Process-based spatial models of coupled ecosystem biogeochemistry and
hydrology serve as tools for:
- scenario development and prediction
- information systems integration
- advances in understanding of ecophysiologic, and hydrologic mechanisms (function of macropores, stomatal controls, moisture sensitivity of soil microbes)
- advances in data collections (remote sensing LIDAR, high-temporal resolution stream chemistry).
We use RHESSys as a framework for exploring and testing advances in data-model integration, looking at data-assimilation of temporal and spatial data, efficient calibration techniques representing uncertainty improving model structure –
key areas:
- macro-pore representation
- plant carbon allocation
- vegetation mortality
- hot-spot-hot-moments in soil biogeochemical cycling
Ecohydrology Research Lab 