Uncertainty analysis of CO_2 flux components in subtropical evergreen coniferous plantation
SUN XiaoMin1; WANG HuiMin1; LIU Min1; HE HongLin1; YU GuiRui1; LUO YiQi2
2009
Source PublicationScience in China. Series D: Earth Sciences
ISSN1006-9313
Volume52Issue:2Pages:257
AbstractWe present an uncertainty analysis of ecological process parameters and CO_2 flux components (R_(eco), NEE and gross ecosystem exchange (GEE)) derived from 3 years continuous eddy covariance meas-urements of CO_2 fluxes at subtropical evergreen coniferous plantation, Qianyanzhou of ChinaFlux. Daily-differencing approach was used to analyze the random error of CO_2 fluxes measurements and bootstrapping method was used to quantify the uncertainties of three CO_2 flux components. In addition, we evaluated different models and optimization methods in influencing estimation of key parameters and CO_2 flux components. The results show that: (1) Random flux error more closely follows a dou-ble-exponential (Laplace), rather than a normal (Gaussian) distribution. (2) Different optimization meth-ods 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%(176g C·m~(-2)·a~(-1)),34.33%(79g C·m~(-2)·a~(-1))and 5.4% (92g C·m~(-2)·a~(-1)),However,for a given parameter optimization method, e 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·m~(-2)·a~(-1)), 2.1% (5.7 g C·m~(-2)·a~(-1)), and 0.26% (4.3 g C·m~(-2)·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 CO_2 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.
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/85353
Collection生态系统网络观测与模拟院重点实验室_生态系统综合研究中心
Affiliation1.中国科学院地理科学与资源研究所
2.奥克拉荷马大学
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
SUN XiaoMin,WANG HuiMin,LIU Min,et al. Uncertainty analysis of CO_2 flux components in subtropical evergreen coniferous plantation[J]. Science in China. Series D: Earth Sciences,2009,52(2):257.
APA SUN XiaoMin,WANG HuiMin,LIU Min,HE HongLin,YU GuiRui,&LUO YiQi.(2009).Uncertainty analysis of CO_2 flux components in subtropical evergreen coniferous plantation.Science in China. Series D: Earth Sciences,52(2),257.
MLA SUN XiaoMin,et al."Uncertainty analysis of CO_2 flux components in subtropical evergreen coniferous plantation".Science in China. Series D: Earth Sciences 52.2(2009):257.
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