To understand how a complex interplay of factors—such as climate uncertainty, economic considerations, agricultural productivity, and social and environmental heterogeneity—influences water conservation policies, there is a pressing need for a versatile modeling framework. To fill this gap, we introduce the Crop-Hydrological-Agent Modeling Platform (CHAMP). This integrated modeling platform considers variables like crop yields, energy consumption, groundwater dynamics, and farmers' decision-making to offer a holistic assessment of water conservation strategies for sustainable groundwater management. We apply CHAMP to the SD-6 Local Enhanced Management Area (LEMA) in western Kansas, USA, a region of the High Plains Aquifer that is critically overexploited. Although SD-6 LEMA has achieved notable success in water conservation through community-driven governance, the contributing factors remain unclear. CHAMP serves as an analytical tool to unravel these underlying dynamics. The insights and methodologies developed through this research have the potential to inform and refine sustainable groundwater management strategies, both by leveraging the capabilities of CHAMP and by generalizing the demonstrated success of the SD-6 LEMA initiative.
