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Differential adaptation of lianas and trees in wet and dry forests revealed by trait correlation networks

文献类型：期刊论文

作者Liu, Congcong1; Li, Ying1; He, Nianpeng1,2
刊名ECOLOGICAL INDICATORS
出版日期2022-02-01
卷号135页码:7
ISSN号1470-160X
关键词Adaptation Branch traits Leaf traits Modularity Plant strategy integration stem traits Trait interdependence
DOI10.1016/j.ecolind.2022.108564
通讯作者Li, Ying(lying@igsnrr.ac.cn) ; He, Nianpeng(henp@igsnrr.ac.cn)
英文摘要The single functional differentiation of lianas and trees has been explored at both local and regional scales. Traits are not independent of each other, and the differentiation and integration of the multiple traits of lianas and trees under contrasting environments remain unclear. We used trait correlation networks to distinguish the topological relationships of multiple traits of lianas and trees in dry versus wet forests. We evaluated 17 plant traits of 16 liana and 16 tree species. Compared with trees, the trait networks of lianas were more modularized in both wet and dry forests, indicating that these fluctuating environments were less influential on lianas compared to trees. In the wet forest, economic traits showed higher connectedness in lianas whereas hydraulic traits were more connected in trees. Thus, it was cost-effective for plants to increase the connectivity of specific key traits when resource conditions were poor. The number and composition of trait modules varied with life form and environmental conditions, with alternative designs being common for plants to cope with their local environments. This study revealed plant adaptations can be improved through greater variation in trait correlations, providing new insights on why lianas are more abundant and diverse in highly seasonal forests.
资助项目National Natural Science Foundation of China[31988102] ; National Natural Science Foundation of China[31961143022] ; National Natural Science Foundation of China[32001186] ; China Postdoctoral Science Foundation[2020M680663] ; China Postdoctoral Science Foundation[2021M693147]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
出版者ELSEVIER
WOS记录号WOS:000761282000008
资助机构National Natural Science Foundation of China ; China Postdoctoral Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/171895]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Ying; He, Nianpeng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Congcong,Li, Ying,He, Nianpeng. Differential adaptation of lianas and trees in wet and dry forests revealed by trait correlation networks[J]. ECOLOGICAL INDICATORS,2022,135:7.
APA Liu, Congcong,Li, Ying,&He, Nianpeng.(2022).Differential adaptation of lianas and trees in wet and dry forests revealed by trait correlation networks.ECOLOGICAL INDICATORS,135,7.
MLA Liu, Congcong,et al."Differential adaptation of lianas and trees in wet and dry forests revealed by trait correlation networks".ECOLOGICAL INDICATORS 135(2022):7.

入库方式： OAI收割

来源：地理科学与资源研究所

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