Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation

文献类型: 外文期刊

第一作者: He, Nianpeng

作者: He, Nianpeng;Li, Ying;Liu, Congcong;Xu, Li;Li, Mingxu;Zhang, Jiahui;Niu, Shuli;Li, Shenggong;Yu, Guirui;He, Nianpeng;Liu, Congcong;Zhang, Jiahui;Yu, Guirui;He, Nianpeng;Sun, Wei;Li, Ying;He, Jinsheng;Tang, Zhiyao;He, Jinsheng;Tang, Zhiyao;Han, Xingguo;Ye, Qing;Xiao, Chunwang;Yu, Qiang;Liu, Shirong;Sack, Lawren

作者机构:

期刊名称:TRENDS IN ECOLOGY & EVOLUTION ( 影响因子:17.712; 五年影响因子:20.691 )

ISSN: 0169-5347

年卷期: 2020 年 35 卷 10 期

页码:

收录情况: SCI

摘要: Functional traits are frequently used to evaluate plant adaptation across environments. Yet, traits tend to have multiple functions and interactions, which cannot be accounted for in traditional correlation analyses. Plant trait networks (PTNs) clarify complex relationships among traits, enable the calculation of metrics for the topology of trait coordination and the importance of given traits in PTNs, and how they shift across communities. Recent studies of PTNs provide new insights into some important topics, including trait dimensionality, trait spectra (including the leaf economic spectrum), stoichiometric principles, and the variation of phenotypic integration along gradients of resource availability. PTNs provide improved resolution of the multiple dimensions of plant adaptation across scales and responses to shifting resources, disturbance regimes, and global change.

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