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Social networks in changing environments

Wilson, A. D. M., Krause, S., Ramnarine, I. W., Borner, K. K., Clément, R. J. G., Kurvers, R. H. J. M. and Krause, J. 2015, Social networks in changing environments, Behavioral ecology and sociobiology, vol. 69, no. 10, pp. 1617-1629, doi: 10.1007/s00265-015-1973-2.

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Title Social networks in changing environments
Author(s) Wilson, A. D. M.
Krause, S.
Ramnarine, I. W.
Borner, K. K.
Clément, R. J. G.
Kurvers, R. H. J. M.
Krause, J.
Journal name Behavioral ecology and sociobiology
Volume number 69
Issue number 10
Start page 1617
End page 1629
Total pages 13
Publisher Springer
Place of publication Berlin, Germany
Publication date 2015-07-26
ISSN 0340-5443
Keyword(s) Environmental change
Habitat manipulation
Network analysis
Population translocation
Social dynamics
Science & Technology
Life Sciences & Biomedicine
Behavioral Sciences
Ecology
Zoology
Environmental Sciences & Ecology
TEMPORAL DYNAMICS
POPULATION
PATTERNS
GUPPIES
SEXES
Summary Social network analysis (SNA) has become a widespread tool for the study of animal social organisation. However despite this broad applicability, SNA is currently limited by both an overly strong focus on pattern analysis as well as a lack of dynamic interaction models. Here, we use a dynamic modelling approach that can capture the responses of social networks to changing environments. Using the guppy, Poecilia reticulata, we identified the general properties of the social dynamics underlying fish social networks and found that they are highly robust to differences in population density and habitat changes. Movement simulations showed that this robustness could buffer changes in transmission processes over a surprisingly large density range. These simulation results suggest that the ability of social systems to self-stabilise could have important implications for the spread of infectious diseases and information. In contrast to habitat manipulations, social manipulations (e.g. change of sex ratios) produced strong, but short-lived, changes in network dynamics. Lastly, we discuss how the evolution of the observed social dynamics might be linked to predator attack strategies. We argue that guppy social networks are an emergent property of social dynamics resulting from predator–prey co-evolution. Our study highlights the need to develop dynamic models of social networks in connection with an evolutionary framework.
Language eng
DOI 10.1007/s00265-015-1973-2
Field of Research 070402 Aquatic Ecosystem Studies and Stock Assessment
060801 Animal Behaviour
060201 Behavioural Ecology
Socio Economic Objective 970106 Expanding Knowledge in the Biological Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2015, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30077717

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