Publications by authors named "Francesca Terranova"
Passive Acoustic Monitoring (PAM), which involves using autonomous record units for studying wildlife behaviour and distribution, often requires handling big acoustic datasets collected over extended periods. While these data offer invaluable insights about wildlife, their analysis can present challenges in dealing with geophonic sources. A major issue in the process of detection of target sounds is represented by wind-induced noise.
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- Global biodiversity, especially seabird populations like the African penguin, is declining, necessitating effective conservation strategies and population monitoring tools.
- The research explored the use of passive acoustic monitoring (PAM) to estimate animal populations by analyzing ecstatic display songs (EDSs) in a penguin colony, revealing that environmental factors influence calling rates.
- Findings indicated that there’s a positive correlation between calling rates and visual counts of penguins, suggesting PAM is a feasible, noninvasive method for monitoring endangered species while highlighting the potential impact of temperature on calling behavior and population dynamics.
Animal vocalisations encode a wide range of biological information about the age, sex, body size, and social status of the emitter. Moreover, vocalisations play a significant role in signalling the identity of the emitter to conspecifics. Recent studies have shown that, in the African penguin (Spheniscus demersus), acoustic cues to individual identity are encoded in the fundamental frequency (F) and resonance frequencies (formants) of the vocal tract.
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