干旱区生态环境知识资源中心(Arid): Modeling Gross Primary Production by Integrating Satellite Data and Coordinated Flux Measurements in Arid and Semi-Arid China

Arid

DOI	10.1080/16742834.2010.11446842
	Modeling Gross Primary Production by Integrating Satellite Data and Coordinated Flux Measurements in Arid and Semi-Arid China
	Wang He-Song; Jia Gen-Suo; Feng Jin-Ming; Zhao Tian-Bao; Ma Zhu-Guo
通讯作者	Jia, GS
来源期刊	ATMOSPHERIC AND OCEANIC SCIENCE LETTERS
ISSN	1674-2834
EISSN	2376-6123
出版年	2010
卷号	3 期号:1 页码:7-13
英文摘要	Assessing large-scale patterns of gross primary production (GPP) in arid and semi-arid (ASA) areas is important for both scientific and practical purposes. Remote sensing-based models, which integrate satellite data with input from ground-based meteorological measurements and vegetation characteristics, improve spatially extended estimates of vegetation productivity with high accuracy. In this study, the authors simulated GPP in ASA areas by integrating moderate resolution imaging spectral radiometer (MODIS) data with eddy covariance and meteorological measurements at the flux tower sites using the Vegetation Photosynthesis Model (VPM), which is a remote sensing-based model for analyzing the spatial pattern of GPP in different land cover types. The field data were collected by coordinating observations at nine stations in 2008. The results indicate that in the region during the growing season GPP was highest in cropland sites, second highest in woodland sites, and lowest in grassland sites. VPM captured the temporal and spatial characteristics of GPP for different land covers in ASA areas. Further, Enhanced Vegetation Index (EVI) had a strong liner relationship with GPP in densely vegetated areas, while the Normalized Difference Vegetation Index (NDVI) had a strong liner relationship with GPP over less dense vegetation. This study demonstrates the potential of satellite-driven models for scaling-up GPP, which is a key component for studying the carbon cycle at regional and global scales.
英文关键词	gross primary production vegetation photo-synthesis model eddy covariance remote sensing coordinated observation arid and semi-arid areas
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	ESCI
WOS记录号	WOS:000433682400002
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
来源机构	中国科学院大气物理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/329587
作者单位	[Wang He-Song; Jia Gen-Suo; Feng Jin-Ming; Zhao Tian-Bao; Ma Zhu-Guo] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing 100029, Peoples R China; [Wang He-Song] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang He-Song,Jia Gen-Suo,Feng Jin-Ming,et al. Modeling Gross Primary Production by Integrating Satellite Data and Coordinated Flux Measurements in Arid and Semi-Arid China[J]. 中国科学院大气物理研究所,2010,3(1):7-13.
APA	Wang He-Song,Jia Gen-Suo,Feng Jin-Ming,Zhao Tian-Bao,&Ma Zhu-Guo.(2010).Modeling Gross Primary Production by Integrating Satellite Data and Coordinated Flux Measurements in Arid and Semi-Arid China.ATMOSPHERIC AND OCEANIC SCIENCE LETTERS,3(1),7-13.
MLA	Wang He-Song,et al."Modeling Gross Primary Production by Integrating Satellite Data and Coordinated Flux Measurements in Arid and Semi-Arid China".ATMOSPHERIC AND OCEANIC SCIENCE LETTERS 3.1(2010):7-13.