Long-term trends in the honeybee ‘whooping signal’ revealed by automated detection

Ramsey, M, Bencsik, M ORCID: 0000-0002-6278-0378 and Newton, MI ORCID: 0000-0003-4231-1002, 2017. Long-term trends in the honeybee ‘whooping signal’ revealed by automated detection. PLOS ONE, 12 (2), e0171162. ISSN 1932-6203

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Abstract

It is known that honeybees use vibrational communication pathways to transfer information. One honeybee signal that has been previously investigated is the short vibrational pulse named the ‘stop signal’, because its inhibitory effect is generally the most accepted interpretation. The present study demonstrates long term (over 9 months) automated in-situ noninvasive monitoring of a honeybee vibrational pulse with the same characteristics of what has previously been described as a stop signal using ultra-sensitive accelerometers embedded in the honeycomb located at the heart of honeybee colonies. We show that the signal is very common and highly repeatable, occurring mainly at night with a distinct decrease in instances towards midday, and that it can be elicited en masse from bees following the gentle shaking or knocking of their hive with distinct evidence of habituation. The results of our study suggest that this vibrational pulse is generated under many different circumstances, thereby unifying previous publication’s conflicting definitions, and we demonstrate that this pulse can be generated in response to a surprise stimulus. This work suggests that, using an artificial stimulus and monitoring the changes in the features of this signal could provide a sensitive tool to assess colony status.

Item Type: Journal article
Publication Title: PLOS ONE
Creators: Ramsey, M., Bencsik, M. and Newton, M.I.
Publisher: PLOS (Public Library of Science)
Date: 8 February 2017
Volume: 12
Number: 2
ISSN: 1932-6203
Identifiers:
NumberType
10.1371/journal.pone.0171162DOI
Rights: © 2017 Ramsey et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Divisions: Schools > School of Science and Technology
Depositing User: Jill Tomkinson
Date Added: 10 Feb 2017 11:53
Last Modified: 28 Jun 2017 14:43
URI: http://irep.ntu.ac.uk/id/eprint/30135

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