Measuring site fidelity and spatial segregation within animal societies

Détails

ID Serval
serval:BIB_211DFB5BE3C9
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Measuring site fidelity and spatial segregation within animal societies
Périodique
Methods in Ecology and Evolution
Auteur(s)
Richardson T.O., Giuggioli L., Franks N.R., Sendova-Franks A.B.
ISSN
2041-2096
ISSN-L
2041-210X
Statut éditorial
Publié
Date de publication
08/2017
Peer-reviewed
Oui
Volume
8
Numéro
8
Pages
965-975
Langue
anglais
Résumé
1. Animals often display a marked tendency to return to previously visited locations that contain important resources, such as water, food, or developing brood that must be provisioned. A considerable body of work has demonstrated that this tendency is strongly expressed in ants, which exhibit fidelity to particular sites both inside and outside the nest. However, thus far many studies of this phenomena have taken the approach of reducing an animal's trajectory to a summary statistic, such as the area it covers. 2. Using both simulations of biased random walks, and empirical trajectories from individual rock ants, Temnothorax albipennis, we demonstrate that this reductive approach suffers from an unacceptably high rate of false negatives.
3. To overcome this, we describe a site-centric approach which, in combination with a spatially-explicit null model, allows the identification of the important sites towards which individuals exhibit statistically significant biases.
4. Using the ant trajectories, we illustrate how the site-centric approach can be combined with social network analysis tools to detect groups of individuals whose members display similar space-use patterns.
5. We also address the mechanistic origin of individual site fidelity; by examining the sequence of visits to each site, we detect a statistical signature associated with a self-attracting walk - a non-Markovian movement model that has been suggested as a possiblemechanism for generating individual site fidelity.
Mots-clé
animal movement, ant, non-Markov, random walk, social network, social insect, Temnothorax albipennis
Web of science
Open Access
Oui
Création de la notice
22/02/2017 13:26
Dernière modification de la notice
20/08/2019 12:57
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