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Influence of adaptive capacity on the outcome of climate change vulnerability assessment
Climate change vulnerability assessment (CCVA) has become a mainstay conservation decision support tool. CCVAs are recommended to incorporate three elements of vulnerability – exposure, sensitivity and adaptive capacity – yet, lack of data frequently leads to the latter being excluded. Further, weig...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5636830/ https://www.ncbi.nlm.nih.gov/pubmed/29021590 http://dx.doi.org/10.1038/s41598-017-13245-y |
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author | Ofori, Benjamin Y. Stow, Adam J. Baumgartner, John B. Beaumont, Linda J. |
author_facet | Ofori, Benjamin Y. Stow, Adam J. Baumgartner, John B. Beaumont, Linda J. |
author_sort | Ofori, Benjamin Y. |
collection | PubMed |
description | Climate change vulnerability assessment (CCVA) has become a mainstay conservation decision support tool. CCVAs are recommended to incorporate three elements of vulnerability – exposure, sensitivity and adaptive capacity – yet, lack of data frequently leads to the latter being excluded. Further, weighted or unweighted scoring schemes, based on expert opinion, may be applied. Comparisons of these approaches are rare. In a CCVA for 17 Australian lizard species, we show that membership within three vulnerability categories (low, medium and high) generally remained similar regardless of the framework or scoring scheme. There was one exception however, where, under the warm/dry scenario for 2070, including adaptive capacity lead to five fewer species being classified as highly vulnerable. Two species, Eulamprus leuraensis and E. kosciuskoi, were consistently ranked the most vulnerable, primarily due to projected losses in climatically suitable habitat, narrow thermal tolerance and specialist habitat requirements. Our findings provide relevant information for prioritizing target species for conservation and choosing appropriate conservation actions. We conclude that for the species included in this study, the framework and scoring scheme used had little impact on the identification of the most vulnerable species. We caution, however, that this outcome may not apply to other taxa or regions. |
format | Online Article Text |
id | pubmed-5636830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56368302017-10-18 Influence of adaptive capacity on the outcome of climate change vulnerability assessment Ofori, Benjamin Y. Stow, Adam J. Baumgartner, John B. Beaumont, Linda J. Sci Rep Article Climate change vulnerability assessment (CCVA) has become a mainstay conservation decision support tool. CCVAs are recommended to incorporate three elements of vulnerability – exposure, sensitivity and adaptive capacity – yet, lack of data frequently leads to the latter being excluded. Further, weighted or unweighted scoring schemes, based on expert opinion, may be applied. Comparisons of these approaches are rare. In a CCVA for 17 Australian lizard species, we show that membership within three vulnerability categories (low, medium and high) generally remained similar regardless of the framework or scoring scheme. There was one exception however, where, under the warm/dry scenario for 2070, including adaptive capacity lead to five fewer species being classified as highly vulnerable. Two species, Eulamprus leuraensis and E. kosciuskoi, were consistently ranked the most vulnerable, primarily due to projected losses in climatically suitable habitat, narrow thermal tolerance and specialist habitat requirements. Our findings provide relevant information for prioritizing target species for conservation and choosing appropriate conservation actions. We conclude that for the species included in this study, the framework and scoring scheme used had little impact on the identification of the most vulnerable species. We caution, however, that this outcome may not apply to other taxa or regions. Nature Publishing Group UK 2017-10-11 /pmc/articles/PMC5636830/ /pubmed/29021590 http://dx.doi.org/10.1038/s41598-017-13245-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ofori, Benjamin Y. Stow, Adam J. Baumgartner, John B. Beaumont, Linda J. Influence of adaptive capacity on the outcome of climate change vulnerability assessment |
title | Influence of adaptive capacity on the outcome of climate change vulnerability assessment |
title_full | Influence of adaptive capacity on the outcome of climate change vulnerability assessment |
title_fullStr | Influence of adaptive capacity on the outcome of climate change vulnerability assessment |
title_full_unstemmed | Influence of adaptive capacity on the outcome of climate change vulnerability assessment |
title_short | Influence of adaptive capacity on the outcome of climate change vulnerability assessment |
title_sort | influence of adaptive capacity on the outcome of climate change vulnerability assessment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5636830/ https://www.ncbi.nlm.nih.gov/pubmed/29021590 http://dx.doi.org/10.1038/s41598-017-13245-y |
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