Integrating climate change vulnerability assessments from species distribution models and trait-based approaches
Autor: | Neil D. Burgess, Elise M. S. Belle, Bruce E. Young, Raquel A. Garcia, Stuart H. M. Butchart, Piero Visconti, Tim Newbold, Jamie Carr, Robert J. Smith, Carsten Rahbek, Andrew Hartley, Wendy Foden, Stephen G. Willis, David Baker, Nathalie Doswald, Christian Hof |
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Rok vydání: | 2015 |
Předmět: |
Adaptive capacity
business.industry Environmental resource management Vulnerability Conservation planning for climate change Climate change Species climate vulnerability traits Environmental niche modelling Model integration Vulnerability assessment Assisted colonization Trait Species distribution modelling Land use land-use change and forestry business Ecology Evolution Behavior and Systematics Nature and Landscape Conservation |
Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
Popis: | Received 1 May 2014, Revised 24 April 2015, Accepted 1 May 2015, Available online 19 June 2015.- S. G. Willis et al. To accommodate climate-driven changes in biological communities, conservation plans are increasingly making use of models to predict species’ responses to climate change. To date, species distribution models have been the most commonly used approach for assessing species’ vulnerability to climate change. Biological trait-based approaches, which have emerged recently, and which include consideration of species’ sensitivity and adaptive capacity, provide alternative and potentially conflicting vulnerability assessments and present conservation practitioners and planners with difficult choices. Here we discuss the differing objectives and strengths of the approaches, and provide guidance to conservation practitioners for their application. We outline an integrative methodological framework for assessing climate change impacts on species that uses both traditional species distribution modelling approaches and biological trait-based assessments. We show how these models can be used conceptually as inputs to guide conservation monitoring and planning. |
Databáze: | OpenAIRE |
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