Dive characteristics can predict foraging success in Australian fur seals (arctocephalus pusillus doriferus) as validated by animal-borne video

Volpov, Beth L., Rosen, David A., Hoskins, Andrew J., Lourie, Holly J., Dorville, Nicole, Baylis, Alastair M. M., Wheatley, Kathryn E., Marshall, Greg, Abernathy, Kyler, Semmens, Jayson, Hindell, Mark A. and Arnould, John P. Y. 2016, Dive characteristics can predict foraging success in Australian fur seals (arctocephalus pusillus doriferus) as validated by animal-borne video, Biology open, vol. 5, no. 3, pp. 262-271, doi: 10.1242/bio.016659.

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Title Dive characteristics can predict foraging success in Australian fur seals (arctocephalus pusillus doriferus) as validated by animal-borne video
Author(s) Volpov, Beth L.
Rosen, David A.
Hoskins, Andrew J.
Lourie, Holly J.
Dorville, Nicole
Baylis, Alastair M. M.
Wheatley, Kathryn E.
Marshall, Greg
Abernathy, Kyler
Semmens, Jayson
Hindell, Mark A.
Arnould, John P. Y.ORCID iD for Arnould, John P. Y. orcid.org/0000-0003-1124-9330
Journal name Biology open
Volume number 5
Issue number 3
Start page 262
End page 271
Total pages 10
Publisher Company of Biologists
Place of publication Cambridge, Eng.
Publication date 2016
ISSN 2046-6390
Keyword(s) Animal-borne video
Dive profile analysis
Foraging behaviour
Science & Technology
Life Sciences & Biomedicine
Life Sciences & Biomedicine - Other Topics
Summary Dive characteristics and dive shape are often used to infer foraging success in pinnipeds. However, these inferences have not been directly validated in the field with video, and it remains unclear if this method can be applied to benthic foraging animals. This study assessed the ability of dive characteristics from time-depth recorders (TDR) to predict attempted prey capture events (APC) that were directly observed on animal-borne video in Australian fur seals (Arctocephalus pusillus doriferus, n=11). The most parsimonious model predicting the probability of a dive with ≥1 APC on video included only descent rate as a predictor variable. The majority (94%) of the 389 total APC were successful, and the majority of the dives (68%) contained at least one successful APC. The best model predicting these successful dives included descent rate as a predictor. Comparisons of the TDR model predictions to video yielded a maximum accuracy of 77.5% in classifying dives as either APC or non-APC or 77.1% in classifying dives as successful verses unsuccessful. Foraging intensity, measured as either total APC per dive or total successful APC per dive, was best predicted by bottom duration and ascent rate. The accuracy in predicting total APC per dive varied based on the number of APC per dive with maximum accuracy occurring at 1 APC for both total (54%) and only successful APC (52%). Results from this study linking verified foraging dives to dive characteristics potentially opens the door to decades of historical TDR datasets across several otariid species.
Language eng
DOI 10.1242/bio.016659
Field of Research 060201 Behavioural Ecology
060205 Marine and Estuarine Ecology (incl Marine Ichthyology)
Socio Economic Objective 970106 Expanding Knowledge in the Biological Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Company of Biologists
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082260

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