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Detecting and Tracking the Positions of Wild Ungulates Using Sound Recordings
Salem Ibrahim Salem1,2, Kazuhiko Fujisao3,4, Masayasu Maki5
1Faculty of Engineering, Kyoto University of Advanced Science, 18 Yamanouchi Gotanda-cho, Ukyo-ku, Kyoto 615-8577, Japan.
Wildlife managers can now track deer movement using a novel acoustic system. This method uses sound recordings from multiple devices to pinpoint deer locations, aiding population estimation and reducing ecosystem damage.
Area of Science:
- Wildlife Ecology
- Bioacoustics
- Animal Tracking Technology
Background:
- Wild ungulate populations are increasing globally, leading to significant ecosystem damage.
- Accurate population and habitat estimation are crucial for effective wildlife management.
- Traditional monitoring methods like light census surveys are inaccurate and labor-intensive, especially in challenging terrains.
Purpose of the Study:
- To introduce a new technique for detecting and tracking wild deer positions using sound recordings.
- To address limitations of existing wildlife monitoring methods, including those using unmanned aerial vehicles and passive acoustic monitoring.
- To develop a system capable of overcoming time-drift issues in recorders for precise positioning.
Main Methods:
- A novel acoustic technique utilizing the time lag between three sound recorders to estimate deer positions.
- Development of a sound recording system synchronized with GPS satellite time information to prevent internal clock drift.
- Validation of the technique in both experimental and natural environments, including Oze National Park.
Main Results:
- The proposed technique demonstrated reasonable accuracy in determining deer positions in various environments.
- The system successfully identified and tracked deer calls, enabling the elimination of repetitive sounds from the same individual.
- Over a two-hour period in Oze National Park, the technique showed great potential for tracking deer movement.
Conclusions:
- This acoustic positioning technique offers a promising tool for tracking deer movement and potentially estimating population sizes.
- It represents a significant advancement towards automated wildlife monitoring systems for vocal species.
- The method overcomes key limitations of current wildlife monitoring techniques, particularly in difficult-to-access areas.
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