Social learning about dangerous people by wild jackdaws.

cognition corvid fear learning human-wildlife conflict social learning urban ecology

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 07 06 2019
accepted: 12 08 2019
entrez: 11 10 2019
pubmed: 11 10 2019
medline: 11 10 2019
Statut: epublish

Résumé

For animals that live alongside humans, people can present both an opportunity and a threat. Previous studies have shown that several species can learn to discriminate between individual people and assess risk based on prior experience. To avoid potentially costly encounters, it may also pay individuals to learn about dangerous people based on information from others. Social learning about anthropogenic threats is likely to be beneficial in habitats dominated by human activity, but experimental evidence is limited. Here, we tested whether wild jackdaws (

Identifiants

pubmed: 31598321
doi: 10.1098/rsos.191031
pii: rsos191031
pmc: PMC6774944
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.4663928']

Types de publication

Journal Article

Langues

eng

Pagination

191031

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/H021817/1
Pays : United Kingdom

Informations de copyright

© 2019 The Authors.

Déclaration de conflit d'intérêts

We declare we have no competing interests.

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Auteurs

Victoria E Lee (VE)

College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, Cornwall TR10 9FE, UK.

Noémie Régli (N)

Faculté des Sciences et Techniques, Université Jean Monnet, 23 Rue du Dr Paul Michelon, 42100 Saint-Étienne, France.

Guillam E McIvor (GE)

College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, Cornwall TR10 9FE, UK.

Alex Thornton (A)

College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, Cornwall TR10 9FE, UK.

Classifications MeSH