Repository of Institute of Geographic Sciences and Natural Resources Research
| Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation | |
He, Nianpeng1,2,3 ; Li, Ying1,4; Liu, Congcong1,2; Xu, Li1; Li, Mingxu1; Zhang, Jiahui1,2; He, Jinsheng5,6; Tang, Zhiyao5,6; Han, Xingguo7; Ye, Qing8; Xiao, Chunwang9; Yu, Qiang10; Liu, Shirong11; Sun, Wei3; Niu, Shuli1; Li, Shenggong1; Sack, Lawren12; Yu, Guirui1,2
| |
| 2020-10-01 | |
| Source Publication | TRENDS IN ECOLOGY & EVOLUTION (IF:14.764[JCR-2019],18.601[5-Year]) |
| ISSN | 0169-5347 |
| Volume | 35Issue:10Pages:908-918 |
| Abstract | 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. |
| WOS Keyword | LEAF ECONOMICS ; FUNCTIONAL TRAITS ; HYDRAULIC TRAITS ; TRADE-OFFS ; SPECTRUM ; STRATEGIES ; TOLERANCE ; EVOLUTION ; TRANSPORT ; ECOLOGY |
| DOI | 10.1016/j.tree.2020.06.003 |
| Indexed By | SCI |
| Language | 英语 |
| WOS Research Area | Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity |
| WOS Subject | Ecology ; Evolutionary Biology ; Genetics & Heredity |
| WOS ID | WOS:000573227700014 |
| Funding Project | National Natural Science Foundation of China[31988102] ; National Natural Science Foundation of China[3191101545] ; National Natural Science Foundation of China[31800368] ; National Natural Science Foundation of China[31770655] ; Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK060602] ; Chinese Academy of Sciences Strategic Priority Research Program[XDA23080401] ; Chinese Academy of Sciences Strategic Priority Research Program[XDA19020302] ; Youth Innovation Research Project from Key Laboratory of Ecosystem Network Observation and Modeling, CAS ; US National Science Foundation[1457279] ; US National Science Foundation[1951244] |
| Funding Organization | National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program ; Chinese Academy of Sciences Strategic Priority Research Program ; Youth Innovation Research Project from Key Laboratory of Ecosystem Network Observation and Modeling, CAS ; US National Science Foundation |
| Publisher | ELSEVIER SCIENCE LONDON |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.igsnrr.ac.cn/handle/311030/156981 |
| Collection | 中国科学院地理科学与资源研究所 |
| Affiliation | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 3.Northeast Normal Univ, Key Lab Vegetat Ecol, Minist Educ, Changchun, Peoples R China 4.Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing, Peoples R China 5.Peking Univ, Coll Urban & Environm Sci, Dept Ecol, Beijing, Peoples R China 6.Peking Univ, Key Lab Earth Surface Proc, Minist Educ, Beijing, Peoples R China 7.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China 8.Chinese Acad Sci, Key Lab Vegetat Restorat & Management Degraded Ec, South China Bot Garden, Guangzhou, Peoples R China 9.Minzu Univ China, Coll Life & Environm Sci, Beijing, Peoples R China 10.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Natl Hulunber Grassland Ecosyst Observat & Res St, Beijing, Peoples R China 11.Chinese Acad Forestry, Key Lab Forest Ecol & Environm, Chinas State Forestry Adm, Inst Forest Ecol Environm & Protect, Beijing, Peoples R China 12.Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA 90095 USA |
| Recommended Citation GB/T 7714 | He, Nianpeng,Li, Ying,Liu, Congcong,et al. Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation[J]. TRENDS IN ECOLOGY & EVOLUTION,2020,35(10):908-918. |
| APA | He, Nianpeng.,Li, Ying.,Liu, Congcong.,Xu, Li.,Li, Mingxu.,...&Yu, Guirui.(2020).Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation.TRENDS IN ECOLOGY & EVOLUTION,35(10),908-918. |
| MLA | He, Nianpeng,et al."Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation".TRENDS IN ECOLOGY & EVOLUTION 35.10(2020):908-918. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| HeNP2020.pdf（2016KB） | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | View Application Full Text | |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment