Literature DB >> 22031740

Penguin head movement detected using small accelerometers: a proxy of prey encounter rate.

Nobuo Kokubun1, Jeong-Hoon Kim, Hyoung-Chul Shin, Yasuhiko Naito, Akinori Takahashi.   

Abstract

Determining temporal and spatial variation in feeding rates is essential for understanding the relationship between habitat features and the foraging behavior of top predators. In this study we examined the utility of head movement as a proxy of prey encounter rates in medium-sized Antarctic penguins, under the presumption that the birds should move their heads actively when they encounter and peck prey. A field study of free-ranging chinstrap and gentoo penguins was conducted at King George Island, Antarctica. Head movement was recorded using small accelerometers attached to the head, with simultaneous monitoring for prey encounter or body angle. The main prey was Antarctic krill (>99% in wet mass) for both species. Penguin head movement coincided with a slow change in body angle during dives. Active head movements were extracted using a high-pass filter (5 Hz acceleration signals) and the remaining acceleration peaks (higher than a threshold acceleration of 1.0 g) were counted. The timing of head movements coincided well with images of prey taken from the back-mounted cameras: head movement was recorded within ±2.5 s of a prey image on 89.1±16.1% (N=7 trips) of images. The number of head movements varied largely among dive bouts, suggesting large temporal variations in prey encounter rates. Our results show that head movement is an effective proxy of prey encounter, and we suggest that the method will be widely applicable for a variety of predators.

Mesh:

Year:  2011        PMID: 22031740     DOI: 10.1242/jeb.058263

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  13 in total

1.  The influence of preceding dive cycles on the foraging decisions of Antarctic fur seals.

Authors:  T Iwata; K Q Sakamoto; E W J Edwards; I J Staniland; P N Trathan; Y Goto; K Sato; Y Naito; A Takahashi
Journal:  Biol Lett       Date:  2015-07       Impact factor: 3.703

2.  Linking animal-borne video to accelerometers reveals prey capture variability.

Authors:  Yuuki Y Watanabe; Akinori Takahashi
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-22       Impact factor: 11.205

3.  Group association and vocal behaviour during foraging trips in Gentoo penguins.

Authors:  Noori Choi; Jeong-Hoon Kim; Nobuo Kokubun; Seongseop Park; Hosung Chung; Won Young Lee
Journal:  Sci Rep       Date:  2017-08-17       Impact factor: 4.379

4.  Classifying and inferring behaviors using real-time acceleration biotelemetry in reproductive steelhead trout (Oncorhynchus mykiss).

Authors:  Nathaniel T Fuchs; Christopher C Caudill
Journal:  Ecol Evol       Date:  2019-09-27       Impact factor: 2.912

5.  Loggerhead turtles (Caretta caretta) use vision to forage on gelatinous prey in mid-water.

Authors:  Tomoko Narazaki; Katsufumi Sato; Kyler J Abernathy; Greg J Marshall; Nobuyuki Miyazaki
Journal:  PLoS One       Date:  2013-06-12       Impact factor: 3.240

6.  Artificial light pollution increases nocturnal vigilance in peahens.

Authors:  Jessica L Yorzinski; Sarah Chisholm; Sydney D Byerley; Jeanee R Coy; Aisyah Aziz; Jamie A Wolf; Amanda C Gnerlich
Journal:  PeerJ       Date:  2015-08-13       Impact factor: 2.984

7.  Activity patterns of free-ranging koalas (Phascolarctos cinereus) revealed by accelerometry.

Authors:  Michelle A Ryan; Desley A Whisson; Greg J Holland; John P Y Arnould
Journal:  PLoS One       Date:  2013-11-04       Impact factor: 3.240

8.  European starlings use their acute vision to check on feline predators but not on conspecifics.

Authors:  Shannon R Butler; Esteban Fernández-Juricic
Journal:  PLoS One       Date:  2018-01-25       Impact factor: 3.240

9.  Development of an automated method of detecting stereotyped feeding events in multisensor data from tagged rorqual whales.

Authors:  Ann N Allen; Jeremy A Goldbogen; Ari S Friedlaender; John Calambokidis
Journal:  Ecol Evol       Date:  2016-09-29       Impact factor: 2.912

10.  An "orientation sphere" visualization for examining animal head movements.

Authors:  Rory P Wilson; Hannah J Williams; Mark D Holton; Agustina di Virgilio; Luca Börger; Jonathan R Potts; Richard Gunner; Alex Arkwright; Andreas Fahlman; Nigel C Bennett; Abdulaziz Alagaili; Nik C Cole; Carlos M Duarte; David M Scantlebury
Journal:  Ecol Evol       Date:  2020-03-24       Impact factor: 2.912

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