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

NWIPB OpenIR

	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
	2007-04-12
发表期刊	REMOTE SENSING OF ENVIRONMENT
卷号	107 期号:3 页码:510-519
文章类型	Article
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.; 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.
关键词	Vegetation Photosynthesis Model Eddy Covariance Light Use Efficiency Co2 Fluxes
WOS标题词	Science & Technology ; Life Sciences & Biomedicine ; Technology
学科领域	生物科学
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研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000245827500010
引用统计	被引频次：111[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://210.75.249.4/handle/363003/1281
专题	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.

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