Integrating network analysis, sensor tags, and observation to understand shark ecology and behavior

Wilson, Alexander D.M., Brownscombe, Jacob W., Krause, Jens, Krause, Stefan, Gutowsky, Lee F.G., Brooks, Edward J. and Cooke, Steven J. 2015, Integrating network analysis, sensor tags, and observation to understand shark ecology and behavior, Behavioral ecology, vol. 26, no. 6, pp. 1577-1586, doi: 10.1093/beheco/arv115.

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Title Integrating network analysis, sensor tags, and observation to understand shark ecology and behavior
Author(s) Wilson, Alexander D.M.
Brownscombe, Jacob W.
Krause, Jens
Krause, Stefan
Gutowsky, Lee F.G.
Brooks, Edward J.
Cooke, Steven J.
Journal name Behavioral ecology
Volume number 26
Issue number 6
Start page 1577
End page 1586
Total pages 10
Publisher Oxford University Press
Place of publication Oxford, Eng.
Publication date 2015-11
ISSN 1045-2249
Keyword(s) accelerometry
intermittent locomotion
Markov chains
network position
Summary Group living in animals is a well-studied phenomenon, having been documented extensively in a wide range of terrestrial, freshwater, and marine species. Although social dynamics are complex across space and time, recent technological and analytical advances enable deeper understanding of their nature and ecological implications. While for some taxa, a great deal of information is known regarding the mechanistic underpinnings of these social processes, knowledge of these mechanisms in elasmobranchs is lacking. Here, we used an integrative and novel combination of direct observation, accelerometer biologgers, and recent advances in network analysis to better understand the mechanistic bases of individual-level differences in sociality (leadership, network attributes) and diel patterns of locomotor activity in a widespread marine predator, the lemon shark (Negaprion brevirostris). We found that dynamic models of interaction based on Markov chains can accurately predict juvenile lemon shark social behavior and that lemon sharks did not occupy consistent positions within their network. Lemon sharks did however preferentially associate with specific group members, by sex as well as by similarity or nonsimilarity for a number of behavioral (nonsimilarity: leadership) and locomotor traits (similarity: proportion of time swimming "fast," mean swim duration; nonsimilarity: proportion of swimming bursts/transitions between activity states). Our study provides some of the first information on the mechanistic bases of group living and personality in sharks and further, a potential experimental approach for studying fine-scale differences in behavior and locomotor patterns in difficult-to-study organisms.
Language eng
DOI 10.1093/beheco/arv115
Field of Research 070402 Aquatic Ecosystem Studies and Stock Assessment
0602 Ecology
0603 Evolutionary Biology
0608 Zoology
Socio Economic Objective 970106 Expanding Knowledge in the Biological Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, The Authors
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