Cargando…

An integrated framework to identify wildlife populations under threat from climate change

Climate change is a major threat to global biodiversity that will produce a range of new selection pressures. Understanding species responses to climate change requires an interdisciplinary perspective, combining ecological, molecular and environmental approaches. We propose an applied integrated fr...

Descripción completa

Detalles Bibliográficos
Autores principales: Razgour, Orly, Taggart, John B., Manel, Stephanie, Juste, Javier, Ibáñez, Carlos, Rebelo, Hugo, Alberdi, Antton, Jones, Gareth, Park, Kirsty
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849758/
https://www.ncbi.nlm.nih.gov/pubmed/28649779
http://dx.doi.org/10.1111/1755-0998.12694
_version_ 1783469270645080064
author Razgour, Orly
Taggart, John B.
Manel, Stephanie
Juste, Javier
Ibáñez, Carlos
Rebelo, Hugo
Alberdi, Antton
Jones, Gareth
Park, Kirsty
author_facet Razgour, Orly
Taggart, John B.
Manel, Stephanie
Juste, Javier
Ibáñez, Carlos
Rebelo, Hugo
Alberdi, Antton
Jones, Gareth
Park, Kirsty
author_sort Razgour, Orly
collection PubMed
description Climate change is a major threat to global biodiversity that will produce a range of new selection pressures. Understanding species responses to climate change requires an interdisciplinary perspective, combining ecological, molecular and environmental approaches. We propose an applied integrated framework to identify populations under threat from climate change based on their extent of exposure, inherent sensitivity due to adaptive and neutral genetic variation and range shift potential. We consider intraspecific vulnerability and population‐level responses, an important but often neglected conservation research priority. We demonstrate how this framework can be applied to vertebrates with limited dispersal abilities using empirical data for the bat Plecotus austriacus. We use ecological niche modelling and environmental dissimilarity analysis to locate areas at high risk of exposure to future changes. Combining outlier tests with genotype–environment association analysis, we identify potential climate‐adaptive SNPs in our genomic data set and differences in the frequency of adaptive and neutral variation between populations. We assess landscape connectivity and show that changing environmental suitability may limit the future movement of individuals, thus affecting both the ability of populations to shift their distribution to climatically suitable areas and the probability of evolutionary rescue through the spread of adaptive genetic variation among populations. Therefore, a better understanding of movement ecology and landscape connectivity is needed for predicting population persistence under climate change. Our study highlights the importance of incorporating genomic data to determine sensitivity, adaptive potential and range shift potential, instead of relying solely on exposure to guide species vulnerability assessments and conservation planning.
format Online
Article
Text
id pubmed-6849758
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-68497582019-11-15 An integrated framework to identify wildlife populations under threat from climate change Razgour, Orly Taggart, John B. Manel, Stephanie Juste, Javier Ibáñez, Carlos Rebelo, Hugo Alberdi, Antton Jones, Gareth Park, Kirsty Mol Ecol Resour From the Cover Climate change is a major threat to global biodiversity that will produce a range of new selection pressures. Understanding species responses to climate change requires an interdisciplinary perspective, combining ecological, molecular and environmental approaches. We propose an applied integrated framework to identify populations under threat from climate change based on their extent of exposure, inherent sensitivity due to adaptive and neutral genetic variation and range shift potential. We consider intraspecific vulnerability and population‐level responses, an important but often neglected conservation research priority. We demonstrate how this framework can be applied to vertebrates with limited dispersal abilities using empirical data for the bat Plecotus austriacus. We use ecological niche modelling and environmental dissimilarity analysis to locate areas at high risk of exposure to future changes. Combining outlier tests with genotype–environment association analysis, we identify potential climate‐adaptive SNPs in our genomic data set and differences in the frequency of adaptive and neutral variation between populations. We assess landscape connectivity and show that changing environmental suitability may limit the future movement of individuals, thus affecting both the ability of populations to shift their distribution to climatically suitable areas and the probability of evolutionary rescue through the spread of adaptive genetic variation among populations. Therefore, a better understanding of movement ecology and landscape connectivity is needed for predicting population persistence under climate change. Our study highlights the importance of incorporating genomic data to determine sensitivity, adaptive potential and range shift potential, instead of relying solely on exposure to guide species vulnerability assessments and conservation planning. John Wiley and Sons Inc. 2017-07-25 2018-01 /pmc/articles/PMC6849758/ /pubmed/28649779 http://dx.doi.org/10.1111/1755-0998.12694 Text en © 2017 The Authors. Molecular Ecology Resources Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle From the Cover
Razgour, Orly
Taggart, John B.
Manel, Stephanie
Juste, Javier
Ibáñez, Carlos
Rebelo, Hugo
Alberdi, Antton
Jones, Gareth
Park, Kirsty
An integrated framework to identify wildlife populations under threat from climate change
title An integrated framework to identify wildlife populations under threat from climate change
title_full An integrated framework to identify wildlife populations under threat from climate change
title_fullStr An integrated framework to identify wildlife populations under threat from climate change
title_full_unstemmed An integrated framework to identify wildlife populations under threat from climate change
title_short An integrated framework to identify wildlife populations under threat from climate change
title_sort integrated framework to identify wildlife populations under threat from climate change
topic From the Cover
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849758/
https://www.ncbi.nlm.nih.gov/pubmed/28649779
http://dx.doi.org/10.1111/1755-0998.12694
work_keys_str_mv AT razgourorly anintegratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT taggartjohnb anintegratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT manelstephanie anintegratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT justejavier anintegratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT ibanezcarlos anintegratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT rebelohugo anintegratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT alberdiantton anintegratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT jonesgareth anintegratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT parkkirsty anintegratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT razgourorly integratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT taggartjohnb integratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT manelstephanie integratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT justejavier integratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT ibanezcarlos integratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT rebelohugo integratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT alberdiantton integratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT jonesgareth integratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange
AT parkkirsty integratedframeworktoidentifywildlifepopulationsunderthreatfromclimatechange