Spatial Models of Conservation Occurrence
We use a variety of spatially extensive datasets on people, politics, economics, and the environment to understand why conservation happens where it does.
We use a variety of spatially extensive datasets on people, politics, economics, and the environment to understand why conservation happens where it does.
Conserving species ability to move across the landscape is a spatially constrained collective action problem. We develop data and methods to improve the institutions designed to maintain or enhance connectivity
We are developing conservation archetypes by integrating fine-resolution estimates of wildlife governance and management preferences with content analysis of the dominant narratives driving conflict and collaboration in wildlife management to explain spatial patterns in a variety of wildlife conservation actions.
The restoration of culturally important species and systems can have a variety of benefits for people and nature, but challenges existing governance regimes and the power structures embedded in them.
Collaboration and social capital are critical for addressing wildfire risk, but may be socially stratified and opportunistic which has important implications for underserved communities