首页> 中文期刊> 《大气科学进展:英文版》 >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

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

         

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 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.

著录项

  • 来源
    《大气科学进展:英文版》 |2021年第9期|1580-1595|共16页
  • 作者单位

    Key Laboratory of Water Cycle and Related Land Surface Processes;

    Institute of Geographic Sciences and Natural Resources Research;

    Chinese Academy of Sciences;

    Beijing 100101;

    China;

    College of Resources and Environment;

    University of Chinese Academy of Science;

    Beijing 100049;

    China;

    Key Laboratory of Regional Climate-Environment for Temperate East Asia;

    Institute of Atmospheric Physics;

    Chinese Academy of Sciences;

    Beijing 100029;

    China;

    National Ecosystem Science Data Center;

    Key Laboratory of Ecosystem Network Observation and Modeling;

    Institute of Geographic Sciences and Natural Resources Research;

    Chinese Academy of Sciences;

    Beijing 100101;

    China;

    State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau;

    Northwest A&F University;

    Shaanxi 712100;

    China;

    School of Life Sciences;

    University of Technology Sydney;

    Sydney 2007;

    NSW;

    Australia;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 海洋基础科学;
  • 关键词

    East China; Bayesian model averaging; Gross primary production; El Nino; Pacific Decadal Oscillation; Monsoon rainfall;

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