We are modeling species- and population-level growth responses to changes in climate using provenance and common garden tests data to understand forest tree species adaptation to climate.
We are working in downscaling forest communities and species habitat suitability models to match the scale at which management decisions occur.
Our research in this area spans work on improving plot design to optimize estimation, simulating tree spatial patterns in forests, and modeling forest attributes such as canopy height and density with inventory, topographic, and remotely sensed data.
Our research focuses on modeling the biotic, abiotic and management conditions that lead to the regeneration of mixed-oak forests, and on modeling advance regeneration of northeastern forests tree species.
