1
|
Gaynor KM, Abrahms B, Manlove KR, Oestreich WK, Smith JA. Anthropogenic impacts at the interface of animal spatial and social behaviour. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220527. [PMID: 39230457 DOI: 10.1098/rstb.2022.0527] [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: 10/16/2023] [Revised: 04/15/2024] [Accepted: 04/25/2024] [Indexed: 09/05/2024] Open
Abstract
Human disturbance is contributing to widespread, global changes in the distributions and densities of wild animals. These anthropogenic impacts on wildlife arise from multiple bottom-up and top-down pathways, including habitat loss, resource provisioning, climate change, pollution, infrastructure development, hunting and our direct presence. Animal behaviour is an important mechanism linking these disturbances to population outcomes, although these behavioural pathways are often complex and can remain obscured when different aspects of behaviour are studied in isolation from one another. The spatial-social interface provides a lens for understanding how an animal's spatial and social environments interact to determine its spatial and social phenotype (i.e. measurable characteristics of an individual), and how these phenotypes interact and feed back to reshape environments. Here, we review studies of animal behaviour at the spatial-social interface to understand and predict how human disturbance affects animal movement, distribution and intraspecific interactions, with consequences for the conservation of populations and ecosystems. By understanding the spatial-social mechanisms linking human disturbance to conservation outcomes, we can better design management interventions to mitigate undesired consequences of disturbance.This article is part of the theme issue 'The spatial-social interface: a theoretical and empirical integration'.
Collapse
Affiliation(s)
- Kaitlyn M Gaynor
- Departments of Zoology and Botany, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Briana Abrahms
- Center for Ecosystem Sentinels, Department of Biology, University of Washington, Seattle, WA 98195, USA
| | - Kezia R Manlove
- Department of Wildland Resources, Utah State University, Logan, UT 84322, USA
| | | | - Justine A Smith
- Department of Wildlife Fish, and Conservation Biology, University of California Davis, Davis, CA 95616, USA
| |
Collapse
|
2
|
Aguiñaga J, Jin S, Pesati I, Laskowski KL. Behavioral responses of a clonal fish to perceived predation risk. PeerJ 2024; 12:e17547. [PMID: 38912041 PMCID: PMC11192026 DOI: 10.7717/peerj.17547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 05/19/2024] [Indexed: 06/25/2024] Open
Abstract
Predation threat is a major driver of behavior in many prey species. Animals can recognize their relative risk of predation based on cues in the environment, including visual and/or chemical cues released by a predator or from its prey. When threat of predation is high, prey often respond by altering their behavior to reduce their probability of detection and/or capture. Here, we test how a clonal fish, the Amazon molly (Poecilia formosa), behaviorally responds to predation cues. We measured aggressive and social behaviors both under 'risk', where chemical cues from predatory fish and injured conspecifics were present, and control contexts (no risk cues present). We predicted that mollies would exhibit reduced aggression towards a simulated intruder and increased sociability under risk contexts as aggression might increase their visibility to a predator and shoaling should decrease their chance of capture through the dilution effect. As predicted, we found that Amazon mollies spent more time with a conspecific when risk cues were present, however they did not reduce their aggression. This highlights the general result of the 'safety in numbers' behavioral response that many small shoaling species exhibit, including these clonal fish, which suggests that mollies may view this response as a more effective anti-predator response compared to limiting their detectability by reducing aggressive conspecific interactions.
Collapse
Affiliation(s)
- Jonathan Aguiñaga
- Ecology and Evolution, Center for Population Biology, University of California, Davis, Davis, United States of America
| | - Sophia Jin
- Ecology and Evolution, Center for Population Biology, University of California, Davis, Davis, United States of America
| | - Ishita Pesati
- Ecology and Evolution, Center for Population Biology, University of California, Davis, Davis, United States of America
| | - Kate L. Laskowski
- Ecology and Evolution, Center for Population Biology, University of California, Davis, Davis, United States of America
| |
Collapse
|
3
|
Kleinhappel TK, Pike TW, Burman OHP. Changes in group behaviour in response to a preferred environment reflect positive affect. Sci Rep 2023; 13:10576. [PMID: 37386060 PMCID: PMC10310767 DOI: 10.1038/s41598-023-37763-0] [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: 03/10/2023] [Accepted: 06/27/2023] [Indexed: 07/01/2023] Open
Abstract
When observed in their preferred environments, animals display behavioural changes, such as an increase in resting or a reduction in agonism, suggestive of positive affect and improved welfare. However, most studies focus on the behaviour of individuals or, at most, pairs of animals; even though in group-living animals beneficial environmental changes may impact on how the group behaves as a whole. In this study, we investigated whether experiencing a preferred visual environment affected the shoaling behaviour of zebrafish (Danio rerio) groups. We first confirmed a group preference for an image of gravel placed underneath the base of a tank compared to a plain white image. Second, we observed replicated groups either with or without the preferred (gravel) image present to determine if a visually enriched and preferred environment could elicit changes in shoaling behaviour. We found a significant interaction between the observation time and test condition, with differences in shoaling behaviour reflective of increased relaxation emerging gradually over time in the gravel condition. The findings of this study reveal that experiencing a preferred environment can alter group behaviour, making such holistic changes valuable as potential indicators of positive welfare.
Collapse
Affiliation(s)
| | - Thomas W Pike
- School of Life Sciences, University of Lincoln, Lincoln, LN6 7DL, UK
| | - Oliver H P Burman
- School of Life Sciences, University of Lincoln, Lincoln, LN6 7DL, UK.
| |
Collapse
|
4
|
de Azevedo CS, Cipreste CF, Pizzutto CS, Young RJ. Review of the Effects of Enclosure Complexity and Design on the Behaviour and Physiology of Zoo Animals. Animals (Basel) 2023; 13:ani13081277. [PMID: 37106840 PMCID: PMC10135285 DOI: 10.3390/ani13081277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/03/2023] [Accepted: 04/04/2023] [Indexed: 04/29/2023] Open
Abstract
The complexity of the habitat refers to its physical geometry, which includes abiotic and biotic elements. Habitat complexity is important because it allows more species to coexist and, consequently, more interactions to be established among them. The complexity of the habitat links the physical structure of the enclosure to the biological interactions, which occur within its limits. Enclosure complexity should vary temporally, to be able to influence the animals in different ways, depending on the period of the day and season and throughout the year. In the present paper, we discuss how habitat complexity is important, and how it can positively influence the physical and mental states of zoo animals. We show how habitat complexity can ultimately affect educational projects. Finally, we discuss how we can add complexity to enclosures and, thus, make the lives of animals more interesting and functional.
Collapse
Affiliation(s)
- Cristiano Schetini de Azevedo
- Departamento de Biodiversidade, Evolução e Meio Ambiente, Instituto de Ciências Exatas e Biológicas, Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro, s/n Bauxita, Ouro Preto 35400-000, Brazil
| | | | - Cristiane Schilbach Pizzutto
- Programa de Pós-graduação em Reprodução Animal, Faculdade de Medicina Veterinária, Universidade de São Paulo, Avenida Dr. Orlando Marques de Paiva, 87, Cidade Universitária Armando Salles de Oliveira, São Paulo 05508-270, Brazil
| | - Robert John Young
- School of Science, Engineering and Environment, University of Salford Manchester, Peel Building-Room G51, Salford M5 4WT, UK
| |
Collapse
|
5
|
Davis ON, Shah P, Rahin O, Wund MA. Threespine stickleback do not use social cues to learn about predation risk. Behav Processes 2023; 206:104846. [PMID: 36805360 DOI: 10.1016/j.beproc.2023.104846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 12/28/2022] [Accepted: 02/13/2023] [Indexed: 02/17/2023]
Abstract
Animals can use a variety of sources of information to learn about local predation threats, including the behavior of conspecifics. Socially-acquired information about predation risk has been demonstrated in a variety of fish species, so the phenomenon is likely taxonomically widespread. Threespine stickleback fish are a geographically widespread species that encounters a variety of native and introduced predators throughout its range; as such, learning to recognize predators may be an important component of survival. We assessed whether laboratory-bred, predator-naïve stickleback could learn to fear the odor of a live rainbow trout by first observing videos of conspecifics exhibiting antipredator responses in the presence of trout odor. We found that this is not the case: following one conditioning trial in which trout odor was paired with videos of frightened conspecifics, stickleback did not exhibit an increase in antipredator behavior (e.g., a decrease in activity or an increase in hiding) in the presence of trout odor. Although there is evidence that stickleback use social information to find foraging patches, it does not appear that they do the same to learn about predation threat, at least in the context of our experimental conditions.
Collapse
Affiliation(s)
- Olivia N Davis
- Department of Biology, The College of New Jersey, Ewing, NJ 08628, USA; Center for Biology and Society, Arizona State University, Tempe, AZ 85287, USA
| | - Princy Shah
- Department of Biology, The College of New Jersey, Ewing, NJ 08628, USA
| | - Omeed Rahin
- Department of Biology, The College of New Jersey, Ewing, NJ 08628, USA
| | - Matthew A Wund
- Department of Biology, The College of New Jersey, Ewing, NJ 08628, USA.
| |
Collapse
|
6
|
Welklin JF, Lantz SM, Khalil S, Moody NM, Karubian J, Webster MS. Photoperiod and rainfall are associated with seasonal shifts in social structure in a songbird. Behav Ecol 2022. [DOI: 10.1093/beheco/arac110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Abstract
Seasonally breeding animals often exhibit different social structures during non-breeding and breeding periods that coincide with seasonal environmental variation and resource abundance. However, we know little about the environmental factors associated with when seasonal shifts in social structure occur. This lack of knowledge contrasts with our well-defined knowledge of the environmental cues that trigger a shift to breeding physiology in seasonally breeding species. Here, we identified some of the main environmental factors associated with seasonal shifts in social structure and initiation of breeding in the red-backed fairywren (Malurus melanocephalus), an Australian songbird. Social network analyses revealed that social groups, which are highly territorial during the breeding season, interact in social “communities” on larger home ranges during the non-breeding season. Encounter rates among non-breeding groups were related to photoperiod and rainfall, with shifting photoperiod and increased rainfall associated with a shift toward territorial breeding social structure characterized by reductions in home range size and fewer encounters among non-breeding social groups. Similarly, onset of breeding was highly seasonal and was also associated with non-breeding season rainfall, with greater rainfall leading to earlier breeding. These findings reveal that for some species, the environmental factors associated with the timing of shifts in social structure across seasonal boundaries can be similar to those that determine timing of breeding. This study increases our understanding of the environmental factors associated with seasonal variation in social structure and how the timing of these shifts may respond to changing climates.
Collapse
Affiliation(s)
- Joseph F Welklin
- Department of Neurobiology and Behavior, Cornell University , 215 Tower Rd, Ithaca, NY 14853 , USA
- Cornell Lab of Ornithology , 159 Sapsucker Woods Rd, Ithaca, NY 14850 , USA
| | - Samantha M Lantz
- Department of Ecology and Evolutionary Biology, Tulane University , 400 Lindy Boggs Center, New Orleans, LA 70118 , USA
| | - Sarah Khalil
- Cornell Lab of Ornithology , 159 Sapsucker Woods Rd, Ithaca, NY 14850 , USA
- Department of Ecology and Evolutionary Biology, Tulane University , 400 Lindy Boggs Center, New Orleans, LA 70118 , USA
| | - Nicole M Moody
- Department of Ecology and Evolutionary Biology, Tulane University , 400 Lindy Boggs Center, New Orleans, LA 70118 , USA
- Department of Ecology and Evolutionary Biology, Brown University , 80 Waterman St, Providence, RI 02912 , USA
| | - Jordan Karubian
- Department of Ecology and Evolutionary Biology, Tulane University , 400 Lindy Boggs Center, New Orleans, LA 70118 , USA
| | - Michael S Webster
- Department of Neurobiology and Behavior, Cornell University , 215 Tower Rd, Ithaca, NY 14853 , USA
- Cornell Lab of Ornithology , 159 Sapsucker Woods Rd, Ithaca, NY 14850 , USA
| |
Collapse
|
7
|
Marfurt SM, Allen SJ, Bizzozzero MR, Willems EP, King SL, Connor RC, Kopps AM, Wild S, Gerber L, Wittwer S, Krützen M. Association patterns and community structure among female bottlenose dolphins: environmental, genetic and cultural factors. Mamm Biol 2022; 102:1373-1387. [PMID: 36998433 PMCID: PMC10040398 DOI: 10.1007/s42991-022-00259-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 05/16/2022] [Indexed: 11/06/2022]
Abstract
AbstractSocial structuring from assortative associations may affect individual fitness, as well as population-level processes. Gaining a broader understanding of social structure can improve our knowledge of social evolution and inform wildlife conservation. We investigated association patterns and community structure of female Indo-Pacific bottlenose dolphins (Tursiops aduncus) in Shark Bay, Western Australia, assessing the role of kinship, shared culturally transmitted foraging techniques, and habitat similarity based on water depth. Our results indicated that associations are influenced by a combination of uni- and biparental relatedness, cultural behaviour and habitat similarity, as these were positively correlated with a measure of dyadic association. These findings were matched in a community level analysis. Members of the same communities overwhelmingly shared the same habitat and foraging techniques, demonstrating a strong homophilic tendency. Both uni- and biparental relatedness between dyads were higher within than between communities. Our results illustrate that intraspecific variation in sociality in bottlenose dolphins is influenced by a complex combination of genetic, cultural, and environmental aspects.
Collapse
Affiliation(s)
- Svenja M. Marfurt
- Evolutionary Genetics Group, Department of Anthropology, University of Zurich, 8057 Zurich, Switzerland
| | - Simon J. Allen
- Evolutionary Genetics Group, Department of Anthropology, University of Zurich, 8057 Zurich, Switzerland
- School of Biological Sciences, University of Western Australia, Perth, WA 6009 Australia
- School of Biological Sciences, University of Bristol, Bristol, BS8 1TQ UK
| | - Manuela R. Bizzozzero
- Evolutionary Genetics Group, Department of Anthropology, University of Zurich, 8057 Zurich, Switzerland
| | - Erik P. Willems
- Department of Anthropology, University of Zurich, 8057 Zurich, Switzerland
| | - Stephanie L. King
- School of Biological Sciences, University of Western Australia, Perth, WA 6009 Australia
- School of Biological Sciences, University of Bristol, Bristol, BS8 1TQ UK
| | | | - Anna M. Kopps
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052 Australia
| | - Sonja Wild
- Cognitive and Cultural Ecology Research Group, Max Planck Institute of Animal Behaviour, Am Obstberg 1, 78315 Radolfzell, Germany
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Universitätsstrasse 10, 78464 Constance, Germany
| | - Livia Gerber
- Evolutionary Genetics Group, Department of Anthropology, University of Zurich, 8057 Zurich, Switzerland
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052 Australia
| | - Samuel Wittwer
- Evolutionary Genetics Group, Department of Anthropology, University of Zurich, 8057 Zurich, Switzerland
| | - Michael Krützen
- Evolutionary Genetics Group, Department of Anthropology, University of Zurich, 8057 Zurich, Switzerland
| |
Collapse
|
8
|
Experimental manipulation of food distribution alters social networks and information transmission across environments in a food-caching bird. Anim Behav 2022. [DOI: 10.1016/j.anbehav.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
|
9
|
Chimento M, Barrett BJ, Kandler A, Aplin LM. Cultural diffusion dynamics depend on behavioural production rules. Proc Biol Sci 2022; 289:20221001. [PMID: 35946158 PMCID: PMC9363993 DOI: 10.1098/rspb.2022.1001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Culture is an outcome of both the acquisition of knowledge about behaviour through social transmission, and its subsequent production by individuals. Acquisition and production are often discussed or modelled interchangeably, yet to date no study has explored the consequences of their interaction for cultural diffusions. We present a generative model that integrates the two, and ask how variation in production rules might influence diffusion dynamics. Agents make behavioural choices that change as they learn from their productions. Their repertoires may also change, and the acquisition of behaviour is conditioned on its frequency. We analyse the diffusion of a novel behaviour through social networks, yielding generalizable predictions of how individual-level behavioural production rules influence population-level diffusion dynamics. We then investigate how linking acquisition and production might affect the performance of two commonly used inferential models for social learning; network-based diffusion analysis, and experience-weighted attraction models. We find that the influence that production rules have on diffusion dynamics has consequences for how inferential methods are applied to empirical data. Our model illuminates the differences between social learning and social influence, demonstrates the overlooked role of reinforcement learning in cultural diffusions, and allows for clearer discussions about social learning strategies.
Collapse
Affiliation(s)
- Michael Chimento
- Cognitive and Cultural Ecology Research Group, Max Planck Institute of Animal Behavior, Am Obstberg 1, Radolfzell 78315, Germany.,Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Universitätsstraße 10, Konstanz 78464, Germany.,Department of Biology, University of Konstanz, Universitätsstraße 10, Konstanz 78464, Germany
| | - Brendan J Barrett
- Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Am Obstberg 1, Radolfzell 78315, Germany.,Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Universitätsstraße 10, Konstanz 78464, Germany.,Department of Biology, University of Konstanz, Universitätsstraße 10, Konstanz 78464, Germany.,Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, Leipzig 04103, Germany
| | - Anne Kandler
- Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, Leipzig 04103, Germany
| | - Lucy M Aplin
- Cognitive and Cultural Ecology Research Group, Max Planck Institute of Animal Behavior, Am Obstberg 1, Radolfzell 78315, Germany.,Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Universitätsstraße 10, Konstanz 78464, Germany.,Division of Ecology and Evolution, Research School of Biology, The Australian National University, 46 Sullivan Creek Road, Canberra, Australian Capital Territory 2600, Australia
| |
Collapse
|
10
|
Harel R, Alavi S, Ashbury AM, Aurisano J, Berger-Wolf T, Davis GH, Hirsch BT, Kalbitzer U, Kays R, Mclean K, Núñez CL, Vining A, Walton Z, Havmøller RW, Crofoot MC. Life in 2.5D: Animal Movement in the Trees. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.801850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The complex, interconnected, and non-contiguous nature of canopy environments present unique cognitive, locomotor, and sensory challenges to their animal inhabitants. Animal movement through forest canopies is constrained; unlike most aquatic or aerial habitats, the three-dimensional space of a forest canopy is not fully realized or available to the animals within it. Determining how the unique constraints of arboreal habitats shape the ecology and evolution of canopy-dwelling animals is key to fully understanding forest ecosystems. With emerging technologies, there is now the opportunity to quantify and map tree connectivity, and to embed the fine-scale horizontal and vertical position of moving animals into these networks of branching pathways. Integrating detailed multi-dimensional habitat structure and animal movement data will enable us to see the world from the perspective of an arboreal animal. This synthesis will shed light on fundamental aspects of arboreal animals’ cognition and ecology, including how they navigate landscapes of risk and reward and weigh energetic trade-offs, as well as how their environment shapes their spatial cognition and their social dynamics.
Collapse
|
11
|
Costello RA, Cook PA, Formica VA, Brodie ED. Group and individual social network metrics are robust to changes in resource distribution in experimental populations of forked fungus beetles. J Anim Ecol 2022; 91:895-907. [PMID: 35220593 PMCID: PMC9313900 DOI: 10.1111/1365-2656.13684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 02/16/2022] [Indexed: 11/18/2022]
Abstract
Social interactions drive many important ecological and evolutionary processes. It is therefore essential to understand the intrinsic and extrinsic factors that underlie social patterns. A central tenet of the field of behavioural ecology is the expectation that the distribution of resources shapes patterns of social interactions. We combined experimental manipulations with social network analyses to ask how patterns of resource distribution influence complex social interactions. We experimentally manipulated the distribution of an essential food and reproductive resource in semi‐natural populations of forked fungus beetles Bolitotherus cornutus. We aggregated resources into discrete clumps in half of the populations and evenly dispersed resources in the other half. We then observed social interactions between individually marked beetles. Half‐way through the experiment, we reversed the resource distribution in each population, allowing us to control any demographic or behavioural differences between our experimental populations. At the end of the experiment, we compared individual and group social network characteristics between the two resource distribution treatments. We found a statistically significant but quantitatively small effect of resource distribution on individual social network position and detected no effect on group social network structure. Individual connectivity (individual strength) and individual cliquishness (local clustering coefficient) increased in environments with clumped resources, but this difference explained very little of the variance in individual social network position. Individual centrality (individual betweenness) and measures of overall social structure (network density, average shortest path length and global clustering coefficient) did not differ between environments with dramatically different distributions of resources. Our results illustrate that the resource environment, despite being fundamental to our understanding of social systems, does not always play a central role in shaping social interactions. Instead, our results suggest that sex differences and temporally fluctuating environmental conditions may be more important in determining patterns of social interactions.
Collapse
Affiliation(s)
| | - Phoebe A. Cook
- Department of Biology University of Virginia Charlottesville VA USA
| | | | - Edmund D. Brodie
- Department of Biology University of Virginia Charlottesville VA USA
| |
Collapse
|
12
|
Group size and modularity interact to shape the spread of infection and information through animal societies. Behav Ecol Sociobiol 2021; 75:163. [PMID: 34866760 PMCID: PMC8626757 DOI: 10.1007/s00265-021-03102-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 11/08/2021] [Accepted: 11/10/2021] [Indexed: 11/23/2022]
Abstract
Social interactions between animals can provide many benefits, including the ability to gain useful environmental information through social learning. However, these social contacts can also facilitate the transmission of infectious diseases through a population. Animals engaging in social interactions therefore face a trade-off between the potential informational benefits and the risk of acquiring disease. Theoretical models have suggested that modular social networks, associated with the formation of groups or sub-groups, can slow spread of infection by trapping it within particular groups. However, these social structures will not necessarily impact the spread of information in the same way if its transmission follows a “complex contagion”, e.g. through individuals disproportionally copying the majority (conformist learning). Here we use simulation models to demonstrate that modular networks can promote the spread of information relative to the spread of infection, but only when the network is fragmented and group sizes are small. We show that the difference in transmission between information and disease is maximised for more well-connected social networks when the likelihood of transmission is intermediate. Our results have important implications for understanding the selective pressures operating on the social structure of animal societies, revealing that highly fragmented networks such as those formed in fission–fusion social groups and multilevel societies can be effective in modulating the infection-information trade-off for individuals within them.
Collapse
|
13
|
Fisher DN, Kilgour RJ, Siracusa ER, Foote JR, Hobson EA, Montiglio PO, Saltz JB, Wey TW, Wice EW. Anticipated effects of abiotic environmental change on intraspecific social interactions. Biol Rev Camb Philos Soc 2021; 96:2661-2693. [PMID: 34212487 DOI: 10.1111/brv.12772] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 06/18/2021] [Accepted: 06/21/2021] [Indexed: 12/30/2022]
Abstract
Social interactions are ubiquitous across the animal kingdom. A variety of ecological and evolutionary processes are dependent on social interactions, such as movement, disease spread, information transmission, and density-dependent reproduction and survival. Social interactions, like any behaviour, are context dependent, varying with environmental conditions. Currently, environments are changing rapidly across multiple dimensions, becoming warmer and more variable, while habitats are increasingly fragmented and contaminated with pollutants. Social interactions are expected to change in response to these stressors and to continue to change into the future. However, a comprehensive understanding of the form and magnitude of the effects of these environmental changes on social interactions is currently lacking. Focusing on four major forms of rapid environmental change currently occurring, we review how these changing environmental gradients are expected to have immediate effects on social interactions such as communication, agonistic behaviours, and group formation, which will thereby induce changes in social organisation including mating systems, dominance hierarchies, and collective behaviour. Our review covers intraspecific variation in social interactions across environments, including studies in both the wild and in laboratory settings, and across a range of taxa. The expected responses of social behaviour to environmental change are diverse, but we identify several general themes. First, very dry, variable, fragmented, or polluted environments are likely to destabilise existing social systems. This occurs as these conditions limit the energy available for complex social interactions and affect dissimilar phenotypes differently. Second, a given environmental change can lead to opposite responses in social behaviour, and the direction of the response often hinges on the natural history of the organism in question. Third, our review highlights the fact that changes in environmental factors are not occurring in isolation: multiple factors are changing simultaneously, which may have antagonistic or synergistic effects, and more work should be done to understand these combined effects. We close by identifying methodological and analytical techniques that might help to study the response of social interactions to changing environments, highlight consistent patterns among taxa, and predict subsequent evolutionary change. We expect that the changes in social interactions that we document here will have consequences for individuals, groups, and for the ecology and evolution of populations, and therefore warrant a central place in the study of animal populations, particularly in an era of rapid environmental change.
Collapse
Affiliation(s)
- David N Fisher
- School of Biological Sciences, University of Aberdeen, King's College, Aberdeen, AB24 3FX, U.K
| | - R Julia Kilgour
- Department of Animal Sciences, Purdue University, West Lafayette, IN, 47907, U.S.A
| | - Erin R Siracusa
- Centre for Research in Animal Behaviour, School of Psychology, University of Exeter, Stocker Road, Exeter, EX4 4PY, U.K
| | - Jennifer R Foote
- Department of Biology, Algoma University, 1520 Queen Street East, Sault Ste. Marie, ON, P6A 2G4, Canada
| | - Elizabeth A Hobson
- Department of Biological Sciences, University of Cincinnati, 318 College Drive, Cincinnati, OH, 45221, U.S.A
| | - Pierre-Olivier Montiglio
- Département des Sciences Biologiques, Université du Québec à Montréal, 141 Avenue Président-Kennedy, Montréal, QC, H2X 3X8, Canada
| | - Julia B Saltz
- Department of Biosciences, Rice University, 6100 Main Street, Houston, TX, 77005-1827, U.S.A
| | - Tina W Wey
- Maelstrom Research, The Research Institute of the McGill University Health Centre, Montreal General Hospital, 1650 Cedar Avenue, Montréal, QC, H3G 1A4, Canada
| | - Eric W Wice
- Department of Biosciences, Rice University, 6100 Main Street, Houston, TX, 77005-1827, U.S.A
| |
Collapse
|
14
|
Heinen VK, Pitera AM, Sonnenberg BR, Benedict LM, Bridge ES, Farine DR, Pravosudov VV. Food discovery is associated with different reliance on social learning and lower cognitive flexibility across environments in a food-caching bird. Proc Biol Sci 2021; 288:20202843. [PMID: 34004135 PMCID: PMC8131126 DOI: 10.1098/rspb.2020.2843] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 04/26/2021] [Indexed: 11/12/2022] Open
Abstract
Social learning is a primary mechanism for information acquisition in social species. Despite many benefits, social learning may be disadvantageous when independent learning is more efficient. For example, searching independently may be more advantageous when food sources are ephemeral and unpredictable. Individual differences in cognitive abilities can also be expected to influence social information use. Specifically, better spatial memory can make a given environment more predictable for an individual by allowing it to better track food sources. We investigated how resident food-caching chickadees discovered multiple novel food sources in both harsher, less predictable high elevation and milder, more predictable low elevation winter environments. Chickadees at high elevation were faster at discovering multiple novel food sources and discovered more food sources than birds at low elevation. While birds at both elevations used social information, the contribution of social learning to food discovery was significantly lower at high elevation. At both elevations, chickadees with better spatial cognitive flexibility were slower at discovering food sources, likely because birds with lower spatial cognitive flexibility are worse at tracking natural resources and therefore spend more time exploring. Overall, our study supported the prediction that harsh environments should favour less reliance on social learning.
Collapse
Affiliation(s)
| | - Angela M. Pitera
- Department of Biology, University of Nevada Reno, Reno, NV 89557, USA
| | | | | | - Eli S. Bridge
- Oklahoma Biological Survey, University of Oklahoma, Norman, OK 73019, USA
| | - Damien R. Farine
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057 Zurich, Switzerland
- Department of Collective Behaviour, Max Planck Institute of Animal Behaviour, 78464 Konstanz, Germany
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, 78464 Konstanz, Germany
| | | |
Collapse
|
15
|
Laker PR, Hoppitt W, Weiss M, Madden JR. The modularity of a social group does not affect the transmission speed of a novel, socially learned behaviour, or the formation of local variants. Proc Biol Sci 2021; 288:20202614. [PMID: 33757345 PMCID: PMC8059538 DOI: 10.1098/rspb.2020.2614] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 02/28/2021] [Indexed: 01/14/2023] Open
Abstract
The structure of a group is critical in determining how a socially learnt behaviour will spread. Predictions from theoretical models indicate that specific parameters of social structure differentially influence social transmission. Modularity describes how the structure of a group or network is divided into distinct subgroups or clusters. Theoretical modelling indicates that the modularity of a network will predict the rate of behavioural spread within a group, with higher modularity slowing the rate of spread and facilitating the establishment of local behavioural variants which can prelude local cultures. Despite prolific modelling approaches, empirical tests via manipulations of group structure remain scarce. We experimentally manipulated the modularity of populations of domestic fowl chicks, Gallus gallus domesticus, to affect the transmission of a novel foraging behaviour. We compared the spread of behaviour in populations with networks of high or low modularity against control populations where social transmission was prevented. We found the foraging behaviour to spread socially between individuals when the social transmission was permitted; however, modularity did not increase the speed of behavioural spread nor lead to the initial establishments of shared behavioural variants. This result suggests that factors in the social transmission process additional to the network structure may influence behavioural spread.
Collapse
Affiliation(s)
| | - William Hoppitt
- Department of Biological Sciences, Royal Holloway, University of London, Egham, Surrey, UK
| | - Michael Weiss
- Department of Psychology, University of Exeter, Exeter EX4 4QG, UK
| | - Joah R. Madden
- Department of Psychology, University of Exeter, Exeter EX4 4QG, UK
| |
Collapse
|
16
|
Tóth Z, Jaloveczki B, Tarján G. Diffusion of Social Information in Non-grouping Animals. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.586058] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Recent findings indicate that the utilization of social information, produced inadvertently by other individuals through their spatial location and/or interaction with the environment, may be ubiquitous in the animal kingdom. If so, social information-mediated effects on population growth and interspecies interactions may be more prevalent than previously thought. However, little is known about how social information may spread among non-grouping individuals, i.e., in animals that do not form cohesive groups and therefore social attraction among group-mates does not facilitate information diffusion. Are there any perception-related, temporal, and/or spatial parameters that may facilitate or limit the spread of social information in temporary aggregations or among dispersed individuals in a population? We argue that living in cohesive groups is not necessarily required for the diffusion of social information and for social information-mediated effects to emerge in a population. We propose that while learning complex problem-solving techniques socially is less likely to occur in non-grouping animals, the spread of adaptive responses to social stimuli, especially to non-visual cues, can be common and may affect population, and/or community dynamics in a wide range of taxa. We also argue that network-based diffusion analysis could be a suitable analytical method for studying information diffusion in future investigations, providing comparable estimations of social effects on information spread to previous studies on group-living animals. We conclude that more studies are warranted to verify what intrinsic and extrinsic factors influence information propagation among incidentally and/or indirectly interacting individuals if we are to better understand the role of social information in animal populations and how the social and ecological characteristics of species are related to information spread in natural communities.
Collapse
|
17
|
Evans JC, Silk MJ, Boogert NJ, Hodgson DJ. Infected or informed? Social structure and the simultaneous transmission of information and infectious disease. OIKOS 2020. [DOI: 10.1111/oik.07148] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Julian C. Evans
- Dept of Evolutionary Biology and Environmental Studies, Univ. of Zurich Switzerland
| | - Matthew J. Silk
- Centre for Ecology and Conservation, Univ. of Exeter Penryn Campus UK
- Environment and Sustainability Inst., Univ. of Exeter Penryn Campus UK
| | | | - David J. Hodgson
- Centre for Ecology and Conservation, Univ. of Exeter Penryn Campus UK
| |
Collapse
|
18
|
Information use in foraging flocks of songbirds: no evidence for social transmission of patch quality. Anim Behav 2020. [DOI: 10.1016/j.anbehav.2020.04.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
|
19
|
Shelton DS, Shelton SG, Daniel DK, Raja M, Bhat A, Tanguay RL, Higgs DM, Martins EP. Collective Behavior in Wild Zebrafish. Zebrafish 2020; 17:243-252. [PMID: 32513074 DOI: 10.1089/zeb.2019.1851] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Anthropogenic change is expected to alter environments at alarming rates. To predict the impact of modified environments on social behavior, we must study the relationship between environmental features and collective behavior in a genetically tractable model, zebrafish (Danio rerio). Here, we conducted a field study to examine the relationship between salient environmental features and collective behavior in four populations of zebrafish. We found zebrafish in flowing water formed volatile groups, whereas those in still water had more consistent membership and leadership. Groups in fast-flowing water were large (up to 2000 fish) and tightly knit with short nearest neighbor distances, whereas group sizes were smaller (11 fish/group) with more space between individual fish in still and slow-flowing water. These observations point to a possible profound role of water flow in influencing collective behavior in wild zebrafish.
Collapse
Affiliation(s)
- Delia S Shelton
- Environmental and Molecular Toxicology, Sinnhuber Aquatic Research Laboratory, Oregon State University, Corvallis, Oregon, USA.,Leibniz Institute for Freshwater Ecology and Inland Fisheries, Berlin, Germany.,Department of Biological Sciences, University of Windsor, Windsor, Canada
| | | | - Danita K Daniel
- Department of Biological Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur, India
| | - Manickam Raja
- Department of Biomedical Engineering, The Kavery College of Engineering, Salem, India
| | - Anuradha Bhat
- Department of Biological Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur, India
| | - Robyn L Tanguay
- Environmental and Molecular Toxicology, Sinnhuber Aquatic Research Laboratory, Oregon State University, Corvallis, Oregon, USA
| | - Dennis M Higgs
- Department of Biological Sciences, University of Windsor, Windsor, Canada
| | - Emília P Martins
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| |
Collapse
|
20
|
Fisher DN, Pruitt JN. Insights from the study of complex systems for the ecology and evolution of animal populations. Curr Zool 2020; 66:1-14. [PMID: 32467699 PMCID: PMC7245006 DOI: 10.1093/cz/zoz016] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Accepted: 04/02/2019] [Indexed: 12/01/2022] Open
Abstract
Populations of animals comprise many individuals, interacting in multiple contexts, and displaying heterogeneous behaviors. The interactions among individuals can often create population dynamics that are fundamentally deterministic yet display unpredictable dynamics. Animal populations can, therefore, be thought of as complex systems. Complex systems display properties such as nonlinearity and uncertainty and show emergent properties that cannot be explained by a simple sum of the interacting components. Any system where entities compete, cooperate, or interfere with one another may possess such qualities, making animal populations similar on many levels to complex systems. Some fields are already embracing elements of complexity to help understand the dynamics of animal populations, but a wider application of complexity science in ecology and evolution has not occurred. We review here how approaches from complexity science could be applied to the study of the interactions and behavior of individuals within animal populations and highlight how this way of thinking can enhance our understanding of population dynamics in animals. We focus on 8 key characteristics of complex systems: hierarchy, heterogeneity, self-organization, openness, adaptation, memory, nonlinearity, and uncertainty. For each topic we discuss how concepts from complexity theory are applicable in animal populations and emphasize the unique insights they provide. We finish by outlining outstanding questions or predictions to be evaluated using behavioral and ecological data. Our goal throughout this article is to familiarize animal ecologists with the basics of each of these concepts and highlight the new perspectives that they could bring to variety of subfields.
Collapse
Affiliation(s)
- David N Fisher
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Jonathan N Pruitt
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| |
Collapse
|
21
|
Tringali A, Sherer DL, Cosgrove J, Bowman R. Life history stage explains behavior in a social network before and during the early breeding season in a cooperatively breeding bird. PeerJ 2020; 8:e8302. [PMID: 32095315 PMCID: PMC7020825 DOI: 10.7717/peerj.8302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 11/26/2019] [Indexed: 12/03/2022] Open
Abstract
In species with stage-structured populations selection pressures may vary between different life history stages and result in stage-specific behaviors. We use life history stage to explain variation in the pre and early breeding season social behavior of a cooperatively breeding bird, the Florida scrub-jay (Aphelocoma coerulescens) using social network analysis. Life history stage explains much of the variation we observed in social network position. These differences are consistent with nearly 50 years of natural history observations and generally conform to a priori predictions about how individuals in different stages should behave to maximize their individual fitness. Where the results from the social network analysis differ from the a priori predictions suggest that social interactions between members of different groups are more important for breeders than previously thought. Our results emphasize the importance of accounting for life history stage in studies of individual social behavior.
Collapse
Affiliation(s)
- Angela Tringali
- Avian Ecology Program, Archbold Biological Station, Venus, FL, United States of America
| | - David L Sherer
- Avian Ecology Program, Archbold Biological Station, Venus, FL, United States of America.,Department of Biology, University of Central Florida, Orlando, FL, United States of America
| | - Jillian Cosgrove
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America
| | - Reed Bowman
- Avian Ecology Program, Archbold Biological Station, Venus, FL, United States of America
| |
Collapse
|
22
|
Dorning J, Harris S. Understanding the intricacy of canid social systems: Structure and temporal stability of red fox (Vulpes vulpes) groups. PLoS One 2019; 14:e0220792. [PMID: 31509536 PMCID: PMC6738593 DOI: 10.1371/journal.pone.0220792] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 07/23/2019] [Indexed: 11/18/2022] Open
Abstract
Red foxes have a highly flexible social system. Despite numerous studies worldwide, our understanding of the pattern and stability of fox social relationships remains limited. We applied social network analysis to camera trap data collected at high-quality foraging patches to examine the social structure of a population of urban red foxes. Foxes encountered a conspecific on 13% of patch visits, and had significant preferred and avoided companionships in all seasons. They also associated in communities that matched territorial space use, confirming that territories can be analysed separately to increase power without excluding too many social partners. Foxes maintained stable, long-term relationships with other territory residents, but the average longevity of relationships varied seasonally, suggesting that social connectivity, particularly between foxes from different social groups, is influenced by their annual life cycle. The probability of re-association after a given time lag was highest in spring and summer, during cub birth and rearing, and lowest in the winter mating season, when mean relationship duration was shorter. 33% of fox relationships lasted for four consecutive seasons and were probably between territory residents. 14% lasted for around 20 days and were probably between residents and visitors from adjacent territories. The majority (53%) lasted less than one day, particularly during dispersal and mating, and were probably between foxes from non-adjacent social groups. Social structure varied between groups; in one group the death of the dominant male caused significant social disruption for two seasons. This is the first application of social network analysis to multiple red fox social groups. However, our analyses were based on interactions at high quality food patches; social connections may differ when foxes are resting, travelling and foraging elsewhere in their territory. Our results will inform management practices, particularly for disease spread and population control.
Collapse
Affiliation(s)
- Jo Dorning
- School of Biological Sciences, University of Bristol, Bristol, England, United Kingdom
- * E-mail:
| | - Stephen Harris
- School of Biological Sciences, University of Bristol, Bristol, England, United Kingdom
| |
Collapse
|
23
|
Webster MM, Chouinard-Thuly L, Herczeg G, Kitano J, Riley R, Rogers S, Shapiro MD, Shikano T, Laland KN. A four-questions perspective on public information use in sticklebacks (Gasterosteidae). ROYAL SOCIETY OPEN SCIENCE 2019; 6:181735. [PMID: 30891285 PMCID: PMC6408396 DOI: 10.1098/rsos.181735] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 01/08/2019] [Indexed: 06/09/2023]
Abstract
Whether learning primarily reflects general processes or species-specific challenges is a long-standing matter of dispute. Here, we present a comprehensive analysis of public information use (PI-use) in sticklebacks (Gasterosteidae). PI-use is a form of social learning by which animals are able to assess the relative quality of resources, here prey patches, by observing the behaviour of others. PI-use was highly specific with only Pungitius and their closest relative Culaea inconstans showing evidence of PI-use. We saw no effects of ontogenetic experience upon PI-use in Pungitius pungitius. Experiments with live demonstrators and animated fish revealed that heightened activity and feeding strikes by foraging conspecifics are important cues in the transmission of PI. Finally, PI-use was the only form of learning in which P. pungitius and another stickleback, Gasterosteus aculeatus differed. PI-use in sticklebacks is species-specific and may represent an 'ecological specialization' for social foraging. Whether this reflects selection on perception, attentional or cognitive processes remains to be determined.
Collapse
Affiliation(s)
- Mike M. Webster
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Fife KY16 9TF, UK
| | - Laura Chouinard-Thuly
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Fife KY16 9TF, UK
- Department of Biology, McGill University, 1205 Docteur Penfield, Montréal, Quebec, Canada H3A 1B1
| | - Gabor Herczeg
- Ecological Genetics Research Group, Department of Biosciences, University of Helsinki, Finland
- Behavioural Ecology Group, Department of Systematic Zoology and Ecology, Eötvös Loránd University, Hungary
| | - Jun Kitano
- Division of Ecological Genetics, National Institute of Genetics, Mishima, Japan
| | - Riva Riley
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Fife KY16 9TF, UK
- Department of Zoology, University of Cambridge, UK
| | - Sean Rogers
- Ecology and Evolutionary Biology, Calgary, Canada
| | - Michael D. Shapiro
- Department of Biology, University of Utah, Salt Lake City, UT 84112, USA
| | - Takahito Shikano
- Ecological Genetics Research Group, Department of Biosciences, University of Helsinki, Finland
| | - Kevin N. Laland
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, Fife KY16 9TF, UK
| |
Collapse
|
24
|
The role of habitat configuration in shaping social structure: a gap in studies of animal social complexity. Behav Ecol Sociobiol 2019. [DOI: 10.1007/s00265-018-2602-7] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
|
25
|
|
26
|
Hasenjager MJ, Dugatkin LA. Fear of predation shapes social network structure and the acquisition of foraging information in guppy shoals. Proc Biol Sci 2018; 284:rspb.2017.2020. [PMID: 29167364 DOI: 10.1098/rspb.2017.2020] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Accepted: 10/18/2017] [Indexed: 11/12/2022] Open
Abstract
Spatio-temporal variation in predation risk is predicted to select for plastic anti-predator responses, which may in turn impact the fine-scale social structure of prey groups and processes mediated by that structure. To test these predictions, we manipulated the ambient predation risk experienced by Trinidadian guppy (Poecilia reticulata) groups before quantifying their social networks and recording individual latencies to approach and solve a novel foraging task. High-risk conditions drove the formation of social networks that were more strongly assorted by body size than those exposed to low ambient risk and promoted longer durations of contact between preferred partners. Additionally, high background predation risk reduced the probability individuals would approach and solve a novel foraging task. Network-based diffusion analysis revealed that while social transmission of the task solution from knowledgeable to naive individuals occurred at a higher rate within low-risk groups, individuals in high-risk groups were particularly likely to investigate the task while shoaling with preferred social partners. Taken together, our results suggest that the structure and functional importance of prey social networks may partly depend on local predation pressure. Furthermore, by influencing individuals' access to information, fear of predation may impact decision-making in a potentially wide array of behavioural contexts.
Collapse
Affiliation(s)
- Matthew J Hasenjager
- Department of Biology, University of Louisville, Louisville, KY, USA .,School of Biological Sciences, Royal Holloway, University of London, Egham, UK
| | - Lee A Dugatkin
- Department of Biology, University of Louisville, Louisville, KY, USA
| |
Collapse
|
27
|
Gaffney KA, Webster MM. Consistency of fish-shoal social network structure under laboratory conditions. JOURNAL OF FISH BIOLOGY 2018; 92:1574-1589. [PMID: 29624696 DOI: 10.1111/jfb.13613] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 03/01/2018] [Indexed: 06/08/2023]
Abstract
We investigated the consistency of association network structure for groups of sticklebacks Gasterosteus aculeatus. Each group was observed twice and we varied the duration between observations and the size of the experimental arena that they were observed in. At the dyad level, we found positive correlations between dyad interaction frequencies across observations. At the group level we found variation in four network metrics between observations, but only in treatments where the duration between observations was short. Specifically, fish formed more and smaller groups in the second observation in this treatment. Fish were also organized into more subunits in the larger arenas. Finally, we saw positive correlations between some group network metrics across observations suggesting relative consistency at the group level. There are several processes that might drive these interaction patterns. Our findings have implications for experimental design and the comparison and integration of findings of experiments from different studies carried out under different conditions.
Collapse
Affiliation(s)
- K A Gaffney
- School of Biology, Harold Mitchell Building, University of St Andrews, St Andrews, Fife, KY16 9TF, U.K
| | - M M Webster
- School of Biology, Harold Mitchell Building, University of St Andrews, St Andrews, Fife, KY16 9TF, U.K
| |
Collapse
|
28
|
Evans JC, Jones TB, Morand-Ferron J. Dominance and the initiation of group feeding events: the modifying effect of sociality. Behav Ecol 2018. [DOI: 10.1093/beheco/arx194] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
| | - Teri B Jones
- School of Environmental Sciences, University of Liverpool, Jane Herdman Building, UK
| | | |
Collapse
|
29
|
Jones K, Thompson R, Godfrey S. Social networks: a tool for assessing the impact of perturbations on wildlife behaviour and implications for pathogen transmission. BEHAVIOUR 2018. [DOI: 10.1163/1568539x-00003485] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Abstract
Wildlife are increasingly subject to perturbations, which can impact pathogen transmission and lead to disease emergence. While a myriad of factors influence disease dynamics in wildlife, behaviour is emerging as a major influence. In this review, we examine how perturbations alter the behaviour of individuals and how, in turn, disease transmission may be impacted, with a focus on the use of network models as a powerful tool. There are emerging hypotheses as to how networks respond to different types of perturbations. The broad effects of perturbations make predicting potential outcomes and identifying mitigation opportunities for disease emergence critical; yet, the current paucity of data makes identification of underlying trends difficult. Social network analysis facilitates a mechanistic approach to how perturbation-induced behavioural changes result in shifts in pathogen transmission. However, the field is still developing, and future work should strive to address current deficits. There is particular need for empirical data to support modelling predictions and increased inclusion of pathogen monitoring in network studies.
Collapse
Affiliation(s)
- K.L. Jones
- aSchool of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia
| | - R.C.A. Thompson
- aSchool of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia
| | - S.S. Godfrey
- aSchool of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia
- bDepartment of Zoology, University of Otago, Dunedin, New Zealand
| |
Collapse
|
30
|
Firth JA, Sheldon BC, Farine DR. Pathways of information transmission among wild songbirds follow experimentally imposed changes in social foraging structure. Biol Lett 2017; 12:rsbl.2016.0144. [PMID: 27247439 PMCID: PMC4938043 DOI: 10.1098/rsbl.2016.0144] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Accepted: 04/29/2016] [Indexed: 11/12/2022] Open
Abstract
Animals regularly use information from others to shape their decisions. Yet, determining how changes in social structure affect information flow and social learning strategies has remained challenging. We manipulated the social structure of a large community of wild songbirds by controlling which individuals could feed together at automated feeding stations (selective feeders). We then provided novel ephemeral food patches freely accessible to all birds and recorded the spread of this new information. We demonstrate that the discovery of new food patches followed the experimentally imposed social structure and that birds disproportionately learnt from those whom they could forage with at the selective feeders. The selective feeders reduced the number of conspecific information sources available and birds subsequently increased their use of information provided by heterospecifics. Our study demonstrates that changes to social systems carry over into pathways of information transfer and that individuals learn from tutors that provide relevant information in other contexts.
Collapse
Affiliation(s)
- Josh A Firth
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, UK
| | - Ben C Sheldon
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, UK
| | - Damien R Farine
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, UK Department of Collective Behaviour, Max Planck Institute for Ornithology, 78457 Konstanz, Germany Department of Biology, University of Konstanz, 78457 Konstanz, Germany
| |
Collapse
|
31
|
Lantz SM, Karubian J. Environmental disturbance increases social connectivity in a passerine bird. PLoS One 2017; 12:e0183144. [PMID: 28854197 PMCID: PMC5576644 DOI: 10.1371/journal.pone.0183144] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2016] [Accepted: 07/31/2017] [Indexed: 11/24/2022] Open
Abstract
Individual level response to natural and anthropogenic disturbance represents an increasingly important, but as yet little understood, component of animal behavior. Disturbance events often alter habitat, which in turn can modify behaviors of individuals in affected areas, including changes in habitat use and associated changes in social structure. To better understand these relationships, we investigated aspects of habitat selection and social connectivity of a small passerine bird, the red-backed fairywren (Malurus melanocephalus), before vs. after naturally occurring fire disturbance in Northern Territory, Australia. We utilized a social network framework to evaluate changes in social dynamics pre- vs. post-fire. Our study covered the non-breeding season in two consecutive years in which fires occurred, and individuals whose habitat was affected and those that were not affected by fire. Individuals in habitat affected by fires had stronger social ties (i.e. higher weighted degree) after fires, while those that were in areas that were not affected by fire actually had lower weighted degree. We suggest that this change in social connections may be linked to habitat. Before fires, fairywrens used habitat that had similar grass cover to available habitat plots randomly generated within our study site. Fire caused a reduction in grass cover, and fairywrens responded by selecting habitat with higher grass cover relative to random plots. This study demonstrates how changes in habitat and/or resource availability caused by disturbance can lead to substantive changes in the social environment that individuals experience.
Collapse
Affiliation(s)
- Samantha M. Lantz
- Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana, United States of America
- * E-mail:
| | - Jordan Karubian
- Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana, United States of America
| |
Collapse
|
32
|
Riddell J, Webster MM. How does hunger affect convergence on prey patches in a social forager? Ethology 2017. [DOI: 10.1111/eth.12653] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Joanne Riddell
- School of Biology; University of St Andrews; St Andrews Fife UK
| | - Mike M. Webster
- School of Biology; University of St Andrews; St Andrews Fife UK
| |
Collapse
|
33
|
Jones TB, Aplin LM, Devost I, Morand-Ferron J. Individual and ecological determinants of social information transmission in the wild. Anim Behav 2017. [DOI: 10.1016/j.anbehav.2017.05.011] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|
34
|
Raoult V, Trompf L, Williamson JE, Brown C. Stress profile influences learning approach in a marine fish. PeerJ 2017; 5:e3445. [PMID: 28607840 PMCID: PMC5466811 DOI: 10.7717/peerj.3445] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Accepted: 05/18/2017] [Indexed: 12/03/2022] Open
Abstract
The spatial learning skills of high and low stress juvenile mulloway (Argyrosomus japonicus) were tested in a dichotomous choice apparatus. Groups of fish were formed based on background blood cortisol levels and required to learn the location of a food reward hidden in one of two compartments. Low stress fish characterised by low background levels of the stress hormone cortisol had higher activity levels and entered both rewarded and unrewarded rooms frequently. Within the first week of exposure, however, their preference for the rewarded room increased, indicative of learning. Fish that had high background levels of cortisol, in contrast, showed low levels of activity but when they chose between the two rooms they chose the rewarded room most often but showed less improvement over time. After 12 days in the apparatus, both low and high stress fish had similar ratios of rewarded vs unrewarded room entrances. Our results suggest that proactive coping styles may increase exposure to novel contexts and thus favour faster learning but at the cost of reduced initial accuracy.
Collapse
Affiliation(s)
- Vincent Raoult
- Department of Biological Sciences, Macquarie University, Australia
| | - Larissa Trompf
- Department of Biological Sciences, Macquarie University, Australia
| | | | - Culum Brown
- Department of Biological Sciences, Macquarie University, Australia
| |
Collapse
|
35
|
Tóth Z, Tuliozi B, Baldan D, Hoi H, Griggio M. The effect of social connections on the discovery of multiple hidden food patches in a bird species. Sci Rep 2017; 7:816. [PMID: 28400588 PMCID: PMC5429748 DOI: 10.1038/s41598-017-00929-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Accepted: 03/17/2017] [Indexed: 11/29/2022] Open
Abstract
Social foraging is thought to provide the possibility of information transmission between individuals, but this advantage has been proved only in a handful of species and contexts. We investigated how social connections in captive flocks of house sparrows (Passer domesticus) affected the discovery of (i.e. feeding for the first time from) two hidden food patches in the presence of informed flock-mates. At the first-discovered and most-exploited food patch social connections between birds affected the order of discovery and presumably contributed to a greater exploitation of this patch. However, social connections did not affect discovery at the second food patch despite its close spatial proximity. Males discovered the food sources sooner than females, while feeding activity was negatively related to patch discovery. Age had no effect on the order of discovery. Birds that first discovered and fed at the food patches were characterized by higher level of social indifference, i.e. followed others less frequently than other birds in an independent context. Our findings provide experimental evidence for the importance of variable social connections during social foraging in house sparrow flocks, and suggest that social attraction can contribute differently to the exploitation of different patches when multiple food sources are present.
Collapse
Affiliation(s)
- Zoltán Tóth
- Lendület Evolutionary Ecology Research Group, Plant Protection Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, 1022, Budapest, Hungary
| | - Beniamino Tuliozi
- Dipartimento di Biologia, Università di Padova, 35121, Padova, Italy
| | - Davide Baldan
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), 6708 PB, Wageningen, The Netherlands
| | - Herbert Hoi
- Konrad Lorenz Institute of Ethology, Department of Integrative Biology and Evolution, University of Veterinary Medicine of Vienna, 1160, Vienna, Austria
| | - Matteo Griggio
- Dipartimento di Biologia, Università di Padova, 35121, Padova, Italy.
| |
Collapse
|
36
|
Snijders L, Naguib M. Communication in Animal Social Networks. ADVANCES IN THE STUDY OF BEHAVIOR 2017. [DOI: 10.1016/bs.asb.2017.02.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
|
37
|
Hasenjager MJ, Dugatkin LA. Familiarity affects network structure and information flow in guppy (Poecilia reticulata) shoals. Behav Ecol 2016. [DOI: 10.1093/beheco/arw152] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
|
38
|
Webster MM. Experience and motivation shape leader–follower interactions in fish shoals. Behav Ecol 2016. [DOI: 10.1093/beheco/arw133] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
|
39
|
Carter AJ, Torrents Ticó M, Cowlishaw G. Sequential phenotypic constraints on social information use in wild baboons. eLife 2016; 5:e13125. [PMID: 27067236 PMCID: PMC4829417 DOI: 10.7554/elife.13125] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2015] [Accepted: 03/09/2016] [Indexed: 11/13/2022] Open
Abstract
Social information allows the rapid dissemination of novel information among individuals. However, an individual's ability to use information is likely to be dependent on phenotypic constraints operating at three successive steps: acquisition, application, and exploitation. We tested this novel framework by quantifying the sequential process of social information use with experimental food patches in wild baboons (Papio ursinus). We identified phenotypic constraints at each step of the information use sequence: peripheral individuals in the proximity network were less likely to acquire and apply social information, while subordinate females were less likely to exploit it successfully. Social bonds and personality also played a limiting role along the sequence. As a result of these constraints, the average individual only acquired and exploited social information on.
Collapse
Affiliation(s)
- Alecia J Carter
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
| | - Miquel Torrents Ticó
- Zoological Society of London, Tsaobis Baboon Project, Institute of Zoology, London, United Kingdom
| | - Guy Cowlishaw
- Zoological Society of London, Institute of Zoology, London, United Kingdom
| |
Collapse
|
40
|
Leu ST, Farine DR, Wey TW, Sih A, Bull CM. Environment modulates population social structure: experimental evidence from replicated social networks of wild lizards. Anim Behav 2016. [DOI: 10.1016/j.anbehav.2015.10.001] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
41
|
Farine DR, Whitehead H. Constructing, conducting and interpreting animal social network analysis. J Anim Ecol 2015; 84:1144-63. [PMID: 26172345 PMCID: PMC4973823 DOI: 10.1111/1365-2656.12418] [Citation(s) in RCA: 464] [Impact Index Per Article: 51.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Accepted: 06/25/2015] [Indexed: 11/27/2022]
Abstract
1. Animal social networks are descriptions of social structure which, aside from their intrinsic interest for understanding sociality, can have significant bearing across many fields of biology. 2. Network analysis provides a flexible toolbox for testing a broad range of hypotheses, and for describing the social system of species or populations in a quantitative and comparable manner. However, it requires careful consideration of underlying assumptions, in particular differentiating real from observed networks and controlling for inherent biases that are common in social data. 3. We provide a practical guide for using this framework to analyse animal social systems and test hypotheses. First, we discuss key considerations when defining nodes and edges, and when designing methods for collecting data. We discuss different approaches for inferring social networks from these data and displaying them. We then provide an overview of methods for quantifying properties of nodes and networks, as well as for testing hypotheses concerning network structure and network processes. Finally, we provide information about assessing the power and accuracy of an observed network. 4. Alongside this manuscript, we provide appendices containing background information on common programming routines and worked examples of how to perform network analysis using the r programming language. 5. We conclude by discussing some of the major current challenges in social network analysis and interesting future directions. In particular, we highlight the under-exploited potential of experimental manipulations on social networks to address research questions.
Collapse
Affiliation(s)
- Damien R Farine
- Department of Zoology, Edward Grey Institute of Field Ornithology, University of Oxford, South Parks Road, Oxford, OX1 3PS, UK
- Department of Anthropology (Evolutionary), University of California Davis, 1 Shields Avenue, Davis, CA, 95616, USA
- Smithsonian Tropical Research Institute, Ancon, Panama
| | - Hal Whitehead
- Department of Biology, Dalhousie University, 1355 Oxford St, Halifax, NS, Canada, B3H 4J1
| |
Collapse
|
42
|
Atton N, Galef BJ, Hoppitt W, Webster MM, Laland KN. Familiarity affects social network structure and discovery of prey patch locations in foraging stickleback shoals. Proc Biol Sci 2015; 281:20140579. [PMID: 25009061 PMCID: PMC4100505 DOI: 10.1098/rspb.2014.0579] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Numerous factors affect the fine-scale social structure of animal groups, but it is unclear how important such factors are in determining how individuals encounter resources. Familiarity affects shoal choice and structure in many social fishes. Here, we show that familiarity between shoal members of sticklebacks (Gasterosteus aculeatus) affects both fine-scale social organization and the discovery of resources. Social network analysis revealed that sticklebacks remained closer to familiar than to unfamiliar individuals within the same shoal. Network-based diffusion analysis revealed that there was a strong untransmitted social effect on patch discovery, with individuals tending to discover a task sooner if a familiar individual from their group had previously done so than if an unfamiliar fish had done so. However, in contrast to the effect of familiarity, the frequency with which individuals had previously associated with one another had no effect upon the likelihood of prey patch discovery. This may have been due to the influence of fish on one another's movements; the effect of familiarity on discovery of an empty ‘control’ patch was as strong as for discovery of an actual prey patch. Our results demonstrate that factors affecting fine-scale social interactions can also influence how individuals encounter and exploit resources.
Collapse
Affiliation(s)
- N Atton
- School of Biology, University of St Andrews, Harold Mitchell Building, Fife KY16 9TH, UK
| | - B J Galef
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada L8S 4K1
| | - W Hoppitt
- Animal and Environment Research Group, Anglia Ruskin University, Cambridge CB1 1PT, UK
| | - M M Webster
- School of Biology, University of St Andrews, Harold Mitchell Building, Fife KY16 9TH, UK
| | - K N Laland
- School of Biology, University of St Andrews, Harold Mitchell Building, Fife KY16 9TH, UK
| |
Collapse
|
43
|
Space-use and sociability are not related to public-information use in ninespine sticklebacks. Behav Ecol Sociobiol 2015. [DOI: 10.1007/s00265-015-1901-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
44
|
Tamura K, Kobayashi Y, Ihara Y. Evolution of individual versus social learning on social networks. J R Soc Interface 2015; 12:20141285. [PMID: 25631568 DOI: 10.1098/rsif.2014.1285] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
A number of studies have investigated the roles played by individual and social learning in cultural phenomena and the relative advantages of the two learning strategies in variable environments. Because social learning involves the acquisition of behaviours from others, its utility depends on the availability of 'cultural models' exhibiting adaptive behaviours. This indicates that social networks play an essential role in the evolution of learning. However, possible effects of social structure on the evolution of learning have not been fully explored. Here, we develop a mathematical model to explore the evolutionary dynamics of learning strategies on social networks. We first derive the condition under which social learners (SLs) are selectively favoured over individual learners in a broad range of social network. We then obtain an analytical approximation of the long-term average frequency of SLs in homogeneous networks, from which we specify the condition, in terms of three relatedness measures, for social structure to facilitate the long-term evolution of social learning. Finally, we evaluate our approximation by Monte Carlo simulations in complete graphs, regular random graphs and scale-free networks. We formally show that whether social structure favours the evolution of social learning is determined by the relative magnitudes of two effects of social structure: localization in competition, by which competition between learning strategies is evaded, and localization in cultural transmission, which slows down the spread of adaptive traits. In addition, our estimates of the relatedness measures suggest that social structure disfavours the evolution of social learning when selection is weak.
Collapse
Affiliation(s)
- Kohei Tamura
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan Department of Creative Informatics, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan CREST, JST, 4-1-8, Honcho, Kawaguchi, Saitama 332-0012, Japan
| | - Yutaka Kobayashi
- Department of Management, Kochi University of Technology, Tosayamada, Kami-city, Kochi 782-8502, Japan
| | - Yasuo Ihara
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| |
Collapse
|
45
|
Webster M, Laland K. Public information use by foraging ninespine sticklebacks: Social learning or an unlearned social influence on travel direction? BEHAVIOUR 2015. [DOI: 10.1163/1568539x-00003293] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
If we are to understand the cognitive basis and evolutionary origins of a particular behaviour, it is necessary to identify its underlying mechanism. Ninespine sticklebacks (Pungitius pungitius) can identify the richer of two prey patches by observing other foragers’ success. This may be due to social learning, or an unlearned social effect on travel direction, brought about by the fish being more likely to face and subsequently travel towards areas where they have observed more feeding activity. Here we show that observer orientation does not predict patch choice, and that fish are still more likely to spend more time in richer patches even if they have to take an indirect route to reach them. This suggests that sticklebacks can learn the location of the richer patch through observation, and viewed in conjunction with other published findings, suggests that learned local enhancement lies behind public information use in this species.
Collapse
Affiliation(s)
- M.M. Webster
- School of Biology, University of St Andrews, St Andrews, Fife KY16 9TS, UK
| | - K.N. Laland
- School of Biology, University of St Andrews, St Andrews, Fife KY16 9TS, UK
| |
Collapse
|
46
|
Hasenjager MJ, Dugatkin LA. Social Network Analysis in Behavioral Ecology. ADVANCES IN THE STUDY OF BEHAVIOR 2015. [DOI: 10.1016/bs.asb.2015.02.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
|
47
|
Boogert NJ, Nightingale GF, Hoppitt W, Laland KN. Perching but not foraging networks predict the spread of novel foraging skills in starlings. Behav Processes 2014; 109 Pt B:135-44. [PMID: 25178191 DOI: 10.1016/j.beproc.2014.08.016] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2014] [Revised: 08/01/2014] [Accepted: 08/19/2014] [Indexed: 11/16/2022]
Abstract
The directed social learning hypothesis suggests that information does not spread evenly through animal groups, but rather individual characteristics and patterns of physical proximity guide the social transmission of information along specific pathways. Network-based diffusion analysis (NBDA) allows researchers to test whether information spreads following a social network. However, the explanatory power of different social networks has rarely been compared, and current models do not easily accommodate random effects (e.g. allowing for individuals within groups to correlate in their asocial solving rates). We tested whether the spread of two novel foraging skills through captive starling groups was affected by individual- and group-level random and fixed effects (i.e. sex, age, body condition, dominance rank and demonstrator status) and perching or foraging networks. We extended NBDA to include random effects and conducted model discrimination in a Bayesian context. We found that social learning increased the rate at which birds acquired the novel foraging task solutions by 6.67 times, and acquiring one of the two novel foraging task solutions facilitated the asocial acquisition of the other. Surprisingly, the spread of task solutions followed the perching rather than the foraging social network. Upon acquiring a task solution, foraging performance was facilitated by the presence of group mates. Our results highlight the importance of considering more than one social network when predicting the spread of information through animal groups. This article is part of a Special Issue entitled: Cognition in the wild.
Collapse
Affiliation(s)
- Neeltje J Boogert
- School of Psychology and Neuroscience, University of St. Andrews, St Andrews, UK.
| | | | - William Hoppitt
- Department of Life Sciences, Anglia Ruskin University, Cambridge, UK
| | - Kevin N Laland
- School of Biology, University of St. Andrews, St Andrews, UK
| |
Collapse
|
48
|
Lattanzio MS, Miles DB. Ecological divergence among colour morphs mediated by changes in spatial network structure associated with disturbance. J Anim Ecol 2014; 83:1490-500. [DOI: 10.1111/1365-2656.12252] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2013] [Accepted: 05/20/2014] [Indexed: 11/27/2022]
Affiliation(s)
- Matthew S. Lattanzio
- Department of Biological Sciences; Ohio University; 107 Irvine Hall Athens OH 45701 USA
| | - Donald B. Miles
- Department of Biological Sciences; Ohio University; 107 Irvine Hall Athens OH 45701 USA
| |
Collapse
|
49
|
Tóth Z, Baldan D, Hoi H, Griggio M. Food reduction has a limited effect on following relations in house sparrow flocks. Anim Behav 2014. [DOI: 10.1016/j.anbehav.2014.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
50
|
Webster M, Laland K. Local enhancement via eavesdropping on courtship displays in male guppies, Poecilia reticulata. Anim Behav 2013. [DOI: 10.1016/j.anbehav.2013.04.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|