A new method to quantify within dive foraging behaviour in marine predators.
Identifieur interne : 003695 ( PubMed/Corpus ); précédent : 003694; suivant : 003696A new method to quantify within dive foraging behaviour in marine predators.
Auteurs : Karine Heerah ; Mark Hindell ; Christophe Guinet ; Jean-Benoît CharrassinSource :
- PloS one [ 1932-6203 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- geographic : Antarctic Regions.
- methods : Ethology.
- physiology : Diving, Predatory Behavior.
- Acceleration, Algorithms, Animals, Ecosystem, Female.
Abstract
Studies on diving behaviour classically divide a dive into three phases: the descent, bottom and ascent phases, with foraging assumed to occur during the bottom phase. The greater complexity of dive revealed through modern, high resolution data highlights the need to re-assess this approach and to consider a larger number of phases within individual dives. Two southern elephant seals (SES) were fitted with a head mounted Time Depth Recorder (TDR) and an accelerometer from which prey capture attempts were estimated. A Weddell seal was also fitted with a TDR. TDRs for both species recorded depth once per second. We quantified the within dive behaviour using an automated broken stick algorithm identifying the optimal number of segments within each dive. The vertical sinuosity of the segments was used to infer two types of behaviours, with highly sinuous segments indicating "hunting" and less sinuous segments indicating "transiting". Using the broken stick method the seals alternated between "hunting" and "transit" modes with an average of 6±2 and 7±0.02 behavioural phases within each dive for the Weddell seal and SES, respectively. In SES, 77% of prey capture attempts (identified from the acceleration data) occurred in highly sinuous phases ("hunting") as defined by our new approach. SES spent more time in transit mode within a dive, and hunting mostly occurred during the bottom phase. Conversely the Weddell seal spent more time in hunting mode which also occurred during bottom phase but occurred mostly at shallower depths. Such differences probably reflect different foraging tactics and habitat use. For both species, hunting time differs significantly from bottom time previously used as a proxy for the time spent foraging in a dive. The hunting time defined by our method therefore provides a more accurate fine-scale description of the seals' foraging behaviour.
DOI: 10.1371/journal.pone.0099329
PubMed: 24922323
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The greater complexity of dive revealed through modern, high resolution data highlights the need to re-assess this approach and to consider a larger number of phases within individual dives. Two southern elephant seals (SES) were fitted with a head mounted Time Depth Recorder (TDR) and an accelerometer from which prey capture attempts were estimated. A Weddell seal was also fitted with a TDR. TDRs for both species recorded depth once per second. We quantified the within dive behaviour using an automated broken stick algorithm identifying the optimal number of segments within each dive. The vertical sinuosity of the segments was used to infer two types of behaviours, with highly sinuous segments indicating "hunting" and less sinuous segments indicating "transiting". Using the broken stick method the seals alternated between "hunting" and "transit" modes with an average of 6±2 and 7±0.02 behavioural phases within each dive for the Weddell seal and SES, respectively. In SES, 77% of prey capture attempts (identified from the acceleration data) occurred in highly sinuous phases ("hunting") as defined by our new approach. SES spent more time in transit mode within a dive, and hunting mostly occurred during the bottom phase. Conversely the Weddell seal spent more time in hunting mode which also occurred during bottom phase but occurred mostly at shallower depths. Such differences probably reflect different foraging tactics and habitat use. For both species, hunting time differs significantly from bottom time previously used as a proxy for the time spent foraging in a dive. The hunting time defined by our method therefore provides a more accurate fine-scale description of the seals' foraging behaviour.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24922323</PMID><DateCreated><Year>2014</Year><Month>06</Month><Day>13</Day></DateCreated><DateCompleted><Year>2015</Year><Month>01</Month><Day>29</Day></DateCompleted><DateRevised><Year>2015</Year><Month>08</Month><Day>05</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>9</Volume><Issue>6</Issue><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>A new method to quantify within dive foraging behaviour in marine predators.</ArticleTitle><Pagination><MedlinePgn>e99329</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0099329</ELocationID><Abstract><AbstractText>Studies on diving behaviour classically divide a dive into three phases: the descent, bottom and ascent phases, with foraging assumed to occur during the bottom phase. The greater complexity of dive revealed through modern, high resolution data highlights the need to re-assess this approach and to consider a larger number of phases within individual dives. Two southern elephant seals (SES) were fitted with a head mounted Time Depth Recorder (TDR) and an accelerometer from which prey capture attempts were estimated. A Weddell seal was also fitted with a TDR. TDRs for both species recorded depth once per second. We quantified the within dive behaviour using an automated broken stick algorithm identifying the optimal number of segments within each dive. The vertical sinuosity of the segments was used to infer two types of behaviours, with highly sinuous segments indicating "hunting" and less sinuous segments indicating "transiting". Using the broken stick method the seals alternated between "hunting" and "transit" modes with an average of 6±2 and 7±0.02 behavioural phases within each dive for the Weddell seal and SES, respectively. In SES, 77% of prey capture attempts (identified from the acceleration data) occurred in highly sinuous phases ("hunting") as defined by our new approach. SES spent more time in transit mode within a dive, and hunting mostly occurred during the bottom phase. Conversely the Weddell seal spent more time in hunting mode which also occurred during bottom phase but occurred mostly at shallower depths. Such differences probably reflect different foraging tactics and habitat use. For both species, hunting time differs significantly from bottom time previously used as a proxy for the time spent foraging in a dive. The hunting time defined by our method therefore provides a more accurate fine-scale description of the seals' foraging behaviour.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Heerah</LastName><ForeName>Karine</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Laboratoire d'Océanographie et du Climat: Expérimentations et Approches Numériques, CNRS-IRD-MNHN, Paris, France; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hindell</LastName><ForeName>Mark</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia; Antarctic Climate and Ecosystem Cooperative Research Centre, University of Tasmania, Hobart, Australia.</Affiliation></AffiliationInfo></Author><Author 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Feb 5;110(6):2199-204</RefSource><PMID Version="1">23341596</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Exp Biol. 2008 Mar;211(Pt 5):699-708</RefSource><PMID Version="1">18281332</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Theor Popul Biol. 1976 Apr;9(2):129-36</RefSource><PMID Version="1">1273796</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Exp Biol. 1992 Apr;165:181-94</RefSource><PMID Version="1">1588250</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>BMC Vet Res. 2006;2:8</RefSource><PMID Version="1">16469105</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Proc Natl Acad Sci U S A. 2007 Aug 21;104(34):13705-10</RefSource><PMID Version="1">17693555</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Am Nat. 2007 Nov;170(5):734-43</RefSource><PMID Version="1">17926295</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Exp Biol. 2008 Jan;211(Pt 1):58-65</RefSource><PMID Version="1">18083733</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Vet Rec. 2002 Aug 24;151(8):235-40</RefSource><PMID Version="1">12219901</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000054" MajorTopicYN="N">Acceleration</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000465" MajorTopicYN="N">Algorithms</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000864" MajorTopicYN="N" Type="Geographic">Antarctic Regions</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004242" MajorTopicYN="N">Diving</DescriptorName><QualifierName UI="Q000502" 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