Cargando…

Geography of current and future global mammal extinction risk

Identifying which species are at greatest risk, what makes them vulnerable, and where they are distributed are central goals for conservation science. While knowledge of which factors influence extinction risk is increasingly available for some taxonomic groups, a deeper understanding of extinction...

Descripción completa

Detalles Bibliográficos
Autores principales: Davidson, Ana D., Shoemaker, Kevin T., Weinstein, Ben, Costa, Gabriel C., Brooks, Thomas M., Ceballos, Gerardo, Radeloff, Volker C., Rondinini, Carlo, Graham, Catherine H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690607/
https://www.ncbi.nlm.nih.gov/pubmed/29145486
http://dx.doi.org/10.1371/journal.pone.0186934
_version_ 1783279636130562048
author Davidson, Ana D.
Shoemaker, Kevin T.
Weinstein, Ben
Costa, Gabriel C.
Brooks, Thomas M.
Ceballos, Gerardo
Radeloff, Volker C.
Rondinini, Carlo
Graham, Catherine H.
author_facet Davidson, Ana D.
Shoemaker, Kevin T.
Weinstein, Ben
Costa, Gabriel C.
Brooks, Thomas M.
Ceballos, Gerardo
Radeloff, Volker C.
Rondinini, Carlo
Graham, Catherine H.
author_sort Davidson, Ana D.
collection PubMed
description Identifying which species are at greatest risk, what makes them vulnerable, and where they are distributed are central goals for conservation science. While knowledge of which factors influence extinction risk is increasingly available for some taxonomic groups, a deeper understanding of extinction correlates and the geography of risk remains lacking. Here, we develop a predictive random forest model using both geospatial and mammalian species’ trait data to uncover the statistical and geographic distributions of extinction correlates. We also explore how this geography of risk may change under a rapidly warming climate. We found distinctive macroecological relationships between species-level risk and extinction correlates, including the intrinsic biological traits of geographic range size, body size and taxonomy, and extrinsic geographic settings such as seasonality, habitat type, land use and human population density. Each extinction correlate exhibited ranges of values that were especially associated with risk, and the importance of different risk factors was not geographically uniform across the globe. We also found that about 10% of mammals not currently recognized as at-risk have biological traits and occur in environments that predispose them towards extinction. Southeast Asia had the most actually and potentially threatened species, underscoring the urgent need for conservation in this region. Additionally, nearly 40% of currently threatened species were predicted to experience rapid climate change at 0.5 km/year or more. Biological and environmental correlates of mammalian extinction risk exhibit distinct statistical and geographic distributions. These results provide insight into species-level patterns and processes underlying geographic variation in extinction risk. They also offer guidance for future conservation research focused on specific geographic regions, or evaluating the degree to which species-level patterns mirror spatial variation in the pressures faced by populations within the ranges of individual species. The added impacts from climate change may increase the susceptibility of at-risk species to extinction and expand the regions where mammals are most vulnerable globally.
format Online
Article
Text
id pubmed-5690607
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-56906072017-11-30 Geography of current and future global mammal extinction risk Davidson, Ana D. Shoemaker, Kevin T. Weinstein, Ben Costa, Gabriel C. Brooks, Thomas M. Ceballos, Gerardo Radeloff, Volker C. Rondinini, Carlo Graham, Catherine H. PLoS One Research Article Identifying which species are at greatest risk, what makes them vulnerable, and where they are distributed are central goals for conservation science. While knowledge of which factors influence extinction risk is increasingly available for some taxonomic groups, a deeper understanding of extinction correlates and the geography of risk remains lacking. Here, we develop a predictive random forest model using both geospatial and mammalian species’ trait data to uncover the statistical and geographic distributions of extinction correlates. We also explore how this geography of risk may change under a rapidly warming climate. We found distinctive macroecological relationships between species-level risk and extinction correlates, including the intrinsic biological traits of geographic range size, body size and taxonomy, and extrinsic geographic settings such as seasonality, habitat type, land use and human population density. Each extinction correlate exhibited ranges of values that were especially associated with risk, and the importance of different risk factors was not geographically uniform across the globe. We also found that about 10% of mammals not currently recognized as at-risk have biological traits and occur in environments that predispose them towards extinction. Southeast Asia had the most actually and potentially threatened species, underscoring the urgent need for conservation in this region. Additionally, nearly 40% of currently threatened species were predicted to experience rapid climate change at 0.5 km/year or more. Biological and environmental correlates of mammalian extinction risk exhibit distinct statistical and geographic distributions. These results provide insight into species-level patterns and processes underlying geographic variation in extinction risk. They also offer guidance for future conservation research focused on specific geographic regions, or evaluating the degree to which species-level patterns mirror spatial variation in the pressures faced by populations within the ranges of individual species. The added impacts from climate change may increase the susceptibility of at-risk species to extinction and expand the regions where mammals are most vulnerable globally. Public Library of Science 2017-11-16 /pmc/articles/PMC5690607/ /pubmed/29145486 http://dx.doi.org/10.1371/journal.pone.0186934 Text en © 2017 Davidson et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Davidson, Ana D.
Shoemaker, Kevin T.
Weinstein, Ben
Costa, Gabriel C.
Brooks, Thomas M.
Ceballos, Gerardo
Radeloff, Volker C.
Rondinini, Carlo
Graham, Catherine H.
Geography of current and future global mammal extinction risk
title Geography of current and future global mammal extinction risk
title_full Geography of current and future global mammal extinction risk
title_fullStr Geography of current and future global mammal extinction risk
title_full_unstemmed Geography of current and future global mammal extinction risk
title_short Geography of current and future global mammal extinction risk
title_sort geography of current and future global mammal extinction risk
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690607/
https://www.ncbi.nlm.nih.gov/pubmed/29145486
http://dx.doi.org/10.1371/journal.pone.0186934
work_keys_str_mv AT davidsonanad geographyofcurrentandfutureglobalmammalextinctionrisk
AT shoemakerkevint geographyofcurrentandfutureglobalmammalextinctionrisk
AT weinsteinben geographyofcurrentandfutureglobalmammalextinctionrisk
AT costagabrielc geographyofcurrentandfutureglobalmammalextinctionrisk
AT brooksthomasm geographyofcurrentandfutureglobalmammalextinctionrisk
AT ceballosgerardo geographyofcurrentandfutureglobalmammalextinctionrisk
AT radeloffvolkerc geographyofcurrentandfutureglobalmammalextinctionrisk
AT rondininicarlo geographyofcurrentandfutureglobalmammalextinctionrisk
AT grahamcatherineh geographyofcurrentandfutureglobalmammalextinctionrisk