No evidence of social learning in a socially roosting butterfly in an associative learning task

Priscila Moura*, Márcio Z. Cardoso, Stephen H Montgomery*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

5 Citations (Scopus)
36 Downloads (Pure)

Abstract

Insects may acquire social information by active communication and through inadvertent social cues. In a foraging setting, the latter may indicate the presence and quality of resources. Although social learning in foraging contexts is prevalent in eusocial species, this behaviour has been hypothesized to also exist between conspecifics in non-social species with sophisticated behaviours, including Heliconius butterflies. Heliconius are the only butterfly genus with active pollen feeding, a dietary innovation associated with a specialized, spatially faithful foraging behaviour known as trap-lining. Long-standing hypotheses suggest that Heliconius may acquire trap-line information by following experienced individuals. Indeed, Heliconius often aggregate in social roosts, which could act as ‘information centres’, and present conspecific following behaviour, enhancing opportunities for social learning. Here, we provide a direct test of social learning ability in Heliconius using an associative learning task in which naive individuals completed a colour preference test in the presence of demonstrators trained to feed randomly or with a strong colour preference. We found no evidence that Heliconius erato, which roost socially, used social information in this task. Combined with existing field studies, our results add to data which contradict the hypothesized role of social learning in Heliconius foraging behaviour.
Original languageEnglish
Number of pages6
JournalBiology Letters
Volume19
Issue number5
DOIs
Publication statusPublished - 17 May 2023

Bibliographical note

Funding Information:
M.Z.C. thanks CNPq for funding (grant no. 306985/2013-6). S.H.M. is grateful for funding from NERC IRF (grant no. NE/N014936/1), ERC Starting Grant (grant no. 758508) and Web of Science Researcher ID: D-4683-2009. Acknowledgements

Publisher Copyright:
© 2023 The Author(s).

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