African Forest Elephant Social Networks: Fission−Fusion Dynamics, but Fewer Associations
Vol. 25: 165–173, 2014 ENDANGERED SPECIES RESEARCH Published online September 19 doi: 10.3354/esr00618 Endang Species Res 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 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 mitochon- drial 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 coeffi- cients. Within components, average relatedness was 0.093 ± 0.071 (SD) and females appeared to share mitochondrial haplotypes.
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