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

doi:10.1007/s00376-021-0265-1

	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
	Li, Yueyue 1,2; Dan, Li 3; Peng, Jing 3; Wang, Junbang 4; Yang, Fuqiang 3; Gao, Dongdong 3; Yang, Xiujing 3; Yu, Qiang 1,5,6
刊名	ADVANCES IN ATMOSPHERIC SCIENCES
	2021-09-01
卷号	38 期号:9 页码:1580-1595
关键词	East China Bayesian model averaging Gross primary production El Nino Pacific Decadal Oscillation Monsoon rainfall
ISSN号	0256-1530
DOI	10.1007/s00376-021-0265-1
通讯作者	Dan, Li(danli@tea.ac.cn) ; Yu, Qiang(yuq@nwafu.edu.cn)
英文摘要	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 degrees x 0.5 degrees 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 degrees-38 degrees N, 111 degrees-122 degrees E) and less in the Yangtze River valley (28 degrees-32 degrees N, 111 degrees-122 degrees E); in contrast, when PDO was in the warm phase, the GPP anomalies were usually reversed in these two regions. The consistent spatiotemporal pattern and high partial correlation revealed that rainfall dominated this phenomenon. The 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 credible. This 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.
WOS关键词	ASIAN SUMMER MONSOON ; PROGRAM MULTISCALE SYNTHESIS ; INTERCOMPARISON PROJECT ; INTERANNUAL VARIABILITY ; TERRESTRIAL GROSS ; NORTH CHINA ; CARBON ; PRECIPITATION ; PART ; ECOSYSTEMS
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000678997700012
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/164769]
专题	中国科学院地理科学与资源研究所
通讯作者	Dan, Li; Yu, Qiang
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Temperate East Asia, Beijing 100029, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Natl Ecosyst Sci Data Ctr, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 5.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess, Xianyang 712100, Shaanxi, Peoples R China 6.Univ Technol Sydney, Sch Life Sci, Sydney, NSW 2007, Australia
推荐引用方式 GB/T 7714	Li, Yueyue,Dan, Li,Peng, Jing,et al. 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[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2021,38(9):1580-1595.
APA	Li, Yueyue.,Dan, Li.,Peng, Jing.,Wang, Junbang.,Yang, Fuqiang.,...&Yu, Qiang.(2021).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.ADVANCES IN ATMOSPHERIC SCIENCES,38(9),1580-1595.
MLA	Li, Yueyue,et al."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".ADVANCES IN ATMOSPHERIC SCIENCES 38.9(2021):1580-1595.