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首页> 外文期刊>International journal of remote sensing >Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data
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Modelling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data

机译：使用MODIS影像和涡度协方差数据对内蒙古半干旱地区的初级生产总值进行建模

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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 (GPPmvpm) (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.
机译：我们评估了来自内蒙古半干旱地区不同水限制的土地覆盖/土地利用（LCLU）和生物群落类型的涡流协方差（EC）塔观测碳通量的建模。由增强型植被指数（EVI）和地表水指数（LSWI）驱动的植被光合作用模型（VPM）和修改后的VPM（MVPM），它们是从中等分辨率成像光谱仪（MODIS）的表面反射率产品（ MOD09A1）用于建模和验证2006年和2007年生长季节EC塔的初级生产总值（GPP）的时间变化。由VPM模型（GPP_（vpm））预测的年度GPP在2006年和2007年的农田（确定系数分别为2006和2007年的R〜2 = 0.67和0.71）和典型的草原（R 〜2 = 0.80和0.73）网站。 VPM模型的预测能力在沙漠草原上有所不同，其中包括灌溉的杨树林分（R〜2 = 0.74和0.68）和灌木林地（R〜2 = 0.31和0.49）。从涡动协方差塔（GPP_（塔））获得的GPP与从MVPM（GPPmvpm）获得的GPP（预测的GPP）之间的比较表明，对于Xilinhaote的典型草原站点（R〜2 = 0.84和0.70在2006年和2007年）具有良好的一致性）和多伦草原站点（R〜2 = 0.63）和农田站点（R〜2 = 0.63）在2007年。MVPM模型的预测能力在灌溉白杨林分的沙漠草原（R〜 2 = 2006年和2007年分别为0.56和0.47）和灌木丛（R〜2 = 0.20和0.41）。这项研究的结果证明了从半干旱地区的EC塔进行GPP建模的可行性。

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  • 来源
    《International journal of remote sensing》 |2013年第8期|2829-2857|共29页
  • 作者

    Ranjeet John; Jiquan Chen; Asko Noormets; Xiangming Xiao; Jianye Xu; Nan Lu; Sniping Chen;

  • 作者单位

    Department of Environmental Sciences, University of Toledo, Toledo, OH 43606, USA;

    Department of Environmental Sciences, University of Toledo, Toledo, OH 43606, USA Institute of Botany, Chinese Academy of Sciences, Beijing 100093, People's Republic of China;

    Department of Forestry and Environmental Resources and Southern Global Change Program, North Carolina State University, Raleigh, NC 27695, USA;

    Center for Spatial Analysis, Stephenson Research and Technology Center, University of Oklahoma, Norman, OK 73019-5300, USA;

    Department of Environmental Sciences, University of Toledo, Toledo, OH 43606, USA;

    Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, People's Republic of China;

    Institute of Botany, Chinese Academy of Sciences, Beijing 100093, People's Republic of China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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