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Modeling gross primary productivity for winter wheat-maize double cropping System using MODIS time series and CO2 eddy flux tower data
Yan, Huimin1; Fu, Yuling1; Xiao, Xiangming2; Huang, He Qing1; He, Honglin1; Ediger, Laura1
2009-02-01
Source PublicationAGRICULTURE ECOSYSTEMS & ENVIRONMENT
Volume129Issue:4Pages:391-400
AbstractAccurate and spatially explicit monitoring of gross primary productivity of agricultural ecosystems at a large scale is of great significance to assessment of crop conditions and agricultural production, and is necessary for understanding the carbon balance of the terrestrial biosphere. Identifying crop intensity (including multiple cropping and crop calendar) dynamics and assigning appropriate light use efficiency to C3 and C4 crops could substantially improve our ability to model and evaluate the seasonal dynamics of carbon flux in intensified agricultural ecosystems. In this paper, we have analyzed temporal dynamics of vegetation indices and phenological characteristics in the winter-wheat and maize double cropping system using multi-year satellite images from the moderate resolution imaging spectral radiometer (MODIS) and in situ observation of key crop phenological transition dates. The multiple cropping and crop calendar information were incorporated into simulations of the satellite-based vegetation photosynthesis model (VPM). Canopy-level maximum light use efficiency, a key parameter in the satellite-based VPM model, was estimated for both winter wheat (0) and maize (C4) based on the observed CO2 flux data from an eddy flux tower site in a winter wheat-maize double cropping agro-ecosystem in the Huang-Huai-Hai plain, China. The seasonal dynamics of GPP predicted by the VPM model agreed well with estimated GPP from eddy flux tower data. These results demonstrate the potential of the satellite-driven VPM model for scaling-up GPP estimation of intensified agricultural ecosystems, which is relevant to food production and security. (C) 2008 Elsevier B.V. All rights reserved.
SubtypeArticle
KeywordCrop Intensity Vegetation Index Vegetation Photosynthesis Model Multiple Cropping
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS Subject ExtendedAgriculture ; Environmental Sciences & Ecology
WOS KeywordLIGHT-USE EFFICIENCY ; NET PRIMARY PRODUCTIVITY ; PHOTOSYNTHETICALLY ACTIVE RADIATION ; EVERGREEN NEEDLELEAF FOREST ; VEGETATION WATER-CONTENT ; REMOTE-SENSING DATA ; NORTH CHINA PLAIN ; ECOSYSTEM EXCHANGE ; CLIMATE DATA ; TIBETAN PLATEAU
Indexed BySCI
Language英语
WOS SubjectAgriculture, Multidisciplinary ; Ecology ; Environmental Sciences
WOS IDWOS:000263022200005
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:61[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/67940
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYan, Huimin
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USA
Recommended Citation
GB/T 7714
Yan, Huimin,Fu, Yuling,Xiao, Xiangming,et al. Modeling gross primary productivity for winter wheat-maize double cropping System using MODIS time series and CO2 eddy flux tower data[J]. AGRICULTURE ECOSYSTEMS & ENVIRONMENT,2009,129(4):391-400.
APA Yan, Huimin,Fu, Yuling,Xiao, Xiangming,Huang, He Qing,He, Honglin,&Ediger, Laura.(2009).Modeling gross primary productivity for winter wheat-maize double cropping System using MODIS time series and CO2 eddy flux tower data.AGRICULTURE ECOSYSTEMS & ENVIRONMENT,129(4),391-400.
MLA Yan, Huimin,et al."Modeling gross primary productivity for winter wheat-maize double cropping System using MODIS time series and CO2 eddy flux tower data".AGRICULTURE ECOSYSTEMS & ENVIRONMENT 129.4(2009):391-400.
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