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Low ecological representation in the protected area network of China
Protected areas are considered as an essential strategy to halt the decline of biodiversity. Ecological representation in protected areas is crucial for assessment on the progress toward conservation targets. Although China has established a large number of protected areas since the 1950s, ecologica...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024119/ https://www.ncbi.nlm.nih.gov/pubmed/29988352 http://dx.doi.org/10.1002/ece3.4175 |
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author | Xu, Haigen Cao, Mingchang Wang, Zhi Wu, Yi Cao, Yun Wu, Jun Le, Zhifang Cui, Peng Ding, Hui Xu, Wanggu Peng, Hua Jiang, Jianping Wu, Yuhu Jiang, Xuelong Zhang, Zhiyun Rao, Dingqi Li, Jianqiang Lei, Fumin Xia, Nianhe Han, Lianxian Cao, Wei Wu, Jiayu Xia, Xin Li, Yimin |
author_facet | Xu, Haigen Cao, Mingchang Wang, Zhi Wu, Yi Cao, Yun Wu, Jun Le, Zhifang Cui, Peng Ding, Hui Xu, Wanggu Peng, Hua Jiang, Jianping Wu, Yuhu Jiang, Xuelong Zhang, Zhiyun Rao, Dingqi Li, Jianqiang Lei, Fumin Xia, Nianhe Han, Lianxian Cao, Wei Wu, Jiayu Xia, Xin Li, Yimin |
author_sort | Xu, Haigen |
collection | PubMed |
description | Protected areas are considered as an essential strategy to halt the decline of biodiversity. Ecological representation in protected areas is crucial for assessment on the progress toward conservation targets. Although China has established a large number of protected areas since the 1950s, ecological representation of protected areas is poorly understood. Here, we performed the complementarity analysis to evaluate ecological representation of protected areas in China. We used a database of the geographical distribution for 10,396 woody plant species, 2,305 fern species, 406 amphibian species, 460 reptile species, 1,364 bird species, and 590 mammal species from 2,376 counties across China. We identified complementary sets of counties for all species or threatened species of plant and vertebrate species using a complementarity algorithm. We evaluated ecological representation of 3,627 protected areas and discerned conservation gaps by comparing the distribution of protected areas with complementary sets. The results show that the spatially representative and complementary sites for biodiversity are poorly covered, and a fairly large proportion of protected areas is not designed to efficiently represent biodiversity at the national scale. Our methodology can serve as a generic framework for assessment on ecological representation of protected areas at the national scale. |
format | Online Article Text |
id | pubmed-6024119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60241192018-07-09 Low ecological representation in the protected area network of China Xu, Haigen Cao, Mingchang Wang, Zhi Wu, Yi Cao, Yun Wu, Jun Le, Zhifang Cui, Peng Ding, Hui Xu, Wanggu Peng, Hua Jiang, Jianping Wu, Yuhu Jiang, Xuelong Zhang, Zhiyun Rao, Dingqi Li, Jianqiang Lei, Fumin Xia, Nianhe Han, Lianxian Cao, Wei Wu, Jiayu Xia, Xin Li, Yimin Ecol Evol Original Research Protected areas are considered as an essential strategy to halt the decline of biodiversity. Ecological representation in protected areas is crucial for assessment on the progress toward conservation targets. Although China has established a large number of protected areas since the 1950s, ecological representation of protected areas is poorly understood. Here, we performed the complementarity analysis to evaluate ecological representation of protected areas in China. We used a database of the geographical distribution for 10,396 woody plant species, 2,305 fern species, 406 amphibian species, 460 reptile species, 1,364 bird species, and 590 mammal species from 2,376 counties across China. We identified complementary sets of counties for all species or threatened species of plant and vertebrate species using a complementarity algorithm. We evaluated ecological representation of 3,627 protected areas and discerned conservation gaps by comparing the distribution of protected areas with complementary sets. The results show that the spatially representative and complementary sites for biodiversity are poorly covered, and a fairly large proportion of protected areas is not designed to efficiently represent biodiversity at the national scale. Our methodology can serve as a generic framework for assessment on ecological representation of protected areas at the national scale. John Wiley and Sons Inc. 2018-05-24 /pmc/articles/PMC6024119/ /pubmed/29988352 http://dx.doi.org/10.1002/ece3.4175 Text en © 2018 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 | Original Research Xu, Haigen Cao, Mingchang Wang, Zhi Wu, Yi Cao, Yun Wu, Jun Le, Zhifang Cui, Peng Ding, Hui Xu, Wanggu Peng, Hua Jiang, Jianping Wu, Yuhu Jiang, Xuelong Zhang, Zhiyun Rao, Dingqi Li, Jianqiang Lei, Fumin Xia, Nianhe Han, Lianxian Cao, Wei Wu, Jiayu Xia, Xin Li, Yimin Low ecological representation in the protected area network of China |
title | Low ecological representation in the protected area network of China |
title_full | Low ecological representation in the protected area network of China |
title_fullStr | Low ecological representation in the protected area network of China |
title_full_unstemmed | Low ecological representation in the protected area network of China |
title_short | Low ecological representation in the protected area network of China |
title_sort | low ecological representation in the protected area network of china |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024119/ https://www.ncbi.nlm.nih.gov/pubmed/29988352 http://dx.doi.org/10.1002/ece3.4175 |
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