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Validation of EPIC for Two Watersheds in Southwest Iowa

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Abstract

The Erosion Productivity Impact Calculator (EPIC) model is validated using long-term data collected for two southwest Iowa watersheds that have been cropped in continuous corn under two different tillage systems. The annual hydrologic balance was calibrated during 1988-94 by adjusting the runoff curve numbers and residue effects on soil evaporation. Model validation was performed for 1976-87 using both summary statistics and parametric and nonparametric statistical tests. Overall, results show that EPIC was able to replicate the long-term relative differences between the two tillage systems. Also printed in Journal of Environmental Quality 28(3): 971-79. May/June 1999.

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  • S. W. Chung & Philip W. Gassman & L. A. Kramer & Jimmy R. Williams & Roy Gu, 1999. "Validation of EPIC for Two Watersheds in Southwest Iowa," Center for Agricultural and Rural Development (CARD) Publications 99-wp215, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    • Handle: RePEc:ias:cpaper:99-wp215
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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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    1. Coiner, Colette & Wu, JunJie & Polasky, Stephen, 2001. "Economic and environmental implications of alternative landscape designs in the Walnut Creek Watershed of Iowa," Ecological Economics, Elsevier, vol. 38(1), pages 119-139, July.
    2. Lutz, Femke & Stoorvogel, Jetse J. & Müller, Christoph, 2019. "Options to model the effects of tillage on N2O emissions at the global scale," Ecological Modelling, Elsevier, vol. 392(C), pages 212-225.
    3. Movedi, Ermes & Valiante, Daniele & Colosio, Alessandro & Corengia, Luca & Cossa, Stefano & Confalonieri, Roberto, 2022. "A new approach for modeling crop-weed interaction targeting management support in operational contexts: A case study on the rice weeds barnyardgrass and red rice," Ecological Modelling, Elsevier, vol. 463(C).
    4. Bhattarai, Mukesh Dev & Secchi, Silvia & Schoof, Justin, 2017. "Projecting corn and soybeans yields under climate change in a Corn Belt watershed," Agricultural Systems, Elsevier, vol. 152(C), pages 90-99.
    5. Wallace, Carlington W. & Flanagan, Dennis C. & Engel, Bernard A., 2017. "Quantifying the effects of conservation practice implementation on predicted runoff and chemical losses under climate change," Agricultural Water Management, Elsevier, vol. 186(C), pages 51-65.
    6. 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.
    7. Tatsumi, Kenichi, 2016. "Effects of automatic multi-objective optimization of crop models on corn yield reproducibility in the U.S.A," Ecological Modelling, Elsevier, vol. 322(C), pages 124-137.
    8. Movedi, Ermes & Bellocchi, Gianni & Argenti, Giovanni & Paleari, Livia & Vesely, Fosco & Staglianò, Nicolina & Dibari, Camilla & Confalonieri, Roberto, 2019. "Development of generic crop models for simulation of multi-species plant communities in mown grasslands," Ecological Modelling, Elsevier, vol. 401(C), pages 111-128.

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