A Study on the Scaling-up of CO2 Fluxes at Haibei Station Based on GIS and RS Technologies
文献类型：会议论文
| 作者 | Song Ting3,4,5; Wang Shaoqiang1; Gao Jixi2; Han Yongwei3 |
| 出版日期 | 2009 |
| 会议日期 | JUL 04-05, 2009 |
| 会议地点 | Wuhan |
| 关键词 | scaling-up carbon flux mathematic modeling NDVI RS GIS |
| DOI | 10.1109/ESIAT.2009.491 |
| 页码 | 455-461 |
| 国家 | PEOPLES R CHINA |
| 英文摘要 | Continuous long-term measurements of carbon fluxes have been obtained by improved technology at the ecosystem scale and under natural conditions. Nevertheless, these are still point measurements with limited geographic coverage Quantitative extrapolations and scaling-up of tower station measurements are now urgently needed for carbon cycle research. This paper attempts to solve this problem by combining the technologies Of CO2 flux measurements, mathematic modeling, Geographic Information System (GIS) and Remote Sensing (RS). It is well known that the light-response function allows partitioning net ecosystem exchange (NEE) into gross primary production (GPP) and total ecosystem respiration (Re). The GPP and Re can be estimated from continuous CO2 flux measurements using non-linear identification of the non-rectangular hyperbolic model of ecosystem-scale, light response curves. Patterns of the relationships of GPP and Re with the Normalized Difference Vegetation Index (NDVI), and other factors, indicate possibilities to establish multivariate functions, allowing scaling-up of local fluxes to larger areas with GIS technology, temporal NDVI inversed from RS images, and other tools. Our study is based on continuous CO2 flux data, which were measured at the Haibei Alpine Meadow Ecosystem Research Station (Haibei Research Station) on the Qinghai-Tibet Plateau, the Chinese Academy of Science. Using the above methods, we achieved good flux-NDVI relationships at the site and applied these relationships in the scaling-up of site-specific CO2 flux measurements to regional levels. Consequently the annual spatial and temporal variation Of CO2 flux was obtained for this plateau and eco-region. Characterizing spatial and temporal dynamics Of CO2 flux will facilitate investigations of the carbon source or sink status of grassland ecosystems on the plateau. |
| 源文献作者 | IEEE |
| 产权排序 | 1 |
| 会议录 | 2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL III, PROCEEDINGS,
 |
| 语种 | 英语 |
| ISBN号 | 978-0-7695-3682-8 |
| WOS记录号 | WOS:000274010700108 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/34935]  |
| 专题 | 成都山地灾害与环境研究所_成都山地所知识仓储（2009年以前） |
| 通讯作者 | Song Ting |
| 作者单位 | 1.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; 2.Department of Science, Technology and Standards, Ministry of Environmental Protection of the People's Republic of China, Beijing, China 3.Institute of Ecology Chinese Research Academy of Environmental Sciences, Beijing, China; 4.Graduate University of Chinese Academy of Sciences, Beijing, China; 5.Chengdu Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China; |
| 推荐引用方式 GB/T 7714 | Song Ting,Wang Shaoqiang,Gao Jixi,et al. A Study on the Scaling-up of CO2 Fluxes at Haibei Station Based on GIS and RS Technologies[C]. 见:. Wuhan. JUL 04-05, 2009. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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