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Chan AHH, Dunning J, Beck KB, Burke T, Chik HYJ, Dunleavy D, Evans T, Ferreira A, Fourie B, Griffith SC, Hillemann F, Schroeder J. Animal social networks are robust to changing association definitions. Behav Ecol Sociobiol 2025; 79:26. [PMID: 39927187 PMCID: PMC11802709 DOI: 10.1007/s00265-025-03559-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 12/23/2024] [Accepted: 01/02/2025] [Indexed: 02/11/2025]
Abstract
The interconnecting links between individuals in an animal social network are often defined by discrete, directed behaviours, but where these are difficult to observe, a network link (edge) may instead be defined by individuals sharing a space at the same time, which can then be used to infer a social association. The method by which these associations are defined should be informed by the biological significance of edges, and therefore often vary between studies. Identifying an appropriate measure of association remains a challenge to behavioural ecologists. Here, we use automatically recorded feeder visit data from four bird systems to compare three methods to identify a social association: (1) strict time-window, (2) co-occurrence in a group, and (3) arrival-time. We tested the similarity of the resulting networks by comparing the repeatability and sensitivity of individuals' social traits (network degree, strength, betweenness). We found that networks constructed using different methods but applying similar, ecologically relevant definitions of associations based on individuals' spatio-temporal co-occurrence, showed similar characteristics. Our findings suggest that the different methods to construct animal social networks are comparable, but result in subtle differences driven by species biology and feeder design. We urge researchers to carefully evaluate the ecological context of their study systems when making methodological decisions. Specifically, researchers in ecology and evolution should carefully consider the biological relevance of an edge in animal social networks, and the implications of adopting different definitions. Supplementary Information The online version contains supplementary material available at 10.1007/s00265-025-03559-7.
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Affiliation(s)
- Alex Hoi Hang Chan
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany
- Department of Collective Behaviour, Max Planck Institute of Animal Behaviour, Konstanz, Germany
- Department of Life Sciences, Imperial College London, Silwood park, Ascot, UK
| | - Jamie Dunning
- Department of Life Sciences, Imperial College London, Silwood park, Ascot, UK
- Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | - Kristina B Beck
- Department of Biology, Edward Grey Institute, University of Oxford, Oxford, UK
| | - Terry Burke
- Ecology and Evolutionary Biology, School of Biosciences, The University of Sheffield, Sheffield, UK
| | - Heung Ying Janet Chik
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands
- School of Natural Sciences, Macquarie University, Sydney, Australia
| | - Daniel Dunleavy
- Department of Life Sciences, Imperial College London, Silwood park, Ascot, UK
| | - Tim Evans
- Center for Complexity Science, Imperial College London, London, UK
| | - André Ferreira
- Centre d’Ecologie Fonctionnelle et Evolutive, University Montpellier, Montpellier, France
| | - Babette Fourie
- Centre d’Ecologie Fonctionnelle et Evolutive, University Montpellier, Montpellier, France
- Centro de Investigação em Biodiversidade e Recursos Genéticos, University of Porto, Porto, Portugal
| | | | | | - Julia Schroeder
- Department of Life Sciences, Imperial College London, Silwood park, Ascot, UK
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Schroeder J, Dunning J, Chan AHH, Chik HYJ, Burke T. Not so social in old age: demography as one driver of decreasing sociality. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220458. [PMID: 39463245 PMCID: PMC11513642 DOI: 10.1098/rstb.2022.0458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 07/18/2024] [Accepted: 09/23/2024] [Indexed: 10/29/2024] Open
Abstract
Humans become more selective with whom they spend their time, and as a result, the social networks of older humans are smaller than those of younger ones. In non-human animals, processes such as competition and opportunity can result in patterns of declining sociality with age. While there is support for declining sociality with age in mammals, evidence from wild bird populations is lacking. Here, we test whether sociality declines with age in a wild, insular bird population, where we know the exact ages of individuals. Using 6 years of sociality data, we find that as birds aged, their degree and betweenness decreased. The number of same-age birds still alive also decreased with age. Our results suggest that a longitudinal change in sociality with age may be, in part, an emergent effect of natural changes in demography. This highlights the need to investigate the changing costs and benefits of sociality across a lifetime.This article is part of the discussion meeting issue 'Understanding age and society using natural populations'.
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Affiliation(s)
- Julia Schroeder
- Department of Life Sciences, Imperial College London, Silwood Park Campus, AscotSL5 7PY, UK
| | - Jamie Dunning
- Department of Life Sciences, Imperial College London, Silwood Park Campus, AscotSL5 7PY, UK
- Faculty of Biological Sciences, University of Leeds, LeedsLS2 9JT, United Kingdom
| | - Alex Hoi Han Chan
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, KonstanzPostbox 687, Germany
- Department of Collective Behaviour, Max Planck Institute of Animal Behaviour, Radolfzell78464, Germany
| | - Heung Ying Janet Chik
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen9747 AG, The Netherlands
- School of Natural Sciences, Macquarie University, Sydney, Australia
| | - Terry Burke
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, SheffieldS10 2TN, UK
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Yan JL, Rosenbaum JR, Esteves S, Dobbin ML, Dukas R. Sexual conflict and social networks in bed bugs: effects of social experience. Behav Ecol 2024; 35:arae030. [PMID: 38690087 PMCID: PMC11059254 DOI: 10.1093/beheco/arae030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 02/26/2024] [Accepted: 04/16/2024] [Indexed: 05/02/2024] Open
Abstract
Living in groups can provide essential experience that improves sexual performance and reproductive success. While the effects of social experience have drawn considerable scientific interest, commonly used behavioral assays often do not capture the dynamic nature of interactions within a social group. Here, we conducted 3 experiments using a social network framework to test whether social experience during early adulthood improves the sexual competence of bed bugs (Cimex lectularius) when placed in a complex and competitive group environment. In each experiment, we observed replicate groups of bed bugs comprising previously socialized and previously isolated individuals of the same sex, along with an equal number of standardized individuals of the opposite sex. Regardless of whether we controlled for their insemination history, previously isolated males mounted and inseminated females at significantly higher rates than previously socialized males. However, we found no evidence of social experience influencing our other measures of sexual competence: proportion of mounts directed at females, ability to overcome female resistance, and strength of opposite-sex social associations. We similarly did not detect effects of social experience on our female sexual competence metrics: propensity to avoid mounts, rate of successfully avoiding mounts, opposite-sex social association strength, and rate of receiving inseminations. Our findings indicate that early social experience does not improve sexual competence in male and female bed bugs.
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Affiliation(s)
- Janice L Yan
- Animal Behaviour Group, Department of Psychology, Neuroscience & Behaviour, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
| | - Jack R Rosenbaum
- Animal Behaviour Group, Department of Psychology, Neuroscience & Behaviour, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
| | - Selena Esteves
- Animal Behaviour Group, Department of Psychology, Neuroscience & Behaviour, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
| | - Maggie L Dobbin
- Animal Behaviour Group, Department of Psychology, Neuroscience & Behaviour, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
| | - Reuven Dukas
- Animal Behaviour Group, Department of Psychology, Neuroscience & Behaviour, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
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Wild S, Alarcón-Nieto G, Aplin LM. The ontogeny of social networks in wild great tits ( Parus major). Behav Ecol 2024; 35:arae011. [PMID: 38495730 PMCID: PMC10941318 DOI: 10.1093/beheco/arae011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 02/07/2024] [Accepted: 03/05/2024] [Indexed: 03/19/2024] Open
Abstract
Sociality impacts many biological processes and can be tightly linked to an individual's fitness. To maximize the advantages of group living, many social animals prefer to associate with individuals that provide the most benefits, such as kin, familiar individuals, or those of similar phenotypes. Such social strategies are not necessarily stable over time but can vary with changing selection pressures. In particular, young individuals transitioning to independence should continuously adjust their social behavior in light of developmental changes. However, social strategies exhibited during adolescence in animals are understudied, and the factors underlying social network formation during ontogeny remain elusive. Here, we tracked associations of wild great tits (Parus major) during the transition to independence and across their first year of life. Both spatial and social factors predicted dyadic associations. During the transition to independence in spring, fledglings initially preferred to associate with siblings and peers over non-parent adults. We found no evidence for preferred associations among juveniles of similar age or fledge weight during that time but weak evidence for some potential inheritance of the parental social network. By autumn, after juveniles had reached full independence, they exhibited social strategies similar to those of adults by establishing stable social ties based on familiarity that persisted through winter into the next spring. Overall, this research demonstrates dynamic changes in social networks during ontogeny in a species with a fast life history and limited parental care, which likely reflect changes in selective pressures. It further highlights the importance of long-term social bonds based on familiarity in this species.
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Affiliation(s)
- Sonja Wild
- Cognitive and Cultural Ecology Research Group, Max Planck Institute of Animal Behavior, Am Obstberg 1, 78315 Radolfzell, Germany
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Universitätsstrasse 10, 78464 Konstanz, Germany
- Department of Environmental Science & Policy, University of California Davis, One Shields Ave, Davis, CA-95616, USA
| | - Gustavo Alarcón-Nieto
- Cognitive and Cultural Ecology Research Group, Max Planck Institute of Animal Behavior, Am Obstberg 1, 78315 Radolfzell, Germany
- Department of Migration, Max Planck Institute of Animal Behavior, Am Obstberg 1, 78315 Radolfzell, Germany
- International Max Planck Research School for Quantitative Behaviour, Ecology and Evolution, Am Obstberg 1, 78315 Radolfzell, Germany
- Department of Biology, University of Konstanz, Universitätsstrasse 10, 78464 Konstanz, Germany
| | - Lucy M Aplin
- Cognitive and Cultural Ecology Research Group, Max Planck Institute of Animal Behavior, Am Obstberg 1, 78315 Radolfzell, Germany
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
- Division of Ecology and Evolution, Research School of Biology, Australian National University, 46 Sullivan’s Creek Road, Canberra, ACT 2600, Australia
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Beck KB, Farine DR, Firth JA, Sheldon BC. Variation in local population size predicts social network structure in wild songbirds. J Anim Ecol 2023; 92:2348-2362. [PMID: 37837224 PMCID: PMC10952437 DOI: 10.1111/1365-2656.14015] [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: 07/06/2023] [Accepted: 09/19/2023] [Indexed: 10/15/2023]
Abstract
The structure of animal societies is a key determinant of many ecological and evolutionary processes. Yet, we know relatively little about the factors and mechanisms that underpin detailed social structure. Among other factors, social structure can be influenced by habitat configuration. By shaping animal movement decisions, heterogeneity in habitat features, such as vegetation and the availability of resources, can influence the spatiotemporal distribution of individuals and subsequently key socioecological properties such as the local population size and density. Differences in local population size and density can impact opportunities for social associations and may thus drive substantial variation in local social structure. Here, we investigated spatiotemporal variation in population size at 65 distinct locations in a small songbird, the great tit (Parus major) and its effect on social network structure. We first explored the within-location consistency of population size from weekly samples and whether the observed variation in local population size was predicted by the underlying habitat configuration. Next, we created social networks from the birds' foraging associations at each location for each week and examined if local population size affected social structure. We show that population size is highly repeatable within locations across weeks and years and that some of the observed variation in local population size was predicted by the underlying habitat, with locations closer to the forest edge having on average larger population sizes. Furthermore, we show that local population size affected social structure inferred by four global network metrics. Using simple simulations, we then reveal that much of the observed social structure is shaped by social processes. Across different population sizes, the birds' social structure was largely explained by their preference to forage in flocks. In addition, over and above effects of social foraging, social preferences between birds (i.e. social relationships) shaped certain network features such as the extent of realized social connections. Our findings thus suggest that individual social decisions substantially contribute to shaping certain social network features over and above effects of population size alone.
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Affiliation(s)
- Kristina B. Beck
- Department of Biology, Edward Grey InstituteUniversity of OxfordOxfordUK
| | - Damien R. Farine
- Department of Evolutionary Biology and Environmental StudiesUniversity of ZurichZurichSwitzerland
- Division of Ecology and Evolution, Research School of BiologyAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
- Department of Collective BehaviourMax Planck Institute of Animal BehaviourKonstanzGermany
| | - Josh A. Firth
- Department of Biology, Edward Grey InstituteUniversity of OxfordOxfordUK
| | - Ben C. Sheldon
- Department of Biology, Edward Grey InstituteUniversity of OxfordOxfordUK
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Dunning J, Burke T, Hoi Hang Chan A, Ying Janet Chik H, Evans T, Schroeder J. Opposite-sex associations are linked with annual fitness, but sociality is stable over lifetime. Behav Ecol 2023; 34:315-324. [PMID: 37192923 PMCID: PMC10183206 DOI: 10.1093/beheco/arac124] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 11/27/2022] [Accepted: 12/06/2022] [Indexed: 03/11/2023] Open
Abstract
Animal sociality, an individual's propensity to associate with others, has fitness consequences through mate choice, for example, directly, by increasing the pool of prospective partners, and indirectly through increased survival, and individuals benefit from both. Annually, fitness consequences are realized through increased mating success and subsequent fecundity. However, it remains unknown whether these consequences translate to lifetime fitness. Here, we quantified social associations and their link to fitness annually and over lifetime, using a multi-generational, genetic pedigree. We used social network analysis to calculate variables representing different aspects of an individual's sociality. Sociality showed high within-individual repeatability. We found that birds with more opposite-sex associates had higher annual fitness than those with fewer, but this did not translate to lifetime fitness. Instead, for lifetime fitness, we found evidence for stabilizing selection on opposite-sex sociality, and sociality in general, suggesting that reported benefits are only short-lived in a wild population, and that selection favors an average sociality.
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Affiliation(s)
- Jamie Dunning
- Department of Life Sciences, Imperial College London, UK
| | - Terry Burke
- Ecology and Evolutionary Biology, School of Biosciences, The University of Sheffield, UK
| | - Alex Hoi Hang Chan
- Department of Life Sciences, Imperial College London, UK
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Germany
- Max Plank Institute of Animal Behaviour, Germany
| | - Heung Ying Janet Chik
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Netherlands
- School of Natural Sciences, Macquarie University, Australia
| | - Tim Evans
- Center for Complexity Science, Imperial College London, UK
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