Cargando…
Developing long-term conservation priority planning for medicinal plants in China by combining conservation status with diversity hotspot analyses and climate change prediction
BACKGROUND: Medicinal plants have always played an important role in the history of human health. However, the populations and sustainable use of medicinal plants have been severely affected by human activities and climate change. Little is known about the current conservation status and distributio...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027417/ https://www.ncbi.nlm.nih.gov/pubmed/35449002 http://dx.doi.org/10.1186/s12915-022-01285-4 |
_version_ | 1784691357534650368 |
---|---|
author | Xia, Changying Huang, Yunfeng Qi, Yaodong Yang, Xudong Xue, Tiantian Hu, Renchuan Deng, Hongping Bussmann, Rainer W. Yu, Shengxiang |
author_facet | Xia, Changying Huang, Yunfeng Qi, Yaodong Yang, Xudong Xue, Tiantian Hu, Renchuan Deng, Hongping Bussmann, Rainer W. Yu, Shengxiang |
author_sort | Xia, Changying |
collection | PubMed |
description | BACKGROUND: Medicinal plants have always played an important role in the history of human health. However, the populations and sustainable use of medicinal plants have been severely affected by human activities and climate change. Little is known about the current conservation status and distribution pattern of medicinal plants. In this study, based on accurate geographical distribution information of 9756 medicinal plants, we identified diversity hotspots and conservation gaps, evaluated conservation effectiveness of nature reserves, and predicted suitable habitat areas for medicinal plants in China to provide scientific guidance for their long-term conservation and sustainable use. RESULTS: A total of 150 diversity hotspot grid cells, mainly concentrated in central and southern China, were identified. These only accounted for 5% of the total distribution area but contained 96% of the medicinal plants of the country. The hotspot grid cells included all traditional hotspot areas, but we also detected three new hotspots, namely Mufu-Lushan Mountains, Tianshan-Altai Mountains, and Changbai Mountains. The current national and provincial nature reserves protect 125 hotspot grid cells, which harbor 94% of all medicinal plants. However, 25 hotspot grid cells, distributed in the Tianshan-Altai Mountains and Hengduan Mountains, are located outside the national and provincial nature reserves. An analysis of the predicted effects of climate change indicated that the suitable habitat areas will shift from southern to northern China, and that southern China will face a considerable loss of suitable habitat areas, while the east and west parts of China will encompass remarkably more suitable habitat areas in the future. CONCLUSIONS: The current conservation networks have achieved high conservation effectiveness with regard to medicinal plants; however, the conservation gaps we identified should not be neglected, and conservation planning needs to take into account the predicted shifts of some hotspots of medicinal plants due to climate change. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-022-01285-4. |
format | Online Article Text |
id | pubmed-9027417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90274172022-04-23 Developing long-term conservation priority planning for medicinal plants in China by combining conservation status with diversity hotspot analyses and climate change prediction Xia, Changying Huang, Yunfeng Qi, Yaodong Yang, Xudong Xue, Tiantian Hu, Renchuan Deng, Hongping Bussmann, Rainer W. Yu, Shengxiang BMC Biol Research Article BACKGROUND: Medicinal plants have always played an important role in the history of human health. However, the populations and sustainable use of medicinal plants have been severely affected by human activities and climate change. Little is known about the current conservation status and distribution pattern of medicinal plants. In this study, based on accurate geographical distribution information of 9756 medicinal plants, we identified diversity hotspots and conservation gaps, evaluated conservation effectiveness of nature reserves, and predicted suitable habitat areas for medicinal plants in China to provide scientific guidance for their long-term conservation and sustainable use. RESULTS: A total of 150 diversity hotspot grid cells, mainly concentrated in central and southern China, were identified. These only accounted for 5% of the total distribution area but contained 96% of the medicinal plants of the country. The hotspot grid cells included all traditional hotspot areas, but we also detected three new hotspots, namely Mufu-Lushan Mountains, Tianshan-Altai Mountains, and Changbai Mountains. The current national and provincial nature reserves protect 125 hotspot grid cells, which harbor 94% of all medicinal plants. However, 25 hotspot grid cells, distributed in the Tianshan-Altai Mountains and Hengduan Mountains, are located outside the national and provincial nature reserves. An analysis of the predicted effects of climate change indicated that the suitable habitat areas will shift from southern to northern China, and that southern China will face a considerable loss of suitable habitat areas, while the east and west parts of China will encompass remarkably more suitable habitat areas in the future. CONCLUSIONS: The current conservation networks have achieved high conservation effectiveness with regard to medicinal plants; however, the conservation gaps we identified should not be neglected, and conservation planning needs to take into account the predicted shifts of some hotspots of medicinal plants due to climate change. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-022-01285-4. BioMed Central 2022-04-21 /pmc/articles/PMC9027417/ /pubmed/35449002 http://dx.doi.org/10.1186/s12915-022-01285-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Xia, Changying Huang, Yunfeng Qi, Yaodong Yang, Xudong Xue, Tiantian Hu, Renchuan Deng, Hongping Bussmann, Rainer W. Yu, Shengxiang Developing long-term conservation priority planning for medicinal plants in China by combining conservation status with diversity hotspot analyses and climate change prediction |
title | Developing long-term conservation priority planning for medicinal plants in China by combining conservation status with diversity hotspot analyses and climate change prediction |
title_full | Developing long-term conservation priority planning for medicinal plants in China by combining conservation status with diversity hotspot analyses and climate change prediction |
title_fullStr | Developing long-term conservation priority planning for medicinal plants in China by combining conservation status with diversity hotspot analyses and climate change prediction |
title_full_unstemmed | Developing long-term conservation priority planning for medicinal plants in China by combining conservation status with diversity hotspot analyses and climate change prediction |
title_short | Developing long-term conservation priority planning for medicinal plants in China by combining conservation status with diversity hotspot analyses and climate change prediction |
title_sort | developing long-term conservation priority planning for medicinal plants in china by combining conservation status with diversity hotspot analyses and climate change prediction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027417/ https://www.ncbi.nlm.nih.gov/pubmed/35449002 http://dx.doi.org/10.1186/s12915-022-01285-4 |
work_keys_str_mv | AT xiachangying developinglongtermconservationpriorityplanningformedicinalplantsinchinabycombiningconservationstatuswithdiversityhotspotanalysesandclimatechangeprediction AT huangyunfeng developinglongtermconservationpriorityplanningformedicinalplantsinchinabycombiningconservationstatuswithdiversityhotspotanalysesandclimatechangeprediction AT qiyaodong developinglongtermconservationpriorityplanningformedicinalplantsinchinabycombiningconservationstatuswithdiversityhotspotanalysesandclimatechangeprediction AT yangxudong developinglongtermconservationpriorityplanningformedicinalplantsinchinabycombiningconservationstatuswithdiversityhotspotanalysesandclimatechangeprediction AT xuetiantian developinglongtermconservationpriorityplanningformedicinalplantsinchinabycombiningconservationstatuswithdiversityhotspotanalysesandclimatechangeprediction AT hurenchuan developinglongtermconservationpriorityplanningformedicinalplantsinchinabycombiningconservationstatuswithdiversityhotspotanalysesandclimatechangeprediction AT denghongping developinglongtermconservationpriorityplanningformedicinalplantsinchinabycombiningconservationstatuswithdiversityhotspotanalysesandclimatechangeprediction AT bussmannrainerw developinglongtermconservationpriorityplanningformedicinalplantsinchinabycombiningconservationstatuswithdiversityhotspotanalysesandclimatechangeprediction AT yushengxiang developinglongtermconservationpriorityplanningformedicinalplantsinchinabycombiningconservationstatuswithdiversityhotspotanalysesandclimatechangeprediction |