Literature DB >> 22071193

Energy expenditure of freely swimming adult green turtles (Chelonia mydas) and its link with body acceleration.

Manfred R Enstipp1, Stéphane Ciccione, Benoit Gineste, Myriam Milbergue, Katia Ballorain, Yan Ropert-Coudert, Akiko Kato, Virginie Plot, Jean-Yves Georges.   

Abstract

Marine turtles are globally threatened. Crucial for the conservation of these large ectotherms is a detailed knowledge of their energy relationships, especially their at-sea metabolic rates, which will ultimately define population structure and size. Measuring metabolic rates in free-ranging aquatic animals, however, remains a challenge. Hence, it is not surprising that for most marine turtle species we know little about the energetic requirements of adults at sea. Recently, accelerometry has emerged as a promising tool for estimating activity-specific metabolic rates of animals in the field. Accelerometry allows quantification of the movement of animals (ODBA/PDBA, overall/partial dynamic body acceleration), which, after calibration, might serve as a proxy for metabolic rate. We measured oxygen consumption rates (V(O(2))) of adult green turtles (Chelonia mydas; 142.1±26.9 kg) at rest and when swimming within a 13 m-long swim channel, using flow-through respirometry. We investigated the effect of water temperature (T(w)) on turtle and tested the hypothesis that turtle body acceleration can be used as a proxy for V(O(2)). Mean mass-specific V(O(2)) (sV(O(2))) of six turtles when resting at a T(w) of 25.8±1.0°C was 0.50±0.09 ml min(-1) kg(-0.83). sV(O(2))increased significantly with T(w) and activity level. Changes in sV(O(2)) were paralleled by changes in respiratory frequency (f(R)). Deploying bi-axial accelerometers in conjunction with respirometry, we found a significant positive relationship between sV(O(2)) and PDBA that was modified by T(w). The resulting predictive equation was highly significant (r(2)=0.83, P<0.0001) and associated error estimates were small (mean algebraic error 3.3%), indicating that body acceleration is a good predictor of V(O(2)) in green turtles. Our results suggest that accelerometry is a suitable method to investigate marine turtle energetics at sea.

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Year:  2011        PMID: 22071193     DOI: 10.1242/jeb.062943

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


  14 in total

1.  Validating the relationship between 3-dimensional body acceleration and oxygen consumption in trained Steller sea lions.

Authors:  Beth L Volpov; David A S Rosen; Andrew W Trites; John P Y Arnould
Journal:  J Comp Physiol B       Date:  2015-05-23       Impact factor: 2.200

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

Authors:  Kyle H Elliott; Maryline Le Vaillant; Akiko Kato; John R Speakman; Yan Ropert-Coudert
Journal:  Biol Lett       Date:  2012-12-19       Impact factor: 3.703

3.  Surfacers change their dive tactics depending on the aim of the dive: evidence from simultaneous measurements of breaths and energy expenditure.

Authors:  Junichi Okuyama; Runa Tabata; Kana Nakajima; Nobuaki Arai; Masato Kobayashi; Shiro Kagawa
Journal:  Proc Biol Sci       Date:  2014-11-22       Impact factor: 5.349

Review 4.  Physiological determinants of the internesting interval in sea turtles: a novel 'water-limitation' hypothesis.

Authors:  Edwin R Price; Paul R Sotherland; Bryan P Wallace; James R Spotila; Edward M Dzialowski
Journal:  Biol Lett       Date:  2019-06-05       Impact factor: 3.703

Review 5.  Physiological constraints and energetic costs of diving behaviour in marine mammals: a review of studies using trained Steller sea lions diving in the open ocean.

Authors:  David A S Rosen; Allyson G Hindle; Carling D Gerlinsky; Elizabeth Goundie; Gordon D Hastie; Beth L Volpov; Andrew W Trites
Journal:  J Comp Physiol B       Date:  2016-09-29       Impact factor: 2.200

6.  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

7.  DNA metabarcoding and microscopic analyses of sea turtles biofilms: Complementary to understand turtle behavior.

Authors:  Sinziana F Rivera; Valentin Vasselon; Katia Ballorain; Alice Carpentier; Carlos E Wetzel; Luc Ector; Agnès Bouchez; Frédéric Rimet
Journal:  PLoS One       Date:  2018-04-16       Impact factor: 3.240

8.  Resting Metabolic Rate and Lung Function in Wild Offshore Common Bottlenose Dolphins, Tursiops truncatus, Near Bermuda.

Authors:  Andreas Fahlman; Katherine McHugh; Jason Allen; Aaron Barleycorn; Austin Allen; Jay Sweeney; Rae Stone; Robyn Faulkner Trainor; Guy Bedford; Michael J Moore; Frants H Jensen; Randall Wells
Journal:  Front Physiol       Date:  2018-07-17       Impact factor: 4.566

9.  Proxies of energy expenditure for marine mammals: an experimental test of "the time trap".

Authors:  Monique A Ladds; David A S Rosen; David J Slip; Robert G Harcourt
Journal:  Sci Rep       Date:  2017-09-18       Impact factor: 4.379

10.  Dive behaviour can predict metabolic expenditure in Steller sea lions.

Authors:  Elizabeth T Goundie; David A S Rosen; Andrew W Trites
Journal:  Conserv Physiol       Date:  2015-11-26       Impact factor: 3.079

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