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Leaf trait network architecture shifts with species-richness and climate across forests at continental scale

文献类型：期刊论文

作者Li, Ying5,6; Liu, Congcong3,6; Sack, Lawren2; Xu, Li6; Li, Mingxu6; Zhang, Jiahui3,6; He, Nianpeng1,3,4,6
刊名ECOLOGY LETTERS
出版日期2022-04-09
卷号25页码:1442-1457
关键词adaptation community forest leaf trait network network photosynthesis trait
ISSN号1461-023X
DOI10.1111/ele.14009
英文摘要Variation in the architecture of trait networks among ecosystems has been rarely quantified, but can provide high resolution of the contrasting adaptation of the whole phenotype. We constructed leaf trait networks (LTNs) from 35 structural, anatomical and compositional leaf traits for 394 tree species in nine forests from tropical to cold-temperate zones in China. Our analyses supported the hypothesis that LTNs would increase in modular complexity across forests in parallel with species-richness and climatic warmth and moisture, due to reduced phenotypic constraints and greater opportunities for niche differentiation. Additionally, we found that within LTNs, leaf economics traits including leaf thickness would have central importance, acting as hub traits with high connectivity due to their contributions to multiple functions. Across the continent, the greater species richness and trait diversity observed in forests under resource-rich climates enable greater complexity in whole phenotype structure and function as indicated by the trait network architecture.
WOS关键词ECONOMICS SPECTRUM ; HYDRAULIC TRAITS ; GLOBAL PATTERNS ; PLANT TRAITS ; DIMENSIONS ; DATABASE ; LEAVES ; TRY
资助项目National Natural Science Foundation of China[31988102] ; National Natural Science Foundation of China[42141004] ; National Natural Science Foundation of China[32171544] ; National Science and Technology[2019FY101300] ; China Postdoctoral Science Foundation[2020M680663] ; China Postdoctoral Science Foundation[2021M693147]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000779752700001
出版者WILEY
资助机构National Natural Science Foundation of China ; National Science and Technology ; China Postdoctoral Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/173731]  
专题生态系统网络观测与模拟院重点实验室_外文论文
作者单位1.Northeast Normal Univ, Inst Grassland Sci, Changchun, Peoples R China
2.Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA USA
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Minist Educ, Key Lab Vegetat Ecol, Changchun, Peoples R China
5.Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Li, Ying,Liu, Congcong,Sack, Lawren,et al. Leaf trait network architecture shifts with species-richness and climate across forests at continental scale[J]. ECOLOGY LETTERS,2022,25:1442-1457.
APA Li, Ying.,Liu, Congcong.,Sack, Lawren.,Xu, Li.,Li, Mingxu.,...&He, Nianpeng.(2022).Leaf trait network architecture shifts with species-richness and climate across forests at continental scale.ECOLOGY LETTERS,25,1442-1457.
MLA Li, Ying,et al."Leaf trait network architecture shifts with species-richness and climate across forests at continental scale".ECOLOGY LETTERS 25(2022):1442-1457.

入库方式： OAI收割

来源：地理科学与资源研究所

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