Literature DB >> 15579562

Stroke patterns and regulation of swim speed and energy cost in free-ranging Brünnich's guillemots.

James R Lovvorn1, Yutaka Watanuki, Akiko Kato, Yasuhiko Naito, Geoffrey A Liggins.   

Abstract

Loggers were attached to free-ranging Brünnich's guillemots Uria lomvia during dives, to measure swim speeds, body angles, stroke rates, stroke and glide durations, and acceleration patterns within strokes, and the data were used to model the mechanical costs of propelling the body fuselage (head and trunk excluding wings). During vertical dives to 102-135 m, guillemots regulated their speed during descent and much of ascent to about 1.6+/-0.2 m s(-1). Stroke rate declined very gradually with depth, with little or no gliding between strokes. Entire strokes from 2 m to 20 m depth had similar forward thrust on upstroke vs downstroke, whereas at deeper depths and during horizontal swimming there was much greater thrust on the downstroke. Despite this distinct transition, these differences had small effect (<6%) on our estimates of mechanical cost to propel the body fuselage, which did not include drag of the wings. Work stroke(-1) was quite high as speed increased dramatically in the first 5 m of descent against high buoyancy. Thereafter, speed and associated drag increased gradually as buoyancy slowly declined, so that mechanical work stroke(-1) during the rest of descent stayed relatively constant. Similar work stroke(-1) was maintained during non-pursuit swimming at the bottom, and during powered ascent to the depth of neutral buoyancy (about 71 m). Even with adjustments in respiratory air volume of +/-60%, modeled work against buoyancy was important mainly in the top 15 m of descent, after which almost all work was against drag. Drag was in fact underestimated, as our values did not include enhancement of drag by altered flow around active swimmers. With increasing buoyancy during ascent above 71 m, stroke rate, glide periods, stroke acceleration patterns, body angle and work stroke(-1) were far more variable than during descent; however, mean speed remained fairly constant until buoyancy increased rapidly near the surface. For dives to depths >20 m, drag is by far the main component of mechanical work for these diving birds, and speed may be regulated to keep work against drag within a relatively narrow range.

Entities:  

Mesh:

Year:  2004        PMID: 15579562     DOI: 10.1242/jeb.01331

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


  9 in total

Review 1.  Thermal substitution and aerobic efficiency: measuring and predicting effects of heat balance on endotherm diving energetics.

Authors:  J R Lovvorn
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-11-29       Impact factor: 6.237

2.  Construction of energy landscapes can clarify the movement and distribution of foraging animals.

Authors:  Rory P Wilson; Flavio Quintana; Victoria J Hobson
Journal:  Proc Biol Sci       Date:  2011-09-07       Impact factor: 5.349

3.  Effects of El Niño-driven changes in wind patterns on North Pacific albatrosses.

Authors:  L H Thorne; M G Conners; E L Hazen; S J Bograd; M Antolos; D P Costa; S A Shaffer
Journal:  J R Soc Interface       Date:  2016-06       Impact factor: 4.118

4.  Buoyancy under control: underwater locomotor performance in a deep diving seabird suggests respiratory strategies for reducing foraging effort.

Authors:  Timothée R Cook; Akiko Kato; Hideji Tanaka; Yan Ropert-Coudert; Charles-André Bost
Journal:  PLoS One       Date:  2010-03-23       Impact factor: 3.240

5.  High flight costs, but low dive costs, in auks support the biomechanical hypothesis for flightlessness in penguins.

Authors:  Kyle H Elliott; Robert E Ricklefs; Anthony J Gaston; Scott A Hatch; John R Speakman; Gail K Davoren
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-20       Impact factor: 11.205

6.  Surfacing behavior and gas release of the physostome sprat (Sprattus sprattus) in ice-free and ice-covered waters.

Authors:  Ingrid Solberg; Stein Kaartvedt
Journal:  Mar Biol       Date:  2013-10-04       Impact factor: 2.573

7.  Modelling foraging movements of diving predators: a theoretical study exploring the effect of heterogeneous landscapes on foraging efficiency.

Authors:  Marianna Chimienti; Kamil A Bartoń; Beth E Scott; Justin M J Travis
Journal:  PeerJ       Date:  2014-09-11       Impact factor: 2.984

8.  The use of an unsupervised learning approach for characterizing latent behaviors in accelerometer data.

Authors:  Marianna Chimienti; Thomas Cornulier; Ellie Owen; Mark Bolton; Ian M Davies; Justin M J Travis; Beth E Scott
Journal:  Ecol Evol       Date:  2016-01-11       Impact factor: 2.912

9.  Alcids 'fly' at efficient Strouhal numbers in both air and water but vary stroke velocity and angle.

Authors:  Anthony B Lapsansky; Daniel Zatz; Bret W Tobalske
Journal:  Elife       Date:  2020-06-30       Impact factor: 8.140

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.