Response of Growing Season Gross Primary Production to El Nino in Different Phases of the Pacific Decadal Oscillation over Eastern China Based on Bayesian Model Averaging

作     者：Yueyue LI Li DAN Jing PENG Junbang WANG Fuqiang YANG Dongdong GAO Xiujing YANG Qiang YU Yueyue LI;Li DAN;Jing PENG;Junbang WANG;Fuqiang YANG;Dongdong GAO;Xiujing YANG;Qiang YU

作者机构：Key Laboratory of Water Cycle and Related Land Surface ProcessesInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Resources and EnvironmentUniversity of Chinese Academy of ScienceBeijing 100049China Key Laboratory of Regional Climate-Environment for Temperate East AsiaInstitute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China National Ecosystem Science Data CenterKey Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China State Key Laboratory of Soil Erosion and Dryland Farming on the Loess PlateauNorthwest A&F UniversityShaanxi 712100China School of Life SciencesUniversity of Technology SydneySydney 2007NSWAustralia 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2021年第38卷第9期

页      面：1580-1595页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：supported by the National Key Research and Development Program of China (Grant Nos.2016YFA0602501 and 2018YFA0606004) the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant Nos.XDA20040301 and XDA20020201) 

主　　题：East China Bayesian model averaging Gross primary production El Nino Pacific Decadal Oscillation Monsoon rainfall 

摘      要：Gross primary production(GPP) plays a crucial part in the carbon cycle of terrestrial ecosystems.A set of validated monthly GPP data from 1957 to 2010 in 0.5°× 0.5° grids of China was weighted from the Multi-scale Terrestrial Model Intercomparison Project using Bayesian model averaging(BMA).The spatial anomalies of detrended BMA GPP during the growing seasons of typical El Nino years indicated that GPP response to El Nino varies with Pacific Decadal Oscillation(PDO) phases: when the PDO was in the cool phase,it was likely that GPP was greater in northern China(32°–38°N,111°–122°E) and less in the Yangtze River valley(28°–32°N,111°–122°E);in contrast,when PDO was in the warm phase,the GPP anomalies were usually reversed in these two *** consistent spatiotemporal pattern and high partial correlation revealed that rainfall dominated this *** previously published findings on how El Nino during different phases of PDO affecting rainfall in eastern China make the statistical relationship between GPP and El Nino in this study theoretically *** paper not only introduces an effective way to use BMA in grids that have mixed plant function types,but also makes it possible to evaluate the carbon cycle in eastern China based on the prediction of El Nino and PDO.