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Fishing for drifts: detecting buoyancy changes of a top marine predator using a step-wise filtering method

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Fishing for drifts : detecting buoyancy changes of a top marine predator using a step-wise filtering method. / Gordine, Samantha Alex; Fedak, Mike; Boehme, Lars.

In: Journal of Experimental Biology, Vol. 218, No. 23, 02.12.2015, p. 3816-3824.

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Gordine, SA, Fedak, M & Boehme, L 2015, 'Fishing for drifts: detecting buoyancy changes of a top marine predator using a step-wise filtering method' Journal of Experimental Biology, vol. 218, no. 23, pp. 3816-3824. https://doi.org/10.1242/jeb.118109

APA

Gordine, S. A., Fedak, M., & Boehme, L. (2015). Fishing for drifts: detecting buoyancy changes of a top marine predator using a step-wise filtering method. Journal of Experimental Biology, 218(23), 3816-3824. https://doi.org/10.1242/jeb.118109

Vancouver

Gordine SA, Fedak M, Boehme L. Fishing for drifts: detecting buoyancy changes of a top marine predator using a step-wise filtering method. Journal of Experimental Biology. 2015 Dec 2;218(23):3816-3824. https://doi.org/10.1242/jeb.118109

Author

Gordine, Samantha Alex ; Fedak, Mike ; Boehme, Lars. / Fishing for drifts : detecting buoyancy changes of a top marine predator using a step-wise filtering method. In: Journal of Experimental Biology. 2015 ; Vol. 218, No. 23. pp. 3816-3824.

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@article{33f3e6f1867e4b92ac124bf069552d3a,
title = "Fishing for drifts: detecting buoyancy changes of a top marine predator using a step-wise filtering method",
abstract = "In southern elephant seals (Mirounga leonina), fasting and foraging related fluctuations in body composition are reflected by buoyancy changes which can be monitored by changes in drift rate. Here, we present an improved knowledge-based method for detecting buoyancy changes from compressed and abstracted dive profiles received through telemetry. We applied this step-wise filtering method to the dive records of 11 southern elephant seals, which identified 0.8{\%} to 2.2{\%} of all dives as drift dives. At the beginning of the migration, all individuals were strongly negatively buoyant. Over the following 75 to 150 days, the buoyancy reached a peak close to or at neutral buoyancy, indicative of a seal’s foraging success. Ground-truthing confirmed that this new knowledge-based method is capable to reliably detect buoyancy changes in the dive records of drift diving species using abstracted dive profiles. This affirms that the abstraction algorithm conveys sufficient detail of the geometric shape of drift dives for them to be identified. It also suggest that using this step-wise filtering method, buoyancy changes could be detected even in old datasets with compressed dive information, for which conventional drift dive classification previously failed.",
keywords = "Buoyancy, Marine mammal, Elephant seal, Body composition, Drift diving, Telemetry, Foraging ecology, Diving behaviour",
author = "Gordine, {Samantha Alex} and Mike Fedak and Lars Boehme",
note = "This research was partly funded by a Natural Environment Research Council grant [NE/E018289/1]. Further, a PhD studentship in Marine Biology partially funded by the Natural Environment Research Council [NE/L501852/1] and the University of St Andrews 600th Scholarship supported this work.",
year = "2015",
month = "12",
day = "2",
doi = "10.1242/jeb.118109",
language = "English",
volume = "218",
pages = "3816--3824",
journal = "Journal of Experimental Biology",
issn = "0022-0949",
publisher = "Company of Biologists Ltd",
number = "23",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Fishing for drifts

T2 - Journal of Experimental Biology

AU - Gordine, Samantha Alex

AU - Fedak, Mike

AU - Boehme, Lars

N1 - This research was partly funded by a Natural Environment Research Council grant [NE/E018289/1]. Further, a PhD studentship in Marine Biology partially funded by the Natural Environment Research Council [NE/L501852/1] and the University of St Andrews 600th Scholarship supported this work.

PY - 2015/12/2

Y1 - 2015/12/2

N2 - In southern elephant seals (Mirounga leonina), fasting and foraging related fluctuations in body composition are reflected by buoyancy changes which can be monitored by changes in drift rate. Here, we present an improved knowledge-based method for detecting buoyancy changes from compressed and abstracted dive profiles received through telemetry. We applied this step-wise filtering method to the dive records of 11 southern elephant seals, which identified 0.8% to 2.2% of all dives as drift dives. At the beginning of the migration, all individuals were strongly negatively buoyant. Over the following 75 to 150 days, the buoyancy reached a peak close to or at neutral buoyancy, indicative of a seal’s foraging success. Ground-truthing confirmed that this new knowledge-based method is capable to reliably detect buoyancy changes in the dive records of drift diving species using abstracted dive profiles. This affirms that the abstraction algorithm conveys sufficient detail of the geometric shape of drift dives for them to be identified. It also suggest that using this step-wise filtering method, buoyancy changes could be detected even in old datasets with compressed dive information, for which conventional drift dive classification previously failed.

AB - In southern elephant seals (Mirounga leonina), fasting and foraging related fluctuations in body composition are reflected by buoyancy changes which can be monitored by changes in drift rate. Here, we present an improved knowledge-based method for detecting buoyancy changes from compressed and abstracted dive profiles received through telemetry. We applied this step-wise filtering method to the dive records of 11 southern elephant seals, which identified 0.8% to 2.2% of all dives as drift dives. At the beginning of the migration, all individuals were strongly negatively buoyant. Over the following 75 to 150 days, the buoyancy reached a peak close to or at neutral buoyancy, indicative of a seal’s foraging success. Ground-truthing confirmed that this new knowledge-based method is capable to reliably detect buoyancy changes in the dive records of drift diving species using abstracted dive profiles. This affirms that the abstraction algorithm conveys sufficient detail of the geometric shape of drift dives for them to be identified. It also suggest that using this step-wise filtering method, buoyancy changes could be detected even in old datasets with compressed dive information, for which conventional drift dive classification previously failed.

KW - Buoyancy

KW - Marine mammal

KW - Elephant seal

KW - Body composition

KW - Drift diving

KW - Telemetry

KW - Foraging ecology

KW - Diving behaviour

UR - http://www.smru.st-andrews.ac.uk/Instrumentation/Overview/

U2 - 10.1242/jeb.118109

DO - 10.1242/jeb.118109

M3 - Article

VL - 218

SP - 3816

EP - 3824

JO - Journal of Experimental Biology

JF - Journal of Experimental Biology

SN - 0022-0949

IS - 23

ER -

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ID: 173812742