Skip to main content
PNAS Nexus logoLink to PNAS Nexus
. 2022 Nov 9;1(5):pgac230. doi: 10.1093/pnasnexus/pgac230

Synthetic fertilizers alter floral biophysical cues and bumblebee foraging behavior

Ellard R Hunting 1,, Sam J England 2, Kuang Koh 3, Dave A Lawson 4, Nadja R Brun 5,b, Daniel Robert 6
Editor: Karen E Nelson
PMCID: PMC9802097  PMID: 36712354

Abstract

The use of agrochemicals is increasingly recognized as interfering with pollination services due to its detrimental effects on pollinators. Compared to the relatively well-studied chemical toxicity of agrochemicals, little is known on how they influence various biophysical floral cues that are used by pollinating insects to identify floral rewards. Here, we show that widely used horticultural and agricultural synthetic fertilizers affect bumblebee foraging behavior by altering a complex set of interlinked biophysical properties of the flower. We provide empirical and model-based evidence that synthetic fertilizers recurrently alter the magnitude and dynamics of floral electrical cues, and that similar responses can be observed with the neonicotinoid pesticide imidacloprid. We show that biophysical responses interact in modifying floral electric fields and that such changes reduce bumblebee foraging, reflecting a perturbation in the sensory events experienced by bees during flower visitation. This unveils a previously unappreciated anthropogenic interference elicited by agrochemicals within the electric landscape that is likely relevant for a wide range of chemicals and organisms that rely on naturally occurring electric fields.

Keywords: pollination, imidacloprid, neonicotinoid, electrostatics, humidity


Significance Statement.

Flowers exhibit morphological and biophysical adaptations that attract pollinators. A recently discovered ability of several insect species to detect and use electric fields surrounding flowers uncovered the biological significance of natural electric fields. Here, we show that commonly applied synthetic fertilizers and the neonicotinoid pesticide imidacloprid alter the biophysical properties of flowers, affecting both the magnitude and the dynamics of floral electrical cues. These changes result in reduced bumblebee foraging, reflecting a perturbation in the sensory events experienced by bees during flower visitation. Linking fertilizer application to an alteration in pollinator behavior reveals the direct interference by human-made chemicals on how an organism can perceive its physical environment and offers insights into potentially wide-spread perturbations of the biologically relevant electrical environment.

Introduction

Flowers produce a diverse range of cues and attractants to pollinators that collectively promote localization and pollination (1). These cues encompass morphological and physiological adaptations that are relevant over different spatial scales. On a large scale, pollinators use color, sun, and magnetic fields to navigate the landscape (2, 3). On a smaller scale, pollinators use cues such as odor, floral shape, texture, and humidity to identify floral cues and rewards (1, 4, 5). The recently discovered ability of several insects to detect and discriminate static electric fields (E-fields) surrounding flowers has exposed the biological significance of the natural electric landscape (5–9). Floral E-fields arise from the negative bio-electric potential within the flower and positive charges in the atmosphere, including the electrosphere and positively charged insects such as bees (10, 11). Interactions with plants (e.g. pollen transfer, bee visits, and herbivory) result in immediate changes of the electric potential and field structure surrounding the flower, due to electrokinetic responses of the plant (e.g. sap flow) and diffusion of charges in plant tissues (10, 12, 13). Floral E-fields can therefore provide valuable information for pollinators regarding floral rewards.

The widespread use of chemicals in agriculture and horticulture constitutes a pervasive and substantial source of pollution (14, 15). Agrochemicals, in particular pesticides, have been linked to reductions in pollinator abundance and diversity (16–18), and subtle and sub-lethal mechanisms of toxicity are increasingly being recognized as affecting pollinator health and their ability to orient and forage (19–23). Yet aside from chemical toxicity, little is known about the influence of agrochemicals on the mutualistic interaction between plants and pollinators. Foliar applications of agrochemicals are common practice in horticulture and in recent decades gained popularity in agriculture (24). Mixtures of chemicals, in particular fertilizers, are applied dissolved in water using large-scale spray applications. Such spray applications can potentially change the electric properties of flowers in several ways. Many chemicals carry a charge, or electrostatic additives, designed to effectively adhere and enhance exposure to plants (25, 26), and therefore spray applications can increase humidity and alter the conductivity and permittivity of both the plant surface and its surrounding air. Furthermore, chemicals can modify the E-fields around flowers as chemicals have been shown to alter plant electrophysiology (27). Such changes potentially affect the magnitude and dynamics of natural E-fields that are relevant for flower-pollinator interactions.

Spray applications with insecticides and fungicides have indeed been linked to an immediate temporary decline in bee foraging (28, 29), as well as long-term effects on flower visitation (30). This can manifest itself as an immediate behavioral response wherein bumblebees decide not to land while hovering around treated flowers (28, 29; Supplementary Movie, S1). The ability to sense chemical treatment without direct contact with the flower raises the question as to whether agrochemical application can elicit a distortion of floral cues and therewith affect pollinator behavior and pollination. Here, we show that widely used compound fertilizers can temporarily alter bee foraging behavior due to a biophysical alteration of the electrostatic interaction between flowers and bees.

Results and discussion

Spray applications conceivably affect a wide range of biological and physical properties relevant to flower-pollinator interactions that can involve both the plant surface (e.g. conductivity, capacitance, permittivity) as well as its surrounding air (i.e. increased humidity and decreased electrical conductivity) ( 31). The magnitude of such effects is likely dependent on applied charge and aerosol densities as well as weather conditions (e.g. windspeed). Since compound fertilizers are widely used and more frequently applied than pesticides, we centered our study on spray applications of compound fertilizers. An in-depth characterization of the effect of fertilizers on bee visitation was beyond the scope of this study, but we confirmed that a spray application of fertilizers can result in a temporary reduction in bee visitations and avoidance behavior similar as observed for other chemicals (28, 29) (Supplementary Fig. S1; Supplementary Movie S1). To yield insights into the relative magnitudes of the effect of a foliar fertilizer application on floral E-fields, we developed a finite element modeling approach. To this end, we considered two appreciable factors associated with a fertilizer spray application: the presence of fertilizer droplets upon the floral surface, and a localized increase in air humidity (see Supplementary Table S1 for parameters and their ranges). This analysis shows the marked impact of agrochemical spray application on floral E-fields (Fig.   1A to C). The presence of fertilizer droplets creates a perturbation of floral E-fields at close range, while the change in E-fields due to a decrease in air conductivity associated with increased humidity is much more pronounced at longer ranges. Combined, these factors interact to increase the magnitude of the floral E-field by as much as 40 to 500% at distances relevant for bee foraging (0.25 to 4 cm). These findings are robust within all realistic input parameter ranges (Supplementary Fig. S2). As a corollary of the direct proportionality between the bio-electric potential in the stem and floral E-fields (Supplementary Fig. S3), changes in surface wetness and air humidity will likely amplify chemical-induced changes in the floral E-field arising from alterations in the bio-electric potential. This suggests that agricultural chemicals are poised to interact with the electric landscape in multifaceted ways.

Fig. 1.

Fig. 1.

A three-dimensional finite element model depicting the influence of fertilizer application upon a flower exposed to a fair-weather atmospheric potential gradient. (A) Side-by-side comparison of 2D slices through the center of the flower (3D model superimposed on model output), untreated flowers (left), and flowers treated with a fertilizer spray application (right) in a 100 V/m atmospheric E-field, in which color gradients indicate E-field strength. Please note that floral E-fields above 1,000 V/m are grouped as > 1,000 for clarity. (B and C) Electric field strength values taken through the green cutline of the 3D model (inset) focusing on the most relevant distances to foraging bees, displayed for two sets of distances for clarity. Distances extend in (B) from 0.25 to 1.00 cm from the tip of the flower, and in (C) from 1.0 to 4.0 cm from the tip of the flower.

As bees rely on multimodal signaling whilst foraging, various floral cues could be affected by agrochemical spray application. For example, fertilizers could potentially affect visual cues by altering the spectral properties (32) of flowers and thereby misguide bees. To test this, the reflectance spectra of spray applications with demi-water (dH2O) containing realistic fertilizer concentrations (5 mL/L−1; F-dH 2O) and a control dH2O-only application were measured on a background of white paper with self-adhesive covering film. This spectrophotometric test revealed no difference between treatments (Fig. 2A), suggesting no visual difference exists between treated and untreated flowers. Moreover, odor can modulate foraging as bumblebees can discriminate flower and pollen odor ( 33, 34). While fertilizers used here are not volatile under these conditions (boiling point >300 °C), we tested the potential olfactory repellence of fertilizers by offering sucrose-only solutions to bumblebees ( Bombus terrestris) in purple molds in laboratory flight arenas where the surrounding feeding platforms were sprayed F-dH 2O (5 mL/L−1). Sucrose consumption was quantified relative to control feeding platforms sprayed with dH2O-only (see “Supplementary Material” for details). It has been previously shown that the wetness of plant surfaces does not affect bumblebee foraging behavior (35). In this experiment, we observed that bumblebees were actively feeding on both treatments, resulting in no detectable differences in consumption rates between treatments (Fig.   2B), confirming that fertilizers do not alter the odor of the food source. To explore whether chemical treatments have the potential to affect floral E-fields, we sprayed cut flowers (Geranium pratense) with F-dH2O and subsequently coated the flowers with positively charged, colored particles released as an aerosol close to the corolla. The electrostatic deposition pattern of colored particles consistently differed between untreated flowers and flowers treated with F-dH2O (= 20, representative example: Fig. 2C and D). Although we cannot exclude a possible electrostatic interaction between fertilizers and charged color particles, these results suggest that a fertilizer application alters the structure of floral E-fields. To assess whether such changes can be observed in natural plants rooted in soil, we measured the E-field at a 5 cm distance from a flower (Jacobaea vulgaris) in response to a fertilizer spray application. Although a measurement closer to the flower is required to capture the true magnitude of floral E-field change, this measurement revealed that spray applications of fertilizers can instantly increase floral E-fields followed by a slow decay over the course of several minutes (Fig.   2E). Collectively, this suggests that fertilizers are not visually and olfactory repellent, but that they have the potential to elicit structural and dynamic changes in floral E-fields.

Fig. 2.

Fig. 2.

Effect of fertilizer on key floral cues used by bees. (A) Reflectance spectra for dH2O compared to a dH2O + fertilizer coating and background consisting of white paper with self-adhesive film. Dashed vertical lines represent B. terrestrisdalmatinus photoreceptor spectral sensitivity peaks: 348, 435, and 533 nm (30). (B) Repellence of fertilizer was assessed by measuring feeding effort in grams of sucrose consumed per 2 hours using feeding disks where surfaces were wetted with dH2O or dH2O with fertilizer (dH2O + F). Unpaired mean difference between dH2O and dH2O + F is −0.00475 [95%CI −0.0532, 0.0443], P = 0.85; two-sided permutation t-test. (C and D) Representative example (n = 20) of flowers (G. magnificum) before (C) and after (D) spraying with electrostatic colored powder without a fertilizer spray application (left half) and with a fertilizer spray application (right half). The pattern of powder deposition reflects the variation in E-field strength at the flowers’ surface. (E) Effect of fertilizer spray application on the relative electric potential of Ragwort (J. vulgaris), at 5 cm distance from the flower. Arrows indicate the time of fertilizer treatment.

The temporary nature of observed foraging declines (28, 29; Supplementary Fig. S1; Supplementary Movie, S1) suggests dynamic changes in floral E-fields are potentially relevant. Such changes in floral E-fields reflect a composite change in plant physiology and the physical properties of both the plant and the surrounding air, many of which are unknown or difficult to measure and to control. A known physiological response of plants to external stressors (e.g. herbivory, chemicals, and acid rain) is the alteration in bio-electric potential within the stem, where a change in water flow and ion transport is visible as a change in potential difference or streaming current (36–39). Changes in stem potential can be measured and manipulated and are directly proportional to E-field strengths near the flower (Supplementary Fig. S2), and therefore used here to explore the significance of chemical-induced floral E-field changes for plant-bee interactions. In laboratory recordings, we measured temporal changes in the relative stem potential generated by an ion flux that is proportional to the streaming potential (5, 37). We observed that the deposition of fertilizers substantially alters the stem potential of cut Lavandula angustifolia flowers for prolonged periods (Fig. 3A; Supplementary Fig. S4). To accurately determine the extent to which fertilizers alter plant bio-electric potentials, we measured stem potential changes in larger and easier-to-handle stems of Eustoma russellianum in response to sprays with control dH2O and dH2O-containing fertilizers. While we observed a change in stem potential induced by a control dH2O spray application that only lasted 30 to 60 seconds (Fig. 3B), a spray with fertilizers consistently resulted in a change in stem potential that lasted up to 16 min. To test whether similar responses could be induced by another agricultural chemical, we used a spray application with the positively charged imidacloprid, an emblematic neonicotinoid pesticide. Here, imadocloprid induced a change in stem potential that lasted up to 25 min (Fig. 3C). These changes did not appear to be the result of surface wetness as flower surfaces remained wet for prolonged periods (>1 hour) after spray applications. The observed fluctuation in stem potential upon agricultural spray application is up to 15 times longer than natural fluctuations (e.g. wind or bees, ∼100 seconds) (14, 27), and aligns with observed declines (approximately 20 min) in foraging after spray applications in natural field conditions (28, 29) (Supplementary Fig. 1). Since many chemicals used in agriculture and horticulture carry an electric charge, the observed mechanism could potentially be relevant for a wide array of chemicals.

Fig. 3.

Fig. 3.

Effect of chemicals on stem potential. (A) Dynamic change in the relative stem potential of cut lavender (L. angustifolia) after a spray application with dH2O (blue arrows) or dH2O containing fertilizers (red arrow). The effect of fertilizer (B) and imidacloprid (C) deposition on the stem streaming potential of E. russelianum as reflected by the time required for recovery of stem potential after spray events of either a control dH2O (blue) or chemical treatment (orange). A second spray of dH2O was applied after the chemical treatments to mimic a subsequent rain event (green). Unpaired mean difference between Control and Fertilizer is 674 [95%CI 460, 840; P<0.001], and Rain is 940 [95%CI 780, 1020; P<0.001]. Unpaired mean difference between Control and Imidacloprid is 979 [95%CI 664, 128; P<0.001] and Rain is 654 [95%CI 488, 802; P<0.001].

To further assess how the treated plants would respond to a subsequent rain event, we mimicked a rain event after the initial treatment by spraying dH2O considering rain in clean areas is usually free from geogenic chemicals (40). Again, a prolonged alteration of the electrical signature that corresponds to the chemical treatments was also observed after the simulated rain event (Fig. 3B and C). This unveils recurrent effects of topical chemical deposition or imprinting on plant physiological responses. While the long-term effects of the observed chemically induced changes in floral E-fields and pollinator-plant interactions remain uncertain, it is conceivable that the adverse effects of spray applications can persist in time due to (1) recurring changes in the bio-electric potential following rain events, and (2) a lasting negative association learned by visiting bees or observing conspecifics (41–43).

Fertilizers and a potentially wide array of agricultural chemicals can thus affect the electrical signature of flowers, likely affecting how it is perceived by bees. To assess this, we observed foraging behavior of wild bumblebees on cut L. angustifolia flowers in a rural area in which we artificially maintained the flower stems at a different potential to mimic the bio-electric changes induced by agrochemical spray applications. The change in potential was calibrated against changes observed upon a fertilizer spray application (approximately 500 mV; see Fig. 4A), in which we observed that a 13 V potential difference across the flower and stem resulted in a change in streaming current that is comparable to changes due to fertilizer sprays (see “Supplementary Material”). The signal generator was set at an 0.07 Hz square wave to maintain a direct current (DC) component yet prevent drift of the stem potential offset. The total number of approaches was 47 for control flowers and 62 for manipulated flowers, while the total number of landings was 43 for control flowers and 35 for manipulated flowers (average approaches and landings per run: control 5.9 ± 3.4 and 4.8 ± 3.1 and manipulated flowers: 7.8 ± 3.4 and 3.6 ± 2.1, respectively.). Quantifying bee approach to landing ratio shows that flowers with altered stem potential and floral E-fields receive significantly fewer landings from bees compared to control flowers without manipulated stem potentials (Fig. 4A). To assess whether electric manipulation of the flowers affected bees on the flower, we measured the visit duration of landed bees (Fig. 4B), revealing no apparent difference between treatments. This suggests altered floral E-fields affect bee foraging when approaching the flower, and that bumblebees can detect and discriminate small and dynamic alterations in the electric landscape induced by agrochemical deposition. This encourages investigation of chemical-borne perturbations in the electric landscape and whether this affects the health and performance of pollinator populations.

Fig. 4.

Fig. 4.

Foraging behavior of wild bumblebees on control lavender flowers and lavender flowers where stems were artificially maintained at a different electric potential. Stem potential was calibrated against changes observed after spray applications of fertilizer (approximately 500 mV induced by a 13 V potential difference across the flower and lower end of the stem). (A) Ratio between bee approaches and landing over the replicate runs. The total number of approaches was 47 for control and 62 for applied voltage, while the total number of landings was 43 for control and 35 for applied voltage Unpaired mean difference between Control and manipulated flowers is -0.427 [95%CI -0.54, -0.319; P<0.01]. (B) Visit duration of landed bees. Unpaired mean difference between control and manipulated flowers is −1.62 [95%CI −4.44, 1.17; P=0.285].

The present evidence that fertilizers affect pollinator behavior by interfering with the way an organism perceives its physical environment offers the first insights into the effects of human-made chemicals on the biologically relevant electrical environment. These effects are potentially also induced by various airborne particles (e.g. nanoparticles, exhaust gases, nanoplastics, and viral particles). Although it remains speculative how electric alterations operate at larger spatial and temporal scales, the potential of human-made chemicals to alter a complex set of interlinked biophysical processes likely carries implications beyond pollination since natural E-fields are pervasive and intrinsically linked to a wide array of organisms and biological processes (7, 44–49).

Supplementary Material

pgac230_Supplemental_Files

ACKNOWLEDGEMENTS

Artwork produced by Nubia Hunting.

Notes

Competing interest: The authors declare no competing interests.

Contributor Information

Ellard R Hunting, School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.

Sam J England, School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.

Kuang Koh, School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.

Dave A Lawson, School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.

Nadja R Brun, Biology Department, Woods Hole Oceanographic Institution, 86 Water St, Falmouth, MA 02543, USA.

Daniel Robert, School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.

Funding

E.H. received financial support from the Swiss National Science Foundation, SNF [CRSK-2 190855]. Part of this work was developed by participating in the COST Action 15211 Atmospheric Electricity Network: coupling with the earth system, climate and biological systems, supported by the European Union COST (European Cooperation in Science and Technology) Program. E.H. acknowledges financial support from the above COST Action for a short-term scientific mission. D.R. received financial support from the European Research Commission [ERC-ADG 743093], supporting E.H., S.E., and K.K.

Authors' Contributions

Conception: E.H.; experimental design: E.H., D.L., N.B., and D.R.; modeling: K.K. and S.E.; experiments: E.H., S.E., and D.L.; data analysis: E.H., D.L., and N.B.; writing: E.H., with contributions from all authors.

Data Availability

All data are included in the manuscript and/or supporting information.

Conflict of Interest

The authors declare no competing interests

References

  • 1. Raguso RA. 2004. Flowers as sensory billboards: progress towards an integrated understanding of floral advertisement. Curr Opin Plant Biol. 7(4):434–440. [DOI] [PubMed] [Google Scholar]
  • 2. Gould JL, Kirschvink JL, Deffeyes KS. 1978. Bees have magnetic remanence. Science. 201(4360):1026–1028. [DOI] [PubMed] [Google Scholar]
  • 3.v. Frisch K. 1949. The polarization of the heavenly light as an orienting factor in the dances of the bees. Experientia. 5(4):142–148. [DOI] [PubMed] [Google Scholar]
  • 4. Harrap MJ, et al. 2021. Bumblebees can detect floral humidity. J Exp Biol. 224(12):jeb240861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Clarke D, et al. 2013. Detection and learning of floral electric fields by bumblebees. Science. 340(6128):66–69. [DOI] [PubMed] [Google Scholar]
  • 6. Khan SA, et al. 2021. Electric field detection as floral cue in hoverfly pollination. Sci Rep. 11(1):1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. England SJ, Robert D. 2022. The ecology of electricity and electroreception. Biol Rev. 97(1):383–413. [DOI] [PubMed] [Google Scholar]
  • 8. Sutton GP, Clarke D, Morley EL, Robert D. 2016. Mechanosensory hairs in bumblebees (Bombus terrestris) detect weak electric fields. Proc Natl Acad Sci. 113(26):7261–7265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Moyroud E, Glover BJ. 2017. The physics of pollinator attraction. New Phytol. 216(2):350–354. [DOI] [PubMed] [Google Scholar]
  • 10. Gibert D, Le Mouël JL, Lambs L, Nicollin F, Perrier F. 2006. Sap flow and daily electric potential variations in a tree trunk. Plant Sci. 171(5):572–584. [Google Scholar]
  • 11. Clarke D, Morley E, Robert D. 2017. The bee, the flower, and the electric field: electric ecology and aerial electroreception. J Comp Physiol A. 203(9):737–748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Volkov AG, Haack RA. 1995. Insect-induced bioelectrochemical signals in potato plants. Bioelectrochem Bioenerg. 37(1):55–60. [Google Scholar]
  • 13. Volkov AG. 2006. Plant electrophysiology. Berlin: Springer. [Google Scholar]
  • 14. Goulson D, Nicholls E, Botías C, Rotheray EL. 2015. Bee declines driven by combined stress from parasites, pesticides, and lack of flowers. Science. 347(6229):1255957. [DOI] [PubMed] [Google Scholar]
  • 15. Siviter H, et al. , 2021. Agrochemicals interact synergistically to increase bee mortality. Nature. 596(7872):389–392. [DOI] [PubMed] [Google Scholar]
  • 16. Kremen C, Merenlender AM. 2018. Landscapes that work for biodiversity and people. Science.362(6412):eaau6020. [DOI] [PubMed] [Google Scholar]
  • 17. Seibold S, et al. 2019.Arthropod decline in grasslands and forests is associated with landscape-level drivers. Nature. 574(7780):671–674. [DOI] [PubMed] [Google Scholar]
  • 18. Grab H, et al. Agriculturally dominated landscapes reduce bee phylogenetic diversity and pollination services. Science.363(6424):282–284. [DOI] [PubMed] [Google Scholar]
  • 19. Zattara EE, Aizen MA. 2021. Worldwide occurrence records suggest a global decline in bee species richness. One Earth. 4(1):114–123. [Google Scholar]
  • 20. Stanley DA, et al. 2015. Neonicotinoid pesticide exposure impairs crop pollination services provided by bumblebees. Nature. 528(7583):548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Russo L, Buckley YM, Hamilton H, Kavanagh M, Stout JC. 2020. Low concentrations of fertilizer and herbicide alter plant growth and interactions with flower-visiting insects. Agric Ecosyst Environ. 304:107141. [Google Scholar]
  • 22. Crall JD, et al. 2018. Neonicotinoid exposure disrupts bumblebee nest behavior, social networks, and thermoregulation. Science. 362(6415):683–686. [DOI] [PubMed] [Google Scholar]
  • 23. Tison L, et al. 2016. Honeybees’ behavior is impaired by chronic exposure to the neonicotinoid thiacloprid in the field. Environ Sci Technol.50(13):7218–7227. [DOI] [PubMed] [Google Scholar]
  • 24. Fageria NK, Barbosa Filho MP, Moreira A, Guimarães CM. 2009. Foliar fertilization of crop plants. J Plant Nutr. 32(6):1044–1064. [Google Scholar]
  • 25. Tomizawa M, et al. 2003. The neonicotinoid electronegative pharmacophore plays the crucial role in the high affinity and selectivity for the Drosophila nicotinic receptor: an anomaly for the nicotinoid cation−π interaction model. Biochemistry. 42(25):7819–7827. [DOI] [PubMed] [Google Scholar]
  • 26. Hooven L, et al. 2019. Potential risk to pollinators from nanotechnology-based pesticides. Molecules. 24:4458. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Volkov AG, Mwesigwa J. 2001. Electrochemistry of soybean: effects of uncouplers, pollutants, and pesticides. J Electroanal Chem. 496(1-2):153–157. [Google Scholar]
  • 28. Fell RD, et al. 1983. Effects of fungicide sprays during apple bloom on pollen viability and honeybee foraging. Environ Entomol. 12(5):1572–1575. [Google Scholar]
  • 29. Desneux N, et al. 2007. The sublethal effects of pesticides on beneficial arthropods. Annu Rev Entomol.52:81–106. [DOI] [PubMed] [Google Scholar]
  • 30. Tamburini G, et al. 2021. Fungicide and insecticide exposure adversely impacts bumblebees and pollination services under semi-field conditions. Environ Int. 157:106813. [DOI] [PubMed] [Google Scholar]
  • 31. Harrison RG, Aplin KL. 2008. Water vapour changes and atmospheric cluster ions. Atmos Res. 85(2):199–208. [Google Scholar]
  • 32. Skorupski P, et al. 2007. Photoreceptor spectral sensitivity in island and mainland populations of the bumblebee, Bombusterrestris. J Comp Physiol A. 193(5):485–494. [DOI] [PubMed] [Google Scholar]
  • 33. Lawson DA, Chittka L, Whitney HM, Rands SA. 2018. Bumblebees distinguish floral scent patterns, and can transfer these to corresponding visual patterns. Proc R Soc B. 285(1880):20180661. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Milet-Pinheiro P, et al. 2013. The chemical basis of host-plant recognition in a specialized bee pollinator. J Chem Ecol. 39(11):1347–1360. [DOI] [PubMed] [Google Scholar]
  • 35. Lawson DA, Rands SA. 2019. The effects of rainfall on plant–pollinator interactions. Arthropod Plant Interact. 13(4):561–569. [Google Scholar]
  • 36. Shvetsova T, et al. 2002. Soybean electrophysiology: effects of acid rain. Plant Sci. 162(5):723–731. [Google Scholar]
  • 37. Maffei M, Bossi S. 2006. Electrophysiology and plant responses to biotic stress. In: Volkov Alexander Geditor, Plant Electrophysiology. Berlin, Heidelberg:Springer. p.461–481. [Google Scholar]
  • 38. Favre P, et al. 1999. Repetitive action potentials induced in the liverwort Conocephalum conicum (L.). Arch Sci.52:187–188. [Google Scholar]
  • 39. Fromm J, Lautner S. 2007. Electrical signals and their physiological significance in plants. Plant Cell Environ. 30(3):249–257. [DOI] [PubMed] [Google Scholar]
  • 40. Qi Q, Marwa J, Mwamila TB, Gwenzi W, Noubactep C. 2019. Making rainwater harvesting a key solution for water management: the universality of the Kilimanjaro Concept. Sustainability. 11(20):5606. [Google Scholar]
  • 41. Villar ME, Marchal P, Viola H, Giurfa M. 2020. Redefining single-trial memories in the honeybee. Cell Rep. 30:2603–2613.e3. [DOI] [PubMed] [Google Scholar]
  • 42. Dawson EH, Avargues-Weber A, Chittka L, Leadbeater E. 2013. Learning by observation emerges from simple associations in an insect model. Curr Biol. 23(8):727–730. [DOI] [PubMed] [Google Scholar]
  • 43. Internicola AI, Harder LD. 2012. Bumble-bee learning selects for both early and long flowering in food-deceptive plants. Proc R Soc Biol Sci. 279(1733):1538–1543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Hunting ER, et al. 2019. Atmospheric electricity influencing biogeochemical processes in soils and sediments. Front Physiol. 10:378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Morley EL, Robert D. 2018. Electric fields elicit ballooning in spiders. Curr Biol. 28(14):2324–2330. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Hunting ER, et al. Observed electric charge of insect swarms and their contribution to atmospheric electricity. iScience. in press. [DOI] [PMC free article] [PubMed]
  • 47. Hunting ER, et al. 2021. Challenges in coupling atmospheric electricity with biological systems. Int J Biometeorol. 65(1):45–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Greggers U, et al. 2013. Reception and learning of electric fields in bees. Proc R Soc B Biol Sci. 280(1759):20130528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Hunting ER, et al. 2021. Tree canopies influence ground level atmospheric electrical and biogeochemical variability. Front Earth Sci. 9:562. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

pgac230_Supplemental_Files

Data Availability Statement

All data are included in the manuscript and/or supporting information.


Articles from PNAS Nexus are provided here courtesy of Oxford University Press

RESOURCES