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Uncertainty analysis of CO2 flux components in subtropical evergreen coniferous plantation
Liu Min1,2,3; He HongLin1; Yu GuiRui1; Luo YiQi4; Sun XiaoMin1; Wang HuiMin1
2009-02-01
Source PublicationSCIENCE IN CHINA SERIES D-EARTH SCIENCES
Volume52Issue:2Pages:257-268
AbstractWe 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.
SubtypeArticle
KeywordCo2 Flux Components Statistical Uncertainty Analysis Bootstrapping Method Subtropical Evergreen Coniferous Plantation Qianyanzhou
WOS HeadingsScience & Technology ; Physical Sciences
WOS Subject ExtendedGeology
WOS KeywordEDDY COVARIANCE MEASUREMENTS ; SOIL RESPIRATION ; CARBON ; FOREST ; TEMPERATURE ; DEPENDENCE ; EXCHANGE ; MODELS
Indexed BySCI
Language英语
WOS SubjectGeosciences, Multidisciplinary
WOS IDWOS:000262684300012
PublisherSCIENCE PRESS
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/67954
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHe HongLin
Affiliation1.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
Recommended Citation
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.
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