中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Global Validation of a Process-Based Model on Vegetation Gross Primary Production Using Eddy Covariance Observations

文献类型:期刊论文

作者Liu, Dan; Cai, Wenwen; Xia, Jiangzhou; Dong, Wenjie; Zhou, Guangsheng1,2; Chen, Yang; Zhang, Haicheng; Yuan, Wenping
刊名PLOS ONE
出版日期2014
卷号9期号:11
ISSN号1932-6203
DOI10.1371/journal.pone.0110407
文献子类Article
英文摘要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.
学科主题Multidisciplinary Sciences
出版地SAN FRANCISCO
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
语种英语
WOS记录号WOS:000344402600011
出版者PUBLIC LIBRARY SCIENCE
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
源URL[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).

入库方式: OAI收割

来源:植物研究所

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