Integrating robotics into wildlife conservation: testing improvements to predator deterrents through movement

Area of Science:

• Wildlife conservation
• Agricultural science
• Robotics engineering

Background:

• Human-wildlife conflict, particularly livestock predation, poses challenges in shared agricultural landscapes.
• Integrating new technologies into farming practices can mitigate these conflicts.
• Robotics and agricultural concepts can inform the development of effective predator deterrents.

Purpose of the Study:

• To explore how integrating robotics (automated, adaptive movement) with agricultural practices can improve predator deterrents.
• To assess the efficacy of different predator deterrent strategies using a model system.

Main Methods:

• A captive coyote colony was used to simulate predation events on meat baits.
• A remote-controlled vehicle equipped with a predator deterrent (Foxlight) was tested with three treatments: light only, predetermined movement, and adaptive movement.
• Bait consumption time was analyzed using a time-to-event survival analysis.

Main Results:

• Bait survival was higher within protected zones.
• Predetermined movement doubled the efficacy of light-only deterrents, while adaptive movement exponentially increased bait survival time.
• Both inside and outside protected zones, adaptive movement proved most effective.

Conclusions:

• Robotics capabilities, specifically predetermined and adaptive movement, can significantly enhance the protection of agricultural resources.
• Combining agricultural practices with new technologies like robotics is crucial for effective wildlife deterrents.
• This study supports the development of advanced, nonlethal tools for wildlife management and human-wildlife coexistence.