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Modeling the impact of measured and projected climate and management systems on agricultural fields: Surface runoff, soil moisture, and soil erosion.
Lee, Sanghyun; Moriasi, Daniel N; Fortuna, Ann-Marie; Mirchi, Ali; Danandeh Mehr, Ali; Chu, Maria L; Guzman, Jorge A; Starks, Patrick.
Afiliación
  • Lee S; Oak Ridge Institute for Science and Education (ORISE), El Reno, Oklahoma, USA.
  • Moriasi DN; USDA-ARS, Oklahoma and Central Plains Agricultural Research Center, El Reno, Oklahoma, USA.
  • Fortuna AM; USDA-ARS, Oklahoma and Central Plains Agricultural Research Center, El Reno, Oklahoma, USA.
  • Mirchi A; USDA-ARS, Oklahoma and Central Plains Agricultural Research Center, El Reno, Oklahoma, USA.
  • Danandeh Mehr A; Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, Oklahoma, USA.
  • Chu ML; Department of Civil Engineering, Antalya Bilim University, Antalya, Turkey.
  • Guzman JA; MEU Research Unit, Middle East University, Amman, Jordan.
  • Starks P; Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
J Environ Qual ; 2024 May 11.
Article en En | MEDLINE | ID: mdl-38733256
ABSTRACT
As global climate change poses a challenge to crop production, it is imperative to prioritize effective adaptation of agricultural systems based on a scientific understanding of likely impacts. In this study, we applied an integrated watershed modeling framework to examine the impacts of projected climate on runoff, soil moisture, and soil erosion under different management systems in Central Oklahoma. The proposed model uses measured climate data and three downscaled ensembles from the Coupled Model Intercomparison Project Phase 6 (CMIP6) at the water resources and erosion watershed to understand the impact of climate change and various climate conditions under three management systems (1) continuous winter wheat (Triticum aestivum) under conventional tillage (WW-CT; baseline system), (2) continuous winter wheat under no-till (WW-NT), and (3) cool and warm season forage cover crop mixes under no-till (CC-NT). The study indicates that the occurrence of agricultural drought is projected to increase while erosion rates will remain unchanged under the WW-CT. In contrast, climate simulations imposed on the WW-NT and CC-NT systems significantly reduce runoff and sediment while preserving soil moisture levels. Especially, implementing the CC-NT system can bolster food security and foster sustainable farming practices in Central Oklahoma in the face of a changing climate.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Environ Qual Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Environ Qual Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos