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Projected impacts of climate change on snow leopard habitat in Qinghai Province, China
Assessing species’ vulnerability to climate change is a prerequisite for developing effective strategies to reduce emerging climate‐related threats. We used the maximum entropy algorithm (MaxEnt model) to assess potential changes in suitable snow leopard (Panthera uncia) habitat in Qinghai Province,...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668752/ https://www.ncbi.nlm.nih.gov/pubmed/34938503 http://dx.doi.org/10.1002/ece3.8358 |
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author | Li, Jia Xue, Yadong Hacker, Charlotte E. Zhang, Yu Li, Ye Cong, Wei Jin, Lixiao Li, Gang Wu, Bo Li, Diqiang Zhang, Yuguang |
author_facet | Li, Jia Xue, Yadong Hacker, Charlotte E. Zhang, Yu Li, Ye Cong, Wei Jin, Lixiao Li, Gang Wu, Bo Li, Diqiang Zhang, Yuguang |
author_sort | Li, Jia |
collection | PubMed |
description | Assessing species’ vulnerability to climate change is a prerequisite for developing effective strategies to reduce emerging climate‐related threats. We used the maximum entropy algorithm (MaxEnt model) to assess potential changes in suitable snow leopard (Panthera uncia) habitat in Qinghai Province, China, under a mild climate change scenario. Our results showed that the area of suitable snow leopard habitat in Qinghai Province was 302,821 km(2) under current conditions and 228,997 km(2) under the 2050s climatic scenario, with a mean upward shift in elevation of 90 m. At present, nature reserves protect 38.78% of currently suitable habitat and will protect 42.56% of future suitable habitat. Current areas of climate refugia amounted to 212,341 km(2) and are mainly distributed in the Sanjiangyuan region, Qilian mountains, and surrounding areas. Our results provide valuable information for formulating strategies to meet future conservation challenges brought on by climate stress. We suggest that conservation efforts in Qinghai Province should focus on protecting areas of climate refugia and on maintaining or building corridors when planning for future species management. |
format | Online Article Text |
id | pubmed-8668752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86687522021-12-21 Projected impacts of climate change on snow leopard habitat in Qinghai Province, China Li, Jia Xue, Yadong Hacker, Charlotte E. Zhang, Yu Li, Ye Cong, Wei Jin, Lixiao Li, Gang Wu, Bo Li, Diqiang Zhang, Yuguang Ecol Evol Research Articles Assessing species’ vulnerability to climate change is a prerequisite for developing effective strategies to reduce emerging climate‐related threats. We used the maximum entropy algorithm (MaxEnt model) to assess potential changes in suitable snow leopard (Panthera uncia) habitat in Qinghai Province, China, under a mild climate change scenario. Our results showed that the area of suitable snow leopard habitat in Qinghai Province was 302,821 km(2) under current conditions and 228,997 km(2) under the 2050s climatic scenario, with a mean upward shift in elevation of 90 m. At present, nature reserves protect 38.78% of currently suitable habitat and will protect 42.56% of future suitable habitat. Current areas of climate refugia amounted to 212,341 km(2) and are mainly distributed in the Sanjiangyuan region, Qilian mountains, and surrounding areas. Our results provide valuable information for formulating strategies to meet future conservation challenges brought on by climate stress. We suggest that conservation efforts in Qinghai Province should focus on protecting areas of climate refugia and on maintaining or building corridors when planning for future species management. John Wiley and Sons Inc. 2021-11-18 /pmc/articles/PMC8668752/ /pubmed/34938503 http://dx.doi.org/10.1002/ece3.8358 Text en © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Li, Jia Xue, Yadong Hacker, Charlotte E. Zhang, Yu Li, Ye Cong, Wei Jin, Lixiao Li, Gang Wu, Bo Li, Diqiang Zhang, Yuguang Projected impacts of climate change on snow leopard habitat in Qinghai Province, China |
title | Projected impacts of climate change on snow leopard habitat in Qinghai Province, China |
title_full | Projected impacts of climate change on snow leopard habitat in Qinghai Province, China |
title_fullStr | Projected impacts of climate change on snow leopard habitat in Qinghai Province, China |
title_full_unstemmed | Projected impacts of climate change on snow leopard habitat in Qinghai Province, China |
title_short | Projected impacts of climate change on snow leopard habitat in Qinghai Province, China |
title_sort | projected impacts of climate change on snow leopard habitat in qinghai province, china |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668752/ https://www.ncbi.nlm.nih.gov/pubmed/34938503 http://dx.doi.org/10.1002/ece3.8358 |
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