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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Funct Ecol. Author manuscript; available in PMC 2018 January 1.
Published in final edited form as:
PMCID: PMC5363726
NIHMSID: NIHMS813683

The long and the short of it: a global analysis of hawkmoth pollination niches and interaction networks

Summary

1. Proboscis length has been proposed as a key dimension of plant pollination niches, but this niche space has not previously been explored at regional and global scales for any pollination system. Hawkmoths are ideal organisms for exploring pollinator niches as they are important pollinators in most of the biodiverse regions of the earth and vary greatly in proboscis length, with some species having the longest proboscides of all insects.

2. Using datasets for nine biogeographical regions spanning the Old and New World, we ask whether it is possible to identify distinct hawkmoth pollination niches based on the frequency distribution of proboscis length, and whether these niches are reflected in the depths of flowers that are pollinated by hawkmoths. We also investigate the levels of specialization in hawkmoth pollination systems at the regional and community level using data from interaction network studies.

3. We found that most regional hawkmoth assemblages have bimodal or multimodal distributions of proboscis length, and that these are matched by similar distributions of floral tube lengths. Hawkmoths, particularly those with longer proboscides, are polyphagous and at the network level show foraging specialization equivalent to or less than that of bees and hummingbirds. In the case of plants, shorter-tubed flowers are usually visited by numerous hawkmoth species, while those that are longer-tubed tend to exclude shorter-proboscid hawkmoths and thus become ecologically specialized on longer-proboscid hawkmoth species. Longer-tubed flowers tend to have greater nectar rewards and this promotes short-term constancy by long-proboscid hawkmoths.

4. Our results show that pollinator proboscis length is a key niche axis for plants and can account for patterns of evolution in functional traits such as floral tube length and nectar volume. We also highlight a paradoxical trend for nectar resource niche breadth to increase according to proboscis length of pollinators, while pollinator niche breadth decreases according to the tube length of flowers.

Keywords: adaptive radiation, biogeography, coevolution, community ecology, ecological shifts, floral adaptation, long-tongued, nectar, Sphingidae

Graphical Abstract

A global perspective on hawkmoth pollination niches Steven Johnson, Marcela Moré, Felipe Amorim, William Haber, Gordon Frankie, Dara Stanley, Andrea Coccuci and Robert A. Raguso

Niches are ecological opportunities for organisms and determine where they can survive and reproduce. To occupy a particular niche, species must either evolve or already possess certain functional traits. Some of the major challenges in the field of ecology are to identify niches in nature, to uncover the various environmental variables that define niches, and to discover which traits are important for niche occupancy. Because pollination is usually required for seed production in plants, animal pollinators represent niches that plants adapt to in order to reproduce successfully. In this study we sought to determine whether proboscis length is a key dimension of the pollination niche. We used hawkmoths as a study system since these insects are important pollinators of night-flowering plants, particularly in the species-rich tropics, and vary greatly in the length of their proboscides. The analyses were based on studies conducted in nine regions spread across the Old and New Worlds. In many of these studies, relationships between plants and hawkmoths were inferred from analysis of the pollen loads carried by the hawkmoths.

The proboscis lengths of hawkmoths can vary between 2 cm and 25 cm, even within a single community, and tend to exhibit a frequency distributions characterized by several peaks (multimodality). These peaks can be considered to be pollination niches, and this proposition is supported by a good match between peaks in the frequencies of hawkmoth proboscis length and tube lengths of night-opening flowers.

Analysis of the networks of interactions between hawkmoths and flowers reveals that hawkmoths are even more generalist in their foraging habits than are bees and hummingbirds. Long-proboscid hawkmoths have a particularly wide niche breadth in terms of the diversity of flowers that they visit, although they tend to concentrate their foraging activity on longer-tubed flowers that have greater nectar rewards. By contrast, the hawkmoth pollination niche for plants becomes narrower and more specialized as their floral tube length increases.

This is the first study that has explored morphological niche axes for a pollination system at both regional and global scales. The approach could be extended to other pollination systems and could ultimately help to explain species distributions as well as co-diversification of insects and angiosperm flowers. By incorporating traits into analyses of species interaction networks, biologists may finally be able to identify some of the key principles underlying pollination niches.

Flowers of the African shrub Gardenia thunbergia are pollinated exclusively by the convolvulus hawkmoth Agrius convolvuli. The 10 cm floral tube of this shrub matches the length of proboscis of this hawkmoth species. Photograph by Steven Johnson.

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Introduction

Ecological niches have two important consequences for biodiversity. In the ecological sense, niches determine where species occur and whether they coexist (Chase & Leibold 2003; Silvertown 2004). In the evolutionary sense, niches shape traits that are required for niche occupancy (Losos 2010). Indeed, trait modifications often provide valuable clues about the existence of niches in a habitat. For example, diversification in bill morphology of birds (Galapagos finches being the most famous example) can provide clues about the existence of different feeding niches in the habitats occupied by these birds (Grant & Grant 1982). Similarly, particular combinations of floral traits can provide an indication of the availability of pollinator niches (Fenster et al. 2004). Pollinators are niches for plants in the sense that they represent ecological opportunities that can be exploited for enhancement of fecundity (Johnson 2010). Sampling of assemblages of animal flower visitors can also provide direct information about the availability of pollinator niches in communities (Ackerman 1985; Haber & Frankie 1989). Because specialization for occupancy of particular niches shapes trait evolution (Devictor et al. 2010), ecological shifts between niches are believed to be a major driver of adaptive radiation in plants and animals (Schluter 2000; Losos & Mahler 2010). Here we focus specifically on the role of hawkmoth pollinator niches in modifications of plant floral traits at local and global scales.

Hawkmoths are ideal subjects for examining the importance of proboscis length as a niche axis for plants because proboscis length varies widely (from 1-28 cm) in this insect group (Miller 1997; Kitching & Cadiou 2000) and because a large number of unrelated plant species across the globe show convergent evolution of flowers that are specifically adapted to these insects (Silberbauer-Gottsberger & Gottsberger 1975; Grant 1983; Martins & Johnson 2013; Amorim, Wyatt & Sazima 2014)(Fig 1). Selection on floral tube length of several plant species has been shown to be mediated by morphometric interactions with the proboscis length of hawkmoths (Nilsson 1988; Alexandersson & Johnson 2002; Moré et al. 2012).

Figure 1
Representative examples of hawkmoth-adapted flowers showing convergent evolution across continental land masses. a) Mandevilla longiflora (Apocynaceae). b) Jaborosa integrifolia (Solanaceae). c) Craniolaria argentina (Martyniaceae). d) Calylophus tourneyi ...

The moth family Sphingidae comprises about 1400 species and 200 genera worldwide (Kitching & Cadiou 2000; Kawahara et al. 2009). About 70% of these species occur in Africa (Old World) or the Americas (New World) (Schreiber 1978). Biogeographic regions mostly have distinct hawkmoth faunas. For example, of the 26 genera that occur in the Neotropics, only eight are shared with the Old World and six with the Nearctic region (Schreiber 1978). Adults of most hawkmoth species bear functional proboscides and feed from flower nectar (Fig 2a-f). However, some species lack proboscides or have exceedingly short ones and may not feed as adults. Except for some strictly diurnal hawkmoths, such as species of Aellopos, Hemaris, and Macroglossum, most species are crepuscular and nocturnal.

Figure 2
Examples of interactions between hawkmoths and flowers. A-b) Long-proboscid hawkmoths effectively pollinate flowers with a depth that matches the proboscis length. A) Agrius cingulata on Bauhinia mollis (Fabaceae) in Argentina. B) Agrius convolvuli on ...

Phylogenies based both on morphological and molecular data have confirmed the existence of three monophyletic clades -- Smerinthinae, Sphinginae and Macroglossinae – within the Sphingidae (Kawahara et al. 2009). Species with longer proboscides are restricted to the Sphinginae and the first lineage to branch off in this clade contains the palaeotropical genus Xanthopan and a neotropical group consisting of Amphimoea, Cocytius and Neococytius (Kitching 2002; Kawahara et al. 2009). This lineage includes three species with proboscides longer than 20 cm. Old and New World hawkmoths in this lineage may share long proboscides through common descent rather than independent evolution. Since hawkmoths likely have an Old World origin (Kawahara et al. 2009), it is plausible that some of the hawkmoths in this group that colonized the New World already possessed long proboscides, particularly so since long-proboscid hawkmoths are polyphagous and do not strictly depend on long-tubed flowers for nectar (Haber & Frankie 1989; Martins & Johnson 2013; Amorim et al. 2014).

The first pieces of the puzzle of whether there is matching of hawkmoth proboscis and flower tube lengths were obtained independently from the Old and New World. Darwin (1862) famously predicted the existence of a long-proboscid hawkmoth in Madagascar based on the extremely long (c. 29 cm) floral spur of the star orchid Angraecum sesquipedale (Arditti et al. 2012). Soon afterwards, Hermann Müller reported the existence of a hawkmoth with a 25 cm proboscis discovered by his brother Fritz in the South of Brazil (Müller 1873). This moth was most likely a specimen of Amphimoea walkeri or Neococytius cluentius (Moré, Kitching & Cocucci 2005). We now know that the length of the spur of Darwins's orchid matches that of the Malagasy hawkmoth Xanthopan morganii subsp. praedicta, and that there are flowers of plant species in South America that match the proboscis of Müller's hawkmoth (Silberbauer-Gottsberger & Gottsberger 1975). These species represent the extremes of hawkmoth and flower dimensions. What are much less well known is the actual distributions of hawkmoth proboscis and floral tube lengths across the world, and the consequences of the dimensions of these traits for the levels of specialization in pollination systems.

While proboscis length is a plausible niche axis for plants, it should be borne in mind that like many other niches in nature, proboscis length niches arose gradually by historical biotic interactions. Despite some suggestions to the contrary (Wasserthal 1997), coevolution with flowers was almost certainly responsible for the evolution of very long proboscides in hawkmoths (Nilsson 1998), as has been shown empirically for other insect-plant associations (Anderson & Johnson 2008; Toju 2008; Pauw, Stofberg & Waterman 2009). However, it is also very likely that the vast majority of extant hawkmoth-pollinated plants has adapted to existing proboscis lengths of hawkmoths by a process of ecological shifts from other pollinators, including hawkmoths with shorter proboscises (Wasserthal 1997; Whittall & Hodges 2007).

Recent studies in Africa suggest that long-proboscid hawkmoths comprise a niche for plant pollination that is distinct from the niche for pollination by short-proboscid hawkmoths. This is evident from the bimodal distribution of hawkmoth proboscis lengths with modes at c. 4 cm and c. 10 cm, and a corresponding bimodal distribution in the flower tube lengths of hawkmoth-adapted flowers (see Martins & Johnson 2013; Johnson & Raguso 2016). Studies in the New World and Madagascar have suggested a more complex picture with more even distributions of proboscis length across species (Nilsson et al. 1985; Agosta & Janzen 2005; Sazatornil et al. 2016). Given the importance of hawkmoth pollination in tropical and subtropical regions of Africa and the Americas, we considered it opportune to review the morphometrics of hawkmoth pollination systems at a global scale. In addition, there is a growing amount of data on interactions between hawkmoths and plants, allowing assessment of the relationships between trait values and levels of specialization in these interactions. Existing studies suggest that hawkmoths are highly polyphagous and readily feed on flowers which have tubes much shorter than their proboscis lengths (Fig 2c, d) while plants adapted to hawkmoths are more specialized, particularly when long-tubed (Nilsson et al. 1987; Haber & Frankie 1989; Martins & Johnson 2013; Amorim et al. 2014). To determine whether hawkmoth pollination systems are generally characterized by asymmetry between generalist pollinators and specialist plants, we collated existing studies of interactions between hawkmoths and plants. These included studies of interaction networks involving hawkmoths and plants at the level of local communities. Network studies allow the calculation of measures of interaction specialization that take into account estimates of the availability of species that can potentially interact. Different insights are obtained from absolute measures of specialization, such as the number of species with which a given species interacts versus measures that are standardized and take local assemblages into account (Kay & Schemske 2004; Maglianesi et al. 2014). We use both approaches in this study and feel that the merits of each approach depend on the particular questions posed and the spatial scale of the analyses. For example, niche breadth is best studied using absolute measures of specialization at the regional scale, while niche specialization is best studied using frequencies of interactions at the local community level.

The overall aim of this study was to assess the structure of hawkmoth pollination niches and hawkmoth-plant interaction networks worldwide. To do so we addressed the following specific questions: 1) Are regional hawkmoth assemblages characterized by unimodal or multimodal frequency distributions of proboscis length? 2) Do the tube lengths of night-opening flowers correspond to the frequency distribution of hawkmoth proboscis lengths at the regional and global scales? 3) Are longer-tubed night-opening flowers visited by fewer hawkmoth species with longer proboscides, and do they offer greater nectar rewards than shorter-tubed night-opening flowers? 4) What is the structure of hawkmoth-plant visitation networks (in terms of overall specialization and hawkmoth foraging specialization), and how do levels of specialization in these networks vary across biogeographical regions and compare with networks involving other functional groups of flower visiting animals, such as bees and hummingbirds, as well as entire assemblages of flower visitors?

Methods

Study Sites

The analyses in this paper are based on datasets on hawkmoth-plant interactions at 11 sites representing nine biogeographical regions distributed across the Old and New Worlds. The Old World sites were Mpala and Kitingela representing the drylands region in Kenya (Martins & Johnson 2013), subtropical South Africa (Johnson & Raguso 2016) and Madagascar (Nilsson et al. 1985; Nilsson et al. 1987; Baum 1995). The New World sites were the Sonoran desert in North America (Alarcon, Davidowitz & Bronstein 2008), Guanacaste dry forest in Costa Rica (Haber & Frankie 1989), Cerrado (Neotropical savanna) and Atlantic Rainforest in the Southeast of Brazil (Amorim et al. 2009; Amorim et al. 2014), and Chaco montane dry woodland and two transitional zones (CY1 and CY2) between western Chaco woodland and Yungas montane rainforest in Argentina (Moré 2008; Sazatornil et al. 2016). Existing datasets for these regions were supplemented with additional previously unpublished data collected by the authors. Datasets not published elsewhere are available in the supplementary material.

The analyses in this study were conducted at different spatial scales depending on the questions that are posed and the availability of data. Analysis of morphometric niches were based on the level of biomes or vegetation types. Correlates between floral tube length and hawkmoth diversity and nectar properties were conducted at the regional biogeographical scale. Analyses of interaction networks were conducted at the level of local communities since the metrics for these analyses assume that all species can potentially interact.

Regional Hawkmoth Faunas and Plant Floras

To establish the frequency distribution of hawkmoth proboscis length in each biome or vegetation type, we used data from light-trapping surveys, apart from the Kenya drylands where we used a survey of hawkmoths netted on flowers. Sampling details are given in the source references provided above. In total we obtained data for 7228 individual hawkmoths. The number of hawkmoth individuals recorded per region varied from 386 to 1380 (median = 807) and the number of plant species ranged from 9 to 63 (median = 27). We measured hawkmoth proboscis length from all captured moths to the nearest 0.1 mm with a digital calliper or to the nearest 1 mm with a steel ruler, or used values provided by authors that used the same measurement protocols. Nomenclature and classification of hawkmoths follow Kitching (2015). The frequency distribution of hawkmoth proboscis lengths was plotted at 1 cm intervals for species and individuals in each region.

For each region we compiled assemblages of plant species that are likely to be hawkmoth-pollinated. This was done using previously published studies, direct observations and pollen load analyses as described below in the section on network analyses, and floral syndrome traits for species in regional floras in different herbaria (CORD, LIL and SI in Argentina, HUFU and UEC in Brazil) and systematic monographs. For the latter we considered flowers that are pale, scented, night-opening and have a long (>2 cm) narrow floral tube likely to be adapted for hawkmoth pollination. Flower length was measured to the nearest 1 mm using a digital calliper or steel ruler for three flowers per plant and ten plants per species when their abundances allowed it. We measured flower length as corolla tube length in tubular and salverform flowers or as the distance between stigma and nectar in brush-type and funnel-shape flowers. Regional assemblages of putative hawkmoth-pollinated plant species varied from 9 to 252 species (median = 48). For each region, we plotted the frequency distribution of floral tube lengths for these species at 1 cm intervals.

To assess whether the frequencies of hawkmoth proboscis lengths and flower tube lengths were significantly multimodal (an indication of different niches), we used Hartigans' diptest (Hartigan & Hartigan 1985), which is a nonparametric test for multimodality of the data. As the diptest is known to produce very conservative P values (Xu et al. 2014), we also used finite mixture models which determine the number of Gaussian distributions that best account for the structure of the data. Finite mixture models do not strictly test for multimodality, but multimodal distributions tend to be best fitted by models with more than one Gaussian distribution (Gowell, Quinn & Taylor, 2012). Model selection was based on AICc values and models that differed by more than 10 units from the best fitting model (lowest AICc value) were considered to lack support (Burnham & Anderson, 2004). Hartigans's diptest was implemented in the Diptest package (Maechler & Ringach, 2015) in R (version 3.3.1, R Core Team, 2014), and the finite mixture models were implemented in PAST (Hammer, Harper & Ryan, 2001).

Relationships Between Traits and Ecological Specialization

To investigate the relations between floral tube length and the size and composition of hawkmoth visitor assemblages at regional and global scales, we used data obtained from the community network studies described below, supplemented with previously published studies of hawkmoth pollination of plants. For this purpose, we updated a survey by Grant (1983) to include more recently published studies (Table S1). We used generalized linear models implemented in SPSS 23 (IBM Corp.) to explore the relations between floral tube length and hawkmoth visitor assemblages. Models predicting the number of hawkmoth visitor species as a response variable incorporated a Poisson distribution and log link function, while models predicting the proportion of hawkmoth visitor species with long proboscides (>6 cm) incorporated a binomial distribution and logit link function. These models included floral tube length as a covariate and the fixed factors, World (Old vs New), site (nested within World), and the interaction between World and tube length. Significance in all generalized linear models was assessed using likelihood ratio tests.

We investigated the relationships between the proboscis length of hawkmoth species and foraging specialization (in terms of the number of plant species that they are known to visit) using linear regression based on data from the network studies described below and published studies, where applicable. Analysis of the general relationships between proboscis length of hawkmoth species and foraging specialization was conducted using analysis of covariance (ANCOVA). This analysis did not include World (Old vs New) because community level data for hawkmoth specificity in the Old World was available for Kenya only. The ANCOVA included community as a fixed factor, proboscis length as a covariate and the interaction of community and proboscis length.

Covariation of Floral Tube Length and Nectar Rewards

We obtained data for floral nectar rewards of 110 plant species visited by hawkmoths. These data were obtained from previously published studies or from our own previously unpublished measurements (Supplementary material). The volume of nectar in unvisited newly open flowers (typically 3-10 from each of 10 plants per species) was measured using graduated microliter syringe (Hamilton, NV, USA) or micropipettes and the sugar concentration established using 0-50% refractometers (e.g. Atago, Tokyo, Japan). The amount of sugar available per flower was calculated using the methods given in Cruden & Hermann (1983). Univariate relationships between nectar sugar content and floral tube length were explored using linear regression. Global models testing nectar volume and nectar sugar content as a response variable incorporated a Gaussian distribution and identity link function. These models included floral tube length as a covariate and the fixed factors, World (Old vs New), site (nested within World), and the interaction between World and tube length.

Network Analyses

For nine of the 11 study sites, interactions between hawkmoths and flowers were recorded at the level of a local community, allowing us to construct quantitative hawkmoth-plant interaction networks (Table 1). Interactions were established by pollen load analysis and by direct observations and netting or photography of hawkmoths visiting flowers. For pollen load analyses of hawkmoths sampled in light traps, individuals were inspected under a stereo microscope to locate pollen loads which were then mounted in glycerine jelly or treated by acetolysis for later study (Kearns & Inouye 1993). Pollen identifications were made by comparison with reference samples taken from flowering plants present in each community (Kislev, Kraviz & Lorch 1972) or with pollen identification guides (Markgraf & D'Antoni 1978). Interaction data were converted into matrices representing the number of recorded interactions between each hawkmoth and plant species. Across these networks, the number of hawkmoth species ranged from 3-55 (median =14) and the number of plant species ranged from 9-34 (median = 19). Six networks were based on pollen load analysis of light trapped hawkmoths to record hawkmoth-plant interactions indirectly, while two networks were based on direct observations of moths visiting flowers, and one network (from Costa Rica) was assembled using both approaches (Table 1). For the latter network (Table S2), the visitation data represented a smaller network (113 interactions) than the one based on pollen analysis (526 interactions). However, both pollen and visitation networks captured a number of unique interactions (Table S3) and were therefore combined for analysis.

Table 1
Location, summary data, and references for the nine hawkmoth-flower visitation networks included in this study. All networks were quantitative; s = sampling method, hm = no. hawkmoths, pla = number plant species, H2′, a measure of ecological specialization ...

We calculated network specialisation using the index H2′ (Blüthgen et al. 2006). This index ranges from 0 (most generalised) to 1 (most specialised). To assess whether values of H2′ obtained for each network differed significantly from random networks, we used the null model method described by Blüthgen et al. (2006). This was based on 10 000 randomizations and was carried out using software available online (http://rxc.sys-bio.net/).

We measured specialisation of flower visitors in two main ways. Firstly, we calculated unweighted generality as the mean number of plant species with which a hawkmoth species interacts. Secondly, we calculated hawkmoth specialisation (di') for each hawkmoth species using the standardized Kullback-Liebler distance, which compares the distribution of the interactions with each partner (in this case plants) to partner availability (Bluthgen et al. 2006). We also calculated an overall measure of specialisation for the entire hawkmoth community in each network (<d'>), using a mean value of the standardised index di' weighted by the number of hawkmoth interactions as an estimate of abundance, since independent measures of abundance were not available (Blüthgen et al. 2006). All network analyses were carried out in the bipartite package (v. 2.05; Dormann et al. 2009) in R (version 3.1.0, R Core Team, 2014) using the networklevel (Dormann, Gruber & Fruend 2008) and specieslevel (Dormann 2011) commands.

To determine if levels of specialization vary among networks involving different pollinator groups, we compared values of H2′ for the nine hawkmoth-plant networks with those for hummingbird-plant (n= 16), bee-plant (n= 15) and complete visitor-plant interaction networks in which all flower visitors were recorded (n = 35). We obtained metrics for the hummingbird and complete networks presented in Schleuning et al. (2012). Bee-plant networks were obtained by extracting bee-plant interaction data from 15 quantitative networks from the Interaction Web Database (https://www.nceas.ucsb.edu/interactionweb/index.html; accessed 21st March 2016) and other sources (see Table S4; some networks from the database had low numbers of bees and so these were not included). To compare hawkmoth specialisation to that of other pollinator groups, we used measures of unweighted generality and <di'> for each network. We tested for differences in specialization among networks and pollinator groups using analysis of variance with Sidak post-hoc tests for comparisons of means.

Results

Regional Hawkmoth Faunas and Plant Floras

We found a remarkable degree of matching between the frequency distributions of proboscis length in hawkmoths and floral tube length in plants across the various regions included in this study (Fig 3). Trait distributions appear bimodal for moth and plant assemblages in the Sonoran desert of North America, the Brazilian Cerrado and in Kenya and South Africa on mainland Africa. Trait distributions appear multimodal and less sharply defined for the remainder of the regions in Central and South America and in Madagascar. Using Hartigans' diptest, we found very strong statistical support for deviations from unimodality for all assemblages of hawkmoth individuals and for several plant assemblages (Table S5). Finite mixture models with a single Gaussian component were not supported for any assemblages, while models with 2-4 Gaussian components were generally well supported (Table S5). By visual inspection, the frequency distributions of proboscis lengths of hawkmoth individuals (thus, taking the abundance of different species into account) matched those of floral tube lengths better than did the frequency distributions of the mean proboscis lengths of hawkmoth species (Fig 3).

Figure 3
Frequency distributions for proboscis length of hawkmoth species (black bars, upper panel), hawkmoth individuals (blue bars, middle panel) and plant species (red bars, lower panel) in various biogeographical regions of the Americas and Africa (including ...

Relationships Between Traits and Ecological Specialization

The number of hawkmoth visitor species, an absolute measure of ecological specialization, declined significantly with increasing floral tube length in five of the seven regions included in this study (Fig 4). The number of hawkmoth species recorded per plant varied significantly among regions and was negatively associated (β = - 0.092) with floral tube length (Table S6). The proportion of hawkmoth visitors with long proboscides (> 6 cm) increased significantly with floral tube length in five of the seven regions for which these data were available (Fig 5). The proportion of visitors with long proboscides increased positively (β = 0.485) with floral tube length and was significantly higher in the Old World (42%) than in the New World (35%), and also differed significantly among regions (Table S6). The significant interactions between World and tube length (Table 1) reflects the steeper rise in the fraction of long-proboscid moths with tube length in the Old World compared to the New World.

Figure 4
The relationships between floral tube length and the diversity of hawkmoth visitor species in various regions of the Old and New World.
Figure 5
The relationships between floral tube length and the proportion of hawkmoths visitors that have long-proboscides (> 6 cm).

The number of plant species known to be visited by hawkmoths showed a significant positive relationship with proboscis length at some sites (Fig S1). In an ANCOVA model involving the six sites for which these data were available, there was no significant difference (F = 1.84, P = 0.11) among sites in the number of plant species visited by moths (means ranged from 4.0 to 5.1 plant species per hawkmoth species). However, there was a significant positive association (β = 0.121) overall between proboscis length and plant species visited (F = 11.4, P = 0.01), and a significant interaction between site and proboscis length (F = 2.81, P = 0.018), implying geographical variation in the slopes of the relationships between hawkmoth proboscis length and plant species visited.

Covariation of Floral Tube Length and Nectar Rewards

Nectar volume was positively correlated with floral tube length for six of the seven regions (Fig 6). A highly significant positive relationship (β = 2.433) between floral tube length and nectar sugar content was also evident in the global model (Table S6). Very similar relationships were evident for nectar sugar content which was positively correlated with floral tube length for six of the seven regions (Fig S6), and showed a general positive relationship with tube length (Table S6). The only region in which these relationships were not significant was Madagascar which had the fewest available nectar data for plants visited by hawkmoths.

Figure 6
The relationships between floral tube length and nectar volume for plant species in various regions of the Old and New World. Two outlying values (arrowed) were not included in the regression for the Costa Rica site.

Network Analyses

Overall levels of specialization (H2′) varied significantly among networks involving different pollinator groups (F3,69 = 10.1, P < 0.001). The mean value of H2′ for hawkmoth-plant networks (0.287 ± 0.047) was significantly lower than that for bee-plant networks (0.59 ± 0.036) and whole networks (0.48 ± 0.024), but did not differ from that for hummingbird-plant networks (0.42 ± 0.036).

There was significant variation in unweighted generality between pollinator groups (F3,69= 10.52, p<0.001). Generality for hawkmoths (5.37 ± 0.85) did not differ significantly from that for hummingbirds (6.64 ± 0.65) and bees (2.96 ± 0.65), but was significantly greater than for general assemblages of pollinators in complete networks (2.59 ± 0.43; P = 0.028). Community level pollinator specialization (<d'>) also varied significantly among pollinator groups (F3,68= 2.80, P = 0.046), with mean values for hawkmoth-plant networks (0.28 ± 0.05) being significantly lower than those involving bees (0.44 ± 0.35), but not differing from those involving hummingbirds (0.38 ± 0.04) and general assemblages (0.35 ± 0.02). Network-level specialization of hawkmoth species (di') did not differ significantly among sites (F7,176 = 0.39, P = 0.902) and was not significantly correlated with proboscis length (F1,176 = 1.49, P = 0.222). There was also no significant interaction among site and proboscis length in terms of their effect on hawkmoth specialization (F7,176 = 1.65, P = 0.124).

Discussion

Our results show that the frequency distributions of tube length in flowers conforming to the syndrome of hawkmoth pollination are often multimodal, reflecting the availability of two or more hawkmoth pollination niches in most plant communities analysed. While plants show increasing specialization for pollination by long-proboscid hawkmoths with increased floral tube length, the opposite pattern is evident for hawkmoths, as longer-proboscid species tend to be more generalist in their foraging habits. This asymmetry, whereby plants specialize on generalist insects for pollination, is well documented for other pollination systems (Váazquez & Aizen 2004).

Hawkmoth Pollinator Niches for Plants

A novel aspect of our study is the use of frequency distributions for traits of individuals as well as species as a means of identifying morphometric niches. The rationale is that the availability of a pollination niche is determined not only by the occurrence of a potential pollinator species but also by its abundance. The value in this approach is illustrated by two examples. In North America, studies over more than a century have shown that the assemblage of short-proboscid moths is dominated by Hyles lineata and in many habitats this moth is the locally most abundant and effective pollinator for many plant species (Grant 1983)(Supplementary material). The distribution of proboscis lengths for individual hawkmoths in the Sonoran desert is a far better match to the distribution of floral tube lengths than is the distribution of species in which rare and common species have equal weighting (Fig 3). In the drylands of Africa, the long-proboscid hawkmoth Agrius convolvuli is extremely abundant, comprising up to 50% of all hawkmoths in local assemblages (Martins & Johnson 2013; Johnson & Raguso 2016). Several hundred plant species have become adapted for pollination by this moth (Johnson & Raguso 2016) and this is highly likely to be a result of the abundance of individuals.

The assessment of hawkmoth pollinator niches in this study is based largely on light-trapping data. If light-trapping is selective, then this method could give misleading results. We have several reasons to be confident that light-trapping provides a reasonable measure of the availability of different hawkmoth species in a community. Firstly, the shape of the distribution of hawkmoth traits was largely matched by that for plant traits (Fig 3). A notable exception was Argentina where the plant species with the longest floral tubes were not matched by very long-proboscid hawkmoths. This may reflect that some long-proboscid hawkmoths at the Argentina site are resistant to light-trapping (Butler et al. 1999) or, alternatively, that hawkmoths are able to partially enter the floral tubes of Cactaceae, the family which has the longest tubed flowers at the Argentina sites. Secondly, the proboscis length distribution of hawkmoths observed on flowers in Kenya closely matched the proboscis length distribution of hawkmoths light-trapped in nearby Tanzania (Robertson 1977) and in South Africa (Johnson & Raguso 2016). In Madagascar, Nilsson (1992) noted that the frequency of hawkmoth species observed on flowers of an orchid species was almost identical to that obtained by light-trapping in the same habitat. Beck & Linsenmair (2006) directly tested whether light trapping results in faunistic sample bias in a study of the hawkmoths of northeast Borneo. Their findings suggest that as long as light trapping was continued throughout the night and was repeated for at least a week in each season, it resulted in an accurate, unbiased representation of local sphingid diversity.

Gaps in Tropical Asia and Australia

Given the information available for the Nearctic, Neotropical and Afrotropical biogeographic realms, the relative dearth of comparable information on hawkmoth pollination in the Australasian and Indomalayan realms is surprising. More than half of the 75 hawkmoth species found in Australia are endemics (Rougerie et al. 2014), and this fauna includes many genera (Agrius, Deilephila, Hippotion, Macroglossum, Nephele and Theretra) that are known to forage for floral nectar elsewhere in Africa and Asia (Nilsson et al. 1992; Miyake & Yahara 1998). However, at present there is very little available information on the range of flowering plants utilized by hawkmoths for nectar in Australia (Hopper 1980; Howell & Prakash 1990; Baum 1995). General syntheses of plant-pollinator affinities in Australia (Armstrong 1979; Williams & Adam 1994; Hansman 2001), tropical India (Devy & Davidar 2003; Devy & Davidar 2006), and Malaysia (Momose et al. 1998) suggest that sphingophily is at best a very minor pollination niche in these regions.

There are some autoecological studies in Japan, that document hawkmoth pollination of specific plants or lineages (Inoue 1986; Miyake & Yahara 1998; Hirota et al. 2012; Hirota et al. 2013), but lacking for both Japan and neighboring China are community studies of plant-hawkmoth interactions, such as those we used for this review. The faunistic-ecological disconnect is perhaps strongest in the Oriental or Indomalayan realm, where the hawkmoth fauna is well understood in terms of its diversity, endemism and species distributions (Schulze, Hauser & Maryati 2000; Beck, Kitching & Eduard Linsenmair 2006). Pollen found on light-trapped moths in the Smerinthine tribe Ambulycini confirms that these moths are flower visitors (Beck et al. 2006). Nevertheless, advanced biogeographic and faunistic knowledge of Indomalayan sphingids translates poorly into ecological representation in community studies of plant-pollinator affinities (Momose et al. 1998; Devy & Davidar 2006). One possible reason for this disconnect is the numerical dominance of macroglossine species across this region (202 spp.) as compared with low diversity of sphingine species (24 spp.), with species in the former subfamily thought to prefer disturbed or open habitats omitted from the pollination studies cited above (Beck et al. 2006).

Morphometric Traits and Specialization

The trend for longer-proboscid hawkmoths to be generalist in their exploratory foraging seems counterintuitive since the coevolutionary process that likely gives rise to long proboscides would be expected to involve a certain degree of reciprocal specialization between plants and their pollinators. The conundrum is partially solved by evidence that nectar rewards are greater in longer- tubed flowers than in shorter-tubed ones (Fig 6). Despite the polyphagous behaviour of long-proboscid hawkmoths, they would stand to gain by modifications in proboscis length that enable them to access nectar from these longer-tubed flowers. The larger rewards in longer-tubed flowers would promote temporal constancy by long-proboscid hawkmoths. Indeed, there is evidence that although long-proboscid hawkmoths are polyphagous, they concentrate their foraging efforts on longer-tubed plant species (Sazatornil et al. 2016). Nevertheless, long-proboscid hawkmoths retain the option to visit shorter tubed flowers for nectar. This behavioral hedge may be important when long-tubed flowers are scarce, e.g., during seasonal changes and migration (Haber and Frankie 1989; Amorim et al. 2014) or when competition for long-tubed flowers becomes significant. Longer proboscis lengths are correlated with larger body size and lower abundance, so that long-proboscid species may be at a disadvantage in scramble competition with the more species rich and individually abundant short-proboscid species (Rodriguez-Girones & Llandres 2008).

Miller (1997) noted that hawkmoths with the longest tongues tend to utilize larval host plants with inconspicuous or ephemeral growth forms, whereas those with shorter or non-functional tongues tend to utilize more apparent, long-lived plants (shrubs, trees) as hosts. Miller's study revealed that hawkmoths with the longest proboscides also had the largest bodies and did not mature all of their eggs at eclosion, suggesting that adult nectar meals would be needed both to fuel long distance dispersal for oviposition and to increase fitness by maturing more eggs (O'Brien 1999). One clear prediction from Miller's hypothesis is that moths with long proboscides should demonstrate more generalist foraging patterns, visiting flowers opportunistically, including those that are not primarily adapted to them as pollinators, as they disperse over great distances (Amorim et al. 2014). This prediction is consistent with the patterns that emerge from this study.

Data for bumblebees and euglossine bees show a pattern similar to what we found for hawkmoths in that species with longer proboscides visit a greater number of plant species than do those with shorter proboscides (Harder 1985; Borrell 2005). However, hummingbirds show the opposite pattern with longer-billed species showing greater specialization in foraging (Maglianesi et al. 2014). The basis for this apparent difference between insects and birds in the relation between mouthpart length and foraging specialization is uncertain. One possibility is that hummingbirds develop better mental maps about the location of plants and are therefore able to focus almost exclusively on long-tubed (and more rewarding) species via targeted “traplining”. Longer-billed hummingbirds are often local residents, while long proboscid hawkmoths often travel great distance and have to feed opportunistically.

Community Level Specialization

At the community level, our results indicate that hawkmoths are as generalized as hummingbirds and bees in terms of the mean number of plants used for foraging, and even less specialized than bees in terms of ecological specialization (<d'>), a measure of discrimination among available plant species. This confirms the findings of earlier studies (Haber & Frankie 1989; Martins & Johnson 2013) that indicate that long proboscid hawkmoths are polyphagous and visit a wide range of plant species. However, recent analyses of hawkmoth-plant interactions in Argentina and Brazil from a network perspective found that long-proboscid hawkmoths do tend to interact more frequently with plants which have floral tubes that are similar in length to their proboscis (see Sazartonil et al. 2016). Very similar results were obtained for the Costa Rica network included in this study (Fig S3). Therefore morphological fit between hawkmoths and flowers does appear to be important for structuring interactions at the community level, even beyond that expected from trait mismatch constraints (Vizentin-Bugoni, Maruyama & Sazima 2014). The most likely reason why long-proboscid hawkmoths tend to show a higher frequency of interactions with longer-tubed species than expected by chance is because they learn to associate floral signals of these species with greater rewards (Balkenius, Kelber & Balkenius 2004; Riffell et al. 2008; Kaczorowski et al. 2012).

Our data suggest that visitation networks (those based on direct observations) may underestimate the number of interactions involving hawkmoths (Table S3). This is a key difference to other networks in which estimates based on pollen loads usually indicate more specialised interactions than those based on directly observed visitation, something that is usually attributed to flower visitors picking up pollen from only a portion of the species visited (Alarcon 2010; Popic, Wardle & Davila 2013). The reverse pattern for hawkmoths is all the more remarkable given that the number of pollen types was generally greater for the longer proboscid hawkmoth species. Given that pollen may not be picked up from all short-tubed flowers visited by these moths, the ecological generalization (in the sense of investigating different species) of longer proboscid hawkmoths may be even greater than suggested by our results. What is certain is that many flower visiting interactions between hawkmoths and plants are unlikely to be observed directly, particularly if they take place in a forest canopy, and that pollen analysis is a key tool for uncovering these interactions. The biggest drawback to pollen analysis is that it is usually difficult to distinguish among the pollen grains of congeneric species. We faced this problem for the analysis of visitors to two species of Cactaceae in Costa Rica and ultimately had to treat these two species as one example of “Cactaceae” for the community network analysis. Although Old World networks appear more specialised than New World ones, networks in the two regions were sometimes sampled using different methods (mainly direct observations in the Old World, apart from Madagascar where pollen analysis was mainly used, and mainly pollen analysis in the New World). Therefore, more work is needed to confirm whether regional effects on network structure are real or an artefact of methodology.

Although hawkmoths are clearly polyphagous insects, plants clearly adapt to the proboscis length of specific species or guilds of species (Nilsson 1988; Alexandersson & Johnson 2002; Anderson, Alexandersson & Johnson 2010). These guilds are evident as modes in the distributions of proboscis and tube lengths in different regions (Fig 3). The next step in the analysis of hawkmoth plant-networks will be to investigate whether these guilds correspond to particular modules that exist within these networks (Olesen et al. 2007). Such modules may reflect the occurrence of functional niche specialization within hawkmoth-plant networks and perhaps even units of ongoing coevolution.

The results of the present study suggest that proboscis length will emerge as a key determinant of module formation within hawkmoth-plant networks. However, there are other potential niche dimensions that were not considered in this study, such as the confinement of certain hawkmoths to either open or closed canopy environments (Johnson & Raguso 2016). Even proboscis width (and its match with nectar tube width) has also been shown to provide a dimension of ecological filtration in terms of pollen export and placement (Moré, Sérsic & Cocucci 2007) as well as successful nectar extraction (Coombs & Peter 2010). Scent chemistry is also likely play a role in selective attraction of particular hawkmoths to flowers (Riffell et al. 2013), although the generalist exploratory behaviour of hawkmoths would suggest that they have less olfactory specialization than do many other insects, such as oligolectic bees.

In closing, our study has identified a number of critical gaps in our knowledge of hawkmoth-flower interactions. These gaps include 1) a shortage of studies on hawkmoth interactions with short and medium tube length flowers in Madagascar, 2) an almost complete lack of community level studies of hawkmoth pollination in Asia and Australia, 3) a paucity of data on plants pollinated by hawkmoths with the longest proboscides in South America, and 4) a general shortage of direct or video observations to complement indirect records of hawkmoth-plant interactions by means of pollen analyses. A more complete picture of the interactions between hawkmoths and plants globally will give us greater insights into the ecological inter-dependency of these organisms. Given the rate at which natural habitats in places such as Madagascar and the neotropics are disappearing, and the already perilous status of some mutualisms between hawkmoths and plants (cf. Suzán, Nabhan & Patten 1994; Gemmill et al. 1998; Johnson et al. 2004), this baseline information should be gathered as soon as possible and may prove vital for identifying ecological linkages that are required for the preservation of biodiversity.

Supplementary Material

Supp Table S2

Table S1. A revision of Grant's (1983) survey of hawkmoth-adapted plants in North America. Table S2. A hawkmoth-plant network from tropical dry forest in Guanacaste, Costa Rica. Table S3. Comparison of the visitation, pollen and combined networks from Guanacaste, Costa Rica. Table S4. Details of the bee only networks used for comparative purposes in this study. Table S5. Results of Hartigans' diptest for multimodality and AICc values for finite mixture models. Table S6. Generalized linear models that analyse potential predictors of the number of hawkmoth species, proportion of long-proboscid hawkmoth species and nectar sugar content of flowers. Figure S1. The relationships between hawkmoth proboscis length and number of known nectar host plants in six communities. Figure S2. The relationships between floral tube length and nectar sugar content for plant species in various regions of the Old and New World. Figure S3. Parameter simulations for the Costa Rica network.

Supp info

Acknowledgments

We thank Matthias Schleuning, Aimé Rubini Pisano and Santiago Benitez-Vieyra for providing data; Marlies Sazima and Paulo E. Oliveira for providing the data of the Brazilian communities. Jochen Frund and Pietro K. Maruyama for advice on calculation of specialisation indices and Federico Sazatornil for helping with trait mismatch simulations of Costa Rica community. S. D. J. acknowledges funding from the South African Research Chair funding programme. F.W.A. acknowledges the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, Process Number 2012/09812-5), and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Process Number 484469/2013-4). M.M. and A.A.C. acknowledge the assistance of the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) and the Universidad Nacional de Córdoba, both of which support the research facilities. Robert Raguso was supported by an NIH Training Program in Insect Science grant (T32 AI07475) through the Center for Insect Science, along with NSF grants BIR-9602246 (Research Training Group in Biological Diversification) and DEB-9806840 (to Lucinda McDade) through the University of Arizona, and gratefully acknowledges permission to work at the Arizona-Sonora Desert Museum.

Footnotes

Data accessibility: All data used in this manuscript are present in the manuscript and its supporting information.

Supporting Information: Additional supporting information may be found in the online version of this article.

Please note: Wiley Blackwell are not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing material) should be directed to the corresponding author for the article.

References

  • Ackerman JD. Euglossine bees and their nectar hosts. In: D'Arcy WG, Correa MD, editors. The Botany and Natural History of Panama. Missouri Botanical Garden, St. Louis: 1985. pp. 225–233.
  • Agosta SJ, Janzen DH. Body size distributions of large Costa Rican dry forest moths and the underlying relationship between plant and pollinator morphology. Oikos. 2005;108:183–193.
  • Alarcón R. Congruence between visitation and pollen-transport networks in a California plant-pollinator community. Oikos. 2010;119:35–44.
  • Alarcón R, Davidowitz G, Bronstein JL. Nectar usage in a southern Arizona hawkmoth community. Ecological Entomology. 2008;33:503–509.
  • Alexandersson R, Johnson SD. Pollinator mediated selection on flower-tube length in a hawkmoth-pollinated Gladiolus (Iridaceae) Proceedings of the Royal Society B. 2002;269:631–636. [PMC free article] [PubMed]
  • Amorim FW, de Avila RS, de Camargo AJA, Vieira AL, Oliveira PE. A hawkmoth crossroads? Species richness, seasonality and biogeographical affinities of Sphingidae in a Brazilian Cerrado. Journal of Biogeography. 2009;36:662–674.
  • Amorim FW, Wyatt GE, Sazima M. Low abundance of long-tongued pollinators leads to pollen limitation in four specialized hawkmoth-pollinated plants in the Atlantic Rain forest, Brazil. Naturwissenschaften. 2014;101:893–905. [PubMed]
  • Anderson B, Alexandersson R, Johnson SD. Evolution and coexistence of pollination ecotypes in an African Gladiolus (Iridaceae) Evolution. 2010;64:960–972. [PubMed]
  • Anderson B, Johnson SD. The geographical mosaic of coevolution in a plant-pollinator mutualism. Evolution. 2008;62:220–225. [PubMed]
  • Arditti J, Elliott J, Kitching IJ, Wasserthal LT. ‘Good Heavens what insect can suck it’- Charles Darwin, Angraecum sesquipedale and Xanthopan morganii praedicta. Botanical Journal of the Linnean Society. 2012;169:403–432.
  • Armstrong JA. Biotic pollination mechanisms in the Australian flora - a review. New Zealand Journal of Botany. 1979;17:467–508.
  • Balkenius A, Kelber A, Balkenius C. A model of selection between stimulus and place strategy in a hawkmoth. Adaptive Behavior. 2004;12:21–35.
  • Baum DA. The comparative pollination and floral biology of baobabs (Adansonia Bombacaceae) Annals of the Missouri Botanical Garden. 1995;82:322–348.
  • Beck J, Kitching IJ, Eduard Linsenmair K. Wallace's line revisited: has vicariance or dispersal shaped the distribution of Malesian hawkmoths (Lepidoptera : Sphingidae)? Biological Journal of the Linnean Society. 2006;89:455–468.
  • Beck J, Linsenmair KE. Feasibility of light-trapping in community research on moths: Attraction radius of light, completeness of samples, nightly flight times and seasonality of Southeast-Asian hawkmoths (Lepidoptera: Sphingidae) Journal of Research on the Lepidoptera. 2006;39:18–37.
  • Blüthgen N, Menzel F, Blüthgen N. Measuring specialization in species interaction networks. Bmc Ecology. 2006;6 [PMC free article] [PubMed]
  • Borrell BJ. Long tongues and loose niches: Evolution of euglossine bees and their nectar flowers. Biotropica. 2005;37:664–669.
  • Burnham KP, Anderson DR. Multimodel inference - understanding AIC and BIC in model selection. Sociological Methods & Research. 2004;33:261–304.
  • Butler L, Kondo V, Barrows EM, Townsend EC. Effects of weather conditions and trap types on sampling for richness and abundance of forest Lepidoptera. Environmental Entomology. 1999;28:795–811.
  • Chase JM, Leibold MA. Ecological niches: linking classical and contemporary approaches. The University of Chicago Press; Chicago: 2003.
  • Coombs G, Peter CI. The invasive ‘mothcatcher’ (Araujia sericifera Brot.; Asclepiadoideae) co-opts native honeybees as its primary pollinator in South Africa. AoB plants. 2010;2010:plq021–plq021. [PMC free article] [PubMed]
  • Cruden RW, Hermann SM. Studying nectar? some observations on the art. In: Bentley B, Elias TS, editors. The Biology of Nectaries. Columbia University Press; New York: 1983. pp. 223–242.
  • Darwin CR. On the Various Contrivances By which British and Foreign Orchids Are Fertilized by Insects. John Murray; London: 1862.
  • Devictor V, Clavel J, Julliard R, Lavergne S, Mouillot D, Thuiller W, Venail P, Villeger S, Mouquet N. Defining and measuring ecological specialization. Journal of Applied Ecology. 2010;47:15–25.
  • Devy MS, Davidar P. Pollination systems of trees in Kakachi, a mid-elevation wet evergreen forest in Western Ghats, India. American Journal of Botany. 2003;90:650–657. [PubMed]
  • Devy MS, Davidar P. Breeding systems and pollination modes of understorey shrubs in a medium elevation wet evergreen forest, southern Western Ghats, India. Current Science. 2006;90:838–842.
  • Dormann CF. How to be a specialist? Quantifying specialisation in pollination networks. Network Biology. 2011;1:1–20.
  • Dormann CF, Fruend J, Bluethgen N, Gruber B. Indices, graphs and null models: analyzing bipartite ecological networks. The Open Ecology Journal. 2009;2:7–24.
  • Dormann CF, Gruber B, Fruend J. Introducing the bipartite Package: Analysing Ecological Networks. R news. 2008;8:8–11.
  • Fenster CB, Armbruster WS, Wilson P, Dudash MR, Thomson JD. Pollination syndromes and floral specialization. Annual Review of Ecology Evolution and Systematics. 2004;35:375–403.
  • Gemmill CEC, Ranker TA, Ragone D, Perlman SP, Wood KR. Conservation genetics of the endangered endemic Hawaiian genus Brighamia (Campanulaceae) American Journal of Botany. 1998;85:528–539. [PubMed]
  • Gowell CP, Quinn TP, Taylor EB. Coexistence and origin of trophic ecotypes of pygmy whitefish, Prosopium coulterii, in a south-western Alaskan lake. Journal of Evolutionary Biology. 2012;25:2432–2448. [PubMed]
  • Grant BR, Grant PR. Niche shifts and competition in Darwin's finches: Geospiza conirostris and congeners. 1982:637–657. Evolution,
  • Grant V. The systematic and geographical distribution of hawkmoth flowers in the temperate North American flora. Botanical Gazette. 1983;144:439–449.
  • Haber WA, Frankie GW. A tropical hawkmoth community: Costa Rican dry forest Sphingidae. Biotropica. 1989;21:155–172.
  • Hammer Ø, Harper DAT, Ryan PD. PAST: Paleontological Statistics Software Package for Education and Data Analysis. Palaeontologia Electronica. 2001;4:9.
  • Hansman DJ. Floral biology of dry rainforest in north Queensland and a comparison with adjacent savanna woodland. Australian Journal of Botany. 2001;49:137–153.
  • Harder LD. Morphology as a predictor of flower choice by bumble bees. Ecology. 1985;66:198–210.
  • Hartigan JA, Hartigan PM. The dip test of unimodality. Annals of Statistics. 1985;13:70–84.
  • Hirota SK, Nitta K, Kim Y, Kato A, Kawakubo N, Yasumoto AA, Yahara T. Relative role of flower color and scent on pollinator attraction: experimental tests using F1 and F2 hybrids of daylily and nightlily. Plos One. 2012;7:e39010. [PMC free article] [PubMed]
  • Hirota SK, Nitta K, Suyama Y, Kawakubo N, Yasumoto AA, Yahara T. Pollinator-Mediated Selection on Flower Color, Flower Scent and Flower Morphology of Hemerocallis: Evidence from Genotyping Individual Pollen Grains On the Stigma. Plos One. 2013;8 [PMC free article] [PubMed]
  • Hopper SD. Pollination of the rain-forest tree Syzygium tierneyanum (Myrtaceae) at Kuranda, Northern Queensland. Australian Journal of Botany. 1980;28:223–237.
  • Howell G, Prakash N. Embryology and reproductive ecology of the Darling Lily, Crinum flaccidum Herbert. Australian Journal of Botany. 1990;38:433–444.
  • Inoue K. Different effects of sphingid and noctuid moths on the fecundity of Platanthera metabifolia (Orchidaceae) in Hokkaido. Ecological Research. 1986;1:25–36.
  • Johnson SD. The pollination niche and its role in the diversification and maintenance of the southern African flora. Philosophical Transactions of the Royal Society B-Biological Sciences. 2010;365:499–516. [PMC free article] [PubMed]
  • Johnson SD, Neal PR, Peter CI, Edwards TJ. Fruiting failure and limited recruitment in remnant populations of the hawkmoth-pollinated tree Oxyanthus pyriformis subsp pyriformis (Rubiaceae) Biological Conservation. 2004;120:31–39.
  • Johnson SD, Raguso R. The long-tongued hawkmoth pollinator niche for native and invasive plants in Africa. Annals of Botany. 2016;117:25–36. [PMC free article] [PubMed]
  • Kaczorowski RL, Seliger AR, Gaskett AC, Wigsten SK, Raguso RA. Corolla shape vs. size in flower choice by a nocturnal hawkmoth pollinator. Functional Ecology. 2012;26:577–587.
  • Kawahara AY, Mignault AA, Regier JC, Kitching IJ, Mitter C. Phylogeny and Biogeography of Hawkmoths (Lepidoptera: Sphingidae): Evidence from Five Nuclear Genes. Plos One. 2009;4 [PMC free article] [PubMed]
  • Kay KM, Schemske DW. Geographic patterns in plant-pollinator mutualistic networks: comment. Ecology. 2004;85:875–878.
  • Kearns CA, Inouye DW. Techniques for Pollination Biologists. University Press of Colorado; Niwot, Colorado: 1993.
  • Kislev ME, Kraviz Z, Lorch J. A study of hawkmoth pollination by a palynological analysis of the proboscis. Israel Journal of Botany. 1972;21:57–75.
  • Kitching IJ. The phylogenetic relationships of Morgan's Sphinx, Xanthopan morganii (Walker), the tribe Acherontiini, and allied long- tongued hawkmoths (Lepidoptera : Sphingidae, Sphinginae) Zoological Journal of the Linnean Society. 2002;135:471–527.
  • Kitching IJ. [22 April 2015];Sphingidae Taxonomic Inventory. 2015 http://sphingidae.myspecies.info/
  • Kitching IJ, Cadiou JM. Hawkmoths of the World An Annotated and Illustrated Revisionary Checklist (Lepidoptera: Sphingidae) Cornell University Press; New York: 2000.
  • Losos JB. Adaptive Radiation, Ecological Opportunity, and Evolutionary Determinism. American Naturalist. 2010;175:623–639. [PubMed]
  • Losos JB, Mahler DL. Adaptive Radiation: The Interaction of Ecological Opportunity, Adaptation, and Speciation. In: Bell MA, Futuyma DJ, Eanes WF, Levinton JS, editors. Evolution Since Darwin: The First 150 Years. Sinauer Assoc; Sunderland, MA: 2010. pp. 381–420.
  • Maechler M, Ringach D. Diptest: Hartigan's dip test statistic for unimodality-corrected code. 2015 R package version 0.75-7. http://CRAN.R-project.org/package=diptest/
  • Maglianesi AM, Bluethgen N, Boehning-Gaese K, Schleuning M. Morphological traits determine specialization and resource use in plant-hummingbird networks in the neotropics. Ecology. 2014;95:3325–3334.
  • Markgraf V, D'Antoni HL. Pollen flora of Argentina Modern spore and pollen types of Pteridophyta, Gymnospermae, and Angiospermae. Univ. Arizona Press; Tucson, Arizona: 1978.
  • Martins DJ, Johnson SD. Interactions between hawkmoths and flowering plants in East Africa: polyphagy and evolutionary specialization in an ecological context. Biological Journal of the Linnean Society. 2013;110:199–213.
  • Miller WE. Diversity and evolution of tongue length in hawkmoths (Sphingidae) Journal of the Lepidopterists' Society. 1997;51:9–31.
  • Miyake T, Yahara T. Why does the flower of Lonicera japonica open at dusk? Canadian Journal of Botany. 1998;76:1806–1811.
  • Momose K, Yumoto T, Nagamitsu T, Kato M, Nagamasu H, Sakai S, Harrison RD, Itioka T, Hamid AA, Inoue T. Pollination biology in a lowland dipterocarp forest in Sarawak, Malaysia. I. Characteristics of the plant-pollinator community in a lowland dipterocarp forest. American Journal of Botany. 1998;85:1477–1501. [PubMed]
  • Moré M. Doctoral Dissertation. Universidad Nacional de Córdoba; 2008. Estudios sobre esfingofilia en plantas con longitudes florales extremas de Argentina Subtropical.
  • Moré M, Amorim FW, Benitez-Vieyra S, Martin Medina A, Sazima M, Cocucci AA. Armament Imbalances: Match and Mismatch in Plant-Pollinator Traits of Highly Specialized Long-Spurred Orchids. Plos One. 2012;7 [PMC free article] [PubMed]
  • Moré M, Kitching IJ, Cocucci AA. Sphingidae: Esfíngidos de Argentina Hawkmoths of Argentina. 1. L.O.L.A. (Literature of Latin America); Buenos Aires: 2005.
  • Moré M, Sérsic AN, Cocucci AA. Restriction of pollinator assemblage through flower length and width in three long-tongued hawkmoth-pollinated species of Mandevilla (Apocynaceae, Apocynoideae) Annals of the Missouri Botanical Garden. 2007;94:485–504.
  • Müller H. Probosces capable of sucking the nectar of Angraecum sesquipedale. Nature. 1873;8:223.
  • Nilsson LA. The evolution of flowers with deep corolla tubes. Nature. 1988;334:147–149.
  • Nilsson LA. Deep flowers for long tongues. Trends in Ecology & Evolution. 1998;13:259–260. [PubMed]
  • Nilsson LA, Jonsson L, Rason L, Randrianjohany E. Monophily and pollination in Angaecum arachnites Schlrt. (Orchidaceae) in a guild of long-tongued hawk-moths (Sphingidae) in Madagascar. Biological Journal of the Linnean Society. 1985;26:1–19.
  • Nilsson LA, Jonsson L, Rolison L, Randrianjohany E. Angraecoid orchids and hawkmoths in central Madagascar: specialized pollination systems and generalist foragers. Biotropica. 1987;19:310–318.
  • Nilsson LA, Rabakonandrianina E, Razananaivo R, Randriamanindry JJ. Long pollinia on eyes: hawk-moth pollination of Cynorkis uniflora Lindley (Orchidaceae) in Madagascar. Botanical Journal of the Linnean Society. 1992;109:145–160.
  • O'Brien DM. Fuel use in flight and its dependence on nectar feeding in the hawkmoth Amphion floridensis. The Journal of Experimental Biology. 1999;202:441–451. [PubMed]
  • Olesen JM, Bascompte J, Dupont YL, Jordano P. The modularity of pollination networks. Proceedings of the National Academy of Sciences of the United States of America. 2007;104:19891–19896. [PubMed]
  • Pauw A, Stofberg J, Waterman RJ. Flies and flowers in Darwin's race. Evolution. 2009;63:268–279. [PubMed]
  • Popic TJ, Wardle GM, Davila YC. Flower-visitor networks only partially predict the function of pollen transport by bees. Austral Ecology. 2013;38:76–86.
  • R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing; Vienna, Austria: 2014. URL http://www.R-project.org.
  • Riffell JA, Alarcon R, Abrell L, Davidowitz G, Bronstein JL, Hildebrand JG. Behavioral consequences of innate preferences and olfactory learning in hawkmoth-flower interactions. Proceedings of the National Academy of Sciences of the United States of America. 2008;105:3404–3409. [PubMed]
  • Riffell JA, Lei H, Abrell L, Hildebrand JG. Neural Basis of a Pollinator's Buffet: Olfactory Specialization and Learning in Manduca sexta. Science. 2013;339:200–204. [PubMed]
  • Robertson IAD. Records of insects taken at light traps in Tanzania. 1977:1–14.
  • Rodriguez-Girones MA, Llandres AL. Resource Competition Triggers the Co-Evolution of Long Tongues and Deep Corolla Tubes. Plos One. 2008;3 [PMC free article] [PubMed]
  • Rougerie R, Kitching IJ, Haxaire J, Miller SE, Hausmann A, Hebert PD. Australian Sphingidae–DNA barcodes challenge current species boundaries and distributions. Plos One. 2014;9:e101108. [PMC free article] [PubMed]
  • Sazatornil F, Moré M, Benitez-Vieyra S, Kitching I, Schlumpberger B, Oliveira P, Sazima M, Cocucci AA, Amorim FW. Beyond neutral and forbidden links: morphological matches and the assembly of mutualistic hawkmoth–plant networks. Journal of Animal Ecology. 2016 in press. [PubMed]
  • Schleuning M, Fruend J, Klein AM, Abrahamczyk S, Alarcon R, Albrecht M, Andersson GKS, Bazarian S, Boehning-Gaese K, Bommarco R, Dalsgaard B, Dehling DM, Gotlieb A, Hagen M, Hickler T, Holzschuh A, Kaiser-Bunbury CN, Kreft H, Morris RJ, Sandel B, Sutherland WJ, Svenning JC, Tscharntke T, Watts S, Weiner CN, Werner M, Williams NM, Winqvist C, Dormann CF, Bluethgen N. Specialization of Mutualistic Interaction Networks Decreases toward Tropical Latitudes. Current Biology. 2012;22:1925–1931. [PubMed]
  • Schluter D. The ecology of adaptive radiation. Oxford University Press; Oxford; 2000.
  • Schreiber H. Dispersal Centres of Sphingidae (Lepidoptera) in the Neotropical Region. Biogeographica. 1978;10:1–195.
  • Schulze CH, Hauser CL, Maryati M. A checklist of the hawkmoths (Lepidoptera: Sphingidae) of Kinabalu Park, Sabah, Borneo. Malayan Nature Journal. 2000;54:1–20.
  • Silberbauer-Gottsberger IS, Gottsberger G. Über sphingophile Angiospermen Brasiliens. Plant Systematics and Evolution. 1975;123:157–184.
  • Silvertown J. Plant coexistence and the niche. Trends in Ecology & Evolution. 2004;19:605–611.
  • Suzán H, Nabhan GP, Patten DT. Nurse plant and floral biology of a rare night-blooming cereus, Peniocereus striatus (Brandegee) F. Buxbaum. Conservation Biology. 1994;8:461–470.
  • Toju H. Fine-scale local adaptation of weevil mouthpart length and camellia pericarp thickness: Altitudinal gradient of a putative arms race. Evolution. 2008;62:1086–1102. [PubMed]
  • Vázquez DP, Aizen MA. Asymmetric specialization: A pervasive feature of plant-pollinator interactions. Ecology. 2004;85:1251–1257.
  • Vizentin-Bugoni J, Maruyama PK, Sazima M. Processes entangling interactions in communities: forbidden links are more important than abundance in a hummingbird-plant network. Proceedings of the Royal Society B-Biological Sciences. 2014;281 [PMC free article] [PubMed]
  • Wasserthal LT. The pollinators of the Malagasy star orchids Angraecum sesquipedale, A. sororium and A. compactum and the evolution of extremely long spurs by pollinator shift. Botanica Acta. 1997;110:343–359.
  • Whittall JB, Hodges SA. Pollinator shifts drive increasingly long nectar spurs in columbine flowers. Nature. 2007;447:706–709. [PubMed]
  • Williams G, Adam P. A review of rainforest pollination and plant-pollinator interactions with particular reference to Australian subtropical rainforests. Australian Zoologist. 1994;29:177–212.
  • Xu L, Bedrick EJ, Hanson T, Restrepo C. A comparison of statistical tools for identifying modality in body mass distributions. Journal of Data Science. 2014;12:175–196.