Uncertainty analysis of CO2 flux components in subtropical evergreen coniferous plantation

CORC > 地理科学与资源研究所 > 中国科学院地理科学与资源研究所 > 生态系统研究网络观测与模拟重点实验室 > CERN水分分中心

	Uncertainty analysis of CO2 flux components in subtropical evergreen coniferous plantation
	Liu Min 1,2,3; He HongLin 1; Yu GuiRui 1; Luo YiQi 4; Sun XiaoMin 1; Wang HuiMin 1
刊名	SCIENCE IN CHINA SERIES D-EARTH SCIENCES
	2009-02-01
卷号	52 期号:2 页码:257-268
关键词	Co2 Flux Components Statistical Uncertainty Analysis Bootstrapping Method Subtropical Evergreen Coniferous Plantation Qianyanzhou
文献子类	Article
英文摘要	We present an uncertainty analysis of ecological process parameters and CO2 flux components (R (eco), NEE and gross ecosystem exchange (GEE)) derived from 3 years' continuous eddy covariance measurements of CO2 fluxes at subtropical evergreen coniferous plantation, Qianyanzhou of ChinaFlux. Daily-differencing approach was used to analyze the random error of CO2 fluxes measurements and bootstrapping method was used to quantify the uncertainties of three CO2 flux components. In addition, we evaluated different models and optimization methods in influencing estimation of key parameters and CO2 flux components. The results show that: (1) Random flux error more closely follows a double-exponential (Laplace), rather than a normal (Gaussian) distribution. (2) Different optimization methods result in different estimates of model parameters. Uncertainties of parameters estimated by the maximum likelihood estimation (MLE) are lower than those derived from ordinary least square method (OLS). (3) The differences between simulated R-eco, NEE and GEE derived from MLE and those derived from OLS are 12.18% (176 g C center dot m(-2)center dot a(-1)), 34.33% (79 g C center dot m(-2)center dot a(-1)) and 5.4% (92 g C center dot m(-2)center dot a(-1)). However, for a given parameter optimization method, a temperature-dependent model (T_model) and the models derived from a temperature and water-dependent model (TW_model) are 1.31% (17.8 g C center dot m(-2)center dot a(-1)), 2.1% (5.7 g C center dot m(-2)center dot a(-1)), and 0.26% (4.3 g C center dot m(-2)center dot a(-1)), respectively, which suggested that the optimization methods are more important than the ecological models in influencing uncertainty in estimated carbon fluxes. (4) The relative uncertainty of CO2 flux derived from OLS is higher than that from MLE, and the uncertainty is related to timescale, that is, the larger the timescale, the smaller the uncertainty. The relative uncertainties of R-eco, NEE and GEE are 4%-8%, 7%-22% and 2%-4% respectively at annual timescale.
WOS关键词	EDDY COVARIANCE MEASUREMENTS ; SOIL RESPIRATION ; CARBON ; FOREST ; TEMPERATURE ; DEPENDENCE ; EXCHANGE ; MODELS
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000262684300012
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/67953]
专题	地理科学与资源研究所_生态系统研究网络观测与模拟重点实验室_CERN水分分中心
通讯作者	He HongLin
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Gradute Sch, Beijing 100049, Peoples R China 3.Nanjing Normal Univ, Sch Geog Sci, Nanjing 210097, Peoples R China 4.Univ Oklahoma, Dept Bot & Microbiol, Norman, OK 73019 USA
推荐引用方式 GB/T 7714	Liu Min,He HongLin,Yu GuiRui,et al. Uncertainty analysis of CO2 flux components in subtropical evergreen coniferous plantation[J]. SCIENCE IN CHINA SERIES D-EARTH SCIENCES,2009,52(2):257-268.
APA	Liu Min,He HongLin,Yu GuiRui,Luo YiQi,Sun XiaoMin,&Wang HuiMin.(2009).Uncertainty analysis of CO2 flux components in subtropical evergreen coniferous plantation.SCIENCE IN CHINA SERIES D-EARTH SCIENCES,52(2),257-268.
MLA	Liu Min,et al."Uncertainty analysis of CO2 flux components in subtropical evergreen coniferous plantation".SCIENCE IN CHINA SERIES D-EARTH SCIENCES 52.2(2009):257-268.