Macquarie University (Balaclava Road, North Ryde , NSW, 2109, Australia - Australie)
Abstract : Individuals can play different roles in maintaining connectivity and social
cohesion in animal populations and thereby influence population robustness
to perturbations.We performed a social network analysis in a reef shark population
to assess the vulnerability of the global network to node removal under
different scenarios. We found that the network was generally robust to the
removal of nodes with high centrality. The network appeared also highly
robust to experimental fishing. Individual shark catchability decreased as a
function of experience, as revealed by comparing capture frequency and site
presence. Altogether, these features suggest that individuals learnt to avoid
capture, which ultimately increased network robustness to experimental
catch-and-release. Our results also suggest that some caution must be taken
when using capture–recapture models often used to assess population size
as assumptions (such as equal probabilities of capture and recapture) may
be violated by individual learning to escape recapture.
https://hal-univ-perp.archives-ouvertes.fr/hal-01561754
Contributeur : Dorian Miler
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Soumis le : jeudi 13 juillet 2017 - 11:50:00
Dernière modification le : mardi 15 mai 2018 - 11:34:02
Johann Mourier, Culum Brown, Serge Planes. Learning and robustness to catch-andrelease
fishing in a shark social network. Biology Letters, Royal Society, The, 2017, 〈10.1098/rsbl.2016.0824〉. 〈hal-01561754〉
