We study how landscapes influence wild animal populations from fundamental and applied perspectives. We conduct fundamental research that tests hypotheses about how habitat influences the dynamics of animal populations, and then we work to understand how populations, habitats, and landscapes can be managed in ways that maximize important societal values, such as recovering populations of imperiled species, maximizing ecosystem health, maximizing recreational value (e.g., hunting opportunity), and minimizing fiscal spending. These science products provide information to support decisions made by natural resource management agencies.

For this reason, we work closely with cooperators and decision makers to help them navigate the complex decisions they face. To do this, we use decision analysis tools (e.g., structured decision making) to improve shared understanding of problems, objectives, alternatives, and important trade-offs in the decision. This work often takes a co-production approach, where we work together as a group to understand the problem, build science products, and improve decision-support products in an iterative fashion. End products include reports, science articles, and dynamic computer applications that, for example, use predictive models to estimate the usefulness of alternatives might achieve different objectives during decisions.

Our work is collaborative in nature and we rely on diverse teams of students, post-docs, scientists, experts, and decision makers. Together, we create well-rounded teams that work collaboratively to understand problems, build products, and communicate actionable science to decision makers.

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