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A New Method to Quantify within Dive Foraging Behaviour in Marine Predators

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 c...

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Autores principales: Heerah, Karine, Hindell, Mark, Guinet, Christophe, Charrassin, Jean-Benoît
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055756/
https://www.ncbi.nlm.nih.gov/pubmed/24922323
http://dx.doi.org/10.1371/journal.pone.0099329
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author Heerah, Karine
Hindell, Mark
Guinet, Christophe
Charrassin, Jean-Benoît
author_facet Heerah, Karine
Hindell, Mark
Guinet, Christophe
Charrassin, Jean-Benoît
author_sort Heerah, Karine
collection PubMed
description 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.
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spelling pubmed-40557562014-06-18 A New Method to Quantify within Dive Foraging Behaviour in Marine Predators Heerah, Karine Hindell, Mark Guinet, Christophe Charrassin, Jean-Benoît PLoS One Research Article 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. Public Library of Science 2014-06-12 /pmc/articles/PMC4055756/ /pubmed/24922323 http://dx.doi.org/10.1371/journal.pone.0099329 Text en © 2014 Heerah et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Heerah, Karine
Hindell, Mark
Guinet, Christophe
Charrassin, Jean-Benoît
A New Method to Quantify within Dive Foraging Behaviour in Marine Predators
title A New Method to Quantify within Dive Foraging Behaviour in Marine Predators
title_full A New Method to Quantify within Dive Foraging Behaviour in Marine Predators
title_fullStr A New Method to Quantify within Dive Foraging Behaviour in Marine Predators
title_full_unstemmed A New Method to Quantify within Dive Foraging Behaviour in Marine Predators
title_short A New Method to Quantify within Dive Foraging Behaviour in Marine Predators
title_sort new method to quantify within dive foraging behaviour in marine predators
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055756/
https://www.ncbi.nlm.nih.gov/pubmed/24922323
http://dx.doi.org/10.1371/journal.pone.0099329
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