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Distribution, congruence, and hotspots of higher plants in China
Identifying biodiversity hotspots has become a central issue in setting up priority protection areas, especially as financial resources for biological diversity conservation are limited. Taking China’s Higher Plants Red List (CHPRL), including Bryophytes, Ferns, Gymnosperms, Angiosperms, as the data...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707485/ https://www.ncbi.nlm.nih.gov/pubmed/26750244 http://dx.doi.org/10.1038/srep19080 |
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author | Zhao, Lina Li, Jinya Liu, Huiyuan Qin, Haining |
author_facet | Zhao, Lina Li, Jinya Liu, Huiyuan Qin, Haining |
author_sort | Zhao, Lina |
collection | PubMed |
description | Identifying biodiversity hotspots has become a central issue in setting up priority protection areas, especially as financial resources for biological diversity conservation are limited. Taking China’s Higher Plants Red List (CHPRL), including Bryophytes, Ferns, Gymnosperms, Angiosperms, as the data source, we analyzed the geographic patterns of species richness, endemism, and endangerment via data processing at a fine grid-scale with an average edge length of 30 km based on three aspects of richness information: species richness, endemic species richness, and threatened species richness. We sought to test the accuracy of hotspots used in identifying conservation priorities with regard to higher plants. Next, we tested the congruence of the three aspects and made a comparison of the similarities and differences between the hotspots described in this paper and those in previous studies. We found that over 90% of threatened species in China are concentrated. While a high spatial congruence is observed among the three measures, there is a low congruence between two different sets of hotspots. Our results suggest that biodiversity information should be considered when identifying biological hotspots. Other factors, such as scales, should be included as well to develop biodiversity conservation plans in accordance with the region’s specific conditions. |
format | Online Article Text |
id | pubmed-4707485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47074852016-01-20 Distribution, congruence, and hotspots of higher plants in China Zhao, Lina Li, Jinya Liu, Huiyuan Qin, Haining Sci Rep Article Identifying biodiversity hotspots has become a central issue in setting up priority protection areas, especially as financial resources for biological diversity conservation are limited. Taking China’s Higher Plants Red List (CHPRL), including Bryophytes, Ferns, Gymnosperms, Angiosperms, as the data source, we analyzed the geographic patterns of species richness, endemism, and endangerment via data processing at a fine grid-scale with an average edge length of 30 km based on three aspects of richness information: species richness, endemic species richness, and threatened species richness. We sought to test the accuracy of hotspots used in identifying conservation priorities with regard to higher plants. Next, we tested the congruence of the three aspects and made a comparison of the similarities and differences between the hotspots described in this paper and those in previous studies. We found that over 90% of threatened species in China are concentrated. While a high spatial congruence is observed among the three measures, there is a low congruence between two different sets of hotspots. Our results suggest that biodiversity information should be considered when identifying biological hotspots. Other factors, such as scales, should be included as well to develop biodiversity conservation plans in accordance with the region’s specific conditions. Nature Publishing Group 2016-01-11 /pmc/articles/PMC4707485/ /pubmed/26750244 http://dx.doi.org/10.1038/srep19080 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhao, Lina Li, Jinya Liu, Huiyuan Qin, Haining Distribution, congruence, and hotspots of higher plants in China |
title | Distribution, congruence, and hotspots of higher plants in China |
title_full | Distribution, congruence, and hotspots of higher plants in China |
title_fullStr | Distribution, congruence, and hotspots of higher plants in China |
title_full_unstemmed | Distribution, congruence, and hotspots of higher plants in China |
title_short | Distribution, congruence, and hotspots of higher plants in China |
title_sort | distribution, congruence, and hotspots of higher plants in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707485/ https://www.ncbi.nlm.nih.gov/pubmed/26750244 http://dx.doi.org/10.1038/srep19080 |
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