Optimizing photosynthetic and respiratory parameters based on the seasonal variation pattern in regional net ecosystem productivity obtained from atmospheric inversion  

作　　者：Zhuoqi Chen Jing M.Chen Xiaogu Zheng Fei Jiang Jun Qin Shupeng Zhang Wenping Yuan Weiming Ju Gang Mo 

机构地区：[1]College of Global Change and Earth System Science, Beijing Normal University [2]International Institute for Earth System Science, Nanjing University [3]Department of Geography and Program in Planning, University of Toronto [4]Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research,Chinese Academy of Sciences

出　　处：《Science Bulletin》2015年第22期1954-1961,共8页科学通报（英文版）

基　　金：supported by the National Basic Research Program of China(2010CB950703);the National Natural Science Foundation of China(41571338)

摘　　要：In this study, we explore the feasibility of optimizing ecosystem photosynthetic and respiratory parameters from the seasonal variation of the net carbon flux. An optimization scheme is proposed to estimate two key parameters （V2max and Q10） by exploiting the seasonal variation in the net ecosystem carbon flux retrieved by an atmospheric inversion system. This scheme is implemented to estimate V25max and Q10 of the boreal ecosystem productivity simulator （BEPS） to improve its NEP simulation in the boreal North American region. Then, in situ NEE observations at six eddy covariance sites are used to evaluate the NEE simulations from BEPS with initial and optimized parameters. The results show that the performance of the optimized BEPS is superior to that of the BEPS with the default parameter values. These results implicate that it is possible to optimize ecosystem model parameters by different sensitivities of V25max and Q10 during growing and non-growing seasons through atmospheric inversion or data assimilation techniques.In this study, we explore the feasibility of optimizing ecosystem photosynthetic and respiratory parameters from the seasonal variation of the net carbon flux. An optimization scheme is proposed to estimate two key parameters(Vmax25and Q10) by exploiting the seasonal variation in the net ecosystem carbon flux retrieved by an atmospheric inversion system. This scheme is implemented to estimate Vmax25 and Q10of the boreal ecosystem productivity simulator(BEPS) to improve its NEP simulation in the boreal North American region. Then, in situ NEE observations at six eddy covariance sites are used to evaluate the NEE simulations from BEPS with initial and optimized parameters. The results show that the performance of the optimized BEPS is superior to that of the BEPS with the default parameter values. These results implicate that it is possible to optimize ecosystem model parameters by different sensitivities of Vmax25 and Q10during growing and non-growing seasons through atmospheric inversion or data assimilation techniques.

关 键 词：Parameter optimization Land surfacemodel CO2 concentration measurements - NEP 

分 类 号：Q948[生物学—植物学]