Tag-based estimates of bottlenose dolphin swimming behavior and energetics.


Journal

The Journal of experimental biology
ISSN: 1477-9145
Titre abrégé: J Exp Biol
Pays: England
ID NLM: 0243705

Informations de publication

Date de publication:
15 11 2022
Historique:
received: 01 06 2022
accepted: 20 10 2022
pubmed: 4 11 2022
medline: 3 12 2022
entrez: 3 11 2022
Statut: ppublish

Résumé

Current estimates of marine mammal hydrodynamic forces tend to be made using camera-based kinematic data for a limited number of fluke strokes during a prescribed swimming task. In contrast, biologging tag data yield kinematic measurements from thousands of strokes, enabling new insights into swimming behavior and mechanics. However, there have been limited tag-based estimates of mechanical work and power. In this work, we investigated bottlenose dolphin (Tursiops truncatus) swimming behavior using tag-measured kinematics and a hydrodynamic model to estimate propulsive power, work and cost of transport. Movement data were collected from six animals during prescribed straight-line swimming trials to investigate swimming mechanics over a range of sustained speeds (1.9-6.1 m s-1). Propulsive power ranged from 66 W to 3.8 kW over 282 total trials. During the lap trials, the dolphins swam at depths that mitigated wave drag, reducing overall drag throughout these mid- to high-speed tasks. Data were also collected from four individuals during undirected daytime (08:30-18:00 h) swimming to examine how self-selected movement strategies are used to modulate energetic efficiency and effort. Overall, self-selected swimming speeds (individual means ranging from 1.0 to 1.96 m s-1) tended to minimize cost of transport, and were on the lower range of animal-preferred speeds reported in literature. The results indicate that these dolphins moderate propulsive effort and efficiency through a combination of speed and depth regulation. This work provides new insights into dolphin swimming behavior in both prescribed tasks and self-selected swimming, and presents a path forward for continuous estimates of mechanical work and power from wild animals.

Identifiants

pubmed: 36326004
pii: 280539
doi: 10.1242/jeb.244599
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2022. Published by The Company of Biologists Ltd.

Déclaration de conflit d'intérêts

Competing interests The authors declare no competing or financial interests.

Auteurs

Joaquin T Gabaldon (JT)

Robotics Institute, University of Michigan, Ann Arbor, MI 48109, USA.

Ding Zhang (D)

Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.

Julie Rocho-Levine (J)

Dolphin Quest Oahu, Honolulu, HI 96816, USA.

Michael J Moore (MJ)

Marine Mammal Center, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA.

Julie van der Hoop (J)

Marine Mammal Center, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA.

Kira Barton (K)

Robotics Institute, University of Michigan, Ann Arbor, MI 48109, USA.
Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.

K Alex Shorter (KA)

Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.

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