全球FLUXNET站点总初级生产力的年际变化及其主导因子解析
DOI:
作者:
作者单位:

1.南京信息工程大学 江苏省大气环境监测与污染控制高技术研究重点实验室/大气环境与装备技术协同创新中心/环境科学与工程学院;2.中国科学院大气物理研究所 中国科学院气候变化研究中心

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Interannual variability of gross primary productivity at global FLUXNET sites and its driving factors
Author:
Affiliation:

1.Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environmental Technology, School of Environmental Science and Engineering, Nanjing University of Information Science &2.Technology (NUIST), Nanjing 210044, China;3.Climate Change Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    基于耶鲁互动生物圈模式(YIBs),结合FLUXNET网络中观测时间超过8年的站点的观测数据,本研究对不同气象因子影响下总初级生产力(GPP)的年际变化进行分析,探讨各植被类型GPP年际变化的主要驱动因子。结果表明,光合有效辐射的变化是落叶阔叶林和常绿针叶林站点GPP年际变化的主要驱动因子,贡献了这些森林类型年际变率的80%。相对湿度变化是作物站点GPP年际变化的主要驱动因子,贡献了作物GPP年际变率的65%。温度是灌木丛站点GPP年际变率的重要因子,尽管其贡献率偏低。草原站点GPP年际变化的不确定性较大,没有统一的主导因子。研究结果表明,气象要素是全球陆地GPP年际变化的主导因素。在未来气候变化背景下,极端气候事件频发可能会进一步增加GPP的年际变率。

    Abstract:

    Using the Yale Interactive Biosphere (YIBs) model, as well as the data from the FLUXNET sites with measurement records longer than 8 years, this study examines the impacts of multiple meteorological variables on the interannual variability of gross primary productivity (GPP), and identifies the dominant drivers of GPP variability for different plant functional types. The results showed that the change in photosynthetically active radiation is the main driving factor of GPP interannual variability for deciduous broadleaf forests and evergreen needleleaf forests, contributing 80% of the variability for these forest types. The change of relative humidity is the main driving factor of the GPP interannual variability for cropland, contributing 65% of its GPP variability. Temperature is an important factor for shrubland, though its contribution rate is moderate. The GPP interannual variability of grassland shows large uncertainties among sites without uniform driving factors. Our results show that meteorological variables are the dominant drivers for the interannual variability of global terrestrial GPP. With the future climate change, more frequent climate extremes may further increase the GPP interannual variability.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2020-09-13
  • 最后修改日期:2020-10-20
  • 录用日期:2020-10-28
  • 在线发布日期:
  • 出版日期:

地址:江苏南京,宁六路219号,南京信息工程大学    邮编:210044

联系电话:025-58731158    E-mail:xbbjb@nuist.edu.cn    QQ交流群号:344646895

大气科学学报 ® 2021 版权所有  技术支持:北京勤云科技发展有限公司