Literature DB >> 21075949

Behaviour and buoyancy regulation in the deepest-diving reptile: the leatherback turtle.

Sabrina Fossette1, Adrian C Gleiss, Andy E Myers, Steve Garner, Nikolai Liebsch, Nicholas M Whitney, Graeme C Hays, Rory P Wilson, Molly E Lutcavage.   

Abstract

In the face of the physical and physiological challenges of performing breath-hold deep dives, marine vertebrates have evolved different strategies. Although behavioural strategies in marine mammals and seabirds have been investigated in detail, little is known about the deepest-diving reptile - the leatherback turtle (Dermochelys coriacea). Here, we deployed tri-axial accelerometers on female leatherbacks nesting on St Croix, US Virgin Islands, to explore their diving strategy. Our results show a consistent behavioural pattern within dives among individuals, with an initial period of active swimming at relatively steep descent angles (∼-40 deg), with a stroke frequency of 0.32 Hz, followed by a gliding phase. The depth at which the gliding phase began increased with the maximum depth of the dives. In addition, descent body angles and vertical velocities were higher during deeper dives. Leatherbacks might thus regulate their inspired air-volume according to the intended dive depth, similar to hard-shelled turtles and penguins. During the ascent, turtles actively swam with a stroke frequency of 0.30 Hz but with a low vertical velocity (∼0.40 ms(-1)) and a low pitch angle (∼+26 deg). Turtles might avoid succumbing to decompression sickness ('the bends') by ascending slowly to the surface. In addition, we suggest that the low body temperature of this marine ectotherm compared with that of endotherms might help reduce the risk of bubble formation by increasing the solubility of nitrogen in the blood. This physiological advantage, coupled with several behavioural and physical adaptations, might explain the particular ecological niche the leatherback turtle occupies among marine reptiles.

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Year:  2010        PMID: 21075949     DOI: 10.1242/jeb.048207

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


  9 in total

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Authors:  B Gabriela Arango; Martha Harfush-Meléndez; José Alejandro Marmolejo-Valencia; Horacio Merchant-Larios; Daniel E Crocker
Journal:  J Comp Physiol B       Date:  2020-10-16       Impact factor: 2.200

2.  Measuring energy expenditure in sub-adult and hatchling sea turtles via accelerometry.

Authors:  Lewis G Halsey; T Todd Jones; David R Jones; Nikolai Liebsch; David T Booth
Journal:  PLoS One       Date:  2011-08-04       Impact factor: 3.240

3.  Dispersal and Diving Adjustments of the Green Turtle Chelonia mydas in Response to Dynamic Environmental Conditions during Post-Nesting Migration.

Authors:  Philippine Chambault; David Pinaud; Vincent Vantrepotte; Laurent Kelle; Mathieu Entraygues; Christophe Guinet; Rachel Berzins; Karin Bilo; Philippe Gaspar; Benoît de Thoisy; Yvon Le Maho; Damien Chevallier
Journal:  PLoS One       Date:  2015-09-23       Impact factor: 3.240

4.  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

5.  Accelerometers identify new behaviors and show little difference in the activity budgets of lactating northern fur seals (Callorhinus ursinus) between breeding islands and foraging habitats in the eastern Bering Sea.

Authors:  Brian C Battaile; Kentaro Q Sakamoto; Chad A Nordstrom; David A S Rosen; Andrew W Trites
Journal:  PLoS One       Date:  2015-03-25       Impact factor: 3.240

6.  Analysis of risk factors associated with gas embolism and evaluation of predictors of mortality in 482 loggerhead sea turtles.

Authors:  D Franchini; C Valastro; S Ciccarelli; P Trerotoli; S Paci; F Caprio; P Salvemini; A Lucchetti; A Di Bello
Journal:  Sci Rep       Date:  2021-11-22       Impact factor: 4.379

7.  Estimation of the Maternal Investment of Sea Turtles by Automatic Identification of Nesting Behavior and Number of Eggs Laid from a Tri-Axial Accelerometer.

Authors:  Lorène Jeantet; Vadym Hadetskyi; Vincent Vigon; François Korysko; Nicolas Paranthoen; Damien Chevallier
Journal:  Animals (Basel)       Date:  2022-02-20       Impact factor: 2.752

8.  Hydrodynamic role of longitudinal dorsal ridges in a leatherback turtle swimming.

Authors:  Kyeongtae Bang; Jooha Kim; Sang-Im Lee; Haecheon Choi
Journal:  Sci Rep       Date:  2016-10-03       Impact factor: 4.379

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

Authors:  Lorène Jeantet; Víctor Planas-Bielsa; Simon Benhamou; Sebastien Geiger; Jordan Martin; Flora Siegwalt; Pierre Lelong; Julie Gresser; Denis Etienne; Gaëlle Hiélard; Alexandre Arque; Sidney Regis; Nicolas Lecerf; Cédric Frouin; Abdelwahab Benhalilou; Céline Murgale; Thomas Maillet; Lucas Andreani; Guilhem Campistron; Hélène Delvaux; Christelle Guyon; Sandrine Richard; Fabien Lefebvre; Nathalie Aubert; Caroline Habold; Yvon le Maho; Damien Chevallier
Journal:  R Soc Open Sci       Date:  2020-05-13       Impact factor: 2.963

  9 in total

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