Collective signalling is shaped by feedbacks between signaller variation, receiver perception and acoustic environment in a simulated communication network
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Communication takes place within a network of multiple signallers and receivers. Social network analysis provides tools to quantify how an individual’s social positioning affects group dynamics and the subsequent biological consequences. However, network analysis is rarely applied to animal communication, likely due to the logistical difficulties of monitoring natural communication networks. We generated a simulated communication network to investigate how variation in individual communication behaviours generates network effects, and how this communication network’s structure feeds back to affect future signalling interactions. We simulated competitive acoustic signalling interactions among chorusing individuals and varied several parameters related to communication and chorus size to examine their effects on calling output and social connections. Larger choruses had higher noise levels, and this reduced network density and altered the relationships between individual traits and communication network position. Hearing sensitivity interacted with chorus size to affect both individuals’ positions in the network and the acoustic output of the chorus. Physical proximity to competitors influenced signalling, but a distinctive communication network structure emerged when signal active space was limited. Our model raises novel predictions about communication networks that could be tested experimentally and identifies aspects of information processing in complex environments that remain to be investigated. This article is part of the theme issue ‘The power of sound: unravelling how acoustic communication shapes group dynamics’.
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Early work already models choruses as dynamic communication networks that change with group size and noise level.
“Early work already models choruses as dynamic communication networks that change with group size and noise level (Reichert et al. 2024).”
From Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation (2026) · cites this paper as Reichert et al. 2024
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Self-citationWilde, J. A., Rodríguez‐Muñoz, R., Darden, S. K., Tregenza, T., & Fawcett, T. W. (2023) · Animal Behaviour · doi:10.1016/j.anbehav.2023.06.006 · Cited by 12 · see citing works
Chorus model of the synchronizing bushcricket species Mecopoda elongata
Hartbauer, M. (2008) · Ecological Modelling · doi:10.1016/j.ecolmodel.2007.11.010 · Cited by 11 · see citing works
Szymkowiak, J. (2022) · Animal Behaviour · doi:10.1016/j.anbehav.2022.07.012 · Cited by 10 · see citing works
The evolution of dynamic and flexible courtship displays that reveal individual quality
Hollon, S. H., García-Ruiz, I., Veen, T., & Fawcett, T. W. (2023) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-023-03296-9 · Cited by 8 · see citing works
How to Pick the Right One: Investigating Tradeoffs among Female Mate Choice Strategies in Treefrogs
Scheutz, M. J., Harris, J. J., & Boyd, S. K. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15193-4_58 · Cited by 7 · see citing works
Social modulation of spatial dynamics in treefrog choruses
Leverett, M. C., McLister, J. D., Desaivre, S., Conway, S., & Boyd, S. K. (2022) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-022-03163-z · Cited by 7 · see citing works
Exploring male spatial placement strategies in a biologically plausible mating task
Scheutz, M. J., Smiley, M., & Boyd, S. K. (2013) · IEEE Symposium on Artificial Life (ALIFE) · doi:10.1109/alife.2013.6602439 · Cited by 4 · see citing works
Mate choice strategies in a spatially-explicit model environment
Ferreira, G. B. S., Scheutz, M. J., & Boyd, S. K. (2018) · PLoS ONE · doi:10.1371/journal.pone.0202680 · Cited by 3 · see citing works
Aihara, I., Kominami, D., Hosokawa, Y., & Murata, M. (2022) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2022.111352 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Hobson EA, Silk MJ, Fefferman NH, Larremore DB, Rombach P, Shai S, Pinter-Wollman N. 2021 A guide to choosing and implementing reference models for social network analysis. Biol. Rev. 96, 2716-2734. (doi:10.1111/brv.12775) · DOI
- Brumm H. 2013 Animal communication and noise. New York: Springer.
Cited by
Sorted by citations
The power of sound: unravelling how acoustic communication shapes group dynamics
Briefer, E. F., Xie, B., Engesser, S., Sueur, C., Freeberg, T. M., & Brask, J. B. (2024) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0182 · Cited by 8 · see citing works
Larter, L. C., & Ryan, M. J. (2025) · Integrative and Comparative Biology · doi:10.1093/icb/icaf041 · Cited by 5 · see citing works
Eavesdropping and contagious alarming in bird communities
Rossetto, F., Cardoso, G. C., & Laiolo, P. (2025) · Learning & Behavior · doi:10.3758/s13420-025-00678-z · Cited by 4 · see citing works
Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation
Zsebők, S. (2026) · Biologia Futura · doi:10.1007/s42977-026-00322-5
“Early work already models cho-ruses as dynamic communication networks that change with group size and noise level (Reichert et al. 2024).”
Kalra, L., Hobel, G., & Bee, M. A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.23.670182
Receiver psychology as a driver of communication network structure
Reichert, M. S., & Caves, E. M. (2026) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1002/brv.70138
Self-citationEffects of habitat structure and individual variation in a simulated acoustic communication network
Reichert, M. S. (2026) · Animal Behaviour · doi:10.1016/j.anbehav.2026.123497
Self-citation
- Authors
- Reichert, M. S., Luttbeg, B., & Hobson, E. A.
- Affiliations
- Oklahoma State University (US)
- University of Cincinnati (US)
- Corresponding author
- Reichert, Michael S.
- Venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2024-05-20
- Volume
- 379
- Issue
- 1905
- Pages
- 20230186-20230186
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- PMC
- PMC11391285
- OpenAlex
- W4398143685
- Cited by
- 8
- References
- 122
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 2
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Oklahoma State University
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Developmental Biology › Animal Vocal Communication and Behavior
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
- Physical Sciences › Environmental Science › Ecology › Marine animal studies overview
- Keywords
- acoustic signalling, auditory sensitivity, social network position, acoustic environment, social positioning, group dynamics
- MeSH terms
- Acoustics, Animals, Animal Communication, Auditory Perception, Birds, Models, Biological, Social Behavior, Vocalization, Animal
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