Combining acoustic tracking and LiDAR to study bat flight behaviour in three-dimensional space.

Area of Science:

• Ecology
• Bioacoustics
• Animal Behavior

Background:

• Habitat structure critically influences bat niche differentiation, foraging, and predator avoidance.
• Vegetation structure significantly impacts bat echolocation calls and flight behavior.
• Studying fine-scale bat-habitat relationships in situ is challenging but crucial for understanding ecological roles.

Purpose of the Study:

• To develop and demonstrate a methodology combining Light Detection and Ranging (LiDAR) with acoustic tracking for fine-scale bat habitat use analysis.
• To investigate how vegetation structure shapes bat spatial behavior and niche segregation.
• To provide a framework for detailed studies on bat guild-specific responses to habitat characteristics.

Main Methods:

• Utilized Light Detection and Ranging (LiDAR) to create 3D vegetation structure maps.
• Employed acoustic tracking with microphone arrays to monitor bat movements and calls.
• Classified bat calls to guild using automated identification and spatially aligned tracking data with LiDAR vegetation data.

Main Results:

• Demonstrated the feasibility of combining LiDAR and acoustic tracking for studying bat-habitat relationships.
• Identified stereotyped flight patterns of pipistrelles around tree trunks.
• Quantified bat distances to vegetation, including in response to artificial light, showcasing the method's potential.

Conclusions:

• The integrated approach allows for detailed study of bat guild-specific spatial behavior in relation to precise vegetation structure.
• This methodology can address key questions in bat ecology, including niche segregation and responses to abiotic factors.
• The technique offers potential for studying other vocalizing animals' movement patterns in 3D reconstructed environments.