Journal article 833 views 81 downloads
Highlighting when animals expend excessive energy for travel using dynamic body acceleration
,
Samantha D. Reynolds,
Jonathan R. Potts,
James Redcliffe,
Mark Holton ,
ABIGAIL BUXTON,
Kayleigh Rose ,
Bradley M. Norman
iScience, Volume: 25, Issue: 9, Start page: 105008
Swansea University Authors:
Rory Wilson , James Redcliffe, Mark Holton , ABIGAIL BUXTON, Kayleigh Rose
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Copyright: 2022 The Authors. This is an open access article under the CC BY license
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DOI (Published version): 10.1016/j.isci.2022.105008
Abstract
Travel represents a major cost for many animals so there should be selection pressure for it to be efficient – at minimum cost. However, animals sometimes exceed minimum travel costs for reasons that must be correspondingly important. We use Dynamic Body Acceleration (DBA), an acceleration-based met...
| Published in: | iScience |
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| ISSN: | 2589-0042 |
| Published: |
Elsevier BV
2022
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa60524 |
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| Abstract: |
Travel represents a major cost for many animals so there should be selection pressure for it to be efficient – at minimum cost. However, animals sometimes exceed minimum travel costs for reasons that must be correspondingly important. We use Dynamic Body Acceleration (DBA), an acceleration-based metric, as a proxy for movement-based power, in tandem with vertical velocity (rate of change in depth) in a shark (Rhincodon typus) to derive the minimum estimated power required to swim at defined vertical velocities. We show how subtraction of measured DBA from the estimated minimum power for any given vertical velocity provides a “proxy for power above minimum” metric (PPAmin), highlighting when these animals travel above minimum power. We suggest that the adoption of this metric across species has value in identifying where and when animals are subject to compelling conditions that lead them to deviate from ostensibly judicious energy expenditure. |
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| Keywords: |
Biological sciences; biomechanics; biophysics |
| College: |
Faculty of Science and Engineering |
| Funders: |
This work was supported through funding provided to BN and SR from the Estate of WV Scott and ECO-CEAN Inc. |
| Issue: |
9 |
| Start Page: |
105008 |