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Toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors

Global biodiversity declines, largely driven by climate and land‐use changes, urge the development of transparent guidelines for effective conservation strategies. Species distribution modeling (SDM) is a widely used approach for predicting potential shifts in species distributions, which can in tur...

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Autores principales: De Kort, Hanne, Baguette, Michel, Lenoir, Jonathan, Stevens, Virginie M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593202/
https://www.ncbi.nlm.nih.gov/pubmed/33144939
http://dx.doi.org/10.1002/ece3.6753
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author De Kort, Hanne
Baguette, Michel
Lenoir, Jonathan
Stevens, Virginie M.
author_facet De Kort, Hanne
Baguette, Michel
Lenoir, Jonathan
Stevens, Virginie M.
author_sort De Kort, Hanne
collection PubMed
description Global biodiversity declines, largely driven by climate and land‐use changes, urge the development of transparent guidelines for effective conservation strategies. Species distribution modeling (SDM) is a widely used approach for predicting potential shifts in species distributions, which can in turn support ecological conservation where environmental change is expected to impact population and community dynamics. Improvements in SDM accuracy through incorporating intra‐ and interspecific processes have boosted the SDM field forward, but simultaneously urge harmonizing the vast array of SDM approaches into an overarching, widely adoptable, and scientifically justified SDM framework. In this review, we first discuss how climate warming and land‐use change interact to govern population dynamics and species’ distributions, depending on species’ dispersal and evolutionary abilities. We particularly emphasize that both land‐use and climate change can reduce the accessibility to suitable habitat for many species, rendering the ability of species to colonize new habitat and to exchange genetic variation a crucial yet poorly implemented component of SDM. We then unite existing methodological SDM practices that aim to increase model accuracy through accounting for multiple global change stressors, dispersal, or evolution, while shifting our focus to model feasibility. We finally propose a roadmap harmonizing model accuracy and feasibility, applicable to both common and rare species, particularly those with poor dispersal abilities. This roadmap (a) paves the way for an overarching SDM framework allowing comparison and synthesis of different SDM studies and (b) could advance SDM to a level that allows systematic integration of SDM outcomes into effective conservation plans.
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spelling pubmed-75932022020-11-02 Toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors De Kort, Hanne Baguette, Michel Lenoir, Jonathan Stevens, Virginie M. Ecol Evol Reviews Global biodiversity declines, largely driven by climate and land‐use changes, urge the development of transparent guidelines for effective conservation strategies. Species distribution modeling (SDM) is a widely used approach for predicting potential shifts in species distributions, which can in turn support ecological conservation where environmental change is expected to impact population and community dynamics. Improvements in SDM accuracy through incorporating intra‐ and interspecific processes have boosted the SDM field forward, but simultaneously urge harmonizing the vast array of SDM approaches into an overarching, widely adoptable, and scientifically justified SDM framework. In this review, we first discuss how climate warming and land‐use change interact to govern population dynamics and species’ distributions, depending on species’ dispersal and evolutionary abilities. We particularly emphasize that both land‐use and climate change can reduce the accessibility to suitable habitat for many species, rendering the ability of species to colonize new habitat and to exchange genetic variation a crucial yet poorly implemented component of SDM. We then unite existing methodological SDM practices that aim to increase model accuracy through accounting for multiple global change stressors, dispersal, or evolution, while shifting our focus to model feasibility. We finally propose a roadmap harmonizing model accuracy and feasibility, applicable to both common and rare species, particularly those with poor dispersal abilities. This roadmap (a) paves the way for an overarching SDM framework allowing comparison and synthesis of different SDM studies and (b) could advance SDM to a level that allows systematic integration of SDM outcomes into effective conservation plans. John Wiley and Sons Inc. 2020-09-22 /pmc/articles/PMC7593202/ /pubmed/33144939 http://dx.doi.org/10.1002/ece3.6753 Text en © 2020 The Authors. Ecology and Evolution 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 Reviews
De Kort, Hanne
Baguette, Michel
Lenoir, Jonathan
Stevens, Virginie M.
Toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors
title Toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors
title_full Toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors
title_fullStr Toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors
title_full_unstemmed Toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors
title_short Toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors
title_sort toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593202/
https://www.ncbi.nlm.nih.gov/pubmed/33144939
http://dx.doi.org/10.1002/ece3.6753
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