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| Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data | |
John, Ranjeet; Chen, Jiquan1; Noormets, Asko2,3; Xiao, Xiangming4; Xu, Jianye; Lu, Nan5; Chen, Shiping1
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| 2013 | |
| 发表期刊 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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| ISSN | 0143-1161 |
| 卷号 | 34期号:8页码:2829-2857 |
| 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. |
| 学科领域 | Remote Sensing ; Imaging Science & Photographic Technology |
| DOI | 10.1080/01431161.2012.746483 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 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) |
| WOS记录号 | WOS:000316393800010 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 文献子类 | Article |
| 出版地 | ABINGDON |
| EISSN | 1366-5901 |
| 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)) |
| 作者邮箱 | xiao, xiang/GWU-6035-2022 ; Noormets, Asko/A-7257-2009 ; John, Ranjeet/J-2082-2015 ; Noormets, Asko/P-1197-2019 ; John, Ranjeet/Z-1070-2019 ; LU, NAN/HIR-1965-2022 ; Chen, Jiquan/D-1955-2009 ; Chen, Shiping/AAH-9751-2019 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | 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.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]. 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. |
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