Literature DB >> 31173339

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

Rory P Wilson1, Luca Börger1, Mark D Holton2, D Michael Scantlebury3, Agustina Gómez-Laich4, Flavio Quintana4, Frank Rosell5, Patricia M Graf6,7, Hannah Williams1, Richard Gunner1, Lloyd Hopkins1, Nikki Marks3, Nathan R Geraldi8, Carlos M Duarte8, Rebecca Scott9, Michael S Strano10, Hermina Robotka11, Christophe Eizaguirre12, Andreas Fahlman13, Emily L C Shepard1,14.   

Abstract

It is fundamentally important for many animal ecologists to quantify the costs of animal activities, although it is not straightforward to do so. The recording of triaxial acceleration by animal-attached devices has been proposed as a way forward for this, with the specific suggestion that dynamic body acceleration (DBA) be used as a proxy for movement-based power. Dynamic body acceleration has now been validated frequently, both in the laboratory and in the field, although the literature still shows that some aspects of DBA theory and practice are misunderstood. Here, we examine the theory behind DBA and employ modelling approaches to assess factors that affect the link between DBA and energy expenditure, from the deployment of the tag, through to the calibration of DBA with energy use in laboratory and field settings. Using data from a range of species and movement modes, we illustrate that vectorial and additive DBA metrics are proportional to each other. Either can be used as a proxy for energy and summed to estimate total energy expended over a given period, or divided by time to give a proxy for movement-related metabolic power. Nonetheless, we highlight how the ability of DBA to predict metabolic rate declines as the contribution of non-movement-related factors, such as heat production, increases. Overall, DBA seems to be a substantive proxy for movement-based power but consideration of other movement-related metrics, such as the static body acceleration and the rate of change of body pitch and roll, may enable researchers to refine movement-based metabolic costs, particularly in animals where movement is not characterized by marked changes in body acceleration.
© 2019 The Authors. Journal of Animal Ecology © 2019 British Ecological Society.

Entities:  

Keywords:  doubly labelled water; dynamic body acceleration; energy expenditure; movement costs; wild animals

Mesh:

Year:  2019        PMID: 31173339      PMCID: PMC7030956          DOI: 10.1111/1365-2656.13040

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  43 in total

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Authors:  J A LEBLANC
Journal:  J Appl Physiol       Date:  1957-03       Impact factor: 3.531

Review 2.  Models and the scaling of energy costs for locomotion.

Authors:  R McNeill Alexander
Journal:  J Exp Biol       Date:  2005-05       Impact factor: 3.312

3.  Wildlife energy: Survival of the fittest.

Authors:  Andrew Curry
Journal:  Nature       Date:  2014-09-11       Impact factor: 49.962

4.  Assessment of energy expenditure by recording heart rate and body acceleration.

Authors:  G A Meijer; K R Westerterp; H Koper; F ten Hoor
Journal:  Med Sci Sports Exerc       Date:  1989-06       Impact factor: 5.411

5.  Keeping momentum with a mouthful of water: behavior and kinematics of humpback whale lunge feeding.

Authors:  Malene Simon; Mark Johnson; Peter T Madsen
Journal:  J Exp Biol       Date:  2012-11-01       Impact factor: 3.312

6.  Continuous measurement of heart rate as an indicator of the energy expenditure of sheep.

Authors:  A J Webster
Journal:  Br J Nutr       Date:  1967-08       Impact factor: 3.718

7.  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

8.  A Pharmacokinetic Model of a Tissue Implantable Cortisol Sensor.

Authors:  Michael A Lee; Naveed Bakh; Gili Bisker; Emery N Brown; Michael S Strano
Journal:  Adv Healthc Mater       Date:  2016-10-26       Impact factor: 9.933

9.  Does the Treadmill Support Valid Energetics Estimates of Field Locomotion?

Authors:  Owen R Bidder; Colette Goulding; Alejandra Toledo; Tessa A van Walsum; Ursula Siebert; Lewis G Halsey
Journal:  Integr Comp Biol       Date:  2017-08-01       Impact factor: 3.326

10.  A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle.

Authors:  Rory P Wilson; Mark D Holton; James S Walker; Emily L C Shepard; D Mike Scantlebury; Vianney L Wilson; Gwendoline I Wilson; Brenda Tysse; Mike Gravenor; Javier Ciancio; Melitta A McNarry; Kelly A Mackintosh; Lama Qasem; Frank Rosell; Patricia M Graf; Flavio Quintana; Agustina Gomez-Laich; Juan-Emilio Sala; Christina C Mulvenna; Nicola J Marks; Mark W Jones
Journal:  Mov Ecol       Date:  2016-09-23       Impact factor: 3.600

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Authors:  Hannah J Williams; Lucy A Taylor; Simon Benhamou; Allert I Bijleveld; Thomas A Clay; Sophie de Grissac; Urška Demšar; Holly M English; Novella Franconi; Agustina Gómez-Laich; Rachael C Griffiths; William P Kay; Juan Manuel Morales; Jonathan R Potts; Katharine F Rogerson; Christian Rutz; Anouk Spelt; Alice M Trevail; Rory P Wilson; Luca Börger
Journal:  J Anim Ecol       Date:  2019-10-01       Impact factor: 5.091

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Authors:  Barry A Nickel; Justin P Suraci; Anna C Nisi; Christopher C Wilmers
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-02       Impact factor: 11.205

3.  Covariation between glucocorticoids, behaviour and immunity supports the pace-of-life syndrome hypothesis: an experimental approach.

Authors:  Jeffrey Carbillet; Benjamin Rey; Rupert Palme; Chloé Monestier; Luca Börger; Typhaine Lavabre; Marie-Line Maublanc; Nicolas Cebe; Jean-Luc Rames; Guillaume Le Loc'h; Marine Wasniewski; Benoit Rannou; Emmanuelle Gilot-Fromont; Hélène Verheyden
Journal:  Proc Biol Sci       Date:  2022-05-25       Impact factor: 5.530

4.  How often should dead-reckoned animal movement paths be corrected for drift?

Authors:  Richard M Gunner; Mark D Holton; David M Scantlebury; Phil Hopkins; Emily L C Shepard; Adam J Fell; Baptiste Garde; Flavio Quintana; Agustina Gómez-Laich; Ken Yoda; Takashi Yamamoto; Holly English; Sam Ferreira; Danny Govender; Pauli Viljoen; Angela Bruns; O Louis van Schalkwyk; Nik C Cole; Vikash Tatayah; Luca Börger; James Redcliffe; Stephen H Bell; Nikki J Marks; Nigel C Bennett; Mariano H Tonini; Hannah J Williams; Carlos M Duarte; Martin C van Rooyen; Mads F Bertelsen; Craig J Tambling; Rory P Wilson
Journal:  Anim Biotelemetry       Date:  2021-10-16

5.  What is physiologging? Introduction to the theme issue, part 2.

Authors:  L A Hawkes; A Fahlman; K Sato
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-06-28       Impact factor: 6.671

6.  Accelerometer informed time-energy budgets reveal the importance of temperature to the activity of a wild, arid zone canid.

Authors:  Jack Tatler; Shannon E Currie; Phillip Cassey; Anne K Scharf; David A Roshier; Thomas A A Prowse
Journal:  Mov Ecol       Date:  2021-03-18       Impact factor: 3.600

7.  Behavioural inference from signal processing using animal-borne multi-sensor loggers: a novel solution to extend the knowledge of sea turtle ecology.

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Journal:  R Soc Open Sci       Date:  2020-05-13       Impact factor: 2.963

8.  Time and energy costs of different foraging choices in an avian generalist species.

Authors:  Alejandro Sotillo; Jan M Baert; Wendt Müller; Eric W M Stienen; Amadeu M V M Soares; Luc Lens
Journal:  Mov Ecol       Date:  2019-12-30       Impact factor: 3.600

9.  Energetic limits: Defining the bounds and trade-offs of successful energy management in a capital breeder.

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Journal:  J Anim Ecol       Date:  2020-09-07       Impact factor: 5.091

10.  Hidden Markov models identify major movement modes in accelerometer and magnetometer data from four albatross species.

Authors:  Melinda G Conners; Théo Michelot; Eleanor I Heywood; Rachael A Orben; Richard A Phillips; Alexei L Vyssotski; Scott A Shaffer; Lesley H Thorne
Journal:  Mov Ecol       Date:  2021-02-22       Impact factor: 3.600

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