Abstract

ESR Endangered Species Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials ESR 25:165-173 (2014) - DOI: https://doi.org/10.3354/esr00618 African forest elephant social networks: fission-fusion dynamics, but fewer associations Stephanie G. Schuttler1,*, Alden Whittaker2, Kathryn J. Jeffery3,4,5, Lori S. Eggert1 1Division of Biological Sciences, 226 Tucker Hall, University of Missouri, Columbia, MO 65211, USA 2Zakouma National Park, African Parks Network, PO Box 510, N’Djaména, Republic of Chad 3Agence Nationale des Parcs Nationaux, BP20379, Libreville, Gabon 4School of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK 5Institut de Recherche en Ecologie Tropicale, BP13354, Libreville, Gabon *Corresponding author: stephanie.schuttler@gmail.com ABSTRACT: For animal species with dynamic interactions, understanding social patterns can be difficult. Social network analysis quantifies associations and their intensity between individuals within a population, revealing the overall patterns of the society. We used networks to test the hypothesis that the elusive African forest elephant Loxodonta cyclotis exhibits fission-fusion social dynamics, similar to other elephant species. We observed associations between individuals in savanna clearings in Lopé National Park, Gabon, in 2006, 2008, and 2010. When possible, dung was collected from individuals for genetic analyses using 10 microsatellite loci and the mitochondrial DNA control region. Using simple ratio association indices, networks were created for each year, wet and dry seasons, individuals detected at least twice, and for all females. We identified 118 unique adult females, for 40 of which we obtained genetic information. Networks had low densities, many disconnected components, short average path lengths, and high clustering coefficients. Within components, average relatedness was 0.093 ± 0.071 (SD) and females appeared to share mitochondrial haplotypes. We detected 1 large component consisting of 22 adult females, but there were few preferred associations (8 of 65, 12.3%). No seasonal or yearly differences were observed. Our results substantiate fission-fusion dynamics in forest elephants; however, the networks are more disconnected than those for other elephant species, possibly due to poaching and ecological constraints in the forest environment. KEY WORDS: Social networks · Social structure · Loxodonta cyclotis · Fission-fusion · Elephants Full text in pdf format Supplementary material PreviousNextCite this article as: Schuttler SG, Whittaker A, Jeffery KJ, Eggert LS (2014) African forest elephant social networks: fission-fusion dynamics, but fewer associations. Endang Species Res 25:165-173. https://doi.org/10.3354/esr00618 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in ESR Vol. 25, No. 2. Online publication date: September 19, 2014 Print ISSN: 1863-5407; Online ISSN: 1613-4796 Copyright © 2014 Inter-Research.

Highlights

  • Individuals within a population rarely interact randomly

  • This distance is a compromise between 50 m (Morgan & Lee 2007), which was too small for LN P, and those used in savanna elephant studies (500 m from center of aggregation; Wittemyer et al 2005, Archie et al 2006)

  • Our study presents the first inference of African forest elephant social networks from observational data

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Summary

Introduction

Individuals within a population rarely interact randomly. Ecological pressures such as competition influence individuals to develop strategies to maximize their fitness. Social structure affects how individuals exploit habitats (Hoelzel 1993), transfer knowledge (Weimerskirch et al 2010), transmit diseases (Hamede et al 2009), and search for mates (Ortega et al 2003, Rossiter et al 2012), and, has evolutionary consequences and implications for conservation. Chimpanzees (Pan troglodytes; Lehmann & Boesch 2004), bats (Kerth & Konig 1999, Willis & Brigham 2005), African buffalo (Synerus caffer; Prins 1989), dolphins (Parra et al 2011), and African savanna elephants (Loxodonta africana; Archie et al 2006) have fission−fusion social systems, where group composition and structure can change monthly, daily, or hourly in response to resources or group dynamics. Social network analysis is an effective tool for studying and comparing social systems, as metrics

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