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Environmental and socioeconomic correlates of extinction risk in endemic species

Authors :
Robin Pouteau
Caroline Brunel
Bernd Lenzner
Petr Pyšek
Franz Essl
Mark van Kleunen
Carsten Meyer
Jan Pergl
Hanno Seebens
Wayne Dawson
Holger Kreft
Marten Winter
Patrick Weigelt
Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM)
Fonctionnement agroécologique et performances des systèmes de cultures horticoles (UPR HORTSYS)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST)
Durham University
University of Vienna [Vienna]
Georg-August-University = Georg-August-Universität Göttingen
Leipzig University
Institute of Botany of the Czech Academy of Sciences (IB / CAS)
Czech Academy of Sciences [Prague] (CAS)
German Centre for Integrative Biodiversity Research (iDiv)
Taizhou University
University of Konstanz
National Natural Science Foundation of China (grant no.31901176)
Taizhou University (2018YQ001)
BiodivERsA-Belmont Forum Project 'AlienScenarios' (I 4011-B32)
CM acknowledges support by the Volkswagen Foundation through a Freigeist Fellowship.
PP and JP were supported by EXPRO grant 19-28807X (Czech Science Foundation) and long-term research development project RVO 67985939 (Academy of Sciences of the Czech Republic).
HS acknowledges support by BiodivERsA/ BMBF project AlienScenarios (01LC1807A).
MvK acknowledges support by the German Research Foundation DFG (264740629).
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Duke University [Durham]
University of Göttingen - Georg-August-Universität Göttingen
Source :
Diversity and Distributions, Diversity and Distributions, 2022, 28 (1), pp.53-64. ⟨10.1111/ddi.13438⟩, Diversity and Distributions, 2022, Vol.28(1), pp.53-64 [Peer Reviewed Journal], Diversity and Distributions, Wiley, 2022, 28 (1), pp.53-64. ⟨10.1111/ddi.13438⟩
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

Aim:Our current understanding of the causes of global extinction risk is mostly informed by the expert knowledge-based “threats classification scheme” of the IUCN Red List of Threatened Species. Studies based on this dataset came to different conclusions about the relative importance of threats to species, depending on which taxonomic groups and levels of extinction risk were considered, and which version of the database was used. A key reason may lie in data limitations as causes of threat are well known for charismatic and well-studied species, but not for the majority of species assessed. Here, we aim to fill current knowledge gaps about the importance of drivers of global extinction risks by focusing on endemic species.Location:Global.Methods:We examined country-level variation in the proportion of globally threatened and extinct endemic species (Index of Threat, IoT) with a range of spatially explicit information about anthropogenic pressures, mitigation measures and data limitations.Results:IoT coincided with several anthropogenic pressures, with substantial differences among kingdoms, life-forms, levels of extinction risk and geographic locations. IoT of plants, particularly tropical woody plants of moderate extinction risk, was higher in countries with higher GDP and more invasive species. Furthermore, IoT of animals, particularly tropical mammals and invertebrates of moderate extinction risk, was higher in countries with higher GDP and smaller roadless areas.Main conclusions:The extinction crisis for endemic species is associated with a complex network of potential drivers that need to be considered in concert in conservation policy and practice. Although our results require careful interpretation and remain sensitive to data limitations, we encourage similar studies at smaller scales to identify potential drivers of extinction risk at a higher resolution, particularly in regions where species assessments have been conducted consistently or on organisms with a uniform response time to pressures. published

Details

ISSN :
14724642 and 13669516
Volume :
28
Database :
OpenAIRE
Journal :
Diversity and Distributions
Accession number :
edsair.doi.dedup.....0fdc0fce3f845cd5a38cfe0431ed1c32
Full Text :
https://doi.org/10.1111/ddi.13438