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Regional Estimation of Soil Carbon and Other Environmental Indicators Using EPIC and i_EPIC

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Abstract

Computer models are important tools for assessing regional carbon sequestration and other environmental impacts of agricultural management practices. The Environmental Policy Integrated Climate (EPIC) model is a very flexible model that has been used to make a wide range of field- and regional-scale environmental assessments. Large regional-scale applications of EPIC and similar models can require thousands of runs, resulting in a huge data management task. To address this problem, the Center for Agricultural and Rural Development (CARD) has developed an interactive EPIC (i_EPIC) software package that provides an automated approach to executing large sets of EPIC simulations. Overviews of both the latest EPIC version and the i_EPIC software package are presented. We also present examples of regional applications using both EPIC and i_EPIC conducted by the Resource and Environmental Policy Division of CARD, by the Joint Global Change Research Institute of the University of Maryland and the Pacific Northwest National Laboratory, and by the Resource Assessment Division of the Natural Resources Conservation Service, U.S. Department of Agriculture.

Suggested Citation

  • Philip W. Gassman & Todd Campbell & R. César Izaurralde & Allison M. Thomson & Jay D. Atwood, 2003. "Regional Estimation of Soil Carbon and Other Environmental Indicators Using EPIC and i_EPIC," Center for Agricultural and Rural Development (CARD) Publications 03-tr46, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  • Handle: RePEc:ias:cpaper:03-tr46
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    1. Favis-Mortlock, D. T. & Evans, R. & Boardman, J. & Harris, T. M., 1991. "Climate change, winter wheat yield and soil erosion on the English south downs," Agricultural Systems, Elsevier, vol. 37(4), pages 415-433.
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    Cited by:

    1. Gaiser, Thomas & Stahr, Karl & Billen, Norbert & Mohammad, Mohammad Abdel-Razek, 2008. "Modeling carbon sequestration under zero tillage at the regional scale. I. The effect of soil erosion," Ecological Modelling, Elsevier, vol. 218(1), pages 110-120.
    2. Wang, Erda & Williams, Jimmy R. & Little, Bertis B., 2006. "Prediction of Weather Event Associated Crop Yield Losses in Kansas," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35467, Southern Agricultural Economics Association.
    3. Doraiswamy, P.C. & McCarty, G.W. & Hunt, E.R. Jr. & Yost, R.S. & Doumbia, M. & Franzluebbers, A.J., 2007. "Modeling soil carbon sequestration in agricultural lands of Mali," Agricultural Systems, Elsevier, vol. 94(1), pages 63-74, April.
    4. Gaiser, Thomas & Abdel-Razek, Mohammad & Bakara, Heike, 2009. "Modeling carbon sequestration under zero-tillage at the regional scale. II. The influence of crop rotation and soil type," Ecological Modelling, Elsevier, vol. 220(23), pages 3372-3379.

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