Location: Agroclimate and Hydraulics Research Unit
Title: Modeling the impacts of climate change and management practices on agricultural fields: Surface runoff and soil moisture contentAuthor
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LEE, SANGHYUN - Orise Fellow |
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Moriasi, Daniel |
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Fortuna, Ann-Marie |
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MIRCHI, ALI - Oklahoma State University |
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DANANDEH MEHR, ALI - Antalya Bilim University |
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CHU, MARIA - University Of Illinois |
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GUZMAN, JORGE - University Of Illinois |
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Starks, Patrick |
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Submitted to: Meeting Abstract
Publication Type: Abstract Only Publication Acceptance Date: 9/14/2023 Publication Date: 10/30/2023 Citation: Lee, S., Moriasi, D.N., Fortuna, A., Mirchi, A., Danandeh Mehr, A., Chu, M., Guzman, J., Starks, P.J. 2023. Modeling the impacts of climate change and management practices on agricultural fields: Surface runoff and soil moisture content. Abstract. ASA, CSSA, SSSA International Annual Conference, St. Louis, MO. Oct 29 - Nov 1, 2023 Interpretive Summary: Technical Abstract: The Long-Term Agroecosystem Research (LTAR) network seeks to inform national strategies for sustainable intensification of agricultural production. LTAR monitoring sites provide data for applied research to improve or maintain productivity, and keep the environment clean under a changing climate. In this study, we will use a hydrologic model to determine the impacts of climate change on surface runoff and soil moisture under current and aspirational production systems within the Southern Plains area. We will use three downscaled ensembles from the Coupled Model Intercomparison Project Phase 6 (CMIP6) Global Climate Models (GCMs) and historical climate data from four LTAR sites in different climate zones across the United States for a total of 7 climate scenarios to understand the roles of climate change and various climate conditions in agricultural fields. Three agricultural management systems will be evaluated: (1) continuous winter wheat under conventional tillage with moldboard plow (current system), (2) continuous winter wheat under no-till, and (3) cool and warm season forage cover crop mixes under no-till (aspirational systems, ASPs). Results will provide insights into potential impacts of changes in soil moisture and runoff production due to the effects of different combinations of climates and management practices. This modeling effort will help assess the resilience of production systems under future climate scenarios. The assessment of ASPs under a changing climate is expected to help producers to adapt their practices to minimize risk in production losses and environmental impacts. “USDA is an equal opportunity provider and employer.” |
