Ecological Simulation
Our science team works to advance the state of the art in forest growth modeling, by understanding the effects of different restoration strategies and risk factors that could affect their outcomes.
We fuse data, machine learning, and process-based modeling techniques to provide detailed, accurate ecological insights on land restoration outcomes.