Application of the metabolic scaling theory and water-energy balance equation to model large-scale patterns of maximum forest canopy height

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• 作者：Sungho Choi ; Christopher P. Kempes ; Taejin Park ; Sangram Ganguly ; Weile Wang ; Liang Xu ; Saikat Basu ; Jennifer L. Dungan ; Marc Simard ; Sassan S. Saatchi ; Shilong Piao ; Xiliang Ni ; Yuli Shi ; Chunxiang Cao ; Ramakrishna R. Nemani ; Yuri Knyazikhin and Ranga B. Myneni
• 刊名：Global Ecology and Biogeography
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：25
• 期：12
• 页码：1428-1442
• 全文大小：1002K
• ISSN：1466-8238

文摘

Forest 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 forest heights, most previous studies adopted statistical approaches to help alleviate measured data discontinuity in space and time. Here, we document an improved modelling approach which links metabolic scaling theory and the water–energy balance equation with actual observations in order to produce large-scale patterns of forest heights.