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From the same journal

Social preferences and network structure in a population of reef manta rays

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Published copy (DOI)

Author(s)

  • Robert J.Y. Perryman
  • Stephanie K. Venables
  • Ricardo F. Tapilatu
  • Andrea D. Marshall
  • Culum Brown
  • Daniel Wayne Franks

Department/unit(s)

Publication details

JournalBehavioral Ecology and Sociobiology
DateAccepted/In press - 28 Jun 2019
DateE-pub ahead of print - 22 Aug 2019
DatePublished (current) - 22 Aug 2019
Issue number8
Volume73
Number of pages18
Pages (from-to)1-18
Early online date22/08/19
Original languageEnglish

Abstract

Understanding how individual behavior shapes the structure and ecology ofpopulations is key to species conservation and management. Like manyelasmobranchs, manta rays are highly mobile and wide ranging species threatened byanthropogenic impacts. In shallow-water environments these pelagic rays often formgroups, and perform several apparently socially-mediated behaviors. Group structuresmay result from active choices of individual rays to interact, or passive processes.Social behavior is known to affect spatial ecology in other elasmobranchs, but this isthe first study providing quantitative evidence for structured social relationships inmanta rays. To construct social networks, we collected data from more than 500groups of reef manta rays over five years, in the Raja Ampat Regency of West Papua.We used generalized affiliation indices to isolate social preferences from non-socialassociations, the first study on elasmobranchs to use this method. Longer lastingsocial preferences were detected mostly between female rays. We detectedassortment of social relations by phenotype and variation in social strategies, with theoverall social network divided into two main communities. Overall network structurewas characteristic of a dynamic fission-fusion society, with differentiated relationshipslinked to strong fidelity to cleaning station sites. Our results suggest that fine-scaleconservation measures will be useful in protecting social groups of M. alfredi in theirnatural habitats, and that a more complete understanding of the social nature of mantarays will help predict population responses

Bibliographical note

© Springer-Verlag GmbH Germany, part of Springer Nature 2019. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

    Research areas

  • Generalized affiliation indices, Mobula alfredi, Reef manta ray, Social network analysis, Social preferences

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