Spatially Explicit Trends in the Global Conservation Status of Vertebrates
Identifieur interne : 003507 ( Main/Curation ); précédent : 003506; suivant : 003508Spatially Explicit Trends in the Global Conservation Status of Vertebrates
Auteurs : Ana S. L. Rodrigues [France] ; Thomas M. Brooks [Suisse, Philippines, Australie] ; Stuart H. M. Butchart [Royaume-Uni] ; Janice Chanson [Suisse] ; Neil Cox [Suisse, États-Unis] ; Michael Hoffmann [Suisse, Royaume-Uni] ; Simon N. Stuart [Suisse, États-Unis, Royaume-Uni, Émirats arabes unis]Source :
- PLoS ONE [ 1932-6203 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- methods : Conservation of Natural Resources.
- physiology : Vertebrates.
- statistics & numerical data : Conservation of Natural Resources, Endangered Species.
- Animals, Biodiversity, Extinction, Biological, Geography.
Abstract
The world's governments have committed to preventing the extinction of threatened species and improving their conservation status by 2020. However, biodiversity is not evenly distributed across space, and neither are the drivers of its decline, and so different regions face very different challenges. Here, we quantify the contribution of regions and countries towards recent global trends in vertebrate conservation status (as measured by the Red List Index), to guide action towards the 2020 target. We found that>50% of the global deterioration in the conservation status of birds, mammals and amphibians is concentrated in <1% of the surface area, 39/1098 ecoregions (4%) and eight/195 countries (4%) – Australia, China, Colombia, Ecuador, Indonesia, Malaysia, Mexico, and the United States. These countries hold a third of global diversity in these vertebrate groups, partially explaining why they concentrate most of the losses. Yet, other megadiverse countries – most notably Brazil (responsible for 10% of species but just 1% of deterioration), plus India and Madagascar – performed better in conserving their share of global vertebrate diversity. Very few countries, mostly island nations (e.g. Cook Islands, Fiji, Mauritius, Seychelles, and Tonga), have achieved net improvements. Per capita wealth does not explain these patterns, with two of the richest countries – United States and Australia – fairing conspicuously poorly. Different countries were affected by different combinations of threats. Reducing global rates of biodiversity loss will require investment in the regions and countries with the highest responsibility for the world's biodiversity, focusing on conserving those species and areas most in peril and on reducing the drivers with the highest impacts.
Url:
DOI: 10.1371/journal.pone.0113934
PubMed: 25426636
PubMed Central: 4245261
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PMC:4245261Le document en format XML
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<author><name sortKey="Stuart, Simon N" sort="Stuart, Simon N" uniqKey="Stuart S" first="Simon N." last="Stuart">Simon N. Stuart</name>
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<term>Biodiversity</term>
<term>Conservation of Natural Resources (methods)</term>
<term>Conservation of Natural Resources (statistics & numerical data)</term>
<term>Endangered Species (statistics & numerical data)</term>
<term>Extinction, Biological</term>
<term>Geography</term>
<term>Vertebrates (physiology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Animaux</term>
<term>Biodiversité</term>
<term>Conservation des ressources naturelles ()</term>
<term>Espèce en voie de disparition ()</term>
<term>Extinction biologique</term>
<term>Géographie</term>
<term>Vertébrés (physiologie)</term>
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<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Vertebrates</term>
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<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Conservation of Natural Resources</term>
<term>Endangered Species</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Animals</term>
<term>Biodiversity</term>
<term>Extinction, Biological</term>
<term>Geography</term>
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<term>Biodiversité</term>
<term>Conservation des ressources naturelles</term>
<term>Espèce en voie de disparition</term>
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<front><div type="abstract" xml:lang="en"><p>The world's governments have committed to preventing the extinction of threatened species and improving their conservation status by 2020. However, biodiversity is not evenly distributed across space, and neither are the drivers of its decline, and so different regions face very different challenges. Here, we quantify the contribution of regions and countries towards recent global trends in vertebrate conservation status (as measured by the Red List Index), to guide action towards the 2020 target. We found that>50% of the global deterioration in the conservation status of birds, mammals and amphibians is concentrated in <1% of the surface area, 39/1098 ecoregions (4%) and eight/195 countries (4%) – Australia, China, Colombia, Ecuador, Indonesia, Malaysia, Mexico, and the United States. These countries hold a third of global diversity in these vertebrate groups, partially explaining why they concentrate most of the losses. Yet, other megadiverse countries – most notably Brazil (responsible for 10% of species but just 1% of deterioration), plus India and Madagascar – performed better in conserving their share of global vertebrate diversity. Very few countries, mostly island nations (e.g. Cook Islands, Fiji, Mauritius, Seychelles, and Tonga), have achieved net improvements. Per capita wealth does not explain these patterns, with two of the richest countries – United States and Australia – fairing conspicuously poorly. Different countries were affected by different combinations of threats. Reducing global rates of biodiversity loss will require investment in the regions and countries with the highest responsibility for the world's biodiversity, focusing on conserving those species and areas most in peril and on reducing the drivers with the highest impacts.</p>
</div>
</front>
<back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Pimm, Sl" uniqKey="Pimm S">SL Pimm</name>
</author>
<author><name sortKey="Russell, Gj" uniqKey="Russell G">GJ Russell</name>
</author>
<author><name sortKey="Gittleman, Jl" uniqKey="Gittleman J">JL Gittleman</name>
</author>
<author><name sortKey="Brooks, Tm" uniqKey="Brooks T">TM Brooks</name>
</author>
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<biblStruct><analytic><author><name sortKey="Butchart, Shm" uniqKey="Butchart S">SHM Butchart</name>
</author>
<author><name sortKey="Walpole, M" uniqKey="Walpole M">M Walpole</name>
</author>
<author><name sortKey="Collen, B" uniqKey="Collen B">B Collen</name>
</author>
<author><name sortKey="Van Strien, A" uniqKey="Van Strien A">A van Strien</name>
</author>
<author><name sortKey="Scharlemann, Jpw" uniqKey="Scharlemann J">JPW Scharlemann</name>
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