Literature DB >> 23256182

Accelerometry predicts daily energy expenditure in a bird with high activity levels.

Kyle H Elliott1, Maryline Le Vaillant, Akiko Kato, John R Speakman, Yan Ropert-Coudert.   

Abstract

Animal ecology is shaped by energy costs, yet it is difficult to measure fine-scale energy expenditure in the wild. Because metabolism is often closely correlated with mechanical work, accelerometers have the potential to provide detailed information on energy expenditure of wild animals over fine temporal scales. Nonetheless, accelerometry needs to be validated on wild animals, especially across different locomotory modes. We merged data collected on 20 thick-billed murres (Uria lomvia) from miniature accelerometers with measurements of daily energy expenditure over 24 h using doubly labelled water. Across three different locomotory modes (swimming, flying and movement on land), dynamic body acceleration was a good predictor of daily energy expenditure as measured independently by doubly labelled water (R(2) = 0.73). The most parsimonious model suggested that different equations were needed to predict energy expenditure from accelerometry for flying than for surface swimming or activity on land (R(2) = 0.81). Our results demonstrate that accelerometers can provide an accurate integrated measure of energy expenditure in wild animals using many different locomotory modes.

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Mesh:

Year:  2012        PMID: 23256182      PMCID: PMC3565507          DOI: 10.1098/rsbl.2012.0919

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


  14 in total

1.  Energy expenditure estimated by accelerometry and doubly labeled water: do they agree?

Authors:  Nicole Y Leenders; William Michael Sherman; Haikady N Nagaraja
Journal:  Med Sci Sports Exerc       Date:  2006-12       Impact factor: 5.411

Review 2.  Physical activity assessment with accelerometers: an evaluation against doubly labeled water.

Authors:  Guy Plasqui; Klaas R Westerterp
Journal:  Obesity (Silver Spring)       Date:  2007-10       Impact factor: 5.002

Review 3.  Locomotion: energy cost of swimming, flying, and running.

Authors:  K Schmidt-Nielsen
Journal:  Science       Date:  1972-07-21       Impact factor: 47.728

4.  Moving towards acceleration for estimates of activity-specific metabolic rate in free-living animals: the case of the cormorant.

Authors:  Rory P Wilson; Craig R White; Flavio Quintana; Lewis G Halsey; Nikolai Liebsch; Graham R Martin; Patrick J Butler
Journal:  J Anim Ecol       Date:  2006-09       Impact factor: 5.091

5.  The relationship between oxygen consumption and body acceleration in a range of species.

Authors:  L G Halsey; E L C Shepard; F Quintana; A Gomez Laich; J A Green; R P Wilson
Journal:  Comp Biochem Physiol A Mol Integr Physiol       Date:  2008-09-27       Impact factor: 2.320

6.  The cost of foraging by a marine predator, the Weddell seal Leptonychotes weddellii: pricing by the stroke.

Authors:  Terrie M Williams; Lee A Fuiman; Markus Horning; Randall W Davis
Journal:  J Exp Biol       Date:  2004-02       Impact factor: 3.312

7.  Acceleration versus heart rate for estimating energy expenditure and speed during locomotion in animals: tests with an easy model species, Homo sapiens.

Authors:  Lewis G Halsey; Emily L C Shepard; Carl J Hulston; Michelle C Venables; Craig R White; Asker E Jeukendrup; Rory P Wilson
Journal:  Zoology (Jena)       Date:  2008-03-28       Impact factor: 2.240

8.  A new technique for monitoring the behaviour of free-ranging Adélie penguins.

Authors:  K Yoda; Y Naito; K Sato; A Takahashi; J Nishikawa; Y Ropert-Coudert; M Kurita; Y Le Maho
Journal:  J Exp Biol       Date:  2001-02       Impact factor: 3.312

9.  Metabolic power, mechanical power and efficiency during wind tunnel flight by the European starling Sturnus vulgaris.

Authors:  S Ward; U Möller; J M Rayner; D M Jackson; D Bilo; W Nachtigall; J R Speakman
Journal:  J Exp Biol       Date:  2001-10       Impact factor: 3.312

10.  Stroke frequency, but not swimming speed, is related to body size in free-ranging seabirds, pinnipeds and cetaceans.

Authors:  Katsufumi Sato; Yutaka Watanuki; Akinori Takahashi; Patrick J O Miller; Hideji Tanaka; Ryo Kawabe; Paul J Ponganis; Yves Handrich; Tomonari Akamatsu; Yuuki Watanabe; Yoko o Mitani; Daniel P Costa; Charles-André Bost; Kagari Aoki; Masao Amano; Phil Trathan; Ari Shapiro; Yasuhiko Naito
Journal:  Proc Biol Sci       Date:  2007-02-22       Impact factor: 5.349

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  29 in total

1.  Estimates for energy expenditure in free-living animals using acceleration proxies: A reappraisal.

Authors:  Rory P Wilson; Luca Börger; Mark D Holton; D Michael Scantlebury; Agustina Gómez-Laich; Flavio Quintana; Frank Rosell; Patricia M Graf; Hannah Williams; Richard Gunner; Lloyd Hopkins; Nikki Marks; Nathan R Geraldi; Carlos M Duarte; Rebecca Scott; Michael S Strano; Hermina Robotka; Christophe Eizaguirre; Andreas Fahlman; Emily L C Shepard
Journal:  J Anim Ecol       Date:  2019-06-27       Impact factor: 5.091

2.  Tidal drift removes the need for area-restricted search in foraging Atlantic puffins.

Authors:  Ashley Bennison; John L Quinn; Alison Debney; Mark Jessopp
Journal:  Biol Lett       Date:  2019-07-10       Impact factor: 3.703

3.  The foraging benefits of being fat in a highly migratory marine mammal.

Authors:  Taiki Adachi; Jennifer L Maresh; Patrick W Robinson; Sarah H Peterson; Daniel P Costa; Yasuhiko Naito; Yuuki Y Watanabe; Akinori Takahashi
Journal:  Proc Biol Sci       Date:  2014-12-22       Impact factor: 5.349

4.  Windscapes shape seabird instantaneous energy costs but adult behavior buffers impact on offspring.

Authors:  Kyle Hamish Elliott; Lorraine S Chivers; Lauren Bessey; Anthony J Gaston; Scott A Hatch; Akiko Kato; Orla Osborne; Yan Ropert-Coudert; John R Speakman; James F Hare
Journal:  Mov Ecol       Date:  2014-09-12       Impact factor: 3.600

5.  Quantity over quality? Prey-field characteristics influence the foraging decisions of little penguins (Eudyptula minor).

Authors:  G J Sutton; J P Y Arnould
Journal:  R Soc Open Sci       Date:  2022-06-15       Impact factor: 3.653

6.  The Use of Acceleration to Code for Animal Behaviours; A Case Study in Free-Ranging Eurasian Beavers Castor fiber.

Authors:  Patricia M Graf; Rory P Wilson; Lama Qasem; Klaus Hackländer; Frank Rosell
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

7.  Interpretation of body-mounted accelerometry in flying animals and estimation of biomechanical power.

Authors:  R J Spivey; C M Bishop
Journal:  J R Soc Interface       Date:  2013-07-24       Impact factor: 4.118

8.  How cheap is soaring flight in raptors? A preliminary investigation in freely-flying vultures.

Authors:  Olivier Duriez; Akiko Kato; Clara Tromp; Giacomo Dell'Omo; Alexei L Vyssotski; François Sarrazin; Yan Ropert-Coudert
Journal:  PLoS One       Date:  2014-01-15       Impact factor: 3.240

9.  Thyroid hormones correlate with resting metabolic rate, not daily energy expenditure, in two charadriiform seabirds.

Authors:  Kyle H Elliott; Jorg Welcker; Anthony J Gaston; Scott A Hatch; Vince Palace; James F Hare; John R Speakman; W Gary Anderson
Journal:  Biol Open       Date:  2013-04-22       Impact factor: 2.422

10.  Eating locally: Australasian gannets increase their foraging effort in a restricted range.

Authors:  Lauren P Angel; Sophie Barker; Maud Berlincourt; Emma Tew; Victoria Warwick-Evans; John P Y Arnould
Journal:  Biol Open       Date:  2015-09-14       Impact factor: 2.422

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