Integration of hotspot identification, gap analysis, and niche modeling supports the conservation of Chinese threatened higher plants | |
Xue, Tian-Tian; Yang, Xu-Dong; Liu, Qin2; Qin, Fei; Zhang, Wen-Di; Janssens, Steven B.; Yu, Sheng-Xiang | |
刊名 | JOURNAL OF SYSTEMATICS AND EVOLUTION |
2023 | |
卷号 | 61期号:4页码:682-697 |
关键词 | hotspot niche modeling spatial conservation species complementarity species richness threatened species weighted endemism |
ISSN号 | 1674-4918 |
DOI | 10.1111/jse.12901 |
文献子类 | Article |
英文摘要 | A significant fraction of higher plants in China are threatened due to dramatic landscape transformation and increasing climate change. However, the conservation effectiveness of threatened higher plants (THPs) and their response to climate change are still underexplored to date. Based on the latest list of THPs in China, we obtained 102 593 occurrence records with latitude and longitude for 3858 THPs. By integrating the distribution patterns of three biodiversity indexes (i.e., species richness, species complementarity, and weighted endemism) and 10 plant categories, we identified hotspots for THPs and calculated the conservation effectiveness of nature reserves. We then selected 1959 THPs to project the shift of species richness and range sizes under climate change (representative concentration pathway [RCP] 2.6 and RCP 8.5). In total, 16 hotspot areas covering 7.38% of Chinese land area and containing 91.73% of THPs were identified. Current nature reserves protected 35.05% of hotspots, 73.07% of all THPs, and 56.64% of narrow-ranged species. By the 2070s, the species richness of THPs were predicted to decrease in Southeast and Central China, and 42.42% (RCP 2.6) and 51.40% (RCP 8.5) of the 1959 THPs would confront habitat contraction. Future conservation efforts should focus on the conservation gaps and carry out targeted conservation for THPs with narrow distribution range. In order to cope with climate change, the hotspots with relatively low species loss can serve as important areas to contain current species diversity and the areas with high species gain offer opportunities for ex-situ conservation of THPs. |
学科主题 | Plant Sciences |
电子版国际标准刊号 | 1759-6831 |
出版地 | HOBOKEN |
WOS关键词 | CLIMATE-CHANGE ; SPECIES RICHNESS ; BIODIVERSITY CONSERVATION ; GEOGRAPHIC-DISTRIBUTION ; DISTRIBUTION PATTERNS ; MULTIPLE DIMENSIONS ; DIVERSITY HOTSPOTS ; NATURE-RESERVES ; PRIORITY AREAS ; FLORA |
WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
语种 | 英语 |
出版者 | WILEY |
WOS记录号 | WOS:000849862600001 |
资助机构 | National Natural Science Foundation of China [32071654] ; Biodiversity Survey and Assessment Project of the Ministry of Ecology and Environment, China [2019HJ2096001006] ; Biodiversity Survey, Observation and Assessment Program of Ministry of Ecology and Environment of China [8-3-7-20-9] |
内容类型 | 期刊论文 |
源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/29116] |
专题 | 系统与进化植物学国家重点实验室 |
作者单位 | 1.Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410004, Peoples R China 2.Univ Chinese Acad Sci, Coll Life Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China 4.Janssens, Steven B.] Katholieke Univ Leuven, Dept Biol, B-3001 Leuven, Belgium 5.Janssens, Steven B.] Meise Bot Garden, B-1860 Meise, Belgium |
推荐引用方式 GB/T 7714 | Xue, Tian-Tian,Yang, Xu-Dong,Liu, Qin,et al. Integration of hotspot identification, gap analysis, and niche modeling supports the conservation of Chinese threatened higher plants[J]. JOURNAL OF SYSTEMATICS AND EVOLUTION,2023,61(4):682-697. |
APA | Xue, Tian-Tian.,Yang, Xu-Dong.,Liu, Qin.,Qin, Fei.,Zhang, Wen-Di.,...&Yu, Sheng-Xiang.(2023).Integration of hotspot identification, gap analysis, and niche modeling supports the conservation of Chinese threatened higher plants.JOURNAL OF SYSTEMATICS AND EVOLUTION,61(4),682-697. |
MLA | Xue, Tian-Tian,et al."Integration of hotspot identification, gap analysis, and niche modeling supports the conservation of Chinese threatened higher plants".JOURNAL OF SYSTEMATICS AND EVOLUTION 61.4(2023):682-697. |
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