气候变化领域集成服务门户(CCPortal): Large-scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands

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DOI	10.1002/2013JG002449
	Large-scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands
	He, Honglin; Liu, Min; Xiao, Xiangming; Ren, Xiaoli; Zhang, Li; Sun, Xiaomin; Yang, Yuanhe; Li, Yingnian; Zhao, Liang; Shi, Peili; Du, Mingyuan; Ma, Yaoming; Ma, Mingguo; Zhang, Yu; Yu, Guirui
通讯作者	Yu, GR (通讯作者)
发表日期	2014
ISSN	2169-8953
EISSN	2169-8961
起始页码	466
结束页码	486
卷号	119 期号:3
英文摘要	Gross primary production (GPP) is an important parameter for carbon cycle and climate change research. Previous estimations of GPP on the Tibetan Plateau were usually reported without quantitative uncertainty analyses. This study sought to quantify the uncertainty and its partitioning in GPP estimation across Tibetan alpine grasslands during 2003-2008 with the modified Vegetation Photosynthesis Model (VPM). Monte Carlo analysis was used to provide a quantitative assessment of the uncertainty in model simulations, and Sobol' variance decomposition method was applied to determine the relative contribution of each source of uncertainty to the total uncertainty. The results showed that the modified VPM successfully reproduced the seasonal dynamics and magnitude of GPP of 10 flux tower sites on the plateau (R-2=0.77-0.95, p < 0.001). The 6 year mean GPP in Tibetan alpine grasslands was estimated at 223.3 Tg C yr(-1) (312.3g C m(-2)yr(-1)). The mean annual GPP increased from western to eastern plateau, with the increase of annual temperature and precipitation and the decrease of elevation, while the decrease of GPP from southern to northern plateau was primarily driven by air temperature. Furthermore, the mean relative uncertainty of the annual GPP was 18.30%, with larger uncertainty occurring in regions with lower GPP. Photosynthetic active radiation, enhanced vegetation index, and the maximum light use efficiency (LUE) are the primary sources of uncertainty in GPP estimation, contributing 36.84%, 26.86%, and 21.99%, respectively. This emphasizes the importance of uncertainty in driving variables as well as that of maximum LUE in LUE model simulation.
关键词	LIGHT-USE-EFFICIENCY NET ECOSYSTEM EXCHANGE TERRESTRIAL ECOSYSTEMS SENSITIVITY-ANALYSIS DATA ASSIMILATION FLUX MEASUREMENTS COMBINING MODIS CO2 EXCHANGE TIME-SERIES MODEL
英文关键词	Tibetan alpine grasslands; Vegetation Photosynthesis Model (VPM); Eddy Covariance; Uncertainty analysis
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary
WOS记录号	WOS:000334534500020
来源期刊	JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258401
推荐引用方式 GB/T 7714	He, Honglin,Liu, Min,Xiao, Xiangming,et al. Large-scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands[J]. 中国科学院青藏高原研究所,2014,119(3).
APA	He, Honglin.,Liu, Min.,Xiao, Xiangming.,Ren, Xiaoli.,Zhang, Li.,...&Yu, Guirui.(2014).Large-scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,119(3).
MLA	He, Honglin,et al."Large-scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 119.3(2014).