Core Staff

Brian Folt (he/him) is an applied population biologist who is interested in supporting good decisions in natural resource management. His research combines multi-faceted data collection in the field with robust, cutting-edge quantitative analytical methods to address the needs of wildlife managers and conservationists. Brian’s quantitative expertise is centered on using Bayesian hierarchical methods to estimate and model the vital rates that drive the dynamics of populations, species, and wildlife communities through time. Brian has worked with diverse organisms (ungulates, amphibians, reptiles), ecosystems (western rangelands, long-leaf pine forests, tropical rain forests), and questions (theoretical and applied), but his research is currently focused on two topics: the ecology and conservation of imperiled species in the face of global change, and decision analysis to support natural resource management decisions. Brian’s work is cooperator-driven and he strives to work closely with cooperating agencies to provide adaptive solutions to their needs. Brian holds a PhD from Auburn University and a BS from Ohio University. You can read more about his previous and ongoing work on his personal website (brianfolt.github.io).