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Bousquet CAH, Sueur C, King AJ, O'Bryan LR. Individual and ecological heterogeneity promote complex communication in social vertebrate group decisions. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230204. [PMID: 38768211 DOI: 10.1098/rstb.2023.0204] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 03/04/2024] [Indexed: 05/22/2024] Open
Abstract
To receive the benefits of social living, individuals must make effective group decisions that enable them to achieve behavioural coordination and maintain cohesion. However, heterogeneity in the physical and social environments surrounding group decision-making contexts can increase the level of difficulty social organisms face in making decisions. Groups that live in variable physical environments (high ecological heterogeneity) can experience barriers to information transfer and increased levels of ecological uncertainty. In addition, in groups with large phenotypic variation (high individual heterogeneity), individuals can have substantial conflicts of interest regarding the timing and nature of activities, making it difficult for them to coordinate their behaviours or reach a consensus. In such cases, active communication can increase individuals' abilities to achieve coordination, such as by facilitating the transfer and aggregation of information about the environment or individual behavioural preferences. Here, we review the role of communication in vertebrate group decision-making and its relationship to heterogeneity in the ecological and social environment surrounding group decision-making contexts. We propose that complex communication has evolved to facilitate decision-making in specific socio-ecological contexts, and we provide a framework for studying this topic and testing related hypotheses as part of future research in this area. This article is part of the theme issue 'The power of sound: unravelling how acoustic communication shapes group dynamics'.
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Affiliation(s)
- Christophe A H Bousquet
- Department of Psychology, University of Konstanz , Konstanz 78457, Germany
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz , Konstanz 78457, Germany
| | - Cédric Sueur
- Institut pluridisciplinaire Hubert Curien , Strasbourg 67000, France
- Institut Universitaire de France , Paris 75005, France
| | - Andrew J King
- Biosciences, Faculty of Science and Engineering , Swansea SA2 8PP, UK
| | - Lisa R O'Bryan
- Department of Psychological Sciences, Rice University , Houston, TX 77005, USA
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Hensley NM, Rivers TJ, Gerrish GA, Saha R, Oakley TH. Collective synchrony of mating signals modulated by ecological cues and social signals in bioluminescent sea fireflies. Proc Biol Sci 2023; 290:20232311. [PMID: 38018106 PMCID: PMC10685132 DOI: 10.1098/rspb.2023.2311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 11/06/2023] [Indexed: 11/30/2023] Open
Abstract
Individuals often employ simple rules that can emergently synchronize behaviour. Some collective behaviours are intuitively beneficial, but others like mate signalling in leks occur across taxa despite theoretical individual costs. Whether disparate instances of synchronous signalling are similarly organized is unknown, largely due to challenges observing many individuals simultaneously. Recording field collectives and ex situ playback experiments, we describe principles of synchronous bioluminescent signals produced by marine ostracods (Crustacea; Luxorina) that seem behaviorally convergent with terrestrial fireflies, and with whom they last shared a common ancestor over 500 Mya. Like synchronous fireflies, groups of signalling males use visual cues (intensity and duration of light) to decide when to signal. Individual ostracods also modulate their signal based on the distance to nearest neighbours. During peak darkness, luminescent 'waves' of synchronous displays emerge and ripple across the sea floor approximately every 60 s, but such periodicity decays within and between nights after the full moon. Our data reveal these bioluminescent aggregations are sensitive to both ecological and social light sources. Because the function of collective signals is difficult to dissect, evolutionary convergence, like in the synchronous visual displays of diverse arthropods, provides natural replicates to understand the generalities that produce emergent group behaviour.
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Affiliation(s)
- Nicholai M. Hensley
- Department of Ecology, Evolution, and Marine Biology, University of California Santa Barbara, Santa Barbara, CA 93106-9620, USA
| | - Trevor J. Rivers
- Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66405, USA
| | - Gretchen A. Gerrish
- Center for Limnology, Trout Lake Station, University of Wisconsin, Boulder Junction, Madison, WI 54512, USA
| | - Raj Saha
- Roux Institute, Northeastern University, Portland, ME 04101, USA
| | - Todd H. Oakley
- Department of Ecology, Evolution, and Marine Biology, University of California Santa Barbara, Santa Barbara, CA 93106-9620, USA
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Ayali A, Kaminka GA. The hybrid bio-robotic swarm as a powerful tool for collective motion research: a perspective. Front Neurorobot 2023; 17:1215085. [PMID: 37520677 PMCID: PMC10375296 DOI: 10.3389/fnbot.2023.1215085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 06/30/2023] [Indexed: 08/01/2023] Open
Abstract
Swarming or collective motion is ubiquitous in natural systems, and instrumental in many technological applications. Accordingly, research interest in this phenomenon is crossing discipline boundaries. A common major question is that of the intricate interactions between the individual, the group, and the environment. There are, however, major gaps in our understanding of swarming systems, very often due to the theoretical difficulty of relating embodied properties to the physical agents-individual animals or robots. Recently, there has been much progress in exploiting the complementary nature of the two disciplines: biology and robotics. This, unfortunately, is still uncommon in swarm research. Specifically, there are very few examples of joint research programs that investigate multiple biological and synthetic agents concomitantly. Here we present a novel research tool, enabling a unique, tightly integrated, bio-inspired, and robot-assisted study of major questions in swarm collective motion. Utilizing a quintessential model of collective behavior-locust nymphs and our recently developed Nymbots (locust-inspired robots)-we focus on fundamental questions and gaps in the scientific understanding of swarms, providing novel interdisciplinary insights and sharing ideas disciplines. The Nymbot-Locust bio-hybrid swarm enables the investigation of biology hypotheses that would be otherwise difficult, or even impossible to test, and to discover technological insights that might otherwise remain hidden from view.
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Affiliation(s)
- Amir Ayali
- School of Zoology, Sagol School of Neuroscience, Tel Aviv University, Tel-Aviv, Israel
| | - Gal A. Kaminka
- Department of Computer Science and Gonda Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
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Ioannou CC, Laskowski KL. A multi-scale review of the dynamics of collective behaviour: from rapid responses to ontogeny and evolution. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220059. [PMID: 36802782 PMCID: PMC9939272 DOI: 10.1098/rstb.2022.0059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/21/2023] Open
Abstract
Collective behaviours, such as flocking in birds or decision making by bee colonies, are some of the most intriguing behavioural phenomena in the animal kingdom. The study of collective behaviour focuses on the interactions between individuals within groups, which typically occur over close ranges and short timescales, and how these interactions drive larger scale properties such as group size, information transfer within groups and group-level decision making. To date, however, most studies have focused on snapshots, typically studying collective behaviour over short timescales up to minutes or hours. However, being a biological trait, much longer timescales are important in animal collective behaviour, particularly how individuals change over their lifetime (the domain of developmental biology) and how individuals change from one generation to the next (the domain of evolutionary biology). Here, we give an overview of collective behaviour across timescales from the short to the long, illustrating how a full understanding of this behaviour in animals requires much more research attention on its developmental and evolutionary biology. Our review forms the prologue of this special issue, which addresses and pushes forward understanding the development and evolution of collective behaviour, encouraging a new direction for collective behaviour research. This article is part of a discussion meeting issue 'Collective behaviour through time'.
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Affiliation(s)
| | - Kate L. Laskowski
- Department of Evolution and Ecology, University of California Davis, Davis, CA 95616, USA
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Lukas J, Krause J, Träger AS, Piotrowski JM, Romanczuk P, Sprekeler H, Arias-Rodriguez L, Krause S, Schutz C, Bierbach D. Multispecies collective waving behaviour in fish. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220069. [PMID: 36802783 PMCID: PMC9939262 DOI: 10.1098/rstb.2022.0069] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 09/20/2022] [Indexed: 02/21/2023] Open
Abstract
Collective behaviour is widely accepted to provide a variety of antipredator benefits. Acting collectively requires not only strong coordination among group members, but also the integration of among-individual phenotypic variation. Therefore, groups composed of more than one species offer a unique opportunity to look into the evolution of both mechanistic and functional aspects of collective behaviour. Here, we present data on mixed-species fish shoals that perform collective dives. These repeated dives produce water waves capable of delaying and/or reducing the success of piscivorous bird attacks. The large majority of the fish in these shoals consist of the sulphur molly, Poecilia sulphuraria, but we regularly also found a second species, the widemouth gambusia, Gambusia eurystoma, making these shoals mixed-species aggregations. In a set of laboratory experiments, we found that gambusia were much less inclined to dive after an attack as compared with mollies, which almost always dive, though mollies dived less deep when paired with gambusia that did not dive. By contrast, the behaviour of gambusia was not influenced by the presence of diving mollies. The dampening effect of less responsive gambusia on molly diving behaviour can have strong evolutionary consequences on the overall collective waving behaviour as we expect shoals with a high proportion of unresponsive gambusia to be less effective at producing repeated waves. This article is part of a discussion meeting issue 'Collective behaviour through time'.
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Affiliation(s)
- Juliane Lukas
- Faculty of Life Sciences, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Invalidenstrasse 42, 10115 Berlin, Germany
- Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany
| | - Jens Krause
- Faculty of Life Sciences, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Invalidenstrasse 42, 10115 Berlin, Germany
- Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany
- Cluster of Excellence ‘Science of Intelligence’, Technical University of Berlin, Marchstrasse 23, 10587 Berlin, Germany
| | - Arabella Sophie Träger
- Faculty of Life Sciences, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Invalidenstrasse 42, 10115 Berlin, Germany
| | - Jonas Marc Piotrowski
- Faculty of Life Sciences, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Invalidenstrasse 42, 10115 Berlin, Germany
- Cluster of Excellence ‘Science of Intelligence’, Technical University of Berlin, Marchstrasse 23, 10587 Berlin, Germany
| | - Pawel Romanczuk
- Cluster of Excellence ‘Science of Intelligence’, Technical University of Berlin, Marchstrasse 23, 10587 Berlin, Germany
- Department of Biology, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Philippstrasse 13, 10115 Berlin, Germany
| | - Henning Sprekeler
- Cluster of Excellence ‘Science of Intelligence’, Technical University of Berlin, Marchstrasse 23, 10587 Berlin, Germany
- Institute of Software Engineering and Theoretical Computer Science, Berlin Institute of Technology, 10587 Berlin, Germany
| | - Lenin Arias-Rodriguez
- División Académica de Ciencias Biológicas, Universidad Juárez Autónoma Tabasco, 86150 Villahermosa, Mexico
| | - Stefan Krause
- Department of Electrical Engineering and Computer Science, Lübeck University of Applied Sciences, 23562 Lübeck, Germany
| | - Christopher Schutz
- Faculty of Life Sciences, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Invalidenstrasse 42, 10115 Berlin, Germany
- Cluster of Excellence ‘Science of Intelligence’, Technical University of Berlin, Marchstrasse 23, 10587 Berlin, Germany
| | - David Bierbach
- Faculty of Life Sciences, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Invalidenstrasse 42, 10115 Berlin, Germany
- Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany
- Cluster of Excellence ‘Science of Intelligence’, Technical University of Berlin, Marchstrasse 23, 10587 Berlin, Germany
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