OIKOS 100: 429– 438, 2003
Mechanisms underlying shoal composition in the Trinidadian
guppy, Poecilia reticulata
D. P. Croft, B. J. Arrowsmith, J. Bielby, K. Skinner, E. White, I. D. Couzin, A. E. Magurran, I. Ramnarine
and J. Krause
Croft, D. P., Arrowsmith, B. J., Bielby, J., Skinner, K., White, E., Couzin, I. D.,
Magurran, A. E., Ramnarine, I. and Krause, J. 2003. Mechanisms underlying shoal
composition in the Trinidadian guppy, Poecilia reticulata. – Oikos 100: 429– 438.
Free-ranging groups are frequently assorted by phenotypic characters. However, very
little is known about the underlying processes that determine this structuring. In this
study, we investigate the mechanisms underlying the phenotypic composition of
shoals of guppies (Poecilia reticulata) in a high-predation stream in Trinidad’s
Northern Mountain Range. We collected 57 entire wild shoals, which were strongly
assorted by body length. Shoal encounters staged within an experimental arena
showed shoal fission (but not fusion) events to be an important mechanism in
generating phenotypic assortment. In the wild, fission and fusion between guppy
shoals occurred extremely frequently and thus are unlikely to constrain the opportunities for shoal assortment. However, fission and fusion processes occur under the
restrictions imposed by the distribution of individuals within the environment. We
observed size specific segregation within the habitat in three dimensions, providing a
passive mechanism that contributes to the maintenance of the observed homogeneity
of group composition. Furthermore sex differences were found in social behaviour.
Individual male guppies switched between shoals more frequently than females and
left a shoal more often than females. We argue that shoal composition is determined
by habitat segregation on a medium spatial scale and by fission/fusion processes on
a small spatial scale (with sex-specific shoal dynamics adding a additional layer of
complexity).
D. P. Croft (bgydpc@leeds.ac.uk), B. J. Arrowsmith, J. Bielby, K. Skinner, E. White
and J. Krause, School of Biology, Uni6. of Leeds, Leeds, UK LS2 9JT. – I. D. Couzin,
Dept of Ecology and E6olutionary Biology, Princeton Uni6., Princeton, NJ 08544,
USA. – A. E. Magurran, Di6. of En6ironmental and E6olutionary Biology, Uni6. of St
Andrews, Fife, UK KY16 9TS. – I. Ramnarine, Dept of Life Sciences, The Uni6. of the
West Indies. St Augustine, Trinidad.
Group living is likely to be based on a continuous
decision-making process, with individuals constantly
evaluating the profitability of joining, leaving or staying
with others, in accordance to an ever changing trade-off
between predation pressures and feeding opportunities
(Pitcher and Parrish, 1993). Laboratory work on group
choice behaviour and theoretical models have contributed to our understanding of the mechanisms underlying the social organisation of open groups (groups
where individuals are free to leave and join) (Pitcher
and Parrish 1993, Pulliam and Caraco 1984). Despite
the attention that group living has received in the
literature, few investigations have attempted to establish the mechanisms underlying the formation and
maintenance of open groups, of which most fish shoals
are a good example. This is partially due to the
difficulty of observing and manipulating open groups,
which in some instances (e.g. pelagic fish shoals) may
comprise of many thousands of individuals (Misund
1993).
Previous investigations have found the composition
of free ranging fish shoals to be non random; natural
Accepted 23 September 2002
Copyright © OIKOS 2003
ISSN 0030-1299
OIKOS 100:3 (2003)
429
shoals are typically size structured and numerically
dominated by one species (reviewed by Krause et al.
2000a). These findings support laboratory investigations where individuals have been observed to preferentially associate with groups composed of phenotypically
similar individuals (Keenleyside 1955, McCann et al.
1971, Krause and Godin 1994). Homogeneity of group
composition has associated benefits. For example, individual anti-predator benefits increase as shoals become
more phenotypically assorted (Theodorakis 1989). In
addition, phenotypic assortment is thought to have
important implications for foraging efficiency with individuals of different phenotypes (e.g. body length) differing in their competitive ability (Krause 1994, Ranta et
al. 1994).
Various mechanisms have been proposed to explain
phenotypic assortment; in shoaling fish, for example,
there are at least three possibilities. First, phenotypic
assortment of groups could arise by body length-specific habitat preferences (Bremset and Berg 1999). Second, phenotypic assortment may arise via active and/or
passive mechanisms during shoal fission (shoals joining)
and fusion (shoals splitting) events. During shoal fission
and fusion individuals may actively choose neighbouring fish that are of a similar phenotype, thus providing
an individual based mechanism for shoal assortment.
Alternatively, it has been proposed that homogeneity in
the size composition of groups could be created by
passive exclusion of smaller individuals (Krause et al.
2000b). For example, a positive relationship between
body length and speed of locomotion (Blaxter and
Holliday 1969) has been proposed as a mechanism for
creating assortment by size in a number of taxa (krill:
Watkins 1992; African ungulates: Gueron et al. 1996).
At present it is impossible to distinguish between these
mechanisms as information on the outcome of intrashoal fission and inter-shoal fusion is largely missing.
The aim of this investigation is to link the behaviour
of individuals to the structure of groups and in doing so
identify the mechanisms underpinning shoaling dynamics in the Trinidadian guppy. The guppy, used extensively as a model in behavioural ecology, has proved
invaluable in understanding the evolution of social
behaviour in the wild (Magurran et al. 1995). Initially
we determine the degree of phenotypic assortment
within shoals, since this characteristic of groups has
been inferred to have adaptive significance (Theodorakis 1989). We predict that shoals of guppies will be
assorted by phenotype (body length), in accordance
with the findings of previous investigations (reviewed
by Krause et al. 2000a). To test this hypothesis, we
collect free-ranging guppy shoals and record the body
length and sex of individuals. Second, we predict that
both active and passive mechanisms will be fundamental in the generation and maintenance of assortment.
Encounters between shoals provide an important opportunity for assortment, since individuals can make
430
decisions based on the composition of available shoals.
In addition, shoal fission events may result in assortment by body length through individual choice behaviour. We test this hypothesis by observing
encounters between shoals within an experimental
arena in the laboratory.
Rates of encounters between shoals may act as a
constraint on phenotypic assortment, by restricting the
opportunities for shoal switching. Accordingly, we predict that in the guppy (as in other small freshwater fish
species), small inter-shoal distances will facilitate frequent shoal encounters. To determine the rates of shoal
encounters in the guppy population and to provide
information on the dynamics of inter-group fusion and
intra-group fission, individual fish are tracked in their
natural environment. This procedure also provides information on sex differences in social behaviour. Males
are predicted to trade off the benefits of shoaling
behaviour against searching for mating opportunities,
and thus may be expected to move between shoals more
frequently and spending less time shoaling than do
females (Hughes et al. 1999, Kelly et al. 1999).
Finally, encounters between shoals (creating the opportunity for phenotypic assortment) occur within the
constraints imposed by the distribution of individuals
within the habitat. Size-specific habitat use may result
in the passive assortment of individuals within shoals.
To determine whether habitat use is size-specific in the
guppy, we conduct visual count transects at different
times of the day.
Methods
The study site
A guppy population in the Arima River in the Northern Mountain Range of Trinidad was selected for the
investigation. The Arima River is categorised as a high
predation site due to the presence of Crenicichla alta,
one of the major predators of the guppy (Endler 1986).
All observations and experiments were conducted between the 1st of April and the 30th of June 2001 during
the dry season when the low water level and high water
clarity facilitated field observations.
Shoal characteristics
To test our prediction that shoals of guppies will be
assorted by phenotype (body length), guppy shoals
were captured from the Arima River, using a 2m beach
seine. Entire shoals were captured by laying the seine
net on the river bottom. When a shoal moved over it
the net was raised by two observers enclosing the fish
within the seine. Shoals were only selected for analysis
when both observers were satisfied that the entire shoal
OIKOS 100:3 (2003)
had been captured. The body length (total length) and
the sex of individuals within each of the shoals were
recorded. To prevent multiple captures of the same
individual, sampled shoals were not released into the
river until all shoals had been captured.
Data analysis
A randomisation test was used to determine if shoals
were significantly more assorted by body length than
would be expected by random association. This was
achieved by comparing the observed shoal variance in
body length to that obtained from simulated data sets.
To generate these data sets, individuals from all captured shoals were pooled. Shoals (consisting of the
number of individuals in a natural shoal) were then
selected at random. One thousand random shoals were
generated for each shoal captured. From these we
calculated the fraction of generated groups that produced a lower variation in body length than observed.
This fraction is then taken to be the probability that we
can reject the null hypothesis that assortment by body
length is absent in the observed shoals.
Habitat use
Size-specific habitat use may result in non-random encounters between individuals, constraining the opportunities for shoal. Here we test whether small and large
fish were found at different positions in the water
column, and at different distances from the riverbank
as a function of time of day. To determine whether
habitat use is size-specific in the guppy visual count
transects were carried out by one observer on a section
within the Arima River (transect dimensions, length:
= 18 m; width: max= 6 m; depth: max = 89 cm). This
section was subdivided into 3 sections (each 6m long).
The transect consisted of a pool with shallow riffles at
either end (connecting it to other pools both up and
down stream) and represented a typical habitat within
the Arima River. The pool varied in depth and, the
bottom substrate was diverse, ranging from vegetation,
to sand, to larger rocks. There was partial canopy
cover, providing both shaded areas and areas with
direct sun light. Transects of this area were repeated 5
times a day at 4 hourly intervals (08:00, 12:00, 16:00,
20:00 and 24:00 hours), over a 5 day period. The
observer recorded the number of shoals and individuals
and estimated the shoal size and mean body length of
shoals. At night observations were made by torch light.
Pilot trials indicated that such light had little effect on
the behaviour of the fish. Controls showed that the
difference between the visual estimates and the real
shoal size (determined by subsequent capture of the
shoal) was on average 97.2% for a range of shoal sizes
from 1 – 52 (n = 20). Mean shoal body lengths were
classified into the three following body length cateOIKOS 100:3 (2003)
gories: B15 mm, 16 –25 mm and \ 25 mm. The
difference between the estimated and shoal mean body
length was on average 9 1 mm for a range of body
sizes 7 –36 mm (n = 50).
The observer recorded the position of each shoal, or
of individual fish within the transect by recording both
the x and y co-ordinates (distance from the bank and
distance along the transect). The location, species and
body size of all predators observed were also noted.
The vertical position of fish of different body lengths
within the water column was quantified by selecting fish
or shoals at random and placing a meter rule vertically
in the water. The total depth of the water and the
distance that the individual/shoal was from the surface
was recorded. Guppy body length was also estimated
(as above). Pilot trials showed this procedure to have
little effect on behaviour, with individuals not altering
their depths in the presence of the ruler.
Individual behavioural observations
Indi6idual rates of shoal exchange
To asses the potential for individuals to exchange between shoals, individual guppies were selected without
regard to sex from within a 6m long stretch of the
Arima River. Although our sample was not truly random, we endeavoured to select individuals without
prejudice. The observer selected a new individual for
each successive observation (a method used previously
by Magurran and Seghers (1994) to recorded behavioural characteristics in guppy populations). Fish
were in such high density that it was highly unlikely
that the same individual was selected twice. The fish
were then visually followed for periods of up to 10 min,
by an observer standing motionless in the water. During that time all social interactions involving the focal
individual were recorded, including the number of encounters with conspecifics and the occurrence of join,
stay and leave decisions. An encounter was defined as
occurring when the focal fish came within four body
lengths of a shoal or another individual, a criterion that
has been used successfully in previous investigations
(Krause et al. 2000b). In addition, the time at which
these events occurred was recorded. A total of 24 fish
were observed. A visual count transect (see section (d)
on habitat use) was conducted during the observations
within the study area to determine the density of
groups/individuals in the area.
Sex differences in shoal exchange
We predict that the rates of shoal exchange will differ
between the sexes. Males are predicted to trade off the
benefits of shoaling behaviour against searching for
mating opportunities, and thus may be expected to
move between shoals more frequently and spend less
time shoaling than do females (Hughes et al. 1999,
431
Kelly et al. 1999). To test this prediction guppies were
captured from a pool in the Arima River using a 2m
beach seine and transferred to the laboratory. The fish
were given an identification mark on the dorsal surface
by injecting a small amount of Alcian blue, using the
method described by Hoare et al. (2000). All guppies
were anaesthetised with tricaine methanesulfonate (MS222 Sigma Chemical, St Louis) prior to marking. This
procedure allowed the test fish to be clearly identified
upon release. After marking, the fish were kept under
laboratory conditions for a minimum of 1 day and a
maximum of 4 days, fed ad-libitum on tropical aquarium
fish flakes and kept at a constant water temperature of
27°C. Individual marked fish (15 male and 15 females)
were released singly into the pool from which they had
been collected. The sex and the body length of fish were
recorded prior to release. The release of test fish into the
pool was standardised by placing the focal fish into a
release cylinder located within the pool. The focal fish
remained in the cylinder for 10 minutes prior to release.
For each trial the cylinder was placed in the same
location. The test fish were then released into the pool
by raising the cylinder using a remote pulley mechanism.
After release, the observer was able to visually track
the marked fish for periods of up to 10 min and for a
minimum time of 2 min. The number of shoal and
individual encounters (as defined above) made by the
marked fish (or by the shoal within which the marked
fish was present) and the frequency of fission and fusion
events involving the marked fish were recorded. In
addition, the times at which these events occurred were
also recorded. A control experiment was conducted to
examine the effect of marking on shoal choice behaviour. Following the method of Krause and Godin
(1994), test fish were given a two-way choice between
stimulus shoals (one marked with the above method and
one sham injected) within a experimental aquarium
(tank dimensions: 60 ×30 cm, water depth: 10 cm). All
fish were size matched ( 9 1.5 mm). The time that the test
fish spent within the response zone (within four body
lengths) of each shoal was recorded. The proportion of
time a test fish spends in one zone partially determines
the time spent in the other response zone, thus paired
t-tests cannot be used as the data are not independent
(Svensson et al. 2000). Instead, one-sample t-tests were
used, comparing the percentage (of the total time spent
shoaling) with the sham injected shoal, with the null
hypothesis of no preference (i.e. 50% of the total shoaling time will be spent in either response zone). All
percentages were arcsine transformed prior to statistical
analysis.
during shoal fission and fusion will be fundamental in
the generation and maintenance of assortment. To test
this prediction we used a 2 m beach seine to collect a
total of 500 guppies (approximately 250 males and 250
females) from the Arima River. The fish were kept under
laboratory conditions prior to the experiment, fed ad-libitum on tropical aquarium fish flakes and kept at a
constant water temperature of 27°C. After 7 days a total
of 40 shoals were created, each containing 5 males and
5 females (for fish over 15 mm) and 10 randomly selected
individuals for fish under 15 mm (where sex was visually
difficult to determine). Small (un-sexed) fish were used to
ensure encounters could be staged between shoals that
differed substantially in body length. Fish were assigned
to shoals so that they were assorted by body length
within but not between shoals (for fish less than 20
mm9 2.2 mm; greater than 20 mm 9 6.2 mm, because
of sexual dimorphism).
Encounters between shoals were staged by simultaneously releasing two shoals into an experimental arena
(outdoor concrete pool: 196 × 265 cm at a water depth
of 8 cm and temperature of 27°C). The shoals were
placed within release cylinders (one at either end of the
arena), for a ten minute acclimation period prior to
release. Subsequently the two cylinders were raised
simultaneously (using a remote pulley mechanism), allowing the two shoals to move freely within the experimental arena. The outcome of the encounter between the
two shoals was recorded (e.g. fusion, no fusion or partial
fusion). If the encountering shoals did not merge during
the first encounter, the two shoals were removed from
the experimental arena and the body lengths of individuals within the shoals recorded. If on encounter the
shoals merged, the resulting shoal was followed until a
fission event occurred.
Shoal fission events were divided into two categories
(Fig. 1). Rear fission events, were defined as when the
Shoal fission and fusion as a mechanism for shoal
assortment
We predict that both active and passive and mechanisms
432
Fig. 1. Diagram showing the two forms of fission events that
were recorded a) a rear fission event, b) a lateral fission event.
OIKOS 100:3 (2003)
two resulting shoals maintained the same direction of
travel and fission occurred due to differential swimming
speeds. We defined lateral fission events as those in
which the two resulting shoals were separated due to
different directions of travel. Shoal fission was defined
as the point at which two shoals were separated by four
body lengths or more. After a fission event occurred,
the two shoals were removed from the arena and all
individuals within a shoal were measured and sexed. If
shoal capture was not successful (i.e. individuals evaded
the net with the possibility of exchanging individuals),
the trial was abandoned. Each shoal was tested a
maximum of 3 times under different encounter combinations (any given shoal combination/pair was tested
only once) over a 3 day period.
Fig. 2. Shoal-size distribution for wild guppy shoals from the
Arima river n = 55 with a power trend line fitted (p B 0.001).
Data analysis
Chi2 test, n =54, x2 = 50.1, p B0.01, percentage of
females per shoal: mean 9 SD = 769 12.6%).
As in the analysis of wild shoals (see Shoal characteristics in the Methods section) a randomisation test was
used to determine if the shoals were more assorted by
body length after a fission event than would be expected by chance. One of the two shoals resulting from
the first fission event was selected at random. The
within-shoal variance in body length in the selected
shoal was compared to that of a generated data set.
The simulated data set was made by entering the body
lengths of the pre-fission shoal into the model and then
generating a single shoal at random, its size being
determined as that of one of the observed post fission
groups. This process was repeated 1000 times for each
randomly selected shoal from a given fission event. We
calculated the fraction of the data set that produced a
lower variation in body length than observed. This
fraction is then taken to be the probability that we can
reject the null hypothesis that no assortment by body
length had generated the observed shoals.
Results
Shoal and population characteristics
A total of 57 shoals were captured ranging in size from
2 to 47 (median =5). In 56 cases the shoals consisted
entirely of guppies with the exception of one group
where a juvenile Aequidens pulcher was found within
the shoal. The shoal size distribution of the observed
shoals followed a power law distribution, with shoals of
a smaller size being more frequent the population (n =
57, r2 = 0.54, p B 0.001, Fig. 2). The variance of body
length within shoals (n = 57) was significantly less than
that expected by random assortment (randomisation
test: 1000 simulations, Fisher’s omnibus test f57 =
427.46, p B 0.001). Furthermore, shoals were significantly female biased (i.e. greater than 50% females,
OIKOS 100:3 (2003)
Habitat use
A significant relationship was found between the fish
body length and depth below the surface at 12:00 h.
Larger fish were closer to the bottom and smaller fish
closer to the surface of the river (linear regression on
log-transform data, n =48, r2 =0.59, F =69.2, p B
0.001, Fig. 3a). However, no trend was found between
body length and the distance from surface at 24:00
hours (Fig. 3b) with the majority of fish of all sizes
distributed either on the substrate or at the water
surface (linear regression on log-transform data, n =60,
r2 =0.02, F = 0.137, p \0.05).
There was also a significant relationship between the
time of day and the distance from the bank for small
( B15 mm) medium (16 to 25 mm) and large ( \ 26
mm) fish. Fish of all size classes moved closer to the
bank at midnight (Friedman test: chi2 values, small =
10.2, medium = 10.64, large =11.72, p B 0.05, in all
three cases, Fig. 4a). At midday a strong trend was
observed between the distance from the bank and body
length, with larger individuals being observed to be
further from the bank than smaller individuals (Fig.
4a).
The shoal size distribution changed on a diurnal
cycle, with the proportion of single individuals increasing towards the evening and being at their maximum at
24:00 hours (Friedman test: chi2 value = 10.4, p B0.05
Fig. 4b).
Individual behavioural observations
Randomly selected indi6iduals
A mean density of 12 fish per m2 (SD =7.7) and a
mean density of 3 groups per m2 (SD =0.6) were
433
Fig. 4. a) The relationship between body length and distance
from the nearest bank at two time intervals (midnight and
midday), and b) the relationship between time of the day and
the percentage of single fish.
Fig. 3. Relationship between body length and position of fish
in the water column (percentage distance from the bottom
(100%= fish at river surface)) at 12:00 hrs (linear regression on
log-transform data, n = 48, r2 = 0.59, F = 69.2, p B 0.001, Fig.
3a), and b) 24 hrs (linear regression on log-transform data,
n = 60, r2 = 0.02, F = 0.137, p \ 0.05).
found. Twenty-nine individual fish were followed for an
average time of 65s (SD = 107, max = 559 s, min = 10
s) through a total of 116 shoal encounters. Individuals
spent a mean of 66.5% (SD = 29) of their time alone.
Encounters between tracked individuals and shoals or
other individuals occurred on average every 14 s (SD =
11). On average 62% (SD =38) of encounters by the
focal individuals (n = 24) resulted in fusion of the
shoals involved. Association between the focal fish and
its new shoal lasted on average only 10 s (SD = 9.6)
before the focal individual left the shoal or the shoal
dispersed.
Comparison of males and females
Control experiments showed that the presence of an
identification mark did not alter the shoal choice behaviour of individuals, with no difference between the
time that the test fish spent with the marked shoal or
the sham injected shoal, for both males (one-sample
434
t-test t15 = − 1.29, p \ 0.05) and females (one-sample
t-test, t15 = − 0.63, p \0.05).
Male fish were involved in shoal encounters significantly more frequently than females (t-test, t = −3.81
n = 15, p B 0.01, males: mean 9 SD =16 9 5 s; females
mean9SD = 31 916 s). During fission events male fish
were significantly more likely to leave a shoal as an
individual than female fish (t-test, t =3.98 n = 15, p B
0.001, males: mean 9 SD=86.7 916.9%; females:
mean9 SD = 50.89 30.3%). No significant difference
was found between males and females in the percentage
of encounters resulting in fusion (t-test, t =1.5, n =15,
p \0.05, males: mean 9SD = 47 916.9%; females:
mean9 SD =56 9 22%). There was also no significant
difference in the percentage of time that males and
females spent as individuals (t-test, t = −0.15, n =15,
p \ 0.05, males: mean 9 SD =66.5 914%; females:
mean9 SD = 56.59 23.5%).
Fission and fusion
A total of 33 encounters were observed between shoals
that differed in mean body length by more than 5 mm.
Of the 33 encounters, 29 resulted in fusion. The mean
difference in body length between the fusing shoals was
10 mm (SD = 3.9), while for the encounters not resulting in fusion it was 12 mm (SD = 4.2). The small
OIKOS 100:3 (2003)
sample size for encounters not resulting in fusion (4)
prevents statistical comparisons being made between
these values.
Of the 29 shoal encounters that resulted in fusion, the
first fission event was observed and the resulting shoals
successfully captured in 28 instances. Lateral fission
events occurred significantly more frequently than rear
fission events (chi2 test, n =28, x2 =11.6, p = 0.001,
lateral n = 23, rear n =5). In three instances, the first
fission event resulted in one fish leaving the main
group. A minimum of two fish per shoal was required
to investigate whether assortment by body length after
a fission event differed significantly from that expected
by random associations. Therefore the three fission
events consisting of one fish were eliminated from the
subsequent analysis. Following the first fission event,
the within-shoal variation (for one of the two resulting
shoals selected at random, n = 25) was overall significantly lower than that of the simulated shoals assuming
random assortment (randomisation test: 1000 simulations, Fisher’s omnibus test f25 = 97.4 p =0.01).
Discussion
This is the first study to demonstrate the importance of
both passive (e.g. size specific habitat use) and active
(active decisions made during shoal encounters) mechanisms leading to phenotypic assortment of groups. As
expected, shoals of Trinidadian guppies were phenotypically assorted by body length. The results of fission
and fusion experiments and observations on the natural
distribution of individuals and shoals in the field suggest that both active and passive mechanisms are important in creating the observed homogeneity of body
length within groups.
Composition of free-ranging shoals
In accordance with previous investigations (reviewed by
Krause et al. 2000a) the composition of free ranging
guppy shoals were found to be non-random, with
shoals being clearly assorted by body length. The observed homogeneity of group composition is likely to
have adaptive significance for individuals, for example
by reducing predation risk (Theodorakis 1989).
Shoals of guppies were strongly female biased, but
further work is necessary to establish whether this
simply reflects a female biased sex ratio in the Arima
river. Alternatively, differences in male and female social behaviour could generate the biased shoal sex ratio.
For example, it has been reported that female guppies
invest greater effort in anti-predator behaviour than
males (Magurran and Seghers 1994) and spend more
time shoaling (Magurran et al. 1992). However, our
behavioural observations of individuals of a known sex
OIKOS 100:3 (2003)
found no significant difference between the time that
males and females spent in social groups.
Potential mechanisms for the observed homogeneity
of group size composition fall into two categories: shoal
mate choices during shoal fission and fusion events and
habitat choices based on body length.
Shoal fission and fusion as a mechanism for body
length assortment
Shoal fission and fusion provides individuals with opportunities to exchange (or leave) shoals with others of
a similar phenotype, thus shoal fission and fusion
events may be an important mechanism in maintaining
phenotypic assortment. Our investigation suggests that
intra-shoal fission and not fusion is important in generating body length assortment within groups.
Shoal fission events were subdivided into two categories, lateral and rear. We define lateral events as
active, since individuals make an active decision to alter
their swimming direction in relation to the main shoal.
However, rear fission events may represent a combination of both active (individuals actively choosing to
alter their swimming speeds) and passive (physiological
constraints on swimming speeds) mechanisms. Although both active and passive mechanisms may be
involved in fission events active (lateral) events occur
with greater frequency. The findings of the current
investigation provide strong support for active mechanisms being important in maintaining the homogeneity
of group size composition during shoal fission events.
Further evidence that group fission is an important
mechanism in generating phenotypic assortment comes
from studies on the red deer (Cer6us elaphus). In this
species activity synchronisation (e.g. the time at which
individuals forage) is important in determining the outcome of fission and fusion events leading to social
segregation (Conradt and Roper 2000). Support for the
importance of shoal fusion as a mechanism leading to
the homogeneity of group size composition has been
previously demonstrated in the banded killifish, Fundulus diaphanus (Krause et al. 2000b). In this species the
outcome of shoal encounters (join or no join) was
dependent on the body length differences between the
shoals, with shoals of equal body lengths more likely to
join.
Rates of shoal encounters in the field
Encounters between shoals give individuals the opportunity to switch shoals, making decisions based on their
own phenotype and the phenotypic composition of the
available groups. The rate of shoal encounters is dependent (in part) on the shoal size distribution. Within this
guppy population randomly selected individuals spend
66.5% of time away from social groups. This is reflected
in the frequency of single individuals and small groups
435
relative to the number of large shoals. The rates of
shoal encounters, which occurred on average every 14 s,
were the highest recorded for any species to date. In
contrast shoal encounters in the banded killifish and
golden shiners, Notemigonus crysoleucas, occur every
1.1 min (Krause et al. 2000b), while in the marine
environment herring (Clupea harenus) shoals in coastal
Norwegian waters meet on average every 13.7 min
(Pitcher et al. 1996). The rapid rates of shoal encounters observed in the current investigation are unlikely to
constrain the opportunities for phenotypic assortment
within the species.
During a shoal encounter the benefits of inter-shoal
exchange are expected to depend on the sex of an
individual. Male guppies benefit by encountering novel
females (Hughes et al. 1999), but may have to trade off
the antipredator benefits of shoaling for increased mating opportunities. Females, in contrast, prefer to associate with familiar individuals and are therefore proposed
to form the core of a shoal (Griffiths and Magurran
1998). Our behavioural observations showed that male
guppies were involved in shoal encounters twice as
frequently as females, and also moved between shoals
more rapidly than females. However, no significant
difference was found between the time that males and
females spent away from social groups, with both sexes
spending over 50% of their time alone.
Size specific habitat use
If individuals are distributed within the habitat in a
non-random manner (e.g. size specific habitat use), it
will limit the opportunities for interactions to occur,
and may lead to the passive phenotypic assortment of
groups. In this study we document body length segregation within the habitat on three dimensions. At mid-day
individuals of smaller body lengths were found nearer
to the riverbank and closer to the top of the water
column. This provides a potential passive mechanism
that is likely to contribute to the observed homogeneity
of individual body lengths within groups.
Habitat use results from a trade off between foraging
gains and predation risk (Gilliam and Fraser 1987), and
size-specific habitat use has been reported previously in
other fish species (Greenberg et al. 1996, Lightfoot and
Jones 1996, Bremset and Berg 1999, Heggenes et al.
1999). Size-specific habitat segregation may be explained by body length differences in competitive ability
(Bremset and Berg 1999), and predation risk (Post and
Evans 1989, Fuiman and Magurran 1994), restricting
the distribution of small individuals within the habitat
(Werner and Hall 1988). Size-specific habitat use
showed a clear diurnal pattern, with the body length
differences between habitats being dramatically reduced
during the night when all fish moved closer to the river
bank and segregation by positioning within the water
436
column reduced. These observations support previous
anecdotal observations by Seghers (1973), who reported
that guppies use shallow refuges at night remaining
close to the river banks in high predation rivers.
Previous experiments have shown fish to respond to a
change in predation risk by moving to protected habitats (Cerri and Fraser 1983, Werner et al. 1983). When
dark, predation risk to the guppies potentially changes
as a result of two factors. Firstly the occurrence of a
nocturnal predator Hoplias (Hoplias malabaricus). Secondly, there may be a reduction in the efficiency of
shoaling behaviour as an anti-predator response at
lower light intensities, due to the importance of vision
in co-ordinating anti-predator behaviour (Pavlov and
Kasumyan 2000). Our findings illustrate how both passive and active mechanisms are important in creating
the observed homogeneity of body length within
groups. On a coarse scale the size-specific distribution
of individuals within the habitat will result in the
passive assortment of shoals based on body length. On
a finer scale, shoal fission (largely through active mechanisms) is important in maintaining the homogeneity of
group size composition.
Ecological implications
An understanding of the mechanisms underlying the
social organisation of the guppy helps to elucidate the
ecological implications of group living. For example,
co-operative behaviour has previously been proposed to
occur within group living fish species (e.g. tit-for-tat
predator inspection, Milinski 1987). The rate at which
social groups break apart and form, and individual
exchange during shoal encounters may act as a constraint on the evolution of co-operative behaviour (Michod and Sanderson 1985, Toro and Silio 1986,
Mesterton-Gibbons 1992). Group stability has been
previously proposed to favour the evolution of reciprocal altruism allowing partnerships to develop between
individuals. Stable associations between familiar individuals, may also confer other benefits; for example
individuals might gain information on their companions previous behaviour during competitive interactions, and familiarity may reduce the risk of predation
(Chivers et al. 1995) and facilitate feeding benefits
(Metcalfe and Thomson 1995).
In the current investigation the behavioural observations of individuals illustrate that shoal ‘‘decay rate’’ is
rapid within the guppy. Shoals of guppies represent
temporary associations between individuals, with individuals spending a mean time of only 10 seconds as a
member of any one shoal, and over 50% of their time as
individuals. Both males and females remain within a
shoal for less than 20 seconds on average before leaving
as an individual. Consequently most associations between individuals within shoals will persist on a time
OIKOS 100:3 (2003)
scale of seconds. This is far short of the time required
for familiarity to develop within the guppy (approximately 12 d, Griffiths and Magurran 1997). Thus the
findings of the current investigation suggest that if
familiar recognition occurs in the guppy it is unlikely to
be a the result of shoal fidelity, as individuals exchange
shoals rapidly, and spend a significant proportion of
time on their own. Similarly, previous investigations
studying shoal structure have largely failed to find
fidelity by individuals to a particular group (Helfman
1984, Hoare et al. 2000, see Barber and Ruxton 2000
for an exception).
Knowledge of group dynamics, for example rates of
inter-group exchange and phenotype distributions
within the population and habitat, is essential for predicting the rates at which pathogens (Loehle 1995,
Mollison and Levin 1995) and information will spread
through a population. The social transmission of information has been demonstrated in shoaling fish in the
form of predator recognition (Magurran and Higham
1988) and in the guppy as the learning of foraging
routes (Laland and Williams 1997). In the current
investigation, individual guppies were found to encounter a limited subset of the population due to size-specific habitat use and active shoal mate choice.
Population sub-structuring of this kind will result in
information spreading through the population in a
non-random manner, a finding that may have important implications for models predicting information
transfer in animal populations.
Acknowledgements – We would like to thank Ronnie Hernandez, Joanna Smith, James Gilliam, Douglas Fraser and David
Reznick, for logistical support and stimulating discussion in
the field. In addition we would like to thank Daniel Hoare for
discussion and comments on draft versions of the manuscript.
Darren Croft was supported by a Frank Parkinson Scholarship from the University of Leeds.
References
Barber, I. and Ruxton, G. D. 2000. The importance of stable
schooling: do familiar sticklebacks stick together? – Proc.
R. Soc. Lond. B-Biol. Sci 267: 151 – 155.
Blaxter, J. H. S. and Holliday, F. G. T. 1969. The behaviour
and physiology of herring and other clupeids. – Adv. Mar.
Biol. 1: 261 – 393.
Bremset, G. and Berg, O. K. 1999. Three-dimensional microhabitat use by young pool-dwelling Atlantic salmon and
brown trout. – Anim. Behav. 58: 1047 – 1059.
Cerri, R. D. and Fraser, D. F. 1983. Predation and risk in
foraging minnows: balancing conflicting demands. – Am.
Nat. 121: 552 – 561.
Chivers, D. P., Brown, G. E. and Smith, R. J. F. 1995.
Familiarity and shoal cohesion in fathead minnows
(Pimephales promelas) – implications for antipredator behaviour. – Can. J. Zool. 73: 955 – 960.
Conradt, L. and Roper, T. J. 2000. Activity synchrony and
social cohesion: a fission-fusion model. – Proc. R. Soc.
Lond. Ser. B-Biol. Sci. 267: 2213 – 2218.
Endler, J. 1986. A preliminary report on the distribution and
abundance of fishes and crustaceans of the Northern
Range Mountains, Trinidad. – unpub.
OIKOS 100:3 (2003)
Fuiman, L. A. and Magurran, A. E. 1994. Development of
predator defences in fishes. – Rev. Fish Biol. Fisher. 4:
145 – 183.
Gilliam, J. F. and Fraser, D. F. 1987. Habitat Selection under
Predation Hazard – Test of a Model with Foraging Minnows. – Ecology 68: 1856 – 1862.
Greenberg, L., Svendsen, P. and Harby, A. 1996. Availability
of microhabitats and their use by brown trout (Salmo
trutta) and grayling (Thymallus thymallus) in the River
Vojman, Sweden. – Regul. Rivers-Res. Manage. 12: 287 –
303.
Griffiths, S. W. and Magurran, A. E. 1997. Familiarity in
schooling fish: how long does it take to acquire? – Anim.
Behav. 53: 945 – 949.
Griffiths, S. W. and Magurran, A. E. 1998. Sex and schooling
behaviour in the Trinidadian guppy. – Anim. Behav. 56:
689 – 693.
Gueron, S., Levin, S. A. and Rubenstein, D. I. 1996. The
dynamics of herds: from individuals to aggregations. – J.
Theor. Biol. 182: 85 – 98.
Heggenes, J., Bagliniere, J. L. and Cunjak, R. A. 1999. Spatial
niche variability for young Atlantic salmon (Salmo salar)
and brown trout (S. trutta) in heterogeneous streams. –
Ecol. Freshw. Fish 8: 1 – 21.
Helfman, G. S. 1984. School fidelity in fishes – the yellow
perch pattern. – Anim. Behav. 32: 663 – 672.
Hoare, D. J., Ruxton, G. D., Godin, J. G. J. and Krause, J.
2000. The social organisation of free-ranging fish shoals. –
Oikos 89: 546 –554.
Hughes, K. A., Du, L., Rodd, F. H. and Reznick, D. N. 1999.
Familiarity leads to female mate preference for novel males
in the guppy, Poecilia reticulata. – Anim. Behav. 58:
907 – 916.
Keenleyside, M. H. A. 1955. Some aspects of the schooling
behaviour of fish. – Behaviour 8: 83 – 248.
Kelly, C. D., Godin, J. G. J. and Wright, J. M. 1999. Geographical variation in multiple paternity within natural
populations of the guppy (Poecilia reticulata). – Proc. R.
Soc. Lond. Ser. B-Biol. Sci. 266: 2403 – 2408.
Krause, J. 1994. Differential fitness returns in relation to
spatial positions in groups. – Biol. Rev. 69: 187 – 206.
Krause, J. and Godin, J. G. J. 1994. Shoal choice in the
banded
killifish
(Fundulus
diaphanus,
Teleostei,
Cyprinodontidae) – Effects of predation risk, fish size,
species composition and size of shoals. – Ethology 98:
128 – 136.
Krause, J., Butlin, R., Peuhkuri, N. and Pritchard, V. L.
2000a. The social organisation of fish shoals: a test of the
predictive power of laboratory experiments for the field. –
Biol. Rev. 75: 477 – 501.
Krause, J., Hoare, D. J., Croft, D. et al. 2000b. Fish shoal
composition: mechanisms and constraints. – Proc. R. Soc.
Lond. B-Biol. Sci. 267: 2011 – 2017.
Laland, K. N. and Williams, K. 1997. Shoaling generates
social learning of foraging information in guppies. – Anim.
Behav. 53: 1161 – 1169.
Lightfoot, W. and Jones, V. 1996. The relationship between
the size of 0 + roach, Rutilus rutilus, their swimming capabilities, and distribution in an English river. – Folia Zool.
45: 355 – 360.
Loehle, C. 1995. Social barriers to pathogen transmission in
wild animal populations. – Ecology 76: 326 – 335.
Magurran, A. E. and Higham, A. 1988. Information transfer
across fish shoals under predator threat. – Ethology 78:
153 – 158.
Magurran, A. E. and Seghers, B. H. 1994. Sexual conflict as a
consequence of ecology. Evidence from guppy, Poecilia
reticulata, populations in Trinidad. – Proc. R. Soc. Lond.
Ser. B-Biol. Sci. 255: 31 – 36.
Magurran, A. E., Seghers, B. H., Carvalho, G. R. and Shaw,
P. W. 1992. Behavioural consequences of an artificial introduction of guppies (Poecilia reticulata) in N-Trinidad –
evidence for the evolution of antipredator behaviour in the
wild. – Proc. R. Soc. Lond. Ser. B-Biol. Sci. 248: 117 – 122.
437
Magurran, A. E., Seghers, B. H., Shaw, P. W. and Carvalho,
G. R. 1995. The behavioural diversity and evolution of
guppy, Poecilia reticulata, populations in Trinidad. – Adv.
Stud. Behav. 24: 155 –202.
McCann, L. I., Koehn, D. J. and Kline, N. J. 1971. The effects
of body size and body markings on nonpolarized schooling
behaviour of zebra fish (Brachydanio rerio). – J. Psychol.
79: 71 – 75.
Mesterton-Gibbons, M. 1992. On the iterated prisoner’s
dilemma in a finite population. – Bull. Math. Biol. 54:
423 – 443.
Metcalfe, N. B. and Thomson, B. C. 1995. Fish recognise and
prefer to shoal with poor competitors. – Proc. R. Soc.
Lond. B-Biol. Sci. 259: 207 – 210.
Michod, R. E. and Sanderson, M. J. 1985. Behavioural structure and the evolution of co-operation. – In: Greenwood,
J. and Saltkin, M. (eds), Evolution-essays in honour of
John Maynard Smith. Cambridge Univ. Press, pp. 95 – 104.
Milinski, M. 1987. TIT FOR TAT in sticklebacks and the
evolution of co-operation. – Nature 325: 433 – 435.
Misund, O. A. 1993. Dynamics of moving masses, variability
in packing density, shape and size among pelagic schools.
– ICES J. Mar. Sci. 49: 325 – 334.
Mollison, D. and Levin, S. A. 1995. Spatial dynamics of
parasitism. – In: Grenfell, B. T. and Dobson, A. P. (eds),
Ecology of infectious diseases in natural populations. Cambridge Univ. Press, pp. 384 – 398.
Pavlov, D. S. and Kasumyan, A. O. 2000. Patterns and
mechanisms of schooling behaviour in fish: a review. – J.
Ichthyol. 40: s163 – s231.
Pitcher, T. J. and Parrish, J. K. 1993. Functions of shoaling
behaviour in teleosts. – In: Pitcher, T. J. (ed.), Behaviour
of teleost fishes. Chapman & Hall, pp. 363 – 439.
Pitcher, T. J., Misund, O. A., Fernö, A. et al. 1996. Adaptive
behaviour of herring schools in the Norwegian Sea as
438
revealed by high-resolution sonar. – ICES J. Marine Sci.
53: 449 –452.
Post, J. R. and Evans, D. O. 1989. Experimental-evidence of
size-dependent predation mortality in juvenile yellow
perch. – Can. J. Zool.-Rev. Can. Zool. 67: 521 – 523.
Pulliam, H. R. and Caraco, T. 1984. Living in groups: is there
an optimal group size? – In: Krebs, J. R. and Davies, N.
B. (eds), Behavioural ecology an evolutionary approach.
Blackwell, pp. 122 – 147.
Ranta, E., Peuhkuri, N. and Laurila, A. 1994. A theoretical
exploration of antipredatory and foraging factors promoting phenotype-assorted fish schools. – Ecoscience 1: 99 –
106.
Seghers, B. H. 1973. An analysis of geographic variation in the
antipredator adaptations of the guppy, Poecilia reticulata.
PhD Thesis, The Univ. of British Columbia.
Svensson, P. A., Barber, I. and Forsgren, E. 2000. Shoaling
behaviour of the two-spotted goby. – J. Fish Biol. 56:
1477 – 1487.
Theodorakis, C. W. 1989. Size segregation and the effects of
oddity on predation risk in minnow schools. – Anim.
Behav. 38: 496 – 502.
Toro, M. and Silio, L. 1986. Assortment of encounters in the
two-strategy game. – J. Theoret. Biol. 123: 193 – 204.
Watkins, J. L., Buchholz, F., Priddle, J., Morris, D. J. and
Ricketts, C. 1992. Variation in reproductive status of
Antarctic Krill swarms evidence for a size-related sorting
mechanism? – Mar. Ecol. Pro. Ser. 82: 163 – 174.
Werner, E. E. and Hall, D. J. 1988. Ontogenetic habitat shifts
in bluegill – the foraging rate predation risk trade-off. –
Ecology 69: 1352 – 1366.
Werner, E. E., Gilliam, J. F., Hall, D. J. and Mittelbach, G.
G. 1983. An experimental test of the effects of predation
risk on habitat use in fish. – Ecology 64: 1540 – 1548.
OIKOS 100:3 (2003)