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The comparing study of net primary production in China

  • Zhiqiang Gao*
  • , Xiaoming Cao
  • , Maosi Chen
  • , Wei Gao
  • *此作品的通讯作者
  • CAS - Institute of Geographical Sciences and Natural Resources Research
  • East China Normal University
  • Colorado State University
  • Chinese Academy of Sciences
  • University of Chinese Academy of Sciences

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Spatial and temporal distribution of vegetation net primary production (NPP) in China was studied using three light-use efficiency models (CASA, GLOPEM and GEOLUE) and two mechanistic ecological process models (CEVSA GEOPRO). Based on spatial and temporal analysis (e.g. monthly, seasonally and annually) of simulated results from ecological process mechanism models of CASA, GLOPEM, and CEVSA, the following conclusions could be made: (1) during the last 20 years, NPP change in China is followed closely by the seasonal change of climate affected by the monsoon with an overall trend of increasing. (2) Average annual NPP in China was 2.864±1GtC. All five models were able to simulate spatial features of biomass for different ecological types in China. This paper provides a baseline for China's total biomass production. It also offers a means of estimating the NPP change due to afforestation, reforestation, conservation and other human activities and could aid people in using for-mentioned carbon sinks to fulfill China's commitment of reducing greenhouse gases.

源语言英语
主期刊名Remote Sensing and Modeling of Ecosystems for Sustainability V
DOI
出版状态已出版 - 2008
活动Remote Sensing and Modeling of Ecosystems for Sustainability V - San Diego, CA, 美国
期限: 13 8月 200813 8月 2008

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
7083
ISSN(印刷版)0277-786X

会议

会议Remote Sensing and Modeling of Ecosystems for Sustainability V
国家/地区美国
San Diego, CA
时期13/08/0813/08/08

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 13 - 气候行动
    可持续发展目标 13 气候行动

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