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Predicting Climate Change Impacts on the Rare and Endangered Horsfieldia tetratepala in China
Cai, Chaonan1; Zhang, Xiaoyan2,3; Zha, Jianjun4; Li, Jie2; Li, Junmin1
2022
Source PublicationFORESTS
ISSN1999-4907
Volume13Issue:7Pages:-
Abstract

Global climate change has become a major threat to biodiversity, posing severe challenges to species conservation. This is particularly true for species such as Horsfieldia tetratepala that have extremely small populations in the wild. Little is known about the species distribution of H. tetratepala in the current climate, as well as how that will change with potential future climates. The key environmental factors that influence its expansion, especially its habitat sustainability and its potential to adapt to climate change, are also unknown, though such information is vital for the protection of this endangered species. Based on six climate factors and 25 species distribution points, this study used the maximum entropy model (MaxEnt) to simulate the potential distribution for H. tetratepala in three periods (current, 2050s, and 2070s), and to investigate the changes in distribution patterns and the main environmental factors affecting species distribution. The modeling results show that the most important bioclimatic variables affecting H. tetratepala were precipitation of the warmest quarter (Bio_18) and temperature seasonality (Bio_4). The suitable areas for H. tetratepala will gradually be lost in Yunnan but will be generally offset in the northeastward direction, expanding in Hainan, Guangzhou, and Taiwan provinces under the future climate conditions. Therefore, we recommend protecting the habitats of H. tetratepala in Yunnan and strengthening the in-depth species investigation and monitoring in areas (Hainan, Guangzhou, and Taiwan) where no related reports of H. tetratepala have been reported. The results improve our understanding of this species' response under the changing climate and benefit strategies for its conservation.

KeywordHorsfieldia tetratepala maximum entropy model species distribution habitat suitability shared socioeconomic pathways endangered species
Subject AreaForestry
DOI10.3390/f13071051
Indexed BySCI
Language英语
WOS IDWOS:000831838700001
Citation statistics
Document Type期刊论文
Identifierhttps://ir.xtbg.ac.cn/handle/353005/13142
Collection植物系统与保护生物学研究组
Affiliation1.Taizhou Univ, Sch Adv Study, Taizhou 318000, Peoples R China
2.Taizhou Univ, Zhejiang Prov Key Lab Plant Evolutionary Ecol & C, Taizhou 318000, Peoples R China
3.Chinese Acad Sci, Ctr Integrat Conservat, Xishuangbanna Trop Bot Garden, Plant Phylogenet & Conservat Grp, Kunming 650223, Yunnan, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Southern Univ Sci & Technol, Taizhou Res Inst, Taizhou 318000, Peoples R China
Recommended Citation
GB/T 7714
Cai, Chaonan,Zhang, Xiaoyan,Zha, Jianjun,et al. Predicting Climate Change Impacts on the Rare and Endangered Horsfieldia tetratepala in China[J]. FORESTS,2022,13(7):-.
APA Cai, Chaonan,Zhang, Xiaoyan,Zha, Jianjun,Li, Jie,&Li, Junmin.(2022).Predicting Climate Change Impacts on the Rare and Endangered Horsfieldia tetratepala in China.FORESTS,13(7),-.
MLA Cai, Chaonan,et al."Predicting Climate Change Impacts on the Rare and Endangered Horsfieldia tetratepala in China".FORESTS 13.7(2022):-.
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