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原文連結
論文資訊
- 類型:已發表論文
- 日期:2016-08-18
摘要
Aim森林 height, an important biophysical property, underlies the distribution of carbon stocks across scales. Because in situ observations are labour intensive and thus impractical for large-scale mapping and monitoring of 森林 heights, most previous studies adopted 統計 approaches to help alleviate measured data discontinuity in space and time. Here, we document an improved modelling approach which links metabolic 縮放律 theory and the water-energy balance equation with actual observations in order to produce large-scale patterns of 森林 heights. MethodsOur model, called allometric 縮放律 and resource limitations (ASRL), accounts for the size-dependent 代謝 of trees whose maximum growth is constrained by local resource availability. Geospatial predictors used in the model are altitude and monthly precipi
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