Lights tuned to the avian eye result in early detection and escape from an approaching aircraft

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Authors

Ryan B Lunn, Bradley Blackwell, Patrice Baumhardt, Isaac Di Domenico, Anne Talbot, Esteban Fernández-Juricic

Abstract

Collisions between birds and aircraft are a global problem. We identified different behavioral parameters affecting the probability of escape to an approaching aircraft, which is a function of the probability that the animal initiates an escape response (probability of reaction) and the probability of having enough time to escape (probability of sufficient time). Lights of high chromatic contrast tuned to the avian eye have been proposed as a solution to mitigate collisions. We approached Canada geese with a drone to estimate how aircraft lighting and changes in altitude, mimicking the flight phase where most strikes occur, affect parameters associated with the probability of escape. Onboard lights increased parameters associated with the probability of reaction at farther distances by promoting longer detection distances, which enabled the animal to initiate each stage of its escape response sooner leading to longer flight initiation distances irrespective of altitude changes. Additionally, onboard lights increased parameters associated with the probability of sufficient time where longer detection distances allowed animals to escape away from (as opposed to towards) the approaching drone. Our findings have implications for the development of light technology to deter birds away from approaching vehicles, and other anthropogenic structures (wind turbines, solar facilities).

DOI

https://doi.org/10.32942/X2B05M

Subjects

Animal Experimentation and Research, Animal Sciences, Animal Studies, Behavioral Neurobiology, Social and Behavioral Sciences

Keywords

Bird & Aircraft Collisions, animal-vehicle collisions, Escape Behavior, Flight-initiation distance, drones, Lights, Hazing

Dates

Published: 2025-01-08 08:17

License

CC BY Attribution 4.0 International

Additional Metadata

Language:
English

Data and Code Availability Statement:
https://osf.io/q57vx/?view_only=cff9808fd73d4493b400bc20fe42aa86