DEVELOPMENT OF INTEGRATED PREDICTIVE WATER QUANTITY AND QUALITY MODELS TO SUPPORT HEALTHY AGROECOSYSTEMS AND WATER RESOURCE MANAGEMENT.

Our long-term goal with this seed grant is toevaluate how adaptive management of agroecosystems may conserve water and improve water quality. The goal of this project is tocreate innovative modeling tools for irrigators and water resources managers to gain a deeper understanding of physical and biogeochemical fluxes from agroecosystems and their impact on natural resources and environment. We will complete the following objectives to meet these goals:1. Investigate connections between water quantity and quality in the Silver Creek watershed, which hosts substantial agricultural usage and a highly valuable trout fishery.2. Improve an existing predictive water quantity model.3. Develop a combined model that elucidates the stream health implications of predicted water quantity dynamics.4. Develop an online interface for the suite of predictive modelling tools to inform and facilitate discussion amongresource managers and stakeholders to improve the health of this agroecosystem.5. Maintain an open-source code repository for data visualization and interactive modeling tools to provide areproducible mechanism to increase data-informed management regionally.