Uncertainty analysis of CO2 flux components in subtropical evergreen coniferous plantation
文献类型：期刊论文
| 作者 | Liu Min1,2,3; He HongLin1 ; Yu GuiRui1; Luo YiQi4; Sun XiaoMin1; Wang HuiMin1
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| 刊名 | SCIENCE IN CHINA SERIES D-EARTH SCIENCES
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000262684300012 |
| 出版者 | SCIENCE PRESS |
| 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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