Page 1
PRIMARY RESEARCH PAPER
Sinusoidal swimming in fishes: the role of season,density of large zooplankton, fish length, timeof the day, weather condition and solar radiation
Oldrich Jarolım • Jan Kubecka • Martin Cech •
Mojmır Vasek • Jirı Peterka • Josef Matena
Received: 18 February 2010 / Revised: 7 July 2010 / Accepted: 27 July 2010 / Published online: 12 August 2010
� Springer Science+Business Media B.V. 2010
Abstract The sinusoidal swimming of fish, previ-
ously interpreted as foraging behaviour, was studied
with respect to season, density of large zooplankton,
fish length, time of the day, weather condition and
solar radiation in Rımov Reservoir, Czech Republic,
using a bottom-mounted, split-beam transducer (7�,
nominal angle; frequency 120 kHz). The proportion
of sinusoidally swimming fish increased from April
to August while this behaviour was absent in
October. The occurrence of sinusoidal swimming
showed an apparent pattern throughout the day; it
increased sharply around sunrise, was highest within
5–6 h around solar noon, and sharply decreased
around sunset. Significantly less frequent occurrence
of sinusoidal swimming was recorded during cloudy
days compared to sunny days. The vast majority of
records came from fish of standard length ranging
from 100 to 400 mm, which represents the typical
size range of common bream Abramis brama and
roach Rutilus rutilus of age [1?, the main zoo-
planktivores in the reservoir. The presence of these
larger fish in the open water of the reservoir, as well
as the presence of sinusoidal swimming, apparently
correlates with the presence of large zooplankton
(Daphnia, Leptodora and Cyclops vicinus) in the
epilimnion. The increase of sinusoidal swimming
between April, June and finally August resulted in an
increase of zooplankton component in fish guts. It
appears that high values of solar radiation, and stable
calm weather during high pressure periods, result in
optimal optical conditions for sinusoidal swimming,
making this foraging behaviour more efficient and
widely used in fishes exploiting the zooplankton
production in the reservoir.
Keywords Common bream Abramis brama �Daphnia � Echosounder � Leptodora � Roach Rutilus
rutilus � Rımov Reservoir � Sonar5
Introduction
The mode of swimming of a fish has consequences
for its ability to escape from predators or unfavour-
able environmental conditions and its reproductive
behaviour, as well as its foraging (Wootton, 1998).
With respect to swimming patterns and locomotion
of fish, it is generally assumed that there are indi-
vidual modes of straight swimming (Lindsey, 1978;
Webb, 1984a, b; Videler, 1993), i.e. swimming in a
Handling editor: Luiz Carlos Gomes
O. Jarolım � J. Kubecka � M. Cech (&) �M. Vasek � J. Peterka � J. Matena
Biology Centre, Academy of Sciences of the Czech
Republic, Institute of Hydrobiology, Na Sadkach 7,
370 05 Ceske Budejovice, Czech Republic
e-mail: [email protected]
123
Hydrobiologia (2010) 654:253–265
DOI 10.1007/s10750-010-0398-1
Page 2
horizontal plane. Much less attention has been paid to
fish swimming in a vertical plane represented by, e.g.
gliding swimming patterns (Weihs, 1973, 1974) or
sinusoidal swimming patterns (Cech & Kubecka,
2002).
Haberlehner (1988) was the first to notice roach
Rutilus rutilus swimming up-and-down and consum-
ing plankton in a backwater of the Danube (SCUBA
diving observation). Cech & Kubecka (2002) first
described the term ‘sinusoidal swimming’ on the
basis of stationary uplooking acoustic data from the
open water of Rımov Reservoir, Czech Republic
(North Sea-drainage area). This term was used
because the trajectories of ‘sinusoidally swimming’
pelagic fishes resembled a regular sinusoidal curve
when displayed on the echogram (Fig. 1). The
patterns of change in target strength (TS; Simmonds
& MacLennan, 2005) revealed that the sinusoidal
swimming is an active swimming mechanism, rather
than a mechanism based on swim-bladder volume
changes, comprising tilting of the fish’s body during
the ascending and descending phase of a sinusoidal
cycle. The average amplitude of a sinusoidal cycle
(distance between the uppermost and the lowermost
positions of the sinusoidal movement curve) was ca.
1 m and the average frequency of cycling was nearly
4 cycles min-1.
Sinusoidal swimming was detected during all
observations from June to August and 83% of the
fish [100 mm standard length (LS) exhibited this
behaviour. This movement pattern was not observed
in November. A smaller data set from May showed
less intense occurrence of sinusoidal swimming in the
open water, mainly because of coincidence with
the spawning of the dominant cyprinid species in the
reservoir (Cech & Kubecka, 2002). Sinusoidal swim-
ming was also closely dependent on time of day and
weather conditions. It started after sunrise and was
replaced by straight swimming before sunset. Sinu-
soidal swimming was never observed during the night
(Cech & Kubecka, 2002) or during extremely bad
weather (heavy rain, storms, strong winds; Cech,
pers. observation).
Following the work of Janssen (1981, 1982) and
Thetmayer & Kils (1995) dealing with visual fish
feeding, and considering the above findings, it has
been argued that sinusoidal swimming is an efficient
method for fish visually searching for prey, mainly
large zooplankton (Daphnia, Leptodora), whose spa-
tial distribution in Rımov Reservoir is patchy in
summer (foraging behaviour; Cech & Kubecka,
2002). Daphnia and Leptodora are the most important
prey items of adult cyprinid species occupying the
open water of the reservoir in summer (Vasek et al.,
2003; Vasek & Kubecka, 2004; Vasek et al., 2008).
These two cladocerans are highly preferred in the diet
of the larger common bream Abramis brama and of
roach, the main zooplanktivores in Rımov Reservoir,
having Ivlev electivity indices of 0.68–0.95 (Cech &
Kubecka, 2002).
The present study is focused on sinusoidal swim-
ming with respect to the time of year, weather
conditions, solar radiation and the presence of juvenile
and adult fish in the open water of Rımov Reservoir,
from which this unique behaviour was first reported in
detail. The main questions were: (1) Is the sinusoidal
swimming widely used in fishes only during summer or
could it be observed similarly through the spring and in
early fall? (2) Does the proportion of sinusoidally
swimming fish in the open water fish stock as well as
the total abundance and biomass of the open water fish
stock increased during late spring and summer com-
pared to early spring? (3) Is this increase to any extent
correlated to the abundance of large zooplankton and
its species composition? (4) Is the sinusoidal swim-
ming really performed only by a specific size cohort of
fish (136–359 mm LS; according to Cech & Kubecka,
2002) or is it also widely used by both smaller and
larger fish? (5) Is the sinusoidal swimming influenced
by weather conditions and intensity of solar radiation
(i.e. by optical conditions), or is the number of fish
performing this behaviour independent of those abiotic
factors?
1
3
5
79
11
13
15
17
19
Dep
th (m
)
sinusoidal
'uncertain'
straight
Fig. 1 An example of sinusoidal, ‘uncertain’ and straight
trajectories of fish swimming in a vertical plane (raw 40 LogR
TVG uplooking echogram)
254 Hydrobiologia (2010) 654:253–265
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Methods
Study area
The study was carried out in the meso- to eutrophic
Rımov Reservoir, Czech Republic (48�500N, 14�290E;
170 km south of Prague), which has an area of 210 ha
and maximum surface elevation of 471 m a.s.l. The
maximum depth of the reservoir is 45 m and the
volume 33.6 millions m3 (Seda et al., 2000). This
dimictic reservoir is inhabited by 30 species of fish,
five of which, common bream, roach, bleak Alburnus
alburnus, perch Perca fluviatilis and ruff Gymno-
cephalus cernuus, have the highest ecologically
relevant abundances. The reservoir has had a stable
fish composition, with a relatively low proportion of
predatory fish, since 1988–1989 when a percid phase
was replaced by a cyprinid phase (Seda & Kubecka,
1997; Rıha et al., 2009).
Sampling
A scientific echosounder, Simrad EY 500, along with
an ES 120-7G circular split-beam transducer (nom-
inal angle 7.1�) was used for obtaining the data.
Signal frequency was 120 kHz, pulse length 0.1 ms,
pulse interval 0.2 s and output power 63 W. As in the
previous work of Cech & Kubecka (2002), the
uplooking transducer was placed at a depth of 38 m
ca. 1 m above the bottom, in the lacustrine part of the
reservoir near the course of the old Malse River
(for location see Vasek et al., 2008). The transceiver
and PC were placed 80 m away from the study area
in the enclosed floating boat shed.
The echosounder was continually in operation
from April to October 2005. Four limnologically
distinctive periods were chosen for further analysis:
(1) the beginning of spring stratification (14–16
April); (2) the clear-water phase (30 May–5 June); (3)
the summer maximum of phytoplankton and zoo-
plankton (8–12 August) from which there is a
comparable data set from a previous study of Cech
& Kubecka (2002); (4) the beginning of autumn
mixing (12–14 October). During all these periods,
there was stable, sunny weather, except in June and
August when sunny days alternated with cloudy days.
Simultaneously with the acoustic observations,
fish were sampled using a series of Nordic multi-
mesh gillnets (epi-, meso- and bathypelagic nets
4.5 m high, 16 panels 2.5 m wide each, mesh size
from knot to knot 5.5, 6, 8, 10, 12.5, 16, 19.5, 24, 29,
35, 43, 55, 70, 90, 110, 135 mm) and a purse seine
(120 m long, 12 m deep, front/mid/rear mesh size
6/8/10 mm; used in August only) (Vasek et al.,
2008). Gillnets were installed 2 h before the sunset
and lifted 2–3 h after the sunset on each sampling
occasion. The exposition time throughout sunset was
chosen on the basis of previous studies that found
increased gillnet catchability at twilight period
(Vasek et al., 2009) and gut fullness of planktivorous
fish markedly higher during the day and evening than
in the morning and at night (Vasek & Kubecka,
2004). Extensive purse seining was performed during
daylight hours (noon–evening). In total, 850 fish were
captured by gillnets and 182 fish were captured using
purse seine. Fish B200 mm LS were immediately
anesthetised in MS 222 (500 mg l-1; left in the
solution for 10 min), identified to the species, mea-
sured to the nearest 5 mm LS and transferred into
10% formaldehyde solution. Fish [200 mm LS were
killed by overdosing in MS 222 (1 g l-1; left in the
solution for 10 min), dissected immediately and only
their guts were preserved in 5% formaldehyde for
later processing (Vasek et al., 2008). The death of all
fish prior to immersion into the formaldehyde or prior
to dissection was assured by decapitation.
Zooplankton was collected by duplicate vertical net
hauls (net diameter 20 cm, mesh size 200 lm) drawn
through 5–0 m depth, which approximately corre-
sponded to the extent of the epilimnion during the
periods studied (Vasek et al., 2008). These gillnet,
purse seine and diet data, along with information on the
density and composition of the reservoir zooplankton,
have been described elsewhere (Vasek et al., 2008).
The acoustic records were processed by Sonar5 Pro
post-processing software. A total of 5,898 fish were
manually tracked, i.e. echoes were combined into
tracks and counted, since automatic tracking was not
able to distinguish individual fish when their trajec-
tories overlapped (Balk & Lindem, 2000). The TS
threshold was set to -56 dB. Time of day, depth in the
water column, TS, trajectory shape and change of
vertical range were recorded for individual fish. Three
basic types of fish swimming trajectories in the
vertical plane were distinguished—sinusoidal, straight
and ‘uncertain’. Sinusoidal swimming was defined as
swimming along the trajectory that resembled a
sinusoid curve with at least one full sinusoidal cycle
Hydrobiologia (2010) 654:253–265 255
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on the echogram (Cech & Kubecka, 2002). A straight
trajectory (straight swimming) resembled a straight
line with no apparent change of vertical range.
Sometimes the fish trajectory was classified as
‘uncertain’ in cases when it was not swimming
sinusoidally (no regular up-and-down movement)
but did seem to change its vertical range (‘uncertain’
swimming; Fig. 1). Fish trajectories shorter than 15 s
(ca. the average duration of one single sinusoidal cycle
according to Cech & Kubecka, 2002; 586 trajectories
in total) were excluded from further analysis to
minimise misinterpretation of sinusoidal and ‘uncer-
tain’ trajectories. In total (day and night, April to
October records), 2,496 straight trajectories, 941
‘uncertain’ trajectories and 1,875 sinusoidal trajecto-
ries were included into individual analyses.
Vertical profiles of temperature (�C) and dissolved
oxygen (mg l-1) were measured with a calibrated
OXI 196 probe (WTW, Germany). Meteorological
data were recorded by an HBI meteorological probe
MS16 (Fiedler-Magr, Czech Republic), which com-
prises a global radiation probe GR01, temperature
probe HST005 and rain gauge SR02. Global radiation
(GR, in W m-2), comprised of direct radiation,
reflected radiation from the ground and diffused
radiation of the visible spectrum (Gjelland et al.,
2004), was used for defining day and night. The time
interval when GR = 0 W m-2 was defined as sunrise/
sunset, GR [ 0 W m-2 corresponds to day (daylight
hours).
Calculations and statistics
The LS of fish was calculated from the acoustic TS by
using the formula:
LS ¼ 10 TS�mð Þ=n; ð1Þ
where n = 19.65, m = -92.8; ventral aspect (Fro-
uzova et al., 2005). For sinusoidally swimming fish
only TS readings in the uppermost and lowermost
positions of the sinusoidal cycle, when the fish are not
tilted, were considered (Cech & Kubecka, 2002).
Weights of fish were calculated using the length–
weight relationship:
W ¼ a� LbS; ð2Þ
where a = 1.0943 9 10-5, b = 3.1387. Parameters
a and b were obtained from length–weight
relationships for common bream and roach caught
in Rımov Reservoir in 2005. Those two cyprinids
made up the majority of the pelagic fish stock that
year (Peterka et al., 2007). Biomass of fish was
calculated for each hour using the formula:
B ¼ W � N � t
S� 10; ð3Þ
where B is total biomass (kg ha-1), W is hourly
averaged fish weight (g), N is the number of
observations per h, S is water surface area covered
by the acoustic beam (m2), t is the average time spent
in the beam (s) and 10 is the coefficient for correction
to kg ha-1.
Abundance of fish (ind. ha-1) was computed as:
A ¼ B
W: ð4Þ
The role of season and density of large zooplankton
The data were tested using regression analysis
[course of (1) fish abundance, (2) fish biomass and
(3) proportion of sinusoidal fish in the open water of
Rımov Reservoir from April to August; course of the
mass of zooplankton in the contents of fish guts from
April to August] and t test (depth distribution of
sinusoidally compared to straight swimming fish).
The role of time of the day and fish length
The data were tested using ANOVA (proportion of
juvenile fish in the open water fish stock during day
compared to night; comparison of LS of sinusoidal
fish during individual periods of the year) and
Wilcoxon rank sum test (size composition of the
stock of sinusoidally compared to straight swimming
fish).
The role of time of the day, weather condition
and solar radiation
The difference in percentage of sinusoidal fish during
sunny compared to cloudy days in June and August
was tested using t test.
Time series analyses were performed in R (a free
software environment for statistical computing; pack-
age stats version 2.7.0). A seasonal-trend decompo-
sition procedure, based on the loess model (STL,
nonparametric analogy of Fourier analysis; see
256 Hydrobiologia (2010) 654:253–265
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Becker et al., 1988; Cleveland et al., 1990), was
applied. The seasonal component (originally Sv;
Cleveland et al., 1990) was substituted by the daily
trend component (Dv). The trend component (origi-
nally Tv; Cleveland et al., 1990) was substituted by
the general trend component (GTv). Remainders
(originally Rv; Cleveland et al., 1990) were substi-
tuted by residuals (Rv). Raw data (Yv) are equal to the
sum of all components (the original equation in
Cleveland et al., 1990, was adapted with regard to
changes in names of individual components):
Yv ¼ GTv þ Dv þ Rv: ð5ÞThe model worked on the basis of iterations (two
inner iterations were used), when the significances of
all fitted elements were compared with each other and
with the variability of the residuals. R functions, ts
(with argument freq equal to 24) and stl (with
argument s.window equal to ‘periodic’ and argument
t.window equal to 6), were used to create and plot
time series.
All regression analyses, ANOVAs, Wilcoxon rank
sum tests and t tests were performed in Statistica
(StatSoft).
Results
The role of season and density of large
zooplankton
The acoustic abundance of fish as well as their
acoustic biomass in the open water of Rımov Reser-
voir steadily increased from April to August (regres-
sion analysisday abundance; F1,11 = 5.12, r2 = 0.32,
P \ 0.05; regression analysisday biomass; F1,11 =
26.68, r2 = 0.71, P \ 0.001; Fig. 2a, b). The only
exceptions were the nights in June when very low
abundance, and biomass of fish was recorded (coin-
cidence with intensive bream spawning events in the
littoral zone). There were also very few fish in
October in the open water, especially the daytime
abundance and biomass was very low (over 8 times
lower abundance and 16 times lower biomass com-
pared to August).
The temperature profiles showed sharp stratifica-
tion in April, June and August with an apparent
thermocline shallower than 10 m and relatively
weak temperature stratification in October with a
thermocline below 25 m. A lack of dissolved oxygen
in the deepest strata was recorded in all months studied
except April, but in all periods the oxygen values were
lower in the thermocline compared to the epilimnetic
layers. The water transparency was highest during the
clear-water phase at the beginning of June (Fig. 3).
Daphnia dominated the reservoir zooplankton in
late May/early June (28.8 ind. l-1) and in August
(31.7 ind. l-1). The density of Leptodora peaked in
August (0.6 ind. l-1). In April, large cladoceran
species were almost absent from the reservoir
(0.4 ind. l-1), but they were partly replaced by larger,
early-spring cyclopoid copepods (14.6 ind. l-1)
mostly Cyclops vicinus. In October, both large
cladocerans and cyclopoid copepods had almost
vanished from the open water of the reservoir
(2.5 ind. l-1) (for more details see Vasek et al., 2008).
0
50
100
150
200
250
300
350
400
Abu
nd
ance
[in
d. h
a-1
h-1
]
0
50
100
150
200
250
April June August October
Bio
mas
s [k
g h
a-1
h-1
]
(a)
(b)
Fig. 2 a Abundance (mean ? SD) and b biomass
(mean ? SD) of all fish during (square) day and (filled square)
night in April, June, August and October 2005 in the open
water of Rımov Reservoir
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The proportion of sinusoidal fish clearly increased
from April to August (regression analysisall fish;
F1,11 = 10.82, r2 = 0.50, P \ 0.01). On the other
hand, this swimming behaviour was almost absent in
October (Fig. 4a–f). The increase in the occurrence of
sinusoidal swimming between April, June and,
finally, August resulted in an increase of zooplankton
in the contents of fish guts (regression analyses;
F1,90 = 41.10, P \ 0.001, combining simultaneous
data from this study and Vasek et al., 2008).
The mean depths of the fish trajectories during the
day differed between the sinusoidally and straight
swimming fish in April (t test; df = 555, P \ 0.001)
and in August (t test; df = 1,246, P \ 0.001), and at
both these times, the sinusoidally swimming fish
were higher in the water column (i.e. closer to the
water surface), whereas the depths were not signif-
icantly different in June (t test; df = 1,780,
P = 0.95) (Fig. 5). All the time, the vast majority
of sinusoidally swimming fish (�90%) occurred in
the epilimnion.
The role of time of the day and fish length
The sinusoidal swimming pattern was observed
throughout the day and in both larger (LS [ 100 mm;
Fig. 4a, b) and small fish (LS B 100 mm; Fig. 4c, d).
However, the vast majority of sinusoidal trajectories
were sourced from larger fish and day records (95.8%
of all observations; Fig. 6a–h). A few fish (51
individuals; sum of all April, June, August and
October records) continued swimming sinusoidally
after sunset. This behaviour was observed in 21
individuals up to 20 min after sunset and in 22
individuals up to 1 h after sunset. Sinusoidal swim-
ming was observed not any longer than 80 min after
sunset. No such swimming trajectory was observed
before sunrise.
The length frequency distributions in April showed
a distinct peak of 1? fish [2004 year class (YC);
Fig. 6a, b]. The situation was very similar in the June
records (Fig. 6c, d), while August records showed the
appearance of 0? fish in the open water (2005 YC;
Fig. 6e, f). Those 0? fish clearly dominated both day
and night records in October (Fig. 6g, h). The
proportion of small fish (LS B 100 mm) in the open
water fish stock was higher at night than during the
day (ANOVA; F1,11 = 3.52, P \ 0.01). No peak of
0? fish was observed in April because there were no
0? fish, while in June the reason for the lack of a 0?
peak is the fact that 0? fish were probably too small
and they fell below the acoustic threshold (cf. Cech
et al., 2005; Cech & Kubecka, 2006).
Fish with sinusoidal swimming patterns comprised
the majority of observations of individuals LS C
200 mm during the day (53.8% in April, 75.4% in
June and 75.9% in August). The proportion of fish of
LS \ 200 mm with a sinusoidal swimming mode
noticeably increased in August. The LS of sinusoidal
fish differed significantly between individual months
(ANOVA; F3,1872 = 12.82, P \ 0.001), being on
average 243 mm (min–max 49–718 mm) in April,
295 mm (min–max 55–783 mm) in June and 237 mm
(min–max 90–512 mm) in August. The size compo-
sitions of the samples of sinusoidally swimming fish
and straight swimming fish differed significantly in
0
10
20
30
0 5 10 15 20 5 10 15 205 10 15 205 10 15 200 0 0
(a) (b) (c) (d)
S. depth1.5 m
S. depth5.0 m
S. depth1.5 m
S. depth3.1 m
Dep
th [m
]
T [oC] O2 [mg l-1]
Fig. 3 Comparison of the
vertical distribution of
temperature (solid line) and
dissolved oxygen (dashedline) measured during the
noon period in Rımov
Reservoir in a April, b June,
c August and d October
2005. The transparency, as
Secchi disc depth, is given
for each sampling period
258 Hydrobiologia (2010) 654:253–265
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April (Wilcoxon rank sum test; W = 37,426, P \0.001), in June (Wilcoxon rank sum test; W =
498,406, P \ 0.001) and in August (Wilcoxon rank
sum test; W = 206,870, P \ 0.001). Sinusoidally
swimming fish were always larger than straight
swimming fish (60–130 mm LS difference, indicating,
however, more likely difference in foraging cohort
membership than difference in species identity). The
October data were not tested because of the lack of
sinusoidal trajectories (only two records of sinusoi-
dally swimming fish).
The role of time of the day, weather condition
and solar radiation
The proportion of sinusoidal trajectories in a
sum of trajectories of ‘potentially sinusoidal’ fish
0%
20%
40%
60%
80%
100%
0%
20%
40%
60%
80%
100%
0%
20%
40%
60%
80%
100%
April June August October April June August October
n=465 n=1363 n=1038 n=46
n=209 n=756 n=430 n=83
n=674 n=2119 n=1468 n=129
n=38 n=29 n=149 n=124
n=104 n=90 n=349 n=39
n=142 n=119 n=498 n=163
(a)
(f)(e)
(d)(c)
(b)Fig. 4 Composition of
individual types of fish
swimming trajectories
(white square straight,
gray-shaded square‘uncertain’ and blacksquare sinusoidal) in the
open water of Rımov
Reservoir during individual
months. a Day: larger fish
(LS [ 100 mm), b night:
larger fish (LS [ 100 mm),
c day: small fish
(LS B 100 mm), d night:
small fish (LS B 100 mm),
e day: all fish, f night: all
fish
Apr
il -
sin
Apr
il -
str
June
- s
in
June
- s
tr
Aug
ust -
sin
Aug
ust -
str
0
5
10
15
20
25
Dep
th [m
]
Fig. 5 Mean depths of sinusoidal (sin) and straight swimming
fish (str) during the day in April, June and August in the open
water of Rımov Reservoir. Plots = the median, 10th, 25th,
75th and 90th percentiles as vertical boxes with error bars and
(circle) outliers
Hydrobiologia (2010) 654:253–265 259
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[LS [ 100 mm, depth B4 m according to Cech &
Kubecka (2002)] showed an apparent pattern
throughout the day in April, June and August; it
increased sharply around sunrise, was highest
within 5–6 h around solar noon, and sharply
decreased around sunset (Fig. 7). This pattern
was described by a sigmoidal model (Eq. 6), which
in all cases explained more than 59% of the
variability:
s ¼ a
1� e�x�x0
bð Þ; ð6Þ
where x represents time shift from solar noon, x0
corresponds to time shift from solar noon when GR =
0 W m-2 (i.e. sunrise/sunset), b determines slope of
the curve, a indicates maximum % of sinusoidally
swimming fish during solar noon and s shows calcu-
lated % of sinusoidally swimming fish at a given time.
N
0
5
10
15
20
25
30
35
N
00 100 200 300 400 500 600 0 100 200 300 400 500 600
5
10
15
20
25
30
35
N
0
10
20
30
40
50
60
N
0
10
20
30
40
50
60
70
1+ 1+
N
0
5
10
15
20N
0
20
40
60
80
100
120
140
1+ 1+
N
0
20
40
60
80
100
120
N
020406080
100120140160180200
+0+0
(b)(a)
(d)(c)
(f)(e)
(g) (h)
0+0+
L s (mm)
Fig. 6 Frequency
distributions of standard
length (LS) of fish with
(filled square) sinusoidal
and (square) straight
swimming patterns during
day and night in April
(a, b), June (c, d), August
(e, f) and October (g, h).
Note that sinusoidal
swimming was negligible in
October—only 0.63% of all
fish performed this
behaviour. Day records
(a, c, e, g), night records
(b, d, f, h). Very small 0?
fish in October (smaller
than in August) came from
a portional spawning of
common bream and bleak in
July (M. Vasek, pers.
observation) or these are
smallest individuals of
pelagic 0? perch, still prior
to their final migration
into the littoral zone (Cech
& Kubecka, 2006; Vasek
et al., 2006)
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The percentage of sinusoidal fish during the day
was dependent on weather conditions (amount of
clouds, surface global radiation). Fish performed
sinusoidal swimming preferentially during sunny
days in June and August (62 and 78% of fish swam
sinusoidally) rather than during cloudy days in June
and August (30 and 42% of fish swam sinusoidally)
(t testJune; df = 66, P \ 0.01; t testAugust; df = 44,
P \ 0.01; Fig. 8). The similarity between daily
trends and the general trend of GR and % of
sinusoidal fish was highly apparent. There was a
decline of both GR and % of sinusoidal fish during
the cloudy days.
Discussion
The presence of larger fish (LS [ 100 mm) in the
open water of Rımov Reservoir, as well as the
occurrence of sinusoidal swimming, apparently cor-
relates with the presence of large zooplankton
(Cladocera) in the epilimnion. Daphnia dominated
the reservoir zooplankton in late May/early June and
in August, while the density of Leptodora, the largest
zooplankter in the reservoir open water, peaked in
August (Vasek et al., 2008). At the same time, 60.3
and 64.9% of fish were observed to be swimming
sinusoidally. In April, large cladoceran species were
almost absent from the reservoir, but they were partly
replaced by larger, early-spring cyclopoid copepods
mostly Cyclops vicinus (Vasek et al., 2008). Still,
42.4% of the fish were performing sinusoidal swim-
ming. In contrast, in October both large cladocerans
and cyclopoid copepods had almost vanished from
the open water of the reservoir (Vasek et al., 2008).
At the same time, there were very few larger fish in
the open water and sinusoidal swimming had almost
ceased (\5% of trajectories). The extremely low
occurrence of sinusoidal swimming in October cor-
responds with previous findings of Cech & Kubecka
(2002) from November, when no fish were observed
using this movement pattern.
In their previous work, Cech & Kubecka (2002)
argued that sinusoidal swimming in fishes relates to
planktivory since the period of sinusoidal swimming
coincided with the period of intensive feeding
on zooplankton, mainly Daphnia and Leptodora.
Thetmayer & Kils (1995) have shown that the
0
20
40
60
80
100%
of s
inus
oida
l fis
h
0
20
40
60
80
100
0 2 4 6 8 10 120
20
40
60
80
100
x0=6.80
x0=7.70
x0 =6.90
(a)
(b)
(c)
Time shift from noon [h]
Fig. 7 The relationship between the percentage of sinusoidal
fish in the open water of Rımov Reservoir and the time shift
from solar noon (noon is shown as 0 h, i.e. 13 h of Central
European summer time) in a April, b June and c August. Each
point represents the hourly average of each processed day. The
vertical dotted line demonstrates both sunrise and sunset,
which well corresponds to the inflection point of the curve.
Note that, e.g. 6 h means both 7 and 19 h of Central European
summer time and that the biggest change in sinusoidal
swimming occurred directly around sunrise and sunset. The
sigmoidal relationship was highly significant for all tested
months (regression analysisApril; F1,56 = 40.68, r2 = 0.59, P \0.001; regression analysisJune; F1,125 = 110.55, r2 = 0.64,
P \ 0.001; regression analysisAugust; F1,76 = 181.90, r2 =
0.83, P \ 0.001)
Hydrobiologia (2010) 654:253–265 261
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transparency of zooplankton found in open water is
an excellent strategy for staying invisible to horizon-
tally scanning eyes. However, planktonic prey might
appear more visible against the bright light of the sky
(darker due to absorbance at the opaque parts of the
body) or dark depths (brighter due to light scattered
in their tissue) compared with the less contrasting
background directly in front of fishes swimming in a
horizontal plane (Janssen, 1981, 1982; Lazzaro,
1987; Thetmayer & Kils, 1995). During the ascend-
ing and descending phase of the sinusoidal cycle
(ca. 75% of total swimming time), the fish tilts its
body to 30� compared to the horizontal plane, i.e.
facing towards the surface when ascending and
towards the bottom when descending in the water
column (Cech & Kubecka, 2002). This tilt of the fish
body is not far from an optimal attack angle when
even transparent prey is clearly visible to the predator
(Thetmayer & Kils, 1995).
Using an underwater camera in the open water of
Rımov Reservoir, Peterka et al. (2007) revealed that
in August 2005 sinusoidal swimming was typical for
Fig. 8 Time series analysis
of a, c surface global
radiation (GR) and
b, d percentage of
sinusoidal fish trajectories
in five sequential days in
June (a, b) and in four
sequential days in August
(c, d) showing an apparent
relationship between
sinusoidal swimming and
global radiation. Percentage
of sinusoidal fish was
relatively low in the first
(June, August) and fourth
days (June); those days
were very cloudy (see
arrows in trend component
of both time series). The
increase of sinusoidal
swimming was clear during
other days, which were
relatively cloudless. Note
that the curves describing
the general trends of GR
and percentages of
sinusoidal fish are very
similar. The thick grey lineson the right side of each plot
gives the same interval of
GR (300 W m-2) or
percentage of sinusoidal
fish (22%) for all panels.
Weather icons are used to
simplify the day values of
global radiation
262 Hydrobiologia (2010) 654:253–265
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larger individuals of common bream and roach,
which dominated the record. Both these species were
frequently seen swimming sinusoidally, both as
single fish or in groups of several individuals. The
fish were clearly searching for zooplankton and they
were sucking them in.
Simultaneous purse seine catches confirmed that
common bream and roach of age [1? comprised
84% of the pelagic fish stock in Rımov Reservoir
(Peterka et al., 2007) and gut content analyses
confirmed that zooplankton was the only prey of
those two species (Vasek et al., 2008). Common
bream and roach were also abundant in pelagic gillnet
catches from April to August while, in contrast, in
October these species completely vanished from
pelagic gillnet catches (Vasek et al., 2008). It seems
that the absence of both large cladocerans and
cyclopoid copepods, along with the disappearance
of thermal and oxygen stratification in the upper
25 m of the water column, forced the common bream
and roach to leave the open water of the reservoir.
This fact resulted in (1) very low abundance and
biomass of larger fish in the open water and (2) very
low occurrence of sinusoidal swimming. Under such
unfavourable feeding conditions, it might be disad-
vantageous for these two species to stay longer in the
open water and perform even sinusoidal swimming,
an efficient foraging behaviour. On the other hand,
the increase in the occurrence of sinusoidal swim-
ming between April, June and, finally, August clearly
resulted in an increase of zooplankton in the contents
of fish guts.
It is evident that sinusoidal swimming is a visual
feeding behaviour of zooplanktivorous fishes such as
common bream and roach. This assumption is well
supported by Vasek & Kubecka (2004) who have
described circadian feeding activity of adult common
bream and roach with clear afternoon peaks and
distinct nighttime declines in gut fullness. Sinusoidal
swimming is restricted to daylight hours and to the
epilimnion of the reservoir (Cech & Kubecka, 2002,
this study) where there are appropriate light (Cech
et al., 2005), temperature, oxygen (Bohl, 1980;
Prchalova et al., 2008; Vasek et al., 2008) and feeding
conditions (Hudcovicova & Vranovsky, 2006; Seda
et al., 2007). Only 51 individuals out of 1,875
sinusoidally swimming fish performed this behaviour
outside daylight hours. Since 43 of those fish were
observed within 1 h after sunset, those records could
be classified as an example of residual behaviour.
However, it could also be hypothesized that moonlight
and, e.g. light from the dam construction or a nearby
village, in combination with eyes equipped with a
tapetum lucidum (common bream; Kuhne & Sewall,
1880) may improve optical conditions to an extent that
during the first part of the night this foraging behaviour
is still reasonable for some unsatiated individuals.
Generally, the disappearance of sinusoidal swimming
after sunset coincided with lower abundance and
biomass of larger fish in the open water, a result of
nocturnal inshore migrations (Schulz & Berg, 1987;
Kubecka, 1993; Kubecka & Duncan, 1994; Rıha et al.,
2008).
Preliminary results have shown that sinusoidal
swimming is also dependent on the weather condi-
tions. It was observed during sunny days and stable
weather, but heavy rain, storms and strong winds
stopped this behaviour and, moreover, led to a rapid
emigration of larger fish from the open water
(M. Cech, pers. observation). In the present study,
those findings are confirmed by the fact that a
significantly lower occurrence of sinusoidally swim-
ming fish was recorded during cloudy days compared
to sunny days. It appears that high values of GR and
stable calm weather during high pressure periods,
result in optimal optical conditions for sinusoidal
swimming, making this foraging behaviour more
efficient. Using sinusoidal swimming in the pelagic
habitat, both common bream and roach are able to
ingest specifically large zooplankton and avoid
cyanobacterial clumps, which are of the same size
and highly abundant in the reservoir during the
summer months (Znachor et al., 2006). In the evening,
the gut contents of common bream and roach were
found to consist of mainly cladocerans (consumption
up to 100,000 Daphnia individuals fish-1 day-1;
M. Vasek, unpubl. data) but cyanobacterial clusters
were completely absent (Vasek et al., 2008).
In contrast to the original study of Cech & Kubecka
(2002, nanalysed sinusoidal fish = 201), when using more
powerful data (this study; nanalysed sinusoidal fish
= 1,875) sinusoidal swimming was observed in a
much wider size range of fish (min–max LS
49–783 mm). The vast majority of records ([90% in
April–August), however, came from fish of LS
100–400 mm (average ca. 250 mm), which corre-
sponds well to the previous results of Cech &
Kubecka (2002) and represents the typical size range
Hydrobiologia (2010) 654:253–265 263
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of common bream and roach of age [1? in Rımov
Reservoir (Vasek et al., 2008, 2009). The largest
sinusoidally swimming fish were most probably
common carps Cyprinus carpio L. since those fish
were sporadically seen on the UW camera records
(Peterka et al., 2007). This illustrates the fact that
sinusoidal swimming is widely used by all size
categories of fishes (except small 0? fish) exploiting
the zooplankton production in the reservoir.
Recently, a visual observation confirmed intensive
sinusoidal swimming for larger common bream
during June peak of Daphnia and Leptodora also in
case of Vır Reservoir, Czech Republic (Black Sea-
drainage area; sunny days) (M. Cech, unpubl. data).
Conclusion
The present study has shown that sinusoidal swim-
ming, the foraging behaviour, is widely used in fishes
during spring and summer, which periods correlate
with presence of large zooplankton (Daphnia, Lept-
odora, Cyclops vicinus) in the epilimnion of Rımov
Reservoir. The behaviour was observed for fish of LS
49–783 mm, however, the vast majority of records
came from fish of LS 100–400 mm, which corre-
sponds to older (age[1?) common bream and roach,
the dominant zooplanktivorous fish in the reservoir.
The sinusoidal swimming is influenced by weather
conditions and intensity of solar radiation. Fish
performed sinusoidal swimming preferentially during
sunny days rather than during cloudy days. The
proportion of fish performing sinusoidal swimming
increased sharply around sunrise was the highest
within 5–6 h around solar noon and sharply
decreased around sunset. Both relationships between
sinusoidal swimming and (1) weather conditions and
(2) intensity of solar radiation indicate the need of
very good optical conditions for this foraging
behaviour.
In order to conclude these findings to a conceptual
model, the sinusoidal swimming in fishes could be
observed (probability *100%) when following
requirements are fulfilled: (1) Both large zooplank-
ton, particularly Daphnia, Leptodora, Cyclops vicinus
and larger (LS [ 100 mm) zooplanktivorous fishes,
particularly common bream and roach, are present in
the open water of lakes and reservoirs during spring
and summer, (2) calm, sunny days occur.
Acknowledgments The authors thank J. Turek for providing
the environmental parameters data, M. Morris for careful
reading and correcting the English and two anonymous referees
for valuable comments on an earlier version of the manuscript.
The study was supported by the Grant Agency of the Czech
Republic (project No. 206/07/1392 and 206/09/P266) and the
Academy of Sciences of the Czech Republic (project No.
1QS600170504 and AVOZ60170517).
References
Balk, H. & T. Lindem, 2000. Improved fish detection in data
from split-beam sonar. Aquatic Living Resources 13:
297–303.
Becker, R. A., J. M. Chambers & A. R. Wilks, 1988. The New
S Language: A Programming Environment for Data
Analysis and Graphics. Wadsworth & Brooks/Cole
Advanced Books & Software, Monterey.
Bohl, E., 1980. Diel pattern of pelagic distribution and feeding
in planktivorous fish. Oecologia 44: 368–375.
Cech, M. & J. Kubecka, 2002. Sinusoidal cycling swimming
pattern of reservoir fishes. Journal of Fish Biology 61:
456–471.
Cech, M. & J. Kubecka, 2006. Ontogenetic changes in the
bathypelagic distribution of European perch fry Percafluviatilis monitored by hydroacoustic methods. Biologia,
Bratislava 61(2): 211–219.
Cech, M., M. Kratochvıl, J. Kubecka, V. Drastık & J. Matena,
2005. Diel vertical migrations of bathypelagic perch fry.
Journal of Fish Biology 66: 685–702.
Cleveland, R. B., W. S. Cleveland, J. E. McRae & I. Terpen-
ning, 1990. STL: a seasonal-trend decomposition proce-
dure based on loess. Journal of Official Statistics 6: 3–73.
Frouzova, J., J. Kubecka, H. Balk & J. Frouz, 2005. Target
strength of some European fish species and its dependence
on fish body parameters. Fisheries Research 7: 86–96.
Gjelland, K. Ø., T. Bøhn, F. R. Knudsen & P. Amundsen, 2004.
Influence of light on swimming speed of coregonids in
subarctic lakes. Annales Zoologici Fennici 41: 137–146.
Haberlehner, E., 1988. Comparative analysis of feeding and
schooling behaviour of the Cyprinidae Alburnus alburnus,
Rutilus rutilus and Scardinius erythrophthalmus in a
backwater of the Danube near Vienna. Internationale
Revue des Gesamtes Hydrobiologie 73: 537–546.
Hudcovicova, M. & M. Vranovsky, 2006. Vertical distribution
of pelagial zooplankton in a middle-sized dimictic valley
reservoir. Biologia 61: 171–177.
Janssen, J., 1981. Searching for zooplankton just outside Snell’s
window. Limnology and Oceanography 26: 1168–1171.
Janssen, J., 1982. Comparison of searching behaviour for
zooplankton in obligate planktivore, blueback herring
(Alosa aestivalis) and facultative planktivore, bluegill
(Lepomis macrochirus). Canadian Journal of Fisheries and
Aquatic Sciences 39: 1649–1654.
Kubecka, J., 1993. Night inshore migration and capture of adult
fish by shore seining. Aquaculture and Fisheries Man-
agement 24: 685–689.
Kubecka, J. & A. Duncan, 1994. Low fish predation pressure in
the London reservoirs: I. species composition, density and
264 Hydrobiologia (2010) 654:253–265
123
Page 13
biomass. Internationale Revue gesampten Hydrobiologie
79: 143–155.
Kuhne, W. & H. Sewall, 1880. On the physiology of the retinal
epithelium. Journal of Physiology 3: 88–92.
Lazzaro, X., 1987. A review of planktivorous fishes: their
evolution, feeding behaviour, selectivities, and impacts.
Hydrobiologia 146: 97–167.
Lindsey, C. C., 1978. Form, function and locomotory habits in
fish. In Hoar, W. S. & D. J. Randall (eds), Fish Physiology
– Locomotion, Vol. 7. Academic Press, London: 1–100.
Peterka, J., M. Cech, M. Vasek, T. Juza, V. Drastık, M.
Prchalova, J. Kubecka & J. Matena, 2007. Fish occurrence
in the open water habitat of the eutrophic canyon shaped
Rımov reservoir (Southern Bohemia): comparing indirect
and direct methods of investigation. In Kubecka, J. (ed),
Fish Stock Assessment Methods for Lakes and Reservoirs.
HBU BC AVCR, Ceske Budejovice: 42 pp.
Prchalova, M., J. Kubecka, M. Vasek, J. Peterka, J. Seda,
T. Juza, M. Rıha, O. Jarolım, M. Tuser, M. Kratochvıl,
M. Cech, V. Drastık, J. Frouzova & E. Hohausova, 2008.
Distribution patterns of fishes in a canyon-shaped reser-
voir. Journal of Fish Biology 73: 54–78.
Rıha, M., J. Kubecka, T. Mrkvicka, M. Prchalova, M. Cech, V.
Drastık, J. Frouzova, M. Hladık, E. Hohausova, O. Jar-
olım, T. Juza, M. Kratochvıl, J. Peterka, M. Tuser & M.
Vasek, 2008. Dependence of beach seine net efficiency on
net length and diel period. Aquatic Living Resources 21:
411–418.
Rıha, M., J. Kubecka, M. Vasek, J. Seda, T. Mrkvicka, M.
Prchalova, J. Matena, M. Hladık, M. Cech, V. Drastık, J.
Frouzova, E. Hohausova, O. Jarolım, T. Juza, M. Kra-
tochvıl, J. Peterka & M. Tuser, 2009. Long-term devel-
opment of fish populations in the Rımov Reservoir.
Fisheries Management and Ecology 16: 121–129.
Schulz, U. & R. Berg, 1987. The migration of ultrasonic-tag-
ged bream, Abramis brama (L.), in Lake Constance
(Bodensee-Untersee). Journal of Fish Biology 31:
409–414.
Seda, J. & J. Kubecka, 1997. Long-term biomanipulation of
Rımov reservoir (Czech Republic). Hydrobiologia 345:
95–108.
Seda, J., J. Hejzlar & J. Kubecka, 2000. Trophic structure of
nine fish reservoirs regularly stocked with piscivorous
fish. Hydrobiologia 429: 141–149.
Seda, J., K. Kolarova, A. Petrusek & J. Machacek, 2007.
Daphnia galeata in the deep hypolimnion: spatial
differentiation of a ‘‘typical epilimnetic’’ species. Hyd-
robiologia 594: 47–57.
Simmonds, E. J. & D. N. MacLennan, 2005. Fisheries
Acoustics: Theory and Practice. Blackwell Science Ltd,
Oxford.
Thetmayer, H. & U. Kils, 1995. To see and not to be seen.
Marine Ecology Progress Series 126: 1–8.
Vasek, M. & J. Kubecka, 2004. In situ diel patterns of zoo-
plankton consumption by subadult/adult roach Rutilusrutilus, bream Abramis brama, and bleak Alburnus al-burnus. Folia Zoologica 53: 203–214.
Vasek, M., J. Kubecka & J. Seda, 2003. Cyprinid predation on
zooplankton along the longitudinal profile of a canyon-
shaped reservoir. Archiv fur Hydrobiologie 156: 535–550.
Vasek, M., J. Kubecka, J. Matena & J. Seda, 2006. Distribution
and diet of 0? fish within a canyon-shaped European
reservoir in late summer. International Review of
Hydrobiology 91(2): 178–194.
Vasek, M., O. Jarolım, M. Cech, J. Kubecka, J. Peterka &
M. Prchalova, 2008. The use of pelagic habitat by cypri-
nids in a deep riverine impoundment: Rımov reservoir,
Czech Republic. Folia Zoologica 57: 324–336.
Vasek, M., J. Kubecka, M. Cech, V. Drastık, J. Matena, T.
Mrkvicka, J. Peterka & M. Prchalova, 2009. Diel variation
in gillnet catches and vertical distribution of pelagic fishes
in a stratified European reservoir. Fisheries Research 96:
64–69.
Videler, J. J., 1993. Fish Swimming. Chapman & Hall,
London.
Webb, P. W., 1984a. Bodyform, locomotion and foraging in
aquatic vertebrates. American Zoologist 24: 107–120.
Webb, P. W., 1984b. Form and function in fish swimming.
Scientific American 251: 58–68.
Weihs, D., 1973. Mechanically efficient swimming techniques
for fish with negative buoyancy. Journal of Marine
Research 31: 194–209.
Weihs, D., 1974. Energetic advantages of burst swimming of
fish. Journal of Theoretical Biology 48: 215–229.
Wootton, R. J., 1998. The Ecology of Teleost Fishes. Kluwer
Academic Publishers, Dordrecht.
Znachor, P., T. Jurczak, J. Komarkova, J. Jezberova, J.
Mankiewicz, K. Kastovska & E. Zapomelova, 2006.
Summer changes in cyanobacterial bloom composition
and microcystin concentration in eutrophic Czech reser-
voirs. Environmental Toxicology 21: 236–243.
Hydrobiologia (2010) 654:253–265 265
123