Global Validation of a Process-Based Model on Vegetation Gross Primary Production Using Eddy Covariance Observations

doi:10.1371/journal.pone.0110407

	Global Validation of a Process-Based Model on Vegetation Gross Primary Production Using Eddy Covariance Observations
	Liu, Dan ; Cai, Wenwen ; Xia, Jiangzhou ; Dong, Wenjie ; Zhou, Guangsheng 1,2; Chen, Yang ; Zhang, Haicheng ; Yuan, Wenping
	2014
发表期刊	PLOS ONE
ISSN	1932-6203
卷号	9 期号:11
摘要	Gross Primary Production (GPP) is the largest flux in the global carbon cycle. However, large uncertainties in current global estimations persist. In this study, we examined the performance of a process-based model (Integrated BIosphere Simulator, IBIS) at 62 eddy covariance sites around the world. Our results indicated that the IBIS model explained 60% of the observed variation in daily GPP at all validation sites. Comparison with a satellite-based vegetation model (Eddy Covariance-Light Use Efficiency, EC-LUE) revealed that the IBIS simulations yielded comparable GPP results as the EC-LUE model. Global mean GPP estimated by the IBIS model was 107.50 +/- 1.37 Pg C year (-1) (mean value +/- standard deviation) across the vegetated area for the period 2000-2006, consistent with the results of the EC-LUE model (109.39 +/- 1.48 Pg C year (-1)). To evaluate the uncertainty introduced by the parameter V-cmax, which represents the maximum photosynthetic capacity, we inversed V-cmax using Markov Chain-Monte Carlo (MCMC) procedures. Using the inversed V-cmax values, the simulated global GPP increased by 16.5 Pg C year (-1), indicating that IBIS model is sensitive to V-cmax, and large uncertainty exists in model parameterization.
学科领域	Multidisciplinary Sciences
DOI	10.1371/journal.pone.0110407
收录类别	SCI
语种	英语
WOS关键词	NET ECOSYSTEM EXCHANGE ; PARAMETER-ESTIMATION ; TERRESTRIAL GROSS ; SEASONAL DROUGHT ; CARBON-DIOXIDE ; WATER ; FOREST ; PHOTOSYNTHESIS ; UNCERTAINTY ; PATTERNS
WOS研究方向	Science & Technology - Other Topics
WOS记录号	WOS:000344402600011
出版者	PUBLIC LIBRARY SCIENCE
文献子类	Article
出版地	SAN FRANCISCO
资助机构	National Science Foundation for Excellent Young Scholars of China [41322005] ; National High Technology Research and Development Program of China (863 Program) [2013AA122003] ; National Natural Science Foundation of China [41201078] ; Program for New Century Excellent Talents in University [NCET-32212-0060] ; Fundamental Research Funds for the Central Universities
作者邮箱	wenpingyuancn@yahoo.com
作品OA属性	Green Published, gold, Green Submitted
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/27341
专题	植被与环境变化国家重点实验室
作者单位	1.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China 3.Chinese Acad Meteorol Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Liu, Dan,Cai, Wenwen,Xia, Jiangzhou,et al. Global Validation of a Process-Based Model on Vegetation Gross Primary Production Using Eddy Covariance Observations[J]. PLOS ONE,2014,9(11).
APA	Liu, Dan.,Cai, Wenwen.,Xia, Jiangzhou.,Dong, Wenjie.,Zhou, Guangsheng.,...&Yuan, Wenping.(2014).Global Validation of a Process-Based Model on Vegetation Gross Primary Production Using Eddy Covariance Observations.PLOS ONE,9(11).
MLA	Liu, Dan,et al."Global Validation of a Process-Based Model on Vegetation Gross Primary Production Using Eddy Covariance Observations".PLOS ONE 9.11(2014).

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