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Climate Change Impacts on Surface Runoff and Nutrient and Sediment Losses in Buchanan County, Iowa

Author

Listed:
  • Edward Osei

    (Department of Agriculture Education and Communication, Tarleton State University, Stephenville, TX 76402, USA)

  • Syed H. Jafri

    (Department of Accounting, Finance, and Economics, Tarleton State University, Stephenville, TX 76402, USA)

  • Philip W. Gassman

    (Center for Agricultural and Rural Development, Iowa State University, Ames, IA 50011, USA)

  • Ali Saleh

    (Texas Institute for Applied Environmental Research, Tarleton State University, Stephenville, TX 76402, USA)

  • Oscar Gallego

    (Texas Institute for Applied Environmental Research, Tarleton State University, Stephenville, TX 76402, USA)

Abstract

Nonpoint source pollution from cultivated croplands has often been associated with downstream water quality impairment in various watersheds. Given projected changes in global climate patterns, this study contributes to the existing literature by elucidating the impacts of climate projections on edge-of-field surface runoff and sediment and nutrient losses. We apply a well-tested ecohydrological model, Agricultural Policy Environmental eXtender (APEX), to continuous corn and corn–soybean fields in Buchanan County, Iowa, using climate scenarios developed from three well-known representative concentration pathway (RCP) climate projections: RCP 2.6, RCP 4.5, and RCP 8.5. Our results indicate that there will be a moderate to substantial increase in surface runoff, sediment, and nutrient losses depending upon the reference point of comparison (baseline scenario) and upon which climate scenario actually materializes. However, regardless of which climate scenario materializes and regardless of the baseline for comparison, soluble nitrogen losses are bound to increase, the magnitude depending upon the climate scenario. We find also that nutrient losses will be higher from continuous corn fields than from corn–soybean fields, given the tillage practices implemented on corn versus soybeans in the study area. Similarly, we find that nutrient losses may be higher from fields that receive manure than fields that receive only inorganic fertilizer, though this latter finding may be predicated upon the specific nutrient application rates utilized.

Suggested Citation

  • Edward Osei & Syed H. Jafri & Philip W. Gassman & Ali Saleh & Oscar Gallego, 2023. "Climate Change Impacts on Surface Runoff and Nutrient and Sediment Losses in Buchanan County, Iowa," Agriculture, MDPI, vol. 13(2), pages 1-21, February.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:2:p:470-:d:1070493
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    References listed on IDEAS

    as
    1. Li, Tianyang & Zhang, Yi & He, Binghui & Wu, Xiaoyu & Du, Yingni, 2022. "Nitrate loss by runoff in response to rainfall amount category and different combinations of fertilization and cultivation in sloping croplands," Agricultural Water Management, Elsevier, vol. 273(C).
    2. Edward Osei & Syed H. Jafri & Ali Saleh & Philip W. Gassman & Oscar Gallego, 2023. "Simulated Climate Change Impacts on Corn and Soybean Yields in Buchanan County, Iowa," Agriculture, MDPI, vol. 13(2), pages 1-21, January.
    3. Timlin, Dennis & Chun, Jong Ahn & Meisinger, John & Kang, Kwangmin & Fleisher, David & Staver, Ken & Doherty, Craig & Russ, Andrew, 2019. "Evaluation of the agricultural policy environmental extender (APEX) for the Chesapeake Bay watershed," Agricultural Water Management, Elsevier, vol. 221(C), pages 477-485.
    4. 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.
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    1. Edward Osei & Syed H. Jafri & Philip W. Gassman & Ali Saleh, 2023. "Simulated Ecosystem and Farm-Level Economic Impacts of Conservation Tillage in a Northeastern Iowa County," Agriculture, MDPI, vol. 13(4), pages 1-22, April.

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    More about this item

    Keywords

    climate change; sediment losses; nutrient losses; APEX; CMIP5; PRISM;
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