Literature DB >> 27852751

Correlations of metabolic rate and body acceleration in three species of coastal sharks under contrasting temperature regimes.

Karissa O Lear1, Nicholas M Whitney2, Lauran R Brewster3, Jack J Morris4, Robert E Hueter4, Adrian C Gleiss5.   

Abstract

The ability to produce estimates of the metabolic rate of free-ranging animals is fundamental to the study of their ecology. However, measuring the energy expenditure of animals in the field has proved difficult, especially for aquatic taxa. Accelerometry presents a means of translating metabolic rates measured in the laboratory to individuals studied in the field, pending appropriate laboratory calibrations. Such calibrations have only been performed on a few fish species to date, and only one where the effects of temperature were accounted for. Here, we present calibrations between activity, measured as overall dynamic body acceleration (ODBA), and metabolic rate, measured through respirometry, for nurse sharks (Ginglymostoma cirratum), lemon sharks (Negaprion brevirostris) and blacktip sharks (Carcharhinus limbatus). Calibrations were made at a range of volitional swimming speeds and experimental temperatures. Linear mixed models were used to determine a predictive equation for metabolic rate based on measured ODBA values, with the optimal model using ODBA in combination with activity state and temperature to predict metabolic rate in lemon and nurse sharks, and ODBA and temperature to predict metabolic rate in blacktip sharks. This study lays the groundwork for calculating the metabolic rate of these species in the wild using acceleration data.
© 2017. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Acceleration data logger; Bioenergetics; Elasmobranch; Field metabolic rate; Respirometry

Mesh:

Year:  2016        PMID: 27852751     DOI: 10.1242/jeb.146993

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


  8 in total

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Authors:  L R Brewster; J J Dale; T L Guttridge; S H Gruber; A C Hansell; M Elliott; I G Cowx; N M Whitney; A C Gleiss
Journal:  Mar Biol       Date:  2018-03-08       Impact factor: 2.573

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Journal:  Conserv Physiol       Date:  2018-05-21       Impact factor: 3.079

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Authors:  Samantha Andrzejaczek; Adrian C Gleiss; Lance K B Jordan; Charitha B Pattiaratchi; Lucy A Howey; Edward J Brooks; Mark G Meekan
Journal:  Sci Rep       Date:  2018-05-29       Impact factor: 4.379

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Authors:  Eric Ste-Marie; Yuuki Y Watanabe; Jayson M Semmens; Marianne Marcoux; Nigel E Hussey
Journal:  Sci Rep       Date:  2020-11-09       Impact factor: 4.379

6.  Assessment of Machine Learning Models to Identify Port Jackson Shark Behaviours Using Tri-Axial Accelerometers.

Authors:  Julianna P Kadar; Monique A Ladds; Joanna Day; Brianne Lyall; Culum Brown
Journal:  Sensors (Basel)       Date:  2020-12-11       Impact factor: 3.576

7.  Tri-axial accelerometry shows differences in energy expenditure and parental effort throughout the breeding season in long-lived raptors.

Authors:  Pascual López-López; Arturo M Perona; Olga Egea-Casas; Jon Morant; Vicente Urios
Journal:  Curr Zool       Date:  2021-01-30       Impact factor: 2.624

8.  The power struggle: assessing interacting global change stressors via experimental studies on sharks.

Authors:  Ian A Bouyoucos; Sue-Ann Watson; Serge Planes; Colin A Simpfendorfer; Gail D Schwieterman; Nicholas M Whitney; Jodie L Rummer
Journal:  Sci Rep       Date:  2020-11-16       Impact factor: 4.379

  8 in total

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