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原文連結
論文資訊
- 類型：已發表論文
- 日期：2019
摘要
Much ecological research aims to explain how 氣候 impacts 生物多樣性 and ecosystem-level processes through functional traits that link environment with individual performance. However, the specific climatic drivers of functional 多樣性 across space and time remain unclear due largely to limitations in the availability of paired trait and 氣候 data. We compile and analyze a global 森林 dataset using a method based on abundance-weighted trait moments to assess how 氣候 influences the shapes of whole-community trait distributions. Our approach combines abundance-weighted metrics with diverse 氣候 factors to produce a comprehensive catalog of trait-氣候 relationships that differ dramatically-27% of significant results change in sign and 71% disagree on sign, significance, or both-from traditional 物種-weighted meth
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