The tradeoff between signal detection and recognition rules auditory sensitivity under variable background noise...

Area of Science:

• Animal communication
• Bioacoustics
• Evolutionary biology

Background:

• Acoustic communication in animals is often hindered by background noise.
• Ambient noise (AN) varies significantly across habitats and over time, impacting sound perception.
• The evolutionary pressures shaping auditory sensitivity in response to noise are not fully understood.

Purpose of the Study:

• To explore the evolutionary mechanisms driving auditory sensitivity in animals under variable ambient noise conditions.
• To develop a fitness model predicting optimal hearing sensitivity based on noise levels and signal recognition costs.

Main Methods:

• Development of a simple fitness model to simulate the detection and recognition of acoustic signals.
• Analysis of the trade-offs between auditory detection and signal recognition under varying noise masking.

Main Results:

• The model predicts that higher hearing sensitivity (lower thresholds) is optimal in quiet habitats.
• Conversely, lower hearing sensitivity (higher thresholds) is predicted as optimal in noisy habitats, especially when the cost of misrecognition is high.
• A trade-off between signal detection and recognition significantly influences optimal hearing sensitivity.

Conclusions:

• Optimal auditory sensitivity in animals is shaped by the interplay of ambient noise levels and the costs associated with signal misrecognition.
• Species-specific adaptations in hearing sensitivity are likely driven by the need to balance efficient communication with the challenges posed by environmental noise.