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Using Video Footage for Observing Honey Bee Behaviour at Hive Entrances
Foundation Nordens Ark, Åby säteri, Hunnebostrand, Sweden ; Queen’s University Belfast, School of Biological Sciences, UK.ORCID iD: 0000-0003-4657-9567
University of Skövde, School of Bioscience. University of Skövde, Systems Biology Research Environment. (Ecological Modeling)ORCID iD: 0000-0002-3985-8405
University of Skövde, School of Bioscience. University of Skövde, Systems Biology Research Environment. (Ecological Modeling)ORCID iD: 0000-0002-2055-4284
Foundation Nordens Ark, Åby säteri, Hunnebostrand, Sweden ; Swedish University of Agricultural Sciences, Sweden.
2022 (English)In: Bee World, ISSN 0005-772X, E-ISSN 2376-7618, Vol. 99, no 4, p. 139-142Article in journal (Refereed) Published
Abstract [en]

Video recording is a common method to study animal behaviour. In honey bee studies, short video-recordings are often used to learn more about a behaviour, but rarely used for their quantification. Standard methods for observing bee behaviour involve behavioural assays or direct observation of a limited subset of marked bees within an observation hive. This means that behaviour at the hive entrance may be overlooked. Here we describe a 4-camera set up for the study of behaviour at hive entrances. With minimal disturbance, we were able to record and quantify all previously described behaviours (9 in total - including self-grooming in drones) on and around the hive entrance. We briefly discuss the general feasibility of video footage and the relative frequency of each observed behaviour. Our conclusion is that video footage is a useful and perhaps overlooked method for unbiased quantification and comparisons of bee behaviour at the hive entrance. With this paper we are publishing some example short video-recordings as online supplementary material for educational purposes.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2022. Vol. 99, no 4, p. 139-142
National Category
Behavioral Sciences Biology Environmental Sciences Ecology
Research subject
Ecological Modelling Group
Identifiers
URN: urn:nbn:se:his:diva-21720DOI: 10.1080/0005772x.2022.2106739OAI: oai:DiVA.org:his-21720DiVA, id: diva2:1690000
Funder
Interreg, 2020-1923
Note

CC BY-NC-ND 4.0

Published online: 23 Aug 2022

Copyright © 2022 Informa UK Limited

Email: mats.niklasson@nordensark.se

Milkywire and Trädgårdsresan provided financial support for technical equipment and salary to EC. MN, SL and NN were funded by INTERREG Project number 2020-1923 'BIstånd till Nordiska bin'.

Available from: 2022-08-24 Created: 2022-08-24 Last updated: 2025-09-29Bibliographically approved

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Leidenberger, SonjaNorrström, Niclas

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