William F. Fagan

This study determines the optimal number of comparison steps needed for accurate step selection function estimates in animal movement studies.

This paper develops a workflow and tool to optimize sample sizes in animal tracking projects for robust population-level inferences.

This study examines how changing lake ice conditions influence caribou migration behavior using GPS data and remote sensing, identifying seasonal thresholds for crossing decisions.

The paper identifies a morphological gap in songbirds that suggests competitive exclusion limited evolutionary opportunities in the Passeroidea.

The paper shows phylogeny explains most variation in insect elemental composition, followed by temperature, body mass, trophic group, and habitat.

The paper introduces a new population-dynamics model that incorporates range-resident movement, showing how it affects carrying capacity and population size estimates.

The paper introduces local corrections to kernel density estimation to reduce spillover bias in home range estimation and demonstrates their effectiveness through simulations and a case study.

This paper introduces a new population kernel density estimator (PKDE) to improve space use estimation for animal populations by accounting for temporal autocorrelation and inter-individual variation, showing it outperforms traditional methods.

This paper introduces random forests to infer nonlinear step selection effects in animal movement, showing they outperform traditional methods and confirm hypothesized step functions in wolf data.

The paper uses a dynamical model to show that oxygen rise drove methane cycle cyclicity, linking it to ancient climate and glacial events.

The paper models microbial community dynamics using a continuous trait space framework, finding that mutation size and mobility best explain diversity patterns, and community formation time influences diversity profiles.