Sound recordings of Apis cerana japonica colonies over 24 h reveal unique daily hissing patterns

Kawakita, Satoshi; Ichikawa, Katsuhiko; Sakamoto, Fumio; Moriya, K.

doi:10.1007/s13592-018-0631-x

Cited by 8 publications

(5 citation statements)

References 27 publications

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“…Hisses were part of how colonies responded to hornet attacks in our study, but colonies also hissed under no-attack conditions. This latter finding agrees with previous studies showing that A. cerana colonies hiss without apparent provocation [80,136]. Because of their timing in this study, it is unlikely that hisses are used to deter high-threat hornet predators.…”

Section: Discussionsupporting

confidence: 93%

“…Discrete signal features help to avoid ambiguity, aligning with predictions of greater communicative complexity when species are highly social and have sophisticated predator defences [9,129,130]. While hisses are considered aposematic warning signals in many animal taxa, including bees [32,48,80,127,131–135], the role hisses play in A. cerana defence is not clear [77,80,136]. Hisses were part of how colonies responded to hornet attacks in our study, but colonies also hissed under no-attack conditions.…”

Section: Discussionmentioning

confidence: 99%

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Giant hornet (Vespa soror) attacks trigger frenetic antipredator signalling in honeybee (Apis cerana) colonies

et al. 2021

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Asian honeybees use an impressive array of strategies to protect nests from hornet attacks, although little is understood about how antipredator signals coordinate defences. We compared vibroacoustic signalling and defensive responses of Apis cerana colonies that were attacked by either the group-hunting giant hornet Vespa soror or the smaller, solitary-hunting hornet Vespa velutina . Apis cerana colonies produced hisses, brief stop signals and longer pipes under hornet-free conditions. However, hornet-attack stimuli—and V. soror workers in particular—triggered dramatic increases in signalling rates within colonies. Soundscapes were cacophonous when V. soror predators were directly outside of nests, in part because of frenetic production of antipredator pipes, a previously undescribed signal. Antipredator pipes share acoustic traits with alarm shrieks, fear screams and panic calls of primates, birds and meerkats. Workers making antipredator pipes exposed their Nasonov gland, suggesting the potential for multimodal alarm signalling that warns nestmates about the presence of dangerous hornets and assembles workers for defence. Concurrent observations of nest entrances showed an increase in worker activities that support effective defences against giant hornets. Apis cerana workers flexibly employ a diverse alarm repertoire in response to attack attributes, mirroring features of sophisticated alarm calling in socially complex vertebrates.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Giant hornet (Vespa soror) attacks trigger frenetic antipredator signalling in honeybee (Apis cerana) colonies

et al. 2021

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“…Sound analysis was used to monitor the learning process of worker bees (Apis mellifera), where they responded to an electric shock with a hissing response characterized by loud sounds and vibrations [38]. Further research explored the relationship between hissing onset/offset times and sunrise/sunset, indicating that honeybees hiss predominantly during daylight hours, with the highest frequency at dawn [39]. Therefore, different conditions or states in a hive result in bees producing different sound signals, which can provide useful information for beekeepers if interpreted appropriately.…”

Section: Resultsmentioning

confidence: 99%

Decoding the Behavior of a Queenless Colony Using Sound Signals

Kanelis,

Liolios,

Papadopoulou

et al. 2023

Biology

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Honeybees are reported to be the most vital pollinators of agricultural and horticultural crops. However, their widespread decline has raised great attention to the need to monitor their activity in order to identify the causes and implement countermeasures. The recording and analysis of signals used by honeybees for their communication in their hive can be a very helpful tool to the beekeepers for the remote control of the hives. Thus, in the present study, we used a set of sound recording data taken inside the hives to automatically detect the sounds of the bees over a certain period, to distinguish between queenright and queenless states, and to find the gradual changes in the queenless state. Unlike what was commonly believed, noticeable changes in the sound signals of all experimental colonies were observed just one hour after the queens’ removal from the hive, while the sound signals were intensified over a period of 5 h, after which the transmitted signal stabilized to the equivalent of a queenless state. The colonies seemed to return to their normal sounds 9–10 days after the reintroduction of the queens in the hives. Our study concluded that timely intervention of the queen’s absence combined with the immediate intervention of the beekeeper may be a determining factor in mitigating the adverse effects that occur from the queen’s loss.

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“…Lasso logistic regression and singular value decomposition are currently available to analyse the sound of hives to identify sound patterns in queenless bee colonies (Robles-Guerrero et al, 2019). Kawakita et al (2019) recorded hive sounds of Apis cerana japonica over 24 h, and they found that Apis cerana japonica hissing had unique temporal patterns. Cejrowski et al (2020) also presented a method that uses Mel Frequency Cepstral Coe cients (MFCCs) features and an SVM classi er to de ne the start and the end of the presumed bees-night in summer.…”

Section: Introductionmentioning

confidence: 99%

Beehive Sound: Can It Indicate The Response Of Honey Bees To Chemicals In Or Out Of The Beehive?

Xin-qiu

Sharif

et al. 2022

Preprint

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Honey bees (Apis spp.) are widely used as biological indicators of environmental changes. Recently, bees have been explored by researchers to monitor air contamination by listening to their hive sound. However, no study has determined whether beehive sound reflects the responses of bees to in-hive or out-hive chemicals. In this study, we conducted a feeding experiment to address this. First, we fed colonies with pure syrup (PS), syrup containing acetone (SA) or syrup containing ethyl acetate (SE) to collect beehive sound to establish multiple classifications using machine learning (ML) models. Then, we orderly fed colonies with PS, followed by SE, SA and PS. Next, we fed colonies in PS, SA, SE and PS order. Eventually, we evaluated the recall and precision of the model in detecting each syrup type. The result built on orderly feeding had a recall of 99%, 80%, 30%, 53% in detecting PS, SE, SA, PS, respectively. In the reverse feeding experiment, the ML model has a recall of 99%, 89%, 37% and 44% in detecting PS, SA, SE, and PS, respectively. Because the collected syrup in the two orderly feeding sessions was not removed from the frames during the experiment, the results indicate that beehive sound responds to chemicals in or out of the beehive.

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Sound recordings of Apis cerana japonica colonies over 24 h reveal unique daily hissing patterns

Cited by 8 publications

References 27 publications

Giant hornet (Vespa soror) attacks trigger frenetic antipredator signalling in honeybee (Apis cerana) colonies

Giant hornet (Vespa soror) attacks trigger frenetic antipredator signalling in honeybee (Apis cerana) colonies

Decoding the Behavior of a Queenless Colony Using Sound Signals

Beehive Sound: Can It Indicate The Response Of Honey Bees To Chemicals In Or Out Of The Beehive?

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