Inverse analysis of coupled carbon-nitrogen cycles against multiple datasets at ambient and elevated CO_(2)

作     者：Zheng Shi Yuanhe Yang Xuhui Zhou Ensheng Weng Adrien C.Finzi Yiqi Luo 

作者机构：Department of Botany and MicrobiologyUniversity of OklahomaNormanOK 73019USA State Key Laboratory of Vegetation and Environmental ChangeInstitute of BotanyChinese Academy of SciencesBeijing 100093China Department of BiologyBoston UniversityBostonMA 02215USA 

出 版 物：《Journal of Plant Ecology》 (植物生态学报（英文版）)

年 卷 期：2016年第9卷第3期

页      面：285-295页

核心收录：

学科分类：0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0907[农学-林学] 08[工学] 0829[工学-林业工程] 09[农学] 0901[农学-作物学] 0902[农学-园艺学] 0713[理学-生态学] 

基　　金：financially supported by US National Science Foundation(NSF)(DEB 0743778,DEB 0840964,DBI 0850290 and EPS 0919466) Office of Science(BER) Department of Energy(DE-FG02-006ER64319) idwestern Regional Center of the National Institute for Climatic Change Research at Michigan Technological University(DE-FC02-06ER64158) 

主　　题：Bayesian probabilistic inversion carbon-nitrogen interactions carbon-nitrogen coupled model Duke FACE. 

摘      要：Aims Carbon(C)sequestration in terrestrial ecosystems is strongly regulated by nitrogen(N)***,key parameters that determine the degree of N regulation on terrestrial C sequestration have not been well *** Here,we used a Bayesian probabilistic inversion approach to estimate 14 target parameters related to ecosystem C and N interactions from 19 datasets obtained from Duke Forests under ambient and elevated carbon dioxide(CO_(2)).Important FindingsOur results indicated that 8 of the 14 target parameters,such as C:N ratios in most ecosystem compartments,plant N uptake and external N input,were well constrained by available datasets whereas the others,such as N allocation coefficients,N loss and the initial value of mineral N pool were poorly *** analysis showed that elevated CO_(2)led to the increases in C:N ratios in foliage,fine roots and ***,elevated CO_(2)stimulated plant N uptake and increased ecosystem N capital in Duke Forests by 25.2 and 8.5%,*** addition,elevated CO_(2)resulted in the decrease of C exit rates(*** in C residence times)in foliage,woody biomass,structural litter and passive soil organic matter,but the increase of C exit rate in fine *** results demonstrated that CO_(2)enrichment substantially altered key parameters in determining terrestrial C and N interactions,which have profound implications for model improvement and predictions of future C sequestration in terrestrial ecosystems in response to global change.