Effects of temperature on sustained swimming performance and swimming kinematics of the chub mackerel Scomber japonicus
Kathryn A. Dickson*,
Jeanine M. Donley
,
Chugey Sepulveda
and
Lisa Bhoopat
Department of Biological Science, California State University
Fullerton, Fullerton, CA 92834, USA
Present address: Marine Biology Research Division, Scripps Institution of
Oceanography, University of California San Diego, La Jolla, CA 92093,
USA
Present address: Anaheim High School, 811 W. Lincoln Avenue, Anaheim, CA
92805, USA

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Fig. 1. Maximum continuous swimming speed (Umax,c)
versus fork length (FL) in chub mackerel (Scomber
japonicus) acclimated to 18°C (open squares) or 24°C (filled
squares) measured at the respective acclimation temperature. The lines are the
best-fitting linear regressions (with coefficients ± S.E.M.):
Umax,c=
(0.168±0.075)FL+(36.6±16.0),
r2=0.33, N=12, P=0.049, at 18°C
(dashed line);
Umax,c=(0.308±0.114)FL+(31.4±22.9),
r2=0.48, N=10, P=0.027, at 24°C
(solid line). At a given FL, Umax,c was significantly
greater at 24°C (ANCOVA; P=0.001), but Umax,c
increased with FL at the same rate at the two temperatures.
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Fig. 4. The mass-specific net cost of transport (COTnet) for chub
mackerel at 18 °C (open squares) and 24 °C (filled squares) as a
function of fish fork length (FL). The lines are the best-fitting
equations: COTnet=-253FL+8387,
r2=0.72, N=12, P<0.001, at 18 °C
(dashed line); COTnet=-31383logFL+46734,
r2=0.48, N=12, P<0.02, at 24 °C
(solid line). At a given fish size, COTnet was greater at 24 than
at 18 °C (ANCOVA; P=0.02), even if the highest point for the 14.0
cm FL mackerel at 24 °C is omitted. Values are means ±
S.E.M.
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Fig. 5. The dependence of tail-beat frequency on both swimming speed and fish fork
length (FL) in chub mackerel at 18 °C (blue plane and symbols)
and 24 °C (green plane and symbols). Each symbol indicates the tail-beat
frequency versus speed data for one individual. The maximum and
minimum values of speed and FL at 18 and 24 °C were used to solve
the multiple regression equation for tail-beat frequency
(Table 2) for the four corners
of each plane. There was no significant effect of temperature on the
relationship between tail-beat frequency and speed and FL (ANCOVA,
P<0.05).
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Fig. 6. The increase in tail-beat amplitude with both swimming speed and fish fork
length (FL) in chub mackerel at 18 °C (blue plane and symbols)
and 24 °C (green plane and symbols). Each symbol indicates the tail-beat
amplitude versus speed data for one individual. The maximum and
minimum values of speed and FL at 18 and 24 °C were used to solve
the multiple regression equation for tail-beat amplitude (cm)
(Table 2) for the four corners
of each plane. There was no significant effect of temperature on the
relationship between tail-beat amplitude and speed and FL (ANCOVA,
P>0.05).
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Fig. 7. The increase in stride length (l) with both swimming speed and
fish fork length (FL) in chub mackerel at 18 °C (blue plane and
symbols) and 24 °C (green plane and symbols). Each symbol indicates the
l versus speed data for one individual. The maximum and minimum
values of speed and FL at 18 and 24 °C were used to solve the
multiple regression equation for stride length
(Table 2) for the four corners
of each plane. There was no significant effect of temperature on the
relationship between l and speed and FL (ANCOVA,
P>0.05).
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Fig. 8. Mean propulsive wavelength ( ) versus fork length
(FL) for individual chub mackerel at 18 °C (open squares) and 24
°C (filled squares). Because there was no significant effect of speed on
, the mean of the propulsive wavelengths at all swimming speeds was
calculated for each individual. Error bars represent ±1 S.E.M. The
lines are the best-fitting linear regressions: =1.11FL-1.32,
r2=0.89, N=9, P<0.001, at 18 °C
(dashed line); =1.09FL+1.32, r2=0.83,
N=12, P<0.001, at 24 °C (solid line). Mean
increases with FL at the same rate at the two temperatures but, at a
given FL, is significantly greater at 24 than at 18 °C
(ANCOVA, P=0.0024).
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© The Company of Biologists Ltd 2002