Arid
DOI10.1080/01431161.2012.746483
Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data
John, Ranjeet1; Chen, Jiquan1,2; Noormets, Asko3,4; Xiao, Xiangming5; Xu, Jianye1; Lu, Nan6; Chen, Shiping2
通讯作者John, Ranjeet
来源期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
EISSN1366-5901
出版年2013
卷号34期号:8页码:2829-2857
英文摘要

We evaluate the modelling of carbon fluxes from eddy covariance (EC) tower observations in different water-limited land-cover/land-use (LCLU) and biome types in semi-arid Inner Mongolia, China. The vegetation photosynthesis model (VPM) and modified VPM (MVPM), driven by the enhanced vegetation index (EVI) and land-surface water index (LSWI), which were derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) surface-reflectance product (MOD09A1), were used to model and validate the temporal changes in gross primary production (GPP) from the EC towers during the 2006 and 2007 growing seasons. The annual GPP predicted by the VPM model (GPP(VPM)) was predicted reasonably well in 2006 and 2007 at the cropland (coefficient of determination, R-2=0.67 and 0.71, for 2006 and 2007, respectively) and typical steppe (R-2=0.80 and 0.73) sites. The predictive power of the VPM model varied in the desert steppe, which includes an irrigated poplar stand (R-2=0.74 and 0.68) and shrubland (R-2=0.31 and 0.49) sites. The comparison between GPP obtained from the eddy covariance tower (GPP(tower)) and GPP obtained from MVPM (GPP(MVPM)) (predicted GPP) showed good agreement for the typical steppe site of Xilinhaote (R-2=0.84 and 0.70 in 2006 and 2007, respectively) and for the Duolun steppe site (R-2=0.63) and cropland site (R-2=0.63) in 2007. The predictive power of the MVPM model decreased slightly in the desert steppe at the irrigated poplar stand (R-2=0.56 and 0.47 in 2006 and 2007 respectively) and the shrubland (R-2=0.20 and 0.41). The results of this study demonstrate the feasibility of modelling GPP from EC towers in semi-arid regions.


类型Article
语种英语
国家USA ; Peoples R China
收录类别SCI-E
WOS记录号WOS:000316393800010
WOS关键词NET PRIMARY PRODUCTION ; LAND-SURFACE TEMPERATURE ; ATMOSPHERIC CORRECTION ; GRASSLAND ECOSYSTEMS ; QUALITY ASSESSMENT ; TERRESTRIAL GROSS ; SONIC ANEMOMETER ; WATER-VAPOR ; CO2 FLUXES ; VEGETATION
WOS类目Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
来源机构中国科学院植物研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/177760
作者单位1.Univ Toledo, Dept Environm Sci, Toledo, OH 43606 USA;
2.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China;
3.N Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA;
4.N Carolina State Univ, Southern Global Change Program, Raleigh, NC 27695 USA;
5.Univ Oklahoma, Ctr Spatial Anal, Stephenson Res & Technol Ctr, Norman, OK 73019 USA;
6.Chinese Acad Sci, Ecoenvironm Sci Res Ctr, Beijing 100085, Peoples R China
推荐引用方式
GB/T 7714
John, Ranjeet,Chen, Jiquan,Noormets, Asko,et al. Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data[J]. 中国科学院植物研究所,2013,34(8):2829-2857.
APA John, Ranjeet.,Chen, Jiquan.,Noormets, Asko.,Xiao, Xiangming.,Xu, Jianye.,...&Chen, Shiping.(2013).Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data.INTERNATIONAL JOURNAL OF REMOTE SENSING,34(8),2829-2857.
MLA John, Ranjeet,et al."Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data".INTERNATIONAL JOURNAL OF REMOTE SENSING 34.8(2013):2829-2857.
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