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Field scale SWAT+ modeling of corn and soybean yields for the contiguous United States: National Agroecosystem Model Development

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  • Čerkasova, Natalja
  • White, Michael
  • Arnold, Jeffrey
  • Bieger, Katrin
  • Allen, Peter
  • Gao, Jungang
  • Gambone, Marilyn
  • Meki, Manyowa
  • Kiniry, James
  • Gassman, Philip W.

Abstract

Despite a steady increase in staple crop yields over the past ten years, current agricultural production must escalate even more to keep pace with the expected world population growth, which in turn will require improved agricultural methods that are adapted to many environmental pressures. Comprehensive models that can simulate crop production systems and the impact of management and conservation practices on natural resources and the environment, including water quality at large scale present important contributions to this challenge.

Suggested Citation

  • Čerkasova, Natalja & White, Michael & Arnold, Jeffrey & Bieger, Katrin & Allen, Peter & Gao, Jungang & Gambone, Marilyn & Meki, Manyowa & Kiniry, James & Gassman, Philip W., 2023. "Field scale SWAT+ modeling of corn and soybean yields for the contiguous United States: National Agroecosystem Model Development," Agricultural Systems, Elsevier, vol. 210(C).
    • Handle: RePEc:eee:agisys:v:210:y:2023:i:c:s0308521x23001002
    DOI: 10.1016/j.agsy.2023.103695
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    References listed on IDEAS

    as
    1. Chen, Yong & Marek, Gary W. & Marek, Thomas H. & Porter, Dana O. & Brauer, David K. & Srinivasan, Raghavan, 2021. "Simulating the effects of agricultural production practices on water conservation and crop yields using an improved SWAT model in the Texas High Plains, USA," Agricultural Water Management, Elsevier, vol. 244(C).
    2. Kiniry, James R. & Bean, Brent & Xie, Yun & Chen, Pei-yu, 2004. "Maize yield potential: critical processes and simulation modeling in a high-yielding environment," Agricultural Systems, Elsevier, vol. 82(1), pages 45-56, October.
    3. Strauch, Michael & Volk, Martin, 2013. "SWAT plant growth modification for improved modeling of perennial vegetation in the tropics," Ecological Modelling, Elsevier, vol. 269(C), pages 98-112.
    4. Kiniry, James R. & Williams, J. R. & Gassman, Philip W. & Debacke, P., 1992. "General, Process-Oriented Model for Two Competing Plant Species (A)," Staff General Research Papers Archive 483, Iowa State University, Department of Economics.
    5. Uniyal, Bhumika & Dietrich, Jörg, 2019. "Modifying Automatic Irrigation in SWAT for Plant Water Stress scheduling," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
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    Cited by:

    1. Villani, Lorenzo & Castelli, Giulio & Yimer, Estifanos Addisu & Nkwasa, Albert & Penna, Daniele & van Griensven, Ann & Bresci, Elena, 2024. "Exploring adaptive capacities in Mediterranean agriculture: Insights from Central Italy's Ombrone catchment," Agricultural Systems, Elsevier, vol. 216(C).
    2. Marcinkowski, Paweł & Piniewski, Mikołaj, 2024. "Future changes in crop yield over Poland driven by climate change, increasing atmospheric CO2 and nitrogen stress," Agricultural Systems, Elsevier, vol. 213(C).

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