Literature DB >> 18083733

A new method to quantify prey acquisition in diving seabirds using wing stroke frequency.

Katsufumi Sato1, Francis Daunt, Yutaka Watanuki, Akinori Takahashi, Sarah Wanless.   

Abstract

To understand the foraging strategies of free-ranging diving animals, time series information on both foraging effort and foraging success is essential. Theory suggests that wing stroke frequency for aerial flight should be higher in heavier birds. Based on this premise, we developed a new methodology using animal-borne accelerometers to estimate fine-scale temporal changes in body mass of a pursuit-diving, piscivorous seabird, the European shag, Phalacrocorax aristotelis. We hypothesized that variations in body mass determined from changes in wing stroke frequency before and after a series of dives would be related to the amount of prey captured. The estimated net gain in body mass during a foraging trip was highly variable, ranging from -30 to 260 g, values that were extremely similar to food loads obtained from shags on the Isle of May in previous years using water-offloading and nest balances. Load sizes estimated using the wing stroke method were strongly and positively related to both cumulative flight time and return flight time. At the trip level, load size was unrelated to cumulative dive bout duration and the total amount of time spent underwater. However, highly significant relationships were apparent at the individual bout level, with birds showing bigger mass gains following longer dive bouts. Results from this study are therefore extremely encouraging and suggest that changes in body mass determined from changes in wing stroke frequency may provide a reliable method of obtaining short- to medium-term information on foraging effort and success of diving seabirds.

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Year:  2008        PMID: 18083733     DOI: 10.1242/jeb.009811

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


  11 in total

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Authors:  Annette L Fayet; Alasdair I Houston
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2.  Identification of behaviour in freely moving dogs (Canis familiaris) using inertial sensors.

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Journal:  PLoS One       Date:  2013-10-18       Impact factor: 3.240

3.  A new method to quantify within dive foraging behaviour in marine predators.

Authors:  Karine Heerah; Mark Hindell; Christophe Guinet; Jean-Benoît Charrassin
Journal:  PLoS One       Date:  2014-06-12       Impact factor: 3.240

4.  Optimizing acceleration-based ethograms: the use of variable-time versus fixed-time segmentation.

Authors:  Roeland A Bom; Willem Bouten; Theunis Piersma; Kees Oosterbeek; Jan A van Gils
Journal:  Mov Ecol       Date:  2014-03-28       Impact factor: 3.600

5.  Validating accelerometry estimates of energy expenditure across behaviours using heart rate data in a free-living seabird.

Authors:  Olivia Hicks; Sarah Burthe; Francis Daunt; Adam Butler; Charles Bishop; Jonathan A Green
Journal:  J Exp Biol       Date:  2017-03-03       Impact factor: 3.312

6.  The energetic cost of parasitism in a wild population.

Authors:  Olivia Hicks; Sarah J Burthe; Francis Daunt; Mark Newell; Adam Butler; Motohiro Ito; Katsufumi Sato; Jonathan A Green
Journal:  Proc Biol Sci       Date:  2018-05-30       Impact factor: 5.349

7.  Functional dorsoventral symmetry in relation to lift-based swimming in the ocean sunfish Mola mola.

Authors:  Yuuki Watanabe; Katsufumi Sato
Journal:  PLoS One       Date:  2008-10-22       Impact factor: 3.240

8.  Can ethograms be automatically generated using body acceleration data from free-ranging birds?

Authors:  Kentaro Q Sakamoto; Katsufumi Sato; Mayumi Ishizuka; Yutaka Watanuki; Akinori Takahashi; Francis Daunt; Sarah Wanless
Journal:  PLoS One       Date:  2009-04-30       Impact factor: 3.240

9.  Scaling of soaring seabirds and implications for flight abilities of giant pterosaurs.

Authors:  Katsufumi Sato; Kentaro Q Sakamoto; Yutaka Watanuki; Akinori Takahashi; Nobuhiro Katsumata; Charles-André Bost; Henri Weimerskirch
Journal:  PLoS One       Date:  2009-04-29       Impact factor: 3.240

10.  Interpreting behaviors from accelerometry: a method combining simplicity and objectivity.

Authors:  Philip M Collins; Jonathan A Green; Victoria Warwick-Evans; Stephen Dodd; Peter J A Shaw; John P Y Arnould; Lewis G Halsey
Journal:  Ecol Evol       Date:  2015-10-02       Impact factor: 2.912

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