Partition of aerobic and anaerobic swimming costs and their correlation to tail-beat frequency and burst activity in Sparus aurata

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Partition of aerobic and anaerobic swimming costs and their correlation to tail-beat frequency and burst activity in Sparus aurata. / Steffensen, John Fleng.

2012.

Research output: Contribution to conferenceConference abstract for conferenceResearch

Harvard

Steffensen, JF 2012, 'Partition of aerobic and anaerobic swimming costs and their correlation to tail-beat frequency and burst activity in Sparus aurata'.

APA

Steffensen, J. F. (2012). Partition of aerobic and anaerobic swimming costs and their correlation to tail-beat frequency and burst activity in Sparus aurata.

Vancouver

Steffensen JF. Partition of aerobic and anaerobic swimming costs and their correlation to tail-beat frequency and burst activity in Sparus aurata. 2012.

Author

Steffensen, John Fleng. / Partition of aerobic and anaerobic swimming costs and their correlation to tail-beat frequency and burst activity in Sparus aurata.

Bibtex

@conference{3ebcc4303d3948789004fb99d76673b4,
title = "Partition of aerobic and anaerobic swimming costs and their correlation to tail-beat frequency and burst activity in Sparus aurata",
abstract = "Soc for experimental Biol Annual Meeting - Salzburg 2012Bj{\o}rn Tirsgaard (University of Copenhagen, Denmark) and John FlengSteffensen (University of Copenhagen, Denmark)Aerobic and anaerobic oxygen consumption was measured for 13 Sparusaurata swimming at incremental increasing swimming speeds until fatigueat 10°C. The anaerobic swimming cost was measured as the excess postexerciseoxygen consumption (EPOC) following each swimming speed.To determine tail-beat frequency, amplitude and burst and coast behaviour,the peduncle position was determined at 25 s·' by video tracking.The data showed that S. aurata swam exclusively using aerobicmetabolism up to 88% of their critical swimming speed (Ucrit). Above88% Ucrit' the contribution from the anaerobic swimming cost increasedexponentially and represented 12%, 59% and 70% of the total swimmingcost at 90%, Ucritand fatigue, respectively, and resulted in a total anaerobiccapacity of 170 mg O2 kg·'. Normalized tail-beat amplitude and frequencyboth predicted the swimming speed but only tail-beat frequency was ableto predict the aerobic swimming cost. The change to burst and coastswimming was correlated to the first measurements of EPOC and boththe burst frequency (bursts min·') and burst distance (percentage burstdistance) were found to predict EPOC by linear regressions. The lowtemperature used in the present study resulted in a prolonged recoverytime, which increased with the anaerobic contribution to 10 hours afterfatigue. Due to the late initiation time, the contribution from the anaerobicswimming cost did not affect the optimal swimming speed or the minimumcost of transport. In contrast, the cost of swimming above 88% Ucritincreased by 334% at fatigue.Email addressforcorrespondence:btirsgaard@bio.ku.dk",
author = "Steffensen, {John Fleng}",
year = "2012",
language = "English",

}

RIS

TY - ABST

T1 - Partition of aerobic and anaerobic swimming costs and their correlation to tail-beat frequency and burst activity in Sparus aurata

AU - Steffensen, John Fleng

PY - 2012

Y1 - 2012

N2 - Soc for experimental Biol Annual Meeting - Salzburg 2012Bjørn Tirsgaard (University of Copenhagen, Denmark) and John FlengSteffensen (University of Copenhagen, Denmark)Aerobic and anaerobic oxygen consumption was measured for 13 Sparusaurata swimming at incremental increasing swimming speeds until fatigueat 10°C. The anaerobic swimming cost was measured as the excess postexerciseoxygen consumption (EPOC) following each swimming speed.To determine tail-beat frequency, amplitude and burst and coast behaviour,the peduncle position was determined at 25 s·' by video tracking.The data showed that S. aurata swam exclusively using aerobicmetabolism up to 88% of their critical swimming speed (Ucrit). Above88% Ucrit' the contribution from the anaerobic swimming cost increasedexponentially and represented 12%, 59% and 70% of the total swimmingcost at 90%, Ucritand fatigue, respectively, and resulted in a total anaerobiccapacity of 170 mg O2 kg·'. Normalized tail-beat amplitude and frequencyboth predicted the swimming speed but only tail-beat frequency was ableto predict the aerobic swimming cost. The change to burst and coastswimming was correlated to the first measurements of EPOC and boththe burst frequency (bursts min·') and burst distance (percentage burstdistance) were found to predict EPOC by linear regressions. The lowtemperature used in the present study resulted in a prolonged recoverytime, which increased with the anaerobic contribution to 10 hours afterfatigue. Due to the late initiation time, the contribution from the anaerobicswimming cost did not affect the optimal swimming speed or the minimumcost of transport. In contrast, the cost of swimming above 88% Ucritincreased by 334% at fatigue.Email addressforcorrespondence:btirsgaard@bio.ku.dk

AB - Soc for experimental Biol Annual Meeting - Salzburg 2012Bjørn Tirsgaard (University of Copenhagen, Denmark) and John FlengSteffensen (University of Copenhagen, Denmark)Aerobic and anaerobic oxygen consumption was measured for 13 Sparusaurata swimming at incremental increasing swimming speeds until fatigueat 10°C. The anaerobic swimming cost was measured as the excess postexerciseoxygen consumption (EPOC) following each swimming speed.To determine tail-beat frequency, amplitude and burst and coast behaviour,the peduncle position was determined at 25 s·' by video tracking.The data showed that S. aurata swam exclusively using aerobicmetabolism up to 88% of their critical swimming speed (Ucrit). Above88% Ucrit' the contribution from the anaerobic swimming cost increasedexponentially and represented 12%, 59% and 70% of the total swimmingcost at 90%, Ucritand fatigue, respectively, and resulted in a total anaerobiccapacity of 170 mg O2 kg·'. Normalized tail-beat amplitude and frequencyboth predicted the swimming speed but only tail-beat frequency was ableto predict the aerobic swimming cost. The change to burst and coastswimming was correlated to the first measurements of EPOC and boththe burst frequency (bursts min·') and burst distance (percentage burstdistance) were found to predict EPOC by linear regressions. The lowtemperature used in the present study resulted in a prolonged recoverytime, which increased with the anaerobic contribution to 10 hours afterfatigue. Due to the late initiation time, the contribution from the anaerobicswimming cost did not affect the optimal swimming speed or the minimumcost of transport. In contrast, the cost of swimming above 88% Ucritincreased by 334% at fatigue.Email addressforcorrespondence:btirsgaard@bio.ku.dk

M3 - Conference abstract for conference

ER -

ID: 45042348