Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data

	Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data
	Li, Zhengquan ; Yu, Guirui ; Xiao, Xiangming ; Li, Yingnian ; Zhao, Xinquan ; Ren, Chuanyou ; Zhang, Leiming ; Fu, Yuling
刊名	remote sensing of environment
	2007-04-12
卷号	107 期号:3 页码:510-519
关键词	vegetation photosynthesis model Eddy covariance light use efficiency CO2 fluxes
合作状况	其它
中文摘要	the eddy covariance technique provides measurements of net ecosystem exchange (nee) of co2 between the atmosphere and terrestrial ecosystems, which is widely used to estimate ecosystem respiration and gross primary production (gpp) at a number of co2 eddy flux tower sites. in this paper, canopy-level maximum light use efficiency, a key parameter in the satellite-based vegetation photosynthesis model (vpm), was estimated by using the observed co2 flux data and photosynthetically active radiation (par) data from eddy flux tower sites in an alpine swamp ecosystem, an alpine shrub ecosystem and an alpine meadow ecosystem in qinghai-tibetan plateau, china. the vpm model uses two improved vegetation indices (enhanced vegetation index (evi), land surface water index (lswi)) derived from the moderate resolution imaging spectral radiometer (modis) data and climate data at the flux tower sites, and estimated the seasonal dynamics of gpp of the three alpine grassland ecosystems in qinghai-tibetan plateau. the seasonal dynamics of gpp predicted by the vpm model agreed well with estimated gpp from eddy flux towers. these results demonstrated the potential of the satellite-driven vpm model for scaling-up gpp of alpine grassland ecosystems, a key component for the study of the carbon cycle at regional and global scales. (c) 2006 elsevier inc. all rights reserved.
英文摘要	the eddy covariance technique provides measurements of net ecosystem exchange (nee) of co2 between the atmosphere and terrestrial ecosystems, which is widely used to estimate ecosystem respiration and gross primary production (gpp) at a number of co2 eddy flux tower sites. in this paper, canopy-level maximum light use efficiency, a key parameter in the satellite-based vegetation photosynthesis model (vpm), was estimated by using the observed co2 flux data and photosynthetically active radiation (par) data from eddy flux tower sites in an alpine swamp ecosystem, an alpine shrub ecosystem and an alpine meadow ecosystem in qinghai-tibetan plateau, china. the vpm model uses two improved vegetation indices (enhanced vegetation index (evi), land surface water index (lswi)) derived from the moderate resolution imaging spectral radiometer (modis) data and climate data at the flux tower sites, and estimated the seasonal dynamics of gpp of the three alpine grassland ecosystems in qinghai-tibetan plateau. the seasonal dynamics of gpp predicted by the vpm model agreed well with estimated gpp from eddy flux towers. these results demonstrated the potential of the satellite-driven vpm model for scaling-up gpp of alpine grassland ecosystems, a key component for the study of the carbon cycle at regional and global scales. (c) 2006 elsevier inc. all rights reserved.
学科主题	生物科学
WOS标题词	science & technology ; life sciences & biomedicine ; technology
类目[WOS]	environmental sciences ; remote sensing ; imaging science & photographic technology
研究领域[WOS]	environmental sciences & ecology ; remote sensing ; imaging science & photographic technology
关键词[WOS]	net primary production ; evergreen needleleaf forest ; vegetation water-content ; remote-sensing data ; fluxnet measurements ; spectral index ; sensor data ; terrestrial ; validation ; fluxes
收录类别	SCI
语种	英语
WOS记录号	WOS:000245827500010
公开日期	2009-12-07
内容类型	期刊论文
源URL	[http://ir.nwipb.ac.cn/handle/363003/1281]
专题	西北高原生物研究所_中国科学院西北高原生物研究所
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Zhejiang Meteorol Bur, Zhejiang Climate Ctr, Zhejiang 310017, Peoples R China 3.Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USA 4.CAS, NW Inst Plateau Biol, Qinghai 810001, Peoples R China
推荐引用方式 GB/T 7714	Li, Zhengquan,Yu, Guirui,Xiao, Xiangming,et al. Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data[J]. remote sensing of environment,2007,107(3):510-519.
APA	Li, Zhengquan.,Yu, Guirui.,Xiao, Xiangming.,Li, Yingnian.,Zhao, Xinquan.,...&Fu, Yuling.(2007).Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data.remote sensing of environment,107(3),510-519.
MLA	Li, Zhengquan,et al."Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data".remote sensing of environment 107.3(2007):510-519.