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      Kinship Shapes Affiliative Social Networks but Not Aggression in Ring-Tailed Coatis

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          Abstract

          Animal groups typically contain individuals with varying degrees of genetic relatedness, and this variation in kinship has a major influence on patterns of aggression and affiliative behaviors. This link between kinship and social behavior underlies socioecological models which have been developed to explain how and why different types of animal societies evolve. We tested if kinship and age-sex class homophily in two groups of ring-tailed coatis ( Nasua nasua) predicted the network structure of three different social behaviors: 1) association, 2) grooming, and 3) aggression. Each group was studied during two consecutive years, resulting in four group-years available for analysis (total of 65 individuals). Association patterns were heavily influenced by agonistic interactions which typically occurred during feeding competition. Grooming networks were shaped by mother-offspring bonds, female-female social relationships, and a strong social attraction to adult males. Mother-offspring pairs were more likely to associate and groom each other, but relatedness had no effect on patterns of aggressive behavior. Additionally, kinship had little to no effect on coalitionary support during agonistic interactions. Adult females commonly came to the aid of juveniles during fights with other group members, but females often supported juveniles who were not their offspring (57% of coalitionary interactions). These patterns did not conform to predictions from socioecological models.

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          R: A language and environment for statistical computing

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            SOCPROG programs: analysing animal social structures

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              Sensitivity of MRQAP Tests to Collinearity and Autocorrelation Conditions

              Multiple regression quadratic assignment procedures (MRQAP) tests are permutation tests for multiple linear regression model coefficients for data organized in square matrices of relatedness among n objects. Such a data structure is typical in social network studies, where variables indicate some type of relation between a given set of actors. We present a new permutation method (called “double semi-partialing”, or DSP) that complements the family of extant approaches to MRQAP tests. We assess the statistical bias (type I error rate) and statistical power of the set of five methods, including DSP, across a variety of conditions of network autocorrelation, of spuriousness (size of confounder effect), and of skewness in the data. These conditions are explored across three assumed data distributions: normal, gamma, and negative binomial. We find that the Freedman–Lane method and the DSP method are the most robust against a wide array of these conditions. We also find that all five methods perform better if the test statistic is pivotal. Finally, we find limitations of usefulness for MRQAP tests: All tests degrade under simultaneous conditions of extreme skewness and high spuriousness for gamma and negative binomial distributions.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                18 May 2012
                : 7
                : 5
                : e37301
                Affiliations
                [1 ]School of Environment and Natural Resources, Ohio State University, Columbus, Ohio, United States of America
                [2 ]Smithsonian Tropical Research Institute, Panama City, Panama
                [3 ]Center for Conservation and Evolutionary Genetics, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, D.C., United States of America
                [4 ]Department of Biology, Georgetown University, Washington, D.C., United States of America
                [5 ]Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, D.C., United States of America
                University of Manitoba, Canada
                Author notes

                Conceived and designed the experiments: BTH. Performed the experiments: BTH. Analyzed the data: BTH MAS JEM. Contributed reagents/materials/analysis tools: BTH MAS JEM. Wrote the paper: BTH MAS JEM.

                Article
                PONE-D-11-23136
                10.1371/journal.pone.0037301
                3356279
                22624010
                22d056dd-d060-42cd-987d-56a346920535
                Hirsch et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 18 November 2011
                : 19 April 2012
                Page count
                Pages: 9
                Categories
                Research Article
                Biology
                Ecology
                Behavioral Ecology
                Evolutionary Ecology
                Evolutionary Biology
                Animal Behavior
                Behavioral Ecology
                Population Biology
                Population Dynamics
                Zoology
                Animal Behavior
                Mammalogy
                Veterinary Science
                Animal Types
                Wildlife

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                Uncategorized

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