Free access
Volume 41, Number 4, July-August 2010
Page(s) 466 - 475
Published online 14 January 2010

© INRA/DIB-AGIB/EDP Sciences, 2010


Flower-visiting guilds can be analyzed by focusing on different aspects. The interaction between social bees and flowering plants has been widely studied, most often by analysing the structure of the mutualistic network (e.g. Olesen and Jordano, 2002; Memmott et al., 2004; Biesmeijer et al., 2005), food niche breadth and niche overlap (Wilms and Wieschers, 1997; Aguiar, 2003), and by studying the role of social bees as pollinators (Heard, 1999). On the other hand, fewer studies focusing on the interactions between social wasps and floral resources have been conducted (Heithaus, 1979; Hermes and Köhler, 2006; Aguiar and Santos, 2007).

Social wasps interact with flora in a unique way: although they are frequent floral visitors for the collection of resources needed for survival, they are seldom pollinators. Some species of social wasps have been observed eating pollen (Hunt et al., 1991; Jones and Jones, 2001). However, differently from bees, the morphology of social wasp is not well-adapted for pollen collection and transportation. Social wasps visit flowers to collect nectar, fibres for nest building or to hunt small insects associated with the flowers (Gess and Gess, 1993).

Bees and social wasps are among the main components of floral resource-collecting guilds in the Neotropical region. The interactions between bees and plants results usually in a direct mutualism where bees pollinate flowers while obtaining food from them (however, not all bees are effective pollinators of the plants they visit). Social wasps can act both as flower visitors and as generalist predators (Resende et al., 2001; Beggs, 2001). The interaction between social wasps and plants may be considered as an indirect mutualism because the plants provide resources and the wasps may provide protection against herbivores for the plants visited, benefiting them indirectly.

Network theory has helped much to understand the community structure of mutualisms by revealing some invariant properties of those systems (Jordano et al., 2003), and also by understanding these properties in the context of many kinds of complex networks (Bascompte and Jordano, 2007). Therefore, we compared a social bee-plant with a social wasp-plant network occurring in a ``Caatinga'' vegetation to identify similarities and differences in the networks formed by two flower-visiting taxa, presenting direct mutualism (food × pollination) or indirect mutualism (food × protection against herbivory). Because both kinds of network represent mutualisms between free-living organisms, we expected them to exhibit a nested structure, as observed in other similar networks (Bascompte et al., 2003). We also expected similar patterns of linkage density, connectance and degree distribution, which are also invariant properties of mutualisms (Jordano et al., 2003). However, considering that bees and wasps come from different evolutionary lineages of hymenopterans, and that they have different interests while visiting flowers, we expected some differences between their networks, as phylogeny seems to play a role in network structure (Jordano, 1987; Bezerra et al., 2009). We expected the bee-plant network to have a higher degree of modularity compared with the wasp-plant network, considering that bees depend on floral resources (nectar/pollen) much more than wasps, and thus the degree of intimacy of interactions among bees and plants is higher than between wasps and plants.


We constructed networks using our previously published data on interactions between bees and plants (Aguiar, 2003), and wasps and plants (Santos et al., 2006). Samples of social bees and wasps visiting flowers were collected in the municipality of Itatim (12°42′S; 39°46′W), State of Bahia, Brazil, in an area covered by a mosaic of ``Caatinga'', a typical semi-arid vegetation of Northeastern Brazil. The study area included both shrubby and semi-deciduous arboreal ``caatinga'' vegetation. A detailed description of the vegetation physiognomy and floristic composition can be found in França et al. (1997). Samples were collected from November 1996 to November 1997, on a monthly basis, along a 3 km long and 20 m wide transect. Two collectors carefully and simultaneously inspected each flowering plant for 5 minutes and flower-visiting bees and wasps were captured using entomological nets.

Each bipartite network (bee-plant and wasp-plant) was described by an adjacency matrix R, in which rows were bee or wasp species and columns were plant species visited. The element rij = 1 meant that bee/wasp species i was observed visiting flowers of plant species j, and rij = 0 that bee/wasp species i did not visit plant species j. We followed an approach used previously in other network studies including bee-plant networks (e.g Vázquez and Aizen, 2004; Aizen et al., 2008), which consider all interacting species as part of the mutualistic network (Jordano et al., 2003). Graphs of two-mode networks were drawn with the ``bipartite'' package running in R (Dormann et al., 2009).

To compare bee-plant and wasp-plant networks, we measured for each network: number of social bees and social wasps, number of plants visited (P), degree of nestedness, number of observed (I) and possible interactions, connectance (C), and interaction density (D) (Bascompte et al., 2003; Bascompte and Jordano, 2006; Guimarães et al., 2006a). Each flower-visiting species recorded on a plant species represented an observed interaction (or link) (I). The interaction density (D) is the mean number of interactions per plant species, and we calculated D separately for each network (bee-plant and wasp-plant). We used the number of observed interactions (I) and the Connectance (C) as measures of generalization. Connectance is given by C = 100 I/NS, where NS (Network size) corresponds to the number of interactions theoretically possible in a network, and it is given by NS = VP, where V is the number of flower-visiting species and P is the number of visited plant species. Connectance is thus the percentage of all possible interactions actually observed within a network (see Bascompte et al., 2003; Biesmeijer et al., 2005; Bascompte and Jordano, 2006; Guimarães et al., 2006b).

We measured the degree of nestedness of each network using distinct metrics: NODF (nestedness metric based on overlap and decreasing fill) (Almeida-Neto et al., 2008) and N (based on matrix temperature, T, where N = (100 − T)/T) (Atmar and Paterson, 1993); both indexes vary from 0 to 1, and values near 1 indicate a highly nested structure. According to Guimarães et al. (2006a), ``nestedness is a specific type of asymmetric interaction characterized by (i) species with many interactions form a core of interacting species, (ii) species with few interactions commonly interacts only with species with many interactions and (iii) the absence of interactions between species with few interactions''.

We estimated the significance of both metrics (NODF and N) with Monte Carlo procedures (1000 randomizations) in the software Aninhado software (Guimarães and Guimarães, 2006). We used the null model 2 from Bascompte et al. (2003), which assumes that the probability that a flower-visiting species interacts with a plant depends on the observed number of interactions of both species.

To assess the network properties of particular species, we used the importance index (Ij) (Murray, 2000), which varies from 0 to 1, to evaluate the importance of each plant species for each flower-visiting group (bees or wasps). In the equation Ij = Σ[(Cij/Ti)/S], Ti is the total number of plant species visited by each visiting species, S the total number of visiting species, and Cij corresponded to the binary data (0/1). This index tends to 1, when a plant species has many interactions in the community or has a large number of exclusive interactions (Murray, 2000).

Modularity in both kinds of network was assessed with the M index (Guimerà and Amaral, 2005), which considers the number of subgroups on the network and linkage density within each subgroup and among subgroups, and is obtained through a simulated annealing procedure. The significance of the M index was estimated with a Monte Carlo procedure (1000 randomizations). One-mode graphs resulting from the modularity analysis were drawn in Pajek 1.24 (Batagelj and Mrvar, 2003).

thumbnail Figure 1

Mutualistic interaction networks in a guild of social bees and wasps using floral resources in a Caatinga vegetation patch. The flower-visiting species (A: all species, B: social wasps and C: social bees) were represented on the left and the visited plants on the right (see abbreviation of the plants in Appendix 1).


Thirteen species of social wasps visited flowers of 42 plant species, and 12 social bees species visited 38 plant species. Both social wasp-plant and social bee-plant networks exhibited a nested structure (Fig. 1). The degree of nestedness was intermediate in both kinds of network as measured with the NODF metric (wasp-plant = 0.43, P = (P < 0.001); and bee-plant = 0.49, P = (P < 0.001). However, nestedness was very high considering the N metric in both cases [wasp-plant = 0.84, P = (P < 0.001); and bee-plant = 0.95; P = (P < 0.001)]. Our data generated matrices (bee-plant and wasp-plant) were more nested (calculated by NODF and N) than randomly generated matrices (n = 1000 to bee-plant and n = 1000 to wasp-plant).

The social wasp-plant network performed 116 from the 546 possible interactions and had connectance of C = 21.24. The social bee-plant network had 72 of the 456 possible interactions, and connectance of C = 15.79.

Seven flower-visiting species formed a core of the wasp-plant network (Polybia ignobilis, P. sericea, P. paulista, P. occidentalis, Polistes canadensis, Brachygastra lecheguana, and Protonectarina sylveirae), accounting for 87.93% of the interactions in the social wasp-plant network. The number of interactions of the 7 most generalistic (sensu Biesmeijer et al., 2005) wasp species was seven times larger than that for the six species with fewer interactions. Six species were particularly important in structuring the bee-plant network (Apis mellifera, Trigona spinipes, Frieseomelitta silvestrii, Plebeia sp., Trigonisca intermedia, and Melipona asilvai), with 90.28% of the interactions in the social bee-plant network. The number of interactions of the 6 most generalistic species (sensu Biesmeijer et al., 2005) was 6 times larger than that for the 6 species with fewer interactions. The topology of the bee-plant network was strongly influenced by A. mellifera, an exotic and highly generalistic species that interacts with 33 out of the 38 plant species (89.47%).

thumbnail Figure 2

Importance index (Ij) for the main plant species suppliers of floral resources for social wasps (Ij = 0.0013 to 0.0854), social bees (Ij = 0.0008 to 0.0587), and for both groups (Ij = 0.0006 to 0.0790). In parenthesis, the number of interactions for each plant (see abbreviation of the plants in Appendix 1).

The whole network formed by pooling together social bees and social wasps exhibited 25 flower-visiting species and 49 plants (Fig. 1), with a connectance (C) of 15.34%. One-hundred eighty-eight interactions were observed, out of the 1225 possible. Nine flower-visiting species accounted for 78.19% of all connections: Apis mellifera (33 interactions), Polybia ignobilis (18), P. sericea (17), Polistes canadensis (17), P. paulista (15), Brachygastra lecheguana (13), Trigona spinipes (12), P. occidentalis (11), and Protonectarina sylveirae (11).

A relatively high proportion of plant species was visited both by social bees and social wasps (63.26%, N = 31), whereas eighteen plant species (36.73%) were visited by only one group: 11 species were visited only by social wasps and 7 only by social bees. Five of the seven plant species visited exclusively by bees were visited only by A. mellifera, an invasive alien species.

As bees and wasps establish different kinds of interactions with the flora, a particular plant species may exhibit different importance values in each network (Fig. 2). Caesalpinia pyramidalis showed the highest importance index for social wasps (10 interactions; Ij = 0.0790), whereas Ziziphus cotinifolia showed the highest importance index for social bees (7 interactions; Ij = 0.0587) (Fig. 2). This plant had the highest number of observed interactions (I = 16) with the flower-visitors.

thumbnail Figure 3

Graphs representing the modular structure (subgroups) of (A) the whole network, (B) the wasp-plant network and (C) the bee-plant network. All graphs are one-mode projections of their original networks and comprise only animal species (bees, wasps or both). Grey tones represent different modules identified in the analysis. In graph A, wasps are represented as triangles, and bees as ellipses.

The mean interaction density (D) between social wasps and the plant species visited only by this group was 1.90 interactions/plant, while the mean interaction density between social bees and the plant species visited only by this group was 1.14 interaction/plant. The modularity of the whole network (bees and wasps together) was relatively low (M = 0.07, P = 0.004) (Fig. 3). There were only two subgroups in the whole network that interacted with slightly different subsets of plants. However there was a high mixture of bees and wasps in each subgroup. The modularity of the network formed only by bees was seven times higher (M = 0.14, P = 0.01) than the modularity of the wasp network (M = 0.02, P = 0.007). In the bee-plant network three subgroups were detected, while in the wasp-plant network there were only two subgroups.


We observed that the flower-visiting networks formed by wasps and plants and bees and plants are very similar in structure, despite representing different kinds of mutualism (defence and pollination, respectively). Our findings reinforce the paradigm that facultative mutualisms result in similar network structures (Bascompte et al., 2003).

The structure of both wasp-plant and bee-plant networks was more nested than expected under null models. The nested structure of the bee-plant and the wasp-plant networks is consistent with other types of facultative mutualism, including pollination and seed dispersal (Bascompte et al., 2003), clownfish-anemone (Ollerton et al., 2007) and marine cleaning symbiosis (Guimarães et al., 2006b). A nested structure is presumed to increase network stability and biodiversity maintenance and, therefore, is considered as an evolutionary-stable strategy (Bascompte et al., 2006). It seems that nestedness is a common configuration in facultative mutualism, because species have a relatively high freedom of changing partners (Bascompte and Jordano, 2007).

The higher connectance of the social wasps-plant network suggests that social wasps were more generalistic than social bees. However, we must be cautious about this preliminary conclusion and conduct further comparative studies with other wasp-plant and bee-plant networks. Additionally, the analysis of modularity in the whole network showed a higher clustering of niches among bees, evidencing indirectly that their higher dependence on the flowers may lead to higher interspecific competition and to niche segregation and subgroup formation. On the other hand, wasps have a weaker relationship with plants, and so niche overlap among wasp species is stronger and modularity is lower.

Only 31 of the 49 plant species visited were used by both groups in this flower-visiting guild. Social bees and social wasps behave similarly during nectar foraging and are, therefore, often cited as generalist and opportunistic. However, our analysis of interaction networks metrics and importance index, showed a clear difference in the relative importance of different plant species as food resource for each of the flower-visiting groups. When looking at the details we noticed that the dependence of wasps and bees on particular plants differed. Our findings support previous data on trophic niches collected for the same taxa, in which relatively low niche overlap levels between social wasps and social bees were observed (Aguiar and Santos, 2007).

According to our data, the exotic species A. mellifera is important both in the bee-plant interaction network and in the overall flower-visiting network. Therefore, further and more detailed studies are needed to measure the levels of invasion of this species in bee communities of Brazilian ecosystems.

In summary, our findings point out that facultative mutualisms produce networks with similar properties. Despite the small differences in topology, in the interaction density, and in the specific aspects of mutualism between bees and plants (direct mutualism – pollination) or wasps and plants (indirect mutualism - defense), both interaction networks have asymmetrical nested topologies with some degree of modularity. A more detailed analysis of the network properties of particular plants and animals suggests that despite those similarities at the network level, future studies should look more cautiously on what is found at the species level. Understanding how different species vary in their importance to the maintenance of network structure and their ecosystem services is crucial for conservation.

Appendix 1

Plant species visited by social wasps and social bees in the caatinga of Itatim (Bahia State, Brasil).

Plant species visited Family Plant species codes
Acacia bahiensis Benth. Mimosaceae AB
Alternanthera brasiliana (L.) Kuntze Amaranthaceae AT
Anacardium occidentale L. Anacardiaceae AO
Boerhavia coccinia Mill. Nyctaginaceae BC
Caesalpinia pyramidalis Tul. Caesalpiniaceae CP
Capparis jacobinae Moric. Capparaceae CJ
Capparis yco (Mart.) Eichl. Capparaceae CY
Cardiospermum corindum L. Sapindaceae CC
Cereus peruvianus (L.) Mill. Cactaceae CV
Chaetocalyx scandens (L.) Urban Fabaceae CS
Chamaecrista belemii (I. & B.) I. & B. Caesalpiniaceae CB
Chlorophora tinctoria (L.) Gaud. Moraceae CT
Cordia aff. globosa (Jacq.) H.B. & K. Boraginaceae CG
Cordia latiloba I.M. Johnston Boraginaceae CL
Croton echioides Baill. Euphorbiaceae CE
Echinodorus subulatus Griseb Alismataceae ES
Erythroxylon catingae Plowman Erythroxylaceae EC
Eugenia rosea DC Myrtaceae ER
Evolvulus glomeratus Nees & Mart. Convolvulaceae EG
Gomphrena holosericea Moq Amaranthaceae GH
Herissantia crispa (L.) Briz. Malvaceae HC
Herissantia tiubae (K. Sch.) Briz. Malvaceae HT
Hydrocleis nymphaeoides Buch Limnocharitaceae HN
Jacquemontia sp. Convolvulaceae JA
Jatropha mollissima (Pohl) Baill. Euphorbiaceae JM
Lippia pohliana Schau. Verbenaceae LP
Melochia tomentosa L. Sterculiaceae MT
Mimosa arenosa(Willd.) Poir. Mimosaceae MA
Mollugo verticillata L. Molluginaceae MV
Nymphoides indica (L.) Kuntze Menyanthaceae NI
Opuntia palmadora Britton & Rose Cactaceae OP
Oxalis sp. Oxalidaceae OX
Passiflora foetida L. Passifloraceae PF
Peltogyne pauciflora Benth Caesalpiniaceae PP
Poeppigia procera Presl. Caesalpiniaceae PO
Portulaca elatior Mart. Portulacaceae PE
Portulaca marginata H.B. & K. Portulacaceae PM
Rhaphiodon echinus (Nees. & Mart.) Schrad Lamiaceae RE
Senna spectabilis (DC.) I. & B. Caesalpiniaceae SS
Sida galheirensis Ulbr Malvaceae SG
Sida sp. Malvaceae SI
Sidastrum paniculatum (L.) Fryxell Malvaceae SD
Sideroxylon obtusifolium (R. & S.) Penn. Sapotaceae SO
Solanum gardnerii Sendtn Solanaceae SL
Solanum paniculatum L. Solanaceae SP
Stigmaphyllon auriculatum (Cav.) A. Juss. Malpighiaceae SA
Syagrus vagans (Bondar) A.D. Hawkes. Arecaceae SV
Tabebuia heptaphylla (Vell.) Toledo Bignoniaceae TH
Ziziphus cotinifolia Reiss. Rhamnaceae ZC


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All Tables

All Figures

thumbnail Figure 1

Mutualistic interaction networks in a guild of social bees and wasps using floral resources in a Caatinga vegetation patch. The flower-visiting species (A: all species, B: social wasps and C: social bees) were represented on the left and the visited plants on the right (see abbreviation of the plants in Appendix 1).

In the text
thumbnail Figure 2

Importance index (Ij) for the main plant species suppliers of floral resources for social wasps (Ij = 0.0013 to 0.0854), social bees (Ij = 0.0008 to 0.0587), and for both groups (Ij = 0.0006 to 0.0790). In parenthesis, the number of interactions for each plant (see abbreviation of the plants in Appendix 1).

In the text
thumbnail Figure 3

Graphs representing the modular structure (subgroups) of (A) the whole network, (B) the wasp-plant network and (C) the bee-plant network. All graphs are one-mode projections of their original networks and comprise only animal species (bees, wasps or both). Grey tones represent different modules identified in the analysis. In graph A, wasps are represented as triangles, and bees as ellipses.

In the text