Improved Forest Processes Enhance Hydrological Predictions in Watershed Modeling

Explore a 14-minute conference presentation from the Georgia Water Resources Conference that examines how improving forest process representations in watershed modeling leads to better hydrological predictions. Learn about the critical role forests play in watershed hydrology through rainfall interception, evapotranspiration, soil moisture dynamics, and more. Discover how researchers enhanced the plant database of the Soil and Water Assessment Tool (SWAT) and tested new parameterization methods in Florida and Georgia watersheds. Examine the improved predictions for Leaf Area Index (LAI), biomass, and evapotranspiration compared to MODIS and USDA reference data, with Nash-Sutcliffe Efficiency scores exceeding 0.6. Understand how the combined improvements in LAI, biomass, and ET modeling resulted in optimal watershed-level predictions for both streamflow and baseflow, highlighting the importance of considering terrestrial-aquatic process interactions in watershed modeling.