Rob uses geospatial analytics to examine long-term landscape health, specifically with regards to climate change and human activities, management and values. He develops process-based mechanistic models to forecast landscape change, to inform policy choices both regionally and globally. His interests also include participatory GIS with stakeholders and using visualization tools to support decision-making.
Roles
Publications
- A new agent-based model provides insight into deep uncertainty faced in simulated forest management (2021)
- Forecasting for intended consequences (2021)
- Increased burning in a warming climate reduces carbon uptake in the Greater Yellowstone Ecosystem despite productivity gains (2021)
- Intended consequences statement (2021)
- Landscape-Scale Forest Reorganization Following Insect Invasion and Harvest Under Future Climate Change Scenarios (2021)
- Resistance and Resilience of Hyrcanian Mixed Forests Under Natural and Anthropogenic Disturbances (2021)
- Walking through the forests of the future: using data-driven virtual reality to visualize forests under climate change (2021)
- Warming increased bark beetle-induced tree mortality by 30% during an extreme drought in California (2021)
- Base-Hurricane: A new extension for the Landis-II forest landscape model (2020)
- Co-designed management scenarios shape the responses of seasonally dry forests to changing climate and fire regimes (2020)