Does detection range matter for inferring social networks in a benthic shark using acoustic telemetry?
Identifieur interne : 000457 ( PubMed/Curation ); précédent : 000456; suivant : 000458Does detection range matter for inferring social networks in a benthic shark using acoustic telemetry?
Auteurs : Johann Mourier [Australie] ; Nathan Charles Bass [Australie] ; Tristan L. Guttridge [Bahamas] ; Joanna Day [Australie] ; Culum Brown [Australie]Source :
- Royal Society open science [ 2054-5703 ] ; 2017.
Abstract
Accurately estimating contacts between animals can be critical in ecological studies such as examining social structure, predator-prey interactions or transmission of information and disease. While biotelemetry has been used successfully for such studies in terrestrial systems, it is still under development in the aquatic environment. Acoustic telemetry represents an attractive tool to investigate spatio-temporal behaviour of marine fish and has recently been suggested for monitoring underwater animal interactions. To evaluate the effectiveness of acoustic telemetry in recording interindividual contacts, we compared co-occurrence matrices deduced from three types of acoustic receivers varying in detection range in a benthic shark species. Our results demonstrate that (i) associations produced by acoustic receivers with a large detection range (i.e. Vemco VR2W) were significantly different from those produced by receivers with smaller ranges (i.e. Sonotronics miniSUR receivers and proximity loggers) and (ii) the position of individuals within their network, or centrality, also differed. These findings suggest that acoustic receivers with a large detection range may not be the best option to represent true social networks in the case of a benthic marine animal. While acoustic receivers are increasingly used by marine ecologists, we recommend users first evaluate the influence of detection range to depict accurate individual interactions before using these receivers for social or predator-prey studies. We also advocate for combining multiple receiver types depending on the ecological question being asked and the development of multi-sensor tags or testing of new automated proximity loggers, such as the Encounternet system, to improve the precision and accuracy of social and predator-prey interaction studies.
DOI: 10.1098/rsos.170485
PubMed: 28989756
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Guttridge</name><affiliation wicri:level="1"><nlm:affiliation>Bimini Biological Field Station Foundation, 15 Elizabeth Drive, South Bimini, Bahamas.</nlm:affiliation><country xml:lang="fr">Bahamas</country><wicri:regionArea>Bimini Biological Field Station Foundation, 15 Elizabeth Drive, South Bimini</wicri:regionArea></affiliation></author><author><name sortKey="Day, Joanna" sort="Day, Joanna" uniqKey="Day J" first="Joanna" last="Day">Joanna Day</name><affiliation wicri:level="1"><nlm:affiliation>Taronga Conservation Society Australia, Mosman, New South Wales 2088, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Taronga Conservation Society Australia, Mosman, New South Wales 2088</wicri:regionArea></affiliation></author><author><name sortKey="Brown, Culum" sort="Brown, Culum" uniqKey="Brown C" first="Culum" last="Brown">Culum Brown</name><affiliation wicri:level="1"><nlm:affiliation>Department of Biological Sciences, Macquarie University, North Ryde, New South Wales 2109, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Department of Biological Sciences, Macquarie University, North Ryde, New South Wales 2109</wicri:regionArea></affiliation></author></analytic><series><title level="j">Royal Society open science</title><idno type="ISSN">2054-5703</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Accurately estimating contacts between animals can be critical in ecological studies such as examining social structure, predator-prey interactions or transmission of information and disease. While biotelemetry has been used successfully for such studies in terrestrial systems, it is still under development in the aquatic environment. Acoustic telemetry represents an attractive tool to investigate spatio-temporal behaviour of marine fish and has recently been suggested for monitoring underwater animal interactions. To evaluate the effectiveness of acoustic telemetry in recording interindividual contacts, we compared co-occurrence matrices deduced from three types of acoustic receivers varying in detection range in a benthic shark species. Our results demonstrate that (i) associations produced by acoustic receivers with a large detection range (i.e. Vemco VR2W) were significantly different from those produced by receivers with smaller ranges (i.e. Sonotronics miniSUR receivers and proximity loggers) and (ii) the position of individuals within their network, or centrality, also differed. These findings suggest that acoustic receivers with a large detection range may not be the best option to represent true social networks in the case of a benthic marine animal. While acoustic receivers are increasingly used by marine ecologists, we recommend users first evaluate the influence of detection range to depict accurate individual interactions before using these receivers for social or predator-prey studies. We also advocate for combining multiple receiver types depending on the ecological question being asked and the development of multi-sensor tags or testing of new automated proximity loggers, such as the Encounternet system, to improve the precision and accuracy of social and predator-prey interaction studies.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">28989756</PMID><DateCreated><Year>2017</Year><Month>10</Month><Day>09</Day></DateCreated><DateRevised><Year>2017</Year><Month>10</Month><Day>13</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">2054-5703</ISSN><JournalIssue CitedMedium="Print"><Volume>4</Volume><Issue>9</Issue><PubDate><Year>2017</Year><Month>Sep</Month></PubDate></JournalIssue><Title>Royal Society open science</Title><ISOAbbreviation>R Soc Open Sci</ISOAbbreviation></Journal><ArticleTitle>Does detection range matter for inferring social networks in a benthic shark using acoustic telemetry?</ArticleTitle><Pagination><MedlinePgn>170485</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1098/rsos.170485</ELocationID><Abstract><AbstractText>Accurately estimating contacts between animals can be critical in ecological studies such as examining social structure, predator-prey interactions or transmission of information and disease. While biotelemetry has been used successfully for such studies in terrestrial systems, it is still under development in the aquatic environment. Acoustic telemetry represents an attractive tool to investigate spatio-temporal behaviour of marine fish and has recently been suggested for monitoring underwater animal interactions. To evaluate the effectiveness of acoustic telemetry in recording interindividual contacts, we compared co-occurrence matrices deduced from three types of acoustic receivers varying in detection range in a benthic shark species. Our results demonstrate that (i) associations produced by acoustic receivers with a large detection range (i.e. Vemco VR2W) were significantly different from those produced by receivers with smaller ranges (i.e. Sonotronics miniSUR receivers and proximity loggers) and (ii) the position of individuals within their network, or centrality, also differed. These findings suggest that acoustic receivers with a large detection range may not be the best option to represent true social networks in the case of a benthic marine animal. While acoustic receivers are increasingly used by marine ecologists, we recommend users first evaluate the influence of detection range to depict accurate individual interactions before using these receivers for social or predator-prey studies. We also advocate for combining multiple receiver types depending on the ecological question being asked and the development of multi-sensor tags or testing of new automated proximity loggers, such as the Encounternet system, to improve the precision and accuracy of social and predator-prey interaction studies.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Mourier</LastName><ForeName>Johann</ForeName><Initials>J</Initials><Identifier Source="ORCID">0000-0001-9019-1717</Identifier><AffiliationInfo><Affiliation>Department of Biological Sciences, Macquarie University, North Ryde, New South Wales 2109, Australia.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Laboratoire d'excellence 'CORAIL', PSL Research University, EPHE-UPVD-CNRS, USR 3278 CRIOBE, 66860 Perpignan, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bass</LastName><ForeName>Nathan Charles</ForeName><Initials>NC</Initials><AffiliationInfo><Affiliation>Department of Biological Sciences, Macquarie University, North Ryde, New South Wales 2109, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Guttridge</LastName><ForeName>Tristan L</ForeName><Initials>TL</Initials><AffiliationInfo><Affiliation>Bimini Biological Field Station Foundation, 15 Elizabeth Drive, South Bimini, Bahamas.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Day</LastName><ForeName>Joanna</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Taronga Conservation Society Australia, Mosman, New South Wales 2088, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Brown</LastName><ForeName>Culum</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Department of Biological Sciences, Macquarie University, North Ryde, New South Wales 2109, Australia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><DataBankList CompleteYN="Y"><DataBank><DataBankName>Dryad</DataBankName><AccessionNumberList><AccessionNumber>10.5061/dryad.20864</AccessionNumber></AccessionNumberList></DataBank></DataBankList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>09</Month><Day>06</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>R Soc Open Sci</MedlineTA><NlmUniqueID>101647528</NlmUniqueID><ISSNLinking>2054-5703</ISSNLinking></MedlineJournalInfo><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Sci Rep. 2013;3:1042</RefSource><PMID Version="1">23304433</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nature. 2015 Feb 26;518(7540):538-41</RefSource><PMID 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PubStatus="entrez"><Year>2017</Year><Month>10</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>10</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>10</Month><Day>11</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28989756</ArticleId><ArticleId IdType="doi">10.1098/rsos.170485</ArticleId><ArticleId IdType="pii">rsos170485</ArticleId><ArticleId IdType="pmc">PMC5627096</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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