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Spatial organization and division of labour in the bumblebee Bombus impatiens

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Individuals in many types of animal groups show both reproductive and task-related division of labour. In some social insect species, such division of labour may be related to the spatial organization of workers inside the nest. We examined colonies of bumblebees and found that (1) 11-13% of workers maintained small spatial fidelity zones inside the nest, and all workers tended to remain at a specific distance from the colony centre independent of their age; (2) smaller individuals maintained smaller spatial zones and tended to be closer to the centre; and (3) individuals that were more likely to perform the in-nest task of larval feeding tended to remain in the centre of the nest, whereas foragers were more often found on the periphery of the nest when not foraging. Individuals that performed other tasks did not maintain a predictable distance to the centre, and there was no evidence that spatial preferences changed over time. Instead, spatial patterns may result from inherent differences between individuals in terms of activity level, and may be a self-organized sorting mechanism that influences division of labour among workers.
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Spatial organization and division of labour in the bumblebee Bombus impatiens
Jennifer M. Jandt
*
, Anna Dornhaus
Department of Ecology & Evolutionary Biology, University of Arizona
article info
Article history:
Received 11 March 2008
Initial acceptance 19 June 2008
Final acceptance 21 November 2008
Published online 10 January 2009
MS. number: A08-00164R
Keywords:
Bombus impatiens
bumblebee
division of labour
self-organization
spatial assortment
Individuals in many types of animal groups show both reproductive and task-related division of labour.
In some social insect species, such division of labour may be related to the spatial organization of
workers inside the nest. We examined colonies of bumblebees and found that (1) 11–13% of workers
maintained small spatial fidelity zones inside the nest, and all workers tended to remain at a specific
distance from the colony centre independent of their age; (2) smaller individuals maintained smaller
spatial zones and tended to be closer to the centre; and (3) individuals that were more likely to perform
the in-nest task of larval feeding tended to remain in the centre of the nest, whereas foragers were more
often found on the periphery of the nest when not foraging. Individuals that performed other tasks did
not maintain a predictable distance to the centre, and there was no evidence that spatial preferences
changed over time. Instead, spatial patterns may result from inherent differences between individuals in
terms of activity level, and may be a self-organized sorting mechanism that influences division of labour
among workers.
The Association for the Study of Animal Behaviour. Published by Elsevier Ltd.
Many animal groups can be described as complex biological
systems whose components are capable of dividing tasks among
one another in the absence of a central leader, a process described
as self-organization (Beshers & Fewell 2001; Camazine et al. 2001).
Division of labour occurs when individuals specialize on different
colony tasks, such as brood care, foraging or colony defence
(reviewed in Beshers & Fewell 2001). While different mechanisms
that may create a division of labour have been identified, it is
unclear whether there is a more basic property of social groups that
underlies organization across species. In social insects, for example,
individuals within some groups organize labour through domi-
nance interactions (e.g. paper wasp foundresses: West-Eberhard
1969), whereas others divide labour by age, such that there is
a sequential order of tasks correlated with an age-dependent
hormonal change within each individual (e.g. honeybees: Seeley
1982; Robinson 1987, 1992; Robinson et al. 1989). In other groups,
however, task allocation may be based on worker size: the larger
‘soldiers’ defend the colony while the smaller workers perform the
remaining tasks (e.g. army ants: Powell & Franks 2006; termites:
Roux & Korb 2004).
In bumblebees, dominance (measured as ovarian development)
seems to have little effect on division of labour among workers in
a queenright colony (Bombus terrestris:Duchateau & Velthuis 1989;
Geva et al. 2005). There is also little evidence of an age-sequential
pattern of task switching (B. impatiens and B. bimaculatus:Cameron
& Robinson 1990), although younger bees may be more likely to
care for brood (B. griseocollis:Cameron 1989;B. bifarius:O’Donnell
et al. 2000;B. terrestris:Yerushalmi et al. 2006). Instead, it is widely
accepted that in bumblebees, division of labour may depend more
on worker body size (Brian 1952; Free 1955; Goulson et al. 2002;
Goulson 2003; Yerushalmi et al. 2006). Bumblebees show a wide
range of body sizes among workers, and larger individuals are often
better at foraging and more likely to forage (Alford 1978; Goulson
et al. 2002; Spaethe & Weidenmu
¨ller 2002; Foster et al. 2004;
Worden et al. 2005), whereas smaller individuals are more often
observed remaining inside the nest throughout their lifetime (Brian
1952; Goulson et al. 2002; Heinrich 2004; Yerushalmi et al. 2006).
However, there is little evidence for further division of labour based
on body size for those specific tasks found inside the nest, such as
incubating brood or fanning (Foster et al. 2004; Weidenmu
¨ller
2004). Therefore there must be some other mechanism that fine-
tunes the division of labour in bumblebees. We propose that the
spatial sorting of individuals inside the nest may, to some degree,
play a role.
Spatial sorting of individuals within a group correlates with
division of labour in other types of social insect (ants: Odonto-
machus brunneus:Powell & Tschinkel 1999;Temnothorax uni-
fasciatus:Sendova-Franks & Franks 1995;Temnothorax albipennis:
Backen et al. 2000;Pheidole dentata:Wilson 1976; wasps: Ropalidia
marginata:Robson et al. 2000; bees: Apis mellifera:Seeley 1982).
Individuals within a social insect colony that tend to return to
*Correspondence: J. M. Jandt, Department of Ecology & Evolutionary Biology,
P.O. Box 210088, University of Arizona, Tucson, AZ 85721, U.S.A.
E-mail address: jandt@email.arizona.edu (J.M. Jandt).
Contents lists available at ScienceDirect
Animal Behaviour
journal homepage: www.elsevier.com/locate/yanbe
0003-3472/$38.00 The Association for the Study of Animal Behaviour. Published by Elsevier Ltd.
doi:10.1016/j.anbehav.2008.11.019
Animal Behaviour 77 (2009) 641–651
particular areas of the nest are said to maintain ‘spatial fidelity
zones’ (Sendova-Franks & Franks 1995). By remaining in
nonrandom areas of the nest, workers may be able to minimize the
distance moved between tasks, thereby increasing overall effi-
ciency at the colony level (Wilson 1976; Seeley 1982).
Unlike nests of honeybees (Camazine 1991), ants (Franks &
Sendova-Franks 1992) or paper wasps (Karsai & Pe
´nzes 1998),
bumblebee nests are not arranged in a predictable pattern
(Cameron 1989). Egg clumps (3–4 eggs each) are laid in all
regions of the nest. Therefore, the centre of the distribution of
workers in the colony cannot be arranged around a single ‘brood
pile’ or brood area, as it is in other species. Because of the small
nest area and these interspersed nest characteristics, in-nest
space use and its relationship to division of labour has not been
investigated in bumblebees (Cameron 1989). We propose,
however, that bumblebee colonies allow us a unique opportunity
to compare individual space use with other species whose nests
show more predictable patterns of organization. For example, if
spatial organization arises because individuals are orienting
around particular nest characteristics, as may be the case in
honeybees (Seeley 1982), we may expect bumblebees to divide
space into small, concentrated zones throughout the nest. Alter-
natively, if spatial segregation is limited by the size of the nest
(Cameron 1989), we should not expect to see any spatial
patterning emerge, nor should we observe correlations between
space use and task. Finally, if inherent individual differences affect
space use, as in Temnothorax ants (Backen et al. 2000), given the
lack of evidence for age polyethism in bumblebees, we would
expect spatial patterns that differ between individuals to be
consistent over time.
We performed an in-depth analysis of the spatial arrangement
of individuals within bumblebee colonies (B. impatiens) to examine
how these spatial patterns relate to division of labour. Our goals
were to determine (1) whether individual bumblebees maintain
spatial fidelity zones inside the nest, (2) whether use of spatial
zones can be predicted by age or body size of individuals and (3)
how space use correlates with division of labour (i.e. whether tasks
are zone specific).
METHODS
We purchased four queenright colonies of Bombus impatiens
through Koppert Biological Systems (Romulus, MI, U.S.A.). Colony A
was set up on 7 August 2006, while colonies B, C and D were
established on 28 August 2006. Each colony was placed inside
a wooden nestbox (13 13 8 cm) that was immediately adjacent
to an outer box (13 13 8 cm), which was connected to
a foraging arena (70 6040 cm; for colony B: 20 20 8 cm)
via 2.5 cm (ID) Tygon tubing. Both boxes contained a 3 cm layer of
Feline Pine
Ò
cat litter (Nature’s Earth Products, Inc., West Palm
Beach, FL, U.S.A.) to reduce moisture build-up inside the colony. All
boxes were covered with glass to provide constant viewing of in-
nest behaviour (bumblebees habituate quickly to light in their
nest). All colonies were kept under a 10:14 h light:dark cycle. While
the lights were on, we did not observe bees flying inside the nest or
behaving in a way that would suggest that the glass cover affected
in-nest worker behaviour.
Bees had access to the foraging arena at all times. In the arena,
they were provided with sugar solution (Bee-Happy, Koppert Bio-
logical Systems) and pollen (obtained from Apis mellifera colonies
and ground to a powder) ad libitum. Food was replenished daily
after spatial observations for that day were completed to ensure
that treatment was consistent across colonies and that spatial
arrangements of individuals were collected in the absence of a rush
of activity towards new food.
All individuals in each colony were marked on the thorax with
a colour and number-coded plastic tag (Queen Marking Numbers,
Mann Lake Ltd, Hackensack, MN, U.S.A.). Newly emerged adult bees
were marked on the same day, and their date of emergence (eclo-
sion) recorded. Marking took place after all data collection was
completed for that day.
All colonies adjusted to the laboratory conditions except for
colony C. On day 8 of data collection, workers began constructing
honeypots and laying male eggs in the feeding arena, thus leaving
the original nest. Many workers never returned to the nestbox
where the queen remained. Because of this behaviour, there is
reason to suspect that spatial arrangement of the few remaining
individuals inside the nest may not be truly representative of what
would be observed in a ‘normal’ colony. Therefore, we do not
present results from colony C here.
Data were collected for the entire duration that the queen was
present (colony A: 24 days; colony B: 32 days; colony D: 49 days)
and on all individuals that emerged during that time (colony A: 94
bees; colony B: 90 bees; colony D: 154 bees).
Recording Positions of Individual Workers
Colonies were allowed 2 weeks after set-up to adjust to labo-
ratory conditions before data collection began. Spatial data were
collected daily between 0700 and 1000 hours, 4–6 times per week.
A2525 cm grid divided into 100 square grid cells was placed
over the glass top of the nestbox so that the Xand Ycoordinates of
each individual, including the queen, could be recorded. Bees
foraging in the arena during data collection were recorded as such.
Not all bees were recorded every day, as some were hidden under
the nest substrate.
To account for changes in nest structure, once a week we
recorded the dominant nest character present in each grid cell:
brood (including egg and larval clumps), pupae, honeypots or
nothing (i.e. off nest substrate). The grid cells in the centre of two
sides of the nestbox were designated as ‘window’ cells because
a screened opening for airflow was located on the wall in these
areas.
Comparing Spatial Zone Size to Random Expectation
The centroid of the coordinate recordings for each individual
bee was calculated (i.e. the averages for the Xand Ycoor-
dinates SD). As a measure of the size of the area used by each bee,
we multiplied double the standard deviations of those Xand Y
averages, yielding the area of a rectangle around the centroid of
each bee’s distribution. This will be called ‘spatial zone size’. We
used this method as opposed to calculating a polygon or convex
hull because it takes into account the frequency with which
different areas are used (Fig. 1).
We used a Monte Carlo simulation to determine the expected
spatial zone size for each bee to test the null hypothesis that all bees
have the same spatial preferences in the nest. We therefore
calculated expected spatial zone sizes under the assumption that
every day all bees chose their locations randomly from the overall
distribution of bees on the nest. This way we could determine
whether each bee’s actual spatial zone size was larger or smaller
than her expected spatial zone size. To calculate a focal bee’s
expected spatial zone size, a random set of coordinates were picked
from individuals recorded on each of the same days as the focal bee.
The standard deviations of those randomly selected Xand Ycoor-
dinates were multiplied to calculate a random spatial zone size. For
each bee, this process was repeated until 1000 random spatial zone
sizes were calculated. Bees whose actual spatial zone size was
smaller than 95% of all of the random spatial zone sizes were
J.M. Jandt, A. Dornhaus / Animal Behaviour 77 (2009) 641–651642
considered to have zones that were significantly smaller than
expected (P<0.05). On the other hand, individuals whose zones
were larger than 95% of all the expected spatial zone sizes were
considered to have zones that were significantly larger than
random (P<0.05; see Fig. 1). By calculating spatial zones in this
way, we may have, in some cases, overestimated the observed size,
and consequently, underestimated the total proportion of spatial
zones smaller than random within each colony. This conservative
method provides additional assurance in the results on those
individuals whose zones we had determined were smaller than
random.
Calculating Distance to In-nest Reference Points
We also investigated space use by calculating an individual’s
distance to particular reference points inside the nestbox on each
day: (1) the colony centre, defined as the centre of the current
distribution of workers, (2) the location of the queen, (3) the nest
entrance (a fixed point) and (4) the bee’s previous day’s coordinate.
The colony centre was recalculated for each day by averaging all X
and Ycoordinates of all individuals recorded on that day. It is thus
a measure of the centre of the overall distribution of individuals,
not of the physical nest structure. The location of the queen was
determined by her Xand Ycoordinates recorded on that day. The
nest entrance was a fixed point in the nestbox where individuals
could enter. Finally, we measured an individual’s movement over
time by comparing its location on a given day to that from the
previous day. Only data recorded on individuals that were inside
the nest on 2 consecutive days were included in this analysis. We
also determined what nest character (i.e. brood or honeypots, etc.)
each individual was on when she was recorded each day.
Recording Task Performance
Task data were collected daily between 1030 and 1300 hours
after food in the arena was replenished. All visible individuals
inside the nest, including the queen, were spot-checked, and the
task they were performing was recorded. In-nest active tasks
included larval feeding (manipulating wax in larval clumps and
feeding), incubating (pressing thorax and abdomen against pupal
cells), constructing honeypots (manipulating wax around honey-
pots), guarding (standing near the entrance or window and
antennating other individuals that approach), fanning (quietly
buzzing wings inside the nest without attempting to fly) and
honeypot probing (inserting head into a honeypot, either to deposit
or retrieve food). If bees were found in the foraging arena during
data collection, they were considered to be foraging. For each bee
that was observed five times or more in an active task, we calcu-
lated the proportion of time spent performing each of the seven
tasks listed above. We used Spearman rank correlations to deter-
mine the probability of performing a task relative to space use. If
individuals were motionless while task data were collected, they
were recorded as ‘inactive’. We calculated the proportion of time
that individuals with five or more observations (active and inactive)
remained inactive inside the nest. Because inactivity is not a task,
the relationship between probability of inactivity and space use
was analysed separately using a Spearman rank correlation test.
Rare activities such as excavating, undertaking, digging and
aggressive interactions were not included in the analyses
(for detailed ethogram of bumblebee worker tasks, see Cameron
1989). Approximately 80% or more of the individuals within
a colony were located each day.
Measuring Body Size
Head and thorax widths of all bees were measured using digital
callipers to the nearest 0.1 mm. Both measurements were analysed
and showed similar results. Thorax width showed the greater range
in values. Therefore, because of the consistency observed between
head and thorax measurements, we only report results regarding
thorax width here.
Calculating Age Effects
To determine how space use changed over time, we performed
a linear regression analysis on all three colonies while blocking for
the individual worker (average worker life span XSD: colony A:
35 14 days; colony B: 37 20 days; colony D: 37 18 days). To
determine whether different age cohorts were found on different
nest characters or were more likely to perform a specific task, we
performed an ANOVA on each colony. In these analyses, we blocked
for individual worker, treated the nest character or task as the
discrete factor and age as a continuous response variable. When
analysing whether different age cohorts participated in certain
tasks, we included inactivity. This way we could determine
whether inactive individuals were of a particular age class as well.
RESULTS
Do Individual Bumblebees Maintain Spatial Fidelity Zones
Inside the Nest?
In each colony, individual worker bees varied in the area of the
nest that they used. Across colonies, 12.10 1. 01% ðXSDÞof
workers maintained spatial fidelity zones that were significantly
smaller than random (colony A: 11.70%; colony B: 11.36%; colony C:
13.25%). On the other hand, 8.47 1.86% maintained zones that
were significantly larger than random (colony A: 6.38%; colony B:
9.09%; colony C: 9.93%). All together, 20.57 2.55% of bees within
each colony were not randomly choosing positions from the overall
worker distribution. Note that expected ‘random’ zone size was
calculated from the actual overall worker distribution and not
(a) Small zone (b) Large zone
N = 26
SDX = 2.38 cm; SDY = 2.38 cm
Spatial zone size = 20.2 cm2
Spatial sig. = 4.0%
N = 29
SDX = 3.25 cm; SDY = 3.75 cm
Spatial zone size = 48.8 cm2
Spatial sig. = 100%
Figure 1. Calculating spatial zone size from raw data. Frequency of observations for
one bee in a grid cell is represented with grey shading. The darker the box, the more
often the individual was recorded in that grid cell. Here we show examples of indi-
viduals whose zone sizes were (a) significantly smaller and (b) significantly larger than
random. Black dots represent the worker’s centroid standard deviations (SD).
Dashed boxes represent the calculated spatial zone size. N’s represent the number of
in-nest spatial observations recorded on the individual; spatial significance denotes
the percentage of random calculated spatial distributions that were smaller than an
individual’s actual zone size.
J.M. Jandt, A. Dornhaus / Animal Behaviour 77 (2009) 641–651 643
under the assumption that there was a homogenous, even distri-
bution of workers across the whole box.
In addition, we found significant differences between individ-
uals with regard to the distance maintained from the colony centre
(ANOVA: P<0.05 for all colonies; Table 1). In two of the three
colonies, there were significant differences between individuals
with regard to the distance maintained from the nest entrance and
the queen (colonies B and D: P<0.05; colony A: P>0.05; Table 1).
Bees also differed in the distances they moved each day from the
previous day’s coordinate in two of the three colonies (colonies A
and D: P<0.05; colony B: P>0.05; Table 1). When bees that used
small zones or large zones were examined separately, there were
no differences within those groups in distance maintained from the
colony centre (Table 1). In two of three colonies, however, bees that
used small zones differed from one another in how far they
remained from the nest entrance (colonies A and D: P<0.05;
colony B: P>0.05; Table 1).
Individual bumblebees’ zone sizes increased with their average
distance to the colony centre (Spearman rank correlation: P<0.001
for all colonies; Fig. 2,Table 2) and average distance to the queen
(P<0.001 for all colonies; Table 2). Individuals that stayed away
from the nest entrance also maintained larger spatial zone sizes in
colonies B and D (P<0.001) but not in colony A (P>0.05; Table 2).
Finally, we compared spatial zone size with the distance that an
individual moved from day to day. Individuals with large spatial
zone sizes, on average, were found further from their previous day’s
coordinate than individuals with small spatial zone sizes
(Spearman rank correlation: P<0.001 for all colonies; Table 2).
There were also positive correlations in all three colonies between
the distance from the previous day’s coordinate and the average
distance that an individual maintained from the colony centre
(P<0.001 for all colonies; Table 2). While these variables were not
completely independent of one another, these results illustrate that
workers that maintained large spatial zone sizes moved widely
around the nest. This means that large zone sizes are not a by-
product of gathering multiple data points on individuals that move
only short distances from day to day. Instead, bees that maintained
large zones were more likely to move greater distances across the
nest space from day to day, while remaining far from the colony
centre. This finding suggests that these bees were probably
primarily using the periphery of the nest.
There was no consistent relationship across all three colonies
between spatial zone size and proportion of time spent on brood
(larvae þeggs), pupae, honeypots or window areas (Table 3). In
colony A, smaller zones were located more often around brood
clumps (P¼0.001), whereas in colonies B and D, smaller zones
were located around pupal clumps (P0.01 for both colonies).
Individuals with larger spatial zone size inside the nestbox were
more likely to be found off the nest substrate (P<0.001 for all
colonies; Table 3). This result suggests that individuals with larger
Table 1
Differences between space use of individual bumblebee workers inside the nest
Variable Colony A Colony B Colony D
FdfPFdfP FdfP
All bees
Centre 1.35 1,93 0.02 2.13 1,91 <0.001 2.39 1,153 <0.001
Queen 1.02 1,91 0.43 1.40 1,91 0.009 1.41 1,15 3 0.001
Entrance 1.12 1,93 0.21 1.29 1,91 0.04 1.60 1,153 <0.001
Previous day 1.44 1,70 0.02 1.25 1,76 0.09 2.10 1,118 <0.001
‘Small zone’
Centre 0.56 1,10 0.84 1.61 1,10 0.11 1.23 1,23 0.22
Queen 1.10 1,10 0.37 2.26 1,10 0.02 0.63 1,23 0.91
Entrance 2.30 1,10 0.02 1.02 1,10 0.43 2.95 1,23 <0.001
Previous day 1.51 1,10 0.16 1.01 1,10 0.45 1.32 1,23 0.16
‘Large zone’
Centre 0.29 1,6 0.94 0.60 1,9 0.79 0.85 1,17 0.64
Queen 0.30 1,6 0.93 0.62 1,9 0.78 0.69 1,17 0.81
Entrance 0.52 1,6 0.79 0.72 1,9 0.69 0.77 1,17 0.73
Previous day 0.44 1,6 0.85 1.09 1,9 0.38 1.36 1,17 0.17
Separate ANOVAs were conducted to compare (1) all bees in the colony, (2) only
those bees whose zone sizes were significantly smaller than random and (3) only
those bees whose zone sizes were significantly larger than random. ‘Centre’ is the
distance of a bee’s position from the centre of the worker distribution in the nest,
‘Queen’ is the distance of worker positions from the queen, and ‘Entrance’ is the
distance of worker position from the entrance of the nestbox. ‘Previous day’ reflects
how workers move around in the nest: it measures the distance of a bee’s position
from that same bee’s position on the previous day. Significant differences between
individuals are highlighted in bold.
Colony A
Colony B
Mean distance to colony centre (cm)
Colony D
S
p
atial zone size (cm2)
0
rS = 0.83, N = 94, P < 0.001
rS = 0.90, N = 90, P < 0.001
rS = 0.88, N = 154, P < 0.001
15 30 45 60
5
3.75
2.5
6.25
3.75
2.5
1.25
6.25
6.25
5
3.75
2.5
1.22
5
Figure 2. Spatial zone size and the mean distance to the colony centre for all three
colonies. Black dots represent individuals whose spatial zone size was significantly
smaller than random, white dots represent individuals whose spatial zone size was
significantly larger than random, and grey dots represent individuals that maintained
a distribution not significantly differing in size from a random distribution. Stars
represent the queen. We used Spearman rank correlations to calculate r
S
and Pvalues.
J.M. Jandt, A. Dornhaus / Animal Behaviour 77 (2009) 641–651644
zones were preferentially located at the edge of the nest, as
opposed to being randomly dispersed throughout the nest,
consistent with the pattern described above.
Can the Use of Spatial Zones Be Predicted by Age or Body
Size of Individuals?
While there were differences between individuals with regard to
their position in the nest, there was little evidence to suggest that
individuals predictably adjust their position as they age. We found
different effects in each of the three colonies. Only in colony A was
there evidence that individuals gradually moved away from the
colony centre over time (linear regression: colony A: R
2
¼0.13;
individual differences: F
1,63
¼1.36,P¼0.04; age effects: F
1,1
¼16.64,
P<0.001; colony B: R
2
¼0.12; individual: F
1,50
¼1.74, P¼0.002;
age: F
1,1
¼0.92, P¼0.34; colony D: R
2
¼0.14; individual:
F
1,90
¼2.31, P<0.001; age: F
1,1
¼0.48, P¼0.49). In colony A, there
was no evidence that individuals adjusted their position relative to
the queen over time (R
2
¼0.13; individual: F
1,61
¼1.09, P¼0.31;
age: F
1,1
¼3.42, P¼0.07), whereas in colony B, individuals gradually
moved closer to the queen (R
2
¼0.10; individual: F
1,50
¼1.28,
P¼0.10; age: F
1,1
¼12.26, P<0.001), and in colony D they moved
further away (R
2
¼0.09; individual: F
1,90
¼1.28, P¼0.05; age:
F
1,1
¼5.60, P¼0.02). There was no evidence of individuals changing
their distance from the nest entrance with age in any of the colonies
(colony A: R
2
¼0.11; individual: F
1,63
¼1.36, P¼0.04; age:
F
1,1
¼2.42, P¼0.12; colony B: R
2
¼0.07; individual: F
1,50
¼0.92,
P¼0.64; age: F
1,1
¼0.49, P¼0.48; colony D: R
2
¼0.09; individual:
F
1,90
¼1.43, P¼0.007; age: F
1,1
¼0.42, P¼0.52) or the distance
moved from the previous day’s coordinate (colony A: R
2
¼0.20;
individual: F
1,45
¼1.7 3 , P¼0.004; age: F
1,1
¼3.64, P¼0.06; colony
B: R
2
¼0.16; individual: F
1,40
¼1.45, P¼0.04; age: F
1,1
¼0.09,
P¼0.76; colony D: R
2
¼0.18; individual: F
1,65
¼1.89,P<0.0 01;age:
F
1,1
¼0.09, P¼0.77).
In all colonies, younger bees tended to reside near brood clumps
whereas older bees were more likely to be found near the window
or in the arena (colony A: individual differences: F
1,80
¼5.35,
P<0.001; nest character differences: F
1,6
¼36.75, P<0.001;
colony B: individual: F
1,7 3
¼10.93, P<0.001; nest: F
1,6
¼35.64,
P<0.001; colony D: individual: F
1,109
¼12.29, P<0.001; nest:
F
1,6
¼47.75, P <0.001). Because of the patchiness of nest charac-
teristics inside the nest, the results of these analyses do not
necessarily imply that individuals showed a tendency to move
‘outward’ as they grew older. Instead, bees may have been moving
to a different nest characteristic while remaining within their zone,
or the nest characteristics within a bee’s zone may have changed as
larvae pupated, emerged and left a new honeypot behind.
Coloniesvaried with regard tothe distribution of worker body size
(Kruskal–Wallis test: H
2
¼24.29, P<0.001; thorax width: colony A:
median ¼4.34 mm, interquartile range (IQR) ¼0.62; colony B:
median ¼4.43 mm, IQR ¼0.89; colony D: median ¼4.11 mm,
IQR ¼0.72). Even so, in two of three colonies, larger bees were
likely to use more space (Bonferroni corrected alpha ¼0.01;
Spearman rank regression: colonies B and D: P<0.001; colony
A: P¼0.30; Fig. 3,Table 4 ), and stay further from the colony
centre (colonies B and D: P<0.001; colony A: P¼0.15) and the
nest entrance (colonies B and D: P<0.005; colony A: P¼0.11).
Larger individuals were also more likely to stay away from the
queen in all three colonies (P0.01). Larger bees were not more
likely to move further from their previous day’s location than
smaller bees in two of three colonies (colonies A and B: P0.02;
colony D: P<0.001), illustrating that body size alone does not
necessarily predict how much an individual will move around
inside the nest.
How Does Space Use Correlate with Division of Labour?
In all three colonies, individuals that were more likely to feed
larvae were more often found closer to the colony centre (Bonfer-
roni corrected alpha ¼0.007; Spearman rank correlation: P0.006
for all colonies; Table 5). In two of three colonies, these workers
maintained smaller zones (colonies B and D: P0.007; colony A:
P¼0.02; Table 5,Fig. 4). On the other hand, foragers maintained
larger zones (P0.003 for all colonies; Fig. 5) and were found
further from the colony centre (P0.001 for all colonies). There
were no consistent relationships across colonies between space use
and specialization in any other task (see Table 5). In all three
colonies, inactive bees remained further from the colony centre
(critical alpha ¼0.05; P0.03 for all colonies). In two of three
colonies, they tended to use more space inside the nest (colonies B
and D: P0.02; colony A: P¼0.08; Table 5).
In all three colonies, we found that tasks were performed by
bees of different ages (colony A: F
1,7
¼3.65, P¼0.001; colony B:
F
1,7
¼4.64, P<0.001; colony D: F
1,7
¼6.05, P<0.001). Younger
bees were more likely to feed larvae and, in colonies B and D,
construct honeypots (Fig. 6). Older bees were more likely to forage
or be inactive in colonies B and D as well (Fig. 6). No other
consistent age effects were observed among other tasks.
We pooled individuals from all three colonies and categorized
them by body size to determine whether different-sized individuals
were likely to perform certain tasks. We performed an ANOVA on
each task and used a Tukey’s post hoc test to compare between
body size categories. We did not include those bees whose thorax
width was less than 3 mm or greater than 5.5 mm in the ANOVA, as
there were too few bees recorded in those categories; however,
their data are still presented in Fig. 7. Our analyses showed that
larval feeders and incubators were often the smallest bees (larval
feeders: P¼0.001; incubators: P¼0.003), whereas guards, fanners
or foragers were larger (guards: P¼0.008; fanners: P¼0.03;
Table 2
Space use compared to distance from reference points inside the nest
Variables Colony A Colony B Colony D
r
S
NP r
S
NP r
S
NP
Spatial zone
size
Centre 0.83 94 <0.001 0.90 90 <0.001 0.88 154 <0.001
Queen 0.58 91 <0.001 0.65 90 <0.0 01 0.68 154 <0.001
Entrance 0.12 94 0.27 0.56 90 <0.001 0.48 154 <0.001
Previous day 0.70 70 <0.001 0.68 73 <0.001 0.75 119 <0.001
Centre Previous day 0.66 70 <0.001 0.61 73 <0.001 0.70 119 <0.001
Spearman rank correlations were used to compare spatial zone size to four different
reference points; the Bonferroni corrected alpha value of 0.0125 was used as
significance criterion. Significant correlations are highlighted in bold. Spearman
rank correlation compared distance to the colony centre with distance moved from
the previous day separately; critical alpha ¼0.05.
Table 3
Spatial zone size relative to nest character
Spatial zone
size vs
Colony A Colony B Colony D
r
S
NP r
S
NP r
S
NP
Brood 0.34 94 0.001 0.15 90 0.15 0.11 154 0.16
Pupae 0.07 94 0.49 0.27 90 0.01 0.29 154 <0.001
Honeypot 0.18 94 0.08 0.07 90 0.53 0.21 154 0.01
Window 0.24 94 0.02 0.02 90 0.84 0.22 154 0.007
Nothing 0.50 94 <0.001 0.62 90 <0.001 0.59 154 <0.001
Spearman rank correlation results of worker spatial zone size relating to the
proportion of observations in which workers were found on a particular nest
character. Because we compared spatial zone size to five different nest characters
within each colony, we used the Bonferroni corrected alpha value of 0.01 as our
significance criterion. Significant regressions are highlighted in bold.
J.M. Jandt, A. Dornhaus / Animal Behaviour 77 (2009) 641–651 645
foragers: P¼0.002; Fig. 7). There was no evidence that construct-
ing or probing honeypots were performed by a certain size bee
(P>0.05 for both tasks). There was some evidence to suggest that
the extraordinarily large bees were more likely to be inactive, but
our sample size for that group of bee was too small to draw any
definitive conclusions on this.
DISCUSSION
We have shown that Bombus impatiens workers distribute
themselves in a nonrandom way inside the nest, and that, on
average, 12% of workers maintain restricted spatial zones. All
workers maintain a consistent distance from the colony centreover
their entire lifetime. Up until this point, there was only anecdotal
evidence that bumblebees arrange themselves inside the nest
nonrandomly during the growth phase of the colony cycle (van
Doorn & Heringa 1986). This is the first study to provide rigorous
statistical analysis that this is indeed the case. Space use in
bumblebees is related to the performance of some in-nest tasks
(such as larval feeding). Our finding that spatial patterns did not
change over time is consistent with what we had predicted for
a group whose workers show little age polyethism (B. griseocollis:
Cameron 1989;B. bifarius:O’Donnell et al. 2000), although we
Colony A
Colony B
Spatial zone size (cm2)
Colony D
Thorax width (mm)
2.5 3 3.5 4 4.5 5 5.5 6
rs = 0.11, N = 93, P = 0.30
rs = 0.43, N = 89, P < 0.001
rs = 0.32, N = 154, P < 0.001
0
45
30
15
60
30
15
0
60
60
45
30
15
0
45
Figure 3. Worker body size (measured as thorax width) and spatial zone size. Black
dots represent individuals whose spatial zone size was significantly smaller than
random, white dots represent individuals whose spatial zone size was significantly
larger than random, and grey dots represent individuals that maintained a distribution
not significantly differing in size from a random distribution. We used Spearman rank
correlations to calculate r
S
and Pvalues.
Table 4
Worker body size (thorax width) and space use
Body size vs Colony A Colony B Colony D
r
s
NP r
s
NP r
s
NP
SZS 0.11 93 0.30 0.43 89 <0.0 01 0.32 154 <0.001
Centre 0.15 93 0.15 0.39 89 <0.001 0.32 154 <0.001
Queen 0.27 90 0.01 0.40 89 <0.001 0.33 154 <0.001
Entrance 0.17 93 0.11 0.37 89 <0.001 0.23 154 0.004
Previous day 0.01 69 0.93 0.27 73 0.02 0.37 119 <0.001
Spearman rank correlations were used to compare body size to five different spatial
statistics within each colony; the Bonferroni corrected alpha value of 0.01 was used
as our significance criterion. Significant regressions are highlighted in bold. ‘SZS’ is
spatial zone size as defined in the text.
Table 5
Space use and task performance
Colony A Colony B Colony D
r
S
NP r
S
NP r
S
NP
Larval feeding SZS 0.26 82 0.02 0.29 84 0.007 0.33 108 0.001
Centre 0.30 82 0.006 0.39 84 <0.001 0.43 108 <0.001
Queen 0.06 80 0.62 0.41 84 <0.001 0.36 108 <0.001
Entrance 0.04 82 0.71 0.14 84 0.21 0.13 108 0 .18
Incubating SZS 0.12 82 0.30 0.17 84 0.13 0.08 108 0.42
Centre 0.17 82 0.12 0.18 84 0.11 0.02 108 0.84
Queen 0.03 80 0.81 0.20 84 0.07 0.10 108 0.31
Entrance 0.04 82 0.73 0.08 84 0.47 0.16 108 0.10
Construct
honeypot
SZS 0.19 82 0.09 0.03 84 0.81 0.12 108 0.21
Centre 0.17 82 0.13 0.00 84 0.97 0.11 108 0.27
Queen 0.24 80 0.03 0.10 84 0.37 0.16 108 0.11
Entrance 0.00 82 0.99 0.05 84 0.67 0.16 108 0.10
Guarding SZS 0.12 82 0.28 0.30 84 0.0 06 0.17 108 0.07
Centre 0.13 82 0.23 0.33 84 0.002 0.21 108 0.03
Queen 0.01 80 0.90 0.30 84 0.005 0.23 108 0.02
Entrance 0.02 82 0.87 0.21 84 0.05 0.28 108 0.003
Fanning SZS 0.19 82 0.10 0.04 84 0.71 0.05 108 0.60
Centre 0.16 82 0.16 0.04 84 0.75 0.04 108 0.70
Queen 0.05 80 0.68 0.07 84 0.53 0.08 108 0.39
Entrance 0.02 82 0.87 0.08 84 0.50 0.05 108 0.62
Probing
a honeypot
SZS 0.08 82 0.47 0.05 84 0.69 0.03 108 0.76
Centre 0.04 82 0.72 0.02 84 0.87 0.09 108 0.37
Queen 0.06 80 0.60 0.07 84 0.52 0 .16 108 0 .10
Entrance 0.06 82 0.62 0.13 84 0.23 0.03 108 0.76
Foraging SZS 0.39 82 <0.001 0.40 84 <0.001 0.28 108 0.003
Centre 0.39 82 <0.001 0.44 84 <0.001 0.32 108 0.001
Queen 0.16 80 0.16 0.28 84 0.009 0.29 108 0.002
Entrance 0.05 82 0.65 0.11 84 0.33 0.07 108 0.46
Inactive SZS 0.18 92 0.08 0.26 87 0.02 0.27 145 0.001
Centre 0.22 92 0.03 0.25 87 0.02 0.24 145 0.003
Queen 0.22 89 0.04 0.11 87 0.32 0.31 145 <0.001
Entrance 0.06 92 0.61 0.18 87 0.10 0.35 145 <0.001
Spearman rank correlations were used to compare worker space use to proportion of
time performing one of seven active tasks within each colony; the Bonferroni cor-
rected alpha value of 0.007 was used as the significance criterion. Proportion of
inactivity was calculated on a different data set, so the significance criterionfor these
analyses remained at alpha ¼0.05. Significant correlations are highlighted in bold.
‘SZS’ is spatial zone size as defined in the text.
J.M. Jandt, A. Dornhaus / Animal Behaviour 77 (2009) 641–651646
found that age may influence task choice to some extent. The
spatial pattern that we observed in bumblebees is similar to what
has been observed in Temnothorax ants (Sendova-Franks & Franks
1995; Backen et al. 2000), whose nests are organized in concentric
patterns radiating from the centre of the nest (Franks & Sendova-
Franks 1992). Spatial sorting in bumblebees, as in Temnothorax,is
neither dependent on the organization of brood in the nest (Sen-
dova-Franks & Franks 1994; Backen et al. 2000), nor constrained by
the small space used by a bumblebee colony, as was previously
suggested (Cameron 1989). Bees close to the centre of the nest in
our study tended to have small zones, be of small body size and
feed larvae, while bees at the periphery tended to have large body
size and were more likely to forage. We found no evidence that
spatial zones were related to performing any other in-nest task.
Space Use and Division of Labour
Bees that fed larvae were more likely to be in the centre of the
nest, whereas foragers were more often found on the periphery.
This result is similar to what has been observed in ants (T. albi-
pennis:Sendova-Franks & Franks 1995;O. brunneus:Powell &
Tschinkel 1999) and paper wasps (R. marginata:Robson et al. 2000),
in that workers that took care of brood were more likely to be found
in the centre of the colony. What is more surprising about our
Colony A
0
0.2
0.4
0.6
0.8
1
Colony B
Proportion of time performing larval feeding
0
0.2
0.4
0.6
0.8
1
Colony D
S
p
atial zone size (cm2)
0
0.2
0.4
0.6
0.8
1
rS = 0.26, N = 82, P = 0.02
rS = 0.29, N = 84, P = 0.007
rS = 0.33, N = 108, P = 0.001
15 30 45 60
Figure 4. Spatial zone size and the proportion of time that an individual was observed
feeding larvae inside the nest. Black dots represent individuals whose spatial zone size
was significantly smaller than random, white dots represent individuals whose spatial
zone size was significantly larger than random, and grey dots represent individuals
that maintained a distribution not significantly differing in size from a random
distribution. Stars represent the queen for each colony. We used Spearman rank
correlations to calculate r
S
and Pvalues.
Colony A
0
0.2
0.4
0.6
0.8
1
Colony B
Proportion of time foraging
0
0.2
0.4
0.6
0.8
1
Colony D
S
p
atial zone size (cm2)
0
0.2
0.4
0.6
0.8
1
rS = 0.39, N = 82, P < 0.001
rS = 0.40, N = 84, P < 0.001
rS = 0.28, N = 108, P = 0.003
15 30 45 60
Figure 5. Spatial zone size and the proportion of time an individual foraged. Black dots
represent individuals whose spatial zone size was significantly smaller than random,
white dots represent individuals whose spatial zone size was significantly larger than
random, and grey dots represent individuals who maintained a distribution not
significantly differing in size from a random distribution. Stars represent the queen for
each colony. We used Spearman rank correlations to calculate r
S
and Pvalues.
J.M. Jandt, A. Dornhaus / Animal Behaviour 77 (2009) 641–651 647
results is that, unlike in ants, bumblebee brood was not necessarily
organized around the centre of the colony. Brood and honeypots
(and by extension, task stimuli) were dispersed throughout the
nest. In one of our colonies, small zones were concentrated around
young brood, whereas in the other two colonies, they were
concentrated around pupae. Bees with larger zones, however, are
more likely to encounter many of the tasks associated with multiple
nest characters (and task stimuli) within their zone. Even though
we found only some evidence of an association between space use
and task specialization, Wilson (1976) and Seeley (1982) suggested
that by remaining in nonrandom areas of the nest, workers in
a social insect colony can minimize the distance that they move
between tasks. Among bumblebee species, the next important step
will be to determine whether spatial organization indeed reduces
switching costs and how ubiquitous such spatial organization is
across species.
Age Effects
Younger B. impatiens workers were more likely to care for
brood or construct honeypots, whereas older workers were more
likely to forage. While this trend may be consistent across colonies
and species (see also B. griseocollis:Cameron 1989), there does not
seem to be a discrete division of labour based on age, like that in
honeybees (Seeley 1982). Previous work on bumblebee division of
labour has shown that, in general, younger bees are more likely to
perform ‘in-nest’ tasks, whereas older bees are more likely to
forage (Brian 1952; Free 1955; Yerushalmi et al. 2006). These age
effects are not strict, however, since many bees remain inside the
nest throughout their entire lives (Brian 1952; Free 1955; Yer-
ushalmi et al. 2006). Bumblebees do not divide labour strictly by
age (B. griseocollis:Cameron 1989;B. bifarius:O’Donnell et al.
2000), nor do they switch between in-nest tasks in a particular
order like honeybees do (Seeley 1982), so it is perhaps not
surprising that space use inside the nest also does not change as
bees get older.
Body Size Effects
Smaller bees, more often in the centre of the nest, were more
likely to feed larvae or incubate brood. On the other hand, larger
bees, more often on the periphery when inside the nest, were more
likely to guard, fan or forage. Previous studies on bumblebees have
shown that small bees are more likely to remain inside the nest,
whereas larger bees are more likely to go out and forage (Brian
1952; Alford 1978; Goulson et al. 2002; Yerushalmi et al. 2006).
Foster et al. (2004) found no evidence to suggest that B. bifarius
workers of a particular size were more or less likely to perform an
in-nest task at the end of the colony cycle. Our study is the first to
show quantitative evidence that during the ergonomic phase of the
colony cycle, some in-nest worker tasks are divided by body size
(Fig. 7).
It is possible that body size, spatial zone and task are all linked in
bumblebees. As in Temnothorax ants, space use in bumblebees may
be determined by an individual’s activity level (Sendova-Franks &
Franks 1994; Backen et al. 2000). Larger individuals may be more
active, use more area inside the nest, and end up engaging in tasks
that are more often performed in those areas, such as guarding. On
the other hand, smaller individuals may be less active and be more
likely to remain in a concentrated location (such as a brood clump)
where they engage in larval feeding or incubating. If this is indeed
the case, the spatial sorting may be an important link between body
size and division of labour in bumblebees.
Inactive Bees
In other social insect species, a large percentage of workers are
often observed remaining motionless inside the nest (40% of Apis
mellifera honeybees: Lindauer 1978; 55% of Temnothorax allardycei
ants: Cole 1986). These inactive workers are often hypothesized to
be ‘reserve’ workers, ready and capable to perform a task when the
colony experiences a sudden disturbance (Seeley 1995; Ho
¨lldobler
& Wilson 1998; Evans 2006). When a bumblebee colony is in need,
workers that are already engaged in a task are more likely to switch
to a different task than inactive workers are to become active
(B. flavifrons,B. melanopygus,B. occidentalis:Cartar 1992), sug-
gesting little need for reserves. In our study, observations were
conducted during the daylight hours; therefore, inactivity of the
large B. impatiens was probably not due to the circadian resting
pattern of foragers (Yerushalmi et al. 2006). It is possible that our ad
libitum feeding method affected the normal foraging rates, and our
enclosed experimental design reduced forager mortality, leaving
Colony A
0
10
20
30
40
50
Colony B
Age (days)
0
10
20
30
40
50
Colony D
Larval feeding
Incubating
Guarding
Fanning
Probing a honeypot
Foraging
Inactive
0
10
20
30
40
50
62
10 67
3
15
24 44 46
59
17
56
7
13 24 35 44
86 18 87
7
635
27
76
a
a
a
a a
a
a
a
ab
ab
ab
ab
b
ab bab
ab bb
ab
ab
ab b
b
Constructing honeypots
Figure 6. Box plots showing the age range (in days) of individuals from each colony
that performed each task. Boxes represent medians (solid line) 25th percentile
range. Whiskers denote 10th–90th percentiles, while dots denote outliers. Sample size
for each task is listed inside each box. ANOVA results show that different ages per-
formed different tasks in all three colonies (colony A: F
1,7
¼3.65, P¼0.001; colony B:
F
1,7
¼4.64, P<0.001; colony D: F
1,7
¼6.05, P<0.001). Letters denote Tukey’s post hoc
comparison results.
J.M. Jandt, A. Dornhaus / Animal Behaviour 77 (2009) 641–651648
Feeding larvae
0
0.2
0.4
0.6
0.8
1
Incubating
0
0.2
0.4
0.6
0.8
1
Constructing
honeypots
0
0.2
0.4
0.6
0.8
1
Guarding
0
0.2
0.4
0.6
0.8
1
Fanning
0
0.2
0.4
0.6
0.8
1
Probing
honeypot
0
0.2
0.4
0.6
0.8
1
Foraging
0
0.2
0.4
0.6
0.8
1
Thorax width (mm)
2.5–3 3–3.5 3.5–4 4–4.5 4.5–5 5–5.5 5.5–6
Inactive
0
0.2
0.4
0.6
0.8
1
F1,4 = 4.60, P = 0.001
F1,4 = 4.21, P = 0.003
F1,4 = 1.51, P = 0.20
F1,4 = 3.54, P = 0.008
F1,4 = 2.71, P = 0.03
F1,4 = 0.36, P = 0.84
F1,4 = 4.32, P = 0.002
N = 2 1847998723 1
aac ab
b bc
a
ab
bbab
a
a
ab ab
b
ab a
ab bab
a
aab b
ab
N = 2 25 58 114 94 23 3
F1,4 = 0.90, P = 0.47
Figure 7. Box plots showing the probability that bumblebees of a particular size range would perform each task or remain inactive in the nest. Boxes represent medians
(solid line) 25th percentile range. Whiskers denote 10th–90th percentiles, while dots denote outliers. Sample sizes for each size range are listed above the graph. ANOVA results
(listed to the right of the graph) do not include the smallest (2.5–3 mm) or largest (5.5–6 mm) size ranges as the sample sizes were too small. Letters above each box denote Tukey’s
post hoc comparison results. Probability of performing a task was calculated from the frequency that individuals performed one of seven active tasks, whereas inactivity was
calculated from the frequency that individuals were inactive or active when they were observed. Only bees observed five or more times were included in either analysis. Data from
all three colonies were pooled for analyses.
J.M. Jandt, A. Dornhaus / Animal Behaviour 77 (2009) 641–651 649
unemployed foragers to become ‘lazy’ inside the nest (Sladen 1912).
On the other hand, inactive bees were not as likely to remain in the
nest periphery as workers that sometimes foraged (Table 5). In
B. terrestris, smaller bees are less active when the inside of the nest
is illuminated (Yerushalmi et al. 2006). However, inactive B. impa-
tiens workers were also not significantly smaller than other bees in
the colony (Fig. 7). Therefore, although somewhat fewer foragers
may have been active by using this experimental set-up, the
phenomenon of inactive bees in the nest is not likely to be a labo-
ratory artefact.
Conclusion
Nonrandom spatial assortment of individuals has been
described in a variety of social groups (e.g. fish shoals: Hoare et al.
2000; humpback whales: Weinrich et al. 2006; peafowl leks: Loyau
et al. 2007). In order for these patterns to be considered self-
organized, individuals must not use an external cue or template to
orient themselves (Camazine et al. 2001). This is the first study to
show that individuals within a bumblebee colony maintain spatial
assortment inside the nest, and that these spatial patterns are not
necessarily dependent upon the location of nest characteristics.
Furthermore, this spatial assortment may either influence division
of labour among workers or be the result of it. For example, as in
Temnothorax ants (Sendova-Franks & Franks 1994; Backen et al.
2000), differences between individual activity levels may predis-
pose certain workers to use larger or smaller areas of the nest
where they are likely to encounter different task stimuli. On the
other hand, spatial organization may be a by-product of workers
‘foraging-for-work’ (Franks & Tofts 1994), and the spatial organi-
zation that arises could be the result of each individual’s attraction
to a particular task across different areas of the nest. Manipulative
experiments are needed before determining which hypothesis is
more likely. Either way, we conclude that the spatial organization
shown by Bombus impatiens workers may be important in the
division of labour within a colony.
Acknowledgments
We thank Eden Huang, Nicolas Skye Robbins, Amanda Barth and
Wendy Isner for their help in data collection and assistance with
bumblebee maintenance. Margaret Couvillon, Tuan Cao, Amelie
Schmolke, Michele Lanan and Emily Jones provided feedback on
the manuscript. Research supported through the College of Science,
Department of Ecology & Evolutionary Biology, University of
Arizona, U.S.A.
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... Division of labor, where individuals specialize on specific roles and cooperate to survive, is hailed as a strategy central to the success of eusocial insect, crustacean, and mammal colonies (Crespi, 2001;Duffy, 2003;Hölldobler and Wilson, 2009;Jandt and Dornhaus, 2009;Queller and Strassmann, 2003;Wilson, 1980). Within nature, eusocial organisms are renowned for exhibiting reproductive division of labor, where members of the reproductive caste (i.e., queens) produce offspring and members of the non-reproductive caste care for the brood and perform other duties central to the maintenance of the eusocial colony (Jandt and Dornhaus, 2009). ...
... Division of labor, where individuals specialize on specific roles and cooperate to survive, is hailed as a strategy central to the success of eusocial insect, crustacean, and mammal colonies (Crespi, 2001;Duffy, 2003;Hölldobler and Wilson, 2009;Jandt and Dornhaus, 2009;Queller and Strassmann, 2003;Wilson, 1980). Within nature, eusocial organisms are renowned for exhibiting reproductive division of labor, where members of the reproductive caste (i.e., queens) produce offspring and members of the non-reproductive caste care for the brood and perform other duties central to the maintenance of the eusocial colony (Jandt and Dornhaus, 2009). Moreover, many eusocial organisms, such as leafcutter ants (Wilson, 1980), bumblebees (Jandt and Dornhaus, 2009), and aphids (Pike and Foster, 2008), also exhibit task-related division of labor, where individuals specialize on performing a particular task. ...
... Within nature, eusocial organisms are renowned for exhibiting reproductive division of labor, where members of the reproductive caste (i.e., queens) produce offspring and members of the non-reproductive caste care for the brood and perform other duties central to the maintenance of the eusocial colony (Jandt and Dornhaus, 2009). Moreover, many eusocial organisms, such as leafcutter ants (Wilson, 1980), bumblebees (Jandt and Dornhaus, 2009), and aphids (Pike and Foster, 2008), also exhibit task-related division of labor, where individuals specialize on performing a particular task. For example, nonreproductive worker bumblebees specialize to perform roles that include foraging, caring for the brood, building honeypots, guarding the hive, or cooling the hive through fanning (Jandt and Dornhaus, 2009). ...
... We evaluated its capacity to learn visual discriminations in these restrictive conditions and thus its potential use for future experiments coupling behavioral analyses in VR conditions with invasive analyses of brain function. In addition, we investigated how body size variation, a characteristic trait linked to division of labor in bumble bee colonies (Jandt & Dornhaus, 2009;Jandt & Dornhaus, 2014) may affect visual learning in VR conditions. Previous studies found that body size is correlated with visual learning speed in freely flying bumble bees Riveros & Gronenberg, 2012;Klein et al., 2017) and with the ability to negotiate obstacles using visual cues (Ravi et al., 2020;Giurfa & Luyat, 2021). ...
... Contrary to honey bees, bumble bees exhibit important differences in body size and weight that relate to division of labor. While larger workers perform mainly foraging tasks (Spaethe & Weidenmüller, 2002), smaller workers mostly participate in in-hive tasks such as nursing (Jandt & Dornhaus, 2009). These differences have been related to learning abilities Riveros & Gronenberg, 2009;Riveros & Gronenberg, 2012;Klein et al., 2017) as foraging brings more opportunities for associative learning to take place (e.g., associating floral sensory traits with food reward as well as environmental cues with navigation goals) and because body size was found to be positively correlated with brain size, which in turn has been considered as a proxy of learning abilities (Collado et al., 2021). ...
... These differences have been related to learning abilities Riveros & Gronenberg, 2009;Riveros & Gronenberg, 2012;Klein et al., 2017) as foraging brings more opportunities for associative learning to take place (e.g., associating floral sensory traits with food reward as well as environmental cues with navigation goals) and because body size was found to be positively correlated with brain size, which in turn has been considered as a proxy of learning abilities (Collado et al., 2021). In our study, bees exhibited a 2.5 fold difference in body size and a 3 fold difference in dry weight, values which are in accordance with natural size and weight variation found in bumble bee colonies (Jandt & Dornhaus, 2009). These differences did not have an impact on their visual learning performances, consistent with results reported for color discrimination by freeflying bumble bees foraging on artificial flowers (Raine & Chittka, 2008) and in contrast with the clear effects that these parameters have for visually guided maneuvering (Ravi et al., 2020) and flight speed (Crall et al., 2015). ...
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Recent developments allowed establishing virtual-reality (VR) setups to study multiple aspects of visual learning in honey bees under controlled experimental conditions. Here, we adopted a VR environment to investigate the visual learning in the buff-tailed bumble bee Bombus terrestris. Based on responses to appetitive and aversive reinforcements used for conditioning, we show that bumble bees had the proper appetitive motivation to engage in the VR experiments and that they learned efficiently elemental color discriminations. In doing so, they reduced the latency to make a choice, increased the proportion of direct paths towards the virtual stimuli and walked faster towards them. Performance in a short-term retention test showed that bumble bees chose and fixated longer the correct stimulus in the absence of reinforcement. Body size and weight, though variable across individuals, did not affect cognitive performances and had a mild impact on motor performances. Overall, we show that bumble bees are suitable experimental subjects for experiments on visual learning under VR conditions, which opens important perspectives for invasive studies on the neural and molecular bases of such learning given the robustness of these insects and the accessibility of their brain. This article is protected by copyright. All rights reserved.
... Bumblebees, unlike honeybees, lack age-caste division of labor, which partitions tasks among workers in different age classes. Instead, the tasks which help sustain a colony throughout its lifecycle, such as defense, foraging and other nest maintenance duties, are shared amongst all bumblebee workers and can be related to the size of the individual (Garófalo, 1978;Spaethe and Weidenmüller, 2002;Jandt and Dornhaus, 2009). These tasks may be prioritized based on current colony requirements (Free, 1955). ...
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Climate changes pose risks for bumblebee populations, which have declined relative to the growing frequency and severity of warmer temperature extremes. Bumblebees might mitigate the effects of such extreme weather through colonial behaviours. In particular, fanning behaviour to dissipate heat is an important mechanism that could reduce exposure of thermally sensitive offspring to detrimental nest temperatures (Tn). The allocation of workers towards fanning over prolonged periods could impact foraging activity that is essential for colony-sustaining resource gathering. Colony maintenance and growth could suffer as a result of nutritional and high ambient temperature (Ta) thermal stress. It remains uncertain whether a compromise occurs between thermoregulation and foraging under chronic, sublethal heat events and how colony success is impacted as a result. This study held colonies of Bombus impatiens at constant high Ta (25°C, 30°C or 35°C) for 2 weeks while quantifying the percentage of foragers, fanning incidence, nest temperature (Tn) and other metrics of colony success such as the percentage of adult emergence and offspring production. We found that foraging and adult emergence were not significantly affected by Ta, but that thermoregulation was unsuccessful at maintaining Tn despite increased fanning at 35°C. Furthermore, 35°C resulted in workers abandoning the colony and fewer offspring being produced. Our findings imply that heatwave events that exceed 30°C can negatively impact colony success through failed thermoregulation and reduced workforce production.
... Ten days after removing the queen, the whole nest was anaesthetized and workers were sampled, with those located under the nest canopy separated from those outside the nest canopy. We took this approach because some data suggest that reproductive workers may be spatially organized [47,48], and we wished to account for nest location in our proteomics analysis. Previous research has recorded that, in queenless B. impatiens colonies, worker ovaries become fully developed within 7 or 8 days [46,47], corresponding to shortly before our sampling date. ...
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Evidence for a trade-off between reproduction and immunity has manifested in many animal species, including social insects. However, investigations in social insect queens present a conundrum: new gynes of many social hymenopterans, such as bumble bees and ants, must first mate, then transition from being solitary to social as they establish their nests, thus experiencing confounding shifts in environmental conditions. Worker bumble bees offer an opportunity to investigate patterns of immune protein expression associated with ovary activation while minimizing extraneous environmental factors and genetic differences. Here, we use proteomics to interrogate the patterns of immune protein expression of female bumble bees (Bombus impatiens) by (i) sampling queens at different stages of their life cycle, then (ii) by sampling workers with different degrees of ovary activation. Patterns of immune protein expression in the haemolymph of queens are consistent with a reproduction–immunity trade-off, but equivalent samples from workers are not. This brings into question whether queen bumble bees really experience a reproduction–immunity trade-off, or if patterns of immune protein expression may actually be due to the selective pressure of the different environmental conditions they are exposed to during their life cycle.
... Studying insects in this context greatly expands our knowledge about the importance of body size. In social insects, body size is indicated as a driver of the non-reproductive division of labour in workers of eusocial wasps 34 , termites 35 , bumblebees 36 and other bees 37 , as well as ants 38,39 . Moreover, as shown by Trible and Kronauer 40 , accounting for body size is necessary to understand caste evolution and development among Formicidae. ...
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The common sand-dwelling Formica cinerea ants possess monomorphic workers, yet with considerable and easily identified size variation. Considering the importance of body size in polymorphic ants and other animals, we test whether size-dependent differences in behaviour occur in this species. We focus on the behaviour of large and small foragers in the context of rescue occurring between nestmates when one of them is entrapped and requires help. We show that workers of different sizes are characterized by a similar frequency of rescue activity and time delay to the first act of rescue. However, small workers rescue for longer than large workers. These results indicate that, although there is no size-related rescue specialization in F. cinerea foragers, small rescuers behave differently than large ones in terms of rescue persistence. Additionally, we show that small workers are more active when trapped. We suggest that variation in behavioural persistence of differently-sized workers may increase the efficiency of rescue actions. This study is the first to find a connection between body size and rescue behaviour in ants and the first to quantify and analyze the behaviour of individuals in need of rescue. These findings add substantially to our understanding of social insects and, more generally, highlight the need to study among-individual behavioural variation in social animals, including those in which body size is judged minute and irrelevant.
... There was not sufficient size variability in our sample of foragers to allow rigorous testing of the influence of body size on learning performance. The low variability was probably also influenced by the association between body size and task performance in bumble bees, as larger bees are more likely to forage [36,[46][47][48][49]. ...
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Simple Summary Honey bees are famous for their capacity to precisely time their visits to flowers to maximize food reward, but it is not known whether similar “time-memory” exists in other bees that forage over shorter distances from their nests. Here, we tested whether bumble bees that live in smaller colonies can associate reward with time of day and color. We trained bumble bee workers to feed on yellow or blue artificial flowers during either the morning or evening, respectively. During the test day, we presented non-rewarding flowers and recorded the behavior of the foraging bees. We found that trained bees preferred yellow flowers during the time corresponding to the morning training time and blue flowers during the time corresponding to the evening training time. These observations show that bumble bees can associate time of day with a specific color and reward, suggesting that time-memory is not limited to species such as honey bees that forage over long distances and time periods. Abstract Circadian clocks regulate ecologically important complex behaviors in honey bees, but it is not clear whether similar capacities exist in other species of bees. One key behavior influenced by circadian clocks is time-memory, which enables foraging bees to precisely time flower visitation to periods of maximal pollen or nectar availability and reduces the costs of visiting a non-rewarding flower patch. Bumble bees live in smaller societies and typically forage over shorter distances than honey bees, and it is therefore not clear whether they can similarly associate reward with time of day. We trained individually marked bumble bee (Bombus terrestris) workers to forage for sugar syrup in a flight cage with yellow or blue feeders rewarding either during the morning or evening. After training for over two weeks, we recorded all visitations to colored feeders filled with only water. We performed two experiments, each with a different colony. We found that bees tended to show higher foraging activity during the morning and evening training sessions compared to other times during the day. During the test day, the trained bees were more likely to visit the rewarding rather than the non-rewarding colored feeders at the same time of day during the test sessions, indicating that they associated time of day and color with the sugar syrup reward. These observations lend credence to the hypothesis that bumble bees have efficient time-memory, indicating that this complex behavior is not limited to honey bees that evolved sophisticated social foraging behaviors over large distances.
... Consistent with this, reduced brood temperature in small, imidacloprid-exposed colonies occurred after (but not during) cold exposure (electronic supplementary material, figures S10 and S11, and text). These findings underscore the importance of not only direct, immediate effects of stressors, but also indirect and potentially delayed effects [61] as an important but understudied factor. ...
Article
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Social bees are critical for supporting biodiversity, ecosystem function and crop yields globally. Colony size is a key ecological trait predicted to drive sensitivity to environmental stressors and may be especially important for species with annual cycles of sociality, such as bumblebees. However, there is limited empirical evidence assessing the effect of colony size on sensitivity to environmental stressors or the mechanisms underlying these effects. Here, we examine the relationship between colony size and sensitivity to environmental stressors in bumblebees. We exposed colonies at different developmental stages briefly (2 days) to a common neonicotinoid (imidacloprid) and cold stress, while quantifying behaviour of individuals. Combined imidacloprid and cold exposure had stronger effects on both thermoregulatory behaviour and long-term colony growth in small colonies. We find that imidacloprid's effects on behaviour are mediated by body temperature and spatial location within the nest, suggesting that social thermoregulation provides a buffering effect in large colonies. Finally, we demonstrate qualitatively similar effects in size-manipulated microcolonies, suggesting that group size per se, rather than colony age, drives these patterns. Our results provide evidence that colony size is critical in driving sensitivity to stressors and may help elucidate mechanisms underlying the complex and context-specific impacts of pesticide exposure.
... There was not sufficient size variability in our sample of foragers to allow rigorous testing of the influence of body size on learning performance. The low variability was probably also influenced by the association between body size and task performance in bumble bees, as larger bees are more likely to forage [36,[46][47][48][49]. ...
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Circadian clocks regulate ecologically important complex behaviors in honey bees but it is not clear to what extent these observations can be extended to other species of bees. One key behavior is time-memory allowing foraging bees to precisely time flower visitation to periods of maximal pollen or nectar availability and reducing the costs of arriving at a flower patch at the wrong time. It is unclear whether other bees such as bumble bees, who live in smaller societies and forage over shorter distances than honey bees, can similarly associate a reward with time of day. We trained individually marked bumble bee (Bombus terrestris) workers to forage for sugar syrup in a flight cage with yellow or blue feeders rewarding either during the morning or evening. After a two-weeks training session, we recorded all visitations to colored feeders filled with only water. We repeated this experiment twice, with different colonies. We found that bees tended to show higher foraging activity during the morning and evening training sessions compared to other times during the day. Trained bees were more likely to visit feeders with colors rewarding compared to non-rewarding at the same time of day during the training sessions and with relatively fewer mistakes. Our findings lend credence to the hypothesis that efficient time-memory is not limited to species such as honey bees that evolved sophisticated social foraging behaviors over large distances.
... Among worker larvae, variation in either pollen availability and/or nurse bee provisioning effort (as these are interrelated) affects adult body size, lifespan, starvation resistance, glycogen stores, hemolymph sugar levels, dry weight, protein content, pesticide tolerance, immune system function, and propensity to perform nursing, foraging, and perhaps aggressive behaviors (Eischen et al. 1982;Schmickl and Crailsheim 2002;Mattila and Otis 2006;Brodschneider and Crailsheim 2010;Rittschof et al. 2015;Wang et al. 2016;Rittschof et al. 2019). Similarly, in bumble bees, worker larvae receiving less food (which is correlated with nest position) emerge at a smaller body size (Couvillon and Dornhaus 2009), which gives rise to variation in the tendency to perform foraging versus nest building and brood provisioning behaviors during adulthood (Goulson et al. 2002;Foster et al. 2004;Gardner et al. 2006;Jandt and Dornhaus 2009;Chole et al. 2019). ...
Article
Synopsis Across diverse animal species, early-life experiences have lifelong impacts on a variety of traits. The scope of these impacts, their implications, and the mechanisms that drive these effects are central research foci for a variety of disciplines in biology, from ecology and evolution to molecular biology and neuroscience. Here, we review the role of early life in shaping adult phenotypes and fitness in bees, emphasizing the possibility that bees are ideal species to investigate variation in early-life experience and its consequences at both individual and population levels. Bee early life includes the larval and pupal stages, critical time periods during which factors like food availability, maternal care, and temperature set the phenotypic trajectory for an individual’s lifetime. We discuss how some common traits impacted by these experiences, including development rate and adult body size, influence fitness at the individual level, with possible ramifications at the population level. Finally, we review ways in which human alterations to the landscape may impact bee populations through early-life effects. This review highlights aspects of bees’ natural history and behavioral ecology that warrant further investigation with the goal of understanding how environmental disturbances threaten these vulnerable species.
... competition and mate selection), do not occur in social insect workers (Lindenfors 2005;Dunbar and Shultz 2007). Our results suggest that, despite size being the predominant polyethistic factor in B. terrestris-with larger workers being mostly foragers and smaller workers mostly feeding and incubating brood (Jandt and Dornhaus 2009;Holland et al. 2021)-their capacity for associative learning is not limited by size, and therefore role, within a colony. ...
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Eusocial insect colonies act as a superorganism, which can improve their ability to buffer the negative impact of some anthropogenic stressors. However, this buffering effect can be affected by anthropogenic factors that reduce their colony size. A reduction in colony size is known to negatively affect several parameters like brood maintenance or thermoregulation, but the effects on behaviour and cognition have been largely overlooked. It remains unclear how a sudden change in group size, such as that which might be caused by anthropogenic stressors, affects individual behaviour within a colony. In this study, the bumblebee Bombus terrestris was used to study the effect of social group size on behaviour by comparing the associative learning capabilities of individuals from colonies that were unmanipulated, reduced to a normal size (a colony of 100 workers) or reduced to a critically low but functional size (a colony of 20 workers). The results demonstrated that workers from the different treatments performed equally well in associative learning tasks, which also included no significant differences in the learning capacity of workers that had fully developed after the colony size manipulation. Furthermore, we found that the size of workers had no impact on associative learning ability. The learning abilities of bumblebee workers were thus resilient to the colony reduction they encountered. Our study is a first step towards understanding how eusocial insect cognition can be impacted by drastic reductions in colony size. Significance statement While anthropogenic stressors can reduce the colony size of eusocial insects, the impact of this reduction is poorly studied, particularly among bumblebees. We hypothesised that colony size reduction would affect the cognitive capacity of worker bumblebees as a result of fewer social interactions or potential undernourishment. Using differential conditioning, we showed that drastic reductions in colony size have no effect on the associative learning capabilities of the bumblebee Bombus terrestris and that this was the same for individuals that were tested just after the colony reduction and individuals that fully developed under the colony size reduction. We also showed that body size did not affect learning capabilities. This resilience could be an efficient buffer against the ongoing impacts of global change.
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We quantified the relationships of colony-level factors (number of workers and colony age) with task performance by workers of the bumble bee Bombus bifarius. Worker’s age of first foraging decreased as their colonies aged, which may have caused the observed decrease in worker longevity with colony age. Daily variation in colony nectar foraging rates was related to the number of active foragers, while pollen foraging rates corresponded more strongly with variation in numbers of adult workers. Rates of brood care behavior decreased as the colonies aged, but rates of thermoregulatory behavior (incubation and fanning) did not decrease over time. We conclude that rates of performing some tasks (pollen foraging, brood care) were largely determined by changes in colony demography or correlated variables, while rates of performance of other tasks (nectar foraging, thermoregulation) depended more on external environmental conditions. Most workers switched between two foraging tasks (pollen and nectar collection) and among several in-nest tasks. However, some foragers specialized by focusing their effort on either nectar or pollen. Other workers specialized on in-nest tasks by performing thermoregulatory behavior (incubation and fanning) at significantly higher rates than their nestmates. The task specialists contributed disproportionate amounts of labor to their colonies. Task specialization indicates that workers were not identical in their responses to variation in colony need.
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This paper extends the notion of spatial efficiency in the organization of social insect colonies. We demonstrate for the first time that ants (individually marked workers in three colonies of Leptothorax unifasciatus (Latr.)) are not only faithful to particular positions within the nest, but they also quickly readopt these positions, relative to one another, when the colony emigrates to an entirely new nest site. This phenomenon, which we term social resilience, has implications for the role of learning in the maintenance of an efficient division of labour to which, in part, the great ecological success of social insects has been attributed. As we demonstrate with observations of another three colonies over a period of six months, workers change their positions asynchronously and different age cohorts are intermingled. Thus the reconstruction of colony spatial order cannot be accounted for by age-based task allocation (i.e. age polyethism), as at any one time the colony meshwork represents a heterogeneous mixture of different generations. These findings also show that ant colonies have a much more precise spatial structure and greater cohesion than previously assumed, and demonstrates the importance of detailed quantitative examination of the sociogenesis or developmental biology of these societies.
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Task-switching between foraging and building in workers of Nasutitermes exitiosus (Termitidae), a subterranean, mound-building termite, was investigated using mark-recapture. Foragers were collected from wood-filled drums and marked with Nile blue, whereas builders were collected from the mound by damaging it and collecting the termites that were undertaking repairs; these were marked with Neutral red. Two protocols were followed: the first marked foragers first and then damaged the mound; the second reversed this order, with up to eight drums sampled for foragers over 80 days. In the first protocol, the number of marked foragers that had switched tasks to building (blue-marked workers found in mound samples), was small compared with the number of blue-marked workers that remained foraging (0.7% cf. 1.8% of marked workers). The number of builders that had switched to foraging (red-marked workers found in the first drum sample) was also small in both the first and second protocols (0.3% of original number marked). The numbers of blue-marked foraging workers in drums decreased over time, whereas those for red-marked workers increased. The average decrease in blue-marked workers was ~1.5 workers (first protocol) and 0.5 workers (second protocol), the average increase in red-marked workers was ~2 workers (first protocol) and ~2.4 workers (second protocol). These results indicate that relatively few termite workers switch directly between foraging and building, but suggest that a pool of workers exists that could be directed readily to either task.
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