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

Overview of attention for article published in PLOS ONE, May 2012
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Title
Kinship Shapes Affiliative Social Networks but Not Aggression in Ring-Tailed Coatis
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0037301
Pubmed ID
Authors

Ben T. Hirsch, Margaret A. Stanton, Jesus E. Maldonado

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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Mendeley readers

The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 3 1%
Brazil 3 1%
Colombia 1 <1%
United Arab Emirates 1 <1%
Ireland 1 <1%
Israel 1 <1%
Portugal 1 <1%
Turkey 1 <1%
Other 3 1%
Unknown 205 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 19%
Researcher 39 17%
Student > Master 33 15%
Student > Bachelor 26 12%
Student > Doctoral Student 15 7%
Other 35 16%
Unknown 33 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 130 58%
Environmental Science 25 11%
Psychology 8 4%
Social Sciences 6 3%
Earth and Planetary Sciences 4 2%
Other 14 6%
Unknown 36 16%