David March

This paper develops a method to predict seabird-vessel interactions using only seabird telemetry data, showing high accuracy but limitations in distinguishing fishing from nonfishing vessels.

The paper develops a simulation-based framework to distinguish between animal-vessel interactions and incidental co-occurrence using tracking data from seabirds and vessels.

The paper identifies bycatch hotspots in tropical tuna purse seine fisheries near Mauritania, Gabon, and Angola using ecological network analyses and community detection, revealing areas with high threatened species composition.

This paper introduces a machine-learning framework to identify Potential Spawning Areas for elasmobranchs using fisheries data and environmental predictors, revealing gaps in marine conservation.