气候变化领域集成服务门户(CCPortal): Modeling the impact of measured and projected climate and management systems on agricultural fields: Surface runoff, soil moisture, and soil erosion

CCPortal

DOI	10.1002/jeq2.20565
	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
发表日期	2024
ISSN	0047-2425
EISSN	1537-2537
英文摘要	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. The projected climate showed an increase in Ta (1.7-2.1 degrees C) and potential evapotranspiration (6%-7%) and a reduction in P (3%-10%). The projected climate-depleted soil moisture levels (3%-6%) in the continuous winter wheat under conventional tillage (WW-CT) system in the study area. A non-significant change in erosion rate in the WW-CT system under the projected climate. Forage cover crop mixes reduced surface runoff (57%-73%) and soil erosion (87%-91%) while preserving soil moisture. In the face of global warming's impact on crop growth, it is crucial to adapt our farming methods effectively. This study investigated how projected climate conditions affect surface water flow, soil moisture, and soil erosion in the Southern Plains region. Using computer simulations, we studied three different farming methods: (1) continuous winter wheat under conventional tillage (baseline system), (2) continuous winter wheat under no-till, and (3) cool and warm season forage cover crop mixes under no-till. The results showed that with the baseline system, there is a projected increase in low water availability for crops, and soil erosion remains a concern. The other two systems can significantly reduce the flow of water and sediment while conserving soil moisture in soils. Especially, incorporating cover crops could increase productivity and foster sustainable farming practices in Central Oklahoma.
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001217943800001
来源期刊	JOURNAL OF ENVIRONMENTAL QUALITY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/293067
作者单位	Oak Ridge Associated Universities; United States Department of Energy (DOE); Oak Ridge Institute for Science & Education; United States Department of Agriculture (USDA); Oklahoma State University System; Oklahoma State University - Stillwater; Antalya Bilim University; Middle East University; University of Illinois System; University of Illinois Urbana-Champaign
推荐引用方式 GB/T 7714	Lee, Sanghyun,Moriasi, Daniel N.,Fortuna, Ann-Marie,et al. Modeling the impact of measured and projected climate and management systems on agricultural fields: Surface runoff, soil moisture, and soil erosion[J],2024.
APA	Lee, Sanghyun.,Moriasi, Daniel N..,Fortuna, Ann-Marie.,Mirchi, Ali.,Danandeh Mehr, Ali.,...&Starks, Patrick.(2024).Modeling the impact of measured and projected climate and management systems on agricultural fields: Surface runoff, soil moisture, and soil erosion.JOURNAL OF ENVIRONMENTAL QUALITY.
MLA	Lee, Sanghyun,et al."Modeling the impact of measured and projected climate and management systems on agricultural fields: Surface runoff, soil moisture, and soil erosion".JOURNAL OF ENVIRONMENTAL QUALITY (2024).