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<datestamp>2018-01-11</datestamp>
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<title lang=en>Learning and robustness to catch-andreleasefishing in a shark social network</title>
<creator>Mourier, Johann</creator>
<creator> Brown, Culum</creator>
<creator>Planes, Serge</creator>
<contributor>Laboratoire d'Excellence CORAIL (LabEX CORAIL) ; Institut de Recherche pour le Développement (IRD) - Université des Antilles et de la Guyane (UAG) - École des hautes études en sciences sociales (EHESS) - École pratique des hautes études (EPHE) - Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) - Université de la Réunion (UR) - Université de la Polynésie Française (UPF) - Université de Nouvelle Calédonie - Institut d'écologie et environnement</contributor>
<contributor>Centre de recherches insulaires et observatoire de l'environnement (CRIOBE) ; Université de Perpignan Via Domitia (UPVD) - École pratique des hautes études (EPHE) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Department of Biological Sciences [North Ryde] ; Macquarie University</contributor>
<description>International audience</description>
<source>EISSN: 1471-2954</source>
<source>Biology Letters</source>
<publisher>Royal Society, The</publisher>
<identifier>hal-01561754</identifier>
<identifier>https://hal-univ-perp.archives-ouvertes.fr/hal-01561754</identifier>
<source>https://hal-univ-perp.archives-ouvertes.fr/hal-01561754</source>
<source>Biology Letters, Royal Society, The, 2017, 〈10.1098/rsbl.2016.0824〉</source>
<identifier>DOI : 10.1098/rsbl.2016.0824</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1098/rsbl.2016.0824</relation>
<language>en</language>
<subject lang=en>social network topology</subject>
<subject lang=en> resilience</subject>
<subject lang=en> blacktip reef shark</subject>
<subject lang=en> coral reefs</subject>
<subject>[SDV] Life Sciences [q-bio]</subject>
<subject>[SDV.BA.ZV] Life Sciences [q-bio]/Animal biology/Vertebrate Zoology</subject>
<subject>[SDV.EE] Life Sciences [q-bio]/Ecology, environment</subject>
<subject>[SDV.EE.IEO] Life Sciences [q-bio]/Ecology, environment/Symbiosis</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Individuals can play different roles in maintaining connectivity and socialcohesion in animal populations and thereby influence population robustnessto perturbations.We performed a social network analysis in a reef shark populationto assess the vulnerability of the global network to node removal underdifferent scenarios. We found that the network was generally robust to theremoval of nodes with high centrality. The network appeared also highlyrobust to experimental fishing. Individual shark catchability decreased as afunction of experience, as revealed by comparing capture frequency and sitepresence. Altogether, these features suggest that individuals learnt to avoidcapture, which ultimately increased network robustness to experimentalcatch-and-release. Our results also suggest that some caution must be takenwhen using capture–recapture models often used to assess population sizeas assumptions (such as equal probabilities of capture and recapture) maybe violated by individual learning to escape recapture.</description>
<date>2017</date>
</dc>
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