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Research in our lab provides information that contributes to the conservation or management of wildlife species and influences the way species and landscapes are managed. We study the spatial ecology of species, investigating how spatial landscape patterns influence the distribution, density, or dynamics of animal populations. Much of our focus is on understanding how spatial variation in the environment influences resource use, movements, and population ecology of species. We employ methods for population estimation that incorporate spatial or landscape processes, linking population ecology and landscape ecology.

Our focus on decision science allows us to contribute to informed conservation and management decision making. We apply structured decision making (SDM) and adaptive management to guide natural resource management and policy outcomes. SDM is a process for helping to make management or policy decisions in a clear and transparent way, and involves evaluating how well alternative management strategies do at achieving objectives that have been identified by the decision maker(s) and stakeholders. This work integrates quantitative modeling to help predict outcomes of the management strategies that were developed to achieve the stated objectives.