A Study on the Scaling-up of CO2 Fluxes at Haibei Station Based on GIS and RS Technologies

doi:10.1109/ESIAT.2009.491

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部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）

	A Study on the Scaling-up of CO2 Fluxes at Haibei Station Based on GIS and RS Technologies
	Song Ting 2,3,4; Wang Shaoqiang 5; Gao Jixi 1; Han Yongwei 4
	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
内容类型	会议论文
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.Department of Science, Technology and Standards, Ministry of Environmental Protection of the People's Republic of China, Beijing, China 2.Chengdu Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China; 3.Graduate University of Chinese Academy of Sciences, Beijing, China; 4.Institute of Ecology Chinese Research Academy of Environmental Sciences, Beijing, China; 5.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 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.