Literature DB >> 31751408

Disentangling the coexistence strategies of mud-daubing wasp species through trophic analysis in oases of Baja California peninsula.

Armando Falcón-Brindis1, Ricardo Rodríguez-Estrella1, María Luisa Jiménez1.   

Abstract

Species within the same trophic level show different strategies to avoid competition. Among these mechanisms, differences in body size, spatio-temporal segregation, and diet preference often leads to a niche partitioning. Nonetheless, little attention on coexisting predatory insects and their network interactions has been paid. In this study, we analyzed the strategies to avoid competition among three sympatric mud-daubing wasps of the genus Trypoxylon (Hymenoptera: Crabronidae) in oases and their surrounding xeric area from the Baja California peninsula, Mexico. We compared the prey richness, composition and proportion of spider guilds that were captured by the wasps. We tested whether the differences in wasp body size explained the niche breadth, niche overlap and the size of spider prey. We assessed the spider-wasp interactions through a network analysis. With the use of trap-nests, we collected 52 spider species captured by the wasps. Both the guild and species composition of preyed spiders was different between the three wasp species. Differential proportions in the capture of spider guilds and a little diet overlap were found among the wasp species. We found that the wasp body size was positively correlated with prey size, but it was not a proxy of niche breadth. Moreover, the largest wasp species was able to nest in both mesic and xeric habitats, while the two smaller species were restricted to the oases. This study reveals that the diversity of spiders in oases of Baja California peninsula is crucial to maintain highly specialized oasis-dependent wasp species. The niche partitioning between mud-daubing wasps can be shaped by their inherent body size limitations and hunting strategies through foraging specialization for specific spider guilds. Food selection and slight differences in body size reduce competition and allow the coexistence of sympatric wasps. Our study is the first approach exploring the interaction networks between mud-daubing wasps and their spider preys, highlighting new insights into the morphological and ecological factors that shape antagonistic interactions, and allow the coexistence of predators in deserts.

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Year:  2019        PMID: 31751408      PMCID: PMC6872140          DOI: 10.1371/journal.pone.0225266

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Among sympatric species, the competition and availability of resources determine how they coexist in the community [1, 2]. When species compete for the same food, space or any environmental resource, several mechanisms are displayed to avoid niche overlap [3], as well as constrains or expansions of niche breadth and dispersion abilities [4-6]. The body size is among morphological factors influencing the niche breadth [7-9], thus, in a cascade model of trophic levels, larger predators would eat larger prey [10, 11]. Additionally, since body size can represent physiological limitations to the foraging range, it can have a positive correlation with the home range [9] and food consumption [12]. However, the niche segregation can be more difficult to explain among sympatric species with similarities in body size (as in cryptic species), since they are expected to be ecologically analogues [13]. On the other hand, behavioral differences (e.g. foraging specialization, territoriality) can be strong mechanisms to avoid niche overlap [14]. Although predators often have diet shifts according to the availability of prey, specific patterns of searching strategies still prevail [15]. Among terrestrial predatory arthropods, food selection (i.e. prey size, species availability), hunting strategies, nesting behavior and breeding season have been pointed out as trade-offs for their coexistence [10]. It has been documented that nesting preferences, individual diet specialization and experience can be important factors to modify the hunting strategies among predatory wasps and are probably helping to reduce competition [16-19]. Female digger wasps can segregate their diets by patrolling different specific areas [20], or by hunting the most abundant prey during the breeding season [21]. In this sense, niche breadth can be strongly influenced by individual specialization and varies among species, populations, or even by the spatio-temporal context [22, 23]. The behavioral and morphological factors shaping the niche breadth of highly sympatric species is still poorly understood, especially within the group of spider-hunting wasps. Those in the genus Trypoxylon Latreille (Hymenoptera: Crabronidae) are broadly known to feed their offspring with a variety of spider species [24-26] (Fig 1). Regardless the abundance of spiders in the community, most Trypoxylon wasps seem to be specialized for particular spider families [27], but the strategies to avoid competition remain unknown among sympatric wasp species. In this sense, ecological data of spider guilds may offer meaningful explanations to understand the foraging strategies of wasps and competition [28, 29].
Fig 1

Trypoxylon wasp.

a) Female wasp introducing a captured orb-weaving spider into her nest (i.e. an abandoned beetle bored stem). b) Brood cell provisioned with paralyzed spiders.

Trypoxylon wasp.

a) Female wasp introducing a captured orb-weaving spider into her nest (i.e. an abandoned beetle bored stem). b) Brood cell provisioned with paralyzed spiders. In insular habitats, where niche overlap tends to be higher than in mainland [30], the rapid adaptation to environmental conditions plays a key role in the niche segregation of species [31]. Patchy habitats can offer insular-like conditions that harbor unique biological assemblages that coexist with limited resources [32]. Within this framework, oases are insular-like mesic habitats immersed in xeric ecosystems, with contrasting structure and function for several species. Such contrast is very important for conservation programs, especially since oases are small, fragile, and isolated environments [33, 34]. In these habitats, mechanisms to reduce competition between predatory arthropods are poorly understood, and the interactions with more than two-hundred spider species occurring in the oases from the Baja California peninsula are practically unknown [35]. In this study, we focused on disentangling those strategies that reduce the competition between Trypoxylon wasp species in oases from the Baja California peninsula to elucidate the strategies that allow their coexistence. Three Trypoxylon species were studied, T. (Trypoxylon) bridwelli Sandhouse, T. (Trypargilum) dubium Coville and T. (Trypargilum) tridentatum tridentatum Packard. Considering the isolation and limited food resources in oases from the Baja California peninsula [36], we hypothesized that the three Trypoxylon wasp species avoid food competition through a differential use of spider prey. Since these wasp species share a number of morphologically similarities, we also hypothesized that the wasp body size plays a role in the size of spider prey, with the prediction that wasp body size is positively correlated with prey size.

Materials and methods

Ethics statement

Field work was conducted with permission of Secretaría del Medio Ambiente y Recursos Naturales, in agreement with the Subsecretaría de Gestión para la Protección Ambiental and the Dirección General de Vida Silvestre who issued the Scientific Collector Permit: SGPA/DGVS/09769/15. Our study does not involve any endangered or protected species.

Study area

Sampling was carried out from April to September during 2016 and 2017 on six localities along the Baja California peninsula (BCP), in northwest Mexico. The north portion of the BCP belongs to the Nearctic region, which is represented by xeric scrublands typical of the Sonoran desert. In the southernmost area, there are taxa with Neotropical affinity and vegetation such as tropical deciduous dry forest [37]. The sampled areas included oases located between 23°N and 30°N, with sizes ranging from 0.06 to 2.6 km2 in size (Table 1).
Table 1

Sampled localities along the Baja California peninsula.

SA = Santiago, EP = El Pilar, LP = La Purísima, ES = El Sauzal, SB = San Borja, SF = San Fernando. Temperature (°C), precipitation (mm), and relative humidity (Rh) were obtained from SMN [38]. Size was extracted from maps from INEGI [39].

OasisLatLongSize (km2)Elev (m)°CmmRh (%)
SA23°28’109°43’1.4713223.7330.267.6
EP24°28’111°00’0.2512022.2154.865.6
LP26°11’112°04’2.699522.912750.8
ES27°10’112°520.2115021.9121.163.3
SB28°44’113°45’0.0644519.9114.142.1
SF30°00’115°14’1.2945018.291.137.8

Sampled localities along the Baja California peninsula.

SA = Santiago, EP = El Pilar, LP = La Purísima, ES = El Sauzal, SB = San Borja, SF = San Fernando. Temperature (°C), precipitation (mm), and relative humidity (Rh) were obtained from SMN [38]. Size was extracted from maps from INEGI [39].

Sampling protocol

We focused our analyses on three wasp species that occupied the nests (i.e. 133 in total): Trypoxylon bridwelli (31 nests), T. dubium (47) and T. tridentatum (55). We used artificial cavities to collect the wasp´s nests and identify their composition (i.e. spider prey). We set the traps in both the oases and the surrounding desert to evaluate the prey composition between habitats. The traps were set in gradual distances from the edge of the waterbody (inside the oasis) towards the desert area. That is, from around 5.0 m to 3,500 m away from the waterbody. In total, we offered 2,430 cavities equally distributed in 162 trap nests set in the six localities. Trap nests consisted in three wooden blocks (10x17x2.5 cm each) set 1.5–2.0 m height, piled and gripped together. Each nest contained five rows of tunnels with different diameter (3.1, 6.3, 1.9, 9.5, 12.7 mm) x 150 mm long [25]. From April to September 2016 we sampled the southernmost oases: Santiago (SA), El Pilar (EP), and La Purísima (LP). From April to September 2017, the northernmost oases were sampled: El Sauzal (ES), San Borja (SB), and San Fernando (SF). In both years, we monthly replaced the occupied traps. The morphological differences of adults, immature larvae and external appearance of pupae allowed the identification of wasp species and thus the association with their spider prey [26]. Inside the nests, the brood cells were carefully inspected, sorting and counting the spiders for taxonomical identification. Taxonomic identification was done in the laboratory of Arachnology and Entomology (CARCIB) of the Centro de Investigaciones Biológicas del Nororeste (CIBNOR). Since the great majority of spiders were juveniles, identification to species level was not always possible. However, the vast material of spiders from Baja California Sur deposited in the CARCIB, allowed the correct distinction of most morphospecies. Because in some cases we found the remaining parts of spider prey within the cells (i.e. already devoured by the wasp larva), the identification was possible to family level.

Diversity and composition of prey

Spider prey was categorized into the trophic guilds suggested by Cardoso et al. [28] and Uetz et al. [40]. These guilds were proposed as surrogates of spider families based on their foraging strategy, prey range, and vertical stratification. Based on these categories, we classified the spiders captured by the Trypoxylon species within the following guilds: ambush hunter, orb web, spatial web, stalker, ground hunter, and specialist. For each wasp species, we calculated alpha diversity of prey using Hill numbers and estimated the number of spider species through Chao-1 [41, 42]. We compared the diversity of the overall spider prey captured by the wasps. The rarefaction curves for each wasp species were estimated. These analyses were computed on R v3.5.1 using the iNEXT package [43, 44]. To test the differences in composition of the spider communities captured by the three wasp species, we used a Permutational Multivariate Analysis of Variance (PERMANOVA) [45]. A multivariate analysis of homogeneity of group dispersions (PERMDISP) was used to test heterogeneity of the prey community and as a measure of beta diversity [46]. We used a Non-metric Multidimensional Scaling (NMDS) measured by Bray-Curtis distances to visualize the dissimilarities in the composition of spider species captured by the wasp species [47]. These analyses were done with vegan package in R [44, 48]. To evaluate if there is an effect of habitat and time in the amount of food the wasps can provide to the offspring, we used generalized linear mixed models (GLMM) to assess if the length of brood cells depends on the habitat (oasis or desert) or if it varied through the time (i.e. monthly variation). Models were fitted with lme4 package [49] in R [44].

Niche partitioning

In order to determine the relative level of dietary specialization and niche segregation of the species, the niche breadth and niche overlap were calculated for the three Trypoxylon wasps [50]. Hurlbert's formula [51] was applied to obtain the standardized niche breadth (Bj) [52]. We used the Pianka´s index to measure niche overlap. Niche breadth index ranges from 0 to 1, where values close to 1 indicate more specialization. Pianka´s index also ranges from 0 to 1, where values close to 1 indicate a higher diet overlap. We used the spaa package to compute these indexes [53]. We built a bipartite network (predator-prey) to calculate the complementary specialization index (H2´) and Shannon diversity of interactions between both trophic groups [54]. H2´ index ranges between 0 (no specialization) and 1 (complete specialization). Since this index can be sensitive to matrices constructed with few species, we compared our data against 1000 random null models that avoid biases regardless the matrix size. With the null model approach, we assessed that the spider-wasp interactions are not being reflections of the sampling properties, thus producing random links between predator and prey [55, 56]. The network analysis was done with the package bipartite in R [44, 57, 58]. To test whether the size of predators influenced the niche breadth and prey size selection, we measured morphological attributes of size on both wasps and spiders. We obtained the values of body length, facial and intertegular distance from the three Trypoxylon species. The spider size was represented with the values of cephalothorax´s length and width [59]. Only female wasps were considered since they are the responsible of hunting and transportation of spiders to the nests [24]. The correlation between the wasp size and cephalothorax´s length-width ratio of spiders was tested. We used a Linear Discriminant Analysis (LDA) to evaluate whether the three wasp species were well separated according to the morphological measurements [60]. LDA was calculated with the psych package in R [44, 61]. Measurements were done under a stereo microscope Nikon SMZ25, with 11x magnification, 1.1x zoom and a Nikon SRH 1x objective.

Results

Altogether, 670 spiders were captured by the three Trypoxylon species that occupied 133 nests. The spider prey comprised 11 families, 28 genera and 52 species divided into six guilds (Table 2). Globally, a total of 45 spider species were preyed upon in oases and seven spider species in the desert. The occurrence of spider species varied between the wasp species, but the most common spiders included Sassacus, Eustala and Metepeira (Fig 2). Phidippus phoenix Edwards (Salticidae) was the unique spider prey captured by the three wasp species. Individuals of the family Salticidae were the most recurrent in the nests (38.3%), followed by Araneidae (33.2%) and Theridiidae (17.3%). Sassacus vitis Cockerell (Salticidae) (27.2%), M. arizonica (Araneidae) (22.8%), and Theridion submissum Gertsch & Davis (Theridiidae) (16.6%) were the most frequent species in the nests. Only Trypoxylon bridwelli captured two different species of ant-mimic jumping spiders (Peckhamia spp.), while only T. dubium and T. tridentatum included nocturnal spiders in the diet (Table 2).
Table 2

List of spider species and their guild category captured by each mud-daubing wasp.

AH = ambush hunter, OW = orb web, SW = spatial web, ST = stalker, GH = ground hunter, SP = specialist. Spiders within the nest in oasis = ●, desert = ○, and both habitats = Δ. Guild categories from Cardoso et al. [33] and Uetz et al. [46].

Wasp species
FamilySpider speciesGuildT. bridwelliT. dubiumT. tridentatum
AnyphaenidaeHibana incursaST
Hibana sp.ST
AraneidaeCyclosa turbinataOW
Eustala californiensisOW
Eustala sp.OW
Gen. sp1OW
Gen. sp2OW
Metepeira arizonicaOWΔ
Metepeira crassipesOW
Meteperia sp.OW
Neoscona sp1OW
Neoscona sp2OW
Larinia sp1OW
DictynidaeEmblyna sp.SW
Dictyna sp1SW
Dictyna sp2SW
Mallos pallidusSW
CheiracanthiidaeCheiracanthium sp.ST
GnaphosidaeGen. spGH
MimetidaeMimetus sp.SP
OxyopidaeHamataliwa sp.ST
Oxyopes flavusST
Oxyopes salticusST
PhilodromidaeTibellus sp.AH
Gen. sp.AH
SalticidaeColonus spSTΔ
Gen. sp1ST
Gen. sp2ST
Gen. sp3ST
Habronattus ammophilusST
Habronattus californicusST
Habronattus conjunctusST
Habronattus pyrrithrixST
Habronattus sp.ST
Marpissa robustaST
Paramarpissa sp.ST
Peckhamia picataSP
Peckhamia sp.SP
Phidippus phoenixST
Salticus sp.ST
Sarinda cutleriST
Sassacus vitisST
Sassacus sp.ST
TheridiidaeEuryopis sp.SW
Gen. spSW
Latrodectus hesperusSW
Theridion sp.SW
Theridion submissumSW
ThomisidaeMecaphesa celerAH
Mecaphesa sp.AH
Xysticus sp.AH
Xysticus phoenixAH

Nocturnal spider species are shaded grey.

Fig 2

Studied Trypoxylon species and their most common preyed spiders.

a) T. bridwelli and b) Sassacus vitis, c) T. dubium and d) Eustala sp., e) T. tridentatum and f) Metepeira arizonica. Photographs by A. Falcón-Brindis and Luis E. Robledo Ospina.

Studied Trypoxylon species and their most common preyed spiders.

a) T. bridwelli and b) Sassacus vitis, c) T. dubium and d) Eustala sp., e) T. tridentatum and f) Metepeira arizonica. Photographs by A. Falcón-Brindis and Luis E. Robledo Ospina.

List of spider species and their guild category captured by each mud-daubing wasp.

AH = ambush hunter, OW = orb web, SW = spatial web, ST = stalker, GH = ground hunter, SP = specialist. Spiders within the nest in oasis = ●, desert = ○, and both habitats = Δ. Guild categories from Cardoso et al. [33] and Uetz et al. [46]. Nocturnal spider species are shaded grey. The abundance of spiders in the diet varied accordingly to the stage of development during the life cycle (H = 33.8, d.f. = 2, p <0.001). The vast majority were in juvenile stages (69%) (Fig 3A). The peak of prey abundance occurred in July (i.e. 43.6%) (Fig 3B). However, neither the habitat (GLMM, χ21 = 2.56, p = 0.11) nor the month of the year were predictors of the length of brood cells (χ25 = 7.46, p = 0.18) and nest length (χ25 = 2.64, p = 0.75) (Fig 3C and 3D). The temporal pattern of abundance across the time was the same either for males (H = 2.2, d.f. = 3, p = 0.531), females (H = 1.6, d.f. = 3, p = 0.657) and juvenile spiders (H = 2.22, d.f. = 3, p = 0.527).
Fig 3

Spiders captured by the Trypoxylon wasps throughout the localities.

a) Life cycle stage of captured spiders; abundance was counted as adults (male, female) and juvenile individuals; b) monthly variation of total spider abundance c) nest length and d) cell length. Whiskers represent the standard error. Blue bars = males, orange = females, green = juveniles.

Spiders captured by the Trypoxylon wasps throughout the localities.

a) Life cycle stage of captured spiders; abundance was counted as adults (male, female) and juvenile individuals; b) monthly variation of total spider abundance c) nest length and d) cell length. Whiskers represent the standard error. Blue bars = males, orange = females, green = juveniles. Among the six spider guilds, the group of stalkers was the most abundant (43.8%) and had the highest richness (42.3%) within the nests (Fig 4A). The number of spider species per guild varied among wasps (χ210 = 20.6, p = 0.024). None of the wasp species included all spider guilds in their diet. Trypoxylon bridwelli consumed mostly stalkers (68.4%), T. tridentatum mainly orb weavers (40.9%), and T. dubium was less selective, combining prey from stalkers (38%) and space web guilds (28.5%) (Fig 4B).
Fig 4

Captured spider guilds.

a) Total species richness and abundance per spider guild. Bars represent the richness (q = 0) and the line the abundance (right axis). b) Abundance of spider guilds in the diet of each wasp species. AH = ambush hunter, OW = orb web, SW = spatial web, ST = stalker, GH = ground hunter, SP = specialist.

Captured spider guilds.

a) Total species richness and abundance per spider guild. Bars represent the richness (q = 0) and the line the abundance (right axis). b) Abundance of spider guilds in the diet of each wasp species. AH = ambush hunter, OW = orb web, SW = spatial web, ST = stalker, GH = ground hunter, SP = specialist. The bipartite interactions between prey and predators showed a high degree of both overall specialization (H2´ = 0.89) and diversity of interactions (H´ = 2.6). Our network significantly differed from expected null models (Mean ± S.D.: 0.09 ± 0.01, p<0.001) (Fig 5).
Fig 5

Bipartite interaction between wasps and spider guilds.

Each guild contains the total number of spider species (right bars) preyed upon by each wasp species (left bars). The thickness of bars indicate the abundance of predators and prey, respectively. The line thickness represents the abundance of individuals captured by each wasp species.

Bipartite interaction between wasps and spider guilds.

Each guild contains the total number of spider species (right bars) preyed upon by each wasp species (left bars). The thickness of bars indicate the abundance of predators and prey, respectively. The line thickness represents the abundance of individuals captured by each wasp species. The community structure of spider prey was significantly different between the mud-daubing wasps (PERMANOVA F = 2.63, d.f. = 2, p = 0.001), and the variability in community structure (i.e. spider composition) was different between all of the wasp species (PERMDISP: F = 4.19, d.f. = 2, p = 0.02) (Fig 6).
Fig 6

Non-metric multidimensional scaling of the spider prey composition.

See the high dissimilarity between wasp species.

Non-metric multidimensional scaling of the spider prey composition.

See the high dissimilarity between wasp species. The spider prey diversity (H´) was significantly different between the three wasp species and the accumulation curves of prey diversity was asymptotic in T. dubium (Fig 7). Trypoxylon tridentatum showed the richest composition of prey and nocturnal species, whilst T. dubium showed the highest values of diversity, evenness and niche breadth. Moreover, T. bridwelli (the smallest species) had the highest dominant prey composition and the poorest species richness (Table 3). Diet overlap and similarity of prey species were very low among the three species. The highest values of both indices were found between the two largest wasps, T. dubium and T. tridentatum (Table 4).
Fig 7

Species accumulation curve of captured spiders among the wasp species.

The abscissa values represent the number of spiders that occurred within the wasps´ nests. The curves were extrapolated with 95% confidence intervals. Values of Hill numbers of order q = 0 (species richness), q = 1 (effective number of common species) and q = 2 (effective number of dominant species) are shown for each wasp species.

Table 3

Summary of diversity and functional parameters between the three wasp species and their prey.

The habitat indicates where the nests of each wasp species were found. The wasp body length is the measurement from the frons to the last segment of metasoma (only females). All estimators and diversity indices were calculated for the total number of spider species each wasp captured.

Wasp species
T. bridwelliT. dubiumT. tridentatum
Habitat useoasisoasisoasis-desert
Wasp body length9.7 ± 0.8 mm (n = 12)11.7 ± 1.1 mm (n = 14)13.2 ± 1.4 mm (n = 15)
Prey richness (S)192122
Prey evenness (J)0.420.730.48
Chao-125.123.132.1
Prey diversity (H´)1.262.241.48
Hill number (q = 1)3.539.44.43
Prey dominance (D)0.540.170.33
Nocturnal spiders036
Niche breadth (Bj)0.0450.240.095
Table 4

Pairwise comparison of niche overlap using Pianka´s measure.

Values of quantitative Sorensen index are in bold.

T. bridwelliT. dubiumT. tridentatum
T. bridwelli-0.0110.002
T. dubium0.062-0.041
T. tridentatum0.0380.064-

Species accumulation curve of captured spiders among the wasp species.

The abscissa values represent the number of spiders that occurred within the wasps´ nests. The curves were extrapolated with 95% confidence intervals. Values of Hill numbers of order q = 0 (species richness), q = 1 (effective number of common species) and q = 2 (effective number of dominant species) are shown for each wasp species.

Summary of diversity and functional parameters between the three wasp species and their prey.

The habitat indicates where the nests of each wasp species were found. The wasp body length is the measurement from the frons to the last segment of metasoma (only females). All estimators and diversity indices were calculated for the total number of spider species each wasp captured.

Pairwise comparison of niche overlap using Pianka´s measure.

Values of quantitative Sorensen index are in bold. There was a significant difference in the wasp body size that allowed the separation of the three Trypoxylon species (F = 773.6, p<0.001) (Fig 8A). Likewise, a significant difference in the selection of prey size was found between wasp species (F = 123, p<0.001) (Fig 8B). The wasp body size was positively and highly correlated with the spider size (r = 0.86, p <0.001), having T. dubium the widest range of prey size on its diet (2.0 to 4.75 mm length of cephalothorax) (Fig 8C).
Fig 8

Morphological differences associated to prey selection.

a) Differences in body size between the three wasp species, b) differences in spider prey size and c) range of prey size chosen by each Trypoxylon species. Dashed lines indicate the median.

Morphological differences associated to prey selection.

a) Differences in body size between the three wasp species, b) differences in spider prey size and c) range of prey size chosen by each Trypoxylon species. Dashed lines indicate the median.

Discussion

According to our proposed hypotheses, each wasp species has a differential composition of spider prey. Therefore, there is a low diet overlap between wasps. Moreover, we confirmed that slight changes in the wasp body size (± 2 mm) play a role in the size of spider prey they hunt. As it was predicted, larger wasp species captured larger prey. Usually, isolated habitats tend to harbor less species that display more specialized interaction networks [30]. As we found in this study, the wasp-spider interactions showed a highly specialized network, where the wasps have a strong prey preference. The use of resources in islands can be the result of selective pressures, since organisms undergo similar environmental pressures and dispersal limitations [30, 31]. Such pressures can also be found in isolated patchy environments (e.g. oases, caves, or sky islands), where coexisting species have developed several mechanisms to avoid competition [3, 32]. Although niche specialization can be high in insular habitats due to the restricted amount of resources [62], species can coexist through the niche segregation into multidimensional axes such as space, time, strata, or diet [37]. The three wasp species coexisting in the oases of Baja California Peninsula are displaying differential food specialization, which is probable the result of isolation processes that have led to evolutionary selective pressures. Trypoxylon (Trypargilum) species within the Nitidum Species Group seem to be specialized for orb-weavers (Araneidae) and space web (Theriididae) species within the genera Eustala, Metepeira, Eriophora (Araneidae), and Theridion (Theriidiae) [26]. Similarly, we found that most of the diet of T. tridentatum and T. dubium (both within the Nitidum group) included araneid and theridid spider species. However, it is likely that both species richness and abundance of local prey at oases could have influenced the wasp´s prey choice. For example, the prey composition of T. tridentatum seems to be variable across localities: Theridion submissum (25% of total prey) in the southern Baja California peninsula [63, 64] and Eustala rosae (21%) in Arizona [25]. In our work, we found that Metepeira arizonica (46%) and T. submissum (33%) where the main target. Our results reinforce the idea that local composition of spiders may affect the wasp´s prey selection. Therefore, it is likely that T. dubium and T. bridwelli show a similar response, especially among oases from the BCP, where the spider composition is highly variable [36, 65].

Selection of spider prey

It has been proposed that three-dimensional (3-D) webs are more efficient than two-dimensional (2-D) web architectures to avoid predation from mud-daubing wasps [27]. In some cases, 2-D weavers such as Metepeira species can build 3-D barrier webs [66]. However, whilst 2-D species rest at the center of webs, 3D-weavers remain protected inside the silk network. This defensive mechanism may explain why Trypoxylon are more prone to catch orb-weaving species. Although, spiders use other strategies to avoid predators (e.g. cryptic of coloration, silk retreats near webs, dropping from webs), web architecture is an important strategy of weaver spiders [67]. Even though the three wasp species preyed on web-building species, the specialization of T. bridwelli upon jumping spiders is noteworthy (>90% of prey species). It has been suggested that both visual and chemical cues are likely the main mechanisms to locate either web-building or non-web-building species [68-72]. In our study, the inclusion of ant-mimic spiders in the diet of T. bridwelli, convey to the idea that probably chemical signals are being followed to locate its prey. Moreover, since spiders occupy different microhabitats and strata [73], it is likely that wasps are displaying specific patrolling behavior to locate their prey. In this sense, stratified sampling of spiders may help to understand the patterns of wasps´ foraging. More research is needed to determine the intricate combinations of chemical, aggressive mimicry, shape, and color perception involved during the spider recognition [74]. The nutritional composition of prey also plays a role in the food preferences of predators [75]. Among wasps, nutrition of larvae has a strong effect on reproductive fitness, foraging, and brain gene expression of adults [76, 77]. It makes conceivable that protein, lipid and carbohydrate supply is likewise critical in the fitness of adult Trypoxylon species. Especially because their offspring need to storage energy and protein before the diapause period [24]. Female Trypoxylon wasps usually prevent nutritional unbalance of larvae by providing more small body size juvenile spiders until the biomass reaches the required energy [78]. This is perhaps the explanation of the large number of juvenile spiders within the cells. However, the high amount of juvenile prey may be also an artifact of population dynamics of spiders or environmental effects on local the abundance [79].

Effect of body size on prey preference

Since larger Trypoxylon wasps hunted larger spider prey, the effect of body size fits well with the assumption of cascade model (a positive predator-prey correlation) [10, 11]. However, this model is not always true for arthropods in particular assemblages [80], and the small amount of experiments is still a limitation to further assumptions. In our results, the body size was positively correlated with niche overlap but was not with the niche breadth. In this case, the overlap between wasps increased with the body size but the mid-sized species (T. dubium) showed the widest niche breadth and range of prey size. Similarly, Polidori et al. [81] showed that the body size between crabronid wasps was positively correlated with the prey size, but with the niche breadth. These authors suggest that most solitary wasps experience a strong individual specialization, which broadly influences the prey size selection. In addition, according to the flight muscle ratio, thus the load-lifting capability, only a few wasp species are optimal foragers, which is attributed to several biotic factors [82]. On the other hand, the seasonal variation can be a factor shaping the range of prey size and niche breadth of wasps. In northern Brazil, Araújo & Gonzaga reported variation in the prey selection of Trypoxylon (Trypargilum) albonigrum, finding a broader range of prey size and niche breadth during the wet season [83]. However, the relationship between the wasp, prey size and niche breadth is still under debate, especially since the prey preference of several wasp species remain unknown. Although the identification of spider prey could be challenging considering the large amount of juveniles captured by the wasps, the appropriate identification of morphospecies did not alter the analyses. In this sense, DNA approximations would be an option to avoid misleads in the prey identification.

Habitat effect on niche partitioning

An alternative explanation for niche partitioning could be the effect of habitat use among wasp species [25]. In other Trypoxylon species, habitat is an important factor explaining the composition and abundance of spider prey [84, 85]. In our study, the highest abundance and richness of spiders were found in oases. The largest wasp species (T. tridentatum) used both oases and desert habitats and in general hunted larger spider prey. Among insects, physiological limitations have implications on their distribution and habitat use [86]. In a broad sense, insects with larger body size are able to tolerate more environmental variability [87]. Moreover, flying insects with larger body mass tolerate higher temperatures in extreme habitats (e.g. deserts) due to higher surface area-volume ratios [88]. In dry environments, water loss rates are lower in large bee species thus being less vulnerable to desiccation [89]. Although, temperature could explain the microhabitat selection of some bees and wasps [90, 91], the thermoregulatory physiology of wasps is still poorly understood [92]. Nonetheless, it seems that the body size of T. dubium and T. bridwelli may be a physiological boundary in both thermal tolerance and prey-lifting capacity. Beyond microclimatic preferences, the coexistence of wasps could be mediated by temporal segregation. For example, in Northeast Brazil, Santos & Presley [93] observed that social vespid wasps had slight changes in their peak activity across the day, suggesting that environmental factors such as temperature and humidity are playing a role in the foraging activity, thus, reducing the interspecific competition. In other cases, the coexistence of social wasps is allowed by broad differences in their diet (i.e. specialist vs opportunistic species) [94].

Conclusions

With these results, we disentangled the strategies that three mud-daubing wasp species have to coexist in isolated and small mesic environments into a desert ecosystem. Differential use of resources, either food or habitat (oasis or desert) allows the coexistence of ecologically similar wasp species. In this regard, each wasp species is showing a high guild preference, presenting a specialized predator-prey network to hunt certain spider species. Moreover, the wasp body size is positively correlated with prey size, allowing the ecological differentiation for the three Trypoxylon species. On the other hand, the oases seem to work as islands for the studied wasp species, either as the product of physiological boundaries or food preference. Therefore, the conservation of isolated habitats become crucial for many species that depend on specific and limited resources. Moreover, habitat characteristics can be crucial for cavity-nesting species [95], but the direct effects on these guilds are poorly known. Since anthropogenic pressure is the main cause of disturbance in oases of Baja California [29], highly specialized sympatric insects could be threatened if habitat loss and fragmentation modify the structure of these insular-like environments.
  26 in total

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Journal:  Curr Biol       Date:  2007-02-01       Impact factor: 10.834

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Authors:  Timothy M Judd; Roxane M Magnus; Matthew P Fasnacht
Journal:  J Insect Physiol       Date:  2010-01       Impact factor: 2.354

4.  Drivers of individual niche variation in coexisting species.

Authors:  Raul Costa-Pereira; Volker H W Rudolf; Franco L Souza; Márcio S Araújo
Journal:  J Anim Ecol       Date:  2018-07-18       Impact factor: 5.091

5.  Dietary niche variation and its relationship to lizard population density.

Authors:  Maria Novosolov; Gordon H Rodda; Alison M Gainsbury; Shai Meiri
Journal:  J Anim Ecol       Date:  2017-11-02       Impact factor: 5.091

6.  Estimating terrestrial biodiversity through extrapolation.

Authors:  R K Colwell; J A Coddington
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1994-07-29       Impact factor: 6.237

7.  Surface area-volume ratios in insects.

Authors:  Sara Kühsel; Adrian Brückner; Sebastian Schmelzle; Michael Heethoff; Nico Blüthgen
Journal:  Insect Sci       Date:  2016-08-15       Impact factor: 3.262

8.  Assessment of prey overlap between a native (Polistes humilis) and an introduced (Vespula germanica) social wasp using morphology and phylogenetic analyses of 16S rDNA.

Authors:  Marta L Kasper; Andrew F Reeson; Steven J B Cooper; Kym D Perry; Andrew D Austin
Journal:  Mol Ecol       Date:  2004-07       Impact factor: 6.185

9.  Niche partitioning in a sympatric cryptic species complex.

Authors:  Jessica J Scriven; Penelope R Whitehorn; Dave Goulson; Matthew C Tinsley
Journal:  Ecol Evol       Date:  2016-01-28       Impact factor: 2.912

10.  Niche partitioning of sympatric penguins by leapfrog foraging appears to be resilient to climate change.

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