Evidence map›Paper›PMID 41984251›Full record

ArticleAnimal cognition2026

Editorial: vocal communication in corvids.

Claudia A F Wascher, Valérie Dufour

Abstract readEditorial
In one paragraph

Article in Animal cognition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Claudia A F WascherCentre for Ecology, Evolution and the Environment, School of Life Sciences, Anglia Ruskin University, Cambridge, UK. claudia.wascher@gmail.com.
Valérie DufourLaboratoire de Psychologie Sociale et Cognitive, CNRS-UCA, Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corvids are one of the most prominent avian taxa for the study of animal behaviour and cognition, yet their vocal communication remains comparatively understudied. This special collection synthesizes current research on the ontogeny, mechanisms, functions, and evolutionary trajectories of corvid vocal systems through the lens of Tinbergen’s four questions. Contributions highlight early emergence of vocal individuality and socio-contextual plasticity in vocal behaviour across development. Corvid vocal sequences often conform to linguistic laws like Menzerath’s law, while also exhibiting context-sensitive modulation. Experimental work demonstrates advanced vocal flexibility and cognitive control: rooks can learn human verbal commands by attending primarily to auditory cues, and perceive rhythmic variations and flexibly adjust vocal timing in response to tempo and metrical changes, even without full entrainment, positioning corvids as promising models for exploring the evolutionary roots of rhythm and musicality. Field-based experiments show that female jackdaws recognize mates’ contact calls under natural conditions, supporting social coordination and pair-bond stability. Phylogenetic analyses demonstrate how ecological pressures and social complexity shape acoustic structure across the Corvidae family, while novel biologging and machine-learning approaches promise to overcome methodological challenges in studying vocal communication in corvids. Together, these findings position corvids as a powerful model for exploring the evolution of communication systems and their cognitive underpinnings.

Indexed as

CrowsVocalization, AnimalAnimalsBiological EvolutionFemaleCorvidsOntogenyPhylogenyProximate mechanismsTinbergen’s 4 whysVocal communication

Identifiers

PMID41984251
PMCPMC13083436

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.