A two-leaf rectangular hyperbolic model for estimating GPP across vegetation types and climate conditions

Journal of Geophysical Research: Biogeosciences

Volumn 119, Issue 7, 2014, Pages 1385-1398

  Wang, Fumin ^a   Chen, Jing M ^b   Gonsamo, Alemu ^b   Zhou, Bin ^c   Cao, Feifeng ^d   Yi, Qiuxiang ^e  

^a ZHEJIANG UNIVERSITY   (China)

^b UNIVERSITY OF TORONTO   (Canada)

^c HANGZHOU NORMAL UNIVERSITY   (China)

^d ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

^e XINJIANG INSTITUTE OF ECOLOGY AND GEOGRAPHY   (China)

Author keywords

A two leaf rectangular hyperbolic model (RHM) for GPP estimation was developed; RHM has the potentials of simplicity as LUE model and accuracy as process model; The two parameters of the modified RHM vary with temperature and vegetation type

Indexed keywords

CLIMATE CONDITIONS; EDDY COVARIANCE; ESTIMATION METHOD; LEAF; LIGHT USE EFFICIENCY; MODEL VALIDATION; PRIMARY PRODUCTION; SIMULATION; TEMPERATURE PROFILE; VEGETATION TYPE;

EID: 84975095135     PISSN: 21698953     EISSN: 21698961     Source Type: Journal    
DOI: 10.1002/2013JG002596     Document Type: Article

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