Keywords
Honeybees, visual, search, target, location, behavioural, adaptation
Honeybees, visual, search, target, location, behavioural, adaptation
In accordance with the three referees' comments, we have made the following changes:
* The title was changed as suggested by two reviewers; the term 'attention' has been removed from the title.
* The topic 'visual attention' is now discussed more completely in the introduction.
* More details about experimental procedure and the rationale behind the experiment were added to Material and Methods.
* An additional analysis about error rates at different distances to the search screen was added. Thereby, the reference to a * 'decision line' was removed from the manuscript.
* The location of bees during flights that terminated in an erroneous decision has been analysed.
* A statement about the possible effects of head movements during flight was added to the discussion.
See the authors' detailed response to the review by Martin Egelhaaf
See the authors' detailed response to the review by Martin Giurfa
See the authors' detailed response to the review by Bruno van Swinderen
When honeybees search for targets presented on a vertical plane, they show a distinct spatial asymmetry in colour and pattern learning between the ventral and the dorsal half of their frontal visual field. They easily learn a target when its defining features are perceived by the ventro-frontal area of the eye, but are less accurate when the crucial features of the target appear in the dorso-frontal area (Baumgärtner, 1928; Chittka et al., 1988; Giurfa et al., 1999; Lehrer, 1999; Morawetz & Spaethe, 2012; Wehner, 1972). Interestingly, this behavioural asymmetry is also found in Drosophila melanogaster (Sareen et al., 2011) – a hint that the ventral part of the frontal eye region may play a central role in visual decision making of flying insects.
This behavioural asymmetry might in theory be explained by specialization in eye morphology. This is found in the eye of the honeybee drone, where the dorsal area is adapted to queen detection by increasing visual acuity and sensitivity, which is partly achieved by enlarged facet diameters and a reduction of the interommatidial angles (Menzel et al., 1991; Seidl, 1982; Streinzer et al., 2013; van Praagh et al., 1980). However, such regional specialisation in eye optics is not found in the worker honeybee, where the interommatidial angles and facet diameters are similar in the frontal visual field 30° below and above the horizontal plane (Seidl, 1982).
It is also possible that regional specialisation of the visual system occurs at the neuronal level. Indeed, ascending neurons of the medulla show differences in arborisation patterns between the ventral and dorsal area (Ehmer & Gronenberg, 2002), indicating that both areas of the visual field are to some extent processed separately. Furthermore, the output of these two areas becomes segregated in the anterior optic tubercle and in the collar of the calyxes of the mushroom bodies (Ehmer & Gronenberg, 2002; Mota et al., 2011). The data hint at differences in neuronal processing between these two eye regions and correspond with the behavioural evidence of a dorso-ventral differentiation (Baumgärtner, 1928; Chittka et al., 1988; Giurfa et al., 1999; Lehrer, 1999; Morawetz & Spaethe, 2012; Wehner, 1972).
Nevertheless, there is evidence suggesting that bees may have the ability to improve discrimination performance in the dorso-frontal area of the visual field, for example when differential conditioning is applied (Giurfa et al., 1999). It is therefore possible that the dorso-ventral asymmetry might be explained by attentional mechanisms, which focus the visual processing capacity of the brain flexibly to the currently most important area in the visual field (spatial attention; Carrasco & McElree, 2001; Druker & Anderson, 2010; Geng & Behrmann, 2002; Posner, 1980; Yantis & Jonides, 1984). Attention can be thought of as a kind of ‘inner’ eye, focusing on a spatial subset of the information that is available from the visual sensory periphery. Attention-like processes in the context of feature learning have been considered in honeybees, bumblebees and fruit flies (Avargues-Weber et al., 2010; Avargues-Weber et al., 2015; Dyer & Chittka, 2004; Giurfa, 2004; Giurfa et al., 1999; Morawetz & Spaethe, 2012; Morawetz et al., 2013; Spaethe et al., 2006; Van Swinderen & Greenspan, 2003; Zhang & Srinivasan, 1994). Spatial attention is well described in vertebrates, but has only recently been explored in two insect species, the fruit fly Drosophila melanogaster (Sareen et al., 2011) and the honeybee Apis mellifera (Paulk et al., 2014).
Spatial attention optimizes search processes in detection tasks, where the subject has an expectation of the appearance of the object, using external cueing or own experience (Posner, 1980). Search efforts can then be directed to this region which leads to faster and more accurate decisions (Carrasco & McElree, 2001). Hence, spatial attention would be a useful tool for foraging bees helping to adapt to various spatial settings of flower distribution. The dorso-ventral asymmetry observed in visual discrimination tasks could be explained by attention being focused on the ventral part of the visual field by default, but the attentional focus could be moved to other parts of the visual field, if necessary. To test if bees can overcome their dorso-ventral asymmetry in visual discrimination tasks, we confronted honeybees with three search scenarios differing in the positioning of the target in the visual field. This approach allows to analyse the changes in search performance and flight behaviour over time and therefore to identify possible adaptations of the search behaviour to the particular target presentation.
The experiments were conducted between July and September in 2011 on the terraces of the Biozentrum, University of Vienna, where several hives of Apis mellifera were located. Bees were trained to an experimental box and marked individually by applying differently coloured paint markings on the thorax. Each honeybee was trained and tested individually in the course of a single day.
A wooden box (30 × 54 × 40 cm) served as experimental arena (Figure 1A; see also Morawetz & Spaethe, 2012). The bees could enter the box through a Plexiglas tube on the front and shutters in the tube allowed to control access to the box. Two video cameras with a frame rate of 25 frames/s (DCR-SR55, Sony, Minato, Tokyo, Japan) were placed above and at one side of the box to record the flights through a small-meshed net and a Plexiglas wall, respectively.
A. Side view of the experimental arena. Bees enter the arena through a Plexiglas tube, view the objects on the search screen (back wall) and fly towards one of them. The bee’s flight could be observed and filmed through a small-meshed net from above and through a Plexiglas wall from the side. The number in the grey shaded area gives the angle of the target subtended on the bee’s eye when viewed from the entrance of the box. B. Reflectance curves of the search screen (grey BG - background), the orange target (HKS 7N) and the blue distractor (HKS 49N). C. Colour hexagon showing the colour loci of the target and the distractor (colour distance of HKS 7N to background: 0.23 hexagon units; HKS 49N to background: 0.25 hexagon units; distance between the two colours: 0.27 hexagon units); calculations after Chittka (1992).
The search screen was divided into nine fields (3 rows by 3 columns) of which only the top and the bottom row were used in the experiments. In the center of each field a platform provided reward for a correct choice (1 M sucrose solution ad libitum) and punishment for an incorrect choice (0.1% quinine solution w/w; Chittka et al., 2003), respectively. Stimulus discs (K + E, Stuttgart-Feuerbach, Germany) of 9 cm diameter were cut from coloured paper; the target discs were orange (HKS 7N) and distractor discs were blue (HKS 49N, for colour details see Figure 1B, C). The stimulus discs subtended a visual angle of >15° on the eye of the bee when sitting at the box entrance, which enabled the bee to perceive chromatic information from the beginning of the search (Dyer et al., 2008; Giurfa et al., 1996). The stimuli were presented on the back wall of the arena subtending a visual field of 82° in the horizontal and 60° in the vertical on the eye of a bee (Figure 1A). Stimuli located in the top row were thus perceived by the dorsal part of the eye, while objects in the bottom row were perceived by the ventral part of the eye, when the bee entered the arena (Figure 1A).
Bees were trained to enter the experimental arena and to search for the orange target on the search screen. During this phase, special care was taken in presenting the target at different heights and positions to avoid any position learning. After the first successful visit of the target, a pre-training phase of 20 foraging bouts followed. During each foraging bout, the bee was allowed to choose between the different positions until it found the target with the sucrose solution. After drinking to satiation, the bee left the arena and flew back to the colony. Only the first choice was counted (for details see ‘Data analysis’).
The position of the target was changed in a pseudo-random pattern: on average, in 50% of the foraging bouts the target was presented in the top row, and in the other 50% in the bottom row. The target discs and feeders were exchanged with clean discs/feeders after every third foraging bout to avoid odour contamination. At the end of the pre-training, bees had learned to search for the orange target and had experienced that the target can be located either in the top or the bottom row.
The pre-training phase was followed by an experimental phase, which consisted of 30 foraging bouts (five blocks, six bouts per block). Bees were divided into three experimental groups. Bees from all groups had to search for one orange target among two blue distractors, but the groups differed in the placement of the objects (see insets of Figure 3). In the ‘dorsal group’, all objects were always placed in the top row; in the ‘ventral group’, they were only presented in the bottom row. In the ‘mixed group’, target and distractors could appear in the top row as well as in the bottom row. The target position was changed in a pseudo-random order assuring that the target was presented in the top row in half of the foraging bouts and in the bottom row in the other half. The distractor positions were changed randomly between the remaining five positions of the two rows. Therefore, bees of the ‘dorsal’ and ‘ventral group’ needed to search only in a subarea of the search field (three possible positions), while bees of the ‘mixed group’ had to search the target within the entire search area (six possible positions).
These three groups allowed testing if and how bees change their search strategy over time when being confronted with targets located in ‘unfavourable’ search locations. Based on the bees’ known dorso-ventral asymmetry in visual discrimination tasks, we expected the bees to find targets in the bottom row (‘ventral group’) fast and accurately, while bees might be more error-prone and take longer decision times in detecting targets in the top row (‘dorsal group’; Morawetz & Spaethe, 2012; Skorupski et al., 2006). The ‘dorsal group’ was thus confronted with objects at ‘unfavourable locations’ during the entire training period. To achieve a fast and targeted search comparable to that for ventrally presented targets, they would have to adapt their search strategy accordingly. Like the ‘ventral group’, bees of this group had the advantage that target location was predictable – here, in the dorsal part of the frontal visual field. The third group, the ‘mixed group’, had to search an area twice as large and were not able to predict in which area (dorsal or ventral) the target may appear.
Search efficiency was measured using two parameters – accuracy and decision time. This allowed to check for possible speed-accuracy trade-offs (Burns & Dyer, 2008; Chittka et al., 2003). A bee's choice was counted as correct decision when she was positioned in front of the target when approaching the search screen (Morawetz & Spaethe, 2012; Spaethe et al., 2006). Naturally, bees needed time to fly towards the detected target and a correct position in space is sometimes only found in the final phase of the approach. To identify the most informative distance for analysing the bees’ decisions in more detail, we evaluated the error probabilities at four different distances between bee and search screen for the first and last learning block. The accuracy of the bees’ position relative to the intended target was determined at 10 cm, 7.5 cm, 5 cm and 0 cm (=landing at the target) distance from the search screen by means of video analysis. Best differentiation between the experimental groups was achieved at 5 cm distance from the search screen (Figure 2). Therefore, further detailed analyses of the search behaviour were based on the bees' position at the distance of 5 cm from the target.
The distance of the bee to the search screen has an effect on the error probability in all groups (D: ‘dorsal group’, M-D: flights of the ‘mixed group’ with targets located in the dorsal row, M-V: flights of the ‘mixed group’ with targets located in the ventral row, V: ‘ventral group’) during the first six foraging bouts (A–D) and during the last six bouts (E–H). The data show error percentages for four different distance to the search screen: 10 cm (A, E), 7.5 cm (B, F), 5 cm (C, G) and 0 cm (D, H). P values give the results of ANOVA comparisons between all four depicted groups. Bars: mean ± s.e.m., N=8 bees for the ‘dorsal group’, N=7 for the other groups (videos for the lateral-view camera were incomplete for some of the 9 tested individuals).
For each bee and each training phase (blocks of six and three foraging bouts, respectively) the proportion of correct to incorrect choices and the median of the decision time was calculated. The decision time was defined as the time the bees needed from entering the box until they reached a distance of 5 cm to the search screen. We calculated the median of the decision time to attenuate potential effects of rare outliers.
We analysed the video recordings using The Observer XT Version 7 (Noldus, Wageningen, The Netherlands) and reconstructed the flight paths of the bees using SkillSpector 1.3.0. (Video4coach, Svendborg, Denmark). To analyse the flight directions (vertical flight angles) of the bees while crossing the arena, we measured the vertical position of the bee at different distances to the search screen and calculated the angle between the flight direction and the horizontal.
Statistics were calculated using the statistical package R version 2.14.1 (R Development Core Team, 2011). We used general linear models to test the effect of treatment group, target location and learning block on accuracy and decision time, respectively. As the behaviour of each individual bee was measured several times during experimental course (repeated measurement design), the identity of the individual bees was embedded into the model as random effect. For analysing the error data, a binomial distribution was applied using the function lmer of the package ‘lme4’ (Bates et al., 2011), while for the decision time, a normal distribution was applied using the same function. Significance levels were determined by calculating a type-III ANOVA using the function Anova (package ‘car’, Fox & Weisberg, 2011). To check if the bees showed a general tendency to fly upwards or downwards during the different flight phases, the flight angles were tested against 0° (horizontal flight) with a Wilcoxon test. Figures were created using Sigma Plot 11.0 (Systat Software Inc., San Jose, USA) and Corel Draw X3 (Corel Corporation, Ottawa, Canada).
As one might predict, bees had higher accuracy when their positions were analysed at a distance closer to the search screen (χ2(3)=29.00, P<0.001; Figure 2A–D), likely due to the fact that they had more time to detect the target and align their flight accordingly. Bees of all groups made about 80% errors during their first six foraging bouts at 10 cm distance from the search screen, but they made nearly no mistakes when landings were counted as decisions (Figure 2A–D). During the last six foraging bouts, a similar pattern was observed (χ2(3)=32.13, P<0.001; Figure 2E–H), although the percentage of errors dropped for most analyzed distances compared to the first bouts. Furthermore, the error probability close to 0% for landings (0 cm distance) suggests that the difficulty of the task was not the discrimination between target and distractor but the detection of the target before reaching the back wall of the experimental box (Figure 2D, H).
Interestingly, a significant difference between the different search conditions (dorsal, mixed-dorsal, mixed-ventral, ventral) was only evident at 5 cm distance during the first six foraging bouts (F(3,25)=7.96, P<0.001; Figure 2C) and at 7.5 cm distance during the last six bouts (F(3,26)=3.19, P=0.040; Figure 2F). We thus performed the detailed analysis for the bees’ position at 5 cm distance because the strongest effect between an easy task and a difficult task at the beginning of the experiment is most evident at this distance. However, the critical distance for analysis may shift due to the bees’ experience, since after extensive training bees may detect the target earlier during flight and problems with target detection will appear earlier during the approach (compare Figure 2C, G).
During the pre-training phase, when only the target was present, bees of all treatment groups showed similar accuracy (χ2(2)=1.37, P=0.502). At the end of pre-training they had learned to approach the target in the bottom row with high accuracy (error percentage: 15% ± 25% s.d., t-test against change level of 83%: t(25)=-22.02, P<0.001). However, they still failed to choose the target above chance level when it was located in the top row (error percentage: 65% ± 33%; t(25)=-1.46, P=0.157). Hence, as predicted, bees displayed a dorso-ventral search asymmetry during pre-training, and found targets located in the bottom row four times more accurately than targets located in the top row.
At the end of the experimental period, bees of all groups were able to detect the target at all presented locations above chance level (Figure 3; ‘ventral group’: t(8)=-12.02, P<0.001; ‘dorsal group’: t(8)=-11.64, P<0.001; ‘mixed group’ – ventral target: t(8)=-9.39, P<0.001; ‘mixed group’ – dorsal target: t(8)=-3.91, P=0.004; see also dataset 2). However, the speed of improvement differed significantly between the three groups (interaction treatment group × learning block: χ2(8)=19.58, P=0.012).
Error percentage at 5 cm distance to the search screen is shown for all three treatment groups. Treatments differed in the positioning of the rewarding target and distractors which were associated with a punishment (insets: grey circle = target, black circle = distractor). In the ‘dorsal group’ (straight grey line, grey circle) the target was always presented in the top row, in the ‘ventral group’ (straight black line, black circle) it was always located in the bottom row, and in the ‘mixed group’ the position of the target alternated randomly between both rows (top row: dashed grey line, grey triangle; bottom row: dashed black line, black triangle). A, B. Comparison between the one row condition and the two row condition separated in foraging bouts where the target appears in the bottom row (A) and bouts with the target in the top row (B). C. Comparison of the first 12 foraging bouts of the ‘dorsal group’ and the ‘ventral group’. Statistics: general linear model with binomial distribution: n.s. P>0.10, * P<0.05, ** P<0.01, *** P<0.001; data points: mean ± s.e.m., N=9 individuals per group.
Bees of the group presented with targets in the ventral visual field showed a constant performance during the experimental phase with a mean error percentage of 17% ± 14 s.d. (χ2(4)=2.72, P=0.606; Figure 3A, straight line). In contrast, when bees were presented with targets in the dorsal visual field, they made about twice as many mistakes at the beginning of the experimental phase than at the end (χ2(4)=12.84, P=0.012; Figure 3B, straight line). The main change in learning performance in the ‘dorsal group’ took place between the first and second learning block; thus we analysed the first 12 foraging bouts in more detail, subdividing them into blocks of three (Figure 3C). During the first three bouts, bees of the ‘dorsal group’ made four times more mistakes than bees of the ‘ventral group’ (z = 2.77, P=0.006; Figure 3C). After this initial phase, both groups achieved similar levels of accuracy (all further learning blocks: P>0.05; Figure 3C).
The ‘mixed group’ was the only group in which the target and distractors were presented in both the ventral and the dorsal part of the visual field. Similarly to the ‘dorsal group’, bees improved their accuracy during the experimental phase (χ2(4)=9.54, P=0.049). Bees of the ‘mixed group’ made fewer mistakes when the target was presented in the ventral row compared to the situation when it was presented in the dorsal row (χ2(1)=5.27, P=0.022; Figure 3A, B dashed lines). Next, we analysed both data sets separately and compared them to the correspondent single row treatment group (Figure 3A: flights of the ‘mixed group’ when the target was ventrally presented compared to the ‘ventral group’; Figure 3B: flights of the ‘mixed group’ when target was dorsally presented compared to the ‘dorsal group’). The performance of bees from the ‘mixed group’, when searching for a ventral target, was similar to the performance of the ‘ventral group’ where the target was always presented ventrally (χ2(1)=0.35, P=0.556; Figure 3A). Furthermore, bees of the ‘mixed group’, when searching for ventral targets, showed a constant performance during the experimental phase (χ2(4)=3.90, P=0.420). However, they made significantly more mistakes than bees of the ‘dorsal group’ in finding a dorsally positioned target (χ2(1)=7.69, P=0.006; Figure 3B). Nonetheless, the ‘mixed group’ improved their performance for dorsal targets (χ2(4)=14.05, P=0.007), and in the fourth learning block, bees managed to achieve a similarly low error percentage as the bees of the ‘dorsal group’ (Figure 3B).
All three experimental groups became faster during the experiment (χ2(4)=16.83, P=0.002; Figure 4), but the decision time did not differ among treatment groups (χ2(2)=1.04, P=0.595) or in the interaction of both factors (χ2(8)=10.00, P=0.265). However, bees of the ‘mixed group’ were slower when the target was presented in the top row than when it was presented in the bottom row (χ2(1)=28.6, P<0.001). Bees of the ‘dorsal’ and ‘ventral group’, on the other hand, showed similar decision times during most of the time (χ2(1)=0.24, P=0.624). However, during the first foraging bouts flights, bees of the ‘dorsal group’ were significantly slower than bees of the ‘ventral group’ (t(13.1)=2.21, P=0.045; Figure 4C).
Decision time of the three experimental groups: ‘ventral group’ (black straight line, black circle), ‘dorsal group’ (grey straight line, grey circle) and ‘mixed group’ (ventral half: black dashed line, black triangle; dorsal half: grey dashed line, grey triangle). A. When searching for the target in the ventral half of the visual field, the bees of the ‘mixed group’ made their decision at a similar speed as the ‘ventral group’ (χ2(1)=0.00, P=0.979). They did not improve their performance (χ2(4)=2.25, P=0.689). B. Comparing the ‘dorsal group’ with the dorsal bouts of the ‘mixed group’, the bees showed no significant difference in their decision time (χ2(1)=3.02, P=0.082). All bees became faster in the course of the experiment (χ2(4)=22.84, P=0.001). C. Comparison of the ‘dorsal’ and the ‘ventral group’. Only during the first three foraging bouts the ‘dorsal group’ was significantly slower than the ‘ventral group’ (t(13.10)=2.211, P=0.045), afterwards bees of both groups had similar decision times (all other data points P>0.05). Statistics: t test: n.s. P>0.10, x P<0.10, * P<0.05; data points: mean ± s.e.m., N=9 per group.
When analysing the flight structure of the first foraging bouts in detail, it became evident that bees of the ‘dorsal group’ increased the steepness of their departure angle (flight angle between 0 and 5 cm distance from the entrance) significantly from the first to the third foraging bout (Figure 5; Wilcoxon test between first and third bout: P<0.05). During their first bout, they started horizontally into the box (median flight angle 5.9°, Figure 5), but from the third bout on they flew upwards when taking off (median flight angle third flight: 12.1° upwards; fifth flight: 10.0° upwards). This change in flight structure indicates that the bees decided earlier to fly upwards in their third foraging bout compared to their first bout. All other experimental groups showed median departure angles between 7° downwards and 5° upwards – no significant trend in flying up- or downwards during the departure was found.
Median flight angles of different phases in the bee’s flights crossing the experimental arena from the entrance (0 cm) to 25cm from the entrance (i.e. 5cm from the targets). For all four search situations the first (black arrows), the third (blue arrows) and the fifth foraging bout (green arrows) are shown (N=7 – videos for the lateral-view camera were incomplete for some of the 9 tested individuals). In the mixed group the flight number refers to number of foraging bouts absolved with the particular target location (top row or bottom row) and not to the total number of bouts the bee has absolved (all foraging bouts regardless of the target location). Arrows: median flight angles; grey area: first to third quartile; statistics: one-sample Wilcoxon test against 0° (flight without significant trend of changing flight height).
When the target was located in the bottom tier, the bees’ flight was composed of downward angles during most of their flight path, suggesting a continuous downward flight (Figure 5, Figure 6). Bees searching for a dorsally located target, however, differed in their flight structure between treatment groups: bees of the ‘mixed group’ flew in a steep angle downwards during the first flight period (maximum flight angle 40° downwards) and showed a significant upwards direction between 20 and 25 cm distance from the entrance (median flight angle between 33° and 58° upwards, Figure 5). During the fifth foraging bout of the experimental phase with the target in the top row, these bees lost their tendency to fly downwards at the beginning of their flight and flew straight forward for the first 20 cm and ascended steeply afterwards. Bees of the ‘dorsal group’ flew horizontally between the first 5 to 20 cm, with some animals already beginning to ascend. Between 20 and 25 cm they ascended in a steep angle of around 25° similar to the animals of the ‘mixed group’. Therefore, all bees searching for a top row target approached the target from below. Flight paths of individual bees demonstrate the described differences of the three different groups (Figure 6).
The flight paths describe the differences in flight behaviour among the three experimental groups. The 16 squares represent cross sections of the flight box with the bee entering the box from the left side searching for the target (presented on the right side; orange bar). For each experimental group three individual bees are shown (straight black line, dashed black line, dashed grey line).
The exploration of the flight path of the bees when making a mistake further facilitates understanding the possible reasons for erroneous choices. During most erroneous choices, bees of the ‘dorsal’ and ‘ventral‘ group were at the same height as the target at 5 cm distance (‘dorsal group’: χ2(2)=18.84, P<0.001; ‘ventral group’: χ2(2)=18.43, P<0.001; Figure 7) – i.e. bees of the ‘dorsal group’ were at the height of the top row and bees of the 'ventral' group were at the height of the bottom row. However, they were positioned at the incorrect horizontal location. In both groups, bees made most mistakes by approaching the target row in the central position (‘dorsal group’: 51% of all mistakes occurred in the centre of the top row; ‘ventral group’ 42% of all errors occurred in the centre of the top row; see also Dataset 5). This suggests that a high percentage of errors originated from situations where bees were heading for the correct tier of stimuli, but had not yet decided which of the objects to approach.
The exploration of the flight path of the bees when making a mistake further facilitates understanding the possible reasons for erroneous choices. During most erroneous choices, bees of the ‘dorsal’ and ‘ventral‘ group were at the same height as the target at 5 cm distance (‘dorsal group’: χ2(2)=18.84, P<0.001; ‘ventral group’: χ2(2)=18.43, P<0.001; Figure 7) – i.e. bees of the ‘dorsal group’ were at the height of the top row and bees of the 'ventral' group were at the height of the bottom row. However, they were positioned at the incorrect horizontal location. In both groups, bees made most mistakes by approaching the target row in the central position (‘dorsal group’: 46% of all mistakes occurred in the centre of the top row; ‘ventral group’ 52% of all errors occurred in the centre of the top row; see also Dataset 5). This suggests that a high percentage of errors originated from situations where bees were heading for the correct tier of stimuli, but had not yet decided which of the objects to approach.
A decision error occurs when the bee steers towards a distractor or an empty position (here shown for a distance of 5 cm from the search screen). (A–D) Error frequency for the different locations (3 rows x 3 columns) for all experimental groups (colour code see explanation on right). The numbers give the mean percentages (+/- s.e.m.) of false decisions at the respective position. N=9 bees per group.
In the mixed group, the positions of bees when making errors were more widely distributed. Bees presented with a dorsal target, when making errors, were positioned mostly in the middle row, where no object was located (χ2(2)=13.72, P=0.001; Figure 7). Again, bees made most errors by approaching a tier of stimuli at a central position (32% of all errors at the central position of the middle row; 15% of the errors at the central position of the bottom row, where chance expectation would be 11%). When presented with a ventrally located target, bees of the mixed groups made somewhat more errors in the top row, though this was not quite significant (χ2(2)=5.84, P=0.054; Figure 7).
In conclusion, the accuracy, decision time and flight path of bees searching for a vertically presented target was partly dependent on the target’s location and partly on the bees’ possibility to predict the target’s location. Searching for ventrally located targets was an easy task – all bees showed high accuracy, short decision times and a direct flight path. The predictability became important in situations in which bees had to detect the target with the dorsal part of their eyes. When the target was always in the top row (‘dorsal group’), bees adapted their search strategy rapidly to the situation –after three foraging bouts they detected the target swiftly, decided accurately and approached the target directly. When the target was positioned randomly in the top or the bottom row (‘mixed group’), the bees showed a more downward directed flight pattern when being confronted with dorsally located targets. As a consequence, these bees took longer in making their decisions and made more mistakes.
We simulated three foraging situations that a bee might encounter in its natural environment: approaching flowers from above (flowers perceived by the ventral part of the eye), foraging within a 3D floral environment, either in a tree or a meadow with flowers at various heights (flowers may appear in the dorsal and ventral part of the visual field) and approaching a flower from below, for example, flying upwards on vertical inflorescences (flowers perceived by the dorsal area of the eye). We demonstrated that bees were able to adapt their detection strategy to all three foraging situations, although the course of performance improvement differs among the experimental conditions. In the following paragraphs, we discuss the possible proximate and ultimate mechanisms underlying this behavioural flexibility.
Bees of this group were presented with one target and two distractors in the bottom row. They decided accurately and swiftly and had a downwards directed flight vector. It is therefore possible that bees, by default, focus on the ventral part of the frontal visual field when being confronted with vertically presented objects, a behaviour which might explain the dorso-ventral asymmetries in visual discrimination observed by several independent studies (Baumgärtner, 1928; Chittka et al., 1988; Giurfa et al., 1999; Lehrer, 1999; Morawetz & Spaethe, 2012; Wehner, 1972).
In the ‘dorsal group’, both target and distractors were presented in the top row. During the initial foraging bouts, bees’ search was inaccurate and slow compared to the ‘ventral group’. The bees flew straight ahead for the first 20 cm in the experimental arena and then turned upwards in a steep angle during the final approach. After the first three bouts, bees showed two major changes in their behaviour: (1) the error percentage dropped from 40 to 20% (Figure 3C) and (2) they changed their departure angle from horizontal to, on average, 11° upwards (Figure 5), a behaviour which was exclusively shown by the ‘dorsal group’.
The ultimate reason for the bees’ improvement may be explained by the ability to build up expectations about the future location of the target in space and to adapt their search strategy accordingly. This would mean that bees had learned that it is most likely that the target appears in an ‘unfavourable’ location. Two types of proximate mechanisms are possible which might enable the improvement of target detection with experience. Firstly, a top-down attentional mechanism could have accelerated processing of information from the dorsal part of the frontal visual field by shifting the attentional focus to this area. In this case, bees might have detected the target stimulus just after entering the experimental arena and started an upward flight towards the top row. Alternatively, bees could have learned to adjust their flight path to the area where they expected the target: they learned to initiate an upward flight immediately after entering the arena before detecting the target. By flying upwards they were able to analyse the top row with the ventral part of their eye and therefore increase their accuracy. Evidence for both mechanisms comes from earlier studies: bees can learn to perform directional changes and changing flight routes to optimize foraging success (Cheng & Wignall, 2006; Lihoreau et al., 2010; Perry & Barron, 2013), as well as use attentional processes to selectively react to visual stimuli (Giurfa et al., 1999; Paulk et al., 2014; Spaethe et al., 2006). However, our results do not allow discriminating between both mechanisms.
In addition, it is also theoretically possible that bees may learn to lift their head towards the target by changing their head angle and therefore perceive the top row with the ventral parts of their eyes. Unfortunately, our video resolution is not sufficient to allow measurements of head angle in relation to body axis. Further studies using high resolution cameras are necessary to investigate if bees can move their heads upwards while approaching dorsally positioned targets (Boeddeker et al., 2010, Riabinina et al., 2014).
Bees of the mixed group were confronted with one target and two distractors, which were randomly distributed between the bottom and top row. During most foraging bouts, objects were located in both the bottom and the top row. Hence, the search strategy of the ‘mixed group’ was fundamentally different from the two other groups. Bees were not simply able to fly towards a group of objects, but had to decide which group of objects was relevant for them, i.e. contained the target. At the beginning of the experiment, bees flew downwards regardless of the target position – probably executing their ‘default’ behavioural pattern and flying towards the lowermost objects. This behaviour resulted in a high accuracy when the target showed up in the bottom row, but in a low accuracy and long decision time when the target appeared in the top row. Furthermore, our data indicate that bees detected ventrally located stimuli first, but analysed the chromatic features of the stimuli (which are necessary for discriminating between target and distractors) only later during flight.
Bees of the mixed group had to change their flight pattern to improve the search for targets located in the top row. A downwards orientated flight route can hamper the detection of a dorsally located target due to an unfavourable angle of view for objects in the top row. Additionally, it makes complex course corrections necessary (demonstrated by the flight curves in Figure 6). Indeed, bees of the ‘mixed group’ stopped flying downwards in the first part of their flight after their tenth foraging bout (Figure 5) and instead flew horizontally before deciding for an upwards or downwards movement.
Additionally, bees of the mixed group may have used visual attention to increase the detection performance of targets located in the top row. For example, bees could have increased the area of their attentional focus to a size large enough to cover both rows. This would have allowed to process all presented objects simultaneously (Eriksen & St. James, 1986; Pashler, 1987). In humans, an increase in the size of processing focus is normally accompanied by a decrease of processing quality (Castiello & Umiltà, 1990; Eriksen & St. James, 1986). We did not find a decrease of performance level in the search for ventrally located target in the ‘mixed group’, which makes this explanation unlikely. An alternative search mechanism might be that bees learn to move their attentional focus from the ventral part of the visual field to the dorsal part after they had not detected a target in the ventral part. This explanation fits with the constant high search performance for targets in the bottom row and with longer decision times and late upward directed flight vectors, when searching for a target in the top row. The low accuracy in the first part of the experiment probably owes to the learning process, in which the bees (1) learned to avoid flying downwards immediately after entering the arena and (2) learned to continue searching the top row when the target could not be detected in the bottom row.
When searching for a flower patch, bees often approach the meadow or tree from above (Kevan, 1990; Lehrer, 1999) – a situation represented by the conditions of the ‘ventral group’. Bees seem especially capable to deal with this type of search, as they detect ventrally positioned targets more easily (Figure 3A; Lehrer, 1999; Morawetz & Spaethe, 2012; Skorupski et al., 2006). However, when bees are foraging in a meadow with flowers at various heights, flowers can also appear in the upper part of the visual field and information received from the dorsal part of the eyes become important. For example, bees which visit raceme inflorescences tend to begin collecting nectar at the bottom of the inflorescence and ascend vertically step by step (Fisogni et al., 2011; Ishii et al., 2008; Pyke, 1978; Valtueña et al., 2013; Waddington & Heinrich, 1979). In this situation the flowers below the just probed ones, which are perceived by the ventral visual field, are typically empty, because the bee had just visited them (Heinrich, 1975; Ishii et al., 2008). To optimize foraging efficiency, bees must focus visual processing on the dorsal part of the visual field or adopt an upward directed motor pattern. We demonstrated that bees can adapt to this situation, improving their detection ability of dorsally located targets within three visits only (Figure 3C).
When foraging in a blooming tree, a bee can expect a rewarding flower appearing in the ventral and the dorsal visual field with a similar probability. Flowers are densely distributed in a tree and bees normally see several flowers simultaneously. Interestingly, large bees like Bombus and Xylocopa reveal a complex pattern of upwards and downwards movements inside a tree: when moving between neighbouring flowers, they move upwards, similar to the movement pattern on a vertical inflorescence (Kevan, 1990). However, when moving to an inflorescence at distance larger than 20 cm they tended to fly downwards (Kevan, 1990). This behaviour matches our observation that bees tend to fly to the lowermost object when approaching from a distance. However, we also demonstrated that bees can overcome this motor pattern within 10 learning trials, when it hinders the bees’ foraging success. Likewise, Kevan (1990) described that movement patterns of bees differed between tree species with different flower distributions and suggested that bees optimize their foraging strategy to the particular resource distribution.
In conclusion, we showed that bees flexibly adapt to a given foraging situation by focusing their detection and discrimination effort to the appearance of the object within their visual field. They probably use both attentional mechanisms and behavioural strategies to optimize their foraging success, although more data are needed to clearly separate between these mechanisms. This flexibility provides the ability to choose among different search strategies and to quickly adapt to various foraging environments.
figshare: New datasets for strategies of Apis mellifera during visual search for vertical targets, doi: http://dx.doi.org/10.6084/m9.figshare.1297290 (Morawetz et al., 2015).
LM and JS conceived the study and designed the experiments. LM carried out the research and performed the data analysis. LM, LC and JS were involved in data interpretation and writing the manuscript. All authors were involved in the revision of the draft manuscript and have agreed to the final content.
L.M. was recipient of a DOC-fFORTE fellowship of the Austrian Academy of Science at the Department of Integrative Zoology, University of Vienna. L.C. is supported by an ERC Advanced Grant and a Royal Society Wolfson Research Merit Award.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
We are grateful to Kerstin Stejskal for help with video analyses and Martin Streinzer for performing the spectral reflectance measurements. We thank Stephan Wolf and the three reviewers (Bruno von Swinderen, Martin Egelhaaf, Martin Giurfa) for helping to improve the manuscript significantly.
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Competing Interests: No competing interests were disclosed.
Competing Interests: No competing interests were disclosed.
Competing Interests: No competing interests were disclosed.
Competing Interests: No competing interests were disclosed.
Competing Interests: No competing interests were disclosed.
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