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Measuring site fidelity and spatial segregation within animal societies

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Measuring site fidelity and spatial segregation within animal societies. / Richardson, Thomas O; Giuggioli, Luca; Franks, Nigel R.; Sendova-Franks, Ana B.

In: Methods in Ecology and Evolution, Vol. 8, No. 8, 08.2017, p. 965-975.

Research output: Contribution to journalArticle

Harvard

Richardson, TO, Giuggioli, L, Franks, NR & Sendova-Franks, AB 2017, 'Measuring site fidelity and spatial segregation within animal societies', Methods in Ecology and Evolution, vol. 8, no. 8, pp. 965-975. https://doi.org/10.1111/2041-210X.12751

APA

Richardson, T. O., Giuggioli, L., Franks, N. R., & Sendova-Franks, A. B. (2017). Measuring site fidelity and spatial segregation within animal societies. Methods in Ecology and Evolution, 8(8), 965-975. https://doi.org/10.1111/2041-210X.12751

Vancouver

Richardson TO, Giuggioli L, Franks NR, Sendova-Franks AB. Measuring site fidelity and spatial segregation within animal societies. Methods in Ecology and Evolution. 2017 Aug;8(8):965-975. https://doi.org/10.1111/2041-210X.12751

Author

Richardson, Thomas O ; Giuggioli, Luca ; Franks, Nigel R. ; Sendova-Franks, Ana B. / Measuring site fidelity and spatial segregation within animal societies. In: Methods in Ecology and Evolution. 2017 ; Vol. 8, No. 8. pp. 965-975.

Bibtex

@article{3fb8f21dcfbd4d81955d1d2df57b3cd2,
title = "Measuring site fidelity and spatial segregation within animal societies",
abstract = "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. 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. 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. 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. 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 possible mechanism for generating individual site fidelity.",
keywords = "Temnothorax albipennis, Animal movement, Ant, Non-Markov, Random walk, Social insect, Social network",
author = "Richardson, {Thomas O} and Luca Giuggioli and Franks, {Nigel R.} and Sendova-Franks, {Ana B.}",
year = "2017",
month = "8",
doi = "10.1111/2041-210X.12751",
language = "English",
volume = "8",
pages = "965--975",
journal = "Methods in Ecology and Evolution",
issn = "2041-210X",
publisher = "Wiley",
number = "8",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Measuring site fidelity and spatial segregation within animal societies

AU - Richardson, Thomas O

AU - Giuggioli, Luca

AU - Franks, Nigel R.

AU - Sendova-Franks, Ana B.

PY - 2017/8

Y1 - 2017/8

N2 - 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. 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. 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. 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. 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 possible mechanism for generating individual site fidelity.

AB - 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. 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. 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. 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. 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 possible mechanism for generating individual site fidelity.

KW - Temnothorax albipennis

KW - Animal movement

KW - Ant

KW - Non-Markov

KW - Random walk

KW - Social insect

KW - Social network

U2 - 10.1111/2041-210X.12751

DO - 10.1111/2041-210X.12751

M3 - Article

C2 - 28943999

AN - SCOPUS:85017113570

VL - 8

SP - 965

EP - 975

JO - Methods in Ecology and Evolution

JF - Methods in Ecology and Evolution

SN - 2041-210X

IS - 8

ER -