Forest Change Analysis Lab

Disturbance ecology   |   Forest management   |   Data science

The Forest Change Analysis Lab (FOCAL) at the University of California, Davis works at the intersection of disturbance ecology and data science. We collect and analyze data to inform forest management in an era of climate change, drought, and large high-severity wildfires. We rely as much on large geospatial datasets as on field-based measurements of forests. We work closely with forest managers in an effort to address pressing forest management needs.

Current research

Drone-based forest mapping

Drone-based forest mapping

Developing methods to map forests at the individual tree level using drones, photogrammetry, and computer vision

Early post-fire regeneration

Early post-fire regeneration

Using drone and field data to understand how well post-fire regeneration is explained by very early (1-2 years post-fire) canopy conditions

Conifer seed production and dispersal

Conifer seed production and dispersal

Combining drone-based tree maps and field surveys to model seed dispersal and tree regeneration across post-fire landscapes

Fuel accumulation and reburn severity

Fuel accumulation and reburn severity

Analyzing statewide fire severity data to model fuel accumulation rates and predict fire seveirty in reburns

Predictability of regeneration trajectories

Predictability of regeneration trajectories

Revisiting existing post-fire vegetation plots to assess how well the initial regeneration response predicts the longer-term trajectory

Understanding reforestation outcomes

Understanding reforestation outcomes

Collecting and analyzing field data to understand the drivers of post-fire reforestation outcomes

Forest mortality and recovery

Forest mortality and recovery

Analyzing large geospatial and plot-based datasets to understand drivers of drought-related forest mortality and the potential for post-drought recovery

Contact