Modelling net primary productivity of terrestrial ecosystems in East Asia based on an improved CASA ecosystem model
文献类型：期刊论文
| 作者 | Yu, Deyong1; Shi, Peijun1; Shao, Hongbo2,3,4; Zhu, Wenquan1; Pan, Yaozhong1 |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2009 |
| 卷号 | 30期号:18页码:4851-4866 |
| 关键词 | Satellite Ndvi |
| ISSN号 | 0143-1161 |
| 产权排序 | Beijing Normal Univ, MOE Acad Disaster Reduct & Emergency Management, Key Lab Environm Change & Nat Disaster, State Key Lab Earth Surface Proc & Resource Ecol;Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P;Chinese Acad Sci, Yantai Inst Coastal Zone Res Sustainable Dev;Qingdao Univ Sci & Technol, Inst Life Sci |
| 通讯作者 | Yu, DY, Beijing Normal Univ, MOE Acad Disaster Reduct & Emergency Management, Key Lab Environm Change & Nat Disaster, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China |
| 文献子类 | Article |
| 英文摘要 | By using a land cover map, normalized difference vegetation index (NDVI) data sets, monthly meteorological data and observed net primary productivity (NPP) data, we have improved the method of estimating light use efficiency (LUE) for different biomes and soil moisture coefficients in the Carnegie-Ames-Stanford Approach ( CASA) ecosystem model. Based on this improved model we produced an annual NPP map ( in 1999) for the East Asia region located at 10-70 degrees N, 70-170 degrees E ( about 19.66% of the terrestrial surface of the Earth). The results show that the mean NPP for the study area in 1999 was 374.12 g carbon ( C) m(-2) year(-1) and the total NPP was 1.096 x 10(14) kg C year(-1), making up 17.51-18.39% of the global NPP. Comparison between the estimated NPP obtained from this improved CASA ecosystem model and the observed NPP obtained from two NPP databases indicates that the estimated NPP is close to the observed NPP, with an average error of 5.15% for the study region. We used two different land cover maps of China to drive the improved CASA model by keeping other inputs unchanged to determine how the classification accuracy of the land cover map affects the estimated NPP, and the results indicate that an accurate land cover map is important for obtaining an accurate and reliable estimate of NPP for some regions, especially for a particular biome.; By using a land cover map, normalized difference vegetation index (NDVI) data sets, monthly meteorological data and observed net primary productivity (NPP) data, we have improved the method of estimating light use efficiency (LUE) for different biomes and soil moisture coefficients in the Carnegie-Ames-Stanford Approach ( CASA) ecosystem model. Based on this improved model we produced an annual NPP map ( in 1999) for the East Asia region located at 10-70 degrees N, 70-170 degrees E ( about 19.66% of the terrestrial surface of the Earth). The results show that the mean NPP for the study area in 1999 was 374.12 g carbon ( C) m(-2) year(-1) and the total NPP was 1.096 x 10(14) kg C year(-1), making up 17.51-18.39% of the global NPP. Comparison between the estimated NPP obtained from this improved CASA ecosystem model and the observed NPP obtained from two NPP databases indicates that the estimated NPP is close to the observed NPP, with an average error of 5.15% for the study region. We used two different land cover maps of China to drive the improved CASA model by keeping other inputs unchanged to determine how the classification accuracy of the land cover map affects the estimated NPP, and the results indicate that an accurate land cover map is important for obtaining an accurate and reliable estimate of NPP for some regions, especially for a particular biome. |
| 学科主题 | Remote Sensing ; Imaging Science & Photographic Technology |
| URL标识 | 查看原文 |
| WOS关键词 | SATELLITE ; NDVI |
| WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000270299300012 |
| 资助机构 | National Natural Science Foundation of China [40801211, 40425008]; Project of State Key Laboratory of Earth Surface Processes and Resources Ecology [070106] |
| 公开日期 | 2011-07-05 |
| 源URL | [http://ir.yic.ac.cn/handle/133337/3408]  |
| 专题 | 烟台海岸带研究所_滨海湿地实验室 |
| 作者单位 | 1.Beijing Normal Univ, MOE Acad Disaster Reduct & Emergency Management, Key Lab Environm Change & Nat Disaster, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China 3.Chinese Acad Sci, Yantai Inst Coastal Zone Res Sustainable Dev, Yantai 264003, Peoples R China 4.Qingdao Univ Sci & Technol, Inst Life Sci, Qingdao 266042, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yu, Deyong,Shi, Peijun,Shao, Hongbo,et al. Modelling net primary productivity of terrestrial ecosystems in East Asia based on an improved CASA ecosystem model[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2009,30(18):4851-4866. |
| APA | Yu, Deyong,Shi, Peijun,Shao, Hongbo,Zhu, Wenquan,&Pan, Yaozhong.(2009).Modelling net primary productivity of terrestrial ecosystems in East Asia based on an improved CASA ecosystem model.INTERNATIONAL JOURNAL OF REMOTE SENSING,30(18),4851-4866. |
| MLA | Yu, Deyong,et al."Modelling net primary productivity of terrestrial ecosystems in East Asia based on an improved CASA ecosystem model".INTERNATIONAL JOURNAL OF REMOTE SENSING 30.18(2009):4851-4866. |
入库方式： OAI收割
来源：烟台海岸带研究所
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