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Comparing cropland net primary production estimates from inventory, a satellite-based model, and a process-based model in the Midwest of the United States

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  • Li, Zhengpeng
  • Liu, Shuguang
  • Tan, Zhengxi
  • Bliss, Norman B.
  • Young, Claudia J.
  • West, Tristram O.
  • Ogle, Stephen M.

Abstract

Accurately quantifying the spatial and temporal variability of net primary production (NPP) for croplands is essential to understand regional cropland carbon dynamics. We compared three NPP estimates for croplands in the Midwestern United States: inventory-based estimates using crop yield data from the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service (NASS); estimates from the satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS) NPP product; and estimates from the General Ensemble biogeochemical Modeling System (GEMS) process-based model. The three methods estimated mean NPP in the range of 469–687gCm−2yr−1 and total NPP in the range of 318–490TgCyr−1 for croplands in the Midwest in 2007 and 2008. The NPP estimates from crop yield data and the GEMS model showed the mean NPP for croplands was over 650gCm−2yr−1 while the MODIS NPP product estimated the mean NPP was less than 500gCm−2yr−1. MODIS NPP also showed very different spatial variability of the cropland NPP from the other two methods. We found these differences were mainly caused by the difference in the land cover data and the crop specific information used in the methods. Our study demonstrated that the detailed mapping of the temporal and spatial change of crop species is critical for estimating the spatial and temporal variability of cropland NPP. We suggest that high resolution land cover data with species–specific crop information should be used in satellite-based and process-based models to improve carbon estimates for croplands.

Suggested Citation

  • Li, Zhengpeng & Liu, Shuguang & Tan, Zhengxi & Bliss, Norman B. & Young, Claudia J. & West, Tristram O. & Ogle, Stephen M., 2014. "Comparing cropland net primary production estimates from inventory, a satellite-based model, and a process-based model in the Midwest of the United States," Ecological Modelling, Elsevier, vol. 277(C), pages 1-12.
    • Handle: RePEc:eee:ecomod:v:277:y:2014:i:c:p:1-12
    DOI: 10.1016/j.ecolmodel.2014.01.012
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    References listed on IDEAS

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    1. Marc L. Imhoff & Lahouari Bounoua & Taylor Ricketts & Colby Loucks & Robert Harriss & William T. Lawrence, 2004. "Global patterns in human consumption of net primary production," Nature, Nature, vol. 429(6994), pages 870-873, June.
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    1. Huang, Yawen & Tao, Bo & Xiaochen, Zhu & Yang, Yanjun & Liang, Liang & Wang, Lixin & Jacinthe, Pierre-Andre & Tian, Hanqin & Ren, Wei, 2021. "Conservation tillage increases corn and soybean water productivity across the Ohio River Basin," Agricultural Water Management, Elsevier, vol. 254(C).
    2. Sannigrahi, Srikanta, 2017. "Modeling terrestrial ecosystem productivity of an estuarine ecosystem in the Sundarban Biosphere Region, India using seven ecosystem models," Ecological Modelling, Elsevier, vol. 356(C), pages 73-90.
    3. Li, Zhengpeng & Liu, Shuguang & Zhang, Xuesong & West, Tristram O. & Ogle, Stephen M. & Zhou, Naijun, 2016. "Evaluating land cover influences on model uncertainties—A case study of cropland carbon dynamics in the Mid-Continent Intensive Campaign region," Ecological Modelling, Elsevier, vol. 337(C), pages 176-187.

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