Justin M. Calabrese

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

The paper shows that river basin shape affects fish biodiversity by altering connectivity, with elongated basins having lower species richness and higher turnover.

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 a method to simultaneously estimate changepoints and model parameters in switching dynamical systems, demonstrating its effectiveness through simulations and a real-world COVID-19 case study.