Using home range estimates to construct social networks for species with indirect behavioral interactions

Formica, Vincent A.; Augat, Malcolm E.; Barnard, Mollie; Butterfield, R. Eileen; Wood, Corlett W.; Brodie, Edmund D.

doi:10.1007/s00265-010-0957-5

Cited by 22 publications

(24 citation statements)

References 46 publications

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“…This rule ensured that group membership was always reciprocal if both males had definable home ranges; that is, if male 1 was in male 2's social group, male 2 was also in male 1's social group. If a male did not have a definable home range (Formica et al 2010), he was not considered as a focal male but could still be considered part of another focal male's social group.…”

Section: Methodsmentioning

confidence: 99%

Phenotypic Assortment Mediates the Effect of Social Selection in a Wild Beetle Population

Formica¹,

McGlothlin²,

Wood³

et al. 2011

Evolution

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155

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Social interactions often have major fitness consequences, but little is known about how specific interacting phenotypes affect the strength of natural selection. Social influences on the evolutionary process can be assessed using a multilevel selection approach that partitions the effects of social partner phenotypes on fitness (referred to as social or group selection) from those of the traits of a focal individual (nonsocial or individual selection). To quantify the contribution of social selection to total selection affecting a trait, the patterns of phenotypic association among interactants must also be considered. We estimated selection gradients on male body size in a wild population of forked fungus beetles (Bolitotherus cornutus). We detected positive nonsocial selection and negative social selection on body size operating through differences in copulation success, indicating that large males with small social partners had highest fitness. In addition, we found that, in low-density demes, the phenotypes of focal individuals were negatively correlated with those of their social partners. This pattern reversed the negative effect of group selection on body size and led to stronger positive selection for body size. Our results demonstrate multilevel selection in nature and stress the importance of considering social selection whenever conspecific interactions occur nonrandomly. K E Y W O R D S :Bolitotherus cornutus, contextual analysis, interacting phenotypes, multilevel selection, sexual selection, social evolution.

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Section: Methodsmentioning

confidence: 99%

Phenotypic Assortment Mediates the Effect of Social Selection in a Wild Beetle Population

Formica¹,

McGlothlin²,

Wood³

et al. 2011

Evolution

Self Cite

155

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show abstract

“…SNA can allow researchers to characterize these dynamics at the population level. Relationships between groups can be measured not only by using direct interactions, such as dispersal of individuals or group encounters [Drewe et al, 2009], but also by using indirect interactions [Formica et al, 2010]. Indirect interaction can be important where disease or information can be transmitted among groups or individuals even if they do not share the same space at the same time.…”

Section: Can Network Properties Influence Individual Fitness?mentioning

confidence: 99%

How can social network analysis improve the study of primate behavior?

Sueur

Jacobs

Amblard

et al. 2010

American J Primatol

207

186

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When living in a group, individuals have to make trade-offs, and compromise, in order to balance the advantages and disadvantages of group life. Strategies that enable individuals to achieve this typically affect inter-individual interactions resulting in nonrandom associations. Studying the patterns of this assortativity using social network analyses can allow us to explore how individual behavior influences what happens at the group, or population level. Understanding the consequences of these interactions at multiple scales may allow us to better understand the fitness implications for individuals. Social network analyses offer the tools to achieve this. This special issue aims to highlight the benefits of social network analysis for the study of primate behaviour, assessing it's suitability for analyzing individual social characteristics as well as group/population patterns. In this introduction to the special issue, we first introduce social network theory, then demonstrate with examples how social networks can influence individual and collective behaviors, and finally conclude with some outstanding questions for future primatological research.

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“…2009), or from overlap of home ranges. In the latter case, it has been assumed that the likelihood of individuals interacting, and of parasites being transmitted, is increased where individuals substantially overlap in home range (Formica et al. 2010; Godfrey et al.…”

Section: Introductionmentioning

confidence: 99%

Using social networks to deduce whether residents or dispersers spread parasites in a lizard population

Fenner

Godfrey

Bull

2011

Journal of Animal Ecology

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1. Heterogeneity of host behaviour can play an important role in the spread of parasites and pathogens around wildlife populations. Social networks have previously been suggested to represent transmission pathways within a population, but where the dynamics of host-parasite interactions are difficult to observe, networks may also be used to provide insights into transmission processes. 2. Pygmy bluetongue lizards, Tiliqua adelaidensis, occupy individual territories, live exclusively in burrows constructed by spiders in Australian native grasslands and are hosts to a tick, Bothriocroton hydrosauri, and a nematode, Pharyngodon wandillahensis. 3. On five monthly occasions, the locations of all individual lizards in three study plots were used to construct weighted, undirected networks based on proximity of adjacent burrows. 4. The networks were used to explore alternative hypotheses about the spread of each parasite through the population: that stable population members that remained in the same burrow over the study period played a major role in influencing the pattern of infection or that dispersing individuals played a more significant role. 5. For ticks, host individuals that were infected were more connected in the network than uninfected hosts and this relationship remained significant for connections to residents in the population, but not for connections to dispersers. 6. For nematodes, infected and uninfected hosts did not differ in their overall strength of connection in the network, but infected hosts were more connected to dispersers than were uninfected hosts, suggesting that lizards moving across the population are the major agents for the transmission of nematodes. 7. This study shows how network analyses can provide new insights into alternative pathways of parasite spread in wildlife populations, where it is difficult to make direct observations of transmission-related behaviours.

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Using home range estimates to construct social networks for species with indirect behavioral interactions

Cited by 22 publications

References 46 publications

Phenotypic Assortment Mediates the Effect of Social Selection in a Wild Beetle Population

Phenotypic Assortment Mediates the Effect of Social Selection in a Wild Beetle Population

How can social network analysis improve the study of primate behavior?

Using social networks to deduce whether residents or dispersers spread parasites in a lizard population

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