2024
DOI: 10.1098/rsos.231713
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Vocal complexity in a socially complex corvid: gradation, diversity and lack of common call repertoire in male rooks

Killian Martin,
Francesca M. Cornero,
Nicola S. Clayton
et al.

Abstract: Vocal communication is widespread in animals, with vocal repertoires of varying complexity. The social complexity hypothesis predicts that species may need high vocal complexity to deal with complex social organization (e.g. have a variety of different interindividual relations). We quantified the vocal complexity of two geographically distant captive colonies of rooks, a corvid species with complex social organization and cognitive performances, but understudied vocal abilities. We quantified the diversity an… Show more

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Cited by 5 publications
(3 citation statements)
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“…Calls from different individuals from the same colony or nest cluster are not more acoustically similar than calls from individuals in different colonies or different nest clusters, and accordingly do not cluster together, as shown by the UMAP projection. An individual signature had already been detected in the most common “caw” calls of male rooks (Benti et al, 2019), although subsequent analysis showed that this could be due to a lack of common call types in the repertoires of male rooks (Martin et al, 2024). Females do however share common call types regardless of their origin, including the nest call.…”
Section: Discussionmentioning
confidence: 99%
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“…Calls from different individuals from the same colony or nest cluster are not more acoustically similar than calls from individuals in different colonies or different nest clusters, and accordingly do not cluster together, as shown by the UMAP projection. An individual signature had already been detected in the most common “caw” calls of male rooks (Benti et al, 2019), although subsequent analysis showed that this could be due to a lack of common call types in the repertoires of male rooks (Martin et al, 2024). Females do however share common call types regardless of their origin, including the nest call.…”
Section: Discussionmentioning
confidence: 99%
“…The acoustic distance between calls was estimated using the Dynamic Frequency-Time Warping (DFTW) distance (see Martin et al, 2024 for details). This distance finds the optimal alignment between two spectrograms, first along the time axis, then along the frequency axis, and finally along the time axis again.…”
Section: Methodsmentioning
confidence: 99%
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