Characterizing behaviors of highly mobile anglers to prevent the spread of aquatic invasive species

Anglers can contribute to the spread of aquatic invasive species by moving among waterbodies. Angler movement data have been used to predict invasions, but few studies have explored behaviors and preferences associated with highly transient anglers, or those that frequently move between waterbodies within timeframes that allow invasive organism survival. This study leveraged catch log data from an angler app and machine learning to predict angler transience and identify behaviors and preferences that influence mobility. We found that angler avidity, characterized by higher catch rates, frequent fishing trips to diverse locations, and consistent fishing regardless of the day or weather, was associated with transient behavior. Transience was not strongly linked to a preference for specific target species, suggesting that highly mobile anglers are not confined to a particular species-focused group. Our findings identify the behavioral profile of transient anglers, enabling targeted outreach and management efforts to prevent aquatic invasive species.