生物
生态系统
生产力
特质
生态系统生态学
陆地生态系统
生态学
环境资源管理
航程(航空)
生态系统服务
比例(比率)
初级生产
环境科学
地理
地图学
宏观经济学
复合材料
经济
材料科学
程序设计语言
计算机科学
作者
Nianpeng He,Pu Yan,Congcong Liu,Li Xu,Mingxu Li,Koenraad Van Meerbeek,Guangsheng Zhou,Guoyi Zhou,Shirong Liu,Guiyao Zhou,Shenggong Li,Shuli Niu,Xingguo Han,Thomas N. Buckley,Lawren Sack,Guirui Yu
标识
DOI:10.1016/j.tplants.2022.08.015
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.
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