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Peer-reviewedCC BYProceedings. Biological sciences

Self-organized spectral adjustment in echolocation sounds within group-flying bats.

5 affiliations
  1. 1Department of Systems Function and Morphology, University of Toyama , Toyama, Japan.
  2. 2Department of Psychology, Neuroscience & Behaviour, McMaster University , Hamilton, Ontario, Canada.
  3. 3Graduate School of Environmental Studies, Nagoya University , Nagoya, Japan.
  4. 4Faculty of Life and Medical Sciences, Doshisha University , Kyoto, Japan.
  5. 5Meiji Institute for Advanced Study of Mathematical Sciences, Meiji University - Nakano Campus , Nakano, Tokyo, Japan.

Abstract

Self-organized behaviour has been extensively studied in group dynamics in animals, with a strong focus on movement coordination in species like fish and birds. By contrast, far less attention has been paid to vocal interactions within animal groups. Here, we unveil a self-organized vocal behaviour in echolocating bats (Miniopterus fuliginosus), characterized by their adaptive responses to jamming stimuli. Using controlled playback experiments, we identified a mathematical model that describes how bats autonomously adjust their vocal frequencies to avoid signal interference mimicking group echolocation. The model was subsequently extended to simulate a group of bats flying in two-dimensional space. Consistent with previous observations of group-flying bats, the simulation revealed frequency-adjusting behaviour, characterized by an overall increase in frequency differences within the group. Crucially, we demonstrated that this behaviour reduces potential misdetections during echolocation, enhancing group-wide sensory accuracy. These results reveal a mechanism of conflict resolution through self-organized vocal adjustment and establish a parallel with other self-organizing systems in nature. Our findings reveal that this frequency-adjusting behaviour represents a self-organized vocal behaviour that effectively mitigates conflicts within a group, one achieved via simple behavioural rules, as in other types of collective animal behaviour.

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BibTeX
@article{hase2026selforganized,
  title = {{Self-organized spectral adjustment in echolocation sounds within group-flying bats.}},
  author = {Kazuma Hase and Tasuku Miyazaki and Seiya Oka and Noriyoshi Senoo and Hiraku Nishimori and Masashi Shiraishi and Ken Yoda and Kohta I Kobayasi and Shizuko Hiryu},
  journal = {Proceedings. Biological sciences},
  year = {2026},
  month = oct,
  doi = {10.1098/rspb.2026.0921},
  url = {https://europepmc.org/article/MED/42869478},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Self-organized spectral adjustment in echolocation sounds within group-flying bats.
AU  - Kazuma Hase
AU  - Tasuku Miyazaki
AU  - Seiya Oka
AU  - Noriyoshi Senoo
AU  - Hiraku Nishimori
AU  - Masashi Shiraishi
AU  - Ken Yoda
AU  - Kohta I Kobayasi
AU  - Shizuko Hiryu
PY  - 2026
DA  - 2026/10/01
JO  - Proceedings. Biological sciences
DO  - 10.1098/rspb.2026.0921
UR  - https://europepmc.org/article/MED/42869478
AB  - Self-organized behaviour has been extensively studied in group dynamics in animals, with a strong focus on movement coordination in species like fish and birds. By contrast, far less attention has been paid to vocal interactions within animal groups. Here, we unveil a self-organized vocal behaviour in echolocating bats (Miniopterus fuliginosus), characterized by their adaptive responses to jamming stimuli. Using controlled playback experiments, we identified a mathematical model that describes how bats autonomously adjust their vocal frequencies to avoid signal interference mimicking group echolocation. The model was subsequently extended to simulate a group of bats flying in two-dimensional space. Consistent with previous observations of group-flying bats, the simulation revealed frequency-adjusting behaviour, characterized by an overall increase in frequency differences within the group. Crucially, we demonstrated that this behaviour reduces potential misdetections during echolocation, enhancing group-wide sensory accuracy. These results reveal a mechanism of conflict resolution through self-organized vocal adjustment and establish a parallel with other self-organizing systems in nature. Our findings reveal that this frequency-adjusting behaviour represents a self-organized vocal behaviour that effectively mitigates conflicts within a group, one achieved via simple behavioural rules, as in other types of collective animal behaviour.
SN  - 0962-8452
SN  - 1471-2954
ER  -