In 275.9 hours of recordings from 65 dolphin sightings, the authors analyzed 906 high-quality signature whistles from 54 individuals and report that boat presence is associated with consistently higher signature-whistle maximum and end frequencies across social/behavioral/environmental contexts (tested in GLMMs with SW-ID as a random effect), while duration and inflection-point count are largely unaffected.
If validated elsewhere, a monitoring pipeline that detects signature-whistle maximum/end-frequency shifts could offer a lower-effort disturbance indicator than long-term visual demographic monitoring. The paper also positions its approach as compatible with automated acoustic detection and analysis workflows.
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