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Unsung Songbirds: Advances in the Study of Corvid Communication
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Abstract
Corvids are a well-established study system in comparative cognition and social evolution research, yet their vocal communication remains surprisingly understudied compared to other songbirds, which have been central to advancing our understanding of how natural selection shapes communication. With their flexible, context-dependent communication and capacity for vocal learning, corvids represent a particularly promising system for addressing open questions relating to vocal communication. Their diverse ecological and social environments, combined with extensively studied cognitive abilities, make them well-suited for investigating the co-evolution of communication, sociality, and cognition. To unlock the potential of corvids as a system for studying vocal communication, several methodological opportunities and challenges must be addressed. These include the development of experimental designs suited to both wild and captive settings, and the adoption of advanced technologies for data collection in naturalistic environments. Recent advances in data processing—such as machine learning, acoustic classification, and automated tracking—open up promising new avenues for decoding corvid communication. These tools are promising to reshape the field by enabling more fine-grained, large-scale analyses of vocal behaviour. Ultimately, a deeper understanding of corvid vocal communication can significantly enhance our broader understanding of the evolution of animal communication. Furthermore, it holds applied value for improving animal welfare and conservation, including innovations in welfare monitoring and strategies for addressing human-wildlife conflict.
DOI
https://doi.org/10.32942/X2065K
Subjects
Life Sciences
Keywords
animal communication, animal linguistics, bioacoustics, cognition, Corvidae, machine learning, meaning, vocal signals
Dates
Published: 2025-10-24 07:22
Last Updated: 2026-03-30 16:40
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License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data and Code Availability Statement:
Not applicable
Language:
English
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