| The analysis of net primary productivity in China based on GEOLUE model | |
| Gao, Zhiqiang ; Gao, Wei ; Cao Xiaoming ; Chen, Maosi | |
| 通讯作者 | Gao, ZQ (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China.,[email protected] |
| 2012 | |
| 会议名称 | Conference on Remote Sensing and Modeling of Ecosystems for Sustainability IX |
| 页码 | 85130R |
| 会议日期 | 16-Aug-12 |
| 会议地点 | San Diego, CA |
| ISSN号 | 0277-786X |
| ISBN号 | 978-0-8194-9230-2 |
| 产权排序 | [Gao, Zhiqiang] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China |
| 关键词 | China Model Of Light Use Efficiency Net Primary Product (Npp) Simulation |
| 摘要 | GEOLUE model was designed with Light Use Efficiency (LUE) mechanism and was validated with observed data and models comparison (GLOPEM, CASA, and CEVSA). We found that: GEOLUE model correctly simulates monthly, quarterly and annual variation of Net Primary Product (NPP) in different vegetation communities under monsoon climate. The spatial distribution of NPP simulated by GEOLUE matched up to 96.67% with that of forest and shrub land. The GEOLUE model perfectly simulated the seasonal characteristics and spatial pattern of biomass in different types of vegetation. The total amount NPP of China simulated by GEOLUE is 0.667GtC in spring, 1.365GtC in summer, 0.587GtC in autumn and 0.221GtC in winter. The average total NPP of China for 5 years is 2.84GtC / year. |
| 作者部门 | 海岸带信息集成与综合管理实验室 |
| 学科领域 | Remote Sensing ; Optics |
| URL | 查看原文 |
| 收录类别 | CPCI |
| 语种 | 英语 |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/6227 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 |
| 推荐引用方式 GB/T 7714 | Gao, Zhiqiang,Gao, Wei,Cao Xiaoming,et al. The analysis of net primary productivity in China based on GEOLUE model[C]:SPIE-INT SOC OPTICAL ENGINEERING,2012:85130R. |
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