Justin A. Kitzes

This paper develops a Bayesian hierarchical calibration method for acoustic classifiers to estimate site-level vocal density with uncertainty, improving accuracy and efficiency over global or site-specific approaches.

The paper uses LiDAR and audio recordings to identify forest structural factors influencing eastern whip-poor-will abundance in Pennsylvania.

This paper introduces an automated method to identify individual birds by song, enabling multi-year recapture from acoustic data with 96% accuracy.