa in the Southern African Customs Union (SACU), the remaining countries exhibit low rates of electricity access and use of high quality fuels. Easy access to electricity and power increases the living standard and enables the development of additional services.</description>
<pubDate>Sun, 08 Jun 2008 06:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/electrification-and-traditional-fuels-in-sub-saharan-africa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>102</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Southern African Development Community (SADC) consists of 15 countries, with 233 million inhabitants. Apart from Mauritius and the countries around South Africa in the Southern African Customs Union (SACU), the remaining countries exhibit low rates of electricity access and use of high quality fuels. Easy access to electricity and power increases the living standard and enables the development of additional services.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/electrification-and-traditional-fuels-in-sub-saharan-africa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11C41189-754F-1232-95D0-73125C0E532B</guid>
<g:label>global</g:label>
<g:label>energy</g:label>
<g:label>electricity</g:label>
<g:label>development</g:label>
<g:label>fuels</g:label>
<g:label>wood</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>United Nations Development Programme (UNDP). 2006. Human Development Report 2006. Table 21. New York: Oxford University Press.
Johnson, Francis X. and Rosillo-Calle, F. 2007. Biomass, Livelihoods and International Trade: Challenges and Opportunities for the EU and Southern Africa. Table 3. http://www.sei.se/index.php?page=pubs&amp;pubaction=showitem&amp;item=718 (Accessed May 1, 2008)
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Elevation</title>
<link>http://maps.grida.no/go/graphic/elevation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Bukit Barisan mountain range that runs down the full length of Sumatra reach altitudes of over 3,000 meters above sea level (m asl), with the highest peaks being Gunung Kerinci in West Sumatra (3,800 m asl) and Gunung Leuser (3,404 m asl) in Aceh. Sumatran orangutan habitat is primarily in lowland areas. The highest densities are found below 500 m asl, but individuals can still be encountered on occasion as high as 2,000 m asl.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/elevation_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>251</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Bukit Barisan mountain range that runs down the full length of Sumatra reach altitudes of over 3,000 meters above sea level (m asl), with the highest peaks being Gunung Kerinci in West Sumatra (3,800 m asl) and Gunung Leuser (3,404 m asl) in Aceh. Sumatran orangutan habitat is primarily in lowland areas. The highest densities are found below 500 m asl, but individuals can still be encountered on occasion as high as 2,000 m asl.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/elevation_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/17E87BAC-1292-70E8-5EC0-AAED261B56B1</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Bathymetry from the ETOPO1 Global Relief Model downloaded from: http://www.ngdc.noaa.gov/mgg/global/global.html
Sumatran orangutan distribution shapefile prepared by Singleton and Wich and based on Wich et al. 2008 with unpublished data added.
Elevation shown is SRTM 90M DEM available from the CGIAR website (http://srtm.csi.cgiar.org/).
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emission Assessment</title>
<link>http://maps.grida.no/go/graphic/emission-assessment</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emission Assessment visualizing raw material, transformed products, energy and workers and related activities flows.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emission-assessment_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>133</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emission Assessment visualizing raw material, transformed products, energy and workers and related activities flows.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emission-assessment_001.jpg</g:image_link>
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<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
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</item>
<item>
<title>Emission calculators</title>
<link>http://maps.grida.no/go/graphic/emission-calculators</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emission calculators for energy, transport sectors and various sectors found on non-profit, profit and offset providers.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emission-calculators_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>118</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emission calculators for energy, transport sectors and various sectors found on non-profit, profit and offset providers.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emission-calculators_001.jpg</g:image_link>
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<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
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<item>
<title>Emission Calculators</title>
<link>http://maps.grida.no/go/graphic/emission-calculators1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Table explaining Emission Calculators</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emission-calculators_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>126</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Table explaining Emission Calculators</mapsgrida:descriptionnonhtml>
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<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Earth Charter Initiative (earthcharterinaction.org/climate/2007/09/find_the_right_carbon_calculat.html#more );
Climate Outreach and Information Network (coinet.org.uk/materials/carboncalculations ); European Commission ( www.mycarbonfootprint.eu ).</dc:source>
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<item>
<title>Emissions and energy scenarios by source</title>
<link>http://maps.grida.no/go/graphic/emissions_and_energy_scenarios_by_source</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Despite the Kyoto protocol and increased concern over the consequences of climate change, world wide emissions of CO2 continues to grow. According to the International Energy Agency (IEA) world total CO2 emissions will increase by 62% from 2002 – 2030. More than two-thirds of the increase will come from developing countries. They will overtake the OECD as the leading contributor to global emissions early in the 2020s. Despite the strong increase in emissions in developing countries, both the OECD and the transition economies will still have far higher per capita emissions in 2030. Energy-related CO2 emissions from Annex 1 OECD countries are projected to be 30 % above the Kyoto target for these countries in 2010, while emissions from Annex 1 transition economies will be 25 % below target. In OECD Europe, use of gas will contribute more to global warming than coal in 2020. Use of oil will still be the biggest contributor.</description>
<pubDate> --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions_and_energy_scenarios_by_source_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>317</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Despite the Kyoto protocol and increased concern over the consequences of climate change, world wide emissions of CO2 continues to grow. According to the International Energy Agency (IEA) world total CO2 emissions will increase by 62% from 2002 – 2030. More than two-thirds of the increase will come from developing countries. They will overtake the OECD as the leading contributor to global emissions early in the 2020s. Despite the strong increase in emissions in developing countries, both the OECD and the transition economies will still have far higher per capita emissions in 2030. Energy-related CO2 emissions from Annex 1 OECD countries are projected to be 30 % above the Kyoto target for these countries in 2010, while emissions from Annex 1 transition economies will be 25 % below target. In OECD Europe, use of gas will contribute more to global warming than coal in 2020. Use of oil will still be the biggest contributor.</mapsgrida:descriptionnonhtml>
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<g:label>global</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>climate change</g:label>
<g:label>energy</g:label>
<g:label>climate change</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>OECD</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions Assessment</title>
<link>http://maps.grida.no/go/graphic/emissions-assessment</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Direct measurements of greenhouse gases emissions are not possible. Assessments are therefore using precise theoretical calculations for each sectors. They are called “emission factors” and are regularly updated.
Trying to quantify emissions related to a given activity requires consideration of complete life-cycles. That means counting emissions from all related activities, raw materials, transformed products and necessary infrastructure (indirect emissions). Naturally, one has to stop imputing indirect emissions to the evaluated activity at some point. This will depend on the working branch and on the assessment methodology used.</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-assessment_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>134</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Direct measurements of greenhouse gases emissions are not possible. Assessments are therefore using precise theoretical calculations for each sectors. They are called “emission factors” and are regularly updated.
Trying to quantify emissions related to a given activity requires consideration of complete life-cycles. That means counting emissions from all related activities, raw materials, transformed products and necessary infrastructure (indirect emissions). Naturally, one has to stop imputing indirect emissions to the evaluated activity at some point. This will depend on the working branch and on the assessment methodology used.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-assessment.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Source: Bilan Carbone ©, French Environment and Energy Management Agency (ADEME), 2007; Jean-Marc Jancovici, Manicore
(consulting company); René-François Bizec, Gaz à effet de serre et changement climatique, 2005.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions by gas</title>
<link>http://maps.grida.no/go/graphic/emissions-by-gas1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Thousand million tonnes of CO2 equivalent per year
(1970-2004 period)</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-by-gas_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>192</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Thousand million tonnes of CO2 equivalent per year
(1970-2004 period)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-by-gas_002.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IPCC Fourth Assessment Report, Working Group III Report: Mitigation of Climate Change; 2007 (figure adapted from Olivier et al., 2005; 2006; Hooijer et al., 2006).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions by gas</title>
<link>http://maps.grida.no/go/graphic/emissions-by-gas</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions of various gases from deforestation, logging, peat fires, fossil fuel and other sources.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-by-gas_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>191</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions of various gases from deforestation, logging, peat fires, fossil fuel and other sources.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-by-gas_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5D732CCF-1378-10AC-7179-E8C7BA344275</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions de HFC pour quelques pays industrialisés</title>
<link>http://maps.grida.no/go/graphic/emissions-de-hfc-pour-quelques-pays-industrialis-s</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Note : Sous le régime de la Convention-cadre de l’ONU sur les changements climatiques, les pays industrialisés qui ont ratifié le protocole de Kyoto s’obligent à déclarer annuellement leurs émissions de HFC depuis 1990. 40 pays font partie de cette catégorie actuellement, dont 22 ont déclaré des données dès 1990. Les émissions supérieures à 1'000 tonnes d’équivalent-CO2 en 2007 figurent sur cette carte. Les 25 autres pays industrialisés dont les émissions sont inférieures à 1'000 tonnes d’équivalent-CO2 ne figurent pas sur cette carte ; leurs émission cumulées se montaient en 2007 à 9'784 tonnes d’équivalent-CO2.
Comme les pays qui ne relèvent pas de l’annexe 1 (« pays en voie de développement ») ne sont pas tenus de déclarer leurs émissions de HFC sous le régime de la CCNUCC, il n’existe pas de données officielles cohérentes pour ces pays. Cela ne doit pas conduire à la conclusion que ces pays n’émettent pas de HFC.
</description>
<pubDate>Wed, 26 May 2010 20:13:38 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-de-hfc-pour-quelques-pays-industrialis-s_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>154</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Note : Sous le régime de la Convention-cadre de l’ONU sur les changements climatiques, les pays industrialisés qui ont ratifié le protocole de Kyoto s’obligent à déclarer annuellement leurs émissions de HFC depuis 1990. 40 pays font partie de cette catégorie actuellement, dont 22 ont déclaré des données dès 1990. Les émissions supérieures à 1&apos;000 tonnes d’équivalent-CO2 en 2007 figurent sur cette carte. Les 25 autres pays industrialisés dont les émissions sont inférieures à 1&apos;000 tonnes d’équivalent-CO2 ne figurent pas sur cette carte ; leurs émission cumulées se montaient en 2007 à 9&apos;784 tonnes d’équivalent-CO2.
Comme les pays qui ne relèvent pas de l’annexe 1 (« pays en voie de développement ») ne sont pas tenus de déclarer leurs émissions de HFC sous le régime de la CCNUCC, il n’existe pas de données officielles cohérentes pour ces pays. Cela ne doit pas conduire à la conclusion que ces pays n’émettent pas de HFC.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-de-hfc-pour-quelques-pays-industrialis-s_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A8FDC453-BDA1-1437-C719-D3FE75A18876</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>resource</g:label>
<g:label>kit</g:label>
<g:label>journalist</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>CCNUCC, 2009. Carte initiale : Atelier de cartographie de Sciences Po.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions due to solid waste disposal on land</title>
<link>http://maps.grida.no/go/graphic/emissions-due-to-solid-waste-disposal-on-land</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Landfi ling is the most common waste management practice, and results in the release of methane from the anaerobic decomposition of organic materials. Methane is around 20 times more potent as a GHG than carbon dioxide. If the disposal of organic matter were to be decreased (for example
by composting or incineration) it would be possible to reduce the amount of methane emissions. However, landfill methane is also a source of energy, and some landfills capture and use it for energy. In addition, many materials in landfills do not decompose fully, and the carbon that remains is sequestered in the landfill and not released into the atmosphere.</description>
<pubDate>Thu, 09 Feb 2006 23:49:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions_due_to_solid_waste_disposal_on_land_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>124</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Landfi ling is the most common waste management practice, and results in the release of methane from the anaerobic decomposition of organic materials. Methane is around 20 times more potent as a GHG than carbon dioxide. If the disposal of organic matter were to be decreased (for example
by composting or incineration) it would be possible to reduce the amount of methane emissions. However, landfill methane is also a source of energy, and some landfills capture and use it for energy. In addition, many materials in landfills do not decompose fully, and the carbon that remains is sequestered in the landfill and not released into the atmosphere.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions_due_to_solid_waste_disposal_on_land_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>landfills</g:label>
<g:label>methane</g:label>
<g:label>climate change</g:label>
<g:label>greenhouse effect</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions from agriculture</title>
<link>http://maps.grida.no/go/graphic/emissions-from-agriculture</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Average emissions, thousand million tonnes of CO2 equivalent per year in various agriculture generated emission gases.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-from-agriculture_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>315</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Average emissions, thousand million tonnes of CO2 equivalent per year in various agriculture generated emission gases.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-from-agriculture_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/63EF97D8-D52D-A059-7CE7-11E9966CFD08</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions from agriculture</title>
<link>http://maps.grida.no/go/graphic/emissions-from-agriculture1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Average emissions Thousand million tonnes of CO2 equivalent per year</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-from-agriculture_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>312</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Average emissions Thousand million tonnes of CO2 equivalent per year</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-from-agriculture_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F29F764C-B8D0-10BA-D3E8-D96D0B0F3C2E</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Greenpeace, Cool farming: Climate impacts of agriculture and mitigation potential, January 2008 (data for 2005).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of anthropogenic greenhouse gases, Finland</title>
<link>http://maps.grida.no/go/graphic/emissions-of-anthropogenic-greenhouse-gases-finland</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows Finnish emissions of anthropogenic greenhouse gases from 1980 to 1996 with projections to 2010 according to second national communications to UNFCCC. Greenhouse gases are largely produced by human activities such as industrial processes, fossil fuel combustion, and changes in land use, including deforestation. </description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-of-anthropogenic-greenhouse-gases-finland_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows Finnish emissions of anthropogenic greenhouse gases from 1980 to 1996 with projections to 2010 according to second national communications to UNFCCC. Greenhouse gases are largely produced by human activities such as industrial processes, fossil fuel combustion, and changes in land use, including deforestation. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-of-anthropogenic-greenhouse-gases-finland.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D82D9BAD-F2EE-46DB-B7B8-2E908E0DCE2E</guid>
<g:label>nordic</g:label>
<g:label>Climate change</g:label>
<g:label>greenhouse gases</g:label>
<g:label>global warming</g:label>
<dc:contributor>Emmanuelle Bournay, Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EEA, CICERO 1997</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of carbon dioxide, in Africa and selected OECD countries</title>
<link>http://maps.grida.no/go/graphic/emissions_of_carbon_dioxide_in_africa_and_selected_oecd_countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Africa represents only a small fraction, 3.6%, out of the total carbon dioxide (CO2) emissions per year, yet 14% of the population of the world lives here. The emissions per inhabitant in Libya, the Seychelles and South Africa are on the level of the lowest among OECD countries with the other African countries trailing lower behind them. Regionally, emissions (both per capita and in total) are at their highest in North Africa and in the country of South Africa.</description>
<pubDate>Thu, 02 Nov 2006 16:51:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions_of_carbon_dioxide_in_africa_and_selected_oecd_countries_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>201</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Africa represents only a small fraction, 3.6%, out of the total carbon dioxide (CO2) emissions per year, yet 14% of the population of the world lives here. The emissions per inhabitant in Libya, the Seychelles and South Africa are on the level of the lowest among OECD countries with the other African countries trailing lower behind them. Regionally, emissions (both per capita and in total) are at their highest in North Africa and in the country of South Africa.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_emissions_of_carbon_dioxide_in_africa_and_selected_oecd_countries_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14002856-FDDD-7D63-0EBC-12878D9F5E70</guid>
<g:label>geoafrica</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>greenhouse gases</g:label>
<g:label>co2</g:label>
<g:label>carbon dioxide</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UN Statistics Common Database</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of CO2 - selected countries (1995)</title>
<link>http://maps.grida.no/go/graphic/emissions-of-co2-selected-countries-1995</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The rich countries of the world historically have emitted most of the anthropogenic greenhouse gases since the start of the industrial revolution in the latter half of the 1700s. Per capita, the significant emissions still are produced by the OECD countries.</description>
<pubDate>Thu, 16 Aug 2007 11:35:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-of-co2-selected-countries-1995_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>129</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The rich countries of the world historically have emitted most of the anthropogenic greenhouse gases since the start of the industrial revolution in the latter half of the 1700s. Per capita, the significant emissions still are produced by the OECD countries.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-of-co2-selected-countries-1995.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/2117236D-FC5A-43F7-BEA2-F8261513D9F2</guid>
<g:label>global</g:label>
<g:label>Climate</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>International Energy Agency, 1998</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of CO2 in Norway, 85-95</title>
<link>http://maps.grida.no/go/graphic/emissions-of-co2-in-norway-85-95</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows emissions of CO2 in Norway from 1985 to 1995 and estimates future emissions from 1995 to 2010. CO2 can be created by use of fossil fuel, by land-use convertion, combustion or cement production. </description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-of-co2-in-norway-85-95_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>386</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows emissions of CO2 in Norway from 1985 to 1995 and estimates future emissions from 1995 to 2010. CO2 can be created by use of fossil fuel, by land-use convertion, combustion or cement production. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-of-co2-in-norway-85-95.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/6E6B4EF6-A5B2-4A3C-AD7F-AE330A241C16</guid>
<g:label>NO</g:label>
<g:label>Pollution</g:label>
<g:label>greenhouse gases</g:label>
<g:label>climate change</g:label>
<g:label>global warming</g:label>
<g:label>CO2</g:label>
<g:label>carbon dioxide</g:label>
<g:label>emissions</g:label>
<g:label>Norway</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>NO</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway/SSB,Ministry of Environment 1997</dc:source>
<geo:lat>64</geo:lat>
<geo:long>17.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>57 4</gml:lowerCorner>
<gml:upperCorner>71 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of CO2 per capita 1990 (selected countries)</title>
<link>http://maps.grida.no/go/graphic/emissions-of-co2-per-capita-1990-selected-countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows emissions of CO2 per capita 1990. CO2 can be emitted as byproduct from the use of fossil fuel, by combustion, land-use conversion and cement production. Atmospheric concentrations of CO2 are increasing, and it is indicated that this contributes to global warming and climate change.</description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-of-co2-per-capita-1990-selected-countries_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>211</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows emissions of CO2 per capita 1990. CO2 can be emitted as byproduct from the use of fossil fuel, by combustion, land-use conversion and cement production. Atmospheric concentrations of CO2 are increasing, and it is indicated that this contributes to global warming and climate change.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-of-co2-per-capita-1990-selected-countries.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/3468A68E-4260-4ABD-8DBA-19C4A01FD867</guid>
<g:label>global</g:label>
<g:label>Pollution</g:label>
<g:label>climate change</g:label>
<g:label>global warming</g:label>
<g:label>emissions</g:label>
<g:label>carbon dioxide</g:label>
<g:label>CO2</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway/SSB, climate change information kit, UNEP IUC; 1997.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of greenhouse gases in Norway, 1985-1996</title>
<link>http://maps.grida.no/go/graphic/emissions_of_greenhouse_gases_in_norway_1985_1996</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows the total emission of 6 major greenhouse gases in Norway from 1985 to 1996 with projections to 2010. Greenhouse gases are largely produced through human activities including industrial processes, fossil fuel combustion, and changes in land use, such as deforestation. </description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions_of_greenhouse_gases_in_norway_1985_1996_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>178</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows the total emission of 6 major greenhouse gases in Norway from 1985 to 1996 with projections to 2010. Greenhouse gases are largely produced through human activities including industrial processes, fossil fuel combustion, and changes in land use, such as deforestation. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions_of_greenhouse_gases_in_norway_1985_1996.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5ECC9E9D-BCAE-444E-8903-637B0AC6163A</guid>
<g:label>NO</g:label>
<g:label>Atmosphere</g:label>
<g:label>Climate change</g:label>
<g:label>greenhouse gases</g:label>
<g:label>pollution</g:label>
<g:label>global warming</g:label>
<g:label>Norway</g:label>
<g:label>emissions</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>NO</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway/SSB, Ministry of Environment 1997</dc:source>
<geo:lat>64</geo:lat>
<geo:long>17.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>57 4</gml:lowerCorner>
<gml:upperCorner>71 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of greenhouse gases in Norway, C2F4 and C2F6 85-96</title>
<link>http://maps.grida.no/go/graphic/emissions_of_greenhouse_gases_in_norway_c2f4_and_c2f6_85_96</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows emissions of C2F4 and C2F6 in CO2 equivalents in Norway from 1985 to 1996. C2F4 and C2F6 are primarily results of the production process of alumunium. Their atmospheric lifetime is estimated to be around 50 000 years. </description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions_of_greenhouse_gases_in_norway_c2f4_and_c2f6_85_96_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>249</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows emissions of C2F4 and C2F6 in CO2 equivalents in Norway from 1985 to 1996. C2F4 and C2F6 are primarily results of the production process of alumunium. Their atmospheric lifetime is estimated to be around 50 000 years. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions_of_greenhouse_gases_in_norway_c2f4_and_c2f6_85_96.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B6977184-86BD-4FC1-B33C-C94D0DDFDD5A</guid>
<g:label>NO</g:label>
<g:label>Pollution</g:label>
<g:label>greenhouse gases</g:label>
<g:label>aluminium production</g:label>
<g:label>climate change</g:label>
<g:label>global warming</g:label>
<g:label>emissions</g:label>
<g:label>C2F4</g:label>
<g:label>C2F6</g:label>
<g:label>Hexafluroethane</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>NO</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway/SSB, Ministry of Environment 1997</dc:source>
<geo:lat>64</geo:lat>
<geo:long>17.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>57 4</gml:lowerCorner>
<gml:upperCorner>71 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of HFC in CO2 equivalents in Norway, 85-96</title>
<link>http://maps.grida.no/go/graphic/emissions_of_hfc_in_co2_equivalents_in_norway_85_96</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows Emissions of HFC in CO2 equivalents in Norway from 1985 to 1996 with projections to 2010.
HFCs are among the most important greenhouse gases and are covered under the Kyoto protocol. Hydrofluorocarbons (HFC's) do not harm or breakdown the ozone molecule, but they do trap heat in the atmosphere, making it a greenhouse gas, aiding in global warming. HFC’s are used in air conditioners and refrigerators. </description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivesn10_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>288</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows Emissions of HFC in CO2 equivalents in Norway from 1985 to 1996 with projections to 2010.
HFCs are among the most important greenhouse gases and are covered under the Kyoto protocol. Hydrofluorocarbons (HFC&apos;s) do not harm or breakdown the ozone molecule, but they do trap heat in the atmosphere, making it a greenhouse gas, aiding in global warming. HFC’s are used in air conditioners and refrigerators. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivesn10_l.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EC0F283D-07E9-41A4-A6D0-6DD29C60E5CF</guid>
<g:label>NO</g:label>
<g:label>Atmosphere</g:label>
<g:label>Pollution</g:label>
<g:label>emissions</g:label>
<g:label>HFC</g:label>
<g:label>greenhouse gases</g:label>
<g:label>hydrofluorocarbons</g:label>
<g:label>global warming</g:label>
<g:label>Norway</g:label>
<g:label>ozone</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>NO</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway/SSB,Ministry of Environment 1997</dc:source>
<geo:lat>64</geo:lat>
<geo:long>17.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>57 4</gml:lowerCorner>
<gml:upperCorner>71 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of N20 in Norway, 85-96</title>
<link>http://maps.grida.no/go/graphic/emissions_of_n20_in_norway_85_96</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows emissions of N20 in Norway from 1985 to 1996 with projections to 2010. N20 can occour naturally or have anthropogenic sources such as fertilizrs, combustion and various industrial processes. </description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions_of_n20_in_norway_85_96_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>190</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows emissions of N20 in Norway from 1985 to 1996 with projections to 2010. N20 can occour naturally or have anthropogenic sources such as fertilizrs, combustion and various industrial processes. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions_of_n20_in_norway_85_96.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E14DCB8B-704A-4392-BFB6-840392DFF7DE</guid>
<g:label>NO</g:label>
<g:label>Atmosphere</g:label>
<g:label>Climate change</g:label>
<g:label>NO2</g:label>
<g:label>nitrous oxide</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>NO</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway/SSB, Ministry of Environment 1997</dc:source>
<geo:lat>64</geo:lat>
<geo:long>17.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>57 4</gml:lowerCorner>
<gml:upperCorner>71 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of N2O in Norway, 85-96</title>
<link>http://maps.grida.no/go/graphic/emissions_of_n2o_in_norway_85_96</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows emissions of N2O in Norway from 1985 to 1996. Nitrous oxide (N2O) is emitted to the atmosphere by both natural such as combustion and anthropogenic sources such as industrial processes and fertilizers. </description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivesn07_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>230</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows emissions of N2O in Norway from 1985 to 1996. Nitrous oxide (N2O) is emitted to the atmosphere by both natural such as combustion and anthropogenic sources such as industrial processes and fertilizers. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivesn07_l.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/0C870005-9566-45C2-8576-0A70A0FEE058</guid>
<g:label>NO</g:label>
<g:label>Atmosphere</g:label>
<g:label>climate change</g:label>
<g:label>greenhouse gases</g:label>
<g:label>N2O</g:label>
<g:label>Nitrous oxide</g:label>
<g:label>emissions</g:label>
<g:label>Norway</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>NO</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>statistics Norway,SSB 1997</dc:source>
<geo:lat>64</geo:lat>
<geo:long>17.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>57 4</gml:lowerCorner>
<gml:upperCorner>71 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of organic water pollutants</title>
<link>http://maps.grida.no/go/graphic/emissions_of_organic_water_pollutants</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Pollution emitted in industrial areas represents a threat to human health and the surrounding natural resources. We have a tendency to believe that the production processes are the only source of environmental damage, and often forget about the possible long-term effects of harmful production practices.</description>
<pubDate>Tue, 07 Feb 2006 17:42:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions_of_organic_water_pollutants_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>117</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Pollution emitted in industrial areas represents a threat to human health and the surrounding natural resources. We have a tendency to believe that the production processes are the only source of environmental damage, and often forget about the possible long-term effects of harmful production practices.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions_of_organic_water_pollutants_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10597E1B-B8BD-12C6-D9B5-598D76417A23</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>water</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank, 2004</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of SF6 in Norway, 85-96</title>
<link>http://maps.grida.no/go/graphic/emissions_of_sf6_in_norway_85_96</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows emissions of SF6 in Norway from 1985 to 1996.SF6 is a highly potent greenhouse gas used in the industry for insulation in high voltage equipment and current interruption in electric transmission and distribution equipment.</description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivesn13_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>246</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows emissions of SF6 in Norway from 1985 to 1996.SF6 is a highly potent greenhouse gas used in the industry for insulation in high voltage equipment and current interruption in electric transmission and distribution equipment.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivesn13_l.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B315242B-33CF-4A2B-85AF-A7826BC6AEBF</guid>
<g:label>NO</g:label>
<g:label>Atmosphere</g:label>
<g:label>Climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>greenhouse gases</g:label>
<g:label>SF6</g:label>
<g:label>Sulfur Hexafluoride</g:label>
<g:label>Norway</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>NO</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Statistics Norway/ SSB 1997</dc:source>
<geo:lat>64</geo:lat>
<geo:long>17.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>57 4</gml:lowerCorner>
<gml:upperCorner>71 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions of the Brazilian Amazon</title>
<link>http://maps.grida.no/go/graphic/emissions-of-the-brazilian-amazon</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Brazil has been recognized as the fifth highest emitter of greenhouse gasses in the world, and is also the highest emitter within the Latin American and Caribbean region. This high level of emission is first and foremost due land use changes within the country. In 2005, forest and grassland conversion was responsible for emitting more than one billion of metric tons of CO2 equivalent (MtCO2-e) in the Brazilian Amazon.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-of-the-brazilian-amazon_thumbnail_006.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>261</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Brazil has been recognized as the fifth highest emitter of greenhouse gasses in the world, and is also the highest emitter within the Latin American and Caribbean region. This high level of emission is first and foremost due land use changes within the country. In 2005, forest and grassland conversion was responsible for emitting more than one billion of metric tons of CO2 equivalent (MtCO2-e) in the Brazilian Amazon.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-of-the-brazilian-amazon_009.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7A6A110F-BA7E-10CE-16F9-14DD093E3732</guid>
<g:label>geolameric</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Cerri C. et al. 2009. Brazilian GHG emissions: the importance of agriculture and livestock, Scientia Agricola.</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions per GDP in Latin America and the Caribbean, 2005 (excludes land use change)</title>
<link>http://maps.grida.no/go/graphic/emissions-per-gdp-in-latin-america-and-the-caribbean-2005-excludes-land-use-change</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal) </mapsgrida:designer>
<description>Evidence at international level shows a positive, although not a linear, relation between GHG emissions and the trajectory of the gross domestic product (GDP). There is a strong heterogeneity in the ratio of emissions to GDP (excluding land use change) among the countries of Latin America and the Caribbean, with Guyana and Bolivia standing as those countries with the highest levels of emissions per US$ 1 million of GDP produced.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-per-gdp-in-latin-america-and-the-caribbean-2005-excludes-land-use-change_thumbnail_008.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>93</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal) </g:author>
<mapsgrida:descriptionnonhtml>Evidence at international level shows a positive, although not a linear, relation between GHG emissions and the trajectory of the gross domestic product (GDP). There is a strong heterogeneity in the ratio of emissions to GDP (excluding land use change) among the countries of Latin America and the Caribbean, with Guyana and Bolivia standing as those countries with the highest levels of emissions per US$ 1 million of GDP produced.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-per-gdp-in-latin-america-and-the-caribbean-2005-excludes-land-use-change_011.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B14ED47A-184B-13C5-80BC-F8A1476A1137</guid>
<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal) </dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ECLAC on the basis of Climate Analysis Indicators Tool (CAIT)
Version 7.0. (Washington, DC: World Resources Institute, 2010).</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions per GDP in Latin America and the Caribbean, 2005 (includes land use change)</title>
<link>http://maps.grida.no/go/graphic/emissions-per-gdp-in-latin-america-and-the-caribbean-2005-includes-land-use-change</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal)</mapsgrida:designer>
<description>A strong heterogeneity in the ratio emission to GDP, including the land use change, is observed among the countries of the region. Brazil, Uruguay, Paraguay and Bolivia stand out because of the importance of emissions related to agriculture, forestry and other land uses (AFOLU).</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-per-gdp-in-latin-america-and-the-caribbean-2005-includes-land-use-change_thumbnail_008.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>95</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal)</g:author>
<mapsgrida:descriptionnonhtml>A strong heterogeneity in the ratio emission to GDP, including the land use change, is observed among the countries of the region. Brazil, Uruguay, Paraguay and Bolivia stand out because of the importance of emissions related to agriculture, forestry and other land uses (AFOLU).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-per-gdp-in-latin-america-and-the-caribbean-2005-includes-land-use-change_010.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FCAAA5BA-8D7F-DCF3-85A3-906FDD123A2F</guid>
<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal)</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ECLAC on the basis of Climate Analysis Indicators Tool (CAIT)
Version 7.0. (Washington, DC: World Resources Institute, 2010).</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions per GDP, 2005 (excludes land use change)</title>
<link>http://maps.grida.no/go/graphic/emissions-per-gdp-2005-excludes-land-use-change</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal)</mapsgrida:designer>
<description>Examining CO2 emissions in 2005, excluding those associated with land use changes, it can be seen that the Latin American and Caribbean region has a higher level of emissions per US$ million of GDP (598 tonnes of CO2 equivalent per US$ 1 million) than the OECD countries (468 tonnes of CO2 equivalent per US$ 1 million), but less than the world average (652 tonnes of CO2 equivalent per US$ 1 million).</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-per-gdp-2005-excludes-land-use-change_thumbnail_008.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>280</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal)</g:author>
<mapsgrida:descriptionnonhtml>Examining CO2 emissions in 2005, excluding those associated with land use changes, it can be seen that the Latin American and Caribbean region has a higher level of emissions per US$ million of GDP (598 tonnes of CO2 equivalent per US$ 1 million) than the OECD countries (468 tonnes of CO2 equivalent per US$ 1 million), but less than the world average (652 tonnes of CO2 equivalent per US$ 1 million).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-per-gdp-2005-excludes-land-use-change_011.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1484D3CB-903A-E24D-3EEE-D314F6F61540</guid>
<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal)</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ECLAC on the basis of Climate Analysis Indicators Tool (CAIT)
Version 7.0. (Washington, DC: World Resources Institute, 2010).</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Emissions per GDP, 2005 (includes land use change)</title>
<link>http://maps.grida.no/go/graphic/emissions-per-gdp-2005-includes-land-use-change</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal)</mapsgrida:designer>
<description>Taking into account total CO2 emissions, including those associated with and use changes, the Latin American and Caribbean region rates poorly compared to other regions with regard to emissions of CO2 equivalent per US$ million of GDP produced. Latin America emits 1,152 tonnes of CO2 equivalent per US$ 1 million, compared to 481 tonnes of CO2 equivalent per US$ 1 million emitted by the OECD countries. This indicates that for each US$ million of GDP, Latin America and the Caribbean is emitting more CO2 equivalent than the OECD.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/emissions-per-gdp-2005-includes-land-use-change_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>259</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal)</g:author>
<mapsgrida:descriptionnonhtml>Taking into account total CO2 emissions, including those associated with and use changes, the Latin American and Caribbean region rates poorly compared to other regions with regard to emissions of CO2 equivalent per US$ million of GDP produced. Latin America emits 1,152 tonnes of CO2 equivalent per US$ 1 million, compared to 481 tonnes of CO2 equivalent per US$ 1 million emitted by the OECD countries. This indicates that for each US$ million of GDP, Latin America and the Caribbean is emitting more CO2 equivalent than the OECD.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/emissions-per-gdp-2005-includes-land-use-change_010.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/104DBC51-AF04-6ADB-9A39-9A6969ED1B93</guid>
<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo (Associate Consultant UNEP/GRID-Arendal)</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ECLAC on the basis of Climate Analysis Indicators Tool (CAIT)
Version 7.0. (Washington, DC: World Resources Institute, 2010).</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Employment in the travel and tourism industry in Africa</title>
<link>http://maps.grida.no/go/graphic/employment-in-the-travel-and-tourism-industry-in-africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>About 6.3 million people work in the travel and tourism industry in Africa, where tourism is highly dependent on natural and cultural environment. However, since travel &amp; tourism touches all sectors of the economy, its real impact is even greater.</description>
<pubDate>Mon, 06 Oct 2008 16:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/employment-in-the-travel-and-tourism-industry-in-africa_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>100</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>105</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>About 6.3 million people work in the travel and tourism industry in Africa, where tourism is highly dependent on natural and cultural environment. However, since travel &amp; tourism touches all sectors of the economy, its real impact is even greater.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/employment-in-the-travel-and-tourism-industry-in-africa_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9E58AE59-C95F-116C-F015-141A98B9C445</guid>
<g:label>geoafrica</g:label>
<g:label>tourism</g:label>
<g:label>ecotourism</g:label>
<g:label>pro-poor growth</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Travel &amp; Tourism Council. 2006. Travel &amp; Tourism Climbing to New Heights – League Tables. http://wttc.org/tsa1.htm (accessed October 2, 2006)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>En Europe, le nombre d'espèces d'oiseaux champêtres a connu une forte baisse au cours des dernières décennies, essentiellement du fait de l'intensification agricole </title>
<link>http://maps.grida.no/go/graphic/en-europe-le-nombre-d-esp-ces-d-oiseaux-champ-tres-a-connu-une-forte-baisse-au-cours-des-derni-res-d</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Gregory, R. 2009. “Data for European common farmland birds”. January 14, 2009, personal e-mail (January 14, 2009)</description>
<pubDate>Mon, 08 Jun 2009 18:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/en-europe-le-nombre-d-esp-ces-d-oiseaux-champ-tres-a-connu-une-forte-baisse-au-cours-des-derni-res-d_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>215</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Gregory, R. 2009. “Data for European common farmland birds”. January 14, 2009, personal e-mail (January 14, 2009)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/en-europe-le-nombre-d-esp-ces-d-oiseaux-champ-tres-a-connu-une-forte-baisse-au-cours-des-derni-res-d_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BDFB6FF7-F9A5-A93E-0783-BE4E1551536F</guid>
<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Société royale pour la protection des oiseaux (RSPB), Conseil européen pour le recensement des oiseaux (EBCC) et Programme paneuropéen de surveillance des oiseaux communs (PECBMS)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Endangered species in the black sea region </title>
<link>http://maps.grida.no/go/graphic/endangered_species_in_the_black_sea_region_giwa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:13 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/endangered_species_in_the_black_sea_region_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>167</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/endangered_species_in_the_black_sea_region_giwa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/72A60A4B-20E6-466E-95D5-81BA110CCB84</guid>
<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>biodiversity</g:label>
<g:label>endangered species</g:label>
<g:label>wildlife</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Conservation Monotoring Centre (WCMC)</dc:source>
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<geo:long>34</geo:long>
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<gml:upperCorner>50 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy - environment - security interactions</title>
<link>http://maps.grida.no/go/graphic/energy-environment-security-interactions</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Recently energy demand in the region has reached and surpassed the 1991 level at the same time as the world oil prices have increased dramatically. Russia, for its part, has started a reappraisal of the political and economic costs and benefits of providing indirect energy subsidies. These factors are forcing the three countries to urgently rethink their energy supply options.</description>
<pubDate>Sat, 12 Jan 2008 18:09:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-environment-security-interactions_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>266</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Recently energy demand in the region has reached and surpassed the 1991 level at the same time as the world oil prices have increased dramatically. Russia, for its part, has started a reappraisal of the political and economic costs and benefits of providing indirect energy subsidies. These factors are forcing the three countries to urgently rethink their energy supply options.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-environment-security-interactions_001.jpg</g:image_link>
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<g:label>environment and security</g:label>
<g:label>conflict</g:label>
<g:label>energy</g:label>
<g:label>economy</g:label>
<g:label>socialimpacts</g:label>
<dc:contributor>Viktor Novikov, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
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<geo:long>28.5</geo:long>
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<gml:upperCorner>81 35</gml:upperCorner>
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</georss:where>
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<item>
<title>Energy consumption and CO2 emissions from building</title>
<link>http://maps.grida.no/go/graphic/energy-consumption-and-co2-emissions-from-building1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Energy consumption for heating and hot water Kilowatt hour per square metre per year
CO2 emissions depending on the energy used for heating and hot water, for a 100 square metre dwelling Kilograms of carbon equivalent per year</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-consumption-and-co2-emissions-from-building_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>299</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Energy consumption for heating and hot water Kilowatt hour per square metre per year
CO2 emissions depending on the energy used for heating and hot water, for a 100 square metre dwelling Kilograms of carbon equivalent per year</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-consumption-and-co2-emissions-from-building_003.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Cécile Marin, Atlas Environnement du Monde Diplomatique, 2007; La Maison écologique, n° 37, February-March 2007; Effinergie; Minergie; Passivhaus; Ademe.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy consumption and CO2 emissions from building</title>
<link>http://maps.grida.no/go/graphic/energy-consumption-and-co2-emissions-from-building</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Energy consumption for heating and hot water, CO2 emissions depending on the energy used for heating and hot water, for a 100 square metre dwelling.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-consumption-and-co2-emissions-from-building_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>290</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Energy consumption for heating and hot water, CO2 emissions depending on the energy used for heating and hot water, for a 100 square metre dwelling.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-consumption-and-co2-emissions-from-building_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/91A8D545-11FD-951C-3F17-E5AD6453E5CC</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Cécile Marin, Atlas Environnement du Monde Diplomatique, 2007; La Maison écologique, no 37, February-March 2007; Effinergie; Minergie; Passivhaus; Ademe.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy consumption by usage in a building</title>
<link>http://maps.grida.no/go/graphic/energy-consumption-by-usage-in-a-building</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Buildings (residential and commercial) account for 10 to 15% of all greenhouse gas emissions, including almost 70% carbon dioxide and 25% methane.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-consumption-by-usage-in-a-building_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>293</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Buildings (residential and commercial) account for 10 to 15% of all greenhouse gas emissions, including almost 70% carbon dioxide and 25% methane.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-consumption-by-usage-in-a-building.jpg</g:image_link>
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<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP, Buildings and Climate Change, Status, Challenges and Opportunities, 2007 (primary sources: Al-Sayed Omar Assem and Al-Ragom, 2005; CMIE, 2001; Sustainable Energy Authority Victoria, 2004; U.S Department of Energy, 2006, Office of Energy Efficiency; Natural Resources Canada, 2006).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy consumption by usage in a building</title>
<link>http://maps.grida.no/go/graphic/energy-consumption-by-usage-in-a-building1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Buildings (residential and commercial) account for 10 to 15% of all greenhouse gas emissions, including almost 70% carbon dioxide and 25% methane.</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-consumption-by-usage-in-a-building_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>311</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Buildings (residential and commercial) account for 10 to 15% of all greenhouse gas emissions, including almost 70% carbon dioxide and 25% methane.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-consumption-by-usage-in-a-building_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP, Buildings and Climate Change, Status, Challenges and Opportunities, 2007 (primary sources: Al-Sayed Omar Assem and Al-Ragom, 2005; CMIE, 2001; Sustainable Energy Authority Victoria, 2004; U.S. Department of Energy, 2006, Office of Energy Efficiency; Natural Resources Canada, 2006).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy consumption in Central Asia</title>
<link>http://maps.grida.no/go/graphic/energy-consumption-in-central-asia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Industry in Central Asia consumes two hundred to three hundred more energy than in Western Europe. The levels of productivity based on consumption of electricity and gross domestic product is noticeably lower in Central Asia with Kazakhstan, Turkmenistan and Uzbekistan being the worst at energy consumption. </description>
<pubDate>Wed, 15 Feb 2006 19:29:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_energy_consumption_in_central_asia_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>314</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Industry in Central Asia consumes two hundred to three hundred more energy than in Western Europe. The levels of productivity based on consumption of electricity and gross domestic product is noticeably lower in Central Asia with Kazakhstan, Turkmenistan and Uzbekistan being the worst at energy consumption. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy_consumption_in_central_asia_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14BD4BED-5065-8C9E-6FDA-54D654804C2D</guid>
<g:label>geocasia</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>GDP</g:label>
<g:label>energy</g:label>
<g:label>electricity</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Regional report assessing the implementation of Agenda 21 in Central Asian countries, UNDP Aral Sea Basin Capacity Development Project for Central Asia, Tashkent, 2001; Human Development Report 2001, Making New Technologies Work for Human Development, UNDP, New York – Oxford, Oxford University Press, 2001</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy consumption in Central Asia [Russian]</title>
<link>http://maps.grida.no/go/graphic/energy-consumption-in-central-asia-russian</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Industry in Central Asia consumes two hundred to three hundred more energy than in Western Europe. The levels of productivity based on consumption of electricity and gross domestic product is noticeably lower in Central Asia with Kazakhstan, Turkmenistan and Uzbekistan being the worst at energy consumption. In Russian.</description>
<pubDate>Wed, 15 Feb 2006 20:03:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_energy_consumption_in_central_asia_russian_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>310</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Industry in Central Asia consumes two hundred to three hundred more energy than in Western Europe. The levels of productivity based on consumption of electricity and gross domestic product is noticeably lower in Central Asia with Kazakhstan, Turkmenistan and Uzbekistan being the worst at energy consumption. In Russian.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy_consumption_in_central_asia_russian_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FF405AAE-1335-13C0-78E2-83B227E39633</guid>
<g:label>geocasia</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>GDP</g:label>
<g:label>energy</g:label>
<g:label>electricity</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Regional report assessing the implementation of Agenda 21 in Central Asian countries, UNDP Aral Sea Basin Capacity Development Project for Central Asia, Tashkent, 2001; Human Development Report 2001, Making New Technologies Work for Human Development, UNDP, New York – Oxford, Oxford University Press, 2001</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy consumption in the countries of the Balkans, 1990-2004</title>
<link>http://maps.grida.no/go/graphic/energy-consumption-in-the-countries-of-the-balkans-1990-2004</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</mapsgrida:designer>
<description>The region's political and economic instability has discouraged any substantial investment in the energy sector. Except for some places such as Kosovo, the Balkans have no fossil fuel deposits, which are significant power source on a global scale. The Balkan countries are neither big energy producers nor consumers, so the region can rely on renewable energy to cater for tomorrow’s growing electricity demand.</description>
<pubDate>Thu, 07 Feb 2008 09:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-consumption-in-the-countries-of-the-balkans-1990-2004_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>405</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</g:author>
<mapsgrida:descriptionnonhtml>The region&apos;s political and economic instability has discouraged any substantial investment in the energy sector. Except for some places such as Kosovo, the Balkans have no fossil fuel deposits, which are significant power source on a global scale. The Balkan countries are neither big energy producers nor consumers, so the region can rely on renewable energy to cater for tomorrow’s growing electricity demand.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-consumption-in-the-countries-of-the-balkans-1990-2004.jpg</g:image_link>
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<g:label>balkan</g:label>
<g:label>water</g:label>
<g:label>energy</g:label>
<g:label>economy</g:label>
<g:label>consumption</g:label>
<g:label>renewable energy</g:label>
<g:label>electricity</g:label>
<dc:contributor>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</dc:contributor>
<dc:coverage>balkan</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>International Energy Agency</dc:source>
<geo:lat>41</geo:lat>
<geo:long>19.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 13</gml:lowerCorner>
<gml:upperCorner>47 26</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy consumption per capita (2004)</title>
<link>http://maps.grida.no/go/graphic/energy_consumption_per_capita_2004</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay</mapsgrida:designer>
<description>According to current forecasts the world’s energy requirements will have risen by more than 50 per cent by 2030. Oil and natural gas will account for more than 60 per cent of the increase. During the same time period renewable energy growth is lower.</description>
<pubDate>Tue, 19 Dec 2006 14:23:23 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy_consumption_per_capita_2004_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>296</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay</g:author>
<mapsgrida:descriptionnonhtml>According to current forecasts the world’s energy requirements will have risen by more than 50 per cent by 2030. Oil and natural gas will account for more than 60 per cent of the increase. During the same time period renewable energy growth is lower.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy_consumption_per_capita_2004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5DCA1E79-1462-123B-5C5F-10FD98264083</guid>
<g:label>global</g:label>
<g:label>energy</g:label>
<g:label>consumption</g:label>
<g:label>oil</g:label>
<g:label>gas coal</g:label>
<dc:contributor>Emmanuelle Bournay</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>International Energy Agency (IEA), World Energy
Outlook 2005; US Energy Information Administration,
International Energy Annual 2004; Wikipedia.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy consumption, current and estimated trends, by region</title>
<link>http://maps.grida.no/go/graphic/energy_consumption_current_and_estimated_trends_by_region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows energy consumption of oil, coal and natural gas in various regions around the world from 1990 to 2002 and predicts future consumption until 2020.
Over the last decade developed countries have attempted to reduce the over-all energy demand.</description>
<pubDate>Wed, 03 Jan 2007 10:01:53 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy_consumption_current_and_estimated_trends_by_region_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>72</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows energy consumption of oil, coal and natural gas in various regions around the world from 1990 to 2002 and predicts future consumption until 2020.
Over the last decade developed countries have attempted to reduce the over-all energy demand.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy_consumption_current_and_estimated_trends_by_region.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/222DB0C9-8E7F-4B45-B017-55680C9690CF</guid>
<g:label>global</g:label>
<g:label>energy consumption</g:label>
<g:label>energy</g:label>
<g:label>oil</g:label>
<g:label>coal</g:label>
<g:label>natural gas</g:label>
<g:label>primary energy</g:label>
<g:label>pollution</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Energy Information Administration/International Energy Outlook 2001, based on EIA, International Energy Annual 1999, DOE/EIA-0219(99) Washington DC, Jan. 2001 and EIA, World energy projection system 2000.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy consumption, economic development and CO2 emissions; selected Latin America countries</title>
<link>http://maps.grida.no/go/graphic/energy_consumption_economic_development_and_co2_emissions_selected_latin_america_countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>As a rule of thumb, economic growth is closely related to growth in energy consumption because the more energy is used, the higher the economic growth.
However, it is possible to decouple energy consumption and economic growth to some extent.. More efficient use of energy may entail economic growth and a reduction in energy use. Energy efficiency may very well be an economic driving force. With an increasing use of sustainable energy sources, the link between energy use and greenhouse gas emissions may be decoupled as well.
The old “rule” saying that pollution is an unavoidable side effect of energy use, which again is a prerequisite for economic growth, is not valid where decision makers have a will to think differently.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy_consumption_economic_development_and_co2_emissions_selected_latin_america_countries_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>158</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>As a rule of thumb, economic growth is closely related to growth in energy consumption because the more energy is used, the higher the economic growth.
However, it is possible to decouple energy consumption and economic growth to some extent.. More efficient use of energy may entail economic growth and a reduction in energy use. Energy efficiency may very well be an economic driving force. With an increasing use of sustainable energy sources, the link between energy use and greenhouse gas emissions may be decoupled as well.
The old “rule” saying that pollution is an unavoidable side effect of energy use, which again is a prerequisite for economic growth, is not valid where decision makers have a will to think differently.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy_consumption_economic_development_and_co2_emissions_selected_latin_america_countries.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/272B4964-D7B5-4BAA-B074-098D87BA2D0A</guid>
<g:label>geolameric</g:label>
<g:label>energy</g:label>
<g:label>consumption</g:label>
<g:label>CO2</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse gases</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Resources Institute</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy cost of out-of-season vegetables</title>
<link>http://maps.grida.no/go/graphic/energy-cost-of-out-of-season-vegetables1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Oil required for production Liters per kilogram of vegetable</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-cost-of-out-of-season-vegetables_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>305</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Oil required for production Liters per kilogram of vegetable</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-cost-of-out-of-season-vegetables_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BAA52B51-AA0E-635A-7414-B00B5CBA269D</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ESU-Services Consulting (Switzerland), 2006.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy cost of out-of-season vegetables</title>
<link>http://maps.grida.no/go/graphic/energy-cost-of-out-of-season-vegetables</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Oil required for production. Displayed as annual consumption levels of litres per kilogram of vegetable.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-cost-of-out-of-season-vegetables_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>309</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Oil required for production. Displayed as annual consumption levels of litres per kilogram of vegetable.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-cost-of-out-of-season-vegetables_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D433AF3E-859D-1698-5D79-154A851524D4</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ESU-Services Consulting (Switzerland), 2006.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy cost of various construction materials</title>
<link>http://maps.grida.no/go/graphic/energy-cost-of-various-construction-materials</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Energy cost of building material range from 1 to 2800. Energy consumed measured in kilowatt hour per cubic metre for stone, sawn timber, concrete, brick, cement, PVC, steel and aluminum.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-cost-of-various-construction-materials_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>165</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Energy cost of building material range from 1 to 2800. Energy consumed measured in kilowatt hour per cubic metre for stone, sawn timber, concrete, brick, cement, PVC, steel and aluminum.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-cost-of-various-construction-materials_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/634536FB-C0CD-C706-9FC5-E45FB6BF2178</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Atlas Environnement du Monde Diplomaatique, 2007; Federation of Natural Stone Industries (SN Roc); CTBA, L'Essentiel sur le bois, 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy cost of various construction materials</title>
<link>http://maps.grida.no/go/graphic/energy-cost-of-various-construction-materials1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>CO2 emissions are not directly deducible from energy costs. Concrete for instance is a very CO2-intensive material due to the emissions from chemical processes involved in its production, despite the relatively low energy costs per cubic
metre.</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-cost-of-various-construction-materials_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>156</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>CO2 emissions are not directly deducible from energy costs. Concrete for instance is a very CO2-intensive material due to the emissions from chemical processes involved in its production, despite the relatively low energy costs per cubic
metre.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-cost-of-various-construction-materials_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/88218E7D-12D6-5BBE-9570-16AA8BABA793</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Atlas Environnement du Monde Diplomatique, 2007; Federation of Natural Stone Industries (SN Roc); CTBA, L’Essentiel sur le bois, 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy efficiency generally improves with economic growth...but greenhouse gases increase too</title>
<link>http://maps.grida.no/go/graphic/energy-efficiency-generally-improves-with-economic-growth-but-greenhouse-gases-increase-too</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In 1992 76 million people living in urban areas were exposed to air pollutant concentrations exceeding WHO guidelines. In developing countries 1.9 million people die each year because of indoor air pollution exposure and 500,000 die as a result of outdoor pollutant levels.</description>
<pubDate>Sun, 10 Feb 2008 00:08:46 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-efficiency-generally-improves-with-economic-growth-but-greenhouse-gases-increase-too_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>248</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In 1992 76 million people living in urban areas were exposed to air pollutant concentrations exceeding WHO guidelines. In developing countries 1.9 million people die each year because of indoor air pollution exposure and 500,000 die as a result of outdoor pollutant levels.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-efficiency-generally-improves-with-economic-growth-but-greenhouse-gases-increase-too.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/6C9924C0-166D-9269-BEAC-100BB5B24FA3</guid>
<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>poverty</g:label>
<g:label>energy</g:label>
<g:label>pollution</g:label>
<g:label>greenhouse gas</g:label>
<g:label>ghg</g:label>
<g:label>economy</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>A Better World for all 2000, IMF, OECD, UN and World Bank</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy intensity in Latin America and the Caribbean</title>
<link>http://maps.grida.no/go/graphic/energy-intensity-in-latin-america-and-the-caribbean</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</mapsgrida:designer>
<description>Available evidence indicates that energy intensity – the ratio between energy consumption and gross domestic product (GDP), expressed in purchasing power parity (PPP) at 2005 prices – in Latin America and the Caribbean remained almost constant in the 1980-2007 period. This shows that the region has not made the progress necessary, in terms of energy efficiency, to reduce its emissions of greenhouse gasses. The stagnation in energy-intensity levels in Latin America is probably related to the weakness of, or lack of priority in, the energy efficiency policies of the region’s countries, along with a price structure that tends to favour energy intensity and the increased energy consumption from transportation, among other factors. In 2007, energy intensity in Latin America and the Caribbean was 134 kg of oil equivalent per US$1,000 of GDP (at 2005 prices), less than either the world mean (186 kg) or the figure for the OECD countries (152 kg). Among the countries of the region, varying levels of energy intensity can be seen, with energy-intensity figures for Peru, Panama, Colombia, Uruguay, Costa Rica, the Dominican Republic, Ecuador, El Salvador and Mexico being below the regional average. In the future, these levels could become a key factor in international competitiveness.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-intensity-in-latin-america-and-the-caribbean_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>98</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Available evidence indicates that energy intensity – the ratio between energy consumption and gross domestic product (GDP), expressed in purchasing power parity (PPP) at 2005 prices – in Latin America and the Caribbean remained almost constant in the 1980-2007 period. This shows that the region has not made the progress necessary, in terms of energy efficiency, to reduce its emissions of greenhouse gasses. The stagnation in energy-intensity levels in Latin America is probably related to the weakness of, or lack of priority in, the energy efficiency policies of the region’s countries, along with a price structure that tends to favour energy intensity and the increased energy consumption from transportation, among other factors. In 2007, energy intensity in Latin America and the Caribbean was 134 kg of oil equivalent per US$1,000 of GDP (at 2005 prices), less than either the world mean (186 kg) or the figure for the OECD countries (152 kg). Among the countries of the region, varying levels of energy intensity can be seen, with energy-intensity figures for Peru, Panama, Colombia, Uruguay, Costa Rica, the Dominican Republic, Ecuador, El Salvador and Mexico being below the regional average. In the future, these levels could become a key factor in international competitiveness.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-intensity-in-latin-america-and-the-caribbean_010.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D1407EA2-14E5-F89E-A3E6-117A5D71AC25</guid>
<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank, online database, accessed in July 2010.</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy intensity of economy: Percentage growth from 1980</title>
<link>http://maps.grida.no/go/graphic/energy-intensity-of-economy-percentage-growth-from-1980</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions increase as economies and populations grow; however, there can also be an energy decoupling (relation between energy and GDP) and a decoupling of emissions and decarbonization (relation between emissions and energy consumption). In this way, an increase in per capita income is achieved with less energy consumption and reduced emissions (ECLAC, 2009). Examining an energy intensity index by region for 1980-2005, one sees that, in aggregate for Latin America and the Caribbean, there is no sustained process of energy decoupling, as occurred in other regions of the world. This is reflected in the fact that, in terms of world averages, increases in income have been accompanied by decreases in energy consumption. The trajectories for CO2 emissions and energy consumption in Latin America and the Caribbean in 1980-2005 show that there is a positive relation between these two variables, though it varies from one country to another. During the period in question, both energy consumption and CO2 emissions (excluding those associated with land use changes) grew in the region at an average annual rate that was higher than the world average. Likewise, for the same period, emissions in Latin America and the Caribbean grew at a rate somewhat lower than the increase in energy consumption, suggesting that there has been a slight process of decarbonization in the region.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-intensity-of-economy-percentage-growth-from-1980_thumbnail_009.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>276</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions increase as economies and populations grow; however, there can also be an energy decoupling (relation between energy and GDP) and a decoupling of emissions and decarbonization (relation between emissions and energy consumption). In this way, an increase in per capita income is achieved with less energy consumption and reduced emissions (ECLAC, 2009). Examining an energy intensity index by region for 1980-2005, one sees that, in aggregate for Latin America and the Caribbean, there is no sustained process of energy decoupling, as occurred in other regions of the world. This is reflected in the fact that, in terms of world averages, increases in income have been accompanied by decreases in energy consumption. The trajectories for CO2 emissions and energy consumption in Latin America and the Caribbean in 1980-2005 show that there is a positive relation between these two variables, though it varies from one country to another. During the period in question, both energy consumption and CO2 emissions (excluding those associated with land use changes) grew in the region at an average annual rate that was higher than the world average. Likewise, for the same period, emissions in Latin America and the Caribbean grew at a rate somewhat lower than the increase in energy consumption, suggesting that there has been a slight process of decarbonization in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-intensity-of-economy-percentage-growth-from-_992.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8BA48728-14D1-1836-C4DA-13BDB7978BA9</guid>
<g:label>geolameric</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Economic Commission for Latin America and the Caribbean (ECLAC) elaboration of World Bank database.</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy production waste in selected European countries</title>
<link>http://maps.grida.no/go/graphic/energy_production_waste_in_selected_european_countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Diana Rizzolio</mapsgrida:designer>
<description>Waste is a major environmental concern for the energy sector. Depending on the type of energy, the production process itself will generate substantial quantities of waste. The energy sector generates specific types of waste: waste from mining and upgrading coal and lignite (tailing); waste from oil and gas refining; combustion waste from thermal power stations; waste from air-pollution abatement devices and fi nally the components of the power station itself which must be dismantled at the end of its service life (particularly sensitive in the case of nuclear power stations).</description>
<pubDate>Tue, 19 Dec 2006 14:23:23 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy_production_waste_in_selected_european_countries_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>157</mapsgrida:thumbnailHeight>
<g:author>Diana Rizzolio</g:author>
<mapsgrida:descriptionnonhtml>Waste is a major environmental concern for the energy sector. Depending on the type of energy, the production process itself will generate substantial quantities of waste. The energy sector generates specific types of waste: waste from mining and upgrading coal and lignite (tailing); waste from oil and gas refining; combustion waste from thermal power stations; waste from air-pollution abatement devices and fi nally the components of the power station itself which must be dismantled at the end of its service life (particularly sensitive in the case of nuclear power stations).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy_production_waste_in_selected_european_countries.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/73FCB71D-116E-1031-0080-12992825C19A</guid>
<g:label>geoeurope</g:label>
<g:label>europe</g:label>
<g:label>waste</g:label>
<g:label>energy</g:label>
<g:label>poland</g:label>
<g:label>turkey</g:label>
<dc:contributor>Diana Rizzolio</dc:contributor>
<dc:coverage>geoeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EIONET, European Topic Centre on Resource and Waste Management, 2006 (figures for 2002)</dc:source>
<geo:lat>59.2</geo:lat>
<geo:long>3.89</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>33.19 -27.72</gml:lowerCorner>
<gml:upperCorner>85.21 35.5</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy production, consumption and export - Kazakhstan and Azerbaijan</title>
<link>http://maps.grida.no/go/graphic/energy-production-consumption-and-export-kazakhstan-and-azerbaijan</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The land-based activities of the oil and gas industry in Kazakhstan and Azerbaijan have had a much more severe impact on the environment than marine activity. In particular the growth in hydrocarbon-related activity has destroyed the environmental balance of whole areas throughout the region.</description>
<pubDate>Sat, 08 Mar 2008 17:38:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-production-consumption-and-export-kazakhstan-and-azerbaijan_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>286</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The land-based activities of the oil and gas industry in Kazakhstan and Azerbaijan have had a much more severe impact on the environment than marine activity. In particular the growth in hydrocarbon-related activity has destroyed the environmental balance of whole areas throughout the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-production-consumption-and-export-kazakhstan-and-azerbaijan.jpg</g:image_link>
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<g:label>caspianregion</g:label>
<g:label>oil production</g:label>
<g:label>energy</g:label>
<g:label>pollution</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caspianregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Energy Information Administration (EIA) , Washington</dc:source>
<geo:lat>42.5</geo:lat>
<geo:long>55</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>30 40</gml:lowerCorner>
<gml:upperCorner>55 70</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy resources, production and transportation</title>
<link>http://maps.grida.no/go/graphic/energy-resources-production-and-transportation</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Energy is vital for the internal and external security of all three countries (see figure). A secure, affordable domestic energy supply is critical to economic development, particularly in energy hungry industrial sectors. It is also essential to meet social needs (heating, transportation, etc.) especially for vulnerable groups.</description>
<pubDate>Sat, 12 Jan 2008 18:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-resources-production-and-transportation_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>324</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Energy is vital for the internal and external security of all three countries (see figure). A secure, affordable domestic energy supply is critical to economic development, particularly in energy hungry industrial sectors. It is also essential to meet social needs (heating, transportation, etc.) especially for vulnerable groups.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-resources-production-and-transportation_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/DCF1EBFC-141F-8B60-59EA-B8E788DEAC0B</guid>
<g:label>geoeeurope</g:label>
<g:label>environment and security</g:label>
<g:label>conflict</g:label>
<g:label>energy</g:label>
<g:label>transportation</g:label>
<g:label>economy</g:label>
<g:label>gas</g:label>
<g:label>oil</g:label>
<g:label>nuclear energy</g:label>
<dc:contributor>Viktor Novikov, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>INCOTEC. Oil, gas and product pipelines of Russia and nearby states and Atlas. Fuel-energy complex of Russia XXI. Moscow 2006; Lecarpentier A. Underground gas storage in the world, CEDIGAZ, 2006; Belarus State University. Atlas of Belarus Geography. Minsk 2005; State Committee for Land Resources, Geodesy and Cartography. National Atlas of Belarus. Minsk 2002; Botnaru V. and O. Kazantseva. Republic of Moldova. Atlas. Chisinau 2005; State Committee for Natural Resources. Integrated Atlas of Ukraine. Kyiv 2005. ENVSEC consultations 2006-7.</dc:source>
<geo:lat>59.5</geo:lat>
<geo:long>28.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>38 22</gml:lowerCorner>
<gml:upperCorner>81 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Energy supply in Latin America</title>
<link>http://maps.grida.no/go/graphic/energy-supply-in-latin-america</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Although 70% of South America’s electricity comes from hydroelectric sources, the situation in Central America and the Caribbean is quite different. In these two regions electric-power generation rely predominantly on fossil fuels. For Latin America and the Caribbean overall, fossil fuels (primarily oil and natural gas) continued to be the most important source (76%) for producing energy in the year 2007. Of the energy produced in the region, only 23.1% comes from renewable sources, primarily water, sustainable fuelwood and sugarcane products. </description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/energy-supply-in-latin-america_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>124</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Although 70% of South America’s electricity comes from hydroelectric sources, the situation in Central America and the Caribbean is quite different. In these two regions electric-power generation rely predominantly on fossil fuels. For Latin America and the Caribbean overall, fossil fuels (primarily oil and natural gas) continued to be the most important source (76%) for producing energy in the year 2007. Of the energy produced in the region, only 23.1% comes from renewable sources, primarily water, sustainable fuelwood and sugarcane products. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/energy-supply-in-latin-america_010.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BDFD2A9F-6045-17A1-EE81-12A9596E73FC</guid>
<g:label>geolameric</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UN and ECLAC, on OLADE statistical information database, 2007.</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>ENSO impact on Southern Africa</title>
<link>http://maps.grida.no/go/graphic/enso_impact_on_southern_africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Delphine Digout, UNEP/GRID-Arendal</mapsgrida:designer>
<description>El Niño describes 'the warm phase of a naturally occurring sea surface temperature oscillation in the tropical Pacific Ocean', southern oscillation refers to 'a seesaw shift in surface air pressure at Darwin, Australia and the South Pacific Island of Tahiti' amd La Nina refers to the cooling phase of the same temperature oscillation that causes El Nino. This graphic shows how the El Nino phenomenon changed weather conditions in southern Africa in 1997-1998, and how the La Nina phenomenon changed weather conditions in the region in 1999-2000. The phenomena can cause dry and warm conditions in some areas and wet and cool conditions in others.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/enso_impact_on_southern_africa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>162</mapsgrida:thumbnailHeight>
<g:author>Delphine Digout, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>El Niño describes &apos;the warm phase of a naturally occurring sea surface temperature oscillation in the tropical Pacific Ocean&apos;, southern oscillation refers to &apos;a seesaw shift in surface air pressure at Darwin, Australia and the South Pacific Island of Tahiti&apos; amd La Nina refers to the cooling phase of the same temperature oscillation that causes El Nino. This graphic shows how the El Nino phenomenon changed weather conditions in southern Africa in 1997-1998, and how the La Nina phenomenon changed weather conditions in the region in 1999-2000. The phenomena can cause dry and warm conditions in some areas and wet and cool conditions in others.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/enso_impact_on_southern_africa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1E735855-2B48-4569-9EF8-F27F8D42A883</guid>
<g:label>geosafrica</g:label>
<g:label>sea surface temperature</g:label>
<g:label>sea level pressure</g:label>
<g:label>temperature anomaly</g:label>
<g:label>temperature fluctuation</g:label>
<g:label>climate change</g:label>
<g:label>el nino</g:label>
<g:label>enso</g:label>
<dc:contributor>Delphine Digout, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geosafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Climate Prediction Center (CPC), National Centers for Environmental Prediction (NCEP); National Oceanic and Atmospheric Administration (NOAA).</dc:source>
<geo:lat>-20</geo:lat>
<geo:long>36</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-35 7</gml:lowerCorner>
<gml:upperCorner>-5 65</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment and Security Initiative : Today`s priorities and future challenges</title>
<link>http://maps.grida.no/go/graphic/environment-and-security-initiative-today-s-priorities-and-future-challenges</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov and Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The pilot phase of the initiative in 2003 assessed environmental threats in Central Asia and South –Eastern Europe, two regions where environmental concerns have clear security implications. The Southern Caucasus joined in 2004. Eastern Europe and the Circumpolar Arctic will be included in 2005-2006. In each region work stats by identifying, through consultation with national and regional stakeholders, priority environment and security issues and situations. </description>
<pubDate>Thu, 16 Mar 2006 14:53:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environment-and-security-initiative-today-s-priorities-and-future-challenges_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>277</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov and Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The pilot phase of the initiative in 2003 assessed environmental threats in Central Asia and South –Eastern Europe, two regions where environmental concerns have clear security implications. The Southern Caucasus joined in 2004. Eastern Europe and the Circumpolar Arctic will be included in 2005-2006. In each region work stats by identifying, through consultation with national and regional stakeholders, priority environment and security issues and situations. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment-and-security-initiative-today-s-priorities-and-future-challenges.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13188881-FB59-84F5-159C-8D8A008EF116</guid>
<g:label>geoeuras</g:label>
<g:label>Security</g:label>
<g:label>ferghana</g:label>
<g:label>Central asia</g:label>
<g:label>politics</g:label>
<g:label>ecomomy</g:label>
<g:label>environment</g:label>
<dc:contributor>Viktor Novikov and Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeuras</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>44.5</geo:lat>
<geo:long>33</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>4 -27</gml:lowerCorner>
<gml:upperCorner>85 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment and security issues in Belarus and Ukraine</title>
<link>http://maps.grida.no/go/graphic/environment-and-security-issues-in-belarus-and-ukraine</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Concept of National Security of Belarus focuses on both external and internal security issues. It directly refers to environmental problems such as global climate change, trans-boundary transport of pollution and the risk of serious accidents at industrial facilities located in Belarus and other countries close to Belarus borders, land degradation and radioactive contamination resulting from the Chernobyl.</description>
<pubDate>Sat, 12 Jan 2008 16:50:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environment-and-security-issues-in-belarus-and-ukraine_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>341</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Concept of National Security of Belarus focuses on both external and internal security issues. It directly refers to environmental problems such as global climate change, trans-boundary transport of pollution and the risk of serious accidents at industrial facilities located in Belarus and other countries close to Belarus borders, land degradation and radioactive contamination resulting from the Chernobyl.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment-and-security-issues-in-belarus-and-ukraine_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14DA25BD-A58B-15A5-F658-C75518EAD2D5</guid>
<g:label>geoeeurope</g:label>
<g:label>environment and security</g:label>
<g:label>conflict</g:label>
<g:label>ethnic disputes</g:label>
<g:label>environmental damage</g:label>
<g:label>water</g:label>
<g:label>nuclear</g:label>
<g:label>energy</g:label>
<g:label>pollution</g:label>
<dc:contributor>Viktor Novikov, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Belarus State University. Atlas of Belarus Geography. Minsk 2005; State Committee for Land Resources, Geodesy and Cartography. National Atlas of Belarus. Minsk 2002; Shevchuk V.E. and V.L. Gurashevsky (eds.) 20 Years after the Chernobyl Catastrophe. National Report. Minsk 2006. Baloga V.I. (ed.) 20 Years after Chornobyl Catastrophe. National report of Ukraine. Kyiv 2006; ENVSEC consultations 2006-7.</dc:source>
<geo:lat>59.5</geo:lat>
<geo:long>28.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>38 22</gml:lowerCorner>
<gml:upperCorner>81 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment and security issues in Moldova</title>
<link>http://maps.grida.no/go/graphic/environment-and-security-issues-in-moldova</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Since water resources are of particular importance to Moldova, water pollution is viewed as a nationally significant threat. Moldova does not have large lakes, and all its larger rivers originate outside its borders. there are many other issues facing Moldova's environment and security future.</description>
<pubDate>Sat, 12 Jan 2008 18:46:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environment-and-security-issues-in-moldova_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>328</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Since water resources are of particular importance to Moldova, water pollution is viewed as a nationally significant threat. Moldova does not have large lakes, and all its larger rivers originate outside its borders. there are many other issues facing Moldova&apos;s environment and security future.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment-and-security-issues-in-moldova_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F0814BEC-1305-1121-0BAE-10C71D255081</guid>
<g:label>geoeeurope</g:label>
<g:label>environment and security</g:label>
<g:label>conflict</g:label>
<g:label>energy</g:label>
<g:label>environmental damage</g:label>
<g:label>pollution</g:label>
<g:label>water</g:label>
<g:label>nuclear</g:label>
<dc:contributor>Viktor Novikov, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Botnaru V. and O. Kazantseva. Republic of Moldova. Atlas. Chisinau 2005; World Bank and GEF. The Republic of Moldova. Ecological state and The Republic of Moldova. Persistent organic pollutants. Chisinau, 2004; Institute of Geography of the Academy of Sciences of Moldova, Chisinau; Bureau of Environmental Investigation, Lviv; ENVSEC consultations 2006-7.</dc:source>
<geo:lat>59.5</geo:lat>
<geo:long>28.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>38 22</gml:lowerCorner>
<gml:upperCorner>81 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment and security issues in Ukraine</title>
<link>http://maps.grida.no/go/graphic/environment-and-security-issues-in-ukraine</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Compared to its neighbours, Ukraine has a very low Environmental Sustainability Index (ESI) (ranking 108 out of 146 countries; Esty et al. 2005). This is primarily due to the high energy and pollution-intensity of its industry, pressure on ecosystems due to intensive agriculture, water stress on part of its territory, and insufficiently developed environmental institutions.</description>
<pubDate>Sat, 12 Jan 2008 18:36:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environment-and-security-issues-in-ukraine_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Compared to its neighbours, Ukraine has a very low Environmental Sustainability Index (ESI) (ranking 108 out of 146 countries; Esty et al. 2005). This is primarily due to the high energy and pollution-intensity of its industry, pressure on ecosystems due to intensive agriculture, water stress on part of its territory, and insufficiently developed environmental institutions.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment-and-security-issues-in-ukraine_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12A0921B-113C-AB42-0E5C-72D11AC1C80F</guid>
<g:label>geoeeurope</g:label>
<g:label>environment and security</g:label>
<g:label>conflict</g:label>
<g:label>environmental damage</g:label>
<g:label>water</g:label>
<g:label>pollution</g:label>
<g:label>nuclear</g:label>
<g:label>energy</g:label>
<dc:contributor>Viktor Novikov, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>State Committee for Natural Resources. Integrated Atlas of Ukraine. Kyiv 2005; Ministry of Environment Protection of Ukraine. On-line environmental maps (www.menr.gov.ua); Baloga V.I. (ed.) 20 Years after Chornobyl Catastrophe. National Report of Ukraine. Kyiv 2006; Shevchuk V.E. and V.L. Gurashevsky (eds.) 20 Years after the Chernobyl Catastrophe. National Report. Minsk 2006. Hats I.A., Ministry of Defence of Ukraine: in materials for the Environment and International Security round-table. Minsk 2006; Bureau of Environmental Investigation, Lviv; ENVSEC consultations 2006-7.</dc:source>
<geo:lat>59.5</geo:lat>
<geo:long>28.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>38 22</gml:lowerCorner>
<gml:upperCorner>81 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment and security priority areas in Eastern Europe</title>
<link>http://maps.grida.no/go/graphic/environment-and-security-priority-areas-in-eastern-europe</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Environmental problems often compound external security tensions and worsen internal security challenges in Eastern Europe. Of particular concern are environmental hazards concentrated along national borders (including the borders with the EU, Russia and borders between the three countries).</description>
<pubDate>Sat, 12 Jan 2008 18:18:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environment-and-security-priority-areas-in-eastern-europe_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>369</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Environmental problems often compound external security tensions and worsen internal security challenges in Eastern Europe. Of particular concern are environmental hazards concentrated along national borders (including the borders with the EU, Russia and borders between the three countries).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment-and-security-priority-areas-in-eastern-europe_001.jpg</g:image_link>
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<g:label>geoeeurope</g:label>
<g:label>environment and security</g:label>
<g:label>conflict</g:label>
<g:label>chernobyl</g:label>
<g:label>nuclear</g:label>
<g:label>environmental stress</g:label>
<g:label>border issues</g:label>
<dc:contributor>Viktor Novikov, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeeurope</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Belarus State University. Atlas of Belarus Geography. Minsk 2005; State Committee for Land Resources, Geodesy and Cartography. National Atlas of Belarus. Minsk 2002; Botnaru V. and O. Kazantseva. Republic of Moldova. Atlas. Chisinau 2005; State Committee for Natural Resources. Integrated Atlas of Ukraine. Kyiv 2005. Baloga V.I. (ed.) 20 Years after Chornobyl Catastrophe. National Report of Ukraine. Kyiv 2006; Shevchuk V.E. and V.L. Gurashevsky (eds.) 20 Years after the Chernobyl Catastrophe. National Report. Minsk 2006; Ministry of Environment Protection of Ukraine. On-line environmental maps (www.menr.gov.ua); ENVSEC consultations 2006-7.
</dc:source>
<geo:lat>59.5</geo:lat>
<geo:long>28.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>38 22</gml:lowerCorner>
<gml:upperCorner>81 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment and Security priority areas in the Ferghana Valley</title>
<link>http://maps.grida.no/go/graphic/environment-and-security-priority-areas-in-the-ferghana-valley</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Viktor Novikov and Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows an outline of the areas within the Ferghana Valley which are subjects to disputes over water resources and borders, disputes between private and collective farmers, deforestation and overuse of pasture. The map also show areas of industrial pollution and chemical risks caused by badly maintained radioactive dumps, tailing containments and several working industrial facilities.
</description>
<pubDate>Thu, 16 Mar 2006 15:07:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environment-and-security-priority-areas-in-the-ferghana-valley_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Viktor Novikov and Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows an outline of the areas within the Ferghana Valley which are subjects to disputes over water resources and borders, disputes between private and collective farmers, deforestation and overuse of pasture. The map also show areas of industrial pollution and chemical risks caused by badly maintained radioactive dumps, tailing containments and several working industrial facilities.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment-and-security-priority-areas-in-the-ferghana-valley.jpg</g:image_link>
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<g:label>ferghana</g:label>
<g:label>Security</g:label>
<g:label>ferghana</g:label>
<g:label>Central asia</g:label>
<g:label>politics</g:label>
<g:label>ecomomy</g:label>
<g:label>environment</g:label>
<g:label>water resources</g:label>
<g:label>hotspots</g:label>
<g:label>chemical waste</g:label>
<dc:contributor>Viktor Novikov and Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>ferghana</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>40.5</geo:lat>
<geo:long>70</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>39 67</gml:lowerCorner>
<gml:upperCorner>42 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment and security priority areas in the Southern Caucasus</title>
<link>http://maps.grida.no/go/graphic/environment_and_security_priority_areas_in_the_southern_caucasus1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</description>
<pubDate>Sun, 12 Mar 2006 09:25:22 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environment_and_security_priority_areas_in_the_southern_caucasus_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>228</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment_and_security_priority_areas_in_the_southern_caucasus_002.jpg</g:image_link>
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<g:label>caucasus</g:label>
<g:label>security</g:label>
<g:label>conflict</g:label>
<g:label>nis</g:label>
<g:label>cee</g:label>
<g:label>caucasus</g:label>
<g:label>soviet</g:label>
<g:label></g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caucasus</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>37</geo:lat>
<geo:long>45.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 39</gml:lowerCorner>
<gml:upperCorner>46 52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment and security priority areas in the Southern Caucasus (poster)</title>
<link>http://maps.grida.no/go/graphic/environment_and_security_priority_areas_in_the_southern_caucasus_poster</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</description>
<pubDate>Thu, 09 Mar 2006 10:16:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environment_and_security_priority_areas_in_the_southern_caucasus_poster_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>179</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment_and_security_priority_areas_in_the_southern_caucasus_poster.jpg</g:image_link>
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<g:label>caucasus</g:label>
<g:label>security</g:label>
<g:label>conflict</g:label>
<g:label>nis</g:label>
<g:label>cee</g:label>
<g:label>caucausus</g:label>
<g:label>soviet</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caucasus</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EnvSec Initiative and partners (OSCE, NATO, UNDP and UNEP)</dc:source>
<geo:lat>37</geo:lat>
<geo:long>45.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 39</gml:lowerCorner>
<gml:upperCorner>46 52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment and security priority areas in the Southern Caucasus (poster) [Russian]</title>
<link>http://maps.grida.no/go/graphic/environment_and_security_priority_areas_in_the_southern_caucasus_poster_russian</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</description>
<pubDate>Mon, 17 Apr 2006 09:53:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environment_and_security_priority_areas_in_the_southern_caucasus_poster_russian_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>157</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment_and_security_priority_areas_in_the_southern_caucasus_poster_russian.jpg</g:image_link>
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<g:label>caucasus</g:label>
<g:label>security</g:label>
<g:label>conflict</g:label>
<g:label>nis</g:label>
<g:label>cee</g:label>
<g:label>caucausus</g:label>
<g:label>soviet</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caucasus</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EnvSec Initiative and partners (OSCE, NATO, UNDP and UNEP)</dc:source>
<geo:lat>37</geo:lat>
<geo:long>45.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 39</gml:lowerCorner>
<gml:upperCorner>46 52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment and security priority areas in the Southern Caucasus [Russian]</title>
<link>http://maps.grida.no/go/graphic/environment_and_security_priority_areas_in_the_southern_caucasus_russian</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</description>
<pubDate>Sun, 12 Mar 2006 09:25:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environment_and_security_priority_areas_in_the_southern_caucasus_russian_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>228</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment_and_security_priority_areas_in_the_southern_caucasus_russian.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/6055356F-F48A-4362-B1B9-373E5E9FCBE5</guid>
<g:label>caucasus</g:label>
<g:label>security</g:label>
<g:label>conflict</g:label>
<g:label>nis</g:label>
<g:label>cee</g:label>
<g:label>caucausus</g:label>
<g:label>soviet</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caucasus</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Various</dc:source>
<geo:lat>37</geo:lat>
<geo:long>45.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 39</gml:lowerCorner>
<gml:upperCorner>46 52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment in Central Asia</title>
<link>http://maps.grida.no/go/graphic/environment-in-central-asia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>There are 25 billion tonnes of waste just from mining and metal production in Central Asia. The most effected areas are highlighted based on a variety of different types of environmental damage such as desertification and wind erosion.</description>
<pubDate>Wed, 15 Feb 2006 19:37:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_environment_in_central_asia_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>328</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>There are 25 billion tonnes of waste just from mining and metal production in Central Asia. The most effected areas are highlighted based on a variety of different types of environmental damage such as desertification and wind erosion.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment_in_central_asia_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8A663C62-129C-9D8A-3DCC-D7FF064BACB0</guid>
<g:label>geocasia</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>desertification</g:label>
<g:label>wind erosion</g:label>
<g:label>salinisation</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>CARINFONET: Health of Population and Health Care in Central Asian Republics, WHO Information Center on Health for CAR, Bishkek, 2000</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environment in Central Asia [Russian]</title>
<link>http://maps.grida.no/go/graphic/environment-in-central-asia-russian</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>There are 25 billion tonnes of waste just from mining and metal production in Central Asia. The most effected areas are highlighted based on a variety of different types of environmental damage such as desertification and wind erosion. In Russian.</description>
<pubDate>Wed, 15 Feb 2006 20:11:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_environment_in_central_asia_russian_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>318</mapsgrida:thumbnailHeight>
<g:author>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>There are 25 billion tonnes of waste just from mining and metal production in Central Asia. The most effected areas are highlighted based on a variety of different types of environmental damage such as desertification and wind erosion. In Russian.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environment_in_central_asia_russian_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C2A596A3-14C5-10A1-3239-5C63A989B164</guid>
<g:label>geocasia</g:label>
<g:label>Aral Sea</g:label>
<g:label>Central Asia</g:label>
<g:label>environment</g:label>
<g:label>climate change</g:label>
<g:label>politics</g:label>
<g:label>calendar</g:label>
<g:label>desertification</g:label>
<g:label>wind erosion</g:label>
<g:label>salinisation</g:label>
<dc:contributor>I. Atamuradova, V. Yemelin, P. Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geocasia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>CARINFONET: Health of Population and Health Care in Central Asian Republics, WHO Information Center on Health for CAR, Bishkek, 2000</dc:source>
<geo:lat>45</geo:lat>
<geo:long>69.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 46</gml:lowerCorner>
<gml:upperCorner>55 93</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environmental policy responses</title>
<link>http://maps.grida.no/go/graphic/environmental-policy-responses</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic shows the general responses to the need for policy from region to region around the world. The trend looks optimistic that many different types and level of policies are being implemented in most areas of the world. Please note that this graphic is outdated.</description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environmental-policy-responses_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic shows the general responses to the need for policy from region to region around the world. The trend looks optimistic that many different types and level of policies are being implemented in most areas of the world. Please note that this graphic is outdated.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environmental-policy-responses.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/0BE3F1DA-E294-42F0-8647-34B857362FEC</guid>
<g:label>global</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP, 1997</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environmental threats in the Barents Region</title>
<link>http://maps.grida.no/go/graphic/environmental_threats_in_the_barents_region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. This map indicates the political boundaries and economic areas in the region. More importantly it shows where environmental dangers are located and the level of grazing on pastoral lands. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environmental_threats_in_the_barents_region_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>183</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. This map indicates the political boundaries and economic areas in the region. More importantly it shows where environmental dangers are located and the level of grazing on pastoral lands. (Please note that the The Barents Euro-Arctic Council has expanded the membership since 1998)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environmental_threats_in_the_barents_region_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/23B54AD8-E596-4512-87CD-4C22A3BC95AF</guid>
<g:label>barentsregion</g:label>
<g:label>Arctic</g:label>
<g:label>Barents</g:label>
<g:label>Pollution</g:label>
<g:label>Mining activities</g:label>
<g:label>Nuclear waste</g:label>
<g:label>Radioactivity Pollution</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentsregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Bellona (Norway), Ministry of Environment of Norway, Sweden and Finland and various sources compiled by the author.</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>39</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 5</gml:lowerCorner>
<gml:upperCorner>85 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environmental trends Nordic countries ( I )</title>
<link>http://maps.grida.no/go/graphic/environmental_trends_nordic_countries_i</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows environmental trends in Nordic countries (I). It describes negative and postive developments in different areas such as climate change, emissions of CO2, Ozone layer depletion and emissions of various other direct or indirect greenhouse gases. </description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivenc05_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows environmental trends in Nordic countries (I). It describes negative and postive developments in different areas such as climate change, emissions of CO2, Ozone layer depletion and emissions of various other direct or indirect greenhouse gases. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivenc05_l.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7B243273-B1E1-4D9A-8316-B90AB515DD06</guid>
<g:label>nordic</g:label>
<g:label>Hot spots</g:label>
<g:label>Trends</g:label>
<g:label>climate change</g:label>
<g:label>pollution</g:label>
<g:label>emissions</g:label>
<g:label>atmosphere</g:label>
<g:label>greenhouse gas</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Nordic councils of Ministers, 1997</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environmental trends Nordic countries ( II )</title>
<link>http://maps.grida.no/go/graphic/environmental_trends_nordic_countries_ii</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows environmental trends in Nordic countries (II). The graph demonstrates negative and positive environmental developments in areas such as marine water and discharges of Nitrogen, fresh water resources, and inland water. </description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivenc06_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows environmental trends in Nordic countries (II). The graph demonstrates negative and positive environmental developments in areas such as marine water and discharges of Nitrogen, fresh water resources, and inland water. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivenc06_l.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14ECDD6F-20FE-44BA-A916-FB7FB1580148</guid>
<g:label>nordic</g:label>
<g:label>Hot spots</g:label>
<g:label>Trends</g:label>
<g:label>climate change</g:label>
<g:label>pollution</g:label>
<g:label>marine water</g:label>
<g:label></g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Nordic Council of Ministers, 1997</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environmental trends Nordic countries (slide 4)</title>
<link>http://maps.grida.no/go/graphic/environmental-trends-nordic-countries-slide-4</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows environmental trends in Nordic countries part 4. It illustrates positive and negative development in Nordic countries within areas such as timber resources and agricultural land resources.</description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environmental-trends-nordic-countries-slide-4_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows environmental trends in Nordic countries part 4. It illustrates positive and negative development in Nordic countries within areas such as timber resources and agricultural land resources.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environmental-trends-nordic-countries-slide-4.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BFEFC142-6743-4A59-A731-DED7DA451791</guid>
<g:label>nordic</g:label>
<g:label>forestry</g:label>
<g:label>agriculture</g:label>
<g:label>silviculture</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Nordic Council of Ministers, 1997</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Environmental trends Nordic countries 3</title>
<link>http://maps.grida.no/go/graphic/environmental-trends-nordic-countries-3</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This illustration shows positive and negative developments in areas such as household waste per capita, urban environment Quality, biodiversity and number of private and commercial cars, see the other illustrations in this collection for more information.</description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/environmental-trends-nordic-countries-3_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This illustration shows positive and negative developments in areas such as household waste per capita, urban environment Quality, biodiversity and number of private and commercial cars, see the other illustrations in this collection for more information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/environmental-trends-nordic-countries-3.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7DE54607-CC88-4AA3-9FD8-3749DD7105F3</guid>
<g:label>nordic</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Nordic Council of Ministers, 1997</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>EPT Rollup</title>
<link>http://maps.grida.no/go/graphic/ept-rollup</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Tue, 06 Oct 2009 09:55:08 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ept-rollup_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>253</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ept-rollup_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/165BF56C-8F55-1576-3AC6-58FA20146547</guid>
<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>Poverty</g:label>
<g:label>Times</g:label>
<g:label>Green</g:label>
<g:label>Economy</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP - SEFI. Global Trends in Sustainable Energy Investment, 2009.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Eritrea, topographic map</title>
<link>http://maps.grida.no/go/graphic/eritrea_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Overview over the country of Eritrea, with topography and major cities. Eritrea, independent in 1993, is inhabited by 4.5 million people, and the capital is Asmara. Environmental issues, according to the CIA world factbook, are: deforestation; desertification; soil erosion; overgrazing; loss of infrastructure from civil warfare.</description>
<pubDate>Tue, 14 Mar 2006 18:41:41 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/eritrea_topographic_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>158</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Overview over the country of Eritrea, with topography and major cities. Eritrea, independent in 1993, is inhabited by 4.5 million people, and the capital is Asmara. Environmental issues, according to the CIA world factbook, are: deforestation; desertification; soil erosion; overgrazing; loss of infrastructure from civil warfare.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/eritrea_topographic_map_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/95059A4E-139E-D94F-A0DE-156FF89EB9DD</guid>
<g:label>ER</g:label>
<g:label>eritrea</g:label>
<g:label>horn of africa</g:label>
<g:label>east africa</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>ER</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>15.179385</geo:lat>
<geo:long>39.78233</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>12.36389 36.44328</gml:lowerCorner>
<gml:upperCorner>17.99488 43.12138</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimate of Area of Vegetation Destroyed Annually by Fire by Region</title>
<link>http://maps.grida.no/go/graphic/estimate-of-area-of-vegetation-destroyed-annually-by-fire-by-region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 21:53:42 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimate-of-area-of-vegetation-destroyed-annually-by-fire-by-region_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>94</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimate-of-area-of-vegetation-destroyed-annually-by-fire-by-region.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1463D3E2-170E-14A4-A2E3-68240F951875</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO 2006a; Global Burnt Area 2000 Project (GBA2000)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimated contributions to sea-level rise (1993-2003)</title>
<link>http://maps.grida.no/go/graphic/estimated-contributions-to-sea-level-rise-1993-2003</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The two main reasons for sea-level rise are thermal expansion of ocean waters as they warm, and increase in the ocean mass, principally from land-based sources of ice (glaciers and ice caps, and the ice sheets of Greenland and Antarctica). Global warming from increasing greenhouse gas concentrations is a significant driver of both contributions to sea-level rise. From 1955 to 1995, ocean thermal expansion is estimated to have contributed about 0.4 mm per year to sealevel rise, less than 25 per cent of the observed rise over the same period. For the 1993 to 2003 decade, when the best data are available, thermal expansion is estimated to be significantly larger, at about 1.6 mm per year for the upper 750 m of the ocean alone, about 50 per cent of the observed sea-level rise of 3.1 mm per year. Kaser and others estimate the melting of glaciers and ice caps (excluding the glaciers surrounding Greenland and Antarctica) contributed to sea-level rise by about 0.3 mm per year from 1961 to 1990 increasing to about 0.8 mm per year from 2001–2004. (uncertainity intervals in the figure are 5 to 95%)</description>
<pubDate>Fri, 22 Feb 2008 13:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimated-contributions-to-sea-level-rise-1993-2003_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>453</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The two main reasons for sea-level rise are thermal expansion of ocean waters as they warm, and increase in the ocean mass, principally from land-based sources of ice (glaciers and ice caps, and the ice sheets of Greenland and Antarctica). Global warming from increasing greenhouse gas concentrations is a significant driver of both contributions to sea-level rise. From 1955 to 1995, ocean thermal expansion is estimated to have contributed about 0.4 mm per year to sealevel rise, less than 25 per cent of the observed rise over the same period. For the 1993 to 2003 decade, when the best data are available, thermal expansion is estimated to be significantly larger, at about 1.6 mm per year for the upper 750 m of the ocean alone, about 50 per cent of the observed sea-level rise of 3.1 mm per year. Kaser and others estimate the melting of glaciers and ice caps (excluding the glaciers surrounding Greenland and Antarctica) contributed to sea-level rise by about 0.3 mm per year from 1961 to 1990 increasing to about 0.8 mm per year from 2001–2004. (uncertainity intervals in the figure are 5 to 95%)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimated-contributions-to-sea-level-rise-1993-_005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9CC9FFEC-5D57-5BAA-AEA0-5B69132F9B1D</guid>
<g:label>global</g:label>
<g:label>cryosphere</g:label>
<g:label>sea-level</g:label>
<g:label>climate change</g:label>
<g:label>climatology</g:label>
<g:label>oceans</g:label>
<g:label>marine issues</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IPCC (2007). Climate Change 2007: The Physical Science Basis. Contribution of Working Group 1 to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (eds. S. Solomon, D. Qin, M. Manning, Z. Chen, M.C. Marquis, K. Averyt, M. Tignor and H.L. Miller). Intergovernmental Panel on Climate Change, Cambridge and New York</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimated deaths attributable to climate change, 2000</title>
<link>http://maps.grida.no/go/graphic/estimated-deaths-attributable-to-climate-change-2000</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</mapsgrida:designer>
<description>The extent to which mortality is attributable to climate change remains a matter of intense debate. Data from the World Health Organization (WHO) for 2000 indicate that, in Latin America and the Caribbean, there were between 2 and 40 deaths per million inhabitants from floods, malaria and diarrhoea. In terms of regions, the most severe health effects have been in Africa, though significant effects are also being felt in Latin America and in certain parts of Asia. This difficult situation has a major economic impact on the health systems of the countries of these regions.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimated-deaths-attributable-to-climate-change-2000_thumbnail_005.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>126</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The extent to which mortality is attributable to climate change remains a matter of intense debate. Data from the World Health Organization (WHO) for 2000 indicate that, in Latin America and the Caribbean, there were between 2 and 40 deaths per million inhabitants from floods, malaria and diarrhoea. In terms of regions, the most severe health effects have been in Africa, though significant effects are also being felt in Latin America and in certain parts of Asia. This difficult situation has a major economic impact on the health systems of the countries of these regions.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimated-deaths-attributable-to-climate-change-_007.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/16F5ECC0-EE62-1198-F52D-756F37DD0320</guid>
<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Economic Commission for Latin America and the Caribbean (ECLAC). 2009. Climate Change and development in Latin America and the Caribbean. Overview 2009, on the basis of WHO, Climate Change and Human Health. Risks and Responses. Summary, 2003.</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimated global marine fish catch, 1950 -2001</title>
<link>http://maps.grida.no/go/graphic/estimated-global-marine-fish-catch-1950-2001</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Fishing production dramatically increase through the century peaking in late 1980s. At this time there were major declines in several fish populations in different areas of the world. The catch reported by governments is in some cases adjusted to correct for likely errors in data.</description>
<pubDate>Sun, 27 Jan 2008 19:43:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimated-global-marine-fish-catch-1950-2001_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>270</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Fishing production dramatically increase through the century peaking in late 1980s. At this time there were major declines in several fish populations in different areas of the world. The catch reported by governments is in some cases adjusted to correct for likely errors in data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimated-global-marine-fish-catch-1950-_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8171FD39-C86A-112D-6AE0-8A623C2C2EFE</guid>
<g:label>global</g:label>
<g:label>fish</g:label>
<g:label>industry</g:label>
<g:label>overfishing</g:label>
<g:label>decline stocks</g:label>
<g:label>fishing</g:label>
<g:label>ecosystem</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimated ground deposition of cesium-137 from nuclear-weapon fallout</title>
<link>http://maps.grida.no/go/graphic/estimated_ground_deposition_of_cesium_137_from_nuclear_weapon_fallout</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows the estimated ground deposition of cesium-137 from nuclear weapon testing fallout. Cesium- 173 deposition from nuclear- weapon fallout have severe effects on human health. Based on estimaed doses to the Arctic population, nuclear weapon fallout will contribute to 750 additional cases of fatal cancer. </description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimated_ground_deposition_of_cesium_137_from_nuclear_weapon_fallout_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>136</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows the estimated ground deposition of cesium-137 from nuclear weapon testing fallout. Cesium- 173 deposition from nuclear- weapon fallout have severe effects on human health. Based on estimaed doses to the Arctic population, nuclear weapon fallout will contribute to 750 additional cases of fatal cancer. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimated_ground_deposition_of_cesium_137_from_nuclear_weapon_fallout.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CE7CE69B-E482-422E-9851-B33C1CB4F06E</guid>
<g:label>nhemi</g:label>
<g:label>Pollution</g:label>
<g:label>nuclear</g:label>
<g:label>cesium</g:label>
<g:label>nuclear weapons</g:label>
<g:label>testing</g:label>
<g:label>environment</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nhemi</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>AMAP, 1997</dc:source>
<geo:lat>45</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>0 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimated Loss of Plant Species 2000-2005</title>
<link>http://maps.grida.no/go/graphic/estimated-loss-of-plant-species-2000-2005</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>The present
environmental situation – heavily
influenced by climate change – could
lead to a massive destruction of forests
and the extinction of countless species. For example, modelling focusing
on the Amazon region has indicated
that 43 per cent of 193 representative
plant species could become nonviable
by the year 2095 due to the fact
that changes in climate will have fundamentally
altered the composition
of species habitats (Miles et al. 2004).</description>
<pubDate>Sat, 20 Jun 2009 14:34:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimated-loss-of-plant-species-2000-2005_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>150</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>The present
environmental situation – heavily
influenced by climate change – could
lead to a massive destruction of forests
and the extinction of countless species. For example, modelling focusing
on the Amazon region has indicated
that 43 per cent of 193 representative
plant species could become nonviable
by the year 2095 due to the fact
that changes in climate will have fundamentally
altered the composition
of species habitats (Miles et al. 2004).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimated-loss-of-plant-species-2000-_006.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/17864626-DFB2-70F9-8BC1-D356325EBBBE</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Kirkup 2001</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimated Loss of Rainfall in Amazonia in the Next Century</title>
<link>http://maps.grida.no/go/graphic/estimated-loss-of-rainfall-in-amazonia-in-the-next-century</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>The synthesis of 23 climate models shows a decline in rainfall between 1980-1999 and 2080-2099 under mid- range (A1B) global greenhouse gas emissions scenarios. The dry season rainfall is particularly important (winter in north and summer in central and southern Amazonia).</description>
<pubDate>Thu, 08 Oct 2009 16:21:11 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimated-loss-of-rainfall-in-amazonia-in-the-next-century_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>107</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>The synthesis of 23 climate models shows a decline in rainfall between 1980-1999 and 2080-2099 under mid- range (A1B) global greenhouse gas emissions scenarios. The dry season rainfall is particularly important (winter in north and summer in central and southern Amazonia).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimated-loss-of-rainfall-in-amazonia-in-the-next-century.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E5D82CFA-813A-6E33-308D-15265FBBF96F</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Malhi et al. 2008.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimated Residence time of water resources</title>
<link>http://maps.grida.no/go/graphic/estimated-residence-time-of-water-resources</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Phillipe Rekacewicz, February 2008</mapsgrida:designer>
<description>Estimated Residence time of water resources</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimated-residence-time-of-water-resources_thumbnail_005.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>104</mapsgrida:thumbnailHeight>
<g:author>Phillipe Rekacewicz, February 2008</g:author>
<mapsgrida:descriptionnonhtml>Estimated Residence time of water resources</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimated-residence-time-of-water-resources_007.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/125ED8AC-6D68-1316-FE89-598389F12D8D</guid>
<g:label>global</g:label>
<g:label>hydrology</g:label>
<g:label>water</g:label>
<g:label>graphics</g:label>
<g:label>estimate time</g:label>
<g:label>water</g:label>
<g:label>resource</g:label>
<g:label>state hydrological</g:label>
<dc:contributor>Phillipe Rekacewicz, February 2008</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Igor A. Shiklomanov, State Hydrological Institute(SHI, St. Petersburg) and United Nations Educational, Scientific and Cultural Organisation (UNESCO, Paris), 1999; Max Pianck, Insitute for Meteorology, Hamburg, 1994; Freeze, Allen, John, Cherry, Groundwater, Prentice-Hall: Engle wood Cliffs NJ, 1979.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimated total reactive nitrogen deposition from the atmosphere (wet and dry) in 1860, early 1990s, and projected for 2050</title>
<link>http://maps.grida.no/go/graphic/estimated-total-reactive-nitrogen-deposition-from-the-atmosphere-wet-and-dry-in-1860-early-1990s-and</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Atmospheric deposition currently accounts for roughly 12% of the reactive nitrogen entering terrestrial and coastal marine ecosystems globally, although in some regions, atmospheric deposition accounts for a higher percentage (about 33% in the United States). (Note: the projection was included in the original study and is not based on MA scenarios.)</description>
<pubDate>Sun, 03 Feb 2008 17:35:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimated-total-reactive-nitrogen-deposition-from-the-atmosphere-wet-and-dry-in-1860-early-1990s-and_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>592</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Atmospheric deposition currently accounts for roughly 12% of the reactive nitrogen entering terrestrial and coastal marine ecosystems globally, although in some regions, atmospheric deposition accounts for a higher percentage (about 33% in the United States). (Note: the projection was included in the original study and is not based on MA scenarios.)</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimated-total-reactive-nitrogen-deposition-from-the-atmosphere-wet-and-dry-in-1860-early-1990s-and_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/AF61DF3F-EBD7-DB33-F715-118FBC245C6C</guid>
<g:label>global</g:label>
<g:label>nitrogen</g:label>
<g:label>atmosphere</g:label>
<g:label>pollution</g:label>
<g:label>marine</g:label>
<g:label>ecosystem</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Galloway et al. 2004</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimated value of marine biomes</title>
<link>http://maps.grida.no/go/graphic/estimated_value_of_marine_biomes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>An estimation of the financial value of selected different marine areas. Marine biomes are divided between coral reefs, estuaries, and oceans. The marine biome covers 75% of the earth's surface, and accounts for 90% of the planet's water supply. </description>
<pubDate>Wed, 19 Jul 2006 09:38:17 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimated_value_of_marine_biomes_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>179</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>An estimation of the financial value of selected different marine areas. Marine biomes are divided between coral reefs, estuaries, and oceans. The marine biome covers 75% of the earth&apos;s surface, and accounts for 90% of the planet&apos;s water supply. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimated_value_of_marine_biomes.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F6BB8AC2-CFEA-458E-9E21-9AE1F6DFB45B</guid>
<g:label>global</g:label>
<g:label>marine</g:label>
<g:label>coastal</g:label>
<g:label>estuaries</g:label>
<g:label>continental shelf</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Costanza et al. (1998).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimates of people flooded in coastal areas in the 2080s as a result of sea-level rise and for given socio-economic scenarios and protection responses</title>
<link>http://maps.grida.no/go/graphic/estimates-of-people-flooded-in-coastal-areas-in-the-2080s-as-a-result-of-sea-level-rise-and-for-given-socio-economic-scenarios-and-protection-responses</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The lines represent IPCC Special Report on Emissions Scenarios (SRES) based on different world views. The differences in impacts between the SRES scenarios for the same amount of sea-level rise and protection response reflect differences in exposure (population) and ability to adapt (wealth). The solid lines represent a level of 'constant' (no additional) protection response. The dashed and dotted lines represent the addition of protection response to different degrees.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimates-of-people-flooded-in-coastal-areas-in-the-2080s-as-a-result-of-sea-level-rise-and-for-given-socio-economic-scenarios-and-protection-responses_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>273</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The lines represent IPCC Special Report on Emissions Scenarios (SRES) based on different world views. The differences in impacts between the SRES scenarios for the same amount of sea-level rise and protection response reflect differences in exposure (population) and ability to adapt (wealth). The solid lines represent a level of &apos;constant&apos; (no additional) protection response. The dashed and dotted lines represent the addition of protection response to different degrees.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimates-of-people-flooded-in-coastal-areas-in-the-2080s-as-a-result-of-sea-level-rise-and-for-given-socio-economic-scenarios-and-protection-responses.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11D2CB16-10AA-56E4-244D-EDBC221336A7</guid>
<g:label>global</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>snow</g:label>
<g:label>sea level</g:label>
<g:label>oceans</g:label>
<g:label>marine issues</g:label>
<g:label>coastal issues</g:label>
<g:label>vulnerability</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Nicholls, R.J. and Lowe, J.A. (2006) Climate stabilisation and impacts of sea-level rise. In Avoiding Dangerous Climate Change (eds. H.J. Schellnhuber, W. Cramer, N. Nakicenovic, T.M.L. Wigley, and G. Yohe). Cambridge University Press, Cambridge
Nicholls, R.J. and Tol, R.S.J. (2006). Impacts and responses to sealevel rise: a global analysis of the SRES scenarios over the twenty-first century. Philos. Trans. R. Soc. Lond. A, 364, 1073-1095</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimation brute des niveaux de pertes, de conversion et de gaspillage d’aliments à différents stades de la chaîne d’approvisionnement alimentaire sur le plan mondial</title>
<link>http://maps.grida.no/go/graphic/estimation-brute-des-niveaux-de-pertes-de-conversion-et-de-gaspillage-d-aliments-diff-rents-stades-d</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Vers la fin des années 1990, les agriculteurs produisaient en moyenne l'équivalent de 4 600 kilocalories par personne par jour (Smil, 2000), c'est-à-dire avant la conversion d’aliments en fourrages. Après déduction des pertes, des conversions et de gaspillage à différents stades de la chaîne d'approvisionnement alimentaire, environ 2 800 kilocalories sont disponibles pour l'offre (aliments animaux et végétaux confondus) et, au bout de la chaîne, 2 000 kilocalories en moyenne – soit 43 % seulement des récoltes comestibles potentielles – sont disponibles pour la consommation.</description>
<pubDate>Mon, 08 Jun 2009 16:47:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimation-brute-des-niveaux-de-pertes-de-conversion-et-de-gaspillage-d-aliments-diff-rents-stades-d_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>237</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Vers la fin des années 1990, les agriculteurs produisaient en moyenne l&apos;équivalent de 4 600 kilocalories par personne par jour (Smil, 2000), c&apos;est-à-dire avant la conversion d’aliments en fourrages. Après déduction des pertes, des conversions et de gaspillage à différents stades de la chaîne d&apos;approvisionnement alimentaire, environ 2 800 kilocalories sont disponibles pour l&apos;offre (aliments animaux et végétaux confondus) et, au bout de la chaîne, 2 000 kilocalories en moyenne – soit 43 % seulement des récoltes comestibles potentielles – sont disponibles pour la consommation.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimation-brute-des-niveaux-de-pertes-de-conversion-et-de-gaspillage-d-aliments-diff-rents-stades-d_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/148ABB39-10A5-138B-EED6-E2CDF2A37DED</guid>
<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>SIWI. 2008. Saving Water: From Field to Fork; Curbing Losses and Wastage in the Food Chain. http://www.siwi.org/documents/Resources/Policy_Briefs/PB_From_Filed_to_Fork_2008.pdf (Accessed November 17, 2008)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estimation du temps de trajet pour atteindre l’agglomération de plus de 5 000 habitants la plus proche</title>
<link>http://maps.grida.no/go/graphic/estimation-du-temps-de-trajet-pour-atteindre-l-agglom-ration-de-plus-de-5-000-habitants-la-plus-proc</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Accès aux marchés dans les zones agricoles en Afrique, en Asie et en Amérique latine.</description>
<pubDate>Mon, 08 Jun 2009 18:44:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estimation-du-temps-de-trajet-pour-atteindre-l-agglom-ration-de-plus-de-5-000-habitants-la-plus-proc_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>96</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Accès aux marchés dans les zones agricoles en Afrique, en Asie et en Amérique latine.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estimation-du-temps-de-trajet-pour-atteindre-l-agglom-ration-de-plus-de-5-000-habitants-la-plus-proc_003.jpg</g:image_link>
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<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Nelson, A. 2008. Estimated travel time to the nearest city of 5,000 or more people in year 2000. Personal communication of December 8, 2008.
Rammankutty, N et al. 2008. Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000', Global Biogeochemical Cycles, Vol. 22, GB1003, doi:10.1029/2007GB002952. HYPERLINK 'http://www.geog.mcgill.ca/~nramankutty/Datasets/Datasets.html' http://www.geog.mcgill.ca/~nramankutty/Datasets/Datasets.html (Accessed December 4, 2008)</dc:source>
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<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estonia emissions of greenhouse gases (CO2, CH4, N2O) 1990 and 2010 projections</title>
<link>http://maps.grida.no/go/graphic/estonia_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estonia_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>197</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estonia_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/0E76EDD5-39F8-4003-8379-3EEE769BC57B</guid>
<g:label>EE</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>methane</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>EE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>58</geo:lat>
<geo:long>24.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>57 21</gml:lowerCorner>
<gml:upperCorner>59 28</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estonia, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/estonia_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Estonia.
Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop6_total_greenhouse_gas_emissions_estonia_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Estonia.
Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop6_total_greenhouse_gas_emissions_estonia.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/4ACF6226-D332-47D8-A4A3-F88ACDB2774C</guid>
<g:label>EE</g:label>
<g:label>cop7</g:label>
<g:label>Estonia</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<g:label></g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>EE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Actual emissions UNFCCC/SB1/2000/11 table B.1
</dc:source>
<geo:lat>58</geo:lat>
<geo:long>24.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>57 21</gml:lowerCorner>
<gml:upperCorner>59 28</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Estonia, topographic map</title>
<link>http://maps.grida.no/go/graphic/estonia_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Estonia is located in Eastern Europe, bordering the Baltic Sea and Gulf of Finland, between Latvia and Russia, comprising of 45,226 sq km. It has a population of 1,332,893 (2005). Major environmental concerns are: air polluted with sulfur dioxide from oil-shale burning power plants in northeast; however, the amount of pollutants emitted to the air have fallen steadily, the emissions of 2000 were 80% less than in 1980; the amount of unpurified wastewater discharged to water bodies in 2000 was one twentieth the level of 1980; in connection with the start-up of new water purification plants, the pollution load of wastewater decreased; Estonia has more than 1,400 natural and manmade lakes, the smaller of which in agricultural areas need to be monitored; coastal seawater is polluted in certain locations.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/estonia_topographic_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>144</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Estonia is located in Eastern Europe, bordering the Baltic Sea and Gulf of Finland, between Latvia and Russia, comprising of 45,226 sq km. It has a population of 1,332,893 (2005). Major environmental concerns are: air polluted with sulfur dioxide from oil-shale burning power plants in northeast; however, the amount of pollutants emitted to the air have fallen steadily, the emissions of 2000 were 80% less than in 1980; the amount of unpurified wastewater discharged to water bodies in 2000 was one twentieth the level of 1980; in connection with the start-up of new water purification plants, the pollution load of wastewater decreased; Estonia has more than 1,400 natural and manmade lakes, the smaller of which in agricultural areas need to be monitored; coastal seawater is polluted in certain locations.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/estonia_topographic_map_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/98B44329-5FD8-4121-B508-3DFF255D788C</guid>
<g:label>EE</g:label>
<g:label>estonia</g:label>
<g:label>soviet union</g:label>
<g:label>topography</g:label>
<g:label>eastern europe</g:label>
<g:label>baltic sea</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>EE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>58</geo:lat>
<geo:long>24.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>57 21</gml:lowerCorner>
<gml:upperCorner>59 28</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ethnic diversity in Kosovo</title>
<link>http://maps.grida.no/go/graphic/ethnic-diversity-in-kosovo</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Kosovo, an area that has been a part of Serbia and previously Yugoslavia, has a large mixture of ethnic groups that has kept the area politically unstable for years. The largest groups include Albanians, Serbs, Bosniaks and Gorani with further large pockets of other ethnic groups.</description>
<pubDate>Tue, 12 Feb 2008 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ethnic-diversity-in-kosovo_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>215</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Kosovo, an area that has been a part of Serbia and previously Yugoslavia, has a large mixture of ethnic groups that has kept the area politically unstable for years. The largest groups include Albanians, Serbs, Bosniaks and Gorani with further large pockets of other ethnic groups.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ethnic-diversity-in-kosovo_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FA475B64-B3F2-C9A2-B40F-C754272272A3</guid>
<g:label>CS-KM</g:label>
<g:label>ethnic diversity</g:label>
<g:label>conflict</g:label>
<g:label>demography</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CS-KM</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNMIK; Ninth assessment of the situation of ethnic minorities in Kosovo (2002), OSCE-UNHCR; Kosovo Humanitarian Community Information Center, Kosovo road Atlas.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>0 0</gml:lowerCorner>
<gml:upperCorner>0 0</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ethnic groups in the South Eastern Europe</title>
<link>http://maps.grida.no/go/graphic/ethnic_groups_in_the_south_eastern_europe</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Since the fall of the Iron Curtain, ethnic tension has been a major factor in the development of the political situation in the Balkan Region. The break up of communist Yugoslavia lead to wide spread confict in the 1990-ies and has lead to the formation of new countries.</description>
<pubDate>Tue, 09 May 2006 10:46:17 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ethnic_groups_in_the_south_eastern_europe_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>176</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Since the fall of the Iron Curtain, ethnic tension has been a major factor in the development of the political situation in the Balkan Region. The break up of communist Yugoslavia lead to wide spread confict in the 1990-ies and has lead to the formation of new countries.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ethnic_groups_in_the_south_eastern_europe.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CE4A75AA-4846-4B92-9CC3-3CBDA7AFF8EE</guid>
<g:label>balkan</g:label>
<g:label>ethnic origin</g:label>
<g:label>conflict</g:label>
<g:label>demography</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>balkan</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>See graphic, previously published in Le Monde Diplomatique</dc:source>
<geo:lat>41</geo:lat>
<geo:long>19.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 13</gml:lowerCorner>
<gml:upperCorner>47 26</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ethno-linguistic distribution in the Southern Caucasus</title>
<link>http://maps.grida.no/go/graphic/ethno_linguistic_distribution_in_the_southern_caucasus</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Le Monde Diplomatique</mapsgrida:designer>
<description>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</description>
<pubDate>Sun, 12 Mar 2006 09:25:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ethno_linguistic_distribution_in_the_southern_caucasus_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>136</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Le Monde Diplomatique</g:author>
<mapsgrida:descriptionnonhtml>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ethno_linguistic_distribution_in_the_southern_caucasus.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/99D4F259-E7AB-467E-8956-87915E83D04D</guid>
<g:label>caucasus</g:label>
<g:label>security</g:label>
<g:label>conflict</g:label>
<g:label>nis</g:label>
<g:label>cee</g:label>
<g:label>caucasus</g:label>
<g:label>soviet</g:label>
<g:label>ethno-linguistics</g:label>
<dc:contributor>Philippe Rekacewicz, Le Monde Diplomatique</dc:contributor>
<dc:coverage>caucasus</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>37</geo:lat>
<geo:long>45.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 39</gml:lowerCorner>
<gml:upperCorner>46 52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ethno-linguistic distribution in the Southern Caucasus</title>
<link>http://maps.grida.no/go/graphic/ethno_linguistic_distribution_in_the_southern_caucasus1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Le Monde Diplomatique</mapsgrida:designer>
<description>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</description>
<pubDate>Sun, 12 Mar 2006 09:25:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ethno_linguistic_distribution_in_the_southern_caucasus_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>136</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Le Monde Diplomatique</g:author>
<mapsgrida:descriptionnonhtml>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ethno_linguistic_distribution_in_the_southern_caucasus_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11AA5918-1323-4ABD-8130-FB6E61051F74</guid>
<g:label>caucasus</g:label>
<g:label>security</g:label>
<g:label>conflict</g:label>
<g:label>nis</g:label>
<g:label>cee</g:label>
<g:label>caucasus</g:label>
<g:label>soviet</g:label>
<g:label>ethno-linguistics</g:label>
<dc:contributor>Philippe Rekacewicz, Le Monde Diplomatique</dc:contributor>
<dc:coverage>caucasus</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Various</dc:source>
<geo:lat>37</geo:lat>
<geo:long>45.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 39</gml:lowerCorner>
<gml:upperCorner>46 52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>EU fishing agreements to West and Central African countries</title>
<link>http://maps.grida.no/go/graphic/eu-fishing-agreements-to-west-and-central-african-countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Fisheries activities by European Union countries in the seas of West Africa contribute EUR 120 million annually in government revenues. A part of the contribution is set for “targeted actions” to promote local resource management and sustainable development. For some of the poorest countries under these agreements – like Guinea-Bissau, the EU payments represent a significant part of the government revenues.</description>
<pubDate>Mon, 06 Oct 2008 16:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/eu-fishing-agreements-to-west-and-central-african-countries_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>201</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Fisheries activities by European Union countries in the seas of West Africa contribute EUR 120 million annually in government revenues. A part of the contribution is set for “targeted actions” to promote local resource management and sustainable development. For some of the poorest countries under these agreements – like Guinea-Bissau, the EU payments represent a significant part of the government revenues.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/eu-fishing-agreements-to-west-and-central-african-countries_002.jpg</g:image_link>
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<g:label>westafrica</g:label>
<g:label>fisheries</g:label>
<g:label>marine</g:label>
<g:label>development</g:label>
<g:label>mauritania</g:label>
<g:label>senegal</g:label>
<g:label>guinea-bissau</g:label>
<g:label>guinea</g:label>
<g:label>gabon</g:label>
<g:label>cote d'ivoire</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>westafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO. 2006. Contribution of fisheries to national economies in West and Central Africa – Policies to increase the wealth generated by small-scale fisheries. New Directions in Fisheries – A Series of Policy Briefs on Development Issues, No. 03. http://www.sflp.org/briefs/eng/03.pdf (accessed October 4, 2006) </dc:source>
<geo:lat>10.5</geo:lat>
<geo:long>-2</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>0 -19</gml:lowerCorner>
<gml:upperCorner>21 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Europe’s “Dirty Thirty”</title>
<link>http://maps.grida.no/go/graphic/europe-s-dirty-thirty</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>WWF Ranking of the 30 dirtiest power plants in Europe
Please note:
*These are not the most emitting power plants but the least efficient ones.
*This ranking only compares plants located in the European Union (25 countries at the time of the study).
*The study only covers power plants serving the public power supply.</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/europe-s-dirty-thirty_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>299</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>WWF Ranking of the 30 dirtiest power plants in Europe
Please note:
*These are not the most emitting power plants but the least efficient ones.
*This ranking only compares plants located in the European Union (25 countries at the time of the study).
*The study only covers power plants serving the public power supply.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/europe-s-dirty-thirty.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1558E7D5-14F1-DC58-03CD-AAD3BE1B794E</guid>
<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Wide Fund for Nature, using the European Pollutant
Emission Register and the Community Independent Transition Log of the European Union Emission Trading Scheme, 2007 (data for 2006).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Europe's 'Dirty Thirsty'</title>
<link>http://maps.grida.no/go/graphic/europe-s-dirty-thirsty</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>WWF Ranking of the 30 dirtiest power plants in Europe and (in)efficiency of power plants located in the European Union and serving the public power supply.</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/europe-s-dirty-thirsty_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>288</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>WWF Ranking of the 30 dirtiest power plants in Europe and (in)efficiency of power plants located in the European Union and serving the public power supply.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/europe-s-dirty-thirsty_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/11DA8B2E-128D-ABD2-A552-151781AF2E73</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ever growing numbers of refugees</title>
<link>http://maps.grida.no/go/graphic/ever-growing-numbers-of-refugees</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Many people forced into exile for ecological reasons have to claim political refugee status. For instance, in 1992 the thousands of people who fled the drought in Mozambique had political refuge status in Zambia. Gaining this status was easy since Zambia needed to increase its refugee population to qualify for more international aid. After the drought ended, the eco-refugees returned to Mozambique before official repatriation started.</description>
<pubDate>Sat, 09 Feb 2008 23:54:28 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ever-growing-numbers-of-refugees_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>107</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Many people forced into exile for ecological reasons have to claim political refugee status. For instance, in 1992 the thousands of people who fled the drought in Mozambique had political refuge status in Zambia. Gaining this status was easy since Zambia needed to increase its refugee population to qualify for more international aid. After the drought ended, the eco-refugees returned to Mozambique before official repatriation started.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ever-growing-numbers-of-refugees.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1422BAF3-1114-9756-0BFC-A3C426C7F2A9</guid>
<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>poverty</g:label>
<g:label>refugee</g:label>
<g:label>conflict</g:label>
<g:label>poverty</g:label>
<g:label>politics</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNHCR (United Nations High Commissioner for Refugees; Norwegian Council for Refugees, Geneva</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Everyday alternatives: biodegradable, disposable or conventional tableware?</title>
<link>http://maps.grida.no/go/graphic/everyday_alternatives_biodegradable_disposable_or_conventional_tableware</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay</mapsgrida:designer>
<description>The priority is to decrease the amount of waste we generate.
Only then should we will be proud of the high rates for
recycling some countries report (see examples for glass
and paper). Glass recycling scores best, perhaps because
an old habit has never been lost. Many countries still have
a deposit on glass bottles (Scandinavia) or have even
expanded it (Germany).</description>
<pubDate>Tue, 19 Dec 2006 14:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/everyday_alternatives_biodegradable_disposable_or_conventional_tableware_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>92</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay</g:author>
<mapsgrida:descriptionnonhtml>The priority is to decrease the amount of waste we generate.
Only then should we will be proud of the high rates for
recycling some countries report (see examples for glass
and paper). Glass recycling scores best, perhaps because
an old habit has never been lost. Many countries still have
a deposit on glass bottles (Scandinavia) or have even
expanded it (Germany).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/everyday_alternatives_biodegradable_disposable_or_conventional_tableware.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A4ED08D5-1239-147E-48CB-14D314C233D3</guid>
<g:label>global</g:label>
<g:label>recycling</g:label>
<g:label>reuse</g:label>
<g:label>biodegradable</g:label>
<g:label>disposable</g:label>
<g:label>tableware</g:label>
<g:label>waste</g:label>
<dc:contributor>Emmanuelle Bournay</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Friedrich Schmidt-Bleek et al., Der ökologische rucksack, Wirtschaft für eine zukunft mit zukunft, Hirzel Editions, Stuttgart, 2004.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Evolution de la composition historique et projetée du régime alimentaire humain et de la valeur nutritive </title>
<link>http://maps.grida.no/go/graphic/evolution-de-la-composition-historique-et-projet-e-du-r-gime-alimentaire-humain-et-de-la-valeur-nutr</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Kilocalories par personne par jour</description>
<pubDate>Mon, 08 Jun 2009 15:24:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/evolution-de-la-composition-historique-et-projet-e-du-r-gime-alimentaire-humain-et-de-la-valeur-nutr_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Kilocalories par personne par jour</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/evolution-de-la-composition-historique-et-projet-e-du-r-gime-alimentaire-humain-et-de-la-valeur-nutr_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E8C26066-8332-158D-732D-1316E918EC51</guid>
<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agricultural Organization of the United Nations (FAO). 2003. World agriculture: towards 2015/2030 Summary report. Rome, FAO and London, Earthscan.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Evolution des prix des produits de base par rapport à ceux des produits pétroliers</title>
<link>http://maps.grida.no/go/graphic/evolution-des-prix-des-produits-de-base-par-rapport-ceux-des-produits-p-troliers</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Prix des produits alimentaires (indice)
Prix du pétrole brut (indice)
</description>
<pubDate>Mon, 08 Jun 2009 15:03:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/evolution-des-prix-des-produits-de-base-par-rapport-ceux-des-produits-p-troliers_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>221</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Prix des produits alimentaires (indice)
Prix du pétrole brut (indice)
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/evolution-des-prix-des-produits-de-base-par-rapport-ceux-des-produits-p-troliers_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/122F87D1-177E-D1FD-941B-E0F659BE2B94</guid>
<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agricultural Organization of the United Nations (FAO). 2008. International commodity prices. http://www.fao.org/es/esc/prices (Accessed November 10, 2008)
International Monetary Fund (IMF). 2008. IMF Primary Commodity Prices, monthly data (CSV file) for 8 price indices and 49 actual price series, 1980 - current. http://www.imf.org/external/np/res/commod/index.asp (Accessed November 10, 2008)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Evolution of the phytoplankton compostion in the Black Sea</title>
<link>http://maps.grida.no/go/graphic/evolution_of_the_phytoplankton_compostion_in_the_black_sea_giwa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:17 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/evolution_of_the_phytoplankton_compostion_in_the_black_sea_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>241</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/evolution_of_the_phytoplankton_compostion_in_the_black_sea_giwa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7D576479-5BF7-469A-8F69-5F348BC588D4</guid>
<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>biodiversity</g:label>
<g:label>phytoplankton</g:label>
<g:label></g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>E.Eker, L.Georgieva, L.Senichkina and A. Kideys, Phytoplankton distribution in the western and eastern Black Sea in spring and autumn 1995.ICES Journal of Marine Science vol.56, 1999.pp 15-22: Dr Ahmet E. Kideys, Institute of Marine Sciences Middle East Technical University, Erdemli, Turkey</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>37 22</gml:lowerCorner>
<gml:upperCorner>50 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Evolution of the world grain production, comparision with China and United-States</title>
<link>http://maps.grida.no/go/graphic/evolution_of_the_world_grain_production_comparision_with_china_and_united_states</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic compares the evolution of the grain production of China and the United States to world statistics from 1960 to 1995. the graphic demonstrates the overall increase in grain production globally, as well as Chinas leading role as the worlds dominating grain producer from 1960 to 1995.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/batch1tn_agrgrainevo.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>175</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic compares the evolution of the grain production of China and the United States to world statistics from 1960 to 1995. the graphic demonstrates the overall increase in grain production globally, as well as Chinas leading role as the worlds dominating grain producer from 1960 to 1995.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/batch1agrgrainevo.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/6A47362B-2A4D-4A29-B085-13CA2AAF0B82</guid>
<g:label>global</g:label>
<g:label>grain production</g:label>
<g:label>cereals</g:label>
<g:label>United States</g:label>
<g:label>China</g:label>
<g:label>agriculture</g:label>
<g:label>food production</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Worldwatch Institute, Washington DC, United States.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Evolution of the world grain production, comparison World, Europe, China, Africa</title>
<link>http://maps.grida.no/go/graphic/evolution_of_the_world_grain_production_comparison_world_europe_china_africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph Compares the amount of grain production of Europe, China and Africa to the world. It shows Europe as both the leading grain producer and as the region with the most dramatic increase in grain production since 1950. </description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/evolution_of_the_world_grain_production_comparison_world_europe_china_africa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>183</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph Compares the amount of grain production of Europe, China and Africa to the world. It shows Europe as both the leading grain producer and as the region with the most dramatic increase in grain production since 1950. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/evolution_of_the_world_grain_production_comparison_world_europe_china_africa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D9FC12E1-4688-4619-A134-C5FDBF621901</guid>
<g:label>global</g:label>
<g:label>grain production</g:label>
<g:label>cereals</g:label>
<g:label>agriculture</g:label>
<g:label>economy</g:label>
<g:label></g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Worldwatch Institute, Washington DC, United States.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Example of enhanced water levels produced from river ice, Liard River, Canada</title>
<link>http://maps.grida.no/go/graphic/example-of-enhanced-water-levels-produced-from-river-ice-liard-river-canada</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The lower curve shows the correspondence between river flow and water levels under open-water conditions. The much greater maximum water levels possible under ice-jam conditions are illustrated by the upper curve. The transition in break-up severity from dynamic to thermal break-up effects (see text) is depicted by the gradually shaded area between the two curves. Dots are observed annual maximum water levels during the spring break up. The 1990 dashed line shows the maximum recorded flow for the Liard River – but note that the water level corresponding to this peak flow is lower than for many break-up events with much lower flows. Effects of climate on snowmelt runoff and ice characteristics will lead to regional changes in break-up severity and associated frequency and magnitude of ice-induced flooding.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/example-of-enhanced-water-levels-produced-from-river-ice-liard-river-canada_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>234</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
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<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ADEME, Bilan Carbone® Entreprises et Collectivités, Guide des facteurs d’émissions, 2007; US Environmental Protection Agency (www.epa.gov/solar/energy-resources/calculator.html); ESU-Services Consulting (Switzerland); World Wildlife Fund; Jean-Marc Manicore (www.manicore.com); Jean-Pierre Bourdier (www.x-environnement.org); fatknowledge.blogspot.com; www.actu-environnement.com; www.cleanair-coolplanet.org.</dc:source>
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<item>
<title>Examples of GHG emission amounts 19</title>
<link>http://maps.grida.no/go/graphic/examples-of-ghg-emission-amounts-19</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Examples of GHG emission amounts generated by different activities or goods are scattered across the book in the form of proportional bubbles (in kilograms of CO2 equivalent).</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
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<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Examples of GHG emission amounts generated by different activities or goods are scattered across the book in the form of proportional bubbles (in kilograms of CO2 equivalent).</mapsgrida:descriptionnonhtml>
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<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ADEME, Bilan Carbone® Entreprises et Collectivités, Guide des facteurs d’émissions, 2007; US Environmental Protection Agency (www.epa.gov/solar/energy-resources/calculator.html); ESU-Services Consulting (Switzerland); World Wildlife Fund; Jean-Marc Manicore (www.manicore.com); Jean-Pierre Bourdier (www.x-environnement.org); fatknowledge.blogspot.com; www.actu-environnement.com; www.cleanair-coolplanet.org.</dc:source>
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<item>
<title>Examples of GHG emission amounts 20</title>
<link>http://maps.grida.no/go/graphic/examples-of-ghg-emission-amounts-20</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Examples of GHG emission amounts generated by different activities or goods are scattered across the book in the form of proportional bubbles (in kilograms of CO2 equivalent).</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/examples-of-ghg-emission-amounts-20_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>237</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Examples of GHG emission amounts generated by different activities or goods are scattered across the book in the form of proportional bubbles (in kilograms of CO2 equivalent).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/examples-of-ghg-emission-amounts-20.jpg</g:image_link>
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<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ADEME, Bilan Carbone® Entreprises et Collectivités, Guide des facteurs d’émissions, 2007; US Environmental Protection Agency (www.epa.gov/solar/energy-resources/calculator.html); ESU-Services Consulting (Switzerland); World Wildlife Fund; Jean-Marc Manicore (www.manicore.com); Jean-Pierre Bourdier (www.x-environnement.org); fatknowledge.blogspot.com; www.actu-environnement.com; www.cleanair-coolplanet.org.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
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</item>
<item>
<title>Examples of GHG emission amounts generated by different activities or goods</title>
<link>http://maps.grida.no/go/graphic/examples-of-ghg-emission-amounts-generated-by-different-activities-or-goods</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>are scattered across the book in the form of proportional bubbles (in kilograms of CO2 equivalent).</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/examples-of-ghg-emission-amounts-generated-by-different-activities-or-goods_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>189</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>are scattered across the book in the form of proportional bubbles (in kilograms of CO2 equivalent).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/examples-of-ghg-emission-amounts-generated-by-different-activities-or-goods.jpg</g:image_link>
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<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
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</item>
<item>
<title>Examples of ozone depleting substances (ODS) smuggling patterns in Asia and the Pacific</title>
<link>http://maps.grida.no/go/graphic/examples-of-ozone-depleting-substances-ods-smuggling-patterns-in-asia-and-the-pacific</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In the mid-1990s, when CFCs were phased-out in industrialized countries (non-Article 5 countries), illegal trade in those chemicals emerged. By 1996 this trade had reached alarming proportions, accounting for as much as 12–20% of global trade in ozone depleting substances (ODS).</description>
<pubDate>Sat, 12 Jan 2008 22:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/examples-of-ozone-depleting-substances-ods-smuggling-patterns-in-asia-and-the-pacific_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>283</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In the mid-1990s, when CFCs were phased-out in industrialized countries (non-Article 5 countries), illegal trade in those chemicals emerged. By 1996 this trade had reached alarming proportions, accounting for as much as 12–20% of global trade in ozone depleting substances (ODS).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/examples-of-ozone-depleting-substances-ods-smuggling-patterns-in-asia-and-the-pacific.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>economy</g:label>
<g:label>illegal trade</g:label>
<g:label>chlorofluorocarbons</g:label>
<g:label>CFCs</g:label>
<g:label>ozone depleting substances</g:label>
<g:label>ODS</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP ROAP, Illegal trade in ODS in Asia and the Pacific, September 2006.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
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<gml:upperCorner>90 180</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>Excessive withdrawal of renewable water resources</title>
<link>http://maps.grida.no/go/graphic/excessive-withdrawal-of-renewable-water-resources</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz (Le Monde diplomatique), February 2006</mapsgrida:designer>
<description>The countries known to be experiencing stress or scarcity of water per capita are roughly those which are excessively using their renewable water resources (North Africa, Middle-East and central Asia including Afghanistan and Pakistan). Excessive use is also of concern in some of the northern European countries such as Germany, Denmark or Poland. More so, as a consequence of damming, the Tigris and Euphrates in the eastern mountains of Turkey are now considered as major hotspots where violence could easily erupt if a clear mechanism for resolving conflict is not put in place.
Turkey holds the dominant position since both the Tigris and Euphrates rise in its eastern mountains. Both rivers then flow through Syria and Iraq before draining into the Persian Gulf. Syria and Iraq are thus dependent on Turkish cooperation for the amount of water they receive.
Turkey is carrying out a US$32 billion water development scheme called the Grand Anatolia Project (GAP), which involves construction of several dams in its underdeveloped south-east, for irrigation and to generate hydro electric power (HEP). This will definitely have a negative impact on the downstream riparian states of Syria and Iraq; however it also presents an opportunity for collaboration on water-use.
Tensions tend to escalate and erupt whenever Turkey undertakes damming of the rivers. This has made Syria and Iraq continue to lobby the Arab League states to unite against Turkey on the GAP issue. In retaliation, both states have also supported the minority Kurdish Workers Party in its struggle against the Turkish government, prompting Turkey to threaten to cut off the flow of water to Syria and Iraq on more than one occasion.</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/excessive-withdrawal-of-renewable-water-resources_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz (Le Monde diplomatique), February 2006</g:author>
<mapsgrida:descriptionnonhtml>The countries known to be experiencing stress or scarcity of water per capita are roughly those which are excessively using their renewable water resources (North Africa, Middle-East and central Asia including Afghanistan and Pakistan). Excessive use is also of concern in some of the northern European countries such as Germany, Denmark or Poland. More so, as a consequence of damming, the Tigris and Euphrates in the eastern mountains of Turkey are now considered as major hotspots where violence could easily erupt if a clear mechanism for resolving conflict is not put in place.
Turkey holds the dominant position since both the Tigris and Euphrates rise in its eastern mountains. Both rivers then flow through Syria and Iraq before draining into the Persian Gulf. Syria and Iraq are thus dependent on Turkish cooperation for the amount of water they receive.
Turkey is carrying out a US$32 billion water development scheme called the Grand Anatolia Project (GAP), which involves construction of several dams in its underdeveloped south-east, for irrigation and to generate hydro electric power (HEP). This will definitely have a negative impact on the downstream riparian states of Syria and Iraq; however it also presents an opportunity for collaboration on water-use.
Tensions tend to escalate and erupt whenever Turkey undertakes damming of the rivers. This has made Syria and Iraq continue to lobby the Arab League states to unite against Turkey on the GAP issue. In retaliation, both states have also supported the minority Kurdish Workers Party in its struggle against the Turkish government, prompting Turkey to threaten to cut off the flow of water to Syria and Iraq on more than one occasion.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/excessive-withdrawal-of-renewable-water-resources_004.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>vital</g:label>
<g:label>water</g:label>
<g:label>graphics</g:label>
<g:label>withdrawal</g:label>
<g:label>renewable</g:label>
<g:label>resources</g:label>
<g:label>Excessive withdrawal of renewable water resources</g:label>
<g:label>scaracity</g:label>
<g:label>middle-east</g:label>
<dc:contributor>Philippe Rekacewicz (Le Monde diplomatique), February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO, Aquastat 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Exchange of electricity in the Nordic countries, 1996</title>
<link>http://maps.grida.no/go/graphic/exchange-of-electricity-in-the-nordic-countries-1996</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows exchanges of electricity in the Nordic countries in TWh. The Nordic countries have a long tradition of cross-border cooperation in providing an efficient and reliable power supply. The main reason for these exchanges has been that each of these countries has a different mix of power generation facilities. In the later years, from around 1997, the cooperation has changed from being an oligopoly structure with dominant state-owned enterprises to a competitive market. </description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/exchange-of-electricity-in-the-nordic-countries-1996_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows exchanges of electricity in the Nordic countries in TWh. The Nordic countries have a long tradition of cross-border cooperation in providing an efficient and reliable power supply. The main reason for these exchanges has been that each of these countries has a different mix of power generation facilities. In the later years, from around 1997, the cooperation has changed from being an oligopoly structure with dominant state-owned enterprises to a competitive market. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/exchange-of-electricity-in-the-nordic-countries-1996.gif</g:image_link>
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<g:label>nordic</g:label>
<g:label>Energy</g:label>
<g:label>energy exchanges</g:label>
<g:label>export</g:label>
<g:label>trade</g:label>
<g:label>imports</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>NORDEL, 1998</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Exchanges of electricity in the Nordic countries in 1996</title>
<link>http://maps.grida.no/go/graphic/exchanges_of_electricity_in_the_nordic_countries_in_1996</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows exchanges of electricity in the Nordic countries in 1996. The Nordic countries have a long tradition of cross-border cooperation in providing an efficient and reliable power supply. The main reason for these exchanges has been that each of these countries has a different mix of power generation facilities. In the later years, from around 1997, the coopreation has changed from being an oligopoly structure with dominant state-owned enterprises to a competitive marked. </description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivenc24_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows exchanges of electricity in the Nordic countries in 1996. The Nordic countries have a long tradition of cross-border cooperation in providing an efficient and reliable power supply. The main reason for these exchanges has been that each of these countries has a different mix of power generation facilities. In the later years, from around 1997, the coopreation has changed from being an oligopoly structure with dominant state-owned enterprises to a competitive marked. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivenc24_l.gif</g:image_link>
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<g:label>nordic</g:label>
<g:label>Energy</g:label>
<g:label>energy exchanges</g:label>
<g:label>nordic countries</g:label>
<g:label>scandinvia</g:label>
<g:label>export</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>NORDEL, 1998</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Exemples des réseaux de contrebande des SAO en Asie et dans le Pacifique</title>
<link>http://maps.grida.no/go/graphic/exemples-des-r-seaux-de-contrebande-des-sao-en-asie-et-dans-le-pacifique</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Wed, 26 May 2010 20:19:51 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/exemples-des-r-seaux-de-contrebande-des-sao-en-asie-et-dans-le-pacifique_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>267</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/exemples-des-r-seaux-de-contrebande-des-sao-en-asie-et-dans-le-pacifique_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>resource</g:label>
<g:label>kit</g:label>
<g:label>journalist</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>PNUE ROAP, Illegal trade in ODS in Asia and the Pacific, septembre 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Existing and estimated hydropower capacity in the Balkans, 2006</title>
<link>http://maps.grida.no/go/graphic/existing-and-estimated-hydropower-capacity-in-the-balkans-2006</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</mapsgrida:designer>
<description>Hydroelectric power covers a significant share of electricity consumption in the region (43 percent in 2004). Hydroelectric power dropped noticeably due to lower rainfall in 2002 and 2003, but the increase in overall electricity consumption nevertheless seems likely to continue driving demand upwards.</description>
<pubDate>Thu, 07 Feb 2008 09:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/existing-and-estimated-hydropower-capacity-in-the-balkans-2006_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>298</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</g:author>
<mapsgrida:descriptionnonhtml>Hydroelectric power covers a significant share of electricity consumption in the region (43 percent in 2004). Hydroelectric power dropped noticeably due to lower rainfall in 2002 and 2003, but the increase in overall electricity consumption nevertheless seems likely to continue driving demand upwards.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/existing-and-estimated-hydropower-capacity-in-the-balkans-2006.jpg</g:image_link>
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<g:label>balkan</g:label>
<g:label>hydro electricity</g:label>
<g:label>water</g:label>
<g:label>renewable energy</g:label>
<g:label>consumption</g:label>
<g:label>electricity</g:label>
<g:label>power</g:label>
<dc:contributor>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</dc:contributor>
<dc:coverage>balkan</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The European Bank for Reconstruction and Development (EBRD)</dc:source>
<geo:lat>41</geo:lat>
<geo:long>19.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 13</gml:lowerCorner>
<gml:upperCorner>47 26</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Existing and planned development in the Mackenzie delta</title>
<link>http://maps.grida.no/go/graphic/existing-and-planned-development-in-the-mackenzie-delta</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Mackenzie delta and valley are seeing increased development of infrastructure for oil, pipelines and facilities, and with that comes temporary settlements and roads. This map illustrates the possible impacts on the environment with the suggested development in 2027.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/existing_and_planned_development_in_the_mackenzie_delta_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>93</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Mackenzie delta and valley are seeing increased development of infrastructure for oil, pipelines and facilities, and with that comes temporary settlements and roads. This map illustrates the possible impacts on the environment with the suggested development in 2027.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/existing_and_planned_development_in_the_mackenzie_delta_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9EA5927B-7B00-4D11-8C46-93160F9A5546</guid>
<g:label>nwt</g:label>
<g:label>oil</g:label>
<g:label>human impact</g:label>
<g:label>development</g:label>
<g:label>natural resources</g:label>
<g:label>conservation</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nwt</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Adapted from CARC (2004), data from NWT digital atlas, WWF (2002).</dc:source>
<geo:lat>70</geo:lat>
<geo:long>-119.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 -137</gml:lowerCorner>
<gml:upperCorner>80 -102</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Existing and proposed Coastal and Marine protected areas of the Arctic</title>
<link>http://maps.grida.no/go/graphic/existing_and_proposed_coastal_and_marine_protected_areas_of_the_arctic</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Includes Marine Protected Areas and Protected Areas with Major or Minor Marine or Coastal Components. Prepared for the the Conservation of Arctic Flora and Fauna (CAFF), Habitat Conservation Report No. 2.</description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_existing_and_proposed_coastal_and_marine_protected_areas_of_the_arctic.png</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>161</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Includes Marine Protected Areas and Protected Areas with Major or Minor Marine or Coastal Components. Prepared for the the Conservation of Arctic Flora and Fauna (CAFF), Habitat Conservation Report No. 2.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_existing_and_proposed_coastal_and_marine_protected_areas_of_the_arctic.png</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CDBB33FF-8244-4EC2-9F88-3A5E90391134</guid>
<g:label>geoarctic</g:label>
<g:label>Protected areas</g:label>
<g:label>marine</g:label>
<g:label>coasts</g:label>
<g:label>Conservation of Arctic Flora and Fauna</g:label>
<g:label>CAFF</g:label>
<g:label>Arctic</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Source data supplied by CAFF member countries</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Existing and Proposed Protected Areas</title>
<link>http://maps.grida.no/go/graphic/existing_and_proposed_protected_areas</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The areas that were protected in 1996 are shown on a complete map of the circumpolar area of the world along side with the proposed protected areas. The countries inclused in the information are: Canada, Finland, Greenland/Denmark, Iceland, Norway, Russia, Sweden, and USA.</description>
<pubDate>Thu, 16 Feb 2006 22:31:16 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/existing_and_proposed_protected_areas_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>151</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The areas that were protected in 1996 are shown on a complete map of the circumpolar area of the world along side with the proposed protected areas. The countries inclused in the information are: Canada, Finland, Greenland/Denmark, Iceland, Norway, Russia, Sweden, and USA.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/existing_and_proposed_protected_areas_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FDFE8D5C-E549-FF43-61E0-14D21452BC1F</guid>
<g:label>geoarctic</g:label>
<g:label>Conservation of Arctic Flora and Fauna</g:label>
<g:label>CAFF</g:label>
<g:label>Canada</g:label>
<g:label>Finland</g:label>
<g:label>Greenland</g:label>
<g:label>Denmark</g:label>
<g:label>Iceland</g:label>
<g:label>Norway</g:label>
<g:label>Russia</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Source data supplied by CAFF member countries</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Existing radioactive waste disposal and proposal alternatives for storage</title>
<link>http://maps.grida.no/go/graphic/existing-radioactive-waste-disposal-and-proposal-alternatives-for-storage</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Radioactive waste presents a unique problem, where it has to be handled with care to prevent radiation exposure for people, wildlife and contamination. Products from nuclear activities can be reprocessed to a certain degree, but a fair bit of the waste needs to be stored or disposed of in a safe manner. Options include storing in deep mountain chambers/caverns, under the sea floor or even sending it out into space.</description>
<pubDate>Thu, 09 Feb 2006 23:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/existing_radioactive_waste_disposal_and_proposal_alternatives_for_storage_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>147</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Radioactive waste presents a unique problem, where it has to be handled with care to prevent radiation exposure for people, wildlife and contamination. Products from nuclear activities can be reprocessed to a certain degree, but a fair bit of the waste needs to be stored or disposed of in a safe manner. Options include storing in deep mountain chambers/caverns, under the sea floor or even sending it out into space.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/existing_radioactive_waste_disposal_and_proposal_alternatives_for_storage_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/632D777C-B744-E68E-ECE5-11E0C29334E3</guid>
<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>atomic</g:label>
<g:label>hazardous waste</g:label>
<g:label>nuclear</g:label>
<g:label>radioactive waste</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>STUK &amp; OCRWMb</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Expansion of hypoxia and anoxia zones in the northwest of the Black Sea </title>
<link>http://maps.grida.no/go/graphic/expansion_of_hypoxia_and_anoxia_zones_in_the_northwest_of_the_black_sea_giwa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:14 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/expansion_of_hypoxia_and_anoxia_zones_in_the_northwest_of_the_black_sea_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>161</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/expansion_of_hypoxia_and_anoxia_zones_in_the_northwest_of_the_black_sea_giwa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9BCE64BE-ABBE-48B3-9A50-D4FC40261D75</guid>
<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>hypoxia</g:label>
<g:label>anoxia</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>37 22</gml:lowerCorner>
<gml:upperCorner>50 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Expected impacts of climate change in 2050</title>
<link>http://maps.grida.no/go/graphic/expected-impacts-of-climate-change-in-2050</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</mapsgrida:designer>
<description>It is expected that by 2050 there will be threats to ecosystem services in the Andes and Mexico, in the Central American and Caribbean sub-regions, and in southeastern Brazil, while there will be negative effects on fishing in the Pacific coastal areas of Peru and Chile. The decrease in precipitation will have adverse effects on agricultural yields in several regions and countries throughout the continent. Particularly noteworthy within Latin America and the Caribbean as a whole is the high degree of vulnerability that will be seen in the Central American and Caribbean sub-regions as a result of the increased frequency of extreme events expected to occur in the wake of climate change. Moreover, the rises in the temperature of ocean surfaces will make for more frequent bleaching of coral reefs, with a negative impact on fishing and tourism.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/expected-impacts-of-climate-change-in-2050_thumbnail_006.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>241</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>It is expected that by 2050 there will be threats to ecosystem services in the Andes and Mexico, in the Central American and Caribbean sub-regions, and in southeastern Brazil, while there will be negative effects on fishing in the Pacific coastal areas of Peru and Chile. The decrease in precipitation will have adverse effects on agricultural yields in several regions and countries throughout the continent. Particularly noteworthy within Latin America and the Caribbean as a whole is the high degree of vulnerability that will be seen in the Central American and Caribbean sub-regions as a result of the increased frequency of extreme events expected to occur in the wake of climate change. Moreover, the rises in the temperature of ocean surfaces will make for more frequent bleaching of coral reefs, with a negative impact on fishing and tourism.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/expected-impacts-of-climate-change-in-_059.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/16E06AB8-12EF-CFE2-DCE3-13B86FBC2C6A</guid>
<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Landa, R., B. Ávila y M. Hernández. 2010. Cambio Climático y Desarrollo Sustentable para América Latina y el Caribe. Conocer para Comunicar. British Council, PNUD México, Cátedra UNESCO-IMTA, FLACSO México. México D.F. 140 pp.</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Exploitation status of marine fish stocks</title>
<link>http://maps.grida.no/go/graphic/exploitation-status-of-marine-fish-stocks</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data.</description>
<pubDate>Mon, 05 Oct 2009 14:04:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/exploitation-status-of-marine-fish-stocks_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>94</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/exploitation-status-of-marine-fish-stocks_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1165D9C9-D584-64FA-FCC1-119D6118B828</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>SAUP 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Exploratory oil wells in the Mackenzie region of NWT,Canada</title>
<link>http://maps.grida.no/go/graphic/exploratory-oil-wells-in-the-mackenzie-region-of-nwt-canada</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Karl Cox, Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Mackenzie delta and valley in the Northwest Territories, Canada (NWT) has seen a significant increase in the oil prospecting and exploration activity. This map shows the increase, over time, of oil wells between 1990 and 2001.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/exploratory_oil_wells_in_the_mackenzie_region_of_nwt_canada_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>172</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Karl Cox, Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Mackenzie delta and valley in the Northwest Territories, Canada (NWT) has seen a significant increase in the oil prospecting and exploration activity. This map shows the increase, over time, of oil wells between 1990 and 2001.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/exploratory_oil_wells_in_the_mackenzie_region_of_nwt_canada_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7099B6DB-1FB5-48C0-9CD4-798DA66C6479</guid>
<g:label>nwt</g:label>
<g:label>Mackenzie</g:label>
<g:label>oil</g:label>
<g:label>human impact</g:label>
<g:label>natural resources</g:label>
<dc:contributor>Karl Cox, Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nwt</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Wildlife Fund (WWF) Canada 2002.
Northwest Territories, Canada Digital Atlas.</dc:source>
<geo:lat>70</geo:lat>
<geo:long>-119.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 -137</gml:lowerCorner>
<gml:upperCorner>80 -102</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Export of fisheries products in Africa</title>
<link>http://maps.grida.no/go/graphic/export-of-fisheries-products-in-africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>For some African countries, particularly in West-Africa and to lesser extent also countries along the Indian Ocean, fisheries contribute significantly to exports. Remarkable is also that the fish sector is important for a landlocked country like Uganda bordering Victoria Lake. </description>
<pubDate>Tue, 07 Oct 2008 16:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/export-of-fisheries-products-in-africa_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>213</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>For some African countries, particularly in West-Africa and to lesser extent also countries along the Indian Ocean, fisheries contribute significantly to exports. Remarkable is also that the fish sector is important for a landlocked country like Uganda bordering Victoria Lake. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/export-of-fisheries-products-in-africa_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CF027229-B31F-1165-D128-11314B8C7CA2</guid>
<g:label>geoafrica</g:label>
<g:label>fisheries</g:label>
<g:label>development</g:label>
<g:label>marine</g:label>
<g:label>lacustrine</g:label>
<g:label>aquaculture</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO Fishery Information, Data and Statistics Unit. 2006. FISHSTAT Plus - Fisheries commodities production and trade 1976-2004. http://www.fao.org/fi/statist/FISOFT/FISHPLUS.asp (accessed September 27, 2006)
World Resources Institute. 2006. Earthtrends - Trade in Goods and Services: Exports of goods and services. http://earthtrends.wri.org/searchable_db/index.php?theme=5 (accessed September 27, 2006)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Export of Hazardous Wastes and Other Wastes from Switzerland in 1997</title>
<link>http://maps.grida.no/go/graphic/export_of_hazardous_wastes_and_other_wastes_from_switzerland_in_1997</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic shows the amounts of hazardous waste exported from Switzerland in 1997 according to export data and according to import data, as reported by parties to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal. It also shows the amount of waste that was disposed of, and the methods of disposal used, according to both sets of data. The graphic also illustrates the amount and type of materials that were recycled according to both sets of data. No information is presented on waste that was handled according to 'unspecified or mixed operations'.
Note: Category Y19-Y45 refers to wastes having as constituents various hazardous substances. Further explanation of Y categories can be found in Appendix 2 of the Guide to the Basel Convention Control System for Hazardous Wastes at http://www.basel.int/pub/instruct.html#appendix2.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_export_of_hazardous_wastes_and_other_wastes_from_switzerland_in_1997.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>330</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic shows the amounts of hazardous waste exported from Switzerland in 1997 according to export data and according to import data, as reported by parties to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal. It also shows the amount of waste that was disposed of, and the methods of disposal used, according to both sets of data. The graphic also illustrates the amount and type of materials that were recycled according to both sets of data. No information is presented on waste that was handled according to &apos;unspecified or mixed operations&apos;.
Note: Category Y19-Y45 refers to wastes having as constituents various hazardous substances. Further explanation of Y categories can be found in Appendix 2 of the Guide to the Basel Convention Control System for Hazardous Wastes at http://www.basel.int/pub/instruct.html#appendix2.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/export_of_hazardous_wastes_and_other_wastes_from_switzerland_in_1997.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/3218A86A-7215-42AD-B68F-689D2D7FEA4D</guid>
<g:label>CH</g:label>
<g:label>Basel Convention</g:label>
<g:label>hazardous waste imports</g:label>
<g:label>transport of hazardous waste</g:label>
<g:label>transboundary movement of hazardous waste</g:label>
<g:label>international movement of hazardous waste</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CH</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Secretariat of the Basel Convention (data as reported by the parties); http://www.basel.int, Email: sbc@unep.ch</dc:source>
<geo:lat>46</geo:lat>
<geo:long>7.5</geo:long>
<georss:where>
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<gml:upperCorner>47 10</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>Export of Hazardous Wastes and Other Wastes from Switzerland to Other Countries in 1997 Based on Export Data</title>
<link>http://maps.grida.no/go/graphic/export_of_hazardous_wastes_and_other_wastes_from_switzerland_to_other_countries_in_1997_based_on_export_data</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic shows the amounts of hazardous wastes and other wastes, in tonnes, exported from Switzerland to other countries in 1997. The amounts are based on export data, and shows that Switzerland exported wastes to the following countries: the United States, the United Kingdom, Belgium, France, Spain, Italy, Austria, Germany, the Netherlands and Finland. The graphic shows that by far the largest amount of waste was exported to Germany. This graphic should be compared with Figure 22, which is based on import data and is located at http://www.grida.no/db/maps/collection/basel/22.pdf.
Explanatory note from the full report: 'These figures reflect Swiss exports for wastes generated in Switzerland. Small quantities (120 metric tonnes) of hazardous wastes [were] exported to the USA for disposal and recycling.'</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_export_of_hazardous_wastes_and_other_wastes_from_switzerland_to_other_countries_in_1997_based_on_export_data.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>153</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic shows the amounts of hazardous wastes and other wastes, in tonnes, exported from Switzerland to other countries in 1997. The amounts are based on export data, and shows that Switzerland exported wastes to the following countries: the United States, the United Kingdom, Belgium, France, Spain, Italy, Austria, Germany, the Netherlands and Finland. The graphic shows that by far the largest amount of waste was exported to Germany. This graphic should be compared with Figure 22, which is based on import data and is located at http://www.grida.no/db/maps/collection/basel/22.pdf.
Explanatory note from the full report: &apos;These figures reflect Swiss exports for wastes generated in Switzerland. Small quantities (120 metric tonnes) of hazardous wastes [were] exported to the USA for disposal and recycling.&apos;</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/export_of_hazardous_wastes_and_other_wastes_from_switzerland_to_other_countries_in_1997_based_on_export_data.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D68FA324-4E89-43B9-9118-4524F9E3009C</guid>
<g:label>CH</g:label>
<g:label>Basel Convention</g:label>
<g:label>transport of hazardous waste</g:label>
<g:label>transboundary movement of hazardous waste</g:label>
<g:label>international movement of hazardous waste</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CH</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Secretariat of the Basel Convention (data as reported by the parties); http://www.basel.int, Email: sbc@unep.ch</dc:source>
<geo:lat>46</geo:lat>
<geo:long>7.5</geo:long>
<georss:where>
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<gml:upperCorner>47 10</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>Export of Hazardous Wastes and Other Wastes from Switzerland to Other Countries in 1997 Based on Import Data</title>
<link>http://maps.grida.no/go/graphic/export_of_hazardous_wastes_and_other_wastes_from_switzerland_to_other_countries_in_1997_based_on_import_data</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic shows the amounts of hazardous wastes and other wastes, in tonnes, exported from Switzerland to other countries in 1997. The amounts are based on import data, and the graphic shows that Switzerland exported wastes to the following countries: the United Kingdom, Belgium, Spain, Austria, Germany, the Netherlands and Finland. It shows that by far the largest amount of waste was exported to Germany. The graphic should be compared with Figure 19, which is based on import data and is located at http://www.grida.no/db/maps/collection/basel/19.pdf.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_export_of_hazardous_wastes_and_other_wastes_from_switzerland_to_other_countries_in_1997_based_on_import_data_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>159</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic shows the amounts of hazardous wastes and other wastes, in tonnes, exported from Switzerland to other countries in 1997. The amounts are based on import data, and the graphic shows that Switzerland exported wastes to the following countries: the United Kingdom, Belgium, Spain, Austria, Germany, the Netherlands and Finland. It shows that by far the largest amount of waste was exported to Germany. The graphic should be compared with Figure 19, which is based on import data and is located at http://www.grida.no/db/maps/collection/basel/19.pdf.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/export_of_hazardous_wastes_and_other_wastes_from_switzerland_to_other_countries_in_1997_based_on_import_data_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/64B19176-1663-421B-AB4D-AF8098BC0F24</guid>
<g:label>CH</g:label>
<g:label>Basel Convention</g:label>
<g:label>transport of hazardous waste</g:label>
<g:label>transboundary movement of hazardous waste</g:label>
<g:label>international movement of hazardous waste</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CH</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Secretariat of the Basel Convention (data as reported by the parties); http://www.basel.int, Email: sbc@unep.ch</dc:source>
<geo:lat>46</geo:lat>
<geo:long>7.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>45 5</gml:lowerCorner>
<gml:upperCorner>47 10</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>Export of waste as reported by Germany, in tonnes, 2001</title>
<link>http://maps.grida.no/go/graphic/export_of_waste_as_reported_by_germany_in_tonnes_2001</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In 2000 Germany reported sending more than threehundred thousand tonnes of waste to 14 countries. All countries appeared to receive a broad combination of hazardous waste apart from China, which received nearly 50 tonnes of household waste. In year 2000, Germany was amongst the top importers, bringing in over 1 million tonnes of waste from 38 countries. Most of the waste came from the Netherlands, Italy, Luxemburg and Belgium and contained a combination of waste streams.</description>
<pubDate>Thu, 09 Feb 2006 21:56:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/export_of_waste_as_reported_by_germany_in_tonnes_2001_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>140</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In 2000 Germany reported sending more than threehundred thousand tonnes of waste to 14 countries. All countries appeared to receive a broad combination of hazardous waste apart from China, which received nearly 50 tonnes of household waste. In year 2000, Germany was amongst the top importers, bringing in over 1 million tonnes of waste from 38 countries. Most of the waste came from the Netherlands, Italy, Luxemburg and Belgium and contained a combination of waste streams.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/export_of_waste_as_reported_by_germany_in_tonnes__002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/54F20EB2-12FB-AD20-0C42-144C8FB486EC</guid>
<g:label>DE</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>germany</g:label>
<g:label>economy</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>DE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Basel Convention</dc:source>
<geo:lat>51</geo:lat>
<geo:long>10</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>47 5</gml:lowerCorner>
<gml:upperCorner>55 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Export volumes of pharmaceutical plants from Bulgaria, Albania, Croatia and Romania in 2000</title>
<link>http://maps.grida.no/go/graphic/export-volumes-of-pharmaceutical-plants-from-bulgaria-albania-croatia-and-romania-in-2000</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</mapsgrida:designer>
<description>The greater Balkan region is remarkably rich with the potential to play an important part in the regional and global market for medicinal plants. In terms of quantity, Bulgaria and Albania are the two leading exporters in southeast Europe, the former ranking among the top 10 exporters worldwide.</description>
<pubDate>Sun, 10 Feb 2008 14:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/export-volumes-of-pharmaceutical-plants-from-bulgaria-albania-croatia-and-romania-in-2000_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</g:author>
<mapsgrida:descriptionnonhtml>The greater Balkan region is remarkably rich with the potential to play an important part in the regional and global market for medicinal plants. In terms of quantity, Bulgaria and Albania are the two leading exporters in southeast Europe, the former ranking among the top 10 exporters worldwide.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/export-volumes-of-pharmaceutical-plants-from-bulgaria-albania-croatia-and-romania-in-2000.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/113C1F9F-B2FE-7095-EE15-D495C943DEF7</guid>
<g:label>balkan</g:label>
<g:label>economy</g:label>
<g:label>pharmaceuticals</g:label>
<g:label>medicine</g:label>
<g:label>natural remedies</g:label>
<g:label>trade</g:label>
<g:label>exports</g:label>
<dc:contributor>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</dc:contributor>
<dc:coverage>balkan</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNCDTAD-COMTRADE database, United Nations Statistics Division, New York.</dc:source>
<geo:lat>41</geo:lat>
<geo:long>19.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 13</gml:lowerCorner>
<gml:upperCorner>47 26</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Export waste as reported by Australia, in tonnes, 2001</title>
<link>http://maps.grida.no/go/graphic/export-waste-as-reported-by-australia-in-tonnes-2001</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Australia is not a big player in the waste trade, but a good percentage of its exports are shipped all the way to Europe. In 2000 Australia reported the export of 16 689 tonnes of waste (all classifi ed as hazardous) to New
Zealand, Belgium, Great Britain, France and Austria. More than half the waste consisted of used lead acid batteries, which were moved across the Tasman Sea to New Zealand. Most
of the rest of the waste (described as lead dross) was exported to Belgium. During that same period Australia imported 1600 tonnes of waste from New Zealand, Norway, French Antarctic and South Africa. This included mostly copper and lead compounds from New Zealand, selenium from Norway and household waste from the French Antarctic base.</description>
<pubDate>Thu, 09 Feb 2006 21:46:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/export_waste_as_reported_by_australia_in_tonnes_2001_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>132</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Australia is not a big player in the waste trade, but a good percentage of its exports are shipped all the way to Europe. In 2000 Australia reported the export of 16 689 tonnes of waste (all classifi ed as hazardous) to New
Zealand, Belgium, Great Britain, France and Austria. More than half the waste consisted of used lead acid batteries, which were moved across the Tasman Sea to New Zealand. Most
of the rest of the waste (described as lead dross) was exported to Belgium. During that same period Australia imported 1600 tonnes of waste from New Zealand, Norway, French Antarctic and South Africa. This included mostly copper and lead compounds from New Zealand, selenium from Norway and household waste from the French Antarctic base.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/export_waste_as_reported_by_australia_in_tonnes__002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13C94D1A-1487-DE65-3605-6CD929476FB3</guid>
<g:label>AU</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>economy</g:label>
<g:label>trade</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AU</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Basel Convention</dc:source>
<geo:lat>-32</geo:lat>
<geo:long>135</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-54 112</gml:lowerCorner>
<gml:upperCorner>-10 158</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Exportations agricoles totales</title>
<link>http://maps.grida.no/go/graphic/exportations-agricoles-totales</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Les échanges céréaliers mondiaux dans le domaine agricole se sont accrus à un rythme constant au cours des dernières décennies. L’OCDE a toujours été une grande exportatrice nette de céréales, alors que l'Asie en est devenue une grande importatrice nette</description>
<pubDate>Mon, 08 Jun 2009 18:34:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/exportations-agricoles-totales_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>257</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Les échanges céréaliers mondiaux dans le domaine agricole se sont accrus à un rythme constant au cours des dernières décennies. L’OCDE a toujours été une grande exportatrice nette de céréales, alors que l&apos;Asie en est devenue une grande importatrice nette</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/exportations-agricoles-totales_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1041CF51-1428-1118-F5ED-99AB58F33B6D</guid>
<g:label>global</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agricultural Organization of the United Nations (FAO). 2005. The State of Food and Agriculture 2005: Agricultural Trade and Poverty. Can the Poor Benefit from Trade. Rome: UN Food and Agriculture Organization.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Exports of pharmaceutical plants from Central Europe compared to gross national income (GNI) per capita</title>
<link>http://maps.grida.no/go/graphic/exports-of-pharmaceutical-plants-from-central-europe-compared-to-gross-national-income-gni-per-capit</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</mapsgrida:designer>
<description>The Balkans are one of the most competitive sources on the world market. However, stocks of many wild species have recently declined. Some species are now rare or endangered due to the loss of their natural habitat, excessive picking, soil erosion and other factors.</description>
<pubDate>Sun, 10 Feb 2008 09:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/exports-of-pharmaceutical-plants-from-central-europe-compared-to-gross-national-income-gni-per-capit_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</g:author>
<mapsgrida:descriptionnonhtml>The Balkans are one of the most competitive sources on the world market. However, stocks of many wild species have recently declined. Some species are now rare or endangered due to the loss of their natural habitat, excessive picking, soil erosion and other factors.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/exports-of-pharmaceutical-plants-from-central-europe-compared-to-gross-national-income-gni-per-capit_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EDD3534C-B0AE-94AE-2BCD-92181D8B1526</guid>
<g:label>balkan</g:label>
<g:label>pharmaceutical</g:label>
<g:label>plants</g:label>
<g:label>natural medicine</g:label>
<g:label>economy</g:label>
<g:label>export</g:label>
<g:label>trade</g:label>
<dc:contributor>Philippe Rekacewicz, Stephane Kluser, Matthias Beilstein, Ieva Rucevska, Cecile Marin, Otto Simonett</dc:contributor>
<dc:coverage>balkan</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNCDTAD-COMTRADE database, United Nations Division, New York; The World Bank database, 2005.</dc:source>
<geo:lat>41</geo:lat>
<geo:long>19.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 13</gml:lowerCorner>
<gml:upperCorner>47 26</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Extent of cultivated systems, 2000</title>
<link>http://maps.grida.no/go/graphic/extent-of-cultivated-systems-2000</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>More land was converted to cropland in the 30 years after 1950 than in the 150 years between 1700 and 1850. Cultivated systems (areas where at least 30% of the landscape is in croplands,shifting cultivation, confined livestock production, or freshwater aquaculture) now cover one quarter of Earth’s terrestrial surface. </description>
<pubDate>Sun, 03 Feb 2008 17:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/extent-of-cultivated-systems-2000_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>122</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>More land was converted to cropland in the 30 years after 1950 than in the 150 years between 1700 and 1850. Cultivated systems (areas where at least 30% of the landscape is in croplands,shifting cultivation, confined livestock production, or freshwater aquaculture) now cover one quarter of Earth’s terrestrial surface. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/extent-of-cultivated-systems-_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9FE5FC80-A0F2-C525-EF98-77534ECEDA0C</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>land usage</g:label>
<g:label>cultivation</g:label>
<g:label>desertification</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Extent of deforestation in Borneo 1950-2005, and projection towards 2020</title>
<link>http://maps.grida.no/go/graphic/extent-of-deforestation-in-borneo-1950-2005-and-projection-towards-2020</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The tropical lowland and highland forests of Borneo, including vast expanses of rainforest, have decreased rapidly after the end of the second world war. Forests are burned, logged and clear, and commonly replaced with agricultural land, built-up areas or palm oil plantations. These areas represent habitat for species, such as Orangutan and elephants.</description>
<pubDate>Tue, 06 Feb 2007 11:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/extent-of-deforestation-in-borneo-1950-2005-and-projection-towards-2020_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>170</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The tropical lowland and highland forests of Borneo, including vast expanses of rainforest, have decreased rapidly after the end of the second world war. Forests are burned, logged and clear, and commonly replaced with agricultural land, built-up areas or palm oil plantations. These areas represent habitat for species, such as Orangutan and elephants.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/extent-of-deforestation-in-borneo-1950-2005-and-projection-towards-2020.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/119C3DB0-1051-1397-0046-112515934F8A</guid>
<g:label>borneo</g:label>
<g:label>biodiversity</g:label>
<g:label>conservation</g:label>
<g:label>forest</g:label>
<g:label>tropical forest</g:label>
<g:label>rain forest</g:label>
<g:label>forestry</g:label>
<g:label>apes</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>borneo</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Radday, M, WWF Germany. 2007. 'Borneo Maps'. January 24, 2007, personal e-mail (January 24, 2007)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>112.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-10 105</gml:lowerCorner>
<gml:upperCorner>10 120</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Extent of Pollution over Asia</title>
<link>http://maps.grida.no/go/graphic/extent-of-pollution-over-asia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 21:54:43 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/extent-of-pollution-over-asia_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>139</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/extent-of-pollution-over-asia.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14AD12A0-16A7-14D0-18E1-175A30657485</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ABC et al. 2002</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>External debt in the Southern Caucasus</title>
<link>http://maps.grida.no/go/graphic/external_debt_in_the_southern_caucasus</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</description>
<pubDate>Sun, 12 Mar 2006 09:25:19 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_external_debt_in_the_southern_caucasus.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>352</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Peacefully resolving the overriding political, economic and social concerns of our time requires a multifaceted approach, including mechanisms to address the links between the natural environment and human security. UNDP, UNEP, OSCE and NATO have joined forces in the Environment and Security (ENVSEC) Initiative to offer countries their combined pool of expertise and resources towards that aim.
ENVSEC assessment of environment and security linkages in the South Caucasus was completed in 2004 and presented at the Ministerial meeting of EECCA countries in Tbilisi. The assessment as well as already on-going initiatives form a basis for an ENVSEC work programme in the region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/external_debt_in_the_southern_caucasus.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/6D79862B-7348-4A93-AA38-C8B7E5B0260C</guid>
<g:label>caucasus</g:label>
<g:label>security</g:label>
<g:label>conflict</g:label>
<g:label>nis</g:label>
<g:label>cee</g:label>
<g:label>caucasus</g:label>
<g:label>soviet</g:label>
<g:label>debt</g:label>
<g:label>economy</g:label>
<g:label></g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>caucasus</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IMF ( International Monetary Fund)</dc:source>
<geo:lat>37</geo:lat>
<geo:long>45.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 39</gml:lowerCorner>
<gml:upperCorner>46 52</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Extraction activities and disputed areas in the Barents Sea</title>
<link>http://maps.grida.no/go/graphic/extraction_activities_and_disputed_areas_in_the_barents_sea</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Norway and the Russian federation are currently disagreeing on the exact definition of their respective zones in the Barents Sea. The cause of the dispute is based on the special status that Svalbard has, as an International territory, under Norwegian stewardship - in some ways similar to Antarctica. The disputed is expected to be solved through bilateral agreements. The Barents Sea is currently a hot area for developing new sites for extraction of oil and gas - the map highlights the Snøhvit, Goliat and Shtokman fields. Note that the designations used on this map do not imply official endorsement or acceptance by the United Nations, UNEP or UNEP/GRID-Arendal.</description>
<pubDate>Mon, 29 Jan 2007 12:01:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_extraction_activities_and_disputed_areas_in_the_barents_sea_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>183</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Norway and the Russian federation are currently disagreeing on the exact definition of their respective zones in the Barents Sea. The cause of the dispute is based on the special status that Svalbard has, as an International territory, under Norwegian stewardship - in some ways similar to Antarctica. The disputed is expected to be solved through bilateral agreements. The Barents Sea is currently a hot area for developing new sites for extraction of oil and gas - the map highlights the Snøhvit, Goliat and Shtokman fields. Note that the designations used on this map do not imply official endorsement or acceptance by the United Nations, UNEP or UNEP/GRID-Arendal.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_extraction_activities_and_disputed_areas_in_the_barents_sea_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/AF5BE078-A474-1133-A098-FA51457734A3</guid>
<g:label>barentssea</g:label>
<g:label>natural resources</g:label>
<g:label>oil</g:label>
<g:label>gas</g:label>
<g:label>extraction</g:label>
<g:label>territorial disputes</g:label>
<g:label>marine issues</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentssea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ESRI Inc. 1993. Digital Chart of the World. Redlands, USA: ESRI.
ESRI Inc. 1992. ArcWorld 1:3M. Redlands, USA: ESRI.
Norwegian Petroleum Directorate. 2006. od_mainmap ArcIMS map service. http://217.68.117.237 (accessed July 20, 2006)
Mareano. 2006. mareano_oljemiljo_2 ArcIMS map service. http://www.ngu.no (accessed July 21, 2006)
NGA. 2000. VMAP 0, Version 5. http://geoengine.nga.mil/ geospatial/SW_TOOLS/NIMAMUSE/webinter/rast_roam.html (accessed July 14, 2006)
Patterson, T. 2006. CleanTOPO2. http://www.shadedrelief.com/cleantopo2/ (accessed July 20, 2006)
Strande, K. 2006.'Kart for UD'. June 15, 2006, personal email. (June 15 2006)</dc:source>
<geo:lat>75.5</geo:lat>
<geo:long>39.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>66 9</gml:lowerCorner>
<gml:upperCorner>85 70</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Extreme days and nights - daylight variation in the Arctic: Reykjavik, Murmansk and Alert</title>
<link>http://maps.grida.no/go/graphic/extreme-days-and-nights-daylight-variation-in-the-arctic-reykjavik-murmansk-and-alert</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Arctic and Antarctic have long nights in the winter and long days in the summer. Above the Arctic Circle (66 °N), there is at least one day with no sun– polar night, and one day with no night— midnight sun. This graph shows the length of day through the year for three places in the Arctic: Reykjavik, Iceland, is the only national capital in the Arctic, Murmansk, Russia, is one of the largest cities in the nort and finally Alert, Canada, the northernmost inhabited place on Earth. Alert experiences 4½ months with the sun below the horizon (polar night) in the winter, and 4½ months of midnight sun.
</description>
<pubDate>Thu, 31 Jul 2008 20:20:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/extreme-days-and-nights-daylight-variation-in-the-arctic-reykjavik-murmansk-and-alert_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>210</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>210</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Arctic and Antarctic have long nights in the winter and long days in the summer. Above the Arctic Circle (66 °N), there is at least one day with no sun– polar night, and one day with no night— midnight sun. This graph shows the length of day through the year for three places in the Arctic: Reykjavik, Iceland, is the only national capital in the Arctic, Murmansk, Russia, is one of the largest cities in the nort and finally Alert, Canada, the northernmost inhabited place on Earth. Alert experiences 4½ months with the sun below the horizon (polar night) in the winter, and 4½ months of midnight sun.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/extreme-days-and-nights-daylight-variation-in-the-arctic-reykjavik-murmansk-and-alert_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E6342378-9F54-119B-1DB2-84BF2DE105E0</guid>
<g:label>geoarctic</g:label>
<g:label>ipy</g:label>
<g:label>arctic</g:label>
<g:label>day</g:label>
<g:label>midnight sun</g:label>
<g:label>polar night</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Conrad, J. 2007. The Sun/Moon Calculator. http://www.largeformatphotography.info/sunmooncalc/ (Accessed January 1, 2008)</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Factors influencing the greenhouse effect</title>
<link>http://maps.grida.no/go/graphic/factors_influencing_the_greenhouse_effect</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>There are three main factors that directly influence the energy balance of the earth: the total energy influx, which depends on the earth's distance from the sun and on solar activity; the chemical composition of the atmosphere, and albedo, the ability of the earth's surface to reflect light. The only factor that has changed significantly in the last 100 years is the chemical composition of the atmosphere. This resource also includes a graphic that shows how the amounts of carbon dioxide (in parts per million), methane (in parts per billion) and nitrous oxide (in parts per billion) in the earth's atmosphere have increased from the year 1000 to the year 2000. The graphic also shows how the amount of radiative forcing, in watts per square metre, has increased for each chemical.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/factors_influencing_the_greenhouse_effect_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>135</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>There are three main factors that directly influence the energy balance of the earth: the total energy influx, which depends on the earth&apos;s distance from the sun and on solar activity; the chemical composition of the atmosphere, and albedo, the ability of the earth&apos;s surface to reflect light. The only factor that has changed significantly in the last 100 years is the chemical composition of the atmosphere. This resource also includes a graphic that shows how the amounts of carbon dioxide (in parts per million), methane (in parts per billion) and nitrous oxide (in parts per billion) in the earth&apos;s atmosphere have increased from the year 1000 to the year 2000. The graphic also shows how the amount of radiative forcing, in watts per square metre, has increased for each chemical.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/factors_influencing_the_greenhouse_effect.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/267F3EFE-DF2C-4E88-9232-6FA332CB47A1</guid>
<g:label>global</g:label>
<g:label>albedo</g:label>
<g:label>solar influx</g:label>
<g:label>solar energy influx</g:label>
<g:label>climate change</g:label>
<g:label>radiative forcing</g:label>
<g:label>greenhouse effect</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>See graphic for complete list of sources.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>FAO Commodity Price Indices</title>
<link>http://maps.grida.no/go/graphic/fao-commodity-price-indices</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Although production has generally increased, the rising prices
coincided with extreme weather events in several major cereal
producing countries, which resulted in a depletion of cereal
stocks. The 2008 world cereal stocks are forecast to fall to their
lowest levels in 30 years time, to 18.7% of utilization or only 66
days of food (FAO, 2008).</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fao-commodity-price-indices_thumbnail_005.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>83</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Although production has generally increased, the rising prices
coincided with extreme weather events in several major cereal
producing countries, which resulted in a depletion of cereal
stocks. The 2008 world cereal stocks are forecast to fall to their
lowest levels in 30 years time, to 18.7% of utilization or only 66
days of food (FAO, 2008).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fao-commodity-price-indices_005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/164BF0C8-7352-B44D-63B8-EA38064672BC</guid>
<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agricultural Organization of the United Nations (FAO). 2008. Food Outlook, June 2007. http://www.fao.org/docrep/010/ah864e/ah864e00.htm (Accessed November 10, 2008)
Food and Agricultural Organization of the United Nations (FAO). 2008. Food Outlook, November 2008. http://www.fao.org/docrep/011/ai474e/ai474e16.htm (Accessed November 10, 2008)
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>FAO Food price index (FFPI)</title>
<link>http://maps.grida.no/go/graphic/fao-food-price-index-ffpi</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>The current world food crisis is the result of the combined effects of competition for cropland
from the growth in biofuels, low cereal stocks, high oil prices, speculation in food
markets and extreme weather events. The crisis has resulted in a several-fold increase in
several central commodity prices, driven 110 million people into poverty and added 44
million more to the already undernourished. Information on the role and constraints of
the environment in increasing future food production is urgently needed. While food
prices are again declining, they still widely remain above 2004 levels.</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fao-food-price-index-ffpi_thumbnail_005.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>92</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>The current world food crisis is the result of the combined effects of competition for cropland
from the growth in biofuels, low cereal stocks, high oil prices, speculation in food
markets and extreme weather events. The crisis has resulted in a several-fold increase in
several central commodity prices, driven 110 million people into poverty and added 44
million more to the already undernourished. Information on the role and constraints of
the environment in increasing future food production is urgently needed. While food
prices are again declining, they still widely remain above 2004 levels.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fao-food-price-index-ffpi_005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8C460397-9288-FB0E-0D9F-143F597E4BB3</guid>
<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agricultural Organization of the United Nations (FAO). 2008. Food Outlook, June 2007. http://www.fao.org/docrep/010/ah864e/ah864e00.htm (Accessed November 10, 2008)
Food and Agricultural Organization of the United Nations (FAO). 2008. Food Outlook, November 2008. http://www.fao.org/docrep/011/ai474e/ai474e16.htm (Accessed November 10, 2008)
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Female Literacy and accessibility (Burkina Faso and Mali)</title>
<link>http://maps.grida.no/go/graphic/female_literacy_and_accessibility_burkina_faso_and_mali</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Manon Desforges, Anne Estoppey, Anila Ciba, Philippe Rekacewicz, Emmanuelle Bournay, Claudia Hebrlein, Otto Simonett</mapsgrida:designer>
<description>Burkina Faso and Mali have an extremely high percentage of adult female literacy. This map helps demonstrate the possible correlation between the level of access to markets and infrastructures based on road quality and town size to the levels of literacy.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/female_literacy_and_accessibility_burkina_faso_and_mali_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>137</mapsgrida:thumbnailHeight>
<g:author>Manon Desforges, Anne Estoppey, Anila Ciba, Philippe Rekacewicz, Emmanuelle Bournay, Claudia Hebrlein, Otto Simonett</g:author>
<mapsgrida:descriptionnonhtml>Burkina Faso and Mali have an extremely high percentage of adult female literacy. This map helps demonstrate the possible correlation between the level of access to markets and infrastructures based on road quality and town size to the levels of literacy.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/female_literacy_and_accessibility_burkina_faso_and_mali.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/92EA3E04-3FA6-40EE-9C80-B10BB4D23F26</guid>
<g:label>ML</g:label>
<g:label>poverty</g:label>
<g:label>education</g:label>
<g:label>literacy</g:label>
<g:label>female</g:label>
<g:label>gender</g:label>
<dc:contributor>Manon Desforges, Anne Estoppey, Anila Ciba, Philippe Rekacewicz, Emmanuelle Bournay, Claudia Hebrlein, Otto Simonett</dc:contributor>
<dc:coverage>ML</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Digital data source: Demographic Health Survey Points: West Africa Spatial Analysis Prototype (WASAP) dataset, 1995. Accessibility: Road Network digitized from IGN maps, surfaces produced by Uwe Deichmann, 1997.</dc:source>
<geo:lat>17.5</geo:lat>
<geo:long>-4</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>10 -12</gml:lowerCorner>
<gml:upperCorner>25 4</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fertilizer consumption in the Nordic countries, 1980-1996</title>
<link>http://maps.grida.no/go/graphic/fertilizer-consumption-in-the-nordic-countries-1980-1996</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows the consumption of fertilizers in the Nordic countries form 1980 to 1996 with projections to 2006. The fertilizers included are phosphate, Potash and Nitrogen which are the three most important nutrients for crop growth. </description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fertilizer-consumption-in-the-nordic-countries-1980-1996_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows the consumption of fertilizers in the Nordic countries form 1980 to 1996 with projections to 2006. The fertilizers included are phosphate, Potash and Nitrogen which are the three most important nutrients for crop growth. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fertilizer-consumption-in-the-nordic-countries-1980-1996.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F8675407-5775-466F-87FA-45542BF2B86C</guid>
<g:label>nordic</g:label>
<g:label>fertiliser</g:label>
<g:label>agriculture</g:label>
<g:label>nitrogen</g:label>
<g:label>phosphate</g:label>
<g:label>potassium</g:label>
<g:label>potash</g:label>
<g:label>eutrophication</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>nordic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO, EFMA, 1997</dc:source>
<geo:lat>68</geo:lat>
<geo:long>3</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>54 -25</gml:lowerCorner>
<gml:upperCorner>82 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fiji, topographic map</title>
<link>http://maps.grida.no/go/graphic/fiji-topographic-map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Republic of Fiji is a small island country in the South Pacific Ocean. The country has a population of 850 000 people spread out over an archipelago of islands. The largest ones, Viti Levu and Vanua Leva houses the majority of the inhabitants. </description>
<pubDate>Mon, 02 Jun 2008 21:19:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fiji-topographic-map_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>226</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Republic of Fiji is a small island country in the South Pacific Ocean. The country has a population of 850 000 people spread out over an archipelago of islands. The largest ones, Viti Levu and Vanua Leva houses the majority of the inhabitants. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fiji-topographic-map_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/138103DF-1659-1640-D965-E5D868E93266</guid>
<g:label>FJ</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>FJ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>n/a</dc:source>
<geo:lat>-17.5</geo:lat>
<geo:long>175.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-19 171</gml:lowerCorner>
<gml:upperCorner>-16 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fin de l’utilisation des Fin de l’utilisation CFC aux Etats-Unis en des CFC aux 1987</title>
<link>http://maps.grida.no/go/graphic/fin-de-l-utilisation-des-fin-de-l-utilisation-cfc-aux-etats-unis-en-des-cfc-aux-1987</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>En pourcentage de l’usage total de CFC</description>
<pubDate>Wed, 26 May 2010 18:31:40 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fin-de-l-utilisation-des-fin-de-l-utilisation-cfc-aux-etats-unis-en-des-cfc-aux-1987_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>68</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>En pourcentage de l’usage total de CFC</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fin-de-l-utilisation-des-fin-de-l-utilisation-cfc-aux-etats-unis-en-des-cfc-aux-_988.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1790D03F-17D1-7B61-0BDC-C95E731CD081</guid>
<g:label>global</g:label>
<g:label>ozone</g:label>
<g:label>resource</g:label>
<g:label>kit</g:label>
<g:label>journalist</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Agence pour la protection de l’environnement des Etats-Unis, 1992 (cité par WRI en 1996)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Financial flows for developing countries</title>
<link>http://maps.grida.no/go/graphic/financial-flows-for-developing-countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>With increased globalization and a smaller world, money flows more easily and the flows have increased. Where aid once represented a majority of the funds from high income countries to developing countries, this has now been surpassed by investments and worker’s remittances, and these flows show no sign of slowing down – maybe pausing for an occasional downturn in the global economy. The question is when this will start show as a significant decrease in poverty.</description>
<pubDate>Sat, 07 Jun 2008 03:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/financial-flows-for-developing-countries_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>182</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>With increased globalization and a smaller world, money flows more easily and the flows have increased. Where aid once represented a majority of the funds from high income countries to developing countries, this has now been surpassed by investments and worker’s remittances, and these flows show no sign of slowing down – maybe pausing for an occasional downturn in the global economy. The question is when this will start show as a significant decrease in poverty.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/financial-flows-for-developing-countries.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/97EBE779-97DC-1566-2D7F-11AFED80BB8E</guid>
<g:label>global</g:label>
<g:label>development</g:label>
<g:label>remittances</g:label>
<g:label>money</g:label>
<g:label>finances</g:label>
<g:label>economy</g:label>
<g:label>trade</g:label>
<g:label>aid</g:label>
<g:label>oda</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank. 2007. Global Development Finance 2007 Volume I. Washington DC: World Bank.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Finland emissions of greenhouse gases (CO2, CH4, N2O) 1990 and 2010 projections</title>
<link>http://maps.grida.no/go/graphic/finland_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics.</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/finland_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>198</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/finland_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/2DE528ED-0327-483E-8B29-D5DF75EB3058</guid>
<g:label>FI</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>methane</g:label>
<g:label>Finland</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>FI</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>64.5</geo:lat>
<geo:long>25</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>59 19</gml:lowerCorner>
<gml:upperCorner>70 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Finland topographic map</title>
<link>http://maps.grida.no/go/graphic/finland_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Finland is located in Northern Europe, bordering the Baltic Sea, Gulf of Bothnia, and Gulf of Finland, between Sweden and Russia, comprising 338,145 sq km. It has an estimated population of 5,223,442 (2005). Major environmental concerns are: air pollution from manufacturing and power plants contributing to acid rain; water pollution from industrial wastes, agricultural chemicals; habitat loss threatens wildlife populations.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/finland_topographic_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Finland is located in Northern Europe, bordering the Baltic Sea, Gulf of Bothnia, and Gulf of Finland, between Sweden and Russia, comprising 338,145 sq km. It has an estimated population of 5,223,442 (2005). Major environmental concerns are: air pollution from manufacturing and power plants contributing to acid rain; water pollution from industrial wastes, agricultural chemicals; habitat loss threatens wildlife populations.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/finland_topographic_map.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7FAE69E6-5BCB-4BB8-91CF-B262C2FBFB27</guid>
<g:label>FI</g:label>
<g:label>topography</g:label>
<g:label>bathymetry</g:label>
<g:label>topographic map</g:label>
<g:label>base map</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>FI</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Adapted from ETOPO5, NOAA, 1988.</dc:source>
<geo:lat>64.5</geo:lat>
<geo:long>25</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>59 19</gml:lowerCorner>
<gml:upperCorner>70 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Finland, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/finland_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Finland. Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop6_total_greenhouse_gas_emissions_finland_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from Finland. Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop6_total_greenhouse_gas_emissions_finland.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CC5A066F-063D-443F-8F0E-10714E78FC81</guid>
<g:label>FI</g:label>
<g:label>cop7</g:label>
<g:label>Finland</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>FI</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Actual emissions UNFCCC/SB1/2000/11 table B.1
Projected emissions UNFCCC/1998/Add.2 table C.6
</dc:source>
<geo:lat>64.5</geo:lat>
<geo:long>25</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>59 19</gml:lowerCorner>
<gml:upperCorner>70 31</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fire events in Tripa</title>
<link>http://maps.grida.no/go/graphic/fire-events-in-tripa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Although the burning of peat is forbidden by Indonesian law, more than 458 ﬁre hotspots have been detected by satellite in Tripa during the last 10 years, the vast majority being located within palm oil concessions.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fire-events-in-tripa_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>242</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Although the burning of peat is forbidden by Indonesian law, more than 458 ﬁre hotspots have been detected by satellite in Tripa during the last 10 years, the vast majority being located within palm oil concessions.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fire-events-in-tripa_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/611D716B-160A-6680-1C81-1083EE4468AD</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Hillshade generated from SRTM 90m DEM available from the CGIAR website (http://srtm.csi.cgiar.org/).
Fire events plotted from MODIS Terra and Aqua satellite data from Nov. 2000 to Aug. 2010 provided by the Fire Information for Resource Management System (FIRMS) (see reference: NASA/University of Maryland, 2002). Plantation concession boundaries digitized by PanEco/YEL based on concession rights maps issued by National Land Agency of Aceh Province.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fish Catch</title>
<link>http://maps.grida.no/go/graphic/fish-catch</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The worlds most productive fishing grounds are confined to major hotspots in around 7.5% of the ocean surface, where over half of the fish are caught.</description>
<pubDate>Wed, 14 Oct 2009 12:06:45 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fish-catch_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>106</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The worlds most productive fishing grounds are confined to major hotspots in around 7.5% of the ocean surface, where over half of the fish are caught.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fish-catch_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Blue</g:label>
<g:label>Carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Based on Ahlenius, H., 2008; FAO, 2008.</dc:source>
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<item>
<title>Fish catch and production</title>
<link>http://maps.grida.no/go/graphic/fish-catch-and-production</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Stéphane Kluser</mapsgrida:designer>
<description>Fishing activities have various negative impacts on marine ecosystems. The greatest cause for concern is the rapid depletion of fish population due to extensive commercial
fishing. In 2002 72% of the world’s marine fish stocks were being harvested faster than they can reproduce. Bycatch – the harvest of fish or shellfish other than the species for
which the fishing gear was set – accounts for a quarter of the total catch (27m tonnes in 2003) and much of it is lost.</description>
<pubDate>Mon, 06 Feb 2006 19:05:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fish_catch_and_production_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>112</mapsgrida:thumbnailHeight>
<g:author>Stéphane Kluser</g:author>
<mapsgrida:descriptionnonhtml>Fishing activities have various negative impacts on marine ecosystems. The greatest cause for concern is the rapid depletion of fish population due to extensive commercial
fishing. In 2002 72% of the world’s marine fish stocks were being harvested faster than they can reproduce. Bycatch – the harvest of fish or shellfish other than the species for
which the fishing gear was set – accounts for a quarter of the total catch (27m tonnes in 2003) and much of it is lost.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_fish_catch_and_production.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>fishery</g:label>
<g:label>overfishing</g:label>
<g:label>industry</g:label>
<g:label>economy</g:label>
<g:label>marine ecosystems</g:label>
<g:label>disaster</g:label>
<g:label>fisheries</g:label>
<dc:contributor>Stéphane Kluser</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO, 2004</dc:source>
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<geo:long>0</geo:long>
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<gml:upperCorner>90 180</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>Fish catch in the Black Sea over the last 30 years</title>
<link>http://maps.grida.no/go/graphic/fish_catch_in_the_black_sea_over_the_last_30_years_giwa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:18 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fish_catch_in_the_black_sea_over_the_last_30_years_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>133</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
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<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>fish</g:label>
<g:label>fisheries</g:label>
<g:label>food</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agriculture Organization (FAO)</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
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<gml:upperCorner>50 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fish catch in the Black Sea over the last 30 years, Bulgaria and Romania</title>
<link>http://maps.grida.no/go/graphic/fish_catch_in_the_black_sea_over_the_last_30_years_bulgaria_and_romania_giwa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:17 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fish_catch_in_the_black_sea_over_the_last_30_years_bulgaria_and_romania_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>127</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fish_catch_in_the_black_sea_over_the_last_30_years_bulgaria_and_romania_giwa.jpg</g:image_link>
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<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>fish</g:label>
<g:label>fisheries</g:label>
<g:label>food</g:label>
<g:label>biodiversity</g:label>
<g:label>Bulgaria</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agriculture Organization (FAO)</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
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<item>
<title>Fish catch in the Black Sea over the last 30 years, Turkey and USSR</title>
<link>http://maps.grida.no/go/graphic/fish_catch_in_the_black_sea_over_the_last_30_years_turkey_and_ussr</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.
Note for this graphic that the USSR consists of Russia, Ukraine and Georgia since 1992.</description>
<pubDate>Sun, 12 Mar 2006 09:16:18 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fish_catch_in_the_black_sea_over_the_last_30_years_turkey_and_ussr_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>127</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.
Note for this graphic that the USSR consists of Russia, Ukraine and Georgia since 1992.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fish_catch_in_the_black_sea_over_the_last_30_years_turkey_and_ussr.jpg</g:image_link>
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<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>fish</g:label>
<g:label>fisheries</g:label>
<g:label>food</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agriculture Organization (FAO)</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
<georss:where>
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<gml:lowerCorner>37 22</gml:lowerCorner>
<gml:upperCorner>50 46</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>Fish diversity in freshwater systems</title>
<link>http://maps.grida.no/go/graphic/fish_diversity_in_freshwater_systems</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Although freshwater ecosystems such as rivers, lakes and wetlands occupy less than 2% of the Earth's total land surface, they provide a wide range of habitats for a significant proportion of the world's plant and animal species. This graphic explains which areas of the world have high and low populations of fish species and of endemic fish.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fish_diversity_in_freshwater_systems_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>155</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Although freshwater ecosystems such as rivers, lakes and wetlands occupy less than 2% of the Earth&apos;s total land surface, they provide a wide range of habitats for a significant proportion of the world&apos;s plant and animal species. This graphic explains which areas of the world have high and low populations of fish species and of endemic fish.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fish_diversity_in_freshwater_systems.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>fish diversity</g:label>
<g:label>species diversity</g:label>
<g:label>biodiversity</g:label>
<g:label>freshwater</g:label>
<g:label>water</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Revenga et al., World Resources Institute (WRI), Washington DC, 1998.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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</georss:where>
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<item>
<title>Fish diversity in freshwater systems</title>
<link>http://maps.grida.no/go/graphic/fish-diversity-in-freshwater-systems</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz</mapsgrida:designer>
<description>Although freshwater ecosystems such as rivers, lakes and wetlands occupy less than 2% of the earth’s total land surface, they provide a wide range of habitats for a significant proportion of the world’s plant and animal species. Many are yet to be discovered, but the number of freshwater species worldwide is estimated at between 9,000 and 25,000 (Cosgrove and Rijsberman, 2000). However, this number is rapidly decreasing due to human interference.
Physical alteration, habitat degradation, excessive water withdrawal and pollution have contributed directly or indirectly to the decline in freshwater species. Other factors that reduce freshwater biodiversity include the incursion of non-native species and the mismanagement of inland fisheries. Today, an estimated 20% of the world’s freshwater fish is vulnerable, endangered or extinct (Revenga et al., 1998).</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fish-diversity-in-freshwater-systems_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz</g:author>
<mapsgrida:descriptionnonhtml>Although freshwater ecosystems such as rivers, lakes and wetlands occupy less than 2% of the earth’s total land surface, they provide a wide range of habitats for a significant proportion of the world’s plant and animal species. Many are yet to be discovered, but the number of freshwater species worldwide is estimated at between 9,000 and 25,000 (Cosgrove and Rijsberman, 2000). However, this number is rapidly decreasing due to human interference.
Physical alteration, habitat degradation, excessive water withdrawal and pollution have contributed directly or indirectly to the decline in freshwater species. Other factors that reduce freshwater biodiversity include the incursion of non-native species and the mismanagement of inland fisheries. Today, an estimated 20% of the world’s freshwater fish is vulnerable, endangered or extinct (Revenga et al., 1998).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fish-diversity-in-freshwater-systems_005.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>fish</g:label>
<g:label>diversity</g:label>
<g:label>freshwater</g:label>
<g:label>systems</g:label>
<g:label>vital</g:label>
<g:label>water</g:label>
<g:label>graphics</g:label>
<g:label>ecosystems</g:label>
<dc:contributor>Philippe Rekacewicz</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Revenga et al., World Resource Institute (WRI), Washington DC, 1998.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fish landings and fishing fleet in the Black Sea, 1975-1995</title>
<link>http://maps.grida.no/go/graphic/fish_landings_and_fishing_fleet_in_the_black_sea_1975_1995_giwa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:18 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fish_landings_and_fishing_fleet_in_the_black_sea_1975_1995_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>224</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fish_landings_and_fishing_fleet_in_the_black_sea_1975_1995_giwa.jpg</g:image_link>
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<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>fish</g:label>
<g:label>fisheries</g:label>
<g:label>food</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Black Sea Environmental Programme ( BSEP)v Fisheries Survey</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>37 22</gml:lowerCorner>
<gml:upperCorner>50 46</gml:upperCorner>
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</item>
<item>
<title>Fish protein world consumption </title>
<link>http://maps.grida.no/go/graphic/fish-protein-world-consumption</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Phillippe Rekacewicz, February 2006</mapsgrida:designer>
<description>Consumption of proteins from fish in % of total consumption of animal protein. </description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fish-protein-world-consumption_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>126</mapsgrida:thumbnailHeight>
<g:author>Phillippe Rekacewicz, February 2006</g:author>
<mapsgrida:descriptionnonhtml>Consumption of proteins from fish in % of total consumption of animal protein. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fish-protein-world-consumption_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C33D5B52-139B-DBC2-EF80-813C77F0C7A9</guid>
<g:label>global</g:label>
<g:label>fish</g:label>
<g:label>protein</g:label>
<g:label>world</g:label>
<g:label>consumption</g:label>
<g:label>vital</g:label>
<g:label>water</g:label>
<g:label>animal</g:label>
<g:label>protein</g:label>
<dc:contributor>Phillippe Rekacewicz, February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Earthtrend database, World Resources Institute (WRI), Washington; Faostat, Food and Agriculture Organization of the United Nations (FAO)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:upperCorner>90 180</gml:upperCorner>
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</item>
<item>
<title>Fisheries in the Southern Ocean</title>
<link>http://maps.grida.no/go/graphic/fisheries-in-the-southern-ocean</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Fisheries, together with tourism, represents a major economic activity around Antarctica. In the old days whales were hunted for oil - these days fish and krill are captured for fish meal and human consumption. The areas in the Southern Atlantic are vastly more productive, and this is where most of the fish is caught. The top fishing vessels hail from Japan, Ukraine and Poland. Worth mentioning is that these figures are still small compared to the main fishing zones of the World.</description>
<pubDate>Wed, 13 Aug 2008 20:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fisheries-in-the-southern-ocean_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>220</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Fisheries, together with tourism, represents a major economic activity around Antarctica. In the old days whales were hunted for oil - these days fish and krill are captured for fish meal and human consumption. The areas in the Southern Atlantic are vastly more productive, and this is where most of the fish is caught. The top fishing vessels hail from Japan, Ukraine and Poland. Worth mentioning is that these figures are still small compared to the main fishing zones of the World.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fisheries-in-the-southern-ocean_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/986608D0-10D5-BB8D-57AF-B0E36BCCBBD6</guid>
<g:label>AQ</g:label>
<g:label>fisheries</g:label>
<g:label>fish</g:label>
<g:label>oceans</g:label>
<g:label>marine issues</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>AQ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Fisheries Centre, University of British Columbia. 2008. Sea Around Us Project. http://www.seaaroundus.org/ (Accessed May 25, 2008)</dc:source>
<geo:lat>-75</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>-60 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fisheries under threat in the Black Sea</title>
<link>http://maps.grida.no/go/graphic/fisheries_under_threat_in_the_black_sea</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</description>
<pubDate>Sun, 12 Mar 2006 09:16:21 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fisheries_under_threat_in_the_black_sea_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>152</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustration in a set of graphics prepared for a pilot assessment report on the Black Sea drainage basin, for the UNEP Global Impact on Waters Assessment (GIWA). All data and information were prepared in close collaboration with the GIWA Black Sea team and the GIWA secretariat. The graphics were never not used in this form in the final report on the Black Sea, published in 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fisheries_under_threat_in_the_black_sea_giwa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EFC1750E-4C62-469A-A27D-FF442AEB75F3</guid>
<g:label>blacksea</g:label>
<g:label>black sea</g:label>
<g:label>water</g:label>
<g:label>giwa</g:label>
<g:label>Global International Water Assessment</g:label>
<g:label>fisheries</g:label>
<g:label>fish</g:label>
<g:label>food</g:label>
<g:label>economy</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>blacksea</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Black Sea Transboundary Diagnostic Analysis, Black Sea Envrionmental Programme (BSEP), United Nations Develpment Programme (UNDP), New York, 1997; Dimitri Kolosov (Karazin University Kharkiv, Ukraine) Philippe Rekacewicz (GRID-arendal, Norway)</dc:source>
<geo:lat>43.5</geo:lat>
<geo:long>34</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>37 22</gml:lowerCorner>
<gml:upperCorner>50 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fishing yield</title>
<link>http://maps.grida.no/go/graphic/fishing-yield</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Phillippe Rekacewicz, February 2006</mapsgrida:designer>
<description>Three-quarters of the world’s fish stocks are currently exploited to the maximum extent, if not in excess (FAO, 2000). This exploitation has had the following impacts:
- A growing variety of fishery products are being exploited. Commercial fishermen are targeting progressively smaller species at lower levels of the food chain because the main predator species are being depleted.
- Most of the world’s main fishing areas are close to full exploitation. The eastern Indian Ocean and the western central Pacific Ocean are the only areas that still show little sign of stress, and which exhibit a potential for continuing growth (FAO, 2000).
- The northeast Atlantic Ocean continues to exhibit declining catches, as well as a shift towards fish at lower levels in the food chain. Indices developed to monitor changes suggest that continued heavy fishing may lead to irreversible ecological change.
- Rivers, lakes and wetlands, which account for less than 1% of the world’s surface, but at least 8% of its fisheries production, are under mounting pressure from the growing human population (FAO, 2000).</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fishing-yield_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>108</mapsgrida:thumbnailHeight>
<g:author>Phillippe Rekacewicz, February 2006</g:author>
<mapsgrida:descriptionnonhtml>Three-quarters of the world’s fish stocks are currently exploited to the maximum extent, if not in excess (FAO, 2000). This exploitation has had the following impacts:
- A growing variety of fishery products are being exploited. Commercial fishermen are targeting progressively smaller species at lower levels of the food chain because the main predator species are being depleted.
- Most of the world’s main fishing areas are close to full exploitation. The eastern Indian Ocean and the western central Pacific Ocean are the only areas that still show little sign of stress, and which exhibit a potential for continuing growth (FAO, 2000).
- The northeast Atlantic Ocean continues to exhibit declining catches, as well as a shift towards fish at lower levels in the food chain. Indices developed to monitor changes suggest that continued heavy fishing may lead to irreversible ecological change.
- Rivers, lakes and wetlands, which account for less than 1% of the world’s surface, but at least 8% of its fisheries production, are under mounting pressure from the growing human population (FAO, 2000).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fishing-yield_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/93304CA4-FD75-10CE-991C-C600702F13F6</guid>
<g:label>global</g:label>
<g:label>fishing</g:label>
<g:label>yeild</g:label>
<g:label>vital</g:label>
<g:label>water</g:label>
<g:label>fishery</g:label>
<g:label>products</g:label>
<g:label>food</g:label>
<g:label>chain</g:label>
<g:label></g:label>
<dc:contributor>Phillippe Rekacewicz, February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Ifremer; FAO; Ecosystem and Human Well-Being, Synthesis, Millennium Ecosystem Assessment, Washington DD, 2005. Based on a map by Fancoise Carre, University of Paris IV. Map outline: Gall-Bertin projections.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Food consumption – trends and projections</title>
<link>http://maps.grida.no/go/graphic/food-consumption-trends-and-projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Increase in crop production has mainly been a function of increases in yield due to increased irrigation
and fertilizer use. However, this may change in the future towards more reliance on cropland expansion, at the
cost of biodiversity. (Source: FAO, 2006).</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/food-consumption-trends-and-projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>114</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Increase in crop production has mainly been a function of increases in yield due to increased irrigation
and fertilizer use. However, this may change in the future towards more reliance on cropland expansion, at the
cost of biodiversity. (Source: FAO, 2006).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/food-consumption-trends-and-projections.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1000B76E-F2E4-12C6-7359-BD50302691EA</guid>
<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO. 2006. The State of Food Insecurity in the World 2006. An FAO perspective. Rome, Food and Agriculture Organization of the United Nations/London, Earthscan</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Food lost</title>
<link>http://maps.grida.no/go/graphic/food-lost</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, Nordpil</mapsgrida:designer>
<description>Food losses in the field (between planting and harvesting) could
be as high as 20–40% of the potential harvest in developing
countries due to pests and pathogens (Kader, 2005). Postharvest
losses vary greatly among commodities and production areas
and seasons. In the United States, the losses of fresh fruits
and vegetables have been estimated to range from 2% to 23%,
depending on the commodity, with an overall average of about
12% losses between production and consumption sites</description>
<pubDate>Tue, 17 Feb 2009 10:22:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/food-lost_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>149</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, Nordpil</g:author>
<mapsgrida:descriptionnonhtml>Food losses in the field (between planting and harvesting) could
be as high as 20–40% of the potential harvest in developing
countries due to pests and pathogens (Kader, 2005). Postharvest
losses vary greatly among commodities and production areas
and seasons. In the United States, the losses of fresh fruits
and vegetables have been estimated to range from 2% to 23%,
depending on the commodity, with an overall average of about
12% losses between production and consumption sites</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/food-lost.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E6AD1DC0-150E-B17D-D971-6791616B389F</guid>
<g:label>global</g:label>
<g:label>food</g:label>
<g:label>agriculture</g:label>
<g:label>global change</g:label>
<g:label>food supply</g:label>
<g:label>nutrition</g:label>
<dc:contributor>Hugo Ahlenius, Nordpil</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Kantor et al. 1997. Estimating and Addressing America’s Food Losses (Food Review). http://www.ers.usda.gov/Publications/FoodReview/Jan1997/Jan97a.pdf (Accessed January 14, 2008)
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Food Production Index</title>
<link>http://maps.grida.no/go/graphic/food_production_index</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Digout, Delphine, based on a sketch by Philippe Rekacewicz; UNEP/GRID-Arendal</mapsgrida:designer>
<description>Per capita food production is declining in Africa, but it is increasing steadily in the world as a whole. This graphic shows the net food production per capita (PIN base 1989-1991) for Africa and for the world for the time period 1961 to 2001.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_food_production_index.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>267</mapsgrida:thumbnailHeight>
<g:author>Digout, Delphine, based on a sketch by Philippe Rekacewicz; UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Per capita food production is declining in Africa, but it is increasing steadily in the world as a whole. This graphic shows the net food production per capita (PIN base 1989-1991) for Africa and for the world for the time period 1961 to 2001.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_food_production_index.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/166A2414-040D-4AF2-B9BB-267591D04248</guid>
<g:label>global</g:label>
<g:label>climate change</g:label>
<dc:contributor>Digout, Delphine, based on a sketch by Philippe Rekacewicz; UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Food and Agriculture Organization (FAO), Statistical Databases (FAOStats), 1995.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forecast World 2015</title>
<link>http://maps.grida.no/go/graphic/forecast_world_2015</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>What will the world situation, specifically related to development and environment, be in 2015? This graphic, in the form similar to a weather forecast, tries to paint out a likely future scenario, with both good and bad spots.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forecast41.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>153</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>What will the world situation, specifically related to development and environment, be in 2015? This graphic, in the form similar to a weather forecast, tries to paint out a likely future scenario, with both good and bad spots.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forecast4.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BFBC6D33-E1B2-6A62-BC15-C301CBE356AD</guid>
<g:label>global</g:label>
<g:label>development</g:label>
<g:label>scenarios</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>n/a</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest and Biodiversity under Threat by Economic Development</title>
<link>http://maps.grida.no/go/graphic/forest-and-biodiversity-under-threat-by-economic-development</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Southeast Asia, containing
the world’s third largest
tropical forests, is experiencing
deforestation rates higher
than almost anywhere else on
Earth. The region’s forests and animals living in the forest are
endangered by defragmentation and conversion to
agriculture or other land uses,
such as oil palm plantations and
logging.</description>
<pubDate>Thu, 08 Oct 2009 17:04:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-and-biodiversity-under-threat-by-economic-development_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>266</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Southeast Asia, containing
the world’s third largest
tropical forests, is experiencing
deforestation rates higher
than almost anywhere else on
Earth. The region’s forests and animals living in the forest are
endangered by defragmentation and conversion to
agriculture or other land uses,
such as oil palm plantations and
logging.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-and-biodiversity-under-threat-by-economic-development_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/CDEDB900-81FD-1159-E14D-11CB623E49DF</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>SarVision (The Netherlands)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest boundaries in Northern Scandinavia</title>
<link>http://maps.grida.no/go/graphic/forest_boundaries_in_northern_scandinavia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Fennoscandia covers the northern region of scandinavia and the western part of the Barents region. The diferent types of forest covering and the political boundaries that are considered protected areas are shown on the map.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest_boundaries_in_northern_scandinavia_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>155</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Fennoscandia covers the northern region of scandinavia and the western part of the Barents region. The diferent types of forest covering and the political boundaries that are considered protected areas are shown on the map.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest_boundaries_in_northern_scandinavia.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/41DB92DC-A512-49AA-9B9D-41A624681BD9</guid>
<g:label>scand</g:label>
<g:label>Arctic</g:label>
<g:label>Forestery</g:label>
<g:label>Forest</g:label>
<g:label>Fennoscandia</g:label>
<g:label>Forestry. Norway</g:label>
<g:label>Finland</g:label>
<g:label>Sweden</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>scand</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Finnish ministry of environment, Swedish national board of forestery, Nordic council 1996 and Norwegian directorate of nature management 1996.</dc:source>
<geo:lat>68</geo:lat>
<geo:long>15.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>53 3</gml:lowerCorner>
<gml:upperCorner>83 28</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest Carbon Stock per Region</title>
<link>http://maps.grida.no/go/graphic/forest-carbon-stock-per-region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Carbon stocks in land based ecosystems
are distributed irregularly between
tropical and northern latitudes but are
mostly concentrated in forest ecosystems
and wetlands. Recent research
suggests tropical forests play an even
more important role in absorbing carbon
than previously thought, taking
up 1 Gt of carbon every year, or about
40 per cent of the total for land based
absorption (Britton et al. 2007).</description>
<pubDate>Thu, 08 Oct 2009 16:28:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-carbon-stock-per-region_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>116</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Carbon stocks in land based ecosystems
are distributed irregularly between
tropical and northern latitudes but are
mostly concentrated in forest ecosystems
and wetlands. Recent research
suggests tropical forests play an even
more important role in absorbing carbon
than previously thought, taking
up 1 Gt of carbon every year, or about
40 per cent of the total for land based
absorption (Britton et al. 2007).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-carbon-stock-per-region_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/17609F5D-147D-C197-9255-9E9AEABD0602</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO 2006a. Map produced by Emmanuelle Bournay.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest composition case study in North America </title>
<link>http://maps.grida.no/go/graphic/forest-composition-case-study-in-north-america</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Current and projected Ranges of Beech Trees in the US.
A warmer climate may have significant effect on the forests. Decidous forests will probably move northwards and to higher altitudes, replacing coniferous forests in many areas. Some tree species will probably be replaced altogether, jeopardizing biological diversity in several places.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-composition-case-study-in-north-america_thumbnail.jpeg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>131</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Current and projected Ranges of Beech Trees in the US.
A warmer climate may have significant effect on the forests. Decidous forests will probably move northwards and to higher altitudes, replacing coniferous forests in many areas. Some tree species will probably be replaced altogether, jeopardizing biological diversity in several places.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-composition-case-study-in-north-america.jpeg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/2DEF7AE3-C507-46ED-8A75-7348F01A2355</guid>
<g:label>geonameric</g:label>
<g:label>Climate</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geonameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>NA</dc:source>
<geo:lat>54</geo:lat>
<geo:long>-101.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>24 -178</gml:lowerCorner>
<gml:upperCorner>84 -25</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest conservation and sustainable management initiatives</title>
<link>http://maps.grida.no/go/graphic/forest-conservation-and-sustainable-management-initiatives</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</mapsgrida:designer>
<description>In November 2009, in an attempt to preserve the forests and slow deforestation, the Governments of Guyana and Norway signed a memorandum of understanding for cooperation on issues related to combating climate change, protecting biodiversity and improving sustainable development, with a particular focus on reducing emissions from deforestation and forest degradation in the framework of REDD-plus. Within the region, Panama, the Plurinational State of Bolivia and Paraguay are part of the UN-REDD programme that helps developing countries formulate and implement national REDD-plus strategies. In addition, a number of countries in the region are carrying out conservation and forest management initiatives. Among the mitigation measures announced by Brazil in the framework of the “Copenhagen Accord” is an initiative to reduce deforestation in Amazonia and the Cerrado, as well as efforts to restore grasslands. Mexico, within its national strategy to combat climate change, also considers sustainable forest management to be one of the means of reducing its greenhouse gas emissions.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-conservation-and-sustainable-management-initiatives_thumbnail_008.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>314</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In November 2009, in an attempt to preserve the forests and slow deforestation, the Governments of Guyana and Norway signed a memorandum of understanding for cooperation on issues related to combating climate change, protecting biodiversity and improving sustainable development, with a particular focus on reducing emissions from deforestation and forest degradation in the framework of REDD-plus. Within the region, Panama, the Plurinational State of Bolivia and Paraguay are part of the UN-REDD programme that helps developing countries formulate and implement national REDD-plus strategies. In addition, a number of countries in the region are carrying out conservation and forest management initiatives. Among the mitigation measures announced by Brazil in the framework of the “Copenhagen Accord” is an initiative to reduce deforestation in Amazonia and the Cerrado, as well as efforts to restore grasslands. Mexico, within its national strategy to combat climate change, also considers sustainable forest management to be one of the means of reducing its greenhouse gas emissions.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-conservation-and-sustainable-management-initiatives_011.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1052680F-17EE-7B42-D453-105A002E495D</guid>
<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Landa, R., B. Ávila y M. Hernández. 2010. Cambio
Climático y Desarrollo Sustentable para América
Latina y el Caribe. Conocer para Comunicar. British
Council, PNUD México, Cátedra UNESCO-IMTA,
FLACSO México. México D.F. 140 pp.
</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest Conservation and Wood Production</title>
<link>http://maps.grida.no/go/graphic/forest-conservation-and-wood-production</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>
</description>
<pubDate>Thu, 08 Oct 2009 16:56:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-conservation-and-wood-production_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>82</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-conservation-and-wood-production_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/89FB22A0-ABB3-14C8-4827-171E00A5CB2B</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>CBFP 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest Cover and Definition</title>
<link>http://maps.grida.no/go/graphic/forest-cover-and-definition</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Forest cover varies depending on how it is defined. The crown cover threshold and the land use criterion are, in most cases, the most critical factors defining forests.</description>
<pubDate>Thu, 08 Oct 2009 12:09:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-cover-and-definition_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>141</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Forest cover varies depending on how it is defined. The crown cover threshold and the land use criterion are, in most cases, the most critical factors defining forests.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-cover-and-definition_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10720E05-740C-17A5-5CD0-F0643A326F7A</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest Cover in Relation to Poverty Madagascar</title>
<link>http://maps.grida.no/go/graphic/forest-cover-in-relation-to-poverty-madagascar</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Even though forests are often very
important to households, there is surprisingly
little knowledge on the actual
level of household forest income and
the role of such income in maintaining
livelihoods. The evidence regarding the role of
forests in allowing households to move
out of poverty is scant and mixed; there
are examples indicating that income
from forests allows households to accumulate
assets and escape poverty. However,
by way of contrast, figures from
Madagascar show that areas there with
high forest cover have low densities of
people but high poverty rates.</description>
<pubDate>Thu, 08 Oct 2009 13:56:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-cover-in-relation-to-poverty-madagascar_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>171</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Even though forests are often very
important to households, there is surprisingly
little knowledge on the actual
level of household forest income and
the role of such income in maintaining
livelihoods. The evidence regarding the role of
forests in allowing households to move
out of poverty is scant and mixed; there
are examples indicating that income
from forests allows households to accumulate
assets and escape poverty. However,
by way of contrast, figures from
Madagascar show that areas there with
high forest cover have low densities of
people but high poverty rates.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-cover-in-relation-to-poverty-madagascar_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/899F692B-147B-12BF-4B61-118B17CC81E6</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The World Bank 2004</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest Cover in Relation to Poverty Madagascar</title>
<link>http://maps.grida.no/go/graphic/forest-cover-in-relation-to-poverty-madagascar1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 14:12:08 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-cover-in-relation-to-poverty-madagascar_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>242</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-cover-in-relation-to-poverty-madagascar_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C34C5FB7-6B1A-F336-FD17-F509DAFED302</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest damage due to air pollution</title>
<link>http://maps.grida.no/go/graphic/forest_damage_due_to_air_pollution</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Air pollution has had an enormous impact of the forest in the Barents region. SPecifically there is alot of damage in Russia near the borders of Norway and Finland. The diagram shows areas of 'forest death' and the subsequent areas of varying levels of forest damage.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest_damage_due_to_air_pollution_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>184</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>200</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Air pollution has had an enormous impact of the forest in the Barents region. SPecifically there is alot of damage in Russia near the borders of Norway and Finland. The diagram shows areas of &apos;forest death&apos; and the subsequent areas of varying levels of forest damage.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest_damage_due_to_air_pollution_002.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/80FC081A-38AE-4A8F-8F3D-23B61CF5A30A</guid>
<g:label>kolapeninsula</g:label>
<g:label>barents</g:label>
<g:label>russia</g:label>
<g:label>finland</g:label>
<g:label>norway</g:label>
<g:label>forestry</g:label>
<g:label>air pollution</g:label>
<g:label>forest</g:label>
<g:label>atmosphere</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>kolapeninsula</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Norut</dc:source>
<geo:lat>67.5</geo:lat>
<geo:long>38</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>65 33</gml:lowerCorner>
<gml:upperCorner>70 43</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest extent in Central and Eastern Europe</title>
<link>http://maps.grida.no/go/graphic/forest_extent_in_central_and_eastern_europe</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The information on the state of biodiversity from 22 Central and Eastern European and former Soviet countries was assembled on the occasion of the 5th Conference of Parties of the Convention on Biological Diversity in Nairobi May 15-26, 2000. It is a collaborative effort of the ENRIN national focal points of UNEP-GRID. This graphic shows forest extent in Europe and Central Asia. </description>
<pubDate>Sun, 12 Mar 2006 09:09:43 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest_extent_in_central_and_eastern_europe_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>208</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The information on the state of biodiversity from 22 Central and Eastern European and former Soviet countries was assembled on the occasion of the 5th Conference of Parties of the Convention on Biological Diversity in Nairobi May 15-26, 2000. It is a collaborative effort of the ENRIN national focal points of UNEP-GRID. This graphic shows forest extent in Europe and Central Asia. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest_extent_in_central_and_eastern_europe.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C6EEA564-F587-43DC-8447-0F3E554F6EEB</guid>
<g:label>ceenis</g:label>
<g:label>biodiversity</g:label>
<g:label>cee region</g:label>
<g:label>nis region</g:label>
<g:label>Eastern Europe</g:label>
<g:label>Central Asia</g:label>
<g:label>forest</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>ceenis</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>58</geo:lat>
<geo:long>96</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 12</gml:lowerCorner>
<gml:upperCorner>80 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest fires in Albania, Macedonia, Montenegro, Serbia and Bulgaria</title>
<link>http://maps.grida.no/go/graphic/forest-fires-in-albania-macedonia-montenegro-serbia-and-bulgaria</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The summer of 2007 brought another heat wave to the Balkans, with widespread forest fires. The extent of burnt forest may differ a great deal from one year to the next, but it is quite clear that over the past 20 years, the frequency of forest fires has gradually increased in southeast Europe.</description>
<pubDate>Sun, 10 Feb 2008 09:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-fires-in-albania-macedonia-montenegro-serbia-and-bulgaria_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>352</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The summer of 2007 brought another heat wave to the Balkans, with widespread forest fires. The extent of burnt forest may differ a great deal from one year to the next, but it is quite clear that over the past 20 years, the frequency of forest fires has gradually increased in southeast Europe.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-fires-in-albania-macedonia-montenegro-serbia-and-bulgaria_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/142ED093-8A5E-146B-2CC4-9002109B241F</guid>
<g:label>balkan</g:label>
<g:label>forestry</g:label>
<g:label>forest fires</g:label>
<g:label>climate change</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>balkan</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Faculty of Forestry, University of Macedonia</dc:source>
<geo:lat>41</geo:lat>
<geo:long>19.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>35 13</gml:lowerCorner>
<gml:upperCorner>47 26</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest loss from 1985-2007 for Sumatra</title>
<link>http://maps.grida.no/go/graphic/forest-loss-from-1985-2007-for-sumatra</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>If only the most important orangutan habitat is examined – i.e. forest below 1,000 m – for the 1985-2007 period, the rate of loss was even higher, at 28% and 49% for Aceh and North Sumatra respectively. When only the most species-rich forests (below 500 m) are considered, forest loss between 1985 and 2007 was 36% for Aceh and 61% for North Sumatra. For the carbon-rich peat swamp forests the loss was 33% for Aceh and 78% for North Sumatra.</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-loss-from-1985-2007-for-sumatra_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>237</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>If only the most important orangutan habitat is examined – i.e. forest below 1,000 m – for the 1985-2007 period, the rate of loss was even higher, at 28% and 49% for Aceh and North Sumatra respectively. When only the most species-rich forests (below 500 m) are considered, forest loss between 1985 and 2007 was 36% for Aceh and 61% for North Sumatra. For the carbon-rich peat swamp forests the loss was 33% for Aceh and 78% for North Sumatra.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-loss-from-1985-2007-for-sumatra_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B5CA5C91-6E63-139B-E853-12EE6B4150FD</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Laumonier, Y., Uryu, Y., Stüwe, M., Budiman, A., Setiabudi, B. and Hadian, O. 2010. Eco-floristic sectors and deforestation threats in Sumatra: Identifying new conservation area network priorities for ecosystem-based land use planning. Biodiv Cons 19: 1153-1174.
WWF 2010. Sumatra’s forests, their wildlife and the climate.
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest per Total Land Area</title>
<link>http://maps.grida.no/go/graphic/forest-per-total-land-area</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>According to the Food and Agriculture Organization of the United Nations (FAO) there are at present just
under 4 billion hectares of forest in the world, covering in all about 30 per cent of the world’s land area (FAO 2006a).</description>
<pubDate>Thu, 08 Oct 2009 12:18:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-per-total-land-area_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>160</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>According to the Food and Agriculture Organization of the United Nations (FAO) there are at present just
under 4 billion hectares of forest in the world, covering in all about 30 per cent of the world’s land area (FAO 2006a).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-per-total-land-area_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/AF924AA6-B35E-CF71-3A60-8D411D8FC7FA</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO 2006a</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest status</title>
<link>http://maps.grida.no/go/graphic/forest-status</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Most Sumatran orangutan habitat is protected by Indonesian law. The government has created a very comprehensive system of functional forest categories, and institutions responsible for managing its forests. Some areas remain highly threatened, however, including the Batang Toru Forest (production forest), and the Tripa Swamp Forest (not part of the formal forest estate).</description>
<pubDate>Wed, 28 Sep 2011 08:46:32 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-status_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>251</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Most Sumatran orangutan habitat is protected by Indonesian law. The government has created a very comprehensive system of functional forest categories, and institutions responsible for managing its forests. Some areas remain highly threatened, however, including the Batang Toru Forest (production forest), and the Tripa Swamp Forest (not part of the formal forest estate).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-status_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5F097C50-11AB-9694-6D47-115C8DAFF04C</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Bathymetry from the ETOPO1 Global Relief Model downloaded from: http://www.ngdc.noaa.gov/mgg/global/global.html
Sumatran orangutan distribution shapefile prepared by Singleton and Wich and based on Wich et al. 2008 with unpublished data added.
Forest layer interpreted by PanEco/ YEL, 2010 from Landsat 5 TM, 2009 and Landsat ETM 7 filled, 2010.
Forest status for Aceh shown on map “Peta Penunjukan
Kawasan Hutan dan Perairan Propinsi NAD, 1:2,000,000. SK170/Kpts-II/2000” . Forest status for N.Sumatra shown on map accompanying “Peta Penunjukan Kawasan Hutan Propinsi Sumatera Utara, 1:5,000,000. SK 44/Kpts-II/2004”. Both maps available for download from Ministry of Forestry website (http://www.dephut.go.id).
</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest systems</title>
<link>http://maps.grida.no/go/graphic/forest-systems</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Forest systems are lands dominated by trees; they are often used for timber, fuelwood, and non-wood forest products. The map shows areas with a canopy cover of at least 40% by woody plants taller than 5 meters.</description>
<pubDate>Sun, 03 Feb 2008 18:42:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-systems_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>121</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Forest systems are lands dominated by trees; they are often used for timber, fuelwood, and non-wood forest products. The map shows areas with a canopy cover of at least 40% by woody plants taller than 5 meters.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-systems_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/16766767-99E5-10E1-F265-BC33287DAE21</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forest density</g:label>
<g:label>ecosystem</g:label>
<g:label>economy</g:label>
<g:label>production</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest vs. Agriculture – the case of the Mabira forest reserve, Uganda</title>
<link>http://maps.grida.no/go/graphic/forest-vs-agriculture-the-case-of-the-mabira-forest-reserve-uganda</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Mabira forest reserve, on the shores of Lake Victoria hosts valuable wildlife, serves as a timber resource, provides ecosystem services for the water balance and the rainforests represents a tourist destination. Following a proposed plan for clearing a third of the reserve for agricultural use, the values of the forest were calculated by local researchers. This economic evaluation of the forest shows that from a short-term perspective, growing sugarcane would lead to more economic benefits than maintaining the forest reserve, with a return of 3.6 million USD/year in contrast to 1.1 million USD/year for conservation. However, sugar cane production is only optimal during a short time span - five years. When comparing both land use alternatives over the lifetime of the timber stock – 60 years, the benefits from the forest, and the ecosystem services it provides, exceed those of the sugarcane planting.</description>
<pubDate>Fri, 06 Jun 2008 09:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-vs-agriculture-the-case-of-the-mabira-forest-reserve-uganda_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>77</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Mabira forest reserve, on the shores of Lake Victoria hosts valuable wildlife, serves as a timber resource, provides ecosystem services for the water balance and the rainforests represents a tourist destination. Following a proposed plan for clearing a third of the reserve for agricultural use, the values of the forest were calculated by local researchers. This economic evaluation of the forest shows that from a short-term perspective, growing sugarcane would lead to more economic benefits than maintaining the forest reserve, with a return of 3.6 million USD/year in contrast to 1.1 million USD/year for conservation. However, sugar cane production is only optimal during a short time span - five years. When comparing both land use alternatives over the lifetime of the timber stock – 60 years, the benefits from the forest, and the ecosystem services it provides, exceed those of the sugarcane planting.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-vs-agriculture-the-case-of-the-mabira-forest-reserve-uganda.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/65941197-8E5B-71AA-B496-5B41AF9504DD</guid>
<g:label>UG</g:label>
<g:label>conservation</g:label>
<g:label>ecosystem services</g:label>
<g:label>forestry</g:label>
<g:label>agriculture</g:label>
<g:label>forests</g:label>
<g:label>timber</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>UG</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Moyini, Yakobo et al. 2008. Economic valuation of the proposed degazettment of part of mabira central forest reserve. NatureUganda</dc:source>
<geo:lat>1.5</geo:lat>
<geo:long>32</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-1 29</gml:lowerCorner>
<gml:upperCorner>4 35</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forest, crops and the people</title>
<link>http://maps.grida.no/go/graphic/forest-crops-and-the-people</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>There are competing demands for land use. Any policy that aims to promote ecosystem
carbon management must resolve conflicts between different land uses and take care not
to disadvantage the poor.</description>
<pubDate>Fri, 05 Jun 2009 00:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forest-crops-and-the-people_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>221</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>There are competing demands for land use. Any policy that aims to promote ecosystem
carbon management must resolve conflicts between different land uses and take care not
to disadvantage the poor.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forest-crops-and-the-people_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5E31E6B1-85EC-90D6-2B3E-10884FE06B48</guid>
<g:label>global</g:label>
<g:label>emissions</g:label>
<g:label>greenhouse</g:label>
<g:label>gases</g:label>
<g:label>global</g:label>
<g:label>climate</g:label>
<g:label>change</g:label>
<g:label>ecosystems</g:label>
<g:label>carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Based on a map from Nieves Lopez and Riccardo
Pravettoni. IBGE, 2008; Commissao Pastoral da Terra, 2008.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forests Affected as Hideouts and Refuges</title>
<link>http://maps.grida.no/go/graphic/forests-affected-as-hideouts-and-refuges</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Around the world, conflicts and
wars are, directly and indirectly,
taking a toll on forests and the communities
that rely on them
for their livelihood. Dense forests in
remote areas provide
safe haven for refugees fleeing from
conflict, which can result in overexploitation
of forest resources.</description>
<pubDate>Sat, 20 Jun 2009 14:34:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forests-affected-as-hideouts-and-refuges_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>308</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Around the world, conflicts and
wars are, directly and indirectly,
taking a toll on forests and the communities
that rely on them
for their livelihood. Dense forests in
remote areas provide
safe haven for refugees fleeing from
conflict, which can result in overexploitation
of forest resources.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forests-affected-as-hideouts-and-refuges_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13B72515-A7E6-14F9-775B-78066C12C1E0</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Institute for Environmental Security (IES) field survey; United Nations High Commissioner for Regugees (UNHCR); International Campaign to Ban Landmines (ICBL). Map compiled in collaboration with Diana Duarte Rizzolio, UNEP-GRID/Europe.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forests and Conflicts</title>
<link>http://maps.grida.no/go/graphic/forests-and-conflicts</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Around the world, conflicts
and wars are taking a toll
on forests and on the
communities that rely on
them for their livelihood.
Dense forests can serve as
hideouts for insurgent groups
or can be as a vital source of
revenue for warring parties to
sustain conflict.</description>
<pubDate>Sat, 20 Jun 2009 14:34:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forests-and-conflicts_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>150</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Around the world, conflicts
and wars are taking a toll
on forests and on the
communities that rely on
them for their livelihood.
Dense forests can serve as
hideouts for insurgent groups
or can be as a vital source of
revenue for warring parties to
sustain conflict.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forests-and-conflicts_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1589D794-12E1-11D4-62F8-84A20FAAFCA9</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forests and ecozones in the Barents Region</title>
<link>http://maps.grida.no/go/graphic/forests_and_ecozones_in_the_barents_region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. This shows all the main ecozones of the region and their geographical coverage.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forests_and_ecozones_in_the_barents_region_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>160</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Barents region is in the Arctic and covers the area of Western Russia and the northern areas of Finland, Sweden and Norway. This shows all the main ecozones of the region and their geographical coverage.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forests_and_ecozones_in_the_barents_region_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/209D58D8-631B-4DA4-AF5B-BE91DDE28235</guid>
<g:label>barentsregion</g:label>
<g:label>barents</g:label>
<g:label>russia</g:label>
<g:label>finland</g:label>
<g:label>norway</g:label>
<g:label>sweden</g:label>
<g:label>ecology</g:label>
<g:label>ecozones</g:label>
<g:label>environment</g:label>
<g:label>forest</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>barentsregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WCMC 1997</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>39</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>60 5</gml:lowerCorner>
<gml:upperCorner>85 73</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forests in Narcotics and Arms Trafficking Areas</title>
<link>http://maps.grida.no/go/graphic/forests-in-narcotics-and-arms-trafficking-areas</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Dense forests can serve as
hideouts for insurgent groups
or can be as a vital source of
revenue for warring parties to
sustain conflict. Known cases of forests as sites of
rebel camps include Colombia where
left-wing guerrillas have camps deep
in the Amazonian forest and in mountainous
forest areas.</description>
<pubDate>Thu, 08 Oct 2009 14:16:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forests-in-narcotics-and-arms-trafficking-areas_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>310</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Dense forests can serve as
hideouts for insurgent groups
or can be as a vital source of
revenue for warring parties to
sustain conflict. Known cases of forests as sites of
rebel camps include Colombia where
left-wing guerrillas have camps deep
in the Amazonian forest and in mountainous
forest areas.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forests-in-narcotics-and-arms-trafficking-areas_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/136C87BD-6268-BBEB-923A-5D6DEBB8FC77</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNODC 2005</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forests in the Caucasus ecoregion</title>
<link>http://maps.grida.no/go/graphic/forests-in-the-caucasus-ecoregion</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>WWF-Caucasus, design Manana Kurtubadze</mapsgrida:designer>
<description>About 17% of the total land area of the Caucasus is covered by forests, primarily found between altitudes of 500-2000m and growing on steep slopes. Most forests are broadleaf forests but a number of different types are found, including birch forests, oak forests, fir forests, alder forests and wing nuts forests. In Georgia the total area covered by forests is 40% while forest areas in the Northern Caucasus amount to 11.4%, in Azerbaijan to 14-15% and in Armenia to 10% only. In the Southern Caucasus most forests are found in the Greater and Lesser Caucasus, while in the Northern Caucasus most forestland is found in North Ossetia. In the Turkish and Iranian part of the Caucasus dense forest cover occurs along the Black and Caspian Seas only.</description>
<pubDate>Mon, 04 Feb 2008 13:15:15 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forests-in-the-caucasus-ecoregion_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>188</mapsgrida:thumbnailHeight>
<g:author>WWF-Caucasus, design Manana Kurtubadze</g:author>
<mapsgrida:descriptionnonhtml>About 17% of the total land area of the Caucasus is covered by forests, primarily found between altitudes of 500-2000m and growing on steep slopes. Most forests are broadleaf forests but a number of different types are found, including birch forests, oak forests, fir forests, alder forests and wing nuts forests. In Georgia the total area covered by forests is 40% while forest areas in the Northern Caucasus amount to 11.4%, in Azerbaijan to 14-15% and in Armenia to 10% only. In the Southern Caucasus most forests are found in the Greater and Lesser Caucasus, while in the Northern Caucasus most forestland is found in North Ossetia. In the Turkish and Iranian part of the Caucasus dense forest cover occurs along the Black and Caspian Seas only.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forests-in-the-caucasus-ecoregion.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/98901DF6-FB9A-110C-8DC8-DEFA045033D2</guid>
<g:label>caucaususecoregion</g:label>
<g:label>forests</g:label>
<g:label>conservation</g:label>
<g:label>ecology</g:label>
<g:label>wildlife</g:label>
<dc:contributor>WWF-Caucasus, design Manana Kurtubadze</dc:contributor>
<dc:coverage>caucaususecoregion</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WWF-Caucasus</dc:source>
<geo:lat>36.5</geo:lat>
<geo:long>44.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>28 38</gml:lowerCorner>
<gml:upperCorner>45 51</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forests Regulate Groundwater Level</title>
<link>http://maps.grida.no/go/graphic/forests-regulate-groundwater-level</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Forests can regulate groundwater levels
and increase drainage of soils where
the water table is close to the surface.
If there are salts in the upper soil layers,
then removal of forests can result
in raised groundwater levels and the
movement of salts into the rooting zone
of plants (FAO 2008c).</description>
<pubDate>Thu, 08 Oct 2009 16:09:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forests-regulate-groundwater-level_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>88</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Forests can regulate groundwater levels
and increase drainage of soils where
the water table is close to the surface.
If there are salts in the upper soil layers,
then removal of forests can result
in raised groundwater levels and the
movement of salts into the rooting zone
of plants (FAO 2008c).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forests-regulate-groundwater-level_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8B667333-A370-ACDB-F1B9-99801A7D345E</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Forests working for the global climate - Reducing Emissions from Deforestation in Developing Countries (REDD)</title>
<link>http://maps.grida.no/go/graphic/forests-working-for-the-global-climate-reducing-emissions-from-deforestation-in-developing-countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Carbon trading of credits from avoided deforestation could yield billions of dollars for tropical countries, according to an analysis by Rhett A.Butler, founder and editor from mongabay.com, a leading tropical forest web site. The proposed mechanism - Reducing Emissions from Deforestation in Developing Countries (REDD) - will enable these countries to maintain their forests as a global resource.
Using conservative estimates on carbon storage in tropical forests for the 17 developing countries in the figure, a reduction in the annual deforestation by 10 per cent would generate more than USD 600 million per year with carbon prices at 5 USD per tonne. A higher estimate on the carbon prices, at USD 30 per tonne, would generate USD 2500 million in income from the proposed programme. Due to differences in the forest composition and climate, the carbon content can differ greatly - rainforests in French Guiana has an estimate of 5 times as much carbon content compared to the forests of Indonesia.</description>
<pubDate>Fri, 06 Jun 2008 06:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/forests-working-for-the-global-climate-reducing-emissions-from-deforestation-in-developing-countries_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>179</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Carbon trading of credits from avoided deforestation could yield billions of dollars for tropical countries, according to an analysis by Rhett A.Butler, founder and editor from mongabay.com, a leading tropical forest web site. The proposed mechanism - Reducing Emissions from Deforestation in Developing Countries (REDD) - will enable these countries to maintain their forests as a global resource.
Using conservative estimates on carbon storage in tropical forests for the 17 developing countries in the figure, a reduction in the annual deforestation by 10 per cent would generate more than USD 600 million per year with carbon prices at 5 USD per tonne. A higher estimate on the carbon prices, at USD 30 per tonne, would generate USD 2500 million in income from the proposed programme. Due to differences in the forest composition and climate, the carbon content can differ greatly - rainforests in French Guiana has an estimate of 5 times as much carbon content compared to the forests of Indonesia.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/forests-working-for-the-global-climate-reducing-emissions-from-deforestation-in-developing-countries_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E6575214-EC00-1338-9079-F768D001C32B</guid>
<g:label>global</g:label>
<g:label>forests</g:label>
<g:label>carbon</g:label>
<g:label>climate</g:label>
<g:label>economy</g:label>
<g:label>conservation</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Butler, Rhett A. 2008. Carbon trading could protect forests, reduce rural poverty. http://news.mongabay.com/2008/0226-redd.html#redd (accessed May 7, 2008)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Formation of lakes and glacier lake outburst floods (GLOFs) by Medvezhi Glacier, Pamirs</title>
<link>http://maps.grida.no/go/graphic/formation-of-lakes-and-glacier-lake-outburst-floods-glofs-by-medvezhi-glacier-pamirs</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The increasing number of glacial and moraine lakes in Central Asian mountains is a matter of great concern. One of the surging glaciers that poses a potential threat is the 15 km long Medvezhi (Bear) Glacier in the Pamirs mountains of Tajikistan. Its surges have repeatedly caused lake formation, outburst and subsequent floodings. In 1963 and 1973, the surge of the glacier was so significant (1 to 2 km increase in length) that the ice dam exceeded 100 m in height and dammed a lake of over 20 million m3 of water and debris. The outburst of that lake generated a series of large flood waves. Due to early warning and monitoring, there were no victims, although infrastructural damage was significant.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/formation-of-lakes-and-glacier-lake-outburst-floods-glofs-by-medvezhi-glacier-pamirs_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>161</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The increasing number of glacial and moraine lakes in Central Asian mountains is a matter of great concern. One of the surging glaciers that poses a potential threat is the 15 km long Medvezhi (Bear) Glacier in the Pamirs mountains of Tajikistan. Its surges have repeatedly caused lake formation, outburst and subsequent floodings. In 1963 and 1973, the surge of the glacier was so significant (1 to 2 km increase in length) that the ice dam exceeded 100 m in height and dammed a lake of over 20 million m3 of water and debris. The outburst of that lake generated a series of large flood waves. Due to early warning and monitoring, there were no victims, although infrastructural damage was significant.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/formation-of-lakes-and-glacier-lake-outburst-floods-glofs-by-medvezhi-glacier-pamirs.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/16343AF3-1532-7D5E-FDD0-15E88414CD65</guid>
<g:label>TJ</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>snow</g:label>
<g:label>glof</g:label>
<g:label>glacier</g:label>
<g:label>hazard</g:label>
<g:label>flooding</g:label>
<g:label>freshwater</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>TJ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Tajik Agency on Hydrometerology</dc:source>
<geo:lat>38.5</geo:lat>
<geo:long>71</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>36 67</gml:lowerCorner>
<gml:upperCorner>41 75</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fossil fuel resources and oil and gas production in the Arctic</title>
<link>http://maps.grida.no/go/graphic/fossil-fuel-resources-and-oil-and-gas-production-in-the-arctic</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz &amp; Hugo Ahlenius UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Arctic has been opened up for increased exploration of petroleum, gas and mining activities. The Barents Sea, the Mackenzie Valley in Canada and the Alaskan North Slope, are the areas of chief interest at the moment. With increased temperatures and climate change, it is expected that the commercial intrest for more extraction and exploration will increase, as well as shipping of the products. As sea ice decreases, the shipping lanes will become more commercially viable.</description>
<pubDate>Wed, 12 Sep 2007 12:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fossil-fuel-resources-and-oil-and-gas-production-in-the-arctic_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>239</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz &amp; Hugo Ahlenius UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Arctic has been opened up for increased exploration of petroleum, gas and mining activities. The Barents Sea, the Mackenzie Valley in Canada and the Alaskan North Slope, are the areas of chief interest at the moment. With increased temperatures and climate change, it is expected that the commercial intrest for more extraction and exploration will increase, as well as shipping of the products. As sea ice decreases, the shipping lanes will become more commercially viable.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fossil-fuel-resources-and-oil-and-gas-production-in-the-arctic.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A9CA77B2-13AC-1158-45E7-A11EB50B66BA</guid>
<g:label>geoarctic</g:label>
<g:label>fuels</g:label>
<g:label>fossil fuels</g:label>
<g:label>oil</g:label>
<g:label>gas</g:label>
<g:label>hydrocarbons</g:label>
<g:label>extraction</g:label>
<g:label>natural resources</g:label>
<dc:contributor>Philippe Rekacewicz &amp; Hugo Ahlenius UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>United States Geologocal Survey (USGS); AMAP 1997, 1998 and 2002; CAFF, 2001; UNEP/World Conservation Monitoring Centre (WCMC); United States ENergy Information Administration (IEA); Barents Euro-Arctic Council (BEAC); Comité professionnel du pétrole (CPDP), Paris; Institut français du pétrole (IFP), Paris; National Oceanic and Atmospheric Administration (NOAA); The World Bank; Alaska Department of Environmental conservation, Division of Spill Prevention and Response; United States Coast Guard (USCG).</dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fourchettes individuelles possibles pour les pertes de rendement et de superficie cultivable à l'horizon 2050 </title>
<link>http://maps.grida.no/go/graphic/fourchettes-individuelles-possibles-pour-les-pertes-de-rendement-et-de-superficie-cultivable-l-horiz</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>GRID-Arendal</mapsgrida:designer>
<description>variations du climat (scénario A2), cultures non alimentaires, y compris les combustibles (six scénarios OCDE), effets de la dégradation des sols (sur le rendement et la superficie, respectivement; voir le texte correspondant), raréfaction des ressources en eau (y compris la fonte progressive des glaciers de l'Himalaya (voir l'encadré et le texte) et parasites (espèces envahissantes de mauvaises herbes, de pathogènes et d'invertébrés comme les insectes; voir le texte). Bien que ces conséquences puissent être d'une ampleur considérable, les effets cumulés et indirects ou les interactions ne sont pas pris en compte, pas plus que les pertes cumulées de services écosystémiques, qui nuisent au fonctionnement global des systèmes de production alimentaire. Il est à noter que la barre des incidences climatiques ne concerne que la variation des conditions générales de croissance, notamment la température, l'évapotranspiration et la chute de pluie, et ne tient pas compte des incidences indirectes de la variation du climat telles que la fonte des glaciers (raréfaction des ressources en eau) et l'accroissement du nombre d'espèces envahissantes. Les autres barres intègrent en partie certains de ces impacts importants du changement climatique. Les données fournies ne prennent pas en compte les effets apparemment profonds des phénomènes météorologiques extrêmes</description>
<pubDate>Mon, 08 Jun 2009 18:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fourchettes-individuelles-possibles-pour-les-pertes-de-rendement-et-de-superficie-cultivable-l-horiz_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>161</mapsgrida:thumbnailHeight>
<g:author>GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>variations du climat (scénario A2), cultures non alimentaires, y compris les combustibles (six scénarios OCDE), effets de la dégradation des sols (sur le rendement et la superficie, respectivement; voir le texte correspondant), raréfaction des ressources en eau (y compris la fonte progressive des glaciers de l&apos;Himalaya (voir l&apos;encadré et le texte) et parasites (espèces envahissantes de mauvaises herbes, de pathogènes et d&apos;invertébrés comme les insectes; voir le texte). Bien que ces conséquences puissent être d&apos;une ampleur considérable, les effets cumulés et indirects ou les interactions ne sont pas pris en compte, pas plus que les pertes cumulées de services écosystémiques, qui nuisent au fonctionnement global des systèmes de production alimentaire. Il est à noter que la barre des incidences climatiques ne concerne que la variation des conditions générales de croissance, notamment la température, l&apos;évapotranspiration et la chute de pluie, et ne tient pas compte des incidences indirectes de la variation du climat telles que la fonte des glaciers (raréfaction des ressources en eau) et l&apos;accroissement du nombre d&apos;espèces envahissantes. Les autres barres intègrent en partie certains de ces impacts importants du changement climatique. Les données fournies ne prennent pas en compte les effets apparemment profonds des phénomènes météorologiques extrêmes</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fourchettes-individuelles-possibles-pour-les-pertes-de-rendement-et-de-superficie-cultivable-l-horiz_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BF88BFD4-6358-14A0-41C3-13AC419952FE</guid>
<g:label>global</g:label>
<dc:contributor>GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Compiled by UNEP for this report.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>France emissions of greenhouse gases (CO2, CH4, N2O) 1990 and 2010 projections</title>
<link>http://maps.grida.no/go/graphic/france_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/france_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>196</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/france_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/DF01CBF4-AB6A-4A9F-8698-90FEBBC4EBBD</guid>
<g:label>FR</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>methane</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>FR</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>46</geo:lat>
<geo:long>2.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>41 -4</gml:lowerCorner>
<gml:upperCorner>51 9</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>France, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/france_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from
France. Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop6_total_greenhouse_gas_emissions_france_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.
This graphic shows total greenhouse gas emissions from
France. Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop6_total_greenhouse_gas_emissions_france.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/762F171B-E48F-4F3D-A915-89ADE8A47CF1</guid>
<g:label>FR</g:label>
<g:label>cop7</g:label>
<g:label>France</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<g:label></g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>FR</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Actual emissions UNFCCC/SB1/2000/11 table B.1
Projected emissions UNFCCC/1998/Add.2 table C.6
</dc:source>
<geo:lat>46</geo:lat>
<geo:long>2.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>41 -4</gml:lowerCorner>
<gml:upperCorner>51 9</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Freshwater alkalinity: 1976-2008</title>
<link>http://maps.grida.no/go/graphic/freshwater-alkalinity-1976-2008</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz (Le Monde diplomatique), February 2006</mapsgrida:designer>
<description>Alkalinity is commonly used to indicate a water body’s capacity to buffer against acidity; that is, the ability to resist, or dampen, changes in pH. Thus, alkaline compounds in water, such as bicarbonates, carbonates, and hydroxides, lower the acidity of the water and increase the pH.
Alkalinity (as CaCO3) was analysed for all sampling stations available at the continental level. Concentrations remained reasonably steady between the two decades for Africa, Asia, South America and Australasia, but significant increases were noted for European and North American rivers, which may indicate a shift towards reduced acidic impacts at the continental scale. Overall, during the last 30 years , alkalinity has decreased in North America and Europe, but has significantly increased in Asia.
Examination of the outflow stations in 82 monitored river basins indicate a decrease in bicarbonate concentrations between the two decades , in the northern latitudes, including North America, Europe and Asia. For the period 1976-1990, European rivers displayed the highest concentrations of calcium at a continental level, with concentrations varying between 2 mg and 50 mg per litre for major rivers. Comparing the two decades, observations of surface water showed an increase in calcium concentrations in the Laurentian shield region of North America, and in the rivers of the north central European region.</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/freshwater-alkalinity-1976-2008_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>138</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz (Le Monde diplomatique), February 2006</g:author>
<mapsgrida:descriptionnonhtml>Alkalinity is commonly used to indicate a water body’s capacity to buffer against acidity; that is, the ability to resist, or dampen, changes in pH. Thus, alkaline compounds in water, such as bicarbonates, carbonates, and hydroxides, lower the acidity of the water and increase the pH.
Alkalinity (as CaCO3) was analysed for all sampling stations available at the continental level. Concentrations remained reasonably steady between the two decades for Africa, Asia, South America and Australasia, but significant increases were noted for European and North American rivers, which may indicate a shift towards reduced acidic impacts at the continental scale. Overall, during the last 30 years , alkalinity has decreased in North America and Europe, but has significantly increased in Asia.
Examination of the outflow stations in 82 monitored river basins indicate a decrease in bicarbonate concentrations between the two decades , in the northern latitudes, including North America, Europe and Asia. For the period 1976-1990, European rivers displayed the highest concentrations of calcium at a continental level, with concentrations varying between 2 mg and 50 mg per litre for major rivers. Comparing the two decades, observations of surface water showed an increase in calcium concentrations in the Laurentian shield region of North America, and in the rivers of the north central European region.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/freshwater-alkalinity-1976-_013.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B547A54A-F96C-11C0-3666-16E2574BC0AF</guid>
<g:label>global</g:label>
<g:label>freskwater</g:label>
<g:label>alkalinity</g:label>
<g:label>vital</g:label>
<g:label>water</g:label>
<g:label>acidity</g:label>
<g:label>bicarbonates</g:label>
<g:label>Alkalinity is commonly used to indicate a water body’s capacity to buffer against acidity; that is</g:label>
<g:label>the ability to resist</g:label>
<g:label>or dampen</g:label>
<dc:contributor>Philippe Rekacewicz (Le Monde diplomatique), February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Global Environment Monitoring System (GEMS), Freshwater Quality Programme, United Nations Environment Programme (UNEP), 2001.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Freshwater and wastewater cycle - Water withdrawal and pollutant discharge</title>
<link>http://maps.grida.no/go/graphic/freshwater-and-wastewater-cycle-water-withdrawal-and-pollutant-discharge</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>As water is extracted and used along the supply chain, both the quality and quantity of water is reduced.</description>
<pubDate>Mon, 22 Mar 2010 08:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/freshwater-and-wastewater-cycle-water-withdrawal-and-pollutant-discharge_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>129</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>As water is extracted and used along the supply chain, both the quality and quantity of water is reduced.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/freshwater-and-wastewater-cycle-water-withdrawal-and-pollutant-discharge_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/AAA20D00-1635-112B-DEE2-FA6E9EE46E6D</guid>
<g:label>global</g:label>
<g:label>sick</g:label>
<g:label>water</g:label>
<g:label>wastewater</g:label>
<g:label>sustainable</g:label>
<g:label>development</g:label>
<g:label>global</g:label>
<g:label>threat</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>WHO; FAO; UNESCO; IWMI.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Freshwater availability: groundwater and river flow</title>
<link>http://maps.grida.no/go/graphic/freshwater-availability-groundwater-and-river-flow</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic shows the availability of freshwater through average river flows and groundwater recharge, in cubic metres per capita per year, at the national level in the year 2000. The graphic highlights the countries with the least freshwater resources (Egypt and the United Arab Emirates) and those with the most (Suriname and Iceland).</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/freshwater_availability_groundwater_and_river_flow_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>168</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic shows the availability of freshwater through average river flows and groundwater recharge, in cubic metres per capita per year, at the national level in the year 2000. The graphic highlights the countries with the least freshwater resources (Egypt and the United Arab Emirates) and those with the most (Suriname and Iceland).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/freshwater_availability_groundwater_and_river_flow.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A39A232D-E547-446C-B63A-E604F91A308C</guid>
<g:label>global</g:label>
<g:label>freshwater</g:label>
<g:label>rivers</g:label>
<g:label>groundwater</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Resources 2000-2001, 'People and Ecosystems: the Fraying Web of Life', World Resources Institute (WRI), Washington, D.C., 2000.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Freshwater biodiversity and poverty in eastern Africa</title>
<link>http://maps.grida.no/go/graphic/freshwater-biodiversity-and-poverty-in-eastern-africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Red areas where high percentage of children with stunted growth - used as a proxy for poverty - coincide with a high freshwater biodiversity index - a proxy for biodiversity - likely indicate areas in which poor people have no other choice than to unsustainably extract resources, in turn threatening biodiversity.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/freshwater-biodiversity-and-poverty-in-eastern-africa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>132</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Red areas where high percentage of children with stunted growth - used as a proxy for poverty - coincide with a high freshwater biodiversity index - a proxy for biodiversity - likely indicate areas in which poor people have no other choice than to unsustainably extract resources, in turn threatening biodiversity.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/freshwater-biodiversity-and-poverty-in-eastern-africa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/3E460962-40D0-444A-B9F3-FB80BFC850A4</guid>
<g:label>geoeafrica</g:label>
<g:label>poverty</g:label>
<g:label>poverty indicators</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoeafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IUCN Freshwater Biodiversity Assessment Programme, FAO</dc:source>
<geo:lat>-3.5</geo:lat>
<geo:long>36</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-29 21</gml:lowerCorner>
<gml:upperCorner>22 51</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Freshwater resources</title>
<link>http://maps.grida.no/go/graphic/freshwater_resources</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Access to water is perhaps one of the greatest challenges for sustainable development in Africa. This resource includes three graphics. The first shows the average annual freshwater withdrawal, in cubic metres per capita per year, at the national level for Africa. The second graphic shows the annual volume of water resources, in cubic kilometres, that each continent has, based on the average of figures from 1921 to 1985. The final graphic shows the amount by which amounts of water resources have deviated from the average values for the time period 1920 to 1999.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_freshwater_resources.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>174</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Access to water is perhaps one of the greatest challenges for sustainable development in Africa. This resource includes three graphics. The first shows the average annual freshwater withdrawal, in cubic metres per capita per year, at the national level for Africa. The second graphic shows the annual volume of water resources, in cubic kilometres, that each continent has, based on the average of figures from 1921 to 1985. The final graphic shows the amount by which amounts of water resources have deviated from the average values for the time period 1920 to 1999.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_freshwater_resources.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/4C1894CF-18FF-4904-A1C0-6387147E1347</guid>
<g:label>global</g:label>
<g:label>freshwater withdrawal</g:label>
<g:label>water resources</g:label>
<g:label>river runoff</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Igor A. Shiklomanov, State Hydrological Institute (SHI, Saint Petersburg) and UNESCO, Paris, 1999, World Resources 2000-2001, Table FW1, World Resources Institute, Washington, DC.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Freshwater resources: volume by continent</title>
<link>http://maps.grida.no/go/graphic/freshwater-resources-volume-by-continent</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz (Le Monde diplomatique)</mapsgrida:designer>
<description>Glaciers and ice caps cover about 10% of the world’s landmass. These are concentrated in Greenland and Antarctica and contain 70% of the world’s freshwater. Unfortunately, most of these resources are located far from human habitation and are not readily accessible for human use. According to the United States Geological Survey (USGS), 96% of the world’s frozen freshwater is at the South and North Poles, with the remaining 4% spread over 550,000 km2 of glaciers and mountainous icecaps measuring about 180,000 km3 (UNEP, 1992; Untersteiner, 1975; WGMS, 1998, 2002).
Groundwater is by far the most abundant and readily available source of freshwater, followed by lakes, reservoirs, rivers and wetlands. Analysis indicates that:
- Groundwater represents over 90% of the world’s readily available freshwater resource (Boswinkel, 2000). About 1.5 billion people depend upon groundwater for their drinking water supply (WRI, UNEP, UNDP, World Bank, 1998).
- The amount of groundwater withdrawn annually is roughly estimated at 600-700 km3, representing about 20% of global water withdrawals (WMO, 1997).
- A comprehensive picture of the quantity of groundwater withdrawn and consumed annually around the world does not exist.
Most freshwater lakes are located at high altitudes, with nearly 50% of the world’s lakes located in Canada alone. Many lakes, especially those in arid regions, become salty through evaporation, which concentrates the inflowing salts. The Caspian Sea, the Dead Sea, and the Great Salt Lake are among the world’s major salt lakes.
Rivers form a hydrologic mosaic, with an estimated 263 international river basins covering 45.3% (231,059,898 km2) of the earth’s land surface, excluding Antarctica (UNEP, Oregon State University et al., in preparation). The total volume of water in the world’s rivers is estimated at 2,115 km3 (Groombridge and Jenkins, 1998).</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/freshwater-resources-volume-by-continent_thumbnail_005.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>169</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz (Le Monde diplomatique)</g:author>
<mapsgrida:descriptionnonhtml>Glaciers and ice caps cover about 10% of the world’s landmass. These are concentrated in Greenland and Antarctica and contain 70% of the world’s freshwater. Unfortunately, most of these resources are located far from human habitation and are not readily accessible for human use. According to the United States Geological Survey (USGS), 96% of the world’s frozen freshwater is at the South and North Poles, with the remaining 4% spread over 550,000 km2 of glaciers and mountainous icecaps measuring about 180,000 km3 (UNEP, 1992; Untersteiner, 1975; WGMS, 1998, 2002).
Groundwater is by far the most abundant and readily available source of freshwater, followed by lakes, reservoirs, rivers and wetlands. Analysis indicates that:
- Groundwater represents over 90% of the world’s readily available freshwater resource (Boswinkel, 2000). About 1.5 billion people depend upon groundwater for their drinking water supply (WRI, UNEP, UNDP, World Bank, 1998).
- The amount of groundwater withdrawn annually is roughly estimated at 600-700 km3, representing about 20% of global water withdrawals (WMO, 1997).
- A comprehensive picture of the quantity of groundwater withdrawn and consumed annually around the world does not exist.
Most freshwater lakes are located at high altitudes, with nearly 50% of the world’s lakes located in Canada alone. Many lakes, especially those in arid regions, become salty through evaporation, which concentrates the inflowing salts. The Caspian Sea, the Dead Sea, and the Great Salt Lake are among the world’s major salt lakes.
Rivers form a hydrologic mosaic, with an estimated 263 international river basins covering 45.3% (231,059,898 km2) of the earth’s land surface, excluding Antarctica (UNEP, Oregon State University et al., in preparation). The total volume of water in the world’s rivers is estimated at 2,115 km3 (Groombridge and Jenkins, 1998).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/freshwater-resources-volume-by-continent_006.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Anantarctica</g:label>
<g:label>human</g:label>
<g:label>habitation</g:label>
<g:label>accessible</g:label>
<g:label>human</g:label>
<g:label>united states</g:label>
<g:label>geological</g:label>
<g:label>survey</g:label>
<g:label>frozen</g:label>
<dc:contributor>Philippe Rekacewicz (Le Monde diplomatique)</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Igor A. Shiklomanov, State Hydrological Institute(SHI, St. Petersburg) and United Nations Educational, Scientific and Cultural Organisation (UNESCO, Paris), 1999; World Meteorlogical Organisation (WMO); International Council of Scientific Unions (ICSU); World Glacier Monitoring Service (WCMS); United Nations Geological Survey (USGS).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Freshwater stress</title>
<link>http://maps.grida.no/go/graphic/freshwater-stress</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Today, the great pressure on water resources is rising human populations, particularly growing concentrations in urban areas. This diagram shows the impact of expected population growth on water usage by 2025, based on the UN mid-range population projection. It uses the current rate of water use per person without taking into account possible increases in water use due to economic growth or improvements in water use efficiency. The regions most vulnerable to domestic water shortages include those where access to water is already limited, the population is growing rapidly, urban centers are spreading, and the economy is burdened by financial problems and a lack of skilled workers. Even if the world maintained the pace of the 1990s in water-supply development, this would not be enough to ensure that everyone had access to safe drinking water by the year 2025.
The impacts of climate change - including changes in temperature, precipitation and sea levels - are expected to have varying consequences for the availability of freshwater around the world. For example, changes in river runoff will affect the yields of rivers and reservoirs the recharging of groundwater supplies. An increase in the rate of evaporation will also affect water supplies and contribute to the salinisation of irrigated agricultural lands. Rising sea levels may result in saline intrusion in coastal aquifers. Current indications are that if climate change occurs gradually, the impacts by 2025 may be minor, with some countries experiencing positive impacts while most experience negative ones. Climate change impacts are projected to become increasingly strong during the decades following 2025. </description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/freshwater-stress_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>102</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Today, the great pressure on water resources is rising human populations, particularly growing concentrations in urban areas. This diagram shows the impact of expected population growth on water usage by 2025, based on the UN mid-range population projection. It uses the current rate of water use per person without taking into account possible increases in water use due to economic growth or improvements in water use efficiency. The regions most vulnerable to domestic water shortages include those where access to water is already limited, the population is growing rapidly, urban centers are spreading, and the economy is burdened by financial problems and a lack of skilled workers. Even if the world maintained the pace of the 1990s in water-supply development, this would not be enough to ensure that everyone had access to safe drinking water by the year 2025.
The impacts of climate change - including changes in temperature, precipitation and sea levels - are expected to have varying consequences for the availability of freshwater around the world. For example, changes in river runoff will affect the yields of rivers and reservoirs the recharging of groundwater supplies. An increase in the rate of evaporation will also affect water supplies and contribute to the salinisation of irrigated agricultural lands. Rising sea levels may result in saline intrusion in coastal aquifers. Current indications are that if climate change occurs gradually, the impacts by 2025 may be minor, with some countries experiencing positive impacts while most experience negative ones. Climate change impacts are projected to become increasingly strong during the decades following 2025. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/freshwater-stress.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Climate change</g:label>
<g:label>freshwater</g:label>
<g:label>rivers</g:label>
<g:label>lakes</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Global environment outlook 2000 (GEO), UNEP, Earthscan, London 1999</dc:source>
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</item>
<item>
<title>Freshwater Stress 1995 and 2025</title>
<link>http://maps.grida.no/go/graphic/freshwater-stress-1995-and-2025</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic shows the amount of water withdrawal as a percentage of the total available supply, at the national level in 1995 and in 2025 (projected amounts). Overall, the percentages are expected to rise substantially by 2025. This resource also includes a graphic showing the number of people suffering from water stress and water scarcity worldwide in 1995, compared to projected rates for the year 2050. As the population continues to rise, the number of people affected by water stress and water scarcity is expected to rise sharply.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/freshwater_stress_1995_and_2025_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>130</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic shows the amount of water withdrawal as a percentage of the total available supply, at the national level in 1995 and in 2025 (projected amounts). Overall, the percentages are expected to rise substantially by 2025. This resource also includes a graphic showing the number of people suffering from water stress and water scarcity worldwide in 1995, compared to projected rates for the year 2050. As the population continues to rise, the number of people affected by water stress and water scarcity is expected to rise sharply.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/freshwater_stress_1995_and_2025.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>water stress</g:label>
<g:label>water scarcity</g:label>
<g:label>water withdrawal</g:label>
<g:label>freshwater</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Meteorological Organisation (WMO), Geneva, 1996; Global Environment Outlook 2000 (GEO), UNEP, Earthscan, London, 1999.</dc:source>
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</item>
<item>
<title>Freshwater stress and risk</title>
<link>http://maps.grida.no/go/graphic/freshwater-stress-and-risk</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>One study suggests that although global water conditions may worsen by 2025 due to population pressure, climate change could have a net positive impact on global water resources.
NB! Note that other studies indicate that with present consumption patterns, 2 of every 3 persons on Earth will experience water stress by 2025.
The diagram on the left side shows the result of this particular study, indicating the water availability for the population. It should be noted that the study is based on runoff characteristics obtained for one particular climate scenario. Another macroeconomic study (not shown here) based on three climate scenarios led to similar conclusion for the Asian continent while suggesting that in Europe changed climate conditions will be associated with some decrease per capita water availability.
The diagram on the right-hand side shows a projection of the population living in increased and decreased water stress under three different CO2 emission scenarios in the 2080s.
Climate change is likely to have the greatest impact in countries with a high ratio of relative use to available supply. Regions with abundant water supplies are unlikely to be significantly affected, except for the possibility of increased flooding. Paradoxically, countries that currently have little water (e.g. those relying on desalinization) may be relatively unaffected. </description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/freshwater-stress-and-risk_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>118</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>One study suggests that although global water conditions may worsen by 2025 due to population pressure, climate change could have a net positive impact on global water resources.
NB! Note that other studies indicate that with present consumption patterns, 2 of every 3 persons on Earth will experience water stress by 2025.
The diagram on the left side shows the result of this particular study, indicating the water availability for the population. It should be noted that the study is based on runoff characteristics obtained for one particular climate scenario. Another macroeconomic study (not shown here) based on three climate scenarios led to similar conclusion for the Asian continent while suggesting that in Europe changed climate conditions will be associated with some decrease per capita water availability.
The diagram on the right-hand side shows a projection of the population living in increased and decreased water stress under three different CO2 emission scenarios in the 2080s.
Climate change is likely to have the greatest impact in countries with a high ratio of relative use to available supply. Regions with abundant water supplies are unlikely to be significantly affected, except for the possibility of increased flooding. Paradoxically, countries that currently have little water (e.g. those relying on desalinization) may be relatively unaffected. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/freshwater-stress-and-risk.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/84EF97D0-15CA-44D6-8A70-C786B070B4B5</guid>
<g:label>global</g:label>
<g:label>Climate change</g:label>
<g:label>freshwater</g:label>
<g:label>demography</g:label>
<g:label>development</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Climate change 1995, Impacts, adaptations and mitigation of climate change: scientific-technical analyses, contribution of working group 2 to the second assessment report of the intergovernmental panel on climate change, UNEP and WMO, Cambridge press univeristy, 1996; Climate change and its impacts, stabilisation of CO2 in the atmosphere, Hadley centre for climate prediction and research, the meteorological office, London, 1999</dc:source>
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<geo:long>0</geo:long>
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<gml:upperCorner>90 180</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>Freshwater stress and scarcity in africa by 2025</title>
<link>http://maps.grida.no/go/graphic/freshwater_stress_and_scarcity_in_africa_by_2025</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>According to Population Action International, based upon the UN medium population projections of 1998, more than 2.8 billion people in 48 countries will face water stress or water scarcity conditions by 2025. An area is experiencing water stress when annual water supplies drop below 1700 m3 per person. Water scarcity means that the annual water supply is below 1000 m3 per person. This graphic shows which African nations are expected to be experiencing water stress, and which are expected to be facing water scarcity, by the year 2025. It also includes a graphic which shows that as the world's population continues to grow, a higher proportion of the population will be affected by water stress and water scarcity.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/freshwater_stress_and_scarcity_in_africa_by_2025_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>159</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>According to Population Action International, based upon the UN medium population projections of 1998, more than 2.8 billion people in 48 countries will face water stress or water scarcity conditions by 2025. An area is experiencing water stress when annual water supplies drop below 1700 m3 per person. Water scarcity means that the annual water supply is below 1000 m3 per person. This graphic shows which African nations are expected to be experiencing water stress, and which are expected to be facing water scarcity, by the year 2025. It also includes a graphic which shows that as the world&apos;s population continues to grow, a higher proportion of the population will be affected by water stress and water scarcity.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/25_waterstress_africa.jpg</g:image_link>
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<g:label>geoafrica</g:label>
<g:label>water stress</g:label>
<g:label>water scarcity</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>United Nations Economic Commission for Africa (UNECA), Addis Ababa; Global Environment Outlook (GEO) 2000, UNEO, Earthscan, London, 1999, Population Action International.</dc:source>
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<geo:long>14.5</geo:long>
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<gml:upperCorner>40 62</gml:upperCorner>
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</item>
<item>
<title>Freshwater use by sector at the beginning of the 2000s</title>
<link>http://maps.grida.no/go/graphic/freshwater-use-by-sector-at-the-beginning-of-the-2000s</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz (Le Monde diplomatique)</mapsgrida:designer>
<description>The agricultural sector is by far the biggest user of freshwater. Analysis indicates that:
- In the United States, agriculture accounts for some 49% of total freshwater use, with 80% of this volume being used for irrigation (Shiklomanov, 1999).
- In Africa and Asia, an estimated 85-90% of all freshwater used is for agriculture (Shiklomanov, 1999).
- According to estimates for the year 2000, agriculture accounted for 67% of the world’s total freshwater withdrawal, and 86% of its consumption (UNESCO, 2000).
- By 2025, agriculture is expected to increase its water requirements by 1.3 times, industry by 1.5 times, and domestic consumption by 1.8 times (Shiklomanov, 1999).
- The world’s irrigation areas totalled approximately 253 million hectares in 1995. By 2010, they are expected to reach about 290 million hectares, and by 2025 about 330 million hectares (Shiklomanov, 1999).
- By the year 2000, an estimated 15% of the world’s cultivated lands had been irrigated for food crops, accounting for almost half the value of global crop production (UNESCO, 1999).
In the industrial sector, the biggest share of freshwater is stored in reservoirs and dams for electrical power generation and irrigation. However, the volume of water evaporated from reservoirs is estimated to exceed the combined freshwater needs of industry and domestic consumption. This greatly contributes to water losses around the world, especially in hot tropical regions (UNESCO, 1999).
Industrial uses account for about 20% of global freshwater withdrawals. Of this, 57-69% is used for hydropower and nuclear power generation, 30-40% for industrial processes, and 0.5-3% for thermal power generation (Shiklomanov, 1999).
Domestic water use is related to the quantity of water available to populations in cities and towns. Analysis indicates that:
- People in developed countries on average consume about 10 times more water daily than those in developing countries. It is estimated that the average person in developed countries uses 500-800 litres per day (300 m3 per year), compared to 60-150 litres per day (20 m3 per year) in developing countries (UNESCO, 2000).
- In large cities with a centralized water supply and an efficient canalization system, domestic consumption does not usually represent more than 5-10% of the total water withdrawal (intake) (UNESCO, 2000).
- Water withdrawal in large cities is estimated at 300-600 litres per person per day, while small cities have a water withdrawal of 100-150 litres per day, and consumption can reach 40-60% of the total water intake (UNESCO, 2000).
- In developing countries in Asia, Africa and Latin America, public water withdrawal represents just 50-100 litres per person per day. In regions with insufficient water resources, this figure may be as low as 20-60 litres per day (UNESCO, 2000).
is related to the quantity of water available to populations in cities and towns. Analysis indicates that:
- People in developed countries on average consume
Managing water resources using an integrated river basin management approach is the most sustainable way of ensuring ecosystem integrity. In this respect, there is a need to consider the economic value of freshwater ecosystems, including for fisheries, wildlife habitats, recreation and natural flood control.</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/freshwater-use-by-sector-at-the-beginning-of-the-2000s_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>154</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz (Le Monde diplomatique)</g:author>
<mapsgrida:descriptionnonhtml>The agricultural sector is by far the biggest user of freshwater. Analysis indicates that:
- In the United States, agriculture accounts for some 49% of total freshwater use, with 80% of this volume being used for irrigation (Shiklomanov, 1999).
- In Africa and Asia, an estimated 85-90% of all freshwater used is for agriculture (Shiklomanov, 1999).
- According to estimates for the year 2000, agriculture accounted for 67% of the world’s total freshwater withdrawal, and 86% of its consumption (UNESCO, 2000).
- By 2025, agriculture is expected to increase its water requirements by 1.3 times, industry by 1.5 times, and domestic consumption by 1.8 times (Shiklomanov, 1999).
- The world’s irrigation areas totalled approximately 253 million hectares in 1995. By 2010, they are expected to reach about 290 million hectares, and by 2025 about 330 million hectares (Shiklomanov, 1999).
- By the year 2000, an estimated 15% of the world’s cultivated lands had been irrigated for food crops, accounting for almost half the value of global crop production (UNESCO, 1999).
In the industrial sector, the biggest share of freshwater is stored in reservoirs and dams for electrical power generation and irrigation. However, the volume of water evaporated from reservoirs is estimated to exceed the combined freshwater needs of industry and domestic consumption. This greatly contributes to water losses around the world, especially in hot tropical regions (UNESCO, 1999).
Industrial uses account for about 20% of global freshwater withdrawals. Of this, 57-69% is used for hydropower and nuclear power generation, 30-40% for industrial processes, and 0.5-3% for thermal power generation (Shiklomanov, 1999).
Domestic water use is related to the quantity of water available to populations in cities and towns. Analysis indicates that:
- People in developed countries on average consume about 10 times more water daily than those in developing countries. It is estimated that the average person in developed countries uses 500-800 litres per day (300 m3 per year), compared to 60-150 litres per day (20 m3 per year) in developing countries (UNESCO, 2000).
- In large cities with a centralized water supply and an efficient canalization system, domestic consumption does not usually represent more than 5-10% of the total water withdrawal (intake) (UNESCO, 2000).
- Water withdrawal in large cities is estimated at 300-600 litres per person per day, while small cities have a water withdrawal of 100-150 litres per day, and consumption can reach 40-60% of the total water intake (UNESCO, 2000).
- In developing countries in Asia, Africa and Latin America, public water withdrawal represents just 50-100 litres per person per day. In regions with insufficient water resources, this figure may be as low as 20-60 litres per day (UNESCO, 2000).
is related to the quantity of water available to populations in cities and towns. Analysis indicates that:
- People in developed countries on average consume
Managing water resources using an integrated river basin management approach is the most sustainable way of ensuring ecosystem integrity. In this respect, there is a need to consider the economic value of freshwater ecosystems, including for fisheries, wildlife habitats, recreation and natural flood control.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/freshwater-use-by-sector-at-the-beginning-of-the-2000s_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14B3E887-9BAB-DABE-CF9C-F9F3A0BE7918</guid>
<g:label>global</g:label>
<g:label>total</g:label>
<g:label>freshwater</g:label>
<g:label>volume</g:label>
<g:label>irrigation</g:label>
<g:label>vital</g:label>
<g:label>water</g:label>
<g:label>estimated</g:label>
<g:label>use</g:label>
<dc:contributor>Philippe Rekacewicz (Le Monde diplomatique)</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Based on data from Table FW1 in World Resources 2001-2001, People and Ecosystems: The Fraying Web of Life, World Resources Institute (WRI), Washington DC, 2000.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Freshwater withdrawal in agriculture, industry and domestic use</title>
<link>http://maps.grida.no/go/graphic/freshwater_withdrawal_in_agriculture_industry_and_domestic_use</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The agricultural sector is by far the biggest user of freshwater, primarily for irrigation of arable land. This graphic shows the relative percentages of water use by the agricultural, industrial and domestic sectors in the countries of the world in 2000.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/freshwater_withdrawal_in_agriculture_industry_and_domestic_use_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>102</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The agricultural sector is by far the biggest user of freshwater, primarily for irrigation of arable land. This graphic shows the relative percentages of water use by the agricultural, industrial and domestic sectors in the countries of the world in 2000.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/freshwater_withdrawal_in_agriculture_industry_and_domestic_use.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/2FC06376-6F71-4D3F-8B8B-B93B80AF723E</guid>
<g:label>global</g:label>
<g:label>domestic water use</g:label>
<g:label>freshwater</g:label>
<g:label>agriculture</g:label>
<g:label>industry</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Resources 2000-2001, People and Ecosystems: the Fraying Web of Life, World Resources Institute (WRI), Washington DC, 2000.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:upperCorner>90 180</gml:upperCorner>
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</georss:where>
</item>
<item>
<title>From biomass to energy consumption</title>
<link>http://maps.grida.no/go/graphic/from-biomass-to-energy-consumption</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>As biomass feedstocks are widely available, bioenergy offers an attractive complement to fossil fuels and thus has potential to alleviate concerns of a geopolitical and energy security nature. However, only a small part of globally available biomass can be exploited in an economically, environmentally and socially sustainable way.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/from-biomass-to-energy-consumption_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>100</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>As biomass feedstocks are widely available, bioenergy offers an attractive complement to fossil fuels and thus has potential to alleviate concerns of a geopolitical and energy security nature. However, only a small part of globally available biomass can be exploited in an economically, environmentally and socially sustainable way.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/from-biomass-to-energy-consumption.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D70DFD7F-79AC-1089-25D4-C83E1513EFF8</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>biomass</g:label>
<g:label>energy</g:label>
<g:label>consumption</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>From wetlands to dry lands: the destruction of the Mesopotamian marshlands</title>
<link>http://maps.grida.no/go/graphic/from_wetlands_to_dry_lands_the_destruction_of_the_mesopotamian_marshlands</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Mesopotamian marshlands in the Tigris and Euphrates river basins were devastated by damming and river channelisation during the late 1980s. This graphic illustrates the decline in the area's marshlands by comparing the locations of its marshlands and lakes in 1973 and in 2000. The graphic shows the locations of permanent and seasonal marshes; permanent, shallow and seasonal lakes and mud flats or temporary marshes. The graphic for the year 2000 shows the former extent of the marshlands and that some of the marsh has been replaced by dead or dry vegetation.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/from_wetlands_to_dry_lands_the_destruction_of_the_mesopotamian_marshlands_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>156</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Mesopotamian marshlands in the Tigris and Euphrates river basins were devastated by damming and river channelisation during the late 1980s. This graphic illustrates the decline in the area&apos;s marshlands by comparing the locations of its marshlands and lakes in 1973 and in 2000. The graphic shows the locations of permanent and seasonal marshes; permanent, shallow and seasonal lakes and mud flats or temporary marshes. The graphic for the year 2000 shows the former extent of the marshlands and that some of the marsh has been replaced by dead or dry vegetation.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/31_mesopotamia.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/95296A73-5C5D-4BDE-951A-4FCF9B29D0CB</guid>
<g:label>IQ</g:label>
<g:label>marshland</g:label>
<g:label>river channelization</g:label>
<g:label>river channelisation</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>IQ</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>'Note: These two maps are sourced from satellite images and maps originally created by Hassan Partow, GRID-Geneva.' Source: Hassan Partow, 'The Mesopotamian Marshlands: Demise of an Ecosystem', UNEP, Division of Early Warning and Assessment (DEWA), 2001.</dc:source>
<geo:lat>33</geo:lat>
<geo:long>43</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>29 38</gml:lowerCorner>
<gml:upperCorner>37 48</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Future Expansion of Palm Oil in Indonesia</title>
<link>http://maps.grida.no/go/graphic/future-expansion-of-palm-oil-in-indonesia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Conversion to agriculture, including
the recent expansion in the area
devoted to oil palm plantations, continues
to be the main cause of forest
loss in Southeast Asia.</description>
<pubDate>Thu, 08 Oct 2009 17:05:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/future-expansion-of-palm-oil-in-indonesia_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>92</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Conversion to agriculture, including
the recent expansion in the area
devoted to oil palm plantations, continues
to be the main cause of forest
loss in Southeast Asia.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/future-expansion-of-palm-oil-in-indonesia_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10F5292D-1589-CA3A-1E8E-AC6290AAD080</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Colchester 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Fynbos ecoregion in South Africa</title>
<link>http://maps.grida.no/go/graphic/fynbos-ecoregion-in-south-africa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Fynbos ecoregion of South Africa stretches out in a coastal belt on the Western cape. This region is characterisied by heath- and shrubland and a mediterranean climate. Many of the plants inhabitating this ecoregion are evergreen with needle-life leafs.</description>
<pubDate>Fri, 15 Aug 2008 22:08:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/fynbos-ecoregion-in-south-africa_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>199</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Fynbos ecoregion of South Africa stretches out in a coastal belt on the Western cape. This region is characterisied by heath- and shrubland and a mediterranean climate. Many of the plants inhabitating this ecoregion are evergreen with needle-life leafs.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/fynbos-ecoregion-in-south-africa_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/13208259-14F8-7103-B97F-EBD933779A71</guid>
<g:label>ZA</g:label>
<g:label>habitat</g:label>
<g:label>ecoregions</g:label>
<g:label>plants</g:label>
<g:label>biodiversity</g:label>
<g:label>fynbos</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>ZA</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>(not documented)</dc:source>
<geo:lat>-34</geo:lat>
<geo:long>25.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-46 14</gml:lowerCorner>
<gml:upperCorner>-22 37</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Gas Arctic</title>
<link>http://maps.grida.no/go/graphic/gas-arctic</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Laura Margueritte </mapsgrida:designer>
<description>The temperature regime of sub-sea permafrost is determined by the annual temperature of the surrounding seawater, just like the thermal regime of terrestrial permafrost is determined by the arctic surface temperature.</description>
<pubDate>Tue, 27 Oct 2009 19:33:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/gas-arctic_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>184</mapsgrida:thumbnailHeight>
<g:author>Laura Margueritte </g:author>
<mapsgrida:descriptionnonhtml>The temperature regime of sub-sea permafrost is determined by the annual temperature of the surrounding seawater, just like the thermal regime of terrestrial permafrost is determined by the arctic surface temperature.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/gas-arctic_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10AF084F-5FFE-C3EC-93D6-10C86115C58E</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Laura Margueritte </dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Gender (im)balance in the delegation of parties (COP) on climate change</title>
<link>http://maps.grida.no/go/graphic/gender-im-balance-in-the-delegation-of-parties-cop-on-climate-change</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Critical importance is the under-representation of women in
policy and decision-making institutions, in dialogue on adaptation to climate change, in the governance of natural resources and in other important livelihood dimensions. Numerous position papers on climate change recognise and argue the importance of integrating gender issues and increasing women’s participation in climate change negotiations and processes (IUCN – The International Union for the Conservation of Nature, Gender CC – Women for Climate Justice, GGCA – Global Gender and
Climate Alliance, etc.). This is important, but critical bodies on climate change have an under-representation of women, and in particular, women from the South (MacGregor, 2010). </description>
<pubDate>Tue, 06 Dec 2011 11:45:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/gender-im-balance-in-the-delegation-of-parties-cop-on-climate-change_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>139</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Critical importance is the under-representation of women in
policy and decision-making institutions, in dialogue on adaptation to climate change, in the governance of natural resources and in other important livelihood dimensions. Numerous position papers on climate change recognise and argue the importance of integrating gender issues and increasing women’s participation in climate change negotiations and processes (IUCN – The International Union for the Conservation of Nature, Gender CC – Women for Climate Justice, GGCA – Global Gender and
Climate Alliance, etc.). This is important, but critical bodies on climate change have an under-representation of women, and in particular, women from the South (MacGregor, 2010). </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/gender-im-balance-in-the-delegation-of-parties-cop-on-climate-change_002.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/134D136A-136D-1051-2354-7AFCB4691818</guid>
<g:label>global</g:label>
<g:label>women</g:label>
<g:label>climate change</g:label>
<g:label>gender impalance in decision making</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Gender CC, accessed November 2011</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Gender division of labour in agriculture and household activities - Nepal and India</title>
<link>http://maps.grida.no/go/graphic/gender-division-of-labour-in-agriculture-and-household-activities-nepal-and-india</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In Nepal, the gender division of labour is highly
skewed, especially when agricultural, pastoral and wage
labour is combined with household, community and casual labour, and when high rates of men’s out-migration to urban cities, towns and cross-border destinations in the region and beyond, are considered.
Recent comparative research on the ‘feminisation’ of
agriculture and natural resource management, undertaken
by ICIMOD and supported by IFAD, illustrates this trend,
whereby in some mountain regions in India women
undertake 4.6 to 5.7 times the agricultural work men carry
out. In Nepal, the range is skewed even more with women
carrying out 6.3 to 6.6 times the agricultural work that men carry out (ICIMOD, forthcoming). Furthermore, national
reports often present up to 64% of the population of women
in South Asia as being “non-active or non-reported”, reflecting that much of women’s work in rural areas is informal, non-formal, unpaid and not counted, and thus goes unrecorded (FAO, 2010a).
This graphic shows hours a woman and men spent in agriculture and household activities.</description>
<pubDate>Tue, 06 Dec 2011 11:45:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/gender-division-of-labour-in-agriculture-and-household-activities-nepal-and-india_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>224</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In Nepal, the gender division of labour is highly
skewed, especially when agricultural, pastoral and wage
labour is combined with household, community and casual labour, and when high rates of men’s out-migration to urban cities, towns and cross-border destinations in the region and beyond, are considered.
Recent comparative research on the ‘feminisation’ of
agriculture and natural resource management, undertaken
by ICIMOD and supported by IFAD, illustrates this trend,
whereby in some mountain regions in India women
undertake 4.6 to 5.7 times the agricultural work men carry
out. In Nepal, the range is skewed even more with women
carrying out 6.3 to 6.6 times the agricultural work that men carry out (ICIMOD, forthcoming). Furthermore, national
reports often present up to 64% of the population of women
in South Asia as being “non-active or non-reported”, reflecting that much of women’s work in rural areas is informal, non-formal, unpaid and not counted, and thus goes unrecorded (FAO, 2010a).
This graphic shows hours a woman and men spent in agriculture and household activities.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/gender-division-of-labour-in-agriculture-and-household-activities-nepal-and-india_005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1051BE1B-1794-E0A4-E420-A386446A98AD</guid>
<g:label>asia</g:label>
<g:label>women</g:label>
<g:label>climate change</g:label>
<g:label>gender division of labour</g:label>
<g:label>India</g:label>
<g:label>Nepal</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>asia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Verma, R., Choudhury, D., Khadka, M., Jain, A. and Lama, K., forthcoming, 'Feminization' of Agriculture and Natural Resource Management in the Himalayas, IFAD funded project, Kathmandu: Nepal</dc:source>
<geo:lat>39.5</geo:lat>
<geo:long>102.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-10 26</gml:lowerCorner>
<gml:upperCorner>89 179</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Gender division of labour in agriculture and household activities - Nepal and India</title>
<link>http://maps.grida.no/go/graphic/gender-division-of-labour-in-agriculture-and-household-activities-nepal-and-india1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In Nepal, the gender division of labour is highly
skewed, especially when agricultural, pastoral and wage
labour is combined with household, community and casual labour, and when high rates of men’s out-migration to urban cities, towns and cross-border destinations in the region and beyond, are considered.
Recent comparative research on the ‘feminisation’ of
agriculture and natural resource management, undertaken
by ICIMOD and supported by IFAD, illustrates this trend,
whereby in some mountain regions in India women
undertake 4.6 to 5.7 times the agricultural work men carry
out. In Nepal, the range is skewed even more with women
carrying out 6.3 to 6.6 times the agricultural work that men carry out (ICIMOD, forthcoming). Furthermore, national
reports often present up to 64% of the population of women
in South Asia as being “non-active or non-reported”, reflecting that much of women’s work in rural areas is informal, non-formal, unpaid and not counted, and thus goes unrecorded (FAO, 2010a).
This graphic shows hours a woman and men spent in agriculture and household activities.</description>
<pubDate>Tue, 06 Dec 2011 11:45:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/gender-division-of-labour-in-agriculture-and-household-activities-nepal-and-india_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>222</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In Nepal, the gender division of labour is highly
skewed, especially when agricultural, pastoral and wage
labour is combined with household, community and casual labour, and when high rates of men’s out-migration to urban cities, towns and cross-border destinations in the region and beyond, are considered.
Recent comparative research on the ‘feminisation’ of
agriculture and natural resource management, undertaken
by ICIMOD and supported by IFAD, illustrates this trend,
whereby in some mountain regions in India women
undertake 4.6 to 5.7 times the agricultural work men carry
out. In Nepal, the range is skewed even more with women
carrying out 6.3 to 6.6 times the agricultural work that men carry out (ICIMOD, forthcoming). Furthermore, national
reports often present up to 64% of the population of women
in South Asia as being “non-active or non-reported”, reflecting that much of women’s work in rural areas is informal, non-formal, unpaid and not counted, and thus goes unrecorded (FAO, 2010a).
This graphic shows hours a woman and men spent in agriculture and household activities.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/gender-division-of-labour-in-agriculture-and-household-activities-nepal-and-india_006.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/B6AC9A5E-5D83-188F-DE10-BD991483D3C0</guid>
<g:label>asia</g:label>
<g:label>women</g:label>
<g:label>climate change</g:label>
<g:label>gender division of labour</g:label>
<g:label>India</g:label>
<g:label>Nepal</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>asia</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Verma, R., Choudhury, D., Khadka, M., Jain, A. and Lama, K., forthcoming, 'Feminization' of Agriculture and Natural Resource Management in the Himalayas, IFAD funded project, Kathmandu: Nepal</dc:source>
<geo:lat>39.5</geo:lat>
<geo:long>102.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-10 26</gml:lowerCorner>
<gml:upperCorner>89 179</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Gender equality and empowerment of women: education status</title>
<link>http://maps.grida.no/go/graphic/gender_equality_and_empowerment_of_women_education_status</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Millennium Development Goal 3 address gender equality and empowerment of women. This map displays the status in 2001 of an indicator for target 4: 'Eliminate gender disparity in primary and secondary education, preferably by 2005, and in all levels of education no later than 2015'. According to the data the situation needs to be addressed primarily in central Africa and West and Southern Asia.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/gender_education.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>129</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Millennium Development Goal 3 address gender equality and empowerment of women. This map displays the status in 2001 of an indicator for target 4: &apos;Eliminate gender disparity in primary and secondary education, preferably by 2005, and in all levels of education no later than 2015&apos;. According to the data the situation needs to be addressed primarily in central Africa and West and Southern Asia.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/gender_education1.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/BFB32D19-DAB1-BDCC-4985-BF8CFD8E0C5C</guid>
<g:label>global</g:label>
<g:label>gender</g:label>
<g:label>development</g:label>
<g:label>mdg</g:label>
<g:label>education</g:label>
<g:label>poverty</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UN Stats, UN MDG indicators database.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Gender equality and empowerment of women: eliminate differences in education</title>
<link>http://maps.grida.no/go/graphic/gender_equality_and_empowerment_of_women_eliminate_differences_in_education</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In increasing living standards, sustainability and livelihoods and eliminating poverty, gender equality and education are seen as some of the main means. This is further recognized in the Millennium Development Goals, as goal 3: 'Promote gender equality and empower women'. This map illustrates one of the indicators for indicator 9 (target 4) under this goal, and the Millennium Project assesses the current progress in reaching the goal as good for Northern Africa, and recognizes advancements in Sub-Saharan Africa, but there it is still lagging for reaching the goal.</description>
<pubDate>Thu, 02 Nov 2006 16:51:57 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/gender_equality_and_empowerment_of_women_eliminate_differences_in_education_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>186</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In increasing living standards, sustainability and livelihoods and eliminating poverty, gender equality and education are seen as some of the main means. This is further recognized in the Millennium Development Goals, as goal 3: &apos;Promote gender equality and empower women&apos;. This map illustrates one of the indicators for indicator 9 (target 4) under this goal, and the Millennium Project assesses the current progress in reaching the goal as good for Northern Africa, and recognizes advancements in Sub-Saharan Africa, but there it is still lagging for reaching the goal.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/gender_equality_and_empowerment_of_women_eliminate_differences_in_education_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/150AA129-1363-D325-82F8-C175EE037278</guid>
<g:label>geoafrica</g:label>
<g:label>gender</g:label>
<g:label>education</g:label>
<g:label>women</g:label>
<g:label>girls</g:label>
<g:label>school</g:label>
<g:label>boys</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoafrica</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UN MDG Statistics database</dc:source>
<geo:lat>0</geo:lat>
<geo:long>17</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-37 -32</gml:lowerCorner>
<gml:upperCorner>37 66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Generation of Hazardous Wastes and Other Wastes (Belgium Excluded) by Y Categories in 1997 in Million Metric Tonnes</title>
<link>http://maps.grida.no/go/graphic/generation_of_hazardous_wastes_and_other_wastes_belgium_excluded_by_y_categories_in_1997_in_million_metric_tonnes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic shows the generation of hazardous wastes and other wastes by Y categories in 1997, in millions of metric tonnes, by some of the parties to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal. The graphic includes amounts for three Y categories: Y1-Y18 (waste streams), Y19-Y45 (wastes having as constituents various hazardous substances) and Y46-Y47 (wastes requiring special consideration). This graphic does not include data for Belgium, which mixed hazardous and non-hazardous waste when reporting its figures to the Convention. Further explanation of Y categories can be found in Appendix 2 of the Guide to the Basel Convention Control System for Hazardous Wastes at http://www.basel.int/pub/instruct.html#appendix2.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_generation_of_hazardous_wastes_and_other_wastes_belgium_excluded_by_y_categories_in_1997_in_million_metric_tonnes_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>154</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic shows the generation of hazardous wastes and other wastes by Y categories in 1997, in millions of metric tonnes, by some of the parties to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal. The graphic includes amounts for three Y categories: Y1-Y18 (waste streams), Y19-Y45 (wastes having as constituents various hazardous substances) and Y46-Y47 (wastes requiring special consideration). This graphic does not include data for Belgium, which mixed hazardous and non-hazardous waste when reporting its figures to the Convention. Further explanation of Y categories can be found in Appendix 2 of the Guide to the Basel Convention Control System for Hazardous Wastes at http://www.basel.int/pub/instruct.html#appendix2.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/generation_of_hazardous_wastes_and_other_wastes_belgium_excluded_by_y_categories_in_1997_in_million_metric_tonnes_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>hazardous waste generation</g:label>
<g:label>transport of hazardous waste</g:label>
<g:label>transboundary movement of hazardous waste</g:label>
<g:label>international movement of hazardous waste</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Secretariat of the Basel Convention (data as reported by the parties), http://www.basel.int, Email: sbc@unep.ch</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
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</item>
<item>
<title>Generation of Hazardous Wastes and Other Wastes by Y Categories in 1997 in Million Metric Tonnes</title>
<link>http://maps.grida.no/go/graphic/generation_of_hazardous_wastes_and_other_wastes_by_y_categories_in_1997_in_million_metric_tonnes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic shows the generation of hazardous wastes and other wastes by Y categories in 1997, in millions of metric tonnes, by some of the parties to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal. The graphic includes amounts for three Y categories: Y1-Y18 (waste streams), Y19-Y45 (wastes having as constituents various hazardous substances) and Y46-Y47 (wastes requiring special consideration). Further explanation of Y categories can be found in Appendix 2 of the Guide to the Basel Convention Control System for Hazardous Wastes at http://www.basel.int/pub/instruct.html#appendix2.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_generation_of_hazardous_wastes_and_other_wastes_by_y_categories_in_1997_in_million_metric_tonnes.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>155</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic shows the generation of hazardous wastes and other wastes by Y categories in 1997, in millions of metric tonnes, by some of the parties to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal. The graphic includes amounts for three Y categories: Y1-Y18 (waste streams), Y19-Y45 (wastes having as constituents various hazardous substances) and Y46-Y47 (wastes requiring special consideration). Further explanation of Y categories can be found in Appendix 2 of the Guide to the Basel Convention Control System for Hazardous Wastes at http://www.basel.int/pub/instruct.html#appendix2.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/generation_of_hazardous_wastes_and_other_wastes_by_y_categories_in_1997_in_million_metric_tonnes.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>generation of hazardous waste</g:label>
<g:label>transport of hazardous waste</g:label>
<g:label>transboundary movement of hazardous waste</g:label>
<g:label>international movement of hazardous waste</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Secretariat of the Basel Convention (data as reported by the parties), http://www.basel.int, Email: sbc@unep.ch</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Georgia, topographic map</title>
<link>http://maps.grida.no/go/graphic/georgia_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The country of Georgia is located in the Caucasus region of Asia, with a coastline towards the Black Sea. The 4.7 million country was a republic in the former Soviet Union, and is now an economy in transition and a member of the Commonwealth of Independent States (CIS).</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_web_georgia_topographic_map.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>161</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The country of Georgia is located in the Caucasus region of Asia, with a coastline towards the Black Sea. The 4.7 million country was a republic in the former Soviet Union, and is now an economy in transition and a member of the Commonwealth of Independent States (CIS).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/web_georgia_topographic_map.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/293AC271-5EE8-4D06-A05C-8F72BEF81394</guid>
<g:label>GE</g:label>
<g:label>georgia</g:label>
<g:label>caucaus</g:label>
<g:label>transition</g:label>
<g:label>cis</g:label>
<g:label>commonwealth of independent states</g:label>
<g:label>soviet union</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>GE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The Times Atlas of the World</dc:source>
<geo:lat>42</geo:lat>
<geo:long>43</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>41 40</gml:lowerCorner>
<gml:upperCorner>43 46</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>German transportation means German transportation means</title>
<link>http://maps.grida.no/go/graphic/german-transportation-means-german-transportation-means</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>(in pink, the average German rates used here). Better results can be obtained for metro, tram and train if more people are using them (better network and schedules, accessibility, affordability and competitiveness compared to cars).</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/german-transportation-means-german-transportation-means_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>177</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>(in pink, the average German rates used here). Better results can be obtained for metro, tram and train if more people are using them (better network and schedules, accessibility, affordability and competitiveness compared to cars).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/german-transportation-means-german-transportation-means.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/E114D628-67FB-A5DF-48BB-14AD92FB60A1</guid>
<g:label>DE</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>DE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Gunnar Gohlisch, Umweltbundesamt (German Federal Environmental Agency), 2005.</dc:source>
<geo:lat>51</geo:lat>
<geo:long>10</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>47 5</gml:lowerCorner>
<gml:upperCorner>55 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Germany emissions of greenhouse gases (CO2, CH4, N2O) 1990 and 2010 projections</title>
<link>http://maps.grida.no/go/graphic/germany_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/germany_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>197</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/germany_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections.jpg</g:image_link>
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<g:label>DE</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>methane</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>DE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>51</geo:lat>
<geo:long>10</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>47 5</gml:lowerCorner>
<gml:upperCorner>55 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Germany, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/germany_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.This graphic shows total greenhouse gas emissions from Germany. Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop6_total_greenhouse_gas_emissions_germany_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001.This graphic shows total greenhouse gas emissions from Germany. Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop6_total_greenhouse_gas_emissions_germany.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7D47D472-1A39-462A-974A-FF800597D196</guid>
<g:label>DE</g:label>
<g:label>cop7</g:label>
<g:label>Germany</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<g:label></g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>DE</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Actual emissions UNFCCC/SB1/2000/11 table B.1
Projected emissions UNFCCC/1998/Add.2 table C.6
</dc:source>
<geo:lat>51</geo:lat>
<geo:long>10</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>47 5</gml:lowerCorner>
<gml:upperCorner>55 15</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Ghana, topographic map</title>
<link>http://maps.grida.no/go/graphic/ghana_topographic_map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Overview of the western African country of Ghana, with topography and major cities, as well as lakes and rivers. Ghana is inhabitaed by 21 million people, and the capital is Accra, on the Atlantic coast. Environmental issues, according to the CIA factbook, are: recurrent drought in north severely affects agricultural activities; deforestation; overgrazing; soil erosion; poaching and habitat destruction threatens wildlife populations; water pollution; inadequate supplies of potable water.</description>
<pubDate>Tue, 14 Mar 2006 18:44:42 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/ghana_topographic_map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>307</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Overview of the western African country of Ghana, with topography and major cities, as well as lakes and rivers. Ghana is inhabitaed by 21 million people, and the capital is Accra, on the Atlantic coast. Environmental issues, according to the CIA factbook, are: recurrent drought in north severely affects agricultural activities; deforestation; overgrazing; soil erosion; poaching and habitat destruction threatens wildlife populations; water pollution; inadequate supplies of potable water.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/ghana_topographic_map_001.jpg</g:image_link>
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<g:label>GH</g:label>
<g:label>ghana</g:label>
<g:label>west africa</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>GH</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>7.941385</geo:lat>
<geo:long>-1.023055</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>4.72708 -3.24889</gml:lowerCorner>
<gml:upperCorner>11.15569 1.20278</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Glacier changes on Nevado de Santa Isabel, Colombia</title>
<link>http://maps.grida.no/go/graphic/glacier-changes-on-nevado-de-santa-isabel-colombia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>With spectacular mountain peak glaciers melting away, the NEvado de Santa Isabel area in Colombia becomes less attractive to tourists. In addition, the local forestry and agricultural fertility suffer may suffer from reduced spring water. The retreat of glaciers is an indicator for changes in regional and global climate.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/glacier-changes-on-nevado-de-santa-isabel-colombia_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>82</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>With spectacular mountain peak glaciers melting away, the NEvado de Santa Isabel area in Colombia becomes less attractive to tourists. In addition, the local forestry and agricultural fertility suffer may suffer from reduced spring water. The retreat of glaciers is an indicator for changes in regional and global climate.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/glacier-changes-on-nevado-de-santa-isabel-colombia.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5537B484-B402-6260-18C3-11C73B7123D0</guid>
<g:label>CO</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>snow</g:label>
<g:label>glaciers</g:label>
<g:label>climate change</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>CO</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Data from the World Glacier Monitoring Service, Zurich, Switzerland</dc:source>
<geo:lat>4</geo:lat>
<geo:long>-73.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-4 -81</gml:lowerCorner>
<gml:upperCorner>12 -66</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Glacier cumulative mass balance</title>
<link>http://maps.grida.no/go/graphic/glacier-cumulative-mass-balance</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni</mapsgrida:designer>
<description>Compilation of available data (Fig. 1) shows that most mountain glaciers are losing mass, and that the overall rate of mass loss has increased in the last decade. For the last decade the highest mass loss per unit area has been observed in the European Alps, Patagonia, Alaska, and north-western USA/south-western Canada (Kaser et al., 2006, Lemke et al., 2007, Arendt et al., 2009). </description>
<pubDate>Tue, 07 Dec 2010 16:10:39 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/glacier-cumulative-mass-balance_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>193</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni</g:author>
<mapsgrida:descriptionnonhtml>Compilation of available data (Fig. 1) shows that most mountain glaciers are losing mass, and that the overall rate of mass loss has increased in the last decade. For the last decade the highest mass loss per unit area has been observed in the European Alps, Patagonia, Alaska, and north-western USA/south-western Canada (Kaser et al., 2006, Lemke et al., 2007, Arendt et al., 2009). </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/glacier-cumulative-mass-balance_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/95FB59F2-5CAC-1168-90E5-14CA0C40603E</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Source : Dyurgerov and Meier , 2005</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Glacier front variations in the European Alps</title>
<link>http://maps.grida.no/go/graphic/glacier-front-variations-in-the-european-alps</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Large Alpine glaciers have retreated continuously since the mid- 19th century, whereas steep mid-sized glaciers reacted with readvances in the 1890s, 1920s and between the 1970s and 1980s due to the somewhat cooler and wetter periods. Small glaciers feature a high annual variability with a clear shrinking trend.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/glacier-front-variations-in-the-european-alps_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>345</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Large Alpine glaciers have retreated continuously since the mid- 19th century, whereas steep mid-sized glaciers reacted with readvances in the 1890s, 1920s and between the 1970s and 1980s due to the somewhat cooler and wetter periods. Small glaciers feature a high annual variability with a clear shrinking trend.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/glacier-front-variations-in-the-european-alps.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/15BE3C65-1042-F5AB-4D4E-9DA95E8B7D70</guid>
<g:label>alps</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>snow</g:label>
<g:label>glaciers</g:label>
<g:label>climate change</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>alps</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Data from the World Glacier Monitoring Service, Zurich, Switzerland</dc:source>
<geo:lat>47.5</geo:lat>
<geo:long>10</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>45 0</gml:lowerCorner>
<gml:upperCorner>50 20</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Glacier Lake Outburst Floods</title>
<link>http://maps.grida.no/go/graphic/glacier-lake-outburst-floods</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni</mapsgrida:designer>
<description>Cumulative frequency graph of GLOFs in Nepal,
Bhutan and Tibet. The best-ft line suggests an increase in
GLOF frequency through time, although older events may be
under-reported. GLOFs also took place in Patagonia, Chile in
2008 and 2009 (Dussaillant et al., 2010)(From Richardson
and Reynolds, 2000).</description>
<pubDate>Tue, 07 Dec 2010 16:10:39 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/glacier-lake-outburst-floods_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>224</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni</g:author>
<mapsgrida:descriptionnonhtml>Cumulative frequency graph of GLOFs in Nepal,
Bhutan and Tibet. The best-ft line suggests an increase in
GLOF frequency through time, although older events may be
under-reported. GLOFs also took place in Patagonia, Chile in
2008 and 2009 (Dussaillant et al., 2010)(From Richardson
and Reynolds, 2000).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/glacier-lake-outburst-floods_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/15065108-ED8E-8DEB-E74D-1722DC2DEAF1</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Source: reproduced from Richardson and Reynolds, An overview of glacial hazards in the Himalayas. Quaternary International, 65-66, 31-47., 2000.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Glacier Mass Balance</title>
<link>http://maps.grida.no/go/graphic/glacier-mass-balance</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Laura Margueritte </mapsgrida:designer>
<description>Glacier mass loss has been observed across the Arctic, consistent with the global trend.</description>
<pubDate>Wed, 28 Oct 2009 12:51:23 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/glacier-mass-balance_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>195</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Laura Margueritte </g:author>
<mapsgrida:descriptionnonhtml>Glacier mass loss has been observed across the Arctic, consistent with the global trend.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/glacier-mass-balance_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A05663CE-6700-1356-0961-8720358BFE15</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Laura Margueritte </dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Dyurgerov and Meier, 2005.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Glacier recession and expansion in Hindu Kush-Himalayas and Central Asia</title>
<link>http://maps.grida.no/go/graphic/glacier-recession-and-expansion-in-hindu-kush-himalayas-and-central-asia</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni</mapsgrida:designer>
<description>Averaged over their entire areas, within the period 1960–
2003 glaciers in Patagonia and Alaska have thinned by ap-
proximately 35 m and 25 m, respectively, whereas high
mountain glaciers in Asia have thinned by over 10 m. Data
for Patagonia and Alaska are computed from glacier surface
elevations for dozens of glaciers. In many other high moun-
tain environments such as the Himalayas and the high Andes,
where data are limited due to both diffcult access to the high altitude regions and for political reasons, the exact amount of regional mass loss remains subject to some uncertainty (Fig. 2). This makes it diffcult to compare rates of change with other regions. Recent satellite observations, however, have con
frmed that glaciers in many mountain regions are thinning
(e.g. Berthier et al., 2007; Paul et al., 2007; Bolch et al., 2008a, b), conclusively showing that the majority of mountain glaciers are losing mass in response to climate changes. </description>
<pubDate>Tue, 07 Dec 2010 16:10:39 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/glacier-recession-and-expansion-in-hindu-kush-himalayas-and-central-asia_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>222</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni</g:author>
<mapsgrida:descriptionnonhtml>Averaged over their entire areas, within the period 1960–
2003 glaciers in Patagonia and Alaska have thinned by ap-
proximately 35 m and 25 m, respectively, whereas high
mountain glaciers in Asia have thinned by over 10 m. Data
for Patagonia and Alaska are computed from glacier surface
elevations for dozens of glaciers. In many other high moun-
tain environments such as the Himalayas and the high Andes,
where data are limited due to both diffcult access to the high altitude regions and for political reasons, the exact amount of regional mass loss remains subject to some uncertainty (Fig. 2). This makes it diffcult to compare rates of change with other regions. Recent satellite observations, however, have con
frmed that glaciers in many mountain regions are thinning
(e.g. Berthier et al., 2007; Paul et al., 2007; Bolch et al., 2008a, b), conclusively showing that the majority of mountain glaciers are losing mass in response to climate changes. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/glacier-recession-and-expansion-in-hindu-kush-himalayas-and-central-asia_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/AE579F3B-132B-1753-2B6D-1715412E037F</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ICIMOD online database, accessed in July 2010; ICIMOD, Change in Glacial Environment of Everest Region, Nepal, 2008; WGMS online database, accessed in July 2010.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Glacier shrinkage in hypothetical river basins</title>
<link>http://maps.grida.no/go/graphic/glacier-shrinkage-in-hypothetical-river-basins</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni</mapsgrida:designer>
<description>Downstream variation in the impact of glacier recession is
illustrated in Figure 5, which shows modelled river fows for
idealized catchments under climates representative of the
western and eastern Himalaya and a 0.06º C per year warming scenario. In the upper parts of the river basins, where
glaciers occupy 95% of the catchment area, the impact of glacier shrinkage is large. River discharges increase until mid-century, after which they decline to a base level equal to the
annual precipitation totals. When larger catchments are con-
sidered, the percentage glacierized area is smaller, and the impact of glacier shrinkage is much reduced. For modelled catchments with an area of 5,000 square km and 1% glacier cover, the impact of deglaciation is barely detectable in the ‘eastern’ area, where there is high monsoon precipitation insummer. The effect is more signifcant in the ‘western’ area with its dry summer, but the downstream decrease in impact is still clearly evident. </description>
<pubDate>Tue, 07 Dec 2010 16:10:39 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/glacier-shrinkage-in-hypothetical-river-basins_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>144</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni</g:author>
<mapsgrida:descriptionnonhtml>Downstream variation in the impact of glacier recession is
illustrated in Figure 5, which shows modelled river fows for
idealized catchments under climates representative of the
western and eastern Himalaya and a 0.06º C per year warming scenario. In the upper parts of the river basins, where
glaciers occupy 95% of the catchment area, the impact of glacier shrinkage is large. River discharges increase until mid-century, after which they decline to a base level equal to the
annual precipitation totals. When larger catchments are con-
sidered, the percentage glacierized area is smaller, and the impact of glacier shrinkage is much reduced. For modelled catchments with an area of 5,000 square km and 1% glacier cover, the impact of deglaciation is barely detectable in the ‘eastern’ area, where there is high monsoon precipitation insummer. The effect is more signifcant in the ‘western’ area with its dry summer, but the downstream decrease in impact is still clearly evident. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/glacier-shrinkage-in-hypothetical-river-basins_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/17A9F66E-159E-7DFB-6809-17946EE55C20</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Rees, H.G., and Collins, D., N., Regional differences in response of flow in glacier-fed Himalayan rivers to climatic warming, Hydrological Processes, 20, 2157–2169, 2006.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Glacier shrinking on Cumberland Peninsula, Baffin Island, Canadian Arctic</title>
<link>http://maps.grida.no/go/graphic/glacier-shrinking-on-cumberland-peninsula-baffin-island-canadian-arctic</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>A new glacier inventory based on satellite data shows that the glacier cover reduced by about 22 per cent between the Little Ice Age (LIA) maximum extent and 2000. Changes in glacier area and volume are being used as indicators for climate change and global warming.</description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/glacier-shrinking-on-cumberland-peninsula-baffin-island-canadian-arctic_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>201</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>A new glacier inventory based on satellite data shows that the glacier cover reduced by about 22 per cent between the Little Ice Age (LIA) maximum extent and 2000. Changes in glacier area and volume are being used as indicators for climate change and global warming.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/glacier-shrinking-on-cumberland-peninsula-baffin-island-canadian-arctic_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/124B4D38-9B13-B545-3442-C581872AD517</guid>
<g:label>baffinisland</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>snow</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>baffinisland</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Data and figure from F. Svoboda, University of Zurich, Switzerland</dc:source>
<geo:lat>77.5</geo:lat>
<geo:long>-15</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>70 -90</gml:lowerCorner>
<gml:upperCorner>85 60</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Glacier volume change forecasts</title>
<link>http://maps.grida.no/go/graphic/glacier-volume-change-forecasts</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni</mapsgrida:designer>
<description>Oerlemans et al. (1998) conducted modelling experiments for a sample of 12 glaciers and ice caps, to determine volume changes under a range of temperature and precipitation forcings (Fig. 3). The range of glacier response is very wide, so a key issue is fnding ways to upscale the results of modelling this tiny sample of glaciers to large regions. Figure 2 shows the results of two alternative weighting procedures. Although the
absolute values of volume change differ, the results imply that with a warming rate of 0.04° C yr–1 (4° C per century) and no increase in precipitation, little glacier ice would be left by 2100, whereas if warming is restricted to 0.01° C yr–1 and precipitation increases by 10% per degree of warming, then ice losses will be restricted to 10 to 20% of the 1990 value. It must be emphasized that the results are far from certain, and that the actual response of glaciers will exhibit considerable regional variability. </description>
<pubDate>Tue, 07 Dec 2010 16:10:39 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/glacier-volume-change-forecasts_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>122</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni</g:author>
<mapsgrida:descriptionnonhtml>Oerlemans et al. (1998) conducted modelling experiments for a sample of 12 glaciers and ice caps, to determine volume changes under a range of temperature and precipitation forcings (Fig. 3). The range of glacier response is very wide, so a key issue is fnding ways to upscale the results of modelling this tiny sample of glaciers to large regions. Figure 2 shows the results of two alternative weighting procedures. Although the
absolute values of volume change differ, the results imply that with a warming rate of 0.04° C yr–1 (4° C per century) and no increase in precipitation, little glacier ice would be left by 2100, whereas if warming is restricted to 0.01° C yr–1 and precipitation increases by 10% per degree of warming, then ice losses will be restricted to 10 to 20% of the 1990 value. It must be emphasized that the results are far from certain, and that the actual response of glaciers will exhibit considerable regional variability. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/glacier-volume-change-forecasts_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/DBD30170-C104-F1E1-4497-10C76A1065E3</guid>
<g:label>global</g:label>
<dc:contributor>Riccardo Pravettoni</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Oerlemans et al., Climate Dynamics, 1998</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Glaciers monitored through the World Glacier Monitoring Service</title>
<link>http://maps.grida.no/go/graphic/glaciers-monitored-through-the-world-glacier-monitoring-service</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Worldwide collection of information about ongoing glacier changes was initiated in 1894 with the foundation of the International Glacier Commission at the 6th International Geological Congress in Zurich, Switzerland. Today, the World Glacier Monitoring Service continues to collect and publish standardized information on ongoing glacier changes. WGMS is a service of the Commission for the Cryospheric Sciences of the International Union of Geodesy and Geophysics (CCS/IUGG) and maintains a network of local investigators and national correspondents in all the countries involved in glacier monitoring. In addition, the WGMS is in charge of the Global Terrestrial Network for Glaciers (GTN-G) within the Global Climate/Terrestrial Observing System. GTN-G aims at combining (a) in-situ observations with remotely sensed data, (b) process understanding with global coverage and (c) traditional measurements with new technologies by using an integrated and multi-level strategy. Recently, a scientific working group has been established to coordinate the monitoring and assessment of glacier and permafrost hazards in mountains. To keep track of the fast changes in nature and to assess corresponding impacts on landscape evolution, fresh water supply and natural hazards, monitoring strategies will have to make use of the rapidly developing new technologies (remote sensing and geo-informatics) and relate them to the more traditional methods. </description>
<pubDate>Mon, 04 Jun 2007 08:30:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/glaciers-monitored-through-the-world-glacier-monitoring-service_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>121</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Worldwide collection of information about ongoing glacier changes was initiated in 1894 with the foundation of the International Glacier Commission at the 6th International Geological Congress in Zurich, Switzerland. Today, the World Glacier Monitoring Service continues to collect and publish standardized information on ongoing glacier changes. WGMS is a service of the Commission for the Cryospheric Sciences of the International Union of Geodesy and Geophysics (CCS/IUGG) and maintains a network of local investigators and national correspondents in all the countries involved in glacier monitoring. In addition, the WGMS is in charge of the Global Terrestrial Network for Glaciers (GTN-G) within the Global Climate/Terrestrial Observing System. GTN-G aims at combining (a) in-situ observations with remotely sensed data, (b) process understanding with global coverage and (c) traditional measurements with new technologies by using an integrated and multi-level strategy. Recently, a scientific working group has been established to coordinate the monitoring and assessment of glacier and permafrost hazards in mountains. To keep track of the fast changes in nature and to assess corresponding impacts on landscape evolution, fresh water supply and natural hazards, monitoring strategies will have to make use of the rapidly developing new technologies (remote sensing and geo-informatics) and relate them to the more traditional methods. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/glaciers-monitored-through-the-world-glacier-monitoring-service.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/758FBDB4-8A57-9660-71E8-E69918765784</guid>
<g:label>global</g:label>
<g:label>cryosphere</g:label>
<g:label>ice</g:label>
<g:label>snow</g:label>
<g:label>glacier</g:label>
<g:label>climate change</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Locations of glacier observations provided by the World Glacier Monitoring Service, Zurich, Switzerland</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global and regional targets and monitoring programs</title>
<link>http://maps.grida.no/go/graphic/global-and-regional-targets-and-monitoring-programs</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 16:03:29 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-and-regional-targets-and-monitoring-programs_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>209</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-and-regional-targets-and-monitoring-programs_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C23C6C46-1011-16E4-D1E9-729608E84B93</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>GEO-4 Chapters 2-5</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global and selected annex 1 countries emissions of greenhouse gases (CO2, CH4, N2O) in projections</title>
<link>http://maps.grida.no/go/graphic/global_and_selected_annex_1_countries_emissions_of_greenhouse_gases_co2_ch4_n2o_in_projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_and_selected_annex_1_countries_emissions_of_greenhouse_gases_co2_ch4_n2o_in_projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>173</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global_and_selected_annex_1_countries_emissions_of_greenhouse_gases_co2_ch4_n2o_in_projections.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Atmosphere and Climate change</g:label>
<g:label>emissions</g:label>
<g:label>co2</g:label>
<g:label>methane</g:label>
<g:label>greenhouse gases</g:label>
<g:label>pollution</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global atmospheric and underground nuclear explosions since 1945</title>
<link>http://maps.grida.no/go/graphic/global_atmospheric_and_underground_nuclear_explosions_since_1945</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Nuclear explosions - especially the atmospheric tests in the Arctic and from US, UK and Chinese tests at other sites in the world - are the primary source of radioactive contamination in the Arctic. Releases from nuclear fuel reprocessing plants in Europe are the second largest source of Arctic radioactivity, while the Chernobyl reactor accicent is the third.</description>
<pubDate>Wed, 22 Mar 2006 09:59:04 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_atmospheric_and_underground_nuclear_explosions_since_1945_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>153</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Nuclear explosions - especially the atmospheric tests in the Arctic and from US, UK and Chinese tests at other sites in the world - are the primary source of radioactive contamination in the Arctic. Releases from nuclear fuel reprocessing plants in Europe are the second largest source of Arctic radioactivity, while the Chernobyl reactor accicent is the third.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global_atmospheric_and_underground_nuclear_explosions_since__946.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C64D4867-10EA-E753-66F2-109256D55577</guid>
<g:label>geoarctic</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geoarctic</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Assemblée nationale française, Christian Bataille, Henri Revol,Incidences environnementales et sanitaires des essais nucleaires effectues par la france entre 1960 et 1996 et elements de comparaison avec les essais des autres puissances nucleaires, rapport no. 3571, 2002; </dc:source>
<geo:lat>72.5</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>55 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global atmospheric concentration of CO2</title>
<link>http://maps.grida.no/go/graphic/global-atmospheric-concentration-of-co2</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Atmospheric CO2 has increased from a pre-industrial concentration of about 280 ppmv to about 367 ppmv at present (ppmv= parts per million by volume). CO2 concentration data from before 1958 are from ice core measurements taken in Antarctica and from 1958 onwards are from the Mauna Loa measurement site. The smooth curve is based on a hundred year running mean. It is evident that the rapid increase in CO2 concentrations has been occurring since the onset of industrialization. The increase has closely followed the increase in CO2 emissions from fossil fuels.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-atmospheric-concentration-of-co2_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>152</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Atmospheric CO2 has increased from a pre-industrial concentration of about 280 ppmv to about 367 ppmv at present (ppmv= parts per million by volume). CO2 concentration data from before 1958 are from ice core measurements taken in Antarctica and from 1958 onwards are from the Mauna Loa measurement site. The smooth curve is based on a hundred year running mean. It is evident that the rapid increase in CO2 concentrations has been occurring since the onset of industrialization. The increase has closely followed the increase in CO2 emissions from fossil fuels.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-atmospheric-concentration-of-co2.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Climate</g:label>
<g:label>emissions</g:label>
<g:label>carbon dioxide</g:label>
<g:label>co2</g:label>
<g:label>pollution</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>TP Whorf Scripps, Mauna Loa Observatory, Hawaii, Institution of Oceanography (SIO), University of California La Jolla, California, United States, 1999</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global atmospheric concentration of CO2 1870-1990</title>
<link>http://maps.grida.no/go/graphic/global_atmospheric_concentration_of_co2_1870_1990</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Historically the developed countries of the world have emitted most of the anthropogenic greenhouse gases. The U.S. emits most in total, and is one of the countries with highest emissions per capita. China is the second largest emitter, but has very low emissions per capita. Over the last 20 years, industrial development has led to a rapid rise in the volume of emissions from Asia, but on a per capita basis, emissions in this region are still at the bottom of the global scale. This graph shows the global atmospheric concentration of CO2 from 1870 to 1990.</description>
<pubDate>Sun, 12 Feb 2006 23:14:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivetv05_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>157</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Historically the developed countries of the world have emitted most of the anthropogenic greenhouse gases. The U.S. emits most in total, and is one of the countries with highest emissions per capita. China is the second largest emitter, but has very low emissions per capita. Over the last 20 years, industrial development has led to a rapid rise in the volume of emissions from Asia, but on a per capita basis, emissions in this region are still at the bottom of the global scale. This graph shows the global atmospheric concentration of CO2 from 1870 to 1990.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivetv05_l.gif</g:image_link>
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<g:label>global</g:label>
<g:label>Atmosphere</g:label>
<g:label>Climate change</g:label>
<g:label>CO2</g:label>
<g:label>carbon dioxide</g:label>
<g:label>global warming</g:label>
<g:label>pollution</g:label>
<g:label>greenhouse gases</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>unknown</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global average temperature 1880 - 2100</title>
<link>http://maps.grida.no/go/graphic/global_average_temperature_1880_2100</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graph shows the average global temperature from 1880 to 2100. It shows that the average global temperature has slowly increased since 1880 and is estimated to increase noticably over the course of the next hundred years. </description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_average_temperature_1880_2100_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graph shows the average global temperature from 1880 to 2100. It shows that the average global temperature has slowly increased since 1880 and is estimated to increase noticably over the course of the next hundred years. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global_average_temperature_1880_2100.gif</g:image_link>
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<g:label>global</g:label>
<g:label>Atmosphere</g:label>
<g:label>Climate change</g:label>
<g:label>global warming</g:label>
<g:label>temperature</g:label>
<g:label>environmental development</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global Biofuel Production</title>
<link>http://maps.grida.no/go/graphic/global-biofuel-production</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>Demand for land for production
of biomass for energy is putting increasing
pressure on forests. Energy security
concerns, high oil prices and climate
mitigation policies aimed at replacing
fossil fuels with renewable energy, have
all led to a greater interest in biofuels.
The transport sector is using increasing
quantities of ethanol, mainly produced
from sugar cane, corn and cassava, as
a substitute for petrol (gasoline), and
biodiesel, produced from plantation
crops such as oil palm, coconuts and
avocados. Fuel ethanol production
tripled between 2000 and 2007, mainly
in the United States and Brazil, while
biodiesel output expanded even more
rapidly over the same period, from less
than 1 billion to almost 11 billion litres
per year (IEA 2004). The liquid biofuel
market has been stimulated by growing
demand in particular in China and
Brazil, and by recent and anticipated
legislation in the US and Europe that
sets ambitious goals for this sector.</description>
<pubDate>Thu, 08 Oct 2009 16:05:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-biofuel-production_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>270</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>Demand for land for production
of biomass for energy is putting increasing
pressure on forests. Energy security
concerns, high oil prices and climate
mitigation policies aimed at replacing
fossil fuels with renewable energy, have
all led to a greater interest in biofuels.
The transport sector is using increasing
quantities of ethanol, mainly produced
from sugar cane, corn and cassava, as
a substitute for petrol (gasoline), and
biodiesel, produced from plantation
crops such as oil palm, coconuts and
avocados. Fuel ethanol production
tripled between 2000 and 2007, mainly
in the United States and Brazil, while
biodiesel output expanded even more
rapidly over the same period, from less
than 1 billion to almost 11 billion litres
per year (IEA 2004). The liquid biofuel
market has been stimulated by growing
demand in particular in China and
Brazil, and by recent and anticipated
legislation in the US and Europe that
sets ambitious goals for this sector.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-biofuel-production_002.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>EarthTrends Database, REN21 2006; FO Licht’s World Ethanol &amp; Biofuels Report 2008. Map compiled and produced by Emmanuelle Bournay.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global capture fisheries and aquaculture production, 1950-1999</title>
<link>http://maps.grida.no/go/graphic/global_capture_fisheries_and_aquaculture_production_1950_1999</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The global fisheries catch has levelled off, reflecting a growing decline in most major fishing areas. This graphic shows the amount of global aquaculture production and of global capture fishery catches in millions of tonnes per year for 1950 to 1999. The graphic also shows the amounts of global aquaculture production in marine water, freshwater and brackish water, in millions of tonnes, for 1998.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_capture_fisheries_and_aquaculture_production_1950_1999_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>141</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The global fisheries catch has levelled off, reflecting a growing decline in most major fishing areas. This graphic shows the amount of global aquaculture production and of global capture fishery catches in millions of tonnes per year for 1950 to 1999. The graphic also shows the amounts of global aquaculture production in marine water, freshwater and brackish water, in millions of tonnes, for 1998.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global_capture_fisheries_and_aquaculture_production_1950_1999.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>capture fishery</g:label>
<g:label>fishery trend</g:label>
<g:label>fisheries</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>The State of World Fisheries and Aquaculture 2000, Food and Agriculture Organisation (FAO).</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global Carbon Storage in Soils</title>
<link>http://maps.grida.no/go/graphic/global-carbon-storage-in-soils</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Arctic terrestrial ecosystems will continue to take up carbon, but warming and changes in surface hydrology will cause a far greater release of carbon.</description>
<pubDate>Tue, 27 Oct 2009 19:31:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-carbon-storage-in-soils_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>117</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Arctic terrestrial ecosystems will continue to take up carbon, but warming and changes in surface hydrology will cause a far greater release of carbon.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-carbon-storage-in-soils_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Resources Institute 2000; after Bajtes 1996.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global CFC production</title>
<link>http://maps.grida.no/go/graphic/global_cfc_production</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Chlorofluorocarbons (CFCs), along with other chlorine- and bromine-containing compounds, have been implicated in the accelerated depletion of ozone in the Earth's stratosphere. CFCs were developed in the early 1930s and are used in a variety of industrial, commercial, and household applications. </description>
<pubDate>Sun, 23 Apr 2006 11:30:35 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_archivetv07_l.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>157</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Chlorofluorocarbons (CFCs), along with other chlorine- and bromine-containing compounds, have been implicated in the accelerated depletion of ozone in the Earth&apos;s stratosphere. CFCs were developed in the early 1930s and are used in a variety of industrial, commercial, and household applications. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/archivetv07_l.gif</g:image_link>
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<g:label>global</g:label>
<g:label>Pollution</g:label>
<g:label>climate change</g:label>
<g:label>cfc</g:label>
<g:label>grenn house gas</g:label>
<g:label>Chloroflourocarbons</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global costs of extreme weather events</title>
<link>http://maps.grida.no/go/graphic/global_costs_of_extreme_weather_events</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The loss data on great natural disasters in the last decades show a dramatic increase in catastrophe losses. A decade comparison since 1960 is shown in the table. The reasons for this development are manifold and encompass the increase in world population and the simultaneous concentration of people and values in large conurbations, the development of highly exposed regions and the high vulnerability of modern societies and technologies, and finally changes in the natural environment like global warming and the related regional effects. As the underlying factors for the observed loss trend remain unchanged, a further increase in losses from natural disasters is inevitable.</description>
<pubDate>Mon, 06 Feb 2006 19:15:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_costs_of_extreme_weather_events_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>173</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The loss data on great natural disasters in the last decades show a dramatic increase in catastrophe losses. A decade comparison since 1960 is shown in the table. The reasons for this development are manifold and encompass the increase in world population and the simultaneous concentration of people and values in large conurbations, the development of highly exposed regions and the high vulnerability of modern societies and technologies, and finally changes in the natural environment like global warming and the related regional effects. As the underlying factors for the observed loss trend remain unchanged, a further increase in losses from natural disasters is inevitable.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global_costs_of_extreme_weather_events_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/10934AB9-1220-9046-98B6-13B1216F9C25</guid>
<g:label>global</g:label>
<g:label>extreme weather</g:label>
<g:label>natural disaster</g:label>
<g:label>climate change</g:label>
<g:label>disaster</g:label>
<g:label>economy</g:label>
<g:label>insurance</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Munich Re, 2004</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global development and biodiversity</title>
<link>http://maps.grida.no/go/graphic/global-development-and-biodiversity</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Some of the world's least developed countries are located in hotspot areas of high importance for biodiversity. This map displays Human Development Index (UNDP) by country and hotspot regions overlaid on that.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-development-and-biodiversity_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>109</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Some of the world&apos;s least developed countries are located in hotspot areas of high importance for biodiversity. This map displays Human Development Index (UNDP) by country and hotspot regions overlaid on that.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-development-and-biodiversity.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/882B75A3-3A11-412B-8E4A-904D19FAEBE5</guid>
<g:label>global</g:label>
<g:label>poverty</g:label>
<g:label>poverty indicators</g:label>
<g:label>index</g:label>
<g:label>biodiversity</g:label>
<g:label>development</g:label>
<g:label>undp</g:label>
<g:label>human development index</g:label>
<g:label>conservation</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNDP, Conservation International</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global distribution of outer continental shelf</title>
<link>http://maps.grida.no/go/graphic/global-distribution-of-outer-continental-shelf</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data.</description>
<pubDate>Tue, 01 Dec 2009 14:41:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-distribution-of-outer-continental-shelf_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>138</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-distribution-of-outer-continental-shelf_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/97C3DCBA-15AF-138E-D866-BFE3636B3161</guid>
<g:label>global</g:label>
<g:label>unep</g:label>
<g:label>continental</g:label>
<g:label>shelf</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Division for Ocean Affairs and the Law of the Sea, Office of Legal Affairs, United Nations</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global emissions of carbon dioxide, 2006</title>
<link>http://maps.grida.no/go/graphic/global-emissions-of-carbon-dioxide-2006</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</mapsgrida:designer>
<description>The region of Latin America and the Caribbean is highly vulnerable to climate change despite the fact that it contributes relatively little to global greenhouse gas emissions. Thus, global carbon dioxide (CO2) emissions in 2006 (excluding those associated with land use changes) amounted to 38,754 million of metric tons of CO2 equivalent (MtCO2-e), with Mexico and Brazil being the main emitters in the region (WRI, 2010). The importance of Latin America and the Caribbean as a source of emissions can also be seen in per capita terms: the region as a whole emitted fewer tons of CO2 per inhabitant than the world average, notwithstanding the fact that some countries in the region exceeded that average.</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-emissions-of-carbon-dioxide-2006_thumbnail_008.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>233</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The region of Latin America and the Caribbean is highly vulnerable to climate change despite the fact that it contributes relatively little to global greenhouse gas emissions. Thus, global carbon dioxide (CO2) emissions in 2006 (excluding those associated with land use changes) amounted to 38,754 million of metric tons of CO2 equivalent (MtCO2-e), with Mexico and Brazil being the main emitters in the region (WRI, 2010). The importance of Latin America and the Caribbean as a source of emissions can also be seen in per capita terms: the region as a whole emitted fewer tons of CO2 per inhabitant than the world average, notwithstanding the fact that some countries in the region exceeded that average.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-emissions-of-carbon-dioxide-_016.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12E83520-1091-182B-C7B3-129A1563D8EF</guid>
<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank, online database, accessed in July 2010</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global environmental trends</title>
<link>http://maps.grida.no/go/graphic/global-environmental-trends</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Environmental degradation trends from all the continents are alarmingly increasing. This graphic presents the status by world regions, in four different categories, and for seven different types of environmental degradation issues.</description>
<pubDate>Sun, 12 Feb 2006 23:14:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-environmental-trends_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>135</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Environmental degradation trends from all the continents are alarmingly increasing. This graphic presents the status by world regions, in four different categories, and for seven different types of environmental degradation issues.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-environmental-trends_001.gif</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/89638317-ED49-4F12-8D3F-9853F600AFBF</guid>
<g:label>global</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP, 1997, EEA, 1998</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global fertilizer consumption</title>
<link>http://maps.grida.no/go/graphic/global_fertilizer_consumption</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>In recent years, there has been concern that the quantity of mineral fertilizers used in agriculture having adverse effects on the environment. Attention has been drawn to the fact that when nutrients are applied to crops they are not all taken up by the plants immediately. There is also concern that some farmers might be applying inappropriate quantities of fertilizer. The main fertilizers having adverse effects on the environment are nitrate, phosphate and organic matter such as animal manure. This illustration shows the global fertilizer consumption in metric tonnes from 1975 to 1996. </description>
<pubDate>Tue, 09 May 2006 10:10:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/batch1tn_agrfertilizer.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>162</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In recent years, there has been concern that the quantity of mineral fertilizers used in agriculture having adverse effects on the environment. Attention has been drawn to the fact that when nutrients are applied to crops they are not all taken up by the plants immediately. There is also concern that some farmers might be applying inappropriate quantities of fertilizer. The main fertilizers having adverse effects on the environment are nitrate, phosphate and organic matter such as animal manure. This illustration shows the global fertilizer consumption in metric tonnes from 1975 to 1996. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/batch1agrfertilizer.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/9B050BE7-06E4-479E-B22B-448288E0E0A6</guid>
<g:label>global</g:label>
<g:label>pollution</g:label>
<g:label>agriculture</g:label>
<g:label>environment</g:label>
<g:label>fertilizers</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAOSTAT, Rome 1997.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global fisheries stock</title>
<link>http://maps.grida.no/go/graphic/global_fisheries_stock</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic compares biomass to fish mortality to summarize the amount of exploitation on fish stocks globally. Fish is considered important to human diet, but roughly two-thirds of the world’s major stocks are now fished at or beyond their capacity. Another 6 % is completely depleted. </description>
<pubDate>Fri, 19 May 2006 09:59:11 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/batch1tn_agrfishstock.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>196</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic compares biomass to fish mortality to summarize the amount of exploitation on fish stocks globally. Fish is considered important to human diet, but roughly two-thirds of the world’s major stocks are now fished at or beyond their capacity. Another 6 % is completely depleted. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/batch1agrfishstock.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C55A7F43-88AD-4D5D-9400-31EBB415525D</guid>
<g:label>global</g:label>
<g:label>fisheries</g:label>
<g:label>fish</g:label>
<g:label>fisheries stocks</g:label>
<g:label></g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Botsford et al. 1997.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global ﬂyways of the six subspecies of Red Knot</title>
<link>http://maps.grida.no/go/graphic/global-yways-of-the-six-subspecies-of-red-knot</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Red Knot is a migratory shorebird that travels up to 20,000 km twice a year from its breeding grounds on
the high Arctic tundra to its southern non-breeding sites. Along with having one of the longest total migrations
of any bird, some populations also fly as much as 8,000–9,000 km between stopover sites in a single flight. As a shellfish-eating specialist avoiding pathogen-rich freshwater habitats, the Red Knot relies on the few large tidal flats with abundant food resources that the world has to offer. To undertake the physiologically demanding flight
from West Africa to northern Siberia, for example, Calidris c. canutus refuels during three weeks of fast feeding
in the national parks of the European Wadden Sea. After nearly doubling its weight, it burns off fat stores during
the 3 or more days of non-stop flying.</description>
<pubDate>Mon, 21 Nov 2011 09:26:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-yways-of-the-six-subspecies-of-red-knot_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>162</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Red Knot is a migratory shorebird that travels up to 20,000 km twice a year from its breeding grounds on
the high Arctic tundra to its southern non-breeding sites. Along with having one of the longest total migrations
of any bird, some populations also fly as much as 8,000–9,000 km between stopover sites in a single flight. As a shellfish-eating specialist avoiding pathogen-rich freshwater habitats, the Red Knot relies on the few large tidal flats with abundant food resources that the world has to offer. To undertake the physiologically demanding flight
from West Africa to northern Siberia, for example, Calidris c. canutus refuels during three weeks of fast feeding
in the national parks of the European Wadden Sea. After nearly doubling its weight, it burns off fat stores during
the 3 or more days of non-stop flying.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-yways-of-the-six-subspecies-of-red-knot_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/66833B2A-C951-BD67-254A-C07E74EDE377</guid>
<g:label>global</g:label>
<g:label>Migratory Species</g:label>
<g:label>Red Knot</g:label>
<g:label>Red Knot flyways</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>personal communication with Dr. Peter Prokosch,
GRID-Arendal; Piersma, T., Davidson, N., The Migration of
Knots, WSG Bulletin 64, 1992</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global Forest Plantations for Protective Purposes</title>
<link>http://maps.grida.no/go/graphic/global-forest-plantations-for-protective-purposes</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 22:25:13 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-forest-plantations-for-protective-purposes_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>150</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-forest-plantations-for-protective-purposes.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/107EC2E5-6EC3-8FA6-BC52-75B74A885643</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO 2006a</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global freshwater resources: quantity and distribution by region</title>
<link>http://maps.grida.no/go/graphic/global_freshwater_resources_quantity_and_distribution_by_region</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Glaciers and icecaps contain approximately 70% of the world's freshwater, but groundwater is by far the most abundant and readily available source of freshwater. This graphic illustrates the quantity (in cubic kilometres) and distribution of the world's freshwater resources in glaciers and permanent ice caps, in groundwater, and in wetlands, large lakes, reservoirs and rivers. Further information is given in the accompanying text.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_freshwater_resources_quantity_and_distribution_by_region_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>53</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Glaciers and icecaps contain approximately 70% of the world&apos;s freshwater, but groundwater is by far the most abundant and readily available source of freshwater. This graphic illustrates the quantity (in cubic kilometres) and distribution of the world&apos;s freshwater resources in glaciers and permanent ice caps, in groundwater, and in wetlands, large lakes, reservoirs and rivers. Further information is given in the accompanying text.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/02_freshwater_regions.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/4528A173-4949-4D0B-9E00-463B928C5B80</guid>
<g:label>global</g:label>
<g:label>freshwater</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Igor A. Shiklomanov, State Hydrological Institute (SHI, St. Petersburg) and UNESCO, 1999; WMO; ICSU; WGMS; USGS.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global freshwater withdrawal</title>
<link>http://maps.grida.no/go/graphic/global_freshwater_withdrawal</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>World map showing annual levels of renewable water resources for the year 2000 measured in cubic meters. The use of water varies greatly from country to country and from region to region. 'Withdrawal' refers to water taken from a water source for use. It does not refer to water 'consumed' in that use.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_freshwater_withdrawal_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>142</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>World map showing annual levels of renewable water resources for the year 2000 measured in cubic meters. The use of water varies greatly from country to country and from region to region. &apos;Withdrawal&apos; refers to water taken from a water source for use. It does not refer to water &apos;consumed&apos; in that use.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global_freshwater_withdrawal.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F0E6EEBE-BEA7-4B8C-911D-631BE3C36F6D</guid>
<g:label>global</g:label>
<g:label>water</g:label>
<g:label>renewable resources</g:label>
<g:label>environment</g:label>
<g:label>freshwater</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Resources 2000-2001, Table FW1, World Resources Institute, Washington D.C.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global freshwater withdrawal: agricultural, industrial and domestic Use</title>
<link>http://maps.grida.no/go/graphic/global_freshwater_withdrawal_agricultural_industrial_and_domestic_use</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This graphic makes it possible to compare water use by the agricultural, industrial and domestic sectors at the national level. The graphic indicates which sectors are the dominant and significant users of water in each country.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_freshwater_withdrawal_agricultural_industrial_and_domestic_use_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>184</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This graphic makes it possible to compare water use by the agricultural, industrial and domestic sectors at the national level. The graphic indicates which sectors are the dominant and significant users of water in each country.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global_freshwater_withdrawal_agricultural_industrial_and_domestic_use.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>freshwater withdrawal</g:label>
<g:label>water use</g:label>
<g:label>domestic water use</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Based on data from Table FW1 in 'World Resources 2000-2001, People and Ecosystems: the Fraying Web of Life', World Resources Institute (WRI), Washington DC, 2000.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global glacier mass – annual variability and cumulative values</title>
<link>http://maps.grida.no/go/graphic/global-glacier-mass-annual-variability-and-cumulative-values</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data.</description>
<pubDate>Mon, 05 Oct 2009 13:57:18 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-glacier-mass-annual-variability-and-cumulative-values_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>92</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-glacier-mass-annual-variability-and-cumulative-values_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Adapted from Dyurgerov and Meier 2005</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global hazardous waste generation by type as reported by the parties to the Basel Convention for the years 1993-2000</title>
<link>http://maps.grida.no/go/graphic/global-hazardous-waste-generation-by-type-as-reported-by-the-parties-to-the-basel-convention-for-the</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Hazardous wastes can often be recycled in an environmentally sound manner. Wastes that cannot be recycled
must be treated to reduce the toxicity and the ability of the constituents to move throughout the environment. Treatment residues must be safely stored to avoid spills and leaks. (US Environmental Protection Agency).</description>
<pubDate>Thu, 09 Feb 2006 22:15:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-hazardous-waste-generation-by-type-as-reported-by-the-parties-to-the-basel-convention-for-the_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>163</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Hazardous wastes can often be recycled in an environmentally sound manner. Wastes that cannot be recycled
must be treated to reduce the toxicity and the ability of the constituents to move throughout the environment. Treatment residues must be safely stored to avoid spills and leaks. (US Environmental Protection Agency).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-hazardous-waste-generation-by-type-as-reported-by-the-parties-to-the-basel-convention-for-the.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>manufacturing</g:label>
<g:label>consumption</g:label>
<g:label>hazardous waste</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Basel Convention</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global household expenditure</title>
<link>http://maps.grida.no/go/graphic/global_household_expenditure</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay</mapsgrida:designer>
<description>Several trends characterise modern consumer goods. Our appetite for them continues to grow, with product ranges growing too. Meanwhile the average lifespan of many products is shortening. 80% of what we make is thrown away within six months of production. Each product contains more components and they are usually more difficult to biodegrade than before. All of which complicates the way products are processed once they become waste.</description>
<pubDate>Tue, 19 Dec 2006 14:23:23 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_household_expenditure_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>233</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay</g:author>
<mapsgrida:descriptionnonhtml>Several trends characterise modern consumer goods. Our appetite for them continues to grow, with product ranges growing too. Meanwhile the average lifespan of many products is shortening. 80% of what we make is thrown away within six months of production. Each product contains more components and they are usually more difficult to biodegrade than before. All of which complicates the way products are processed once they become waste.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global_household_expenditure.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/5677286C-A0D3-1530-1A75-8FCD4AEDA609</guid>
<g:label>global</g:label>
<g:label>expenditures</g:label>
<g:label>income</g:label>
<g:label>economy</g:label>
<g:label>consumers</g:label>
<g:label>consumption</g:label>
<dc:contributor>Emmanuelle Bournay</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>World Bank online database, 2006</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global human development indicators</title>
<link>http://maps.grida.no/go/graphic/global-human-development-indicators</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, assisted by Lucie Dejouhanet, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Poverty is multidimensional. It varies in scale and context (political, social, cultural, ecological, historical, economic). The rural poor face different challenges from those in urban areas: they are concerned with natural resources (access, quality), whereas the urban poor care about access to energy, housing and sanitation, and about the quality and availability of water.</description>
<pubDate>Sat, 09 Feb 2008 23:03:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-human-development-indicators_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>194</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, assisted by Lucie Dejouhanet, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Poverty is multidimensional. It varies in scale and context (political, social, cultural, ecological, historical, economic). The rural poor face different challenges from those in urban areas: they are concerned with natural resources (access, quality), whereas the urban poor care about access to energy, housing and sanitation, and about the quality and availability of water.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-human-development-indicators_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>poverty</g:label>
<g:label>Human Development Index</g:label>
<g:label>HDI</g:label>
<g:label>education</g:label>
<g:label>life expectancy</g:label>
<dc:contributor>Philippe Rekacewicz, assisted by Lucie Dejouhanet, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Human Development Report 2002, United Nations Development Programme (UNDP), New York</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global International Water Assessment tools (GIWA)</title>
<link>http://maps.grida.no/go/graphic/global_international_water_assessment_tools_giwa</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows the process of GIWA's assessment methodology and list the five main concerns dealing with water resources, which are freshwater shortage, pollution, habitat and community modification, unsustainable exploitation of fisheries and other living resources and global change. </description>
<pubDate>Tue, 09 May 2006 09:49:17 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_international_water_assessment_tools_giwa_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>198</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows the process of GIWA&apos;s assessment methodology and list the five main concerns dealing with water resources, which are freshwater shortage, pollution, habitat and community modification, unsustainable exploitation of fisheries and other living resources and global change. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global_international_water_assessment_tools_giwa.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/1FA1D9A2-2CBE-4897-A49C-71BDA8F46D89</guid>
<g:label>global</g:label>
<g:label>GIWA</g:label>
<g:label>global change</g:label>
<g:label>fisheries</g:label>
<g:label>pollution</g:label>
<g:label>assessment tools</g:label>
<g:label>freshwater</g:label>
<g:label>water resources</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Global International Water Assessment, 2001</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global International Waters Assessment (GIWA) case studies</title>
<link>http://maps.grida.no/go/graphic/global_international_waters_assessment_giwa_case_studies</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Global International Waters Assessment (GIWA) is an example of a comprehensive strategic assessment designed to identify priorities for remedial and mitigatory actions in international waters. This graphic shows GIWA case studies for the Black Sea, the Amazon, the Great Barrier Reef and the Agulhas Current. Each case study includes an introduction and maps of the region and a discussion of the issues of concern for that region, such as freshwater shortages; pollution; the unsustainable exploitation of fisheries and other living resources; habitat and community modification and loss; global climate change and the socio-economic implications of these issues. The assessment was in operation from 2000 to 2005.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_international_waters_assessment_giwa_case_studies_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>199</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Global International Waters Assessment (GIWA) is an example of a comprehensive strategic assessment designed to identify priorities for remedial and mitigatory actions in international waters. This graphic shows GIWA case studies for the Black Sea, the Amazon, the Great Barrier Reef and the Agulhas Current. Each case study includes an introduction and maps of the region and a discussion of the issues of concern for that region, such as freshwater shortages; pollution; the unsustainable exploitation of fisheries and other living resources; habitat and community modification and loss; global climate change and the socio-economic implications of these issues. The assessment was in operation from 2000 to 2005.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/27_giwa_subregion.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/DAF8B517-DA12-45AF-9F61-B301BA070D12</guid>
<g:label>global</g:label>
<g:label>freshwater</g:label>
<g:label>international waters</g:label>
<g:label>water assessment</g:label>
<g:label>marine issues</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Global International Waters Assessment (GIWA)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global International Waters Assessment Tools</title>
<link>http://maps.grida.no/go/graphic/global_international_waters_assessment_tools</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>Global International Waters Assessment's (GIWA) assessment tools for monitoring the world's water resources, incorporating five major environmental concerns and application of the DPSIR framework (driving forces-pressure-state-impact-response), are now beginning to yield results of practical use for management decisions. This graphic explains the GIWA Assessment Methodology and GIWA's five main environmental concerns, which are: freshwater shortages; pollution; the unsustainable exploitation of fisheries and other living resources; habitat and community modification and global change.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_international_waters_assessment_tools_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>141</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>180</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Global International Waters Assessment&apos;s (GIWA) assessment tools for monitoring the world&apos;s water resources, incorporating five major environmental concerns and application of the DPSIR framework (driving forces-pressure-state-impact-response), are now beginning to yield results of practical use for management decisions. This graphic explains the GIWA Assessment Methodology and GIWA&apos;s five main environmental concerns, which are: freshwater shortages; pollution; the unsustainable exploitation of fisheries and other living resources; habitat and community modification and global change.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global_international_waters_assessment_tools.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D6A73281-D3FD-4D31-AE64-6574621249B2</guid>
<g:label>global</g:label>
<g:label>international waters</g:label>
<g:label>water assessment</g:label>
<g:label>assessment methodology</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Global International Waters Assessment (GIWA), 2001</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global legislation concerning and global burden of, infectious animal diseases</title>
<link>http://maps.grida.no/go/graphic/global-legislation-concerning-and-global-burden-of-infectious-animal-diseases</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Serious socioeconomic impacts can arise when diseases spread widely within human or animal populations (such as H5N1), or when they spill over from animal reservoirs to human hosts; farming intensification often increases these risks. Even small-scale animal disease outbreaks can have major economic impacts in pastoral communities.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-legislation-concerning-and-global-burden-of-infectious-animal-diseases_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>141</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Serious socioeconomic impacts can arise when diseases spread widely within human or animal populations (such as H5N1), or when they spill over from animal reservoirs to human hosts; farming intensification often increases these risks. Even small-scale animal disease outbreaks can have major economic impacts in pastoral communities.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-legislation-concerning-and-global-burden-of-infectious-animal-diseases_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>disease</g:label>
<g:label>epidemic</g:label>
<g:label>legislation</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Martin Wierup and Kris Ebi</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global Ocean Acidification</title>
<link>http://maps.grida.no/go/graphic/global-ocean-acidification</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>As carbon concentrations in the atmosphere increase, so do concentrations in the ocean, with resultant acidification as a natural chemical process.</description>
<pubDate>Wed, 14 Oct 2009 12:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-ocean-acidification_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>237</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>As carbon concentrations in the atmosphere increase, so do concentrations in the ocean, with resultant acidification as a natural chemical process.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-ocean-acidification_004.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/162F1407-143B-11BE-219F-A52D211EF02F</guid>
<g:label>global</g:label>
<g:label>Blue</g:label>
<g:label>Carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IPCC, 2007.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global poverty-biodiversity map</title>
<link>http://maps.grida.no/go/graphic/global-poverty-biodiversity-map</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This map may be used to show areas in which biodiversity is threatened. Areas where high poverty and high population density coincides with high biodiversity may indicate areas in which poor people likely have no other choice than to unsustainably extract resources, in turn threatening biodiversity. The map has been produced from three primary data sources – stunted growth data collected on first level administrative units from FAO (FAO 2004), population density from LandScan (LandScan, 2002), and areas of high biological significance (major tropical wilderness and biodiversity hotspots) from Conservation International (Christ et al., 2003).</description>
<pubDate>Thu, 02 Nov 2006 16:51:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-poverty-biodiversity-map_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>133</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This map may be used to show areas in which biodiversity is threatened. Areas where high poverty and high population density coincides with high biodiversity may indicate areas in which poor people likely have no other choice than to unsustainably extract resources, in turn threatening biodiversity. The map has been produced from three primary data sources – stunted growth data collected on first level administrative units from FAO (FAO 2004), population density from LandScan (LandScan, 2002), and areas of high biological significance (major tropical wilderness and biodiversity hotspots) from Conservation International (Christ et al., 2003).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-poverty-biodiversity-map.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/83AD51FA-22A3-4EC4-A8A5-DDB9869E9C38</guid>
<g:label>global</g:label>
<g:label>poverty</g:label>
<g:label>poverty indicators</g:label>
<g:label>conservation</g:label>
<g:label>biodiversity</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Landscan, FAO, Conservation International</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global production, prices, and undernourishment</title>
<link>http://maps.grida.no/go/graphic/global-production-prices-and-undernourishment</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Food production more than doubled (an increase of over 160%) from 1961 to 2003. Over this period, production of cereals—the major energy component of human diets—has increased almost two and a half times, beef and sheep production increased by 40%, pork production by nearly 60%, and poultry production doubled.</description>
<pubDate>Sun, 03 Feb 2008 19:48:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-production-prices-and-undernourishment_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>218</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Food production more than doubled (an increase of over 160%) from 1961 to 2003. Over this period, production of cereals—the major energy component of human diets—has increased almost two and a half times, beef and sheep production increased by 40%, pork production by nearly 60%, and poultry production doubled.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-production-prices-and-undernourishment_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D4914901-A8E8-8207-15AE-84095909C39C</guid>
<g:label>global</g:label>
<g:label>malnourishment</g:label>
<g:label>food production</g:label>
<g:label>poverty</g:label>
<g:label>economy</g:label>
<g:label>food</g:label>
<dc:contributor>Philippe Rekacewicz, Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAOSTATS, SOFI, Millennium Ecosystem Assessment</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global Protected Forests</title>
<link>http://maps.grida.no/go/graphic/global-protected-forests</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 22:21:51 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-protected-forests_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-protected-forests.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12D19BC6-15A2-D2C1-652E-E76815B3AF41</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO 2001b</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global sea-level rise</title>
<link>http://maps.grida.no/go/graphic/global-sea-level-rise1</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>According to the 2007 IPCC report, global average sea
level rise will vary from 18 cm to 59 cm by 2100. The
IPCC models did not account for the accelerated melting
of ice sheets in Greenland and Antarctica. Some of the
latest research, however, estimates a global sea level rise
of between 0.6 and 1.2 metres by 2100. </description>
<pubDate>Wed, 03 Feb 2010 11:41:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-sea-level-rise_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>198</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>According to the 2007 IPCC report, global average sea
level rise will vary from 18 cm to 59 cm by 2100. The
IPCC models did not account for the accelerated melting
of ice sheets in Greenland and Antarctica. Some of the
latest research, however, estimates a global sea level rise
of between 0.6 and 1.2 metres by 2100. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-sea-level-rise_005.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/ECAD0F3B-DD5C-773C-60DA-E61242D1A6CB</guid>
<g:label>global</g:label>
<g:label>Many</g:label>
<g:label>Strong</g:label>
<g:label>Voices</g:label>
<g:label>climate</g:label>
<g:label>change</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Cazenave and Llovel, 2009.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global Sea-level Rise</title>
<link>http://maps.grida.no/go/graphic/global-sea-level-rise</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The loss of ice from the Greenland Ice Sheet has increased and will contribute substantially to global sea level rise.</description>
<pubDate>Tue, 27 Oct 2009 19:18:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-sea-level-rise_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>195</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The loss of ice from the Greenland Ice Sheet has increased and will contribute substantially to global sea level rise.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-sea-level-rise_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D2087858-9E3C-143D-B237-1555FDCC6AC3</guid>
<g:label>global</g:label>
<g:label>WWF</g:label>
<g:label>Arctic</g:label>
<g:label>Feedback</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Cazenave and Llovel, 2009.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global sediment loads</title>
<link>http://maps.grida.no/go/graphic/global_sediment_loads</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Asia exhibits the largest runoff volumes and, therefore, the highest levels of sediment discharge. This graphic shows the amounts of suspended sediments discharged, in millions of tonnes per year, in the major regions of the world. The levels of suspended sediments are increased by soil erosion and land degradation, and may affect aquatic ecosystems negatively.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global_sediment_loads_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>142</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Asia exhibits the largest runoff volumes and, therefore, the highest levels of sediment discharge. This graphic shows the amounts of suspended sediments discharged, in millions of tonnes per year, in the major regions of the world. The levels of suspended sediments are increased by soil erosion and land degradation, and may affect aquatic ecosystems negatively.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global_sediment_loads.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/A0139CBF-0877-4836-B69C-82A8273D92D1</guid>
<g:label>global</g:label>
<g:label>sediment load</g:label>
<g:label>sediment discharge</g:label>
<g:label>suspended sediment</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Peter H. Gleick, 'Water in Crisis', New York Oxford University Press, 1993.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global total equivalent carbon emissions from anthropogenic sources by sector</title>
<link>http://maps.grida.no/go/graphic/global-total-equivalent-carbon-emissions-from-anthropogenic-sources-by-sector</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Bounford.com and UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Mon, 05 Oct 2009 15:41:17 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-total-equivalent-carbon-emissions-from-anthropogenic-sources-by-sector_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>63</mapsgrida:thumbnailHeight>
<g:author>Bounford.com and UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-total-equivalent-carbon-emissions-from-anthropogenic-sources-by-sector_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/C2DFBFF5-941A-12AB-83C8-E885000B2259</guid>
<g:label>global</g:label>
<g:label>Fourth</g:label>
<g:label>Global</g:label>
<g:label>Environment</g:label>
<g:label>Outlook</g:label>
<g:label>development</g:label>
<g:label>GEO-4</g:label>
<g:label>assessment</g:label>
<dc:contributor>Bounford.com and UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>No data</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global Trade in Forest Products</title>
<link>http://maps.grida.no/go/graphic/global-trade-in-forest-products</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 15:39:51 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-trade-in-forest-products_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>142</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-trade-in-forest-products.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/D5DBAD71-1497-F3BF-CE1E-13D410AC5939</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO 2008a.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global trends in cereal and meat production; total use of nitrogen and phosphorus fertilizers; increased use of irrigation; total global pesticides production </title>
<link>http://maps.grida.no/go/graphic/global-trends-in-cereal-and-meat-production-total-use-of-nitrogen-and-phosphorus-fertilizers-increas</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Production gains are attributed to improved crop varieties and livestock, soil management, improved access to resources (nutrients and water), infrastructure developments, policy initiatives, microfinance, education, better communication and advances in market and trade systems. This has also increased the demand and use of irrigation, phosphorus and nitrogen.</description>
<pubDate>Tue, 15 Apr 2008 22:52:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-trends-in-cereal-and-meat-production-total-use-of-nitrogen-and-phosphorus-fertilizers-increas_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>166</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Production gains are attributed to improved crop varieties and livestock, soil management, improved access to resources (nutrients and water), infrastructure developments, policy initiatives, microfinance, education, better communication and advances in market and trade systems. This has also increased the demand and use of irrigation, phosphorus and nitrogen.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-trends-in-cereal-and-meat-production-total-use-of-nitrogen-and-phosphorus-fertilizers-increas_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/EF804AEB-D414-C2EA-9150-6BC06CFFDF08</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>food</g:label>
<g:label>phosphorus</g:label>
<g:label>nitrogen</g:label>
<g:label>irrigation</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Tilman et al., 2002</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global waterstress and scarcity</title>
<link>http://maps.grida.no/go/graphic/global-waterstress-and-scarcity</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz (Le Monde diplomatique), February 2006</mapsgrida:designer>
<description>Water scarcity occurs when the amount of water withdrawn from lakes, rivers or groundwater is so great that water supplies are no longer adequate to satisfy all human or ecosystem requirements, resulting in increased competition between water users and other demands.</description>
<pubDate>Mon, 26 Jan 2009 15:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-waterstress-and-scarcity_thumbnail_002.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>139</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz (Le Monde diplomatique), February 2006</g:author>
<mapsgrida:descriptionnonhtml>Water scarcity occurs when the amount of water withdrawn from lakes, rivers or groundwater is so great that water supplies are no longer adequate to satisfy all human or ecosystem requirements, resulting in increased competition between water users and other demands.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-waterstress-and-scarcity_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14BC9D62-A944-1067-3C3D-133F27D4AB08</guid>
<g:label>global</g:label>
<g:label>global</g:label>
<g:label>waterstress</g:label>
<g:label>scarcity</g:label>
<g:label>water</g:label>
<g:label>lakes</g:label>
<g:label>rivers</g:label>
<g:label>groundwater</g:label>
<g:label>supplies</g:label>
<g:label>ecosystem</g:label>
<dc:contributor>Philippe Rekacewicz (Le Monde diplomatique), February 2006</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO, Nations unies, world Resource Institute (WRI)</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Global Wood Consumption</title>
<link>http://maps.grida.no/go/graphic/global-wood-consumption</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</mapsgrida:designer>
<description>No data</description>
<pubDate>Thu, 08 Oct 2009 15:43:57 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/global-wood-consumption_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>171</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/global-wood-consumption.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/816E4070-166B-D146-E6CB-AA900D20A0B1</guid>
<g:label>global</g:label>
<g:label>forest</g:label>
<g:label>forests</g:label>
<g:label>biomes</g:label>
<g:label>management</g:label>
<g:label>economic</g:label>
<dc:contributor>Philippe Rekacewicz assisted by Cecile Marin, Agnes Stienne, Guilio Frigieri, Riccardo Pravettoni, Laura Margueritte and Marion Lecoquierre.</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>FAO 2008a</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Gold production of the Ok Tedi mine</title>
<link>http://maps.grida.no/go/graphic/gold_production_of_the_ok_tedi_mine</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The Ok Tedi mine is located high in the rain forest covered Star Mountains of Papua New Guinea. Prior to 1981 the local Wopkaimin people lived a subsistence existence in one of the most isolated places on earth. That was before the 10 000 strong town of Tabubil suddenly appeared in the middle of their community. The Ok Tedi mine was built on the world’s largest gold and copper deposit (gold ore capping the main copper deposit).</description>
<pubDate>Tue, 07 Feb 2006 20:32:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/gold_production_of_the_ok_tedi_mine_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>215</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The Ok Tedi mine is located high in the rain forest covered Star Mountains of Papua New Guinea. Prior to 1981 the local Wopkaimin people lived a subsistence existence in one of the most isolated places on earth. That was before the 10 000 strong town of Tabubil suddenly appeared in the middle of their community. The Ok Tedi mine was built on the world’s largest gold and copper deposit (gold ore capping the main copper deposit).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/gold_production_of_the_ok_tedi_mine_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12A2B2CC-F223-70BE-E770-8DE64793BE16</guid>
<g:label>PG</g:label>
<g:label>Basel Convention</g:label>
<g:label>waste</g:label>
<g:label>pollution</g:label>
<g:label>mining</g:label>
<g:label>gold</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>PG</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>MMSD, 2002</dc:source>
<geo:lat>-6</geo:lat>
<geo:long>147.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-11 140</gml:lowerCorner>
<gml:upperCorner>-1 155</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Government revenues from diamond exports in Sierra Leone</title>
<link>http://maps.grida.no/go/graphic/government-revenues-from-diamond-exports-in-sierra-leone</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Hugo Ahlenius, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The government of Sierra Leone saw a total of USD 5.2 million (2004) in revenues from diamond related activities. This comes in the form of mining, dealer and export license fees and from export taxes. To feed some of the revenues back to poor communities, the Diamond Areas Community Development Fund (DACDF) has been set up, with an annual commitment of 25% of revenue from export taxes. The intention is that this money will be dedicated to community infrastructure, agricultural improvements and training, but the actual distribution of the funds have been problematic.</description>
<pubDate>Wed, 24 Sep 2008 15:01:13 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/government-revenues-from-diamond-exports-in-sierra-leone_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>266</mapsgrida:thumbnailHeight>
<g:author>Hugo Ahlenius, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The government of Sierra Leone saw a total of USD 5.2 million (2004) in revenues from diamond related activities. This comes in the form of mining, dealer and export license fees and from export taxes. To feed some of the revenues back to poor communities, the Diamond Areas Community Development Fund (DACDF) has been set up, with an annual commitment of 25% of revenue from export taxes. The intention is that this money will be dedicated to community infrastructure, agricultural improvements and training, but the actual distribution of the funds have been problematic.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/government-revenues-from-diamond-exports-in-sierra-leone_003.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/12DC23BF-CB12-5F71-3DA0-ADDC5C984F11</guid>
<g:label>SL</g:label>
<g:label>mining</g:label>
<g:label>diamonds</g:label>
<g:label>revenues</g:label>
<g:label>sme</g:label>
<dc:contributor>Hugo Ahlenius, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>SL</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Diamonds and Human Security Project. 2006. Diamond Industry Annual Review – Sierra Leone 2006. http://www.pacweb.org (Accessed October 1, 2006)</dc:source>
<geo:lat>7.5</geo:lat>
<geo:long>-11.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>6 -13</gml:lowerCorner>
<gml:upperCorner>9 -10</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Grain production in Rwanda</title>
<link>http://maps.grida.no/go/graphic/grain_production_in_rwanda</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>The graphic shows the grain production in Rwanda in metric tonnes from 1960 to 1995. the graphic shows the dramatic reduction in grain production in the 1990s to one third of peak levels. The main grain crops produced are corn and sorghum.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/batch1tn_afrrwagrain.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>158</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The graphic shows the grain production in Rwanda in metric tonnes from 1960 to 1995. the graphic shows the dramatic reduction in grain production in the 1990s to one third of peak levels. The main grain crops produced are corn and sorghum.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/batch1afrrwagrain.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/8A96A06A-9E4C-41FD-A9D9-3B0F1DA6F9C9</guid>
<g:label>RW</g:label>
<g:label>rwanda</g:label>
<g:label>grain production</g:label>
<g:label>economy</g:label>
<g:label>agriculture</g:label>
<g:label>poverty</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>RW</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Worldwatch Institute, Washington DC, United States.</dc:source>
<geo:lat>-1.5</geo:lat>
<geo:long>29</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-2 28</gml:lowerCorner>
<gml:upperCorner>-1 30</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Grain production in selected countries</title>
<link>http://maps.grida.no/go/graphic/grain_production_in_selected_countries</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Trends in grain production 1950-1996 for Africa, China, Europe And United states, in millions of tonnes. Grains represent a basic food resource, and is a good indication on the relative production and food supply in the regions.</description>
<pubDate>Tue, 14 Mar 2006 18:20:02 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/grain_production_in_selected_countries_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>216</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Trends in grain production 1950-1996 for Africa, China, Europe And United states, in millions of tonnes. Grains represent a basic food resource, and is a good indication on the relative production and food supply in the regions.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/grain_production_in_selected_countries_001.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/DAEEA4CF-760F-E660-B7E0-12F13A058C5D</guid>
<g:label>global</g:label>
<g:label>food security</g:label>
<g:label>grain</g:label>
<g:label>wheat</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Grain production in the world, 1950-1995 and projection for 2050</title>
<link>http://maps.grida.no/go/graphic/grain_production_in_the_world_1950_1995_and_projection_for_2050</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Shows the grain production in the world from 1950 to 1995 and predicts trendsuntil 2050. Inconsistency in production over the last several years has resulted in declining inventories as annual consumption has exceeded annual production. Current forecasts make 2003-04 the fifth consecutive year that annual world consumption of coarse grains will exceed production. </description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/batch1tn_food-grain.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>132</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Shows the grain production in the world from 1950 to 1995 and predicts trendsuntil 2050. Inconsistency in production over the last several years has resulted in declining inventories as annual consumption has exceeded annual production. Current forecasts make 2003-04 the fifth consecutive year that annual world consumption of coarse grains will exceed production. </mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/batch1food-grain.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/41706B7B-4E9E-40DF-9168-ED7263444A7F</guid>
<g:label>global</g:label>
<g:label>grain</g:label>
<g:label>agriculture</g:label>
<g:label>economy</g:label>
<g:label>food</g:label>
<g:label>land</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Worldwatch Institute, Washington DC, United States.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Grain production, comparison in time between continents</title>
<link>http://maps.grida.no/go/graphic/grain_production_comparison_in_time_between_continents</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Illustrates the growth in grain production, by continent, with the average annual production in the sixties in comparison to the average annual production in the early ninties. The production has increased in all parts of the world.</description>
<pubDate>Tue, 14 Mar 2006 18:17:38 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/tn_grain_production_comparison_in_time_between_continents.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>390</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Illustrates the growth in grain production, by continent, with the average annual production in the sixties in comparison to the average annual production in the early ninties. The production has increased in all parts of the world.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/grain_production_comparison_in_time_between_continents.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/14E56380-E2E5-12F0-C995-BE25792FB263</guid>
<g:label>global</g:label>
<g:label>grain</g:label>
<g:label>food production</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Unknown</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Great weather and flood catastrophes over the last forty years</title>
<link>http://maps.grida.no/go/graphic/great-weather-and-flood-catastrophes-over-the-last-forty-years</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Some reports suggest that increase in climate variability or extremes has taken place in recent decades. However, there are inadequate data to determine whether such global changes have occurred consistently over the 20th century.
On regional scales there is clear evidence of changes in some extremes and climate variability indicators - for example, fewer frosts in several widespread areas; and an increase in the proportion of rainfall from extreme events over the contiguous states of the USA.
It can also be seen that the economic damages from weather related disasters have increased dramatically, although much of this may be attributed to a greater number of people living in vulnerable areas..</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/great-weather-and-flood-catastrophes-over-the-last-forty-years_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>131</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Some reports suggest that increase in climate variability or extremes has taken place in recent decades. However, there are inadequate data to determine whether such global changes have occurred consistently over the 20th century.
On regional scales there is clear evidence of changes in some extremes and climate variability indicators - for example, fewer frosts in several widespread areas; and an increase in the proportion of rainfall from extreme events over the contiguous states of the USA.
It can also be seen that the economic damages from weather related disasters have increased dramatically, although much of this may be attributed to a greater number of people living in vulnerable areas..</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/great-weather-and-flood-catastrophes-over-the-last-forty-years.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/86F3BA1B-F7AF-430E-AF13-D0CC0067A1AE</guid>
<g:label>global</g:label>
<g:label>Climate</g:label>
<g:label>disasters</g:label>
<g:label>climate change</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Munich Re Group, 1999</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Greece emissions of greenhouse gases (CO2, CH4, N2O) 1990 and 2010 projections</title>
<link>http://maps.grida.no/go/graphic/greece_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</description>
<pubDate>Thu, 16 Aug 2007 11:35:47 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/greece_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>196</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Emissions from human activities, and primarily fossil fuels, contribute to climate change, global warming and the greenhouse effect. This is primarily from industry, energy, transportation and related sectors. Please note that this collection of graphics has since been updated, please see http://www.grida.no or http://unfccc.int/ for the latest information and graphics</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/greece_emissions_of_greenhouse_gases_co2_ch4_n2o_1990_and_2010_projections.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/7258C271-FD93-497A-BFA5-D04A9C45A1A7</guid>
<g:label>GR</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>pollution</g:label>
<g:label>co2</g:label>
<g:label>greenhouse gases</g:label>
<g:label>methane</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>GR</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, FCCC/CP/1998/11/Add.2, please see http://www.grida.no/db/maps/collection/climate5/about.htm for more information</dc:source>
<geo:lat>37.5</geo:lat>
<geo:long>23.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>34 19</gml:lowerCorner>
<gml:upperCorner>41 28</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Greece, greenhouse gas emissions (COP7)</title>
<link>http://maps.grida.no/go/graphic/greece_greenhouse_gas_emissions_cop7</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Brian Lucas, UNEP/GRID-Arendal</mapsgrida:designer>
<description>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001. This graphic shows total greenhouse gas emissions from Greece. Please note that this graphic is outdated, and has since been replaced with more updated information.</description>
<pubDate>Sun, 12 Mar 2006 10:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/cop6_total_greenhouse_gas_emissions_greece_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>146</mapsgrida:thumbnailHeight>
<g:author>Brian Lucas, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>This set of graphics has been produced by GRID-Arendal in co-operation with the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) for the 7th Conference of the Parties (COP-7) to the Convention, held in Marrakesh, Morocco 29th October to 9th November 2001. This graphic shows total greenhouse gas emissions from Greece. Please note that this graphic is outdated, and has since been replaced with more updated information.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/cop6_total_greenhouse_gas_emissions_greece.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/FF237627-CBD8-46EF-B294-F45E853AB224</guid>
<g:label>GR</g:label>
<g:label>cop7</g:label>
<g:label>Greece</g:label>
<g:label>climate change</g:label>
<g:label>emissions</g:label>
<g:label>global warming</g:label>
<g:label>annex 1</g:label>
<g:label>environment</g:label>
<g:label>greenhouse gases</g:label>
<g:label></g:label>
<dc:contributor>Brian Lucas, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>GR</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC/SB1/2000/11 table B.1</dc:source>
<geo:lat>37.5</geo:lat>
<geo:long>23.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>34 19</gml:lowerCorner>
<gml:upperCorner>41 28</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Green Carbon</title>
<link>http://maps.grida.no/go/graphic/green-carbon</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>45% of green carbon stored in natural terrestrial ecosystems and the remaining 55% is captured by living organisms in oceans and ocean's blue carbon sinks.</description>
<pubDate>Wed, 14 Oct 2009 12:06:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/green-carbon_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>144</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>45% of green carbon stored in natural terrestrial ecosystems and the remaining 55% is captured by living organisms in oceans and ocean&apos;s blue carbon sinks.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/green-carbon_003.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Blue</g:label>
<g:label>Carbon</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP-WCMC, 2009.</dc:source>
<geo:lat>0</geo:lat>
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<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Green Jobs in the Future </title>
<link>http://maps.grida.no/go/graphic/green-jobs-in-the-future</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Riccardo Pravettoni, UNEP/GRID-Arendal</mapsgrida:designer>
<description>No data</description>
<pubDate>Tue, 06 Oct 2009 09:55:08 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/green-jobs-in-the-future_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>73</mapsgrida:thumbnailHeight>
<g:author>Riccardo Pravettoni, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>No data</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/green-jobs-in-the-future_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Environment</g:label>
<g:label>Poverty</g:label>
<g:label>Times</g:label>
<g:label>Green</g:label>
<g:label>Economy</g:label>
<dc:contributor>Riccardo Pravettoni, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNEP-ILO-IOD-ITUC, Green Jobs: Towards decent work in a sustainable, low carbon world, 2008</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
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<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Greenhouse effect</title>
<link>http://maps.grida.no/go/graphic/greenhouse-effect</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Philippe Rekacewicz, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Human activities are causing greenhouse gas levels in the atmosphere to increase. This graphic explains how solar energy is absorbed by the earth's surface, causing the earth to warm and to emit infrared radiation. The greenhouse gases then trap the infrared radiation, thus warming the atmosphere.</description>
<pubDate>Sun, 01 Jan 2006 00:00:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/greenhouse-effect_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>200</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>155</mapsgrida:thumbnailHeight>
<g:author>Philippe Rekacewicz, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Human activities are causing greenhouse gas levels in the atmosphere to increase. This graphic explains how solar energy is absorbed by the earth&apos;s surface, causing the earth to warm and to emit infrared radiation. The greenhouse gases then trap the infrared radiation, thus warming the atmosphere.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/greenhouse-effect.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/156EC22F-9DC2-4D6E-A355-A4E7D82C47C9</guid>
<g:label>global</g:label>
<g:label>climate change</g:label>
<g:label>global change</g:label>
<dc:contributor>Philippe Rekacewicz, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Okanagan University College, Canada, Department of Geography, University of Oxford, School of Geography, United States Environmental Protection Agency (EPA), Washington; Climate Change 1995, The Science of Climate Change, Contribution of Working Group I to the Second Assessment Report of the Intergovernmental Panel on Climate Change (IPCC), UNEP and WMO (World Meteorological Organization, Cambridge University Press, 1996.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Greenhouse gas emissions for three sectors</title>
<link>http://maps.grida.no/go/graphic/greenhouse-gas-emissions-for-three-sectors</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>UNEP/GRID-Arendal</mapsgrida:designer>
<description>The data comes from national reports to UNFCCC.
For developing countries (i. e. non-Annex I countries), data is either old or missing.
To better reflect the truth, we chose to overlap 2000 data from IEA (dashed circles).
Please note that the calculation methods are different.
Data is for 2004, except * (1994) and dashed circles (2000).
Only emissions above 40 million tonnes of CO2 equivalent are represented.</description>
<pubDate>Wed, 07 Jan 2009 13:21:26 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/greenhouse-gas-emissions-for-three-sectors_thumbnail_001.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>133</mapsgrida:thumbnailHeight>
<g:author>UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>The data comes from national reports to UNFCCC.
For developing countries (i. e. non-Annex I countries), data is either old or missing.
To better reflect the truth, we chose to overlap 2000 data from IEA (dashed circles).
Please note that the calculation methods are different.
Data is for 2004, except * (1994) and dashed circles (2000).
Only emissions above 40 million tonnes of CO2 equivalent are represented.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/greenhouse-gas-emissions-for-three-sectors_001.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>Climate Neutrality</g:label>
<g:label>Climate change</g:label>
<g:label>UN</g:label>
<g:label>Kick the habit</g:label>
<g:label>Climate change</g:label>
<g:label>myclimate</g:label>
<dc:contributor>UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>UNFCCC, 2007; International Energy Agency, 2004.</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Greenhouse gas (GHG) emissions by source, 2004</title>
<link>http://maps.grida.no/go/graphic/greenhouse-gas-ghg-emissions-by-source-2004</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Overall, agriculture (cropping and livestock) contributes 13.5 % of global greenhouse gas emissions mostly through emissions of methane and nitrous oxide (about 47% and 58% of total anthropogenic emissions of CH4 and N2O, respectively). The largest producer is power generation at 25.9% followed by industry with 19.4%.</description>
<pubDate>Tue, 15 Apr 2008 22:52:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/greenhouse-gas-ghg-emissions-by-source-2004_thumbnail_004.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>265</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Overall, agriculture (cropping and livestock) contributes 13.5 % of global greenhouse gas emissions mostly through emissions of methane and nitrous oxide (about 47% and 58% of total anthropogenic emissions of CH4 and N2O, respectively). The largest producer is power generation at 25.9% followed by industry with 19.4%.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/greenhouse-gas-ghg-emissions-by-source-_008.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/F7CCC204-FA03-9417-6C2B-12A5215B0C2B</guid>
<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>greenhouse gases</g:label>
<g:label>GHG</g:label>
<g:label>carbon dioxide</g:label>
<g:label>CO2</g:label>
<g:label>land use</g:label>
<g:label>industry</g:label>
<g:label>energy</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>IPCC, Working group 1, 2007</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Greenhouse gas emissions for three sectors: Transport, Industrial processes and Agriculture</title>
<link>http://maps.grida.no/go/graphic/greenhouse-gas-emissions-for-three-sectors-transport-industrial-processes-and-agriculture</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Emmanuelle Bournay, UNEP/GRID-Arendal</mapsgrida:designer>
<description>For developing countries (i.e. non-Annex I countries), data is either old or missing. To better reflect the truth, data from 2000 is chosen to overlap from IEA (dashed circles).
</description>
<pubDate>Fri, 13 Jun 2008 19:02:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/greenhouse-gas-emissions-for-three-sectors-transport-industrial-processes-and-agriculture_thumbnail.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>132</mapsgrida:thumbnailHeight>
<g:author>Emmanuelle Bournay, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>For developing countries (i.e. non-Annex I countries), data is either old or missing. To better reflect the truth, data from 2000 is chosen to overlap from IEA (dashed circles).
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/greenhouse-gas-emissions-for-three-sectors-transport-industrial-processes-and-agriculture.jpg</g:image_link>
<guid isPermaLink="true">http://maps.grida.no/go/graphic/graphicid/15CCF62D-6153-93CE-30C5-FBAD49253EAE</guid>
<g:label>global</g:label>
<dc:contributor>Emmanuelle Bournay, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Not specified</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Greenhouse gas emissions from agriculture and land use</title>
<link>http://maps.grida.no/go/graphic/greenhouse-gas-emissions-from-agriculture-and-land-use</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>IAASTD/Ketill Berger, UNEP/GRID-Arendal</mapsgrida:designer>
<description>Changes in land use have negatively affected the net ability of ecosystems to sequester carbon from the atmosphere. For instance, the carbon rich grasslands and forests in temperate zones have been replaced by crops with much lower capacity to sequester carbon.</description>
<pubDate>Tue, 15 Apr 2008 22:52:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/greenhouse-gas-emissions-from-agriculture-and-land-use_thumbnail_003.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>215</mapsgrida:thumbnailHeight>
<g:author>IAASTD/Ketill Berger, UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Changes in land use have negatively affected the net ability of ecosystems to sequester carbon from the atmosphere. For instance, the carbon rich grasslands and forests in temperate zones have been replaced by crops with much lower capacity to sequester carbon.</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/greenhouse-gas-emissions-from-agriculture-and-land-use_003.jpg</g:image_link>
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<g:label>global</g:label>
<g:label>agriculture</g:label>
<g:label>farming</g:label>
<g:label>land use</g:label>
<g:label>greenhouse gas</g:label>
<g:label>GHG</g:label>
<g:label>pollution</g:label>
<dc:contributor>IAASTD/Ketill Berger, UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>global</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>Baumert, 2005</dc:source>
<geo:lat>0</geo:lat>
<geo:long>0</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-90 -180</gml:lowerCorner>
<gml:upperCorner>90 180</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Greenhouse gas emissions per capita in Latin America and the Caribbean, 2005</title>
<link>http://maps.grida.no/go/graphic/greenhouse-gas-emissions-per-capita-in-latin-america-and-the-caribbean-2005</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</mapsgrida:designer>
<description>In 2005, per capita emissions in Latin America and the Caribbean, not taking emissions associated with land use changes into account, amounted to 5.5 MtCO2-e, with Trinidad and Tobago, Uruguay and the Bolivarian Republic of Venezuela having the highest levels
of per capita emissions. On the other end of the spectrum, Guatemala, El Salvador and Haiti had the lowest emission levels in the region.
</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/greenhouse-gas-emissions-per-capita-in-latin-america-and-the-caribbean-2005_thumbnail_007.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>96</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>300</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>In 2005, per capita emissions in Latin America and the Caribbean, not taking emissions associated with land use changes into account, amounted to 5.5 MtCO2-e, with Trinidad and Tobago, Uruguay and the Bolivarian Republic of Venezuela having the highest levels
of per capita emissions. On the other end of the spectrum, Guatemala, El Salvador and Haiti had the lowest emission levels in the region.
</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/greenhouse-gas-emissions-per-capita-in-latin-america-and-the-caribbean-_015.jpg</g:image_link>
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<g:label>geolameric</g:label>
<dc:contributor>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>
<dc:source>ECLAC on the basis of Climate Analysis Indicators Tool (CAIT)
Version 7.0. (Washington, DC: World Resources Institute, 2010).</dc:source>
<geo:lat>-12.5</geo:lat>
<geo:long>-77.5</geo:long>
<georss:where>
<gml:Envelope>
<gml:lowerCorner>-55 -122</gml:lowerCorner>
<gml:upperCorner>30 -33</gml:upperCorner>
</gml:Envelope>
</georss:where>
</item>
<item>
<title>Greenhouse gas emissions scenarios and surface temperature projections</title>
<link>http://maps.grida.no/go/graphic/greenhouse-gas-emissions-scenarios-and-surface-temperature-projections</link>
<author>UNEP/GRID-Arendal &lt;mapmaster@grida.no&gt;</author>
<mapsgrida:designer>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</mapsgrida:designer>
<description>Climate change manifests itself primarily through a gradual increase in the average temperatures of the earth’s surface, alterations in precipitation patterns, changes in the intensity and/or frequency of extreme climatic events, a slow but significant reduction in the cryosphere (including glaciers) and a rise in sea levels. Available scientific evidence associates the phenomenon of climate change with increased concentrations of anthropogenic greenhouse gases in the atmosphere resulting principally from greater use of fossil fuels, changes in land use, agricultural activities, and solid waste disposal methods. Based on available climate change science, six possible climate change scenarios for the future Latina American and Caribbean climate has been developed.
Scenario A1 assumes rapid demographic and economic growth, accompanied by the introduction of new and more efficient technologies; A1F1 is based on intensive use of fossil fuels; A1T presupposes that non-fossil-fuel energy will predominate; A1B assumes a balanced use of all types of energy sources; and A2 envisages lower economic growth, less globalization, and high and sustained demographic growth. Scenarios B1 and B2, for their part, include some mitigation of emissions through more efficient use of energy and improved technologies (B1), and more localized solutions (B2).</description>
<pubDate>Mon, 06 Dec 2010 12:23:00 --0200</pubDate>
<photo:thumbnail>http://maps.grida.no/library/files/greenhouse-gas-emissions-scenarios-and-surface-temperature-projections_thumbnail_012.jpg</photo:thumbnail>
<mapsgrida:thumbnailWidth>220</mapsgrida:thumbnailWidth>
<mapsgrida:thumbnailHeight>232</mapsgrida:thumbnailHeight>
<g:author>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</g:author>
<mapsgrida:descriptionnonhtml>Climate change manifests itself primarily through a gradual increase in the average temperatures of the earth’s surface, alterations in precipitation patterns, changes in the intensity and/or frequency of extreme climatic events, a slow but significant reduction in the cryosphere (including glaciers) and a rise in sea levels. Available scientific evidence associates the phenomenon of climate change with increased concentrations of anthropogenic greenhouse gases in the atmosphere resulting principally from greater use of fossil fuels, changes in land use, agricultural activities, and solid waste disposal methods. Based on available climate change science, six possible climate change scenarios for the future Latina American and Caribbean climate has been developed.
Scenario A1 assumes rapid demographic and economic growth, accompanied by the introduction of new and more efficient technologies; A1F1 is based on intensive use of fossil fuels; A1T presupposes that non-fossil-fuel energy will predominate; A1B assumes a balanced use of all types of energy sources; and A2 envisages lower economic growth, less globalization, and high and sustained demographic growth. Scenarios B1 and B2, for their part, include some mitigation of emissions through more efficient use of energy and improved technologies (B1), and more localized solutions (B2).</mapsgrida:descriptionnonhtml>
<g:image_link>http://maps.grida.no/go/graphic/greenhouse-gas-emissions-scenarios-and-surface-temperature-projections_015.jpg</g:image_link>
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<g:label>geolameric</g:label>
<g:label>greenhouse gas emissions</g:label>
<g:label>predictions</g:label>
<g:label>climate change</g:label>
<g:label>temerature</g:label>
<dc:contributor>Nieves López Izquierdo, Associate Consultant UNEP/GRID-Arendal</dc:contributor>
<dc:coverage>geolameric</dc:coverage>
<dc:publisher>UNEP/GRID-Arendal</dc:publisher>

