Video and acceleration records of streaked shearwaters allows detection of two foraging behaviours associated with large marine predators.

The study of seabird behaviour has largely relied on animal-borne tags to gather information, requiring interpretation to estimate at-sea behaviours. Details of shallow-diving birds' foraging are less known than deep-diving species due to difficulty in identifying shallow dives from biologging...

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Autores principales:	Aran Garrod, Sei Yamamoto, Kentaro Q Sakamoto, Katsufumi Sato
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/aec9a80f95244acd94cf79e8e1ae20b9
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spelling	oai:doaj.org-article:aec9a80f95244acd94cf79e8e1ae20b92021-12-02T20:06:56ZVideo and acceleration records of streaked shearwaters allows detection of two foraging behaviours associated with large marine predators.1932-620310.1371/journal.pone.0254454https://doaj.org/article/aec9a80f95244acd94cf79e8e1ae20b92021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254454https://doaj.org/toc/1932-6203The study of seabird behaviour has largely relied on animal-borne tags to gather information, requiring interpretation to estimate at-sea behaviours. Details of shallow-diving birds' foraging are less known than deep-diving species due to difficulty in identifying shallow dives from biologging devices. Development of smaller video loggers allow a direct view of these birds' behaviours, at the cost of short battery capacity. However, recordings from video loggers combined with relatively low power usage accelerometers give a means to develop a reliable foraging detection method. Combined video and acceleration loggers were attached to streaked shearwaters in Funakoshi-Ohshima Island (39°24'N,141°59'E) during the breeding season in 2018. Video recordings were classified into behavioural categories (rest, transit, and foraging) and a detection method was generated from the acceleration signals. Two foraging behaviours, surface seizing and foraging dives, are reported with video recordings. Surface seizing was comprised of successive take-offs and landings (mean duration 0.6 and 1.5s, respectively), while foraging dives were shallow subsurface dives (3.2s mean duration) from the air and water surface. Birds were observed foraging close to marine predators, including dolphins and large fish. Results of the behaviour detection method were validated against video recordings, with mean true and false positive rates of 90% and 0%, 79% and 5%, and 66% and <1%, for flight, surface seizing, and foraging dives, respectively. The detection method was applied to longer duration acceleration and GPS datasets collected during the 2018 and 2019 breeding seasons. Foraging trips lasted between 1 - 8 days, with birds performing on average 16 surface seizing events and 43 foraging dives per day, comprising <1% of daily activity, while transit and rest took up 55 and 40%, respectively. This foraging detection method can address the difficulties of recording shallow-diving foraging behaviour and provides a means to measure activity budgets across shallow diving seabird species.Aran GarrodSei YamamotoKentaro Q SakamotoKatsufumi SatoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254454 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Aran Garrod Sei Yamamoto Kentaro Q Sakamoto Katsufumi Sato Video and acceleration records of streaked shearwaters allows detection of two foraging behaviours associated with large marine predators.
description	The study of seabird behaviour has largely relied on animal-borne tags to gather information, requiring interpretation to estimate at-sea behaviours. Details of shallow-diving birds' foraging are less known than deep-diving species due to difficulty in identifying shallow dives from biologging devices. Development of smaller video loggers allow a direct view of these birds' behaviours, at the cost of short battery capacity. However, recordings from video loggers combined with relatively low power usage accelerometers give a means to develop a reliable foraging detection method. Combined video and acceleration loggers were attached to streaked shearwaters in Funakoshi-Ohshima Island (39°24'N,141°59'E) during the breeding season in 2018. Video recordings were classified into behavioural categories (rest, transit, and foraging) and a detection method was generated from the acceleration signals. Two foraging behaviours, surface seizing and foraging dives, are reported with video recordings. Surface seizing was comprised of successive take-offs and landings (mean duration 0.6 and 1.5s, respectively), while foraging dives were shallow subsurface dives (3.2s mean duration) from the air and water surface. Birds were observed foraging close to marine predators, including dolphins and large fish. Results of the behaviour detection method were validated against video recordings, with mean true and false positive rates of 90% and 0%, 79% and 5%, and 66% and <1%, for flight, surface seizing, and foraging dives, respectively. The detection method was applied to longer duration acceleration and GPS datasets collected during the 2018 and 2019 breeding seasons. Foraging trips lasted between 1 - 8 days, with birds performing on average 16 surface seizing events and 43 foraging dives per day, comprising <1% of daily activity, while transit and rest took up 55 and 40%, respectively. This foraging detection method can address the difficulties of recording shallow-diving foraging behaviour and provides a means to measure activity budgets across shallow diving seabird species.
format	article
author	Aran Garrod Sei Yamamoto Kentaro Q Sakamoto Katsufumi Sato
author_facet	Aran Garrod Sei Yamamoto Kentaro Q Sakamoto Katsufumi Sato
author_sort	Aran Garrod
title	Video and acceleration records of streaked shearwaters allows detection of two foraging behaviours associated with large marine predators.
title_short	Video and acceleration records of streaked shearwaters allows detection of two foraging behaviours associated with large marine predators.
title_full	Video and acceleration records of streaked shearwaters allows detection of two foraging behaviours associated with large marine predators.
title_fullStr	Video and acceleration records of streaked shearwaters allows detection of two foraging behaviours associated with large marine predators.
title_full_unstemmed	Video and acceleration records of streaked shearwaters allows detection of two foraging behaviours associated with large marine predators.
title_sort	video and acceleration records of streaked shearwaters allows detection of two foraging behaviours associated with large marine predators.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/aec9a80f95244acd94cf79e8e1ae20b9
work_keys_str_mv	AT arangarrod videoandaccelerationrecordsofstreakedshearwatersallowsdetectionoftwoforagingbehavioursassociatedwithlargemarinepredators AT seiyamamoto videoandaccelerationrecordsofstreakedshearwatersallowsdetectionoftwoforagingbehavioursassociatedwithlargemarinepredators AT kentaroqsakamoto videoandaccelerationrecordsofstreakedshearwatersallowsdetectionoftwoforagingbehavioursassociatedwithlargemarinepredators AT katsufumisato videoandaccelerationrecordsofstreakedshearwatersallowsdetectionoftwoforagingbehavioursassociatedwithlargemarinepredators
_version_	1718375323583643648

Video and acceleration records of streaked shearwaters allows detection of two foraging behaviours associated with large marine predators.

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