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Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data

文献类型：期刊论文

作者John, Ranjeet; Chen, Jiquan4; Noormets, Asko1,6; Xiao, Xiangming2; Xu, Jianye; Lu, Nan5; Chen, Shiping4
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期2013
卷号34期号:8页码:2829-2857
ISSN号0143-1161
DOI10.1080/01431161.2012.746483
文献子类Article
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.
学科主题Remote Sensing ; Imaging Science & Photographic Technology
电子版国际标准刊号1366-5901
出版地ABINGDON
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研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
出版者TAYLOR & FRANCIS LTD
WOS记录号WOS:000316393800010
资助机构NASA-NEWS Program ; Natural Science Foundation of China(National Natural Science Foundation of China (NSFC)) ; Outstanding Overseas Scientists Team Project of Chinese Academy of Sciences ; State Key Basic Research Development Programme of China ; Office of Integrative Activities ; Office Of The Director(National Science Foundation (NSF)NSF - Office of the Director (OD))
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/28056]  
专题植被与环境变化国家重点实验室
作者单位1.N Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA
2.N Carolina State Univ, Southern Global Change Program, Raleigh, NC 27695 USA
3.Chinese Acad Sci, Ecoenvironm Sci Res Ctr, Beijing 100085, Peoples R China
4.Univ Toledo, Dept Environm Sci, Toledo, OH 43606 USA
5.Univ Oklahoma, Ctr Spatial Anal, Stephenson Res & Technol Ctr, Norman, OK 73019 USA
6.Chinese Acad Sci, Inst Bot, Beijing 100093, 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]. INTERNATIONAL JOURNAL OF REMOTE SENSING,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.

入库方式： OAI收割

来源：植物研究所

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