Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.tree.2018.11.004 |
Ecosystem Traits Linking Functional Traits to Macroecology | |
He, Nianpeng1,2; Liu, Congcong1,2; Piao, Shilong3; Sack, Lawren4; Xu, Li1; Luo, Yiqi5; He, Jinsheng3; Han, Xingguo6; Zhou, Guangsheng7; Zhou, Xuhui8; Lin, Yi9; Yu, Qiang10; Liu, Shirong11; Sun, Wei12; Niu, Shuli1; Li, Shenggong1; Zhang, Jiahui1; Yu, Guirui1,2 | |
2019-03-01 | |
发表期刊 | TRENDS IN ECOLOGY & EVOLUTION
![]() |
ISSN | 0169-5347 |
EISSN | 1872-8383 |
出版年 | 2019 |
卷号 | 34期号:3页码:200-210 |
文章类型 | Review |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | As the range of studies on macroecology and functional traits expands, integration of traits into higher-level approaches offers new opportunities to improve clarification of larger-scale patterns and their mechanisms and predictions using models. Here, we propose a framework for quantifying 'ecosystem traits' and means to address the challenges of broadening the applicability of functional traits to macroecology. Ecosystem traits are traits or quantitative characteristics of organisms (plants, animals, and microbes) at the community level expressed as the intensity (or density) normalized per unit land area. Ecosystem traits can inter-relate and integrate data from field trait surveys, eddy-flux observation, remote sensing, and ecological models, and thereby provide new resolution of the responses and feedback at regional to global scale. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000459899000010 |
WOS关键词 | LEAF CHLOROPHYLL CONTENT ; COLD-TEMPERATE FORESTS ; N-P STOICHIOMETRY ; PLANT ; TERRESTRIAL ; ASSOCIATION ; VARIABILITY ; PREDICTION ; WORLDWIDE ; CLIMATE |
WOS类目 | Ecology ; Evolutionary Biology ; Genetics & Heredity |
WOS研究方向 | Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/28574 |
专题 | 资源环境科学 |
作者单位 | 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.Peking Univ, Coll Urban & Environm Sci, Dept Ecol, Beijing, Peoples R China; 4.Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA USA; 5.Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA; 6.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China; 7.Chinese Acad Meteorol Sci, Beijing, Peoples R China; 8.East China Normal Univ, Sch Ecol & Environm Sci, Shanghai, Peoples R China; 9.Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & GIS, 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, Inst Forest Ecol Environm & Protect, Chinas State Forestry Adm, Key Lab Forest Ecol & Environm, Beijing, Peoples R China; 12.Northeast Normal Univ, Minist Educ, Key Lab Vegetat Ecol, Changchun, Jilin, Peoples R China |
推荐引用方式 GB/T 7714 | He, Nianpeng,Liu, Congcong,Piao, Shilong,et al. Ecosystem Traits Linking Functional Traits to Macroecology[J]. TRENDS IN ECOLOGY & EVOLUTION,2019,34(3):200-210. |
APA | He, Nianpeng.,Liu, Congcong.,Piao, Shilong.,Sack, Lawren.,Xu, Li.,...&Yu, Guirui.(2019).Ecosystem Traits Linking Functional Traits to Macroecology.TRENDS IN ECOLOGY & EVOLUTION,34(3),200-210. |
MLA | He, Nianpeng,et al."Ecosystem Traits Linking Functional Traits to Macroecology".TRENDS IN ECOLOGY & EVOLUTION 34.3(2019):200-210. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论