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Transitional areas of vegetation as biodiversity hotspots evidenced by multifaceted biodiversity analysis of a dominant group in Chinese evergreen broad-leaved forests
Zhou, Run; Ci, Xiuqin1; Hu, Jianlin; Zhang, Xiaoyan2; Cao, Guanlong2,3; Xiao, Jianhua4; Liu, Zhifang5; Li, Lang1; Thornhill, Andrew H.; Conran, John G.; Li, Jie1
2023
Source PublicationECOLOGICAL INDICATORS
ISSN1470-160X
Volume147Issue:xPages:-
Abstract

Species in transitional areas often display adaptive responses to climate change and such areas may be crucial for long-term biodiversity conservation. Evaluation of spatial multidimensional biodiversity patterns and the identification of biodiversity hotspots and priority conservation areas may help mitigate the effects of climate change. Here, we examine the spatial distribution patterns, evolutionary and functional levels of Lauraceae from Chinese evergreen broad-leaved forests. The results show species richness (SR), corrected weighted endemism (CWE), phylogenetic diversity (PD), and phylogenetic endemism (PE) for Chinese Lauraceae are congruent, whereas evolutionarily distinct and globally endangered (EDGE) and function diversity (FD) are incongruent. Areas of paleo-endemism are present in the border region of Yunnan and Guangxi, whereas neo-endemic regions are distributed mainly along the Yarlung Zangbo River and the Himalayas in southern Tibet. Priority conser-vation areas are located in southern Tibet, the northern Hengduan Mountains, the north-south boundary of Qinling and Huaihe River, southern and south-eastern Yunnan, and south China. Biodiversity hotspots for Chi-nese Lauraceae overlap with transitional zones for several other vegetation types in adjacent areas. Climate factors are estimated to account for 82.72% of the SR and 86.86% of the PD for Lauraceae spatial distribution patterns, reflecting higher diversity under warmer and wetter conditions. This study confirms the conservation value of transitional areas and the significance of using multiple diversity facets as part of integrative approaches to maximize biodiversity protection in Chinese broad-leaved forests, especially under climate change.

KeywordSpatial pattern Multifaceted diversity Transitional areas Evergreen broad-leaved forests Hotspots Conservation
Subject AreaBiodiversity Conservation ; Environmental Sciences
DOI10.1016/j.ecolind.2023.110001
Indexed BySCI
WOS IDWOS:000946209200001
Citation statistics
Document Type期刊论文
Identifierhttps://ir.xtbg.ac.cn/handle/353005/13384
Collection植物系统与保护生物学研究组
Affiliation1.Chinese Acad Sci, Plant Phylogenet & Conservat Grp, Ctr Integrat Conservat, Xishuangbanna Trop Bot Garden, Kunming 650223, Peoples R China
2.Chinese Acad Sci, Ctr Conservat Biol, Core Bot Gardens, Mengla, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China
5.JiaYing Univ, Guangdong Prov Key Lab Conservat & Precis Utilizat, Mei Zhou 514015, Guangdong, Peoples R China
6.Shandong Univ, Key Lab Chem Biol, Cheeloo Coll Med, Sch Pharmaceut Sci,Minist Educ, Jinan 250012, Peoples R China
7.Thornhill, Andrew H.; Conran, John G.] Univ Adelaide, Sch Biol Sci, Adelaide, SA 5005, Australia
8.Thornhill, Andrew H.] State Herbarium South Australia, Dept Environm & Water, Bot Garden & State Herbarium, Hackney Rd, Adelaide, SA 5001, Australia
Recommended Citation
GB/T 7714
Zhou, Run,Ci, Xiuqin,Hu, Jianlin,et al. Transitional areas of vegetation as biodiversity hotspots evidenced by multifaceted biodiversity analysis of a dominant group in Chinese evergreen broad-leaved forests[J]. ECOLOGICAL INDICATORS,2023,147(x):-.
APA Zhou, Run.,Ci, Xiuqin.,Hu, Jianlin.,Zhang, Xiaoyan.,Cao, Guanlong.,...&Li, Jie.(2023).Transitional areas of vegetation as biodiversity hotspots evidenced by multifaceted biodiversity analysis of a dominant group in Chinese evergreen broad-leaved forests.ECOLOGICAL INDICATORS,147(x),-.
MLA Zhou, Run,et al."Transitional areas of vegetation as biodiversity hotspots evidenced by multifaceted biodiversity analysis of a dominant group in Chinese evergreen broad-leaved forests".ECOLOGICAL INDICATORS 147.x(2023):-.
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