The Electronic Bee Spy: Eavesdropping on Honeybee Communication

behavior datalogger electrostatic field honey bee (Apis mellifera L.) social

Journal

Frontiers in behavioral neuroscience
ISSN: 1662-5153
Titre abrégé: Front Behav Neurosci
Pays: Switzerland
ID NLM: 101477952

Informations de publication

Date de publication:
2021
Historique:
received: 29 12 2020
accepted: 06 04 2021
entrez: 17 5 2021
pubmed: 18 5 2021
medline: 18 5 2021
Statut: epublish

Résumé

As a canary in a coalmine warns of dwindling breathable air, the honeybee can indicate the health of an ecosystem. Honeybees are the most important pollinators of fruit-bearing flowers, and share similar ecological niches with many other pollinators; therefore, the health of a honeybee colony can reflect the conditions of a whole ecosystem. The health of a colony may be mirrored in social signals that bees exchange during their sophisticated body movements such as the waggle dance. To observe these changes, we developed an automatic system that records and quantifies social signals under normal beekeeping conditions. Here, we describe the system and report representative cases of normal social behavior in honeybees. Our approach utilizes the fact that honeybee bodies are electrically charged by friction during flight and inside the colony, and thus they emanate characteristic electrostatic fields when they move their bodies. These signals, together with physical measurements inside and outside the colony (temperature, humidity, weight of the hive, and activity at the hive entrance) will allow quantification of normal and detrimental conditions of the whole colony. The information provided instructs how to setup the recording device, how to install it in a normal bee colony, and how to interpret its data.

Identifiants

pubmed: 33994968
doi: 10.3389/fnbeh.2021.647224
pmc: PMC8115936
doi:

Banques de données

figshare
['10.6084/m9.figshare.13490973.v1']

Types de publication

Journal Article

Langues

eng

Pagination

647224

Informations de copyright

Copyright © 2021 Paffhausen, Petrasch, Greggers, Duer, Wang, Menzel, Stieber, Haink, Geldenhuys, Čavojská, Stein, Wutke, Voigt, Coburn and Menzel.

Déclaration de conflit d'intérêts

PS was owner of the company Hape Imkerei GmbH. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Benjamin H Paffhausen (BH)

Department Biology, Neurobiology, Freie Universität Berlin, Berlin, Germany.

Julian Petrasch (J)

Department Information Science, Freie Universität Berlin, Berlin, Germany.

Uwe Greggers (U)

Department Biology, Neurobiology, Freie Universität Berlin, Berlin, Germany.

Aron Duer (A)

Department Biology, Neurobiology, Freie Universität Berlin, Berlin, Germany.

Zhengwei Wang (Z)

CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, China.

Simon Menzel (S)

Department Biology, Neurobiology, Freie Universität Berlin, Berlin, Germany.

Peter Stieber (P)

CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, China.

Karén Haink (K)

Department Biology, Neurobiology, Freie Universität Berlin, Berlin, Germany.

Morgan Geldenhuys (M)

Independent Researcher, HAPE Imkerei GmbH, Neulußheim, Germany.

Jana Čavojská (J)

Department Information Science, Freie Universität Berlin, Berlin, Germany.

Timo A Stein (TA)

Complex and Distributed IT Systems, Technische Universtät Berlin, Berlin, Germany.

Sophia Wutke (S)

Department Biology, Neurobiology, Freie Universität Berlin, Berlin, Germany.

Anja Voigt (A)

Department Biology, Neurobiology, Freie Universität Berlin, Berlin, Germany.

Josephine Coburn (J)

Department Biology, Neurobiology, Freie Universität Berlin, Berlin, Germany.

Randolf Menzel (R)

Department Biology, Neurobiology, Freie Universität Berlin, Berlin, Germany.

Classifications MeSH