Falling Victim to Wasps in the Air: A Fate Driven by Prey Flight Morphology?

Abstract

In prey-predator systems where the interacting individuals are both fliers, the flight performance of both participants heavily influences the probability of success of the predator (the prey is captured) and of the prey (the predator is avoided). While the flight morphology (an estimate of flight performance) of predatory wasps has rarely been addressed as a factor that may contribute to explain prey use, how the flight morphology of potential prey influences the output of predator-prey encounters has not been studied. Here, we hypothesized that flight morphology associated with flight ability (flight muscle mass to body mass ratio (FMR) and body mass to wing area ratio (wing loading, WL)) of Diptera affect their probability of being captured by specialized Diptera-hunting wasps (Bembix merceti and B. zonata), predicting a better manoeuvrability and acceleration capacity achieved by higher FMR and lower WL, and flight speed achieved by higher WL. In addition, wasp species with better flight morphology should be less limited by an advantageous Diptera flight morphology. Overall, the abundance of dipterans in the environment explained an important part of the observed variance in prey capture rate. However, it was not the only factor shaping prey capture. First, higher prey abundance was associated with greater capture rate for one species (B. merceti), although not for the other one. Second, the interaction observed between the environmental dipteran availability and dipteran WL for B. zonata suggests that greater dipteran WL (this probably meaning high cruising speed) decreased the probability of being captured, as long as fly abundance was high in the environment. Third, greater dipteran FMR (which likely means high manoeuvrability and acceleration capacity) helped to reduce predation by B. merceti if, again, dipterans were abundant in the environment. Wasp WL only varied with body mass but not between species, thereby hardly accounting for inter-specific differences in the wasps’ predatory patterns. However, the greater FMR of B. zonata, which implies better flight performance and greater load-lifting capacity, may explain why the capture rate in the two wasp species is affected by different factor interactions. In conclusion, although prey availability remains the primary factor shaping prey use, prey flight morphology seems to gain an additional role under conditions of abundant prey, when wasps can avoid flies with better flight ability.

Introduction

Predation is a heavy driving force for the evolution of morphological and physiological traits [1]. Prey and predators are contestants in a continuous arms race on an evolutionary timescale, owing to the implications that success by either party may have on each other’s fitness [2]. However, prey-predator encounters are asymmetric interactions, as a failure by the predator means a missed meal, whereas a failure by the prey results in death. Thus, the ability of the prey to escape the predators should have become evolutionarily actively involved in the predator’s success or failure, in such a way that their own morphological features, apart from those of the predators, are decisive in determining the final result of the predation events. Combes et al. [1] have already remarked that beside the study of the active prey choice of predators, assessing the prey characteristics, such as their behaviour, biomechanics and ecology, is essential for addressing prey-predator interactions in a proper, non-fragmentary fashion. The existing background in the study of prey-predator interactions shows how much prominence has traditionally been given to predators’ attributes (for example, foraging behaviour and hunting-related morphology) and to the “passive” traits of the prey, such as their size, the odour enabling their localization by the predators, the microhabitats inhabited and the temporal prey-predator overlap [3–16]. In contrast, less often has the success or failure during a predation event been approached as dependent on the ability of the prey to actively evade a predator’s attack [1, 17–19]. Previous studies, mainly on birds, have highlighted the large extent to which prey behaviour and morphology contribute to the outcome of predator-prey interactions, ultimately shaping the diet of predators [20–27]. Insects include important groups of predatory animals for which similar mechanisms could operate, and thus deserve a deeper research in this respect.

One putative trait of flying insect prey that could be analysed within this framework is the morphology of the body parts related to flight. Flight-associated morphology influences different aspects of flight activity, such as speed, manoeuvrability (which generally indicates the ability to change the speed and direction of the movement [5, 28]) and load-lifting capacity (i.e. the maximum load that could be carried in flight) [18, 29–35]. The relationship between morphology and flight capacity may sometimes be difficult to interpret: for example, the influence that morphology has on the mentioned aspects may also be subject to the “type” of flight performed (clap-and-fling versus conventional wingbeat fliers, see [29]). Speed and manoeuvrability are, in turn, involved in the chance of the prey escaping a predator, and/or in the predator’s ability to hunt a prey [15–17, 26, 36].

Flight performance may be estimated through different indices that take into account morphological features; amongst them, the flight muscle ratio (ratio of flight muscle mass to body mass, FMR) and the wing loading (ratio of body mass to wing area, WL) have been empirically recognized as two of the most accurate for conventional wingbeat fliers [29], which are the subjects studied in the present work. These morphological features have been used consistently in ecological studies involving indirect evaluation of flight ability [14, 16, 29, 37, 38]. The FMR accounts for 99% of the load-lifting capacity of an animal [29], and positively affects acceleration and the ability to perform rapid changes in speed and flight direction [36, 39–42]. For their part, WL has been reported to have complex effects on flight ability. From one side, animals with relatively large wings compared to body size enjoy proficient manoeuvrability [21, 43], can fly more efficiently (in energy-saving terms) [41, 43, 44], and are able to take off at higher speeds [45], such patterns having been observed in butterflies, birds and bats [21, 27, 41, 43–45]. On the other side, WL is positively correlated with cruising flight speed, a pattern detected in butterflies [17, 36, 45, 46].

In line with the predator-biased approach generally carried out in the study of the prey-predator systems in insects, in central-place hunting wasps (Hymenoptera: Apoidea and Vespoidea), wasp flight morphology, together with wasp body mass, have been previously assessed to try to explain why some prey species are abundantly hunted, while others are rarely represented or even absent in their prey spectra. For example, at the individual level, greater FMR values and body masses are known to allow females to transport larger prey to the nest, whereas lower values of both parameters prevent wasps from including heavy prey in the diet of their larvae [47–52]. Nevertheless, whether the flight morphology of the potential prey also affects the probability of being hunted by the wasps still remains unknown.

In the present study, we aim to assess this topic using two hunting wasp species (Bembix merceti Parker, 1929 and Bembix zonata Klug, 1835 (Hymenoptera: Crabronidae)), and their only prey (Diptera) as models. Despite the fact that the Iberian sand wasps of the genus Bembix restrict their prey to flies, they are considered to a large extent plastic or opportunistic regarding their prey use, in such a way that they have been observed to exploit different dipteran species, depending on the year or population studied [15, 53]. The environmental availability of the different fly species in the neighbourhood of the wasps’ nesting area has been shown to be extremely important in shaping prey use in digger wasps; nevertheless, it has been observed that divergences between the available and the captured prey may occur, in such a way that some potential prey species can be overhunted (i.e. captured at frequencies higher than those expected from their availability), and others almost ignored despite their great availability [11, 12, 15, 53]. Prey body mass partially accounts for this deviation from opportunism [11, 12, 15], but still an important portion of variance remains unexplained.

We hypothesize that the flight morphology of the prey may also account for prey use. Specifically, based on the predictions of flight performance (estimated from flight morphology), we hypothesize: 1) that greater FMR and lower WL values are associated with dipterans little represented among the prey, because they presumably have a greater escape capability or are more difficult to capture; and 2) that the wasp species with greater FMR and lower WL is less affected by the flight morphology of the flies, and thus will be able to successfully catch dipterans with higher FMR and lower WL values.

Materials and Methods

Prey-predator systems and study area

The Mediterranean predatory digger wasps B. merceti and B. zonata are central-place foragers [16], that travel from the nest to different resource patches to get provisions for their larvae, going back to the nest with a single prey per trip. Previous research has reported many species of flies belonging to up to eight families (Anthomyiidae, Asilidae, Bombyliidae, Calliphoridae, Muscidae, Syrphidae, Tabanidae and Therevidae, in the case of B. zonata; Bombyliidae, Calliphoridae, Muscidae, Sarcophagidae, Stratiomyidae, Syrphidae, Tabanidae and Tachinidae, in the case of B. merceti) as prey of these wasps [15, 54–60].

The study was carried out in June-August of 2009, 2010 and 2011 in the neighbourhood of Almarail (province of Soria, NE Spain), in a siliceous and sandy area covered with sparse shrubby vegetation, largely shared by the females of both predator species (see Asís et al. [15, 61] for a more detailed description of the study site and the nest aggregations). During 2009 and 2010, wasp females were marked, weighed and monitored, and their prey obtained; also during these years, the environmental availability of dipterans was surveyed. In 2011, a number of prey and predators were obtained to calculate their FMR and WL. Some dipterans belonging to the species Sphaerophoria scripta (L., 1758) were collected to test for sex-based differences in the values of the flight-related morphological traits (see below).

Sample collection

In 2009–2010, the nests of 24 females of B. merceti and 21 of B. zonata were located and monitored to obtain the dipterans, which were stolen from the wasps when they returned to their nests after provisioning flights. A total of 276 prey from B. merceti females and 212 from B. zonata ones were obtained; subsequently, they were weighed, killed by freezing, stored in vials, pinned and identified to species/morphospecies [15].

To evaluate the abundance of the fly species available in the environment, in 2009–2010 we performed 5-minute hourly surveys of dipterans in the surroundings of the nesting area (to a distance of 300 m from the centre of the nesting area, as this is the maximum distance where marked Bembix females have been previously recaptured [15]). These samplings were taken between 11:00 and 18:00 h, the time when Bembix females concentrate their hunting activity [15, 57], over 12–16 days, collecting all the observed fly individuals with an entomological net. One to four individuals of each species/morphospecies from this sample were frozen and pinned for determination, and the rest were identified in situ based on the previously determined specimens, weighed immediately (within 5–10 minutes after the end of each 5-minute sampling), and released. A total of 454 dipterans, spanning 10 families and 50 species, were sampled.

In 2011, one to four individuals of each of these 50 species/morphospecies (overall, 87 individuals), and 17 Bembix females (10 B. merceti and 7 B. zonata) were collected from the environment as they were encountered (capturing the first individuals encountered, without any kind of selection), using an entomological net, and used for the characterization of flight morphology (see below). Owing to limitations in our access to the necessary equipment to perform a correct processing of the insects for their morphological analysis (i.e. a freezer near the field to keep the samples in good conditions until their processing), the sample collection for this part of the study had to be restricted to 2011.

During the sampling, flies could not be sexed because of the generally scarce dimorphism in external morphology (to the observer’s eyes). However, a number of studies with insects (including Diptera) have detected sex-based variations in body size, FMR and WL [62–64]. Thus, we tested, from an independent sample of flies (15 females and 14 males) collected with an entomological net in a neighbouring site, the sexual dimorphism of Sphaerophoria scripta (with regard to their body size, thorax mass, wing area, WL and FMR), a species in which males and females are relatively easier to distinguish, and the species far more represented (>60%) in both the environment and among the prey of both predator species, and in both 2009 and 2010 (see Results). We were unable to repeat the same control for all the prey species, but we think that, owing to the extreme abundance of this species both in the environment and among the captures, it is possible that the trend shown by S. scripta is the one that prevails overall in the collected dipteran sample.

Morphological analysis

Flies and wasps collected for the morphological analysis were first weighed to the nearest milligram. Then, their thoraces and wings were carefully withdrawn from the rest of the body, using a pair of sharp entomological tweezers, and processed separately. The thoraces were weighed, and the flight muscle mass was estimated as 95% of the thorax mass, the value empirically obtained by Marden [29] for both Diptera and Hymenoptera. The FMR was then calculated as the flight muscle mass divided by the total body mass of each individual. The wings, for their part, were glued to sheets of white paper, scanned at 400 ppi resolution, and the images analysed with the software ImageJ (National Institutes of Health of the USA), where the wing area was calculated. Only one wing per individual was processed in the case of the dipterans (left wing), and the two left wings were utilized in the case of the wasps, multiplying by two the output values to get the total wing surface for each individual. WL was calculated as the ratio of total body mass (g) to total wing area (cm²).

Using the flight muscle mass and the body mass, we estimated the theoretical maximum load (or maximum prey mass) that a wasp is able to carry in flight, by means of the regression equation of maximum lift force versus flight muscle mass for bees and wasps provided in Table 5 of Marden [29].

Statistical analyses

In our sample of flies processed to obtain the flight-related parameters, we calculated the mean WL, FMR and body mass for each of the species; then we transformed WL into their natural logarithm to achieve normality, and conducted linear regressions to assess the potential linear relationships between the species’ body mass and FMR, between their body mass and WL, and between their FMR and WL. Because thorax mass and wing area can potentially scale allometrically with body mass, as it has previously been observed, in particular for WL (e.g, [38, 46, 65, 66]), we tested for allometric relationships with the Major Axis Regression method, which accounts for the variation in both variables, not only in the independent variable (body mass). This method calculates the slope of the log-log regressions, together with the 2.5% and 97.5% confidence intervals. If the predicted isometric slopes fall outside the confidence intervals, the dependent variables scales allometrically with the independent variable, otherwise the relationships are isometric. These tests were performed with the software R 3.2.3 (lmodel2 package).

We carried out ANCOVAs (one per each wasp species), with a manual stepwise backwards procedure, where only the variables with P<0.05 (or those taking part in a significant interaction) were kept in the model, to determine the factors involved in the lesser or greater predation frequency of the different prey species, where the response variable was the capture frequency of the different prey species (square-root transformed to achieve normality). We initially included as explanatory variables “environmental availability” (i.e. the abundance of a fly species in the environment, expressed as the absolute number of individuals belonging to this species in each of the years, square-root transformed for the sake of normality), “FMR” (mean value per species), “WL” (mean value per species), “year” and the interactions “environmental availability*FMR”, “environmental availability*WL”, “environmental availability*year”, “FMR*WL”, “FMR*year” and “WL*year”, and relied on the Type III ANOVA to decide which variables to keep in the model. ANCOVAs with a similar stepwise procedure were applied to our sample of 17 female wasps used to characterize flight morphology, in order to analyse the differences in FMR, WL, and wing area (fourth root-transformed to achieve normality) between wasp species, initially using as explanatory variables “wasp mass”, “wasp species” and “wasp mass*wasp species”. Possible linear relationships between the FMR and the WL of the wasps were investigated through a linear regression. ANOVAs were run to compare the effects on prey capture of the dipteran FMR, WL and environmental availability between the two years studied.

In our sample of 45 marked females, Student’s t-tests were used to look for differences of body mass between the females of the two Bembix species, and to compare the theoretical maximum load between both species of predators.

These statistics were carried out with XL STAT 2012 (Addinsoft).

The raw data used to perform these analyses are offered as Supporting Information (see S1 Dataset).

Ethics statement

The necessary permits to perform the observation, manipulation and collection of insects were obtained yearly from the Junta de Castilla y León. The experiments performed for the development of this study obey the current Spanish law.

Results

Prey of B. merceti and B. zonata consisted of Diptera belonging to the families Bombyliidae, Calliphoridae, Syrphidae, Sarcophagidae, Stratiomyidae, Tabanidae and Tachinidae. A total of 29 species/morphospecies were collected as prey, with the syrphid Sphaerophoria scripta being by far the most abundant prey species (representing 51.63–77.17% of the dipterans hunted by B. merceti, 34.23–69.84% of the dipterans captured by B. zonata, and 40.42–61.10% of those available in the environment, depending on the year). Males of S. scripta turned out to be slightly larger than females (Student’s t-test, t₁₉ = 2.150, P = 0.045) and had greater thorax mass than females (Student’s t-test, t₁₈ = 2.920, P = 0.009). However, males and females did not differ in terms of wing area (Student’s t-test, t₂₇ = -1.500, P = 0.14) or WL (Student’s t-test, t₂₇ = -0.71, P = 0.48), and only marginally differed in FMR (Student’s t-test, t₂₇ = -1.99, P = 0.056). The extreme abundance of S. scripta, which lacks strong sexual dimorphism in flight morphology, suggests the potential effect of any male-female differences is reasonably weak in the whole sample.

The mean mass of the different dipteran species varied between 7.6 and 296 mg (Table 1). Both thorax mass (R² = 0.92, P < 0.0001) and wing area (R² = 0.76, P < 0.0001) increased with increasing body mass. Perfect isometry occurs with a slope of 1 for mass-mass relationships and 0.6666667 for mass-area relationships. Our analysis showed a slope for wing area of 0.74 and a confidence interval of 0.65–0.83, which includes the predicted value for isometry. On the hand, for thorax mass the slope was 1.11 and the interval was 1.05–1.18, so that the predicted isometric slope of 1 was just below the lower confidence limit, indicating an extremely weak allometric relationship. Mean FMR values for the different dipteran species ranged between 0.136 and 0.597 (Table 1), and mean WL for the different dipteran species varied between 0.026 and 0.194 g/cm² (Table 1). FMR and WL were not correlated across fly species (linear regression, R²adj. = -0.021, P = 0.976). Dipteran FMR weakly and positively depended on body mass (linear regression, R²adj. = 0.033, P = 0.051); in contrast, WL of the flies strongly and positively depended on body mass (linear regression, R²adj. = 0.219, P<0.0001).

Table 1. Mean values of WL and FMR (±SD) for the different species/morphospecies of dipterans present in the area.

Species	N	Family	Mean WL (g·cm-2)	Mean FMR	Mean mass (mg)	Captured by
Amictus variegatus	24	Bom	0.071 ± 0.000	0.136 ± 0.000	15.750 ± 2.250	Bmer
Anthrax anthrax	2	Bom	0.086 ± 0.000	0.543 ± 0.000	63.000 ± 0.000	nc
Asilidae_1	4	As	0.143 ± 0.033	0.351 ± 0.056	189.250 ± 0.000	nc
Asilidae_2	2	As	0.043 ± 0.000	0.351 ± 0.011	161.000 ± 0.000	nc
Asilidae_3	2	As	0.077 ± 0.000	0.291 ± 0.000	36.000 ± 0.000	nc
Asilidae_4	2	As	0.129 ± 0.000	0.346 ± 0.000	176.000 ± 0.000	nc
Asilidae_5	2	As	0.101 ± 0.000	0.310 ± 0.014	49.000 ± 0.000	nc
Asilidae_6	2	As	0.144 ± 0.000	0.487 ± 0.000	205.000 ± 0.000	nc
Bombyliidae_1	1	Bom	0.026 ± 0.000	0.356 ± 0.000	14.000 ± 0.000	nc
Bombyliidae_2	3	Bom	0.027 ± 0.000	0.380 ± 0.000	10.000 ± 0.000	nc
Bombyliidae_3	3	Bom	0.070 ± 0.000	0.438 ± 0.000	39.000 ± 0.000	nc
Bombyliidae_4	2	Bom	0.083 ± 0.000	0.498 ± 0.000	82.000 ± 0.000	nc
Bombyliidae_5	2	Bom	0.059 ± 0.000	0.411 ± 0.000	37.000 ± 0.000	nc
Bombylius sp.	2	Bom	0.119 ± 0.007	0.496 ± 0.017	58.000 ± 0.000	nc
Calliphora vicina	2	Calli	0.067 ± 0.012	0.471 ± 0.107	29.000 ± 0.000	nc
Calliphoridae_1	2	Calli	0.079 ± 0.000	0.342 ± 0.007	25.000 ± 0.000	nc
Cerdistus erythrurus	3	As	0.073 ± 0.011	0.269 ± 0.008	21.000 ± 0.000	Bzon
Cheilosia sp.	2	Syr	0.070 ± 0.013	0.396 ± 0.157	25.231 ± 0.000	Bzon
Chrysops caecutiens	3	Tab	0.031 ± 0.009	0.447 ± 0.072	32.000 ± 13.000	Bmer
Cylindromyia sp.	5	Tach	0.074 ± 0.012	0.369 ± 0.075	24.000 ± 0.000	nc
Eupeodes corollae	4	Syr	0.045 ± 0.001	0.498 ± 0.192	35.250 ± 11.750	nc
Exhyalanthrax afer	2	Bom	0.052 ± 0.001	0.211 ± 0.192	9.000 ± 0.000	Bmer
Exoprosopa jacchus	2	Bom	0.042 ± 0.000	0.317 ± 0.000	51.000 ± 0.000	nc
Haematopota ocelligera	3	Tab	0.056 ± 0.004	0.417 ± 0.047	28.000 ± 0.000	Bmer; Bzon
Hemipenthes velutinus	8	Bom	0.046 ± 0.010	0.423 ± 0.026	36.457 ± 2.257	Bzon
Merodon nigritarsis	2	Syr	0.120 ± 0.000	0.365 ± 0.000	50.750 ± 6.250	Bmer
Miltogramminae_1	6	Sar	0.094 ± 0.000	0.297 ± 0.000	16.500 ± 1.500	Bmer; Bzon
Miltogramminae_2	16	Sar	0.059 ± 0.026	0.541 ± 0.059	14.667 ± 0.333	nc
Musca larvipara	2	Mus	0.052 ± 0.000	0.475 ± 0.000	16.000 ± 0.000	nc
Musca sp.	1	Mus	0.073 ± 0.000	0.475 ± 0.000	20.000 ± 0.000	Bmer
Odontomyia sp.	59	Strat	0.194 ± 0.009	0.421 ± 0.074	12.989 ± 0.111	nc
Paragus sp._1	5	Syr	0.057 ± 0.013	0.252 ± 0.052	7.600 ± 0.000	nc
Paragus sp._2	5	Syr	0.029 ± 0.000	0.397 ± 0.146	5.600 ± 0.000	Bmer; Bzon
Peleteria sp.	12	Tach	0.135 ± 0.013	0.408 ± 0.075	64.076 ± 1.258	Bmer; Bzon
Pollenia rudis	12	Calli	0.049 ± 0.010	0.469 ± 0.095	21.000 ± 2.000	nc
Sarcophagidae_1	2	Sar	0.092 ± 0.008	0.519 ± 0.001	92.500 ± 0.000	nc
Sarcophagidae_2	10	Sar	0.046 ± 0.000	0.317 ± 0.000	33.500 ± 0.000	nc
Sarcophagidae_3	3	Sar	0.033 ± 0.000	0.570 ± 0.000	7.667 ± 0.000	Bmer; Bzon
Sphaerophoria scripta	418	Syr	0.045 ± 0.007	0.305 ± 0.091	10.899 ± 0.595	Bmer; Bzon
Stomorhina lunata	5	Calli	0.078 ± 0.017	0.414 ± 0.056	21.875 ± 3.125	nc
Syrphidae_1	5	Syr	0.068 ± 0.000	0.190 ± 0.000	4.400 ± 0.000	Bmer
Systoechus gradatus	24	Bom	0.044 ± 0.010	0.462 ± 0.152	13.975± 0.825	Bmer; Bzon
Tabanus rectus	1	Tab	0.096 ± 0.000	0.532 ± 0.000	296.000 ± 0.000	nc
Tachinidae_1	8	Tach	0.048 ± 0.022	0.597 ± 0.004	14.000 ± 0.000	nc
Tachinidae_2	8	Tach	0.044 ± 0.009	0.528 ± 0.125	21.167 ± 4.833	nc
Tephritidae_1	2	Teph	0.036 ± 0.011	0.396 ± 0.112	25.000 ± 0.000	Bmer
Thyridanthrax elegans	13	Bom	0.047 ± 0.007	0.387 ± 0.159	20.188 ± 8.188	nc
Usia aenea	27	Bom	0.092 ± 0.016	0.364 ± 0.097	20.739 ± 0.989	Bmer; Bzon
Villa hottentotta	16	Bom	0.094 ± 0.016	0.436 ± 0.081	71.500 ± 1.625	Bmer; Bzon
Villa paniscus	19	Bom	0.049 ± 0.000	0.475 ± 0.000	16.891 ± 0.291	Bmer; Bzon

It is also indicated if the species are captured by B. merceti (Bmer), B. zonata (Bzon) or not captured by any of the species (nc), as well as the sample size for each species. Key for the families of dipterans: As = Asilidae; Bom = Bombyliidae; Calli = Calliphoridae; Mus = Muscidae; Sar = Sarcophagidae; Strat = Stratiomyidae; Syr = Syrphidae, Tab = Tabanidae; Tach = Tachinidae; Teph = Tephritidae.

B. zonata females had greater mean body mass than those of B. merceti (Student’s t-test, t₄₃ = 2.608, P = 0.012) (Table 2). Wasp wing area did not vary with body mass or between species (ANCOVA, F_2,14 = 2.055, R²adj. = 0.165, P = 0.156; Type III ANOVA: F(mass) = 0.023, P(mass) = 0.882, F(wasp species) = 1.943, P(wasp species) = 0.187). Wasp FMR depended on the wasp species and not on body mass (ANCOVA, F_2,14 = 29.312, R²adj. = 0.780, P<0.0001; Type III ANOVA: F(mass) = 2.104, P(mass) = 0.169, F(wasp species) = 51.018, P(wasp species)<0.0001), having a greater mean value in B. zonata (Table 2). On the other hand, wasp WL positively scaled with body mass, and was not different between the two Bembix species (ANCOVA, F_2,14 = 12.238, R²adj. = 0.584, P = 0.0001; Type III ANOVA: F(mass) = 20.769, P(mass) = 0.000, F(wasp species) = 0.616, P(wasp species) = 0.446) (Table 2). There was no relationship between wasps’ FMR and WL (linear regression, F_1,15 = 0.005, R²adj. = -0.066, P = 0.944). The maximum theoretical load was significantly higher in B. zonata than in B. merceti (Student’s t-test, t₄₃ = 17.409, P<0.0001) (Table 2).

Table 2. Mean values (±SD) of different biometric parameters for the predatory wasps.

	B. merceti	B. zonata
Wing area (cm2)	0.515 ± 0.041	0.591 ± 0.138
FMR	0.306 ± 0.037	0.430 ± 0.032
WL (g·cm-2)	0.184 ± 0.051	0.214 ± 0.039
Body mass (g)	0.097 ± 0.018	0.108 ± 0.014
Maximum theoretical load (g)	0.055 ± 0.012	0.129 ± 0.017
Mean WL (g·cm-2) of the captured prey	0.056 ± 0.041	0.059 ± 0.039
Mean FMR of the captured prey	0.358 ± 0.270	0.365 ± 0.247

The ANCOVA (F_5,81 = 32.135, R²adj. = 0.644, P<0.0001) showed that the capture rate of the different fly species in B. merceti is driven by the factors “environmental availability”, “environmental availability*FMR” and “environmental availability*year” (Table 3, Fig 1A). Thus, females of B. merceti hunted more often species with higher availability, and avoided prey with higher FMR, as long as prey abundance was high in the environment; also, females’ captures were more affected by dipteran availability in 2009 (comparison of the slopes: t = 3.084, P = 0.003). In B. zonata, on the other hand, only “environmental availability*WL” and “environmental availability*year” affected capture rate (F_5,81 = 18.322, R²adj. = 0.502, P<0.0001) (Table 3, Fig 1B), with species with high WL being less abundantly hunted (as long as prey are abundant in the surroundings), and with greater influence of dipteran availability in 2009 (comparison of the slopes: t = 2.193, P = 0.031).

Table 3. Final models selected in a type III ANCOVA, with F and P-values of the factors affecting prey capture in B. merceti and B. zonata.

B. merceti	Sum of Squares	D.F.	F	P-values
environmental availability	26.182	1	27.537	<0.0001
FMR	2.682	1	2.821	0.097
year	0.327	1	0.344	0.559
environmental availability*FMR	10.905	1	11.470	0.001
environmental availability*year	9.040	1	9.508	0.003
B.zonata	Sum of Squares	D.F.	F	P-values
environmental availability	3.174	1	2.945	0.090
WL	1.618	1	1.501	0.224
year	0.515	1	0.478	0.491
environmental availability*WL	8.604	1	7.985	0.006
environmental availability*year	5.183	1	4.810	0.031

Fig 1. Effects of the interaction between prey availability and flight morphology on the predation by wasps.

For Bembix merceti (A), the three lines show the relationship between flight muscle ratio (FMR) and the number of captured prey at three prey availability levels (low, medium and high) (2010 data). For Bembix zonata (B), the three lines show the relationship between wing loading (WL) and the number of captured prey at three prey availability levels (low, medium and high) (2010 data). Both (A) and (B) highlight that the effect of flight morphology on capture rate is stronger when prey are abundant in the environment. In both (A) and (B) the smaller inner box shows the lines for the highest level of prey abundance in both 2009 an 2010, together with their linear trend lines, in order to remark the greater influence of dipteran availability in 2009, the year of highest prey abundance (note the steeper slope). The same slope differences occurred also at other prey abundances (not shown). In (C), a representation of the wasps’ hunting behaviour in a situation of high (above the oblique line) or low (below the oblique line) prey availability is shown. When availability is high, wasps more often catch flies with lower FMR (white circles) (i.e. they are probably easier to hunt) and WL (white circles) (i.e. easier to hunt if reduced cruising speed is important) (large grey arrow) than those with great FMR and WL (black circles) (small grey arrow). When availability is low, resource scarcity limits avoidance of dipterans with better flight ability and wasps have to include more flies with greater FMR (i.e. which are likely more difficult to hunt) and WL (i.e. which are likely more difficult to hunt if improved cruising speed is important), so that both dipterans with low or high FMR and WL are equally hunted (identical medium-sized grey arrows). In (C), the picture in the bottom left corner shows a female B. zonata carrying its dipteran prey into the nest.

Discussion

Among the factors known to account for prey use in Bembix wasps, the availability of potential prey species in the environment and wasp body size undoubtedly play an important role, though there are probably additional variables that have not been studied to date [15]. Here, we tested whether some morphological traits directly related to flight ability of the potential prey and of wasps could also be involved in explaining why some dipteran species are widely hunted while others are not. In the following text, we discuss our results regarding the possible role of dipteran flight morphology on prey use, and the possible role of wasp flight morphology on the inter-specific differences in prey use.

Our analysis showed contrasting patterns of the effect of dipteran morphology on the capture rate by Bembix wasps. In one of the wasp species (B. merceti), prey capture was negatively associated with the FMR of the prey, as predicted by our starting hypothesis; on the contrary, in the other wasp species (B. zonata), prey capture was negatively associated with the WL of the prey, in disagreement with our prediction. In any case, prey flight morphology significantly influenced the prey-predator output. Furthermore, dipteran morphological traits were observed to have a role in prey capture particularly under certain conditions. Wasp flight morphology, on its part, could also help to explain the above-mentioned inter-specific contrasting results.

First, we found that capture rate is explained mainly by the availability, either alone (B. merceti), or through the interaction with WL (B. zonata), in such a way that dipteran species that were more abundant in the environment were captured more often by wasps. The high environmental availability of the dipterans per se (i.e. without taking part in an interaction) is only proportional to prey capture in B. merceti, and not in B. zonata. In the case of B. merceti, the availability of prey also modifies the effect of FMR on the frequency of capture (discussed below). In B. zonata, availability influences prey capture only through its interaction with WL. As the environmental availability is involved, either alone or as part of an interaction, in the lower or higher predation rate of the different dipterans, this factor can be considered essential in explaining the frequency of capture of the different prey species. Thus, a high abundance of the different prey species may be considered an important predation-risk factor for those species, though not necessarily for individuals, since this depends on the extent of the population in the environment, which could dilute individual risk. Previous studies with other prey-predator systems have already documented the important and positive effects of availability on the capture rate in wasps [67–70].

In our case, we found an additional interaction involving both the availability and the year, in both predator species: the effect an increase in prey availability had on the numbers of captures by wasps was stronger in 2009 (with respect to 2010), when the slope of the line representing the environmental availability against the capture frequency was steeper (Fig 1A and 1B). We found that two factors that could explain this result changed between the years. First, assuming that the number of Bembix marked females in each year is an estimate for wasp density, a higher wasp density existed in 2009 than in 2010 (72 versus 47 Bembix females). Second, if the number of environmental dipterans is employed as a proxy for prey availability (211 and 243 collected dipterans in 2009 and 2010, respectively), the average number of available prey per female was 2.93 in 2009 and 5.17 in 2010 (scarcer prey in 2009). This fact could have acted in unknown directions, for example, with a surplus of predators taking the whole range of available prey, thereby reducing the chance of the wasps choosing their preferred dipterans. Consequently, a given increase in prey availability in 2009 would have a much greater effect on the number of prey captures than any other year [71, 72].

Second, high values of WL were associated with a lower capture rate in one species (B. zonata), as long as they appeared together with high prey availability, with no significant effect of this morphological trait for the other Bembix species. As already observed in other insects, including Diptera and Hymenoptera [73–75], WL increased as a function of body mass in the studied dipterans, so that flies with higher WL also had greater mass. These bigger flies with higher WL may have greater flight speed [44, 46], so that higher values would effectively help to reduce the predation risk by B. zonata. The effect of interaction between prey availability and WL in B. zonata could derive from a situation in which wasp females cannot avoid catching dipterans with high WL under circumstances of low availability, and have to shift to flies which are more difficult to pursue (high WL) to maintain the foraging rate. Why the same trend has not been detected in B. merceti, despite its theoretically worse flight capacity (lower FMR), is a question that remains to be investigated. Speculation that the microhabitats where both predators hunt their prey are different, could be formulated to explain it: for example, Kalcounis and Brigham [75] observed that bats with greater WL foraged in areas with a low number of obstacles to detect and dodge (where high velocity is more important than a good manoeuvrability). In the same way, if B. merceti hunted in cluttered microhabitats, then high prey WL (and hence speed) wouldn’t be important in predator avoidance, and wouldn’t affect prey capture, as seems to occur in our study. However, low WL improves other flight parameters, such as manoeuvrability and take-off acceleration [21, 27, 41, 43–45], so that high WL would not help reduce predation risk. Further experiments in which flight performance, flight morphology and possibly other parameters, such as wing beat frequency, are measured at the same time in flies are needed, and in any case the effect of WL could be heterogeneous in predatory wasps, given that a certain relationship between this parameter and the capture rate has been found only in B. zonata.

On their part, because wasp WL varied only with body mass in the studied wasps, and did not differ between species, this trait is probably weakly involved in explaining why prey capture by each wasp species is determined by a different morphological trait of the dipterans.

Third, an effect of prey FMR on the capture rate of B. merceti was detected, with predators capturing less often prey with higher FMR, as long as prey are at the same time strongly available in the environment. This is in accordance with our hypothesis, as prey with higher FMR would be able to dodge obstacles more easily during flight in cluttered habitats [36, 39–42], and fly more quickly [29]. In agreement with previous studies with insects [29, 65], FMR and body mass only very weakly correlated in the studied dipterans. On the other hand, the largest wasp species, B. zonata, also had the greatest FMR. The comparatively better flier B. zonata may not be limited by the FMR of its prey and thus this factor was not significant in the model for this species, again in line with our hypothesis. Similarly to what has been suggested for dipteran WL in B. zonata, if FMR positively affects flight ability, the effect of the interaction between availability and FMR in B. merceti could match a scenario in which, under circumstances of low availability, female wasps cannot avoid dipterans with great FMR, which are more difficult to hunt.

Finally, it should be mentioned that the aim of this study has been the evaluation of the morphological prey traits possibly involved in prey capture. Nevertheless, factors not studied here, belonging to the prey (wing beat frequency, flight speed, age, health, odour, microhabitat inhabited, temporal overlap with the predators) or to the predators (e.g. foraging behaviour), could also play a role in prey capture, as described for other taxa, both invertebrates and vertebrates [3–16, 76, 77]. New studies addressing these points would help to offer a more complete view of the factors affecting prey capture in sand wasps.

Supporting Information

S1 Dataset. Rough matrices containing the data used to perform the analyses.

(XLS)

Data Availability

All relevant data are in the paper and its Supporting Information file.

Funding Statement

This work was supported by the Projects SA094A09 and SA010A06 (Junta de Castilla y León) and CGL2010-16730 (MICINN). YB was funded by a Universidad de Salamanca-Santander Bank grant. CP was funded by a post-doctoral contract funded by Universidad de Castilla La Mancha and the FSE, and by a FCT (Fundação para a Ciência e a Tecnologia) post-doctoral grant (SFRH/BPD/100460/2014). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.