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.

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Unsung Songbirds: Advances in the Study of Corvid Communication

Unsung Songbirds: Advances in the Study of Corvid Communication

This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.

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Authors

Claudia Wascher , Vittorio Baglione, Thomas Bugnyar, Daniela Canestrari, Anne B. Clark, Maddie Cusimano, Julie E. Elie, Pawel Fedurek, Lena Gies, Cédric Girard-Buttoz, Michael Griesser, Luca G. Hahn, Friederike [freddy] Hillemann , Benjamin Hoffman, Barbara C. Klump, Ellis J.G. Langley, Diana A. Liao, Killian Martin, Anna N. Osiecka, Simone Pika, Samuel Richardson, Christian Rutz, Ambre Salis, Sabrina Schalz, Dan Stowell, Alex Thornton, Alizée Vernouillet, Miyako H. Warrington, Lutz Wehrland, Valerie Dufour 

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