Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Fire Promotes Pollinator Visitation: Implications for Ameliorating Declines of Pollination Services

  • Michael E. Van Nuland ,

    mvannula@utk.edu

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • Elliot N. Haag,

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • Jessica A. M. Bryant,

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • Quentin D. Read,

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • Robert N. Klein,

    Affiliation 2 Great Smoky Mountains National Park, Gatlinburg, Tennessee, United States of America

  • Morgan J. Douglas,

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • Courtney E. Gorman,

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • Trey D. Greenwell,

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • Mark W. Busby,

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • Jonathan Collins,

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • Joseph T. LeRoy,

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • George Schuchmann,

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • Jennifer A. Schweitzer,

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

  • Joseph K. Bailey

    Affiliation Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

Abstract

Pollinators serve critical roles for the functioning of terrestrial ecosystems, and have an estimated annual value of over $150 billion for global agriculture. Mounting evidence from agricultural systems reveals that pollinators are declining in many regions of the world, and with a lack of information on whether pollinator communities in natural systems are following similar trends, identifying factors which support pollinator visitation and services are important for ameliorating the effects of the current global pollinator crisis. We investigated how fire affects resource structure and how that variation influences floral pollinator communities by comparing burn versus control treatments in a southeastern USA old-field system. We hypothesized and found a positive relationship between fire and plant density of a native forb, Verbesina alternifolia, as well as a significant difference in floral visitation of V. alternifolia between burn and control treatments. V. alternifolia density was 44% greater and floral visitation was 54% greater in burned treatments relative to control sites. When the density of V. alternifolia was experimentally reduced in the burn sites to equivalent densities observed in control sites, floral visitation in burned sites declined to rates found in control sites. Our results indicate that plant density is a proximal mechanism by which an imposed fire regime can indirectly impact floral visitation, suggesting its usefulness as a tool for management of pollination services. Although concerns surround the negative impacts of management, indirect positive effects may provide an important direction to explore for managing future ecological and conservation issues. Studies examining the interaction among resource concentration, plant apparency, and how fire affects the evolutionary consequences of altered patterns of floral visitation are overdue.

Introduction

The conservation and management of biodiversity is increasingly important to maintain vital ecosystem services [1], and anthropogenic changes to ecosystems continue to increase the risk of species extinctions across the planet [2,3]. Pollinators are one group of species that perform critical roles for the functioning of terrestrial ecosystems, provide important ecosystem services for natural plant communities, and influence global food security through agricultural products [4-9]. Specifically, more than 90% of angiosperms are dependent on animal pollination [10], and the economic value of pollination services for global agriculture is valued between $150 [8] and $200 billion [11]. Mounting evidence from agricultural ecosystems reveals significant honeybee (Apis mellifera) declines in many regions of the globe [12] and policies are addressing this issue in countries around the world. For example, domestic honeybee have been reduced by two thirds from 1947 to 2005 in the US [13], and declines of bumblebees (Bombus spp.) have been recorded across Europe [6,14,15], stimulating policy to reduce the use of specific neonicotinoid pesticides. Drivers of global pollinator declines are thought to include land-use changes (e.g. habitat loss, fragmentation, degradation, and pesticide usage), invasive species introductions and disease, climate change, as well as synergistic effects of multiples of these factors [9], yet it remains relatively unknown whether natural ecosystems are undergoing similar pollinator declines as in agricultural settings. Therefore, identifying factors that support or enhance floral visitation and pollination services is critical for ameliorating the effects of current global declines of pollinators.

Maintaining sustainable pollination services requires an understanding of factors that influence pollinator visitation. Although relatively few studies have examined how pollinator communities are structured [16], such factors generally include abiotic and biotic environmental variation [17,18], suitability of and proximity to nesting habitats [19], and quantity and quality of forage resources (e.g. pollen and nectar) [20,21]. For example, the frequency of pollinator visitation in Ugandan coffee crops was most strongly correlated with forest distance, light intensity, and time of day [22], and interactions between temperature and pollen availability have been shown to influence pollinator visitation and subsequent plant fitness [23]. The genetic environment can also be important for determining pollinator visitation. For instance, Genung et al. (2010) found that as genetic diversity increased in patches of Solidago altissima, floral phenology shifted and floral abundance increased [24]. Furthermore, increases in floral resources had a strong positive effect on floral visitors. While the density of plants was similar from monoculture plots to mixture plots, the density of floral resources changed along this genetic gradient suggesting that plant density might be an important factor affecting floral visitation. Because variation in floral resources has important effects on broad patterns of floral visitation [25,26], identifying the factors that drive variation in those resources becomes important.

In various fire-dependent communities, fire regimes have been shown to maintain or increase plant diversity [2731], potentially affecting and increasing ecosystem services, typically by reducing vegetation, leaf litter cover, and woody encroachment that often promotes rare species establishment [32]. Components of fire regimes (e.g. fire frequency, severity, and intensity) can alter biotic and abiotic soil properties [33], as well as aboveground plant community structure and dynamics [29,34-36]. One study, which utilized two decades of low-severity prescribed burn treatments in a Midwestern oak forest (Quercus spp.), found that burned plots had greater pH and conductivity belowground, and greater canopy openness and herbaceous richness aboveground than unburned plots [37]. Moreover, old-field ecosystems contain plant communities that are largely structured by disturbances such as fire [38]. For example, McGinley and Tilman (1993) revealed that densities of old-field plant species were differentially affected by burn treatments and fire, but not other disturbances (i.e. tilling), which increased the density of Euphorbia glyptosperma [39]. Plant species in fire-dependent southeastern U.S. longleaf pine ecosystems have also shown increased flowering, fecundity, and seedling establishment in response to fire [31]. As a result, variation of post-fire plant communities might alter floral distributions and their resources (e.g. pollen and nectar), impacting pollinators and associated pollination ecosystem services.

The response of pollinator communities to floral resource density is complex, but can have important implications for plant fitness [40]. In general, there appears to be consensus regarding a positive relationship among floral resources and pollinator communities and activity [41]. For example, increasing floral density has consistently been correlated with greater pollinator diversity and abundance [16,26,42-44]. The resource concentration hypothesis may explain this phenomenon, as herbivore communities experience a positive response to plant densities [45]. Utilizing an old-field ecosystem in the southeastern U.S., we examined how fire as a common management practice might have indirect consequences for pollinator visitation by altering plant communities. We hypothesized that by changing plant resource levels, fire will affect pollinator visitation. This study was composed of distinct observational and experimental components to specifically test the prediction that the overall mechanism of fire regime will increase V. alternifolia density, and that increased V. alternifolia density is a proximal mechanism leading to an increase in pollinator visitation. Using this combined experimental approach, we show that altering plant density is the proximal mechanism by which an imposed fire regime can indirectly promote pollinator visitation.

Methods

Verbesina alternifolia L. (Asteraceae) is a dominant species and abundant resource for pollinators in managed and unmanaged old-field ecosystems throughout the southeastern United States. This species is ideal to test the direct and indirect effects of fire on plant density patterns (direct) and pollinator communities (indirect) as its range stretches from Texas to Ontario, Canada [46] and can occur in areas where fire is used as a management tool to support native plant recruitment [47]. V. alternifolia is a perennial forb species with a composite inflorescence and is observed to interact with a range of flower-visiting arthropods, including Hymenoptera, Lepidoptera, Coleoptera, and Hemiptera species. Specifically, V. alternifolia has shown greater seed germination with heat exposure compared to co-occurring native species [48], indicating that prescribed fire may influence patterns of abundance in this species. Since V. alternifolia interacts with a variety of flower-visiting arthropods, changes in plant abundance could have consequences for the distribution of floral resources and indirectly affect pollinator communities.

Observational Study

In September of 2012, an observational survey was conducted in three paired old-field sites to understand how fire may directly influence plant density and, indirectly, influence floral communities. Sites with fire treatments were located in Cades Cove, Great Smoky Mountains National Park, Tennessee. The sites were approximately 0.2 to 0.4 hectares in size, geographically separated by 1.5 km and located where low-intensity, stand replacement controlled burn treatments were applied during the dormant season in 2009, 2010, or 2011 (henceforth, “burn”), with a paired non-burned area (henceforth, “control”). Two of the three burn sites have experienced previous fires in 2001 and 2002, respectively, one of which being a controlled burn and one a wildfire with similar stand replacement characteristics to the prescribed treatments. Inferring fire intensity by the response of vegetation, stand replacement fire regimes for old-field ecosystems are considered low-intensity since the majority of pre-existing vegetation responds quickly and impacts on the soil are minimal and transient. Long-term site disturbance histories are unknown (Great Smoky Mountains National Park, Rob Klein, personal communication). Information regarding and permission to access each study location was provided by Rob Klein (fire ecologist, Great Smoky Mountains National Park). No endangered or protected species were sampled in this study. Within each burn and control treatment, we established three randomly selected 1 m2 plots, spaced at least 3.5 m apart, to measure V. alternifolia density and pollinator visitation. At both burn and control sites, infrequent and reduced pollinator visitation to solitary V. alternifolia inflorescences was observed. As such, all sampled plots contained mature V. alternifolia plants (~1.5 m in height) having an adequate number of inflorescences to allow for pollinator visitation (i.e. > 2 flowers; MVN personal observations). Heterospecific plants were excavated and removed from plots to eliminate the potential effect of species interactions on pollinator visitation, and the density of V. alternifolia was recorded (number of stems m-2). Previous studies have quantified flower density as a metric of floral resource [26,40], and similarly we refer to the density of mature V. alternifolia as a floral resource for pollinators in this system. The random arrangement of plots within sites was used to control for the effect of adjacent plot density on pollinator visitation. We established observational plots one week before measuring pollinator visitations in order to standardize the timeframe and environmental conditions across the observational and experimental components of our study (see Experimental Manipulation). Five separate, random plots at the same sites were sampled for total plant richness (number of unique plant species 625 cm-2) in burn and control treatments to determine if there were differences in plant community composition between treatments and if this affected pollinator communities.

We measured floral visitation by known pollinators at all plots within a four hour timespan (1100 to 1500 hours) in 10 randomly selected plots at each burn (n = 30) and control (n = 30) treatment sites. All arthropods visiting any V. alternifolia structure were identified to order and morphospecies in the field, including seven Hymenoptera, six Coleoptera, four Araneae, three Hemiptera, and two Lepidoptera species. The long disk florets of the composite inflorescence typically attract long-tongued bee pollinators and, as such, this study focuses on the dominant flower-visiting arthropods identified as the subset of pollinating arthropods: honeybees (Hymenoptera: Apidae), bumblebees (Hymenoptera: Apidae), and sweat bees (Hymenoptera: Halictidae). Floral visitation by pollinators was measured over three-minute intervals at each plot by a single observer; all observers received equal visitation and identification training prior to measurements. Four independent observers were randomized over plots after every observation period and present over a simultaneous time period recording floral visitation at separate plots in the study. Average weather conditions over the observation period were obtained from the National Park Service weather monitoring database and were recorded as 22° C, 74% relative humidity, 0.12 mm rainfall, 152 watts/m2 solar radiation, and wind at 1.7 m/s from the west. The abundance of pollinator visitations was measured as the total number of individuals that entered the plot and visited a V. alternifolia flower, regardless of how many independent inflorescences the pollinator visited within each plot [49].

Experimental Manipulation

The observational results suggested that fire altered plant density indirectly impacting floral arthropod communities; therefore, we performed an experiment examining the hypothesis that V. alternifolia density was a mechanism by which prescribed burns may indirectly affect pollinator communities. To test this hypothesis, we standardized densities of three additional 1 m-2 plots randomly placed within all burn sites to control for the effect of surrounding vegetation on pollinator visitation. Observed V. alternifolia stem densities within the burn sites were reduced to equivalent densities that were found in control sites (~8 stems m-2) by excavating random individuals from each plot. Pollinator visitation was then measured with the same procedure as in the observation component of the study. To minimize the effects of removal disturbance on pollinator activity, the density manipulation (i.e. plant excavation) was performed one week prior to all pollinator visitation measurements.

Statistical Analyses

To test for the effects of fire on V. alternifolia density and floral pollinator visitation, we used a Restricted Estimated Maximum Likelihood (REML) mixed model. To test whether site influenced the effect of burn or control treatments on plant density or floral communities, we initially analyzed all response variables with site as a random effect; treatment and site × treatment interaction were considered as fixed effects. No significant interaction effect was found; as a result, the interaction term was removed from the model and the effect of fire on V. alternifolia density and floral communities was analyzed with treatment as a fixed factor and site as a random effect using JMP Pro 10 (SAS Institute, Cary, NC, USA). We used a meta-analysis approach to examine the effect of fire by comparing standardized z-scores between burn and control treatments. Although some studies have indicated that fire can affect floral richness with implications for pollinator communities [25,50], we did not find evidence of fire affecting subsequent total plant richness in the plots, nor were pollinators influenced by total plant diversity (Figure S1a-c).

Results

Observational Study

Across all sites, fire positively affected V. alternifolia density and pollinator abundance. V. alternifolia density was 44% greater in burned treatments relative to control plots (Figure 1a; Table 1). Overall, pollinator visitation to V. alternifolia occurred 54% more frequently in burned treatments relative to control sites (Figure 1c; Table 1). Consistent with the hypothesis that fire indirectly impacts floral pollinator visitation by altering the density of V. alternifolia, on average there was a positive relationship between plant density and floral pollinator visitation (Figure 1e; r2 = 0.154, p = 0.018).

thumbnail
Figure 1. Observational and experimental impacts of fire on plant density and floral visitation.

Comparisons from the observation (left panels, A, C, E) and experiment (right panels, B, D, F) show plant density is a mechanism by which fire impacts the abundance of pollinators. Bars represent least square means ± 1 SE.

https://doi.org/10.1371/journal.pone.0079853.g001

Response VariableBurn TreatmentStudy Component
DensityF(1)=528.81; p<0.0001Observational
Pollinator AbundanceF(1)=6.23; p<0.0156Observational
DensityF(1)=0.86; p=0.357Experimental
Pollinator AbundanceF(1)=0.495; p=0.484Experimental

Table 1. Restricted estimated maximum likelihood results (REML) for the effect of fire on Verbesina alternifolia density and pollinator abundance by study component.

There were no significant site x treatment interaction effects so they were removed from the model.
CSV
Download CSV

Experimental Manipulation

Observational results suggest that V. alternifolia density is a mechanism by which fire indirectly impacts pollinators. To test this hypothesis, densities of V. alternifolia in burn sites were successfully reduced to densities observed in control sites (Figure 1b; Table 1). Across all sites, when the density of V. alternifolia was controlled, no significant difference in floral pollinator visitation was observed between burn and control treatments (Figure 1d; Table 1), and no relationship existed between plant density and floral pollinator visitation. V. alternifolia responded 96% more strongly to fire than floral pollinator visitors directly (Figure 2) confirming that fire can indirectly impact patterns of floral pollinator visitation and potentially pollination services by altering V. alternifolia density.

thumbnail
Figure 2. Standardized effects of fire on plant density and pollinator abundance.

(Observation) Plant density and pollinators are positively affected by fire, but the effect diminishes from plants to pollinators. (Experiment) Manipulated and equivalent plant densities between burn and control treatments shows no effect of fire on pollinator abundance. Boxes represent means of standardized z-scores, and values greater than zero indicate a positive effect of fire. Error bars show ± 1 SE and, when non-overlapping with zero, indicate significant differences.

https://doi.org/10.1371/journal.pone.0079853.g002

Pollinator community responses

Floral visitation by individual pollinators was differentially affected by treatments across study components (Figure 3), indicating species-specific responses to fire and subsequent alterations of V. alternifolia density. During the observational study, honeybees showed a marginally significant 32% increase in abundance in burn versus control sites (p = 0.078). Interestingly, with equivalent plant densities during the experimental manipulation, honeybee visitation did not differ between burn and control treatments (p = 0.989), and bumblebees were entirely absent from experimental plots in burn sites. Additionally, sweat bee visitation was not influenced by fire or plant density treatments (observation: p = 0.220, experiment: 0.424).

thumbnail
Figure 3. Fire treatment and study component influence pollinator-specific visitation patterns.

Means of individuals from the three most common pollinators are depicted for both the observational study and experimental manipulation. Note floral pollinator visitation to control plots is identically represented in both studies, and bars depict individual averages over the visitation surveys.

https://doi.org/10.1371/journal.pone.0079853.g003

Discussion

Identifying factors that influence floral visitation and pollinator dynamics may aid efforts to mitigate global pollinator declines and establish sustainable ecosystem services provided by pollinators in a changing world [9]. We hypothesized that an imposed fire regime, as a management tool for plant communities, would have indirect consequences for pollinator communities through altered floral resource patterns. Our study shows that fire, with landscape level disturbance effects, may be a valuable tool for promoting pollination services and we provide evidence that altered plant density is a proximal mechanism by which a fire regime indirectly impacts pollinator visitation. Moreover, species-specific responses by the most prevalent pollinators suggest different groups may be more or less sensitive to the effects of fire on altered floral resource densities. Indirect but positive consequences of management regimes, a relatively unexplored topic, may be an effective and important approach for acting on future ecological and conservation issues.

Fire is a landscape level process that structures plant [51] and insect [52] communities from local to regional scales. Fire has also been shown to influence patterns of herbivory [53,54], trophic interactions [55,56], and overall arthropod community structure [52,53,55]. While plant richness and community composition was largely unaffected, our study found that burning significantly increased the density of V. alternifolia. These results are consistent with many studies that have shown positive species-specific responses to fire. For example, aspen trees (Populus tremuloides) responded positively to fire by increasing densities of ramet resprouts [53]. Specific to old-field ecosystems, previous work has shown plant species are affected by fire differently, and greater post-fire densities may be due to differences in establishment ability [39]. One potential explanation for the positive response of V. alternifolia to fire is a significant increase in seed germination when exposed to heat treatments compared to co-occurring native species, likely an adaptation to naturally occurring fire regimes [48]. In combination with increased availability of mineral nutrients and light immediately following fire [57,58], fire might influence the observed patterns of V. alternifolia density by interacting with this early life history stage, similar to other plant community dynamics following disturbance in old-field ecosystems. In addition to changes in plant density, the effects of fire extended to the pollinator community by increasing floral visitation suggesting that fire may promote pollination services in some systems. Previous studies have documented a similarly positive indirect effect of fire on pollinators [59,60]. For example, bee abundance has been shown to track plant communities following fire. This has largely been explained as a post-fire relationship between pollinators and nectar reward structure (e.g. floral reward energy) [16,25]; however, these studies lack experimental verification of mechanisms. Here we show that shifts in plant density are an important local mechanism that can change with fire and indirectly impact floral visitation.

Fire may serve as an important tool for mitigating pollinator declines by influencing plant communities as predicted under the resource concentration hypothesis. Plant apparency is a common hypothesis invoked to understand patterns of herbivory and floral visitation by arthropods [61,62]. Resource concentration, as a distinct component of plant apparency by operating at a local scale, predicts that larger or denser stands of plants (i.e. concentrated resources) will support greater abundance of herbivores per plant [45,63]. For example, manipulated strawberry patch size and density were shown to increase Lygus lineolaris nymph abundance per inflorescence [64]. The majority of cases investigating the resource concentration hypothesis have focused on specialist herbivore-plant interactions [64]. We extend this framework to pollinator-plant interactions by showing that higher densities within floral patches increased pollinator visitation. While previous studies have indicated that local plant density can influence pollinator dynamics [41], we provide experimental verification of density as a mechanism impacting pollinator abundance. Our study shows that fire, operating indirectly on pollination services through plant apparency and resource concentration, may be effective in ameliorating declines of pollinators and sustaining their ecosystem services in old field ecosystems.

Because fire alters both plant apparency and resource concentration, these factors likely interact to influence pollinator visitation. Though we did not measure it directly in this study, the frequency of high density patches was likely greater in burn sites than in control sites, making floral resources both more apparent within sites to floral visitors and more concentrated at a local scale. The observed species-specific pollinator visitation patterns may be a consequence of this interaction. In our study, bumblebee visitation responded more strongly to altered plant apparency (i.e. no visitation to experimental burn sites containing fewer high density patches of V. alternifolia), whereas honeybee visitation appeared to follow resource concentration (i.e. greater in burn versus control sites during the observational study, but no difference during experimental manipulation). Alternatively, species-specific visitation patterns may be attributed to differences in pollinator behavior and life history. For instance, the prevalence of non-native honeybees is predicted to have deleterious effects on native bee pollinators due to competition [65], while bumblebees are common nectar robbers [66] and sweat bees are often generalist foragers [67]. The prevalence of honeybees in this study, as well as the behavioral traits of the other dominant pollinators, may have played a role in how individual pollinator groups responded to variation in floral resource distributions. To understand how fire regime, plant apparency, and resource concentration interact to influence specific pollinator visitation, future work should manipulate patch number as well as within-patch V. alternifolia density across burned and control management areas while focusing on behavioral differences between dominant pollinator species.

Conclusions and implications

Consistent with the resource concentration hypothesis, our study provides evidence that an imposed fire regime indirectly and positively impacts pollinators by altering plant density. These data suggest that future studies would benefit from examining the interactions among fire, plant apparency, and resource concentration, in addition to the extended consequences of increased floral visitation on plant fitness to understand how fire may influence the evolutionary dynamics of species through plant-pollinator interactions. Lastly, although negative indirect effects of management regimes may occur, indirect positive effects may provide an important management direction for future ecological and conservation issues - especially considering previous studies have observed positive effects of components of fire regimes on pollinators and warrants much more research attention.

Supporting Information

Figure S1.

Fire did not affect, and pollinators were not affected by, plant community richness or composition. (A) Plant richness is not different between burn and control treatments (F = 3.55, p = 0.07, bars represent means ± 1 SE). (B) Plant richness is not correlated with pollinator visitation rates (r2 = 0.060, p = 0.231). (C) Non-metric multidimensional scaling (NMDS) shows no difference in plant community composition between burn and control treatments (ANOSIM, Global R = 0.011, p = 0.336, centroids depict means ± 1 SE).

https://doi.org/10.1371/journal.pone.0079853.s001

(TIF)

Acknowledgments

We thank the University of Tennessee at Knoxville Department of Ecology and Evolutionary Biology for support. Special thanks to the Great Smoky Mountains National Park for historical information and maps and access the field management treatments.

Author Contributions

Conceived and designed the experiments: MVN JKB. Performed the experiments: MVN ENH TDG MWB MJD JC JL GS. Analyzed the data: MVN JKB. Contributed reagents/materials/analysis tools: JAS JKB RNK. Wrote the manuscript: MVN JKB. Edited the manuscript: JKB JAS JAMB QDR CEG RNK.

References

  1. 1. Chapin FS III, Zavaleta ES, Eviner VT, Naylor RL, Vitousek PM et al. (2000) Consequences of changing biodiversity. Nature 405: 234-242. doi:https://doi.org/10.1038/35012241. PubMed: 10821284.
  2. 2. Pimm SL, Russell GJ, Gittleman JL, Brooks TM (1995) The Future of Biodiversity. Science 269: 347-350. doi:https://doi.org/10.1126/science.269.5222.347. PubMed: 17841251.
  3. 3. Barnosky AD, Matzke N, Tomiya S, Wogan GOU, Swartz B et al. (2011) Has the Earth’s sixth mass extinction already arrived? Nature 471: 51-57. doi:https://doi.org/10.1038/nature09678. PubMed: 21368823.
  4. 4. Allen-Wardell G, Bernhardt P, Bitner R, Burquez A, Buchmann S et al. (1998) The potential consequences of pollinator declines on the conservation of biodiversity and stability of food crop yields. Conserv Biol 12: 8-17. doi:https://doi.org/10.1046/j.1523-1739.1998.97154.x.
  5. 5. Kearns CA, Inouye DW, Waser NM (1998) Endangered mutualisms: The conservation of plant-pollinator interactions. Annu Rev Ecol Syst 29: 83-112. doi:https://doi.org/10.1146/annurev.ecolsys.29.1.83.
  6. 6. Goulson D, Lye GC, Darvill B (2008) Decline and conservation of bumble bees. Annu Rev Entomol 53: 191-208. doi:https://doi.org/10.1146/annurev.ento.53.103106.093454. PubMed: 17803456.
  7. 7. Klein AM, Vaissiere BE, Cane JH, Steffan-Dewenter I, Cunningham SA et al. (2007) Importance of crop pollinators in changing landscapes for world crops. Proc R Soc Lond B Biol Sci 274: 303-313. doi:https://doi.org/10.1098/rspb.2006.3721.
  8. 8. Gallai N, Salles JM, Settele J, Vaissiere BE (2009) Economic valuation of the vulnerability of world agriculture confronted with pollinator decline. Ecol Econ 68: 810-821. doi:https://doi.org/10.1016/j.ecolecon.2008.06.014.
  9. 9. Potts SG, Biesmeijer JC, Kremen C, Neumann P, Schweiger O et al. (2010) Global pollinator declines: Trends, impacts and drivers. Trends Ecol Evol 25: 345-353. doi:https://doi.org/10.1016/j.tree.2010.01.007. PubMed: 20188434.
  10. 10. Buchmann SL, Nabhan GP (1996) The forgotten pollinators. Washington DC: Island Press. 274 pp.
  11. 11. Richards KW (1993) Non-Apis bees as crop pollinators. Rev Suisse Zool 100: 807-822.
  12. 12. Winfree R, Aguilar R, Vázquez DP, LeBuhn G, Aizen MA (2009) A meta-analysis of bee’s responses to anthropogenic disturbance. Ecology 90: 2068-2076. doi:https://doi.org/10.1890/08-1245.1. PubMed: 19739369.
  13. 13. van Engelsdorp D, Hayes JJ, Underwood RM, Pettis J (2008) A survey of honey bee colony losses in the U.S., Fall 2007 to Spring 2008. PLOS ONE 3: e4071. doi:https://doi.org/10.1371/journal.pone.0004071. PubMed: 19115015.
  14. 14. Rasmont P, Mersch P (1988) Première estimation de la derive faunique chez les bourdons de la Belgique (Hymenoptera, Apidae). Belg J Zool 118: 141-147.
  15. 15. Rasmont P, Pauly A, Terzo M, Patiny S, Michez D et al. (2005) The Survey of Wild Bees (Hymenoptera, Apoidea) in Belgium and France. Rome: FAO.
  16. 16. Potts SG, Vulliamy B, Dafni A, Ne’eman G, Willmer P (2003) Linking bees and flowers: How do floral communities structure pollinator communities? Ecology 84: 2628-2642. doi:https://doi.org/10.1890/02-0136.
  17. 17. Herrera CM (1995) Microclimate and individual variation in pollinators: Flowering plants are more than their flowers. Ecology 76: 1516-1524. doi:https://doi.org/10.2307/1938153.
  18. 18. Torres-Díaz C, Cavieres LA, Muñoz-Ramírez C, Arroyo MTK (2007) Consecuencias de las variaciones microclimáticas sobre la visita de insectos polinizadores en dos especies de Chaetanthera (Asteraceae) en los Andes de Chile central. Rev Chil Hist Nat 80: 455-468.
  19. 19. Ricketts TH, Regetz J, Steffan-Dewenter I, Cunningham SA, Kremen C et al. (2008) Landscape effects on crop pollination services: Are there general patterns? Ecol Lett 11: 499-515. doi:https://doi.org/10.1111/j.1461-0248.2008.01157.x. PubMed: 18294214.
  20. 20. Price PW (1984) Insect ecology. second edition. New York: John Wiley and Sons.
  21. 21. Kremen C, Williams NM, Aizen MA, Gemmill-Herren B, LeBuhn G et al. (2007) Pollination and other ecosystem services produced by mobile organisms: a conceptual framework for the effects of land-use change. Ecol Lett 10: 299-314. doi:https://doi.org/10.1111/j.1461-0248.2007.01018.x. PubMed: 17355569.
  22. 22. Munyuli T (2011) Factors governing flower visitation patterns and quality of pollination services delivered by social and solitary bee species to coffee in central Uganda. Afr J Ecol 49: 501-509. doi:https://doi.org/10.1111/j.1365-2028.2011.01284.x.
  23. 23. Totland O (2001) Environment-dependent pollen limitation and selection on floral traits in an alpine species. Ecology 82: 2233-2244. doi:https://doi.org/10.1890/0012-9658(2001)082[2233:EDPLAS]2.0.CO;2.
  24. 24. Genung MA, Lessard JP, Brown CB, Bunn WA, Cregger MA (2010) Non-additive effects of genotypic diversity increase floral abundance and abundance of floral visitors. PLOS ONE 5: e8711. doi:https://doi.org/10.1371/journal.pone.0008711. PubMed: 20090850.
  25. 25. Potts SG, Vulliamy B, Dafni A, Ne’eman G, O’Toole C et al. (2003) Response of plant-pollinator communities to fire: Changes in diversity, abundance and floral reward structure. Oikos 101: 103-112. doi:https://doi.org/10.1034/j.1600-0706.2003.12186.x.
  26. 26. Hegland SJ, Boeke L (2006) Relationships between the density and diversity of floral resources and flower visitor activity in a temperate grassland community. Ecol Entomol 31: 532-538. doi:https://doi.org/10.1111/j.1365-2311.2006.00812.x.
  27. 27. Hobbs RJ, Huenneke LF (1992) Disturbance, diversity, and invasion: implications for conservation. Conserv Biol 6: 324-337. doi:https://doi.org/10.1046/j.1523-1739.1992.06030324.x.
  28. 28. Brockway DG, Lewis CE (1997) Long-term effects of dormant-season prescribed fire on plant community diversity, structure and productivity in a longleaf pine wiregrass ecosystem. Forest Ecol Manage 96: 167-183. doi:https://doi.org/10.1016/S0378-1127(96)03939-4.
  29. 29. Keeley JE, Lubin D, Fotheringham CJ (2003) Fire and grazing impacts on plant diversity and alien plant invasions in the southern Sierra Nevada. Ecol Appl 13: 1355-1374. doi:https://doi.org/10.1890/02-5002.
  30. 30. Safford HD, Harrison S (2004) Fire effects on plant diversity in serpentine vs sandstone chaparral. Ecology 85: 539-548. doi:https://doi.org/10.1890/03-0039.
  31. 31. Capitanio R, Carcaillet C (2008) Post-fire Mediterranean vegetation dynamics and diversity: A discussion of succession models. Forest Ecol Mange 225: 431-439.
  32. 32. Wall WA, Hoffmann WA, Wentworth TR, Gray JB, Hohmann MG (2012) Demographic effects of fire on two endemic plant species in the longleaf pine-wiregrass ecosystem. Plant Ecol 213: 1093-1104. doi:https://doi.org/10.1007/s11258-012-0068-7.
  33. 33. Certini G (2005) Effects of fire on properties of forest soils: A review. Oecologia 143: 1-10. doi:https://doi.org/10.1007/s00442-004-1788-8. PubMed: 15688212.
  34. 34. Abrams MD (1992) Fire and the development of oak forests. BioScience 42: 346-353. doi:https://doi.org/10.2307/1311781.
  35. 35. Turner MG, Romme WH, Gardner RH, Hargrove WW (1997) Effects of fire size and pattern on early succession in Yellowstone National Park. Ecol Monogr 67: 411-433. doi:https://doi.org/10.1890/0012-9615(1997)067[0411:EOFSAP]2.0.CO;2.
  36. 36. Moreira AG (2000) Effects of fire on savanna protection structure in Central Brazil. J Biogeogr 27: 1021-1029. doi:https://doi.org/10.1046/j.1365-2699.2000.00422.x.
  37. 37. Scharenbroch BC, Nix B, Jacobs KA, Bowles ML (2012) Two decades of low-severity prescribed fire increased soil nutrient availability in a Midwestern, USA oak (Quercus) forest. Geoderma 183-184: 80-91. doi:https://doi.org/10.1016/j.geoderma.2012.03.010.
  38. 38. Carson WP, Pickett STA (1990) Role of resources and disturbance in the organization of an old-field ecosystem. Ecology 69: 984-994.
  39. 39. McGinley MA, Tilman D (1993) Short-term response of old-field plant communities to fire and disturbance. Am Midl Nat 129: 409-413. doi:https://doi.org/10.2307/2426523.
  40. 40. Essenberg CJ (2012) Explaining variation in the effect of floral density on pollinator visitation. Am Nat 180: 153-166. doi:https://doi.org/10.1086/666610. PubMed: 22766928.
  41. 41. Kunin WE (1993) Sex and the single mustard: population density and pollinator behavior effects on seed-set. Ecology 74: 2145-2160. doi:https://doi.org/10.2307/1940859.
  42. 42. Thompson JD (1982) Patterns of visitation by animal pollinators. Oikos 39: 241-250. doi:https://doi.org/10.2307/3544491.
  43. 43. Steffan-Dewenter I, Tscharntke T (1999) Effects of habitat isolation on pollinator communities and seed set. Oecologia 121: 432-440. doi:https://doi.org/10.1007/s004420050949.
  44. 44. Ricketts TH (2004) Tropical forest fragments enhance pollinator activity in nearby coffee crops. Conserv Biol 18: 1262-1271. doi:https://doi.org/10.1111/j.1523-1739.2004.00227.x.
  45. 45. Root RB (1973) Organization of a plant-arthropod association in simple and diverse habitats: the fauna of collards (Brassica oleracea). Ecol Monogr 43: 95-124. doi:https://doi.org/10.2307/1942161.
  46. 46. Usda NRCS (2009) The PLANTS Database. Baton Rouge, LA: National Plant Data Center. Available: http://plants.usda.gov. Accessed 20 April 2013.
  47. 47. McEwan RW, Hutchinson TF, Long RP, Ford DR, McCarthy BC (2007) Temporal and spatial patterns in fire occurrence during the establishment of mixed-oak forests in eastern North America. J Veg Sci 18: 655-664. doi:https://doi.org/10.1111/j.1654-1103.2007.tb02579.x.
  48. 48. Emery SM, Uwimbabazi J, Flory SL (2011) Fire intensity effects on seed germination of native and invasive Eastern deciduous forest understory plants. Forest Ecol Manage 261: 1401-1408. doi:https://doi.org/10.1016/j.foreco.2011.01.024.
  49. 49. Kearns CA, Inouye DW (1993) Techniques for pollination biologists. Niwot: University Press of Colorado. pp. 335-343.
  50. 50. Grundel R, Jean RP, Frohnapple KJ, Glowacki GA, Scott PE et al. (2010) Floral and nesting resources, habitat structure, and fire influence bee distribution across an open-forest gradient. Ecol Appl 20: 1678-1692. doi:https://doi.org/10.1890/08-1792.1. PubMed: 20945767.
  51. 51. Bowman DMJS, Balch JK, Artaxo P, Bond WJ, Carlson JM et al. (2009) Fire in the Earth system. Science 324: 481-484. doi:https://doi.org/10.1126/science.1163886. PubMed: 19390038.
  52. 52. Swengel AB (2001) A literature review of insect responses to fire, compared to other conservation managements of open habitat. Biodivers Conserv 10: 1141-1169. doi:https://doi.org/10.1023/A:1016683807033.
  53. 53. Bailey JK, Whitham TG (2002) Interactions among fire, aspen and elk affect insect biodiversity: Reversal of a community response. Ecology 83: 1701-1712. doi:https://doi.org/10.1890/0012-9658(2002)083[1701:IAFAAE]2.0.CO;2.
  54. 54. Hessle AE, Graumlich LJ (2002) Interactive effects of human activities, herbivory and fire on quaking aspen (Populus tremuloides) age structures in western Wyoming. J Biogeogr 29: 889-902. doi:https://doi.org/10.1046/j.1365-2699.2002.00703.x.
  55. 55. Bailey JK, Whitham TG (2003) Interactions among fire, elk, aspen, galling sawflies and insectivorous birds. Oikos 101: 127-134. doi:https://doi.org/10.1034/j.1600-0706.2003.12185.x.
  56. 56. Knight TM, Holt RD (2005) Fire generates spatial gradients in herbivory: An example from a Florida sandhill ecosystem. Ecology 83: 587-593.
  57. 57. Rundel PW, Parsons DJ (1980) Changes in two chaparral shrubs along a fire-induced age gradient. Am J Bot 67: 51-58. doi:https://doi.org/10.2307/2442536.
  58. 58. Rowe JS (1983) Concepts of fire effects on plant species and individuals. In: RW WeinDA MacLean. The role of fire in northern circumpolar ecosystems. SCOPE. . New York: John Wiley & Sons. 135-154 pp.
  59. 59. Ne'eman G, Dafni A, Potts SG (2000) The effect of fire on flower visitation rate and fruit set in four core-species in east Mediterranean scrubland. Plant Ecol 146: 97-104. doi:https://doi.org/10.1023/A:1009815318590.
  60. 60. Cambell JW, Hanula JL, Waldrop TA (2007) Effects of prescribed fire and fire surrogates on floral visiting insects of the blue ridge province in North Carolina. Biol Conserv 134: 393-404. doi:https://doi.org/10.1016/j.biocon.2006.08.029.
  61. 61. Feeny P (1976) Plant apparency and chemical defense. Recent Advances in Phytochemistry. New York: Plenum Press. pp. 1-40.
  62. 62. Endara MJ, Coley PD (2011) The resource availability hypothesis revisited: A metaanalysis. Funct Ecol 25: 389-398. doi:https://doi.org/10.1111/j.1365-2435.2010.01803.x.
  63. 63. Grez AA, Gonzalez RH (1995) Resource concentration hypothesis: Effect of host plant patch size on density of herbivorous insects. Oecologia 103: 471-474. doi:https://doi.org/10.1007/BF00328685.
  64. 64. Rhainds M, English-Loeb GM (2003) Testing the resource concentration hypothesis with tarnished plant bug on strawberry: Density of hosts and patch size influence the interaction between abundance of nymphs and incidence of damage. Ecol Entomol 28: 348-358. doi:https://doi.org/10.1046/j.1365-2311.2003.00508.x.
  65. 65. Goulson D (2003) Effects of introduced bees on native ecosystems. Annu Rev Ecol Evol Syst 34: 1-26. doi:https://doi.org/10.1146/annurev.ecolsys.34.011802.132355.
  66. 66. Stout JC, Allen JA, Goulson D (2000) Nectar robbing, forager efficiency and seed set: Bumblebees foraging on the self incompatible plant Linaria vulgaris (Scrophulariaceae). Acta Oecol 21: 277-283. doi:https://doi.org/10.1016/S1146-609X(00)01085-7.
  67. 67. Smith AR, López Quintero IJ, Enrique J, Patiño M, Roubik DW et al. (2012) Pollen use by Megalopta sweat bees in relation to resource availability in a tropical forest. Ecol Entomol 37: 309-317. doi:https://doi.org/10.1111/j.1365-2311.2012.01367.x.