Data from: Bottom time does not always predict prey encounter rate in Antarctic fur seals

AbstractOptimal foraging models applied to breath-holding divers predict that diving predators should optimize the time spent foraging at the bottom of dives depending on prey encounter rate, distance to prey patch (depth) and physiological constraints. We tested this hypothesis on a free-ranging di...

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Main Authors: Viviant, Morgane, Jeanniard-Du-Dot, Tiphaine, Monestiez, Pascal, Authier, Matthieu, Guinet, Christophe, Jeanniard Dudot, Tiphaine
Format: Dataset
Language:unknown
Published: Scholars Portal Dataverse 2021
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Online Access:https://dx.doi.org/10.5683/sp2/aktjfv
https://dataverse.scholarsportal.info/citation?persistentId=doi:10.5683/SP2/AKTJFV
id ftdatacite:10.5683/sp2/aktjfv
record_format openpolar
spelling ftdatacite:10.5683/sp2/aktjfv 2023-05-15T13:55:42+02:00 Data from: Bottom time does not always predict prey encounter rate in Antarctic fur seals Viviant, Morgane Jeanniard-Du-Dot, Tiphaine Monestiez, Pascal Authier, Matthieu Guinet, Christophe Jeanniard Dudot, Tiphaine 2021 https://dx.doi.org/10.5683/sp2/aktjfv https://dataverse.scholarsportal.info/citation?persistentId=doi:10.5683/SP2/AKTJFV unknown Scholars Portal Dataverse dataset Dataset 2021 ftdatacite https://doi.org/10.5683/sp2/aktjfv 2021-11-05T12:55:41Z AbstractOptimal foraging models applied to breath-holding divers predict that diving predators should optimize the time spent foraging at the bottom of dives depending on prey encounter rate, distance to prey patch (depth) and physiological constraints. We tested this hypothesis on a free-ranging diving marine predator, the Antarctic fur seal Arctocephalus gazella, equipped with accelerometers or Hall sensors (n = 11) that recorded mouth-opening events, a proxy for prey capture attempts and thus feeding events. Over the 5896 dives analysed (>15 m depth), the mean number of mouth-opening events per dive was 1·21 ± 1·69 (mean ± SD). Overall, 82% of mouth-openings occurred at the bottom of dives. As predicted, fur seals increased their inferred foraging time at the bottom of dives with increasing patch distance (depth), irrespective of the number of mouth-openings. For dives shallower than 55 m, the mean bottom duration of dives without mouth-openings was shorter than for dives with mouth-opening events. However, this difference was only due to the occurrence of V-shaped dives with short bottom durations (0 or 1 s). When removing those V-shaped dives, bottom duration was not related to the presence of mouth-openings anymore. Thus, the decision to abandon foraging is likely related to other information about prey availability than prey capture attempts (i.e. sensory cues) that seals collect during the descent phase. We did not observe V-shaped dives for dives deeper than 55 m, threshold beyond which the mean dive duration exceeded the apparent aerobic dive limit. For dives deeper than 55 m, seals kept on foraging at bottom irrespective of the number of mouth-openings performed. Most dives occurred at shallower depths (30–55 m) than the 60 m depth of highest foraging efficiency (i.e. of greatest number of mouth-opening events per dive). This is likely related to physiological constraints during deeper dives. We suggest that foraging decisions are more complex than predicted by current theory and highlight the importance of the information collected by the predator during the descent as well as its physiological constraints. Ultimately, this will help establishing reliable predictive foraging models for marine predators based on diving patterns only. Dataset Antarc* Antarctic Antarctic Fur Seal Antarctic Fur Seals Arctocephalus gazella DataCite Metadata Store (German National Library of Science and Technology) Antarctic The Antarctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description AbstractOptimal foraging models applied to breath-holding divers predict that diving predators should optimize the time spent foraging at the bottom of dives depending on prey encounter rate, distance to prey patch (depth) and physiological constraints. We tested this hypothesis on a free-ranging diving marine predator, the Antarctic fur seal Arctocephalus gazella, equipped with accelerometers or Hall sensors (n = 11) that recorded mouth-opening events, a proxy for prey capture attempts and thus feeding events. Over the 5896 dives analysed (>15 m depth), the mean number of mouth-opening events per dive was 1·21 ± 1·69 (mean ± SD). Overall, 82% of mouth-openings occurred at the bottom of dives. As predicted, fur seals increased their inferred foraging time at the bottom of dives with increasing patch distance (depth), irrespective of the number of mouth-openings. For dives shallower than 55 m, the mean bottom duration of dives without mouth-openings was shorter than for dives with mouth-opening events. However, this difference was only due to the occurrence of V-shaped dives with short bottom durations (0 or 1 s). When removing those V-shaped dives, bottom duration was not related to the presence of mouth-openings anymore. Thus, the decision to abandon foraging is likely related to other information about prey availability than prey capture attempts (i.e. sensory cues) that seals collect during the descent phase. We did not observe V-shaped dives for dives deeper than 55 m, threshold beyond which the mean dive duration exceeded the apparent aerobic dive limit. For dives deeper than 55 m, seals kept on foraging at bottom irrespective of the number of mouth-openings performed. Most dives occurred at shallower depths (30–55 m) than the 60 m depth of highest foraging efficiency (i.e. of greatest number of mouth-opening events per dive). This is likely related to physiological constraints during deeper dives. We suggest that foraging decisions are more complex than predicted by current theory and highlight the importance of the information collected by the predator during the descent as well as its physiological constraints. Ultimately, this will help establishing reliable predictive foraging models for marine predators based on diving patterns only.
format Dataset
author Viviant, Morgane
Jeanniard-Du-Dot, Tiphaine
Monestiez, Pascal
Authier, Matthieu
Guinet, Christophe
Jeanniard Dudot, Tiphaine
spellingShingle Viviant, Morgane
Jeanniard-Du-Dot, Tiphaine
Monestiez, Pascal
Authier, Matthieu
Guinet, Christophe
Jeanniard Dudot, Tiphaine
Data from: Bottom time does not always predict prey encounter rate in Antarctic fur seals
author_facet Viviant, Morgane
Jeanniard-Du-Dot, Tiphaine
Monestiez, Pascal
Authier, Matthieu
Guinet, Christophe
Jeanniard Dudot, Tiphaine
author_sort Viviant, Morgane
title Data from: Bottom time does not always predict prey encounter rate in Antarctic fur seals
title_short Data from: Bottom time does not always predict prey encounter rate in Antarctic fur seals
title_full Data from: Bottom time does not always predict prey encounter rate in Antarctic fur seals
title_fullStr Data from: Bottom time does not always predict prey encounter rate in Antarctic fur seals
title_full_unstemmed Data from: Bottom time does not always predict prey encounter rate in Antarctic fur seals
title_sort data from: bottom time does not always predict prey encounter rate in antarctic fur seals
publisher Scholars Portal Dataverse
publishDate 2021
url https://dx.doi.org/10.5683/sp2/aktjfv
https://dataverse.scholarsportal.info/citation?persistentId=doi:10.5683/SP2/AKTJFV
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
Antarctic Fur Seal
Antarctic Fur Seals
Arctocephalus gazella
genre_facet Antarc*
Antarctic
Antarctic Fur Seal
Antarctic Fur Seals
Arctocephalus gazella
op_doi https://doi.org/10.5683/sp2/aktjfv
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