Our goal is to bring rigorous and principled science to difficult ecological management problems.  Management problems are uncertainty problems, so we focus on modeling knowledge/uncertainty in the systems we study.

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Within the green ecology circle to the right, we typically work at the intersection of animal behavior, population dynamics, and environmental change. 

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Within the blue quantification circle, we often use Bayesian analysis, mixed effects models, stochastic dynamic programming, calculus, and numerical simulation methods.  

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We are applied ecologists, devoting our time to species with pre-existing management needs (steelhead, burbot, caribou, mammal predators, mule deer).  Management professionals are critical partners in each project we do.  These partners provide critical insights to species life history and the social context of management actions.

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We use and develop decision theory.  From capturing complex decisions with Bayesian belief networks to tedious calculations of the value of new information, decision theory provides tools and organizing principles that helps insure our applied ecology is applied.