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 2008 → 13 8月 2008 |
出版系列
| 姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| 卷 | 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 |
| 市 | San Diego, CA |
| 时期 | 13/08/08 → 13/08/08 |
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:
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可持续发展目标 13 气候行动
学术指纹
探究 'The comparing study of net primary production in China' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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