中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Predicting ecosystem productivity based on plant community traits

文献类型:期刊论文

作者He, Nianpeng; Yan, Pu; Liu, Congcong; Xu, Li; Li, Mingxu; Van Meerbeek, Koenraad; Zhou, Guangsheng; Zhou, Guoyi; Liu, Shirong; Zhou, Xuhui
刊名TRENDS IN PLANT SCIENCE
出版日期2023
卷号28期号:1页码:43-53
ISSN号1360-1385
DOI10.1016/j.tplants.2022.08.015
文献子类Review
英文摘要With the rapid accumulation of plant trait data, major opportunities have arisen for the integration of these data into predicting ecosystem primary productivity across a range of spatial extents. Traditionally, traits have been used to explain physiological productivity at cell, organ, or plant scales, but scaling up to the ecosystem scale has remained challenging. Here, we show the need to combine measures of community-level traits and environmental factors to predict ecosystem productivity at landscape or biogeographic scales. We show how theory can extend the production ecology equation to enormous potential for integrating traits into ecological models that estimate productivity-related ecosystem functions across ecological scales and to anticipate the response of terrestrial ecosystems to global change.
WOS关键词CLIMATE-CHANGE ; LEAF TRAITS ; BIG-LEAF ; NITROGEN ; CO2 ; PHOTOSYNTHESIS ; STOICHIOMETRY ; EFFICIENCY ; GROWTH ; LEVEL
WOS研究方向Plant Sciences
WOS记录号WOS:000923202700001
出版者ELSEVIER SCIENCE LONDON
源URL[http://ir.igsnrr.ac.cn/handle/311030/189849]  
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.Nanjing University of Information Science & Technology
2.Chinese Academy of Forestry
3.Research Institute of Forest Ecology, Environment and Protection, CAF
4.East China Normal University
5.Institute of Botany, CAS
6.University of California System
7.University of California Davis
8.University of California Los Angeles
9.Institute of Geographic Sciences & Natural Resources Research, CAS
10.University of Chinese Academy of Sciences, CAS
推荐引用方式
GB/T 7714
He, Nianpeng,Yan, Pu,Liu, Congcong,et al. Predicting ecosystem productivity based on plant community traits[J]. TRENDS IN PLANT SCIENCE,2023,28(1):43-53.
APA He, Nianpeng.,Yan, Pu.,Liu, Congcong.,Xu, Li.,Li, Mingxu.,...&Yu, Guirui.(2023).Predicting ecosystem productivity based on plant community traits.TRENDS IN PLANT SCIENCE,28(1),43-53.
MLA He, Nianpeng,et al."Predicting ecosystem productivity based on plant community traits".TRENDS IN PLANT SCIENCE 28.1(2023):43-53.

入库方式: OAI收割

来源:地理科学与资源研究所

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