Honeybee Hives Research Articles

Effect of feed supplementation with probiotics and postbiotics on strength and health status of honey bee (Apis mellifera) hives during late spring

Currently, beekeeping faces many risks, such as deteriorating health of honeybees in hives, which results in high mortality rates, mainly during winter. An important consequence is the emergence/re-emergence of communicable diseases such as varroosis or nosemosis. These diseases jeopardize the continuity of the sector because of the absence of effective treatments and harmful residues that they can be retained on wax or honey. This study aimed to evaluate how feed supplementation with probiotic and postbiotic products derived from lactic acid bacteria affected the strength, dynamic population, and sanitary parameters of honey bees. Three groups of 30 hives were established and fed with feed supplemented with control, probiotic, or postbiotic products, with a total of nine applications over two months in late spring. Two monitoring tests were conducted to evaluate the strength and health status of hives. Hives that consumed postbiotic products enhanced their strength, increased bee population and egg laying of the queen, and maintained their reserves of pollen, whereas these parameters decreased in hives belonging to other groups. Furthermore, although the results suggested a favorable effect of postbiotic products on the trend of N. ceranae infection levels, probiotics showed intermediate results. While awaiting long-term results regarding V. destructor infestation, which showed similar trends in all groups, feed supplementation with postbiotics could be an important tool for beekeepers to enhance the strength and health status of their hives.

Measuring the Variability and Humidity of Apis mellifera Honeybee Hives by the Effect of some Ventilation and Indoor Fires During the Autumn Season Using a New System

This study was conducted in the Al-Hadid-Baquba/Diyala governorate during the months of September, October and November of 2021 to increase ventilation and reduce the humidity inside the bee colonies by the use of ventilation holes and the addition of waterers to increase the thermal balance inside the hive. 24 Beehives were used in the experiment and divided into eight treatments. T1 control treatment (beehives with no ventilation holes and without waterers ), T2: Beehives containing waterers, T3, T4 and T5 Beehives contain one, two, and three ventilation holes without waterers; T6, T7, and T8, contain one, two, and three ventilation holes with waterers, respectively. The statistical data obtained from the computer monitoring system showed that the treatments led to a highly significant decrease (P≤0.01) in the temperature and relative humidity recorded inside the beehives. The average temperature during The autumn was 37.50, 36.20, 34.44, 33.90, 33.45, 33.33, 33.49 and 33.96 ° C, while the humidity was 65.59, 67.96, 56.01, 56.23, 61.39, 52.39, 53.18 and 53.96% in treatments T1, T2, T3, T4, T6, T7 and T8 respectively.

Identifying Queenlessness in Honeybee Hives from Audio Signals Using Machine Learning

Honeybees are vital to both the agricultural industry and the wider ecological system, most importantly for their role as major pollinators of flowering plants, many of which are food crops. Honeybee colonies are dependent on having a healthy queen for their long-term survival since the queen bee is the only reproductive female in the colony. Thus, as the death or loss of the queen is of great negative impact for the well-being of a honeybee colony, beekeepers need to be aware if a queen has died in any of their hives so that appropriate remedial action can be taken. In this paper, we describe our approaches to using acoustic signals recorded in beehives and machine learning algorithms to identify whether beehives do or do not contain a healthy queen. Our results are extremely positive and should help beekeepers decide whether intervention is needed to preserve the colony in each of their hives.

A Monitoring System for Carbon Dioxide in Honeybee Hives: An Indicator of Colony Health

Non-dispersive infra-red (NDIR) detectors have become the dominant method for measuring atmospheric CO2, which is thought to be an important gas for honeybee colony health. In this work we describe a microcontroller-based system used to collect data from Senserion SCD41 NDIR sensors placed in the crown boards and queen excluders of honeybee colonies. The same sensors also provide relative humidity and temperature data. Several months of data have been recorded from four different hives. The mass change measurements, from hive scales, when foragers leave the hive were compared with the data from the gas sensors. Our data suggest that it is possible to estimate the colony size from the change in measured CO2, however no such link with the humidity is observed. Data are presented showing the CO2 decreasing over many weeks as a colony dies.

Isolation, Identification, and Antibacterial Assay of Indigenous Bacterial Isolates from Apis cerana Honeycomb

Apis cerana is a honey bee species with a cavity hive known as the eastern honey bee. Honey bee hives have Indigenous bacteria that have antimicrobial potential. Indigenous bacteria are free bacteria that can synthesize nitrogen compounds, sugars, and other bioactive substances. This study aims to isolate, identify and test the antibacterial of Indigenous bacteria isolate Apis cerana against gram-positive Staphylococus aureus and gram-negative bacteria Escherichia coli. This study used a descriptive research method to obtain the data from laboratory experiments. The study consisted of isolating Indigenous bacteria, identifying and testing the antibacterial agar diffusion method. The study results obtained seven isolates of AC 1, AC 2, AC 3, AC 4, AC 5, AC 6, AC 7 Indigenous bacteria from Apis cerana nests. AC 1 isolate has similarities with the genus Streptococcus, AC 2 isolates have similarities with the Klebsiella genus, while AC 3 isolates have similarities with the Bacillus genus, and AC 4, AC 5, AC 6 and AC 7 isolates have similarities with the Citrobacter genus. Indigenous bacterial isolates with potential antibacterial potential where the most significant inhibition against Staphylococus aureus bacteria was shown by isolate AC 1 (10.79 mm). At the same time, the smallest was found in isolate AC 7 (8.52 mm). The most significant inhibition against Escherichia coli bacteria was shown by isolate AC 1 (9.0 mm) while the smallest was found in isolate AC 3 (7.4 mm). Apis cerana nests have indigenous bacteria that have the potential to produce antibacterial substances

Modelling daily weight variation in honey bee hives.

A quantitative understanding of the dynamics of bee colonies is important to support global efforts to improve bee health and enhance pollination services. Traditional approaches focus either on theoretical models or data-centred statistical analyses. Here we argue that the combination of these two approaches is essential to obtain interpretable information on the state of bee colonies and show how this can be achieved in the case of time series of intra-day weight variation. We model how the foraging and food processing activities of bees affect global hive weight through a set of ordinary differential equations and show how to estimate the parameters of this model from measurements on a single day. Our analysis of 10 hives at different times shows that the estimation of crucial indicators of the health of honey bee colonies are statistically reliable and fall in ranges compatible with previously reported results. The crucial indicators, which include the amount of food collected (foraging success) and the number of active foragers, may be used to develop early warning indicators of colony failure.

Surveillance for Avocado Sunblotch Viroid Utilizing the European Honey Bee (Apis mellifera).

Avocado is one of the world's fastest growing tropical fruit industries, and the pathogen avocado sunblotch viroid (ASBVd) is a major threat to both production and access to international export markets. ASBVd is seed transmissible, with infection possible via either the male (pollen) or female gametes. Surveillance for ASBVd across commercial orchards is a major logistical task, particularly when aiming to meet the stringent standards of evidence required for a declaration of pest freedom. As with many fruit crops, insect pollination is important for high avocado yields, and honey bee (Apis mellifera) hives are typically moved into orchards for paid pollination services. Exploiting the foraging behavior of honey bees can provide a complementary strategy to traditional surveillance methods. High-throughput sequencing (HTS) of bee samples for plant viruses shows promise, but this surveillance method has not yet been tested for viroids or in a targeted plant biosecurity context. Here, we tested samples of bees and pollen collected from pollination hives in two ASBVd orchard locations, one in Australia, where only four trees in a block were known to be infected, and a second in South Africa, where the estimated incidence of infection was 10%. Using real-time RT-PCR and HTS (total RNA-seq and small RNA-seq), we demonstrated that ASBVd can be confidently detected in bees and pollen samples from hives within 100 m of infected trees. The potential for using this approach in ASBVd surveillance for improved orchard management and supporting market access is discussed.

Automated monitoring of honey bees with barcodes and artificial intelligence reveals two distinct social networks from a single affiliative behavior

Barcode-based tracking of individuals is revolutionizing animal behavior studies, but further progress hinges on whether in addition to determining an individual’s location, specific behaviors can be identified and monitored. We achieve this goal using information from the barcodes to identify tightly bounded image regions that potentially show the behavior of interest. These image regions are then analyzed with convolutional neural networks to verify that the behavior occurred. When applied to a challenging test case, detecting social liquid transfer (trophallaxis) in the honey bee hive, this approach yielded a 67% higher sensitivity and an 11% lower error rate than the best detector for honey bee trophallaxis so far. We were furthermore able to automatically detect whether a bee donates or receives liquid, which previously required manual observations. By applying our trophallaxis detector to recordings from three honey bee colonies and performing simulations, we discovered that liquid exchanges among bees generate two distinct social networks with different transmission capabilities. Finally, we demonstrate that our approach generalizes to detecting other specific behaviors. We envision that its broad application will enable automatic, high-resolution behavioral studies that address a broad range of previously intractable questions in evolutionary biology, ethology, neuroscience, and molecular biology.

Fungicide Exposure in Honey Bee Hives Varies By Time, Worker Role, and Proximity to Orchards in Spring.

Fungicides are commonly applied to prevent diseases in eastern North American cherry orchards at the same time that honey bees (Apis mellifera L. (Hymenoptera: Apidae)) are rented for pollination services. Fungicide exposure in honey bees can cause negative health effects. To measure fungicide exposure, we sampled commercial honey bee colonies during orchard bloom at two commercial tart cherry orchards and one holding yard in northern Michigan over two seasons. Nurse bees, foragers, larvae, pollen, bee bread, and wax were screened for captan, chlorothalonil, and thiophanate-methyl. We also looked at the composition of pollens collected by foragers during spring bloom. We found differences in fungicide residue levels between nurse bees and foragers, with higher captan levels in nurse bees. We also found that residue levels of chlorothalonil in workers were significantly increased during tart cherry bloom, and that nurse bees from hives adjacent to orchards had significantly higher chlorothalonil residues than nurse bees from hives kept in a holding yard. Our results suggest that fungicide exposure of individual honey bees depends greatly on hive location in relation to mass-flowering crops, and worker role (life stage) at the time of collection. In some pollen samples, captan and chlorothalonil were detected at levels known to cause negative health effects for honey bees. This study increases our understanding of exposure risk for bees under current bloom time orchard management in this region. Further research is needed to balance crop disease management requirements with necessary pollination services and long-term pollinator health.

Photoprotective and Antioxidant Potential of Indonesia’s Klanceng Honey Beehive Waste

A byproduct of the honey processing called Klanceng honey beehive waste is said to still contain secondary metabolites that are beneficial to health. The objective of this research was to assess the photoprotective properties of an ethanol extract, n-hexane fraction, and ethyl acetate fraction obtained from the waste of an Indonesian Klanceng honey beehive that originated in Magelang. The DPPH free radical technique was applied to quantify antioxidant properties, and the Mansur equation’s SPF value was used to calculate photoprotective activity. The analysis of the data revealed that the IC50 values for the ethanol extract, n-hexane fraction, and ethyl acetate fraction were, respectively, 470.2935±0.9249, 207.1869± 2.6510, and 216.4892±0.8349. The ethanol extract, n-hexane fraction, and ethyl acetate fraction of the samples had SPF values of 3.872, 3.529, and 9.358, respectively. The ethyl acetate fraction, as opposed to the ethanol extract and the n-hexane fraction, has greater potential as a photoprotective agent as a result.

Long-term spatiotemporal patterns in the number of colonies and honey production in Mexico

Honey bee decline is currently one of the world's most serious environmental issues, and scientists, governments, and producers have generated interest in understanding its causes and consequences in honey production and food supply. Mexico is one of the world’s top honey producers, however, the honey bee population's status has not been documented to date. Based on 32 years of data from beekeeping, we make a country-level assessment of honey bee colony trends in Mexico. We use generalized additive mixed models to measure the associations between the percent change in honey bee hives and the percent change in honey yield per hive in relation to land-use, climate, and socioeconomic conditions. Despite the fact that the average annual yield per hive increased from 1980 to 2012, we detected a significant decline in the percent change in the number of honey bee hives across the time period studied. We also found a relationship between climatic conditions and agricultural land use, with agriculture increases and high temperatures producing a decrease in the percent change in honey yield. We found a relationship between a reduction in the temperature range (the difference between maximum and minimum temperatures) and a decrease in the percent change in the number of hives, while socioeconomic factors related to poverty levels have an impact on the number of hives and honey yields. Although long-term declines in hive numbers are not correlated with poverty levels, socioeconomic factors in states with high and medium poverty levels limit the increase in honey yield per hive. These results provide evidence that land-use changes, unfavorable climatic conditions, political, and socioeconomic factors are partially responsible for the reductions in the percent change in honey bee hives in Mexico.

Microplastics incorporated by honeybees from food are transferred to honey, wax and larvae

Microplastics (MP) are ubiquitous in the environment, and there is little information available on their impact on terrestrial organisms. Their effect on insects and particularly on honeybees is relevant, given the prevalence of these organisms in the environment and the fact that they provide key ecosystem services. We conducted a field study to assess (1) the fate of these ingested MP within the hive, and (2) MP effect on Apis mellifera population growth during chronic exposure. We aimed to determine if MP ingested by honeybees are incorporated into hive matrices, including honey, and their effect on colony development and honey reserves. We fed beehives with sucrose solutions treated or untreated with 50 mg of Polyester microfibers/L for one month. Microplastic fibers (MF) from treated syrup were incorporated by adult worker bees, remaining in their cuticle, digestive tract, larvae, honey, and wax. Most of the MF were accumulated in wax showing that honey remains as a safe food. At the end of the experiment, no differences in honey reserves or bee population were observed. This is the first study to evaluate in the field the effects and dynamics of MP inside honeybee hives. Our results showed that bees can incorporate MP from the environment and deliver them into the different matrices of the hive. Concentration of MF found in honey of treated hives was like that found in commercial honey, suggesting that honeybees might be exposed to similar MP contamination levels in the environment compared to our experiment. Finally, our results highlight a way in which MP might enter the food chain, with direct implication for human health.

Soybean yield is increased through complementary pollination by honey bees

Brazil is the major global soybean producer with ca. 40 million hectares grown annually. In recent years, there has been a growing interest by beekeepers to migrate their hives close to soybean fields, to allow honey bees, Apis mellifera L. 1758 (Hymenoptera – Apidae) to forage in. To understand the effect of honey bee pollination on the soybean yield, one experiment was set up in Londrina, Brazil, to assess the yield of soybeans and its components, whose flowers were visited by honey bees, compared to those not visited. The experiment was repeated for three consecutive years, during the 2017 to 2020 soybean growing seasons. Treatments consisted of (1) open plots, with free access by honey bees; (2) caged plots with a honey bee hive inside; and (3) caged plots with no access by honey bees or any other pollinator. Monitoring visits by honey bees to soybean flowers indicated consistent visits in open and caged plots with a beehive, and larger numbers of honey bees were observed visiting soybeans at 11 am. The average yield for the three years revealed a significant increase when honey bees had access to flowers: 5,565 kg/ha for caged plots with honey bees and 5,201 for open plots, compared to caged plots without honey bee hives, which yielded 4,926 kg/ha. The yield increase was mainly associated with the occurrence of more 3 and 4-seeded pods, a larger number of seeds/pod and seed weight, as well as a smaller number of pods with zero or one seed observed in treatments with the presence of honey bees, compared to the caged plots without beehives.

Comparative Study on Antioxidant Activity of Propolis of Apis mellifera from Different Regions of Nepal

Propolis is a waxy material obtained from honey bee hives. The physical and chemical property of this product is variable based on the source of hive, plant biodiversity where honeybee feed, season of collection, geographical origin etc. Propolis has several useful chemical compounds, and among them polyphenols are mainly contributing for their broad spectrum of medicinal quality such as antimicrobial, antifungal, antibacterial, and anti-inflammatory activities as well as antioxidant properties. The present study aims to analyze the ethanolic extract of propolis for their phenol and flavonoid content as well as its antioxidant characteristics. The samples (SPLs) were collected from farmers of six different locations of Nepal i.e. Jhapa, Lalitpur, Kathmandu, Banke and Chitwan districts. Total phenolic content (TPC) and total flavonoid content (TFC) were measured by Folin Ciocalteu method and the aluminum chloride method respectively expressed as the gallic acid (GAE) and quercetin (QE) and equivalent (GAE) per gram. The Diphenyl-Picrylhydrazyl (DPPH) assay method was used to evaluate the free radical scavenging activity. The antioxidant effect of propolis was reported in ascorbic acid equivalent antioxidant capacity per gram of propolis. The highest content of phenolic and flavonoid content was found in sample SPL 2. The range of these compounds' concentrations were from 127.36±5.50 mg GAE/gram to 242.7±4.50 mg GAE/gram. Similarly, total flavonoid content ranged from 1.3197±0.0261 QE mg/ grams to 5.3921±0.0261 QE mg/ grams. Whereas samples from SPL 2, and SPL 5 showed highest antioxidant properties. All samples were found to have strong antioxidant capacity which was greater than standard. It is concluded that there is no direct correlation on total antioxidant property of propolis with their total phenolic and total flavonoid content among collected samples. The phenolic characteristics of the samples were variable to the geographical location, and plant diversity of their origin.

Landscape-level honey bee hive density, instead of field-level hive density, enhances honey bee visitation in blueberry

ContextTo date, managing honey bees and wild bees within crop fields remains challenging. Landscape structure is often overlooked when studying the pollination contribution of honey bees. Increasing our understanding on how to predict honey bee visitation in crops is crucial for sustainable management of agroecosystems.ObjectivesWith this study we investigated which landscape and field-level variables determine honey bee and wild bee visitation, and whether honey bee or wild bee visitation influence crop pollination.MethodsSixteen highbush blueberry fields were surveyed for honey bees, wild bees, and crop pollination in Washington, USA. Additionally, within a radius of 1000 m around each field all honey bee hives were located and the surrounding landscape was characterized.ResultsHoney bee hive numbers in the landscape positively correlate with the proportion of blueberry in the landscape. Honey bee visitation was best predicted by landscape-level hive density within a radius of 1000 m, whereas semi-natural habitat and field-level hive density did not impact honey bee visitation. The amount of semi-natural habitat and blueberry within a radius of 1000 m had a positive and negative impact, respectively, on wild bee visitation. Honey bee visitation had a positive effect on blueberry seed set.ConclusionWe conclude that honey bee visitation is determined by the number of honey bee hives in the surrounding landscape. Hence, field-level hive density recommendations miss contributions from other hives in the landscape. Furthermore, semi-natural habitat did not impact honey bee visitation and contributes to diversifying pollinator diets and provides wild bee habitat.

Apiculture in Hittite cuneiform texts

The Hittite cuneiform texts dated to the 2nd millennium BCE contain some of the earliest information about the production of honey as an economic product and its consumption in daily life, as well as the theological perception of honey bees. Thanks to the information obtained from the texts, the material and spiritual role of apiculture have been tried to be revealed in this paper. According to laws, honey is a commercial product and is traded at a value. In addition, apiculture is a profession made with expert knowledge and the right of ownership of the honey bee colony and hive associated with this profession is legally protected. In the texts giving information about culinary knowledge, honey is added to bread as a sweetening product and used in the production of various sauces and some beverages. The aromatic properties of honey are also known. In this context, it is included in the mixtures used for incense in rituals. Also in rituals, some of its qualities were used in analogical spells. In mythological/religious texts, the honey bee is a creature that brings abundance and fertility in spring. In this context, it plays an important role in myths of finding the Disappearing Gods, the symbol of fertility. At the same time, it represents fertility, peace, and reconciliation as a creature associated with the Sun Goddess of the Earth, another symbol of fertility.

A short exposure to a semi-natural habitat alleviates the honey bee hive microbial imbalance caused by agricultural stress

Honeybee health and the species’ gut microbiota are interconnected. Also noteworthy are the multiple niches present within hives, each with distinct microbiotas and all coexisting, which we termed “apibiome”. External stressors (e.g. anthropization) can compromise microbial balance and bee resilience. We hypothesised that (1) the bacterial communities of hives located in areas with different degrees of anthropization differ in composition, and (2) due to interactions between the multiple microbiomes within the apibiome, changes in the community of a niche would impact the bacteria present in other hive sections. We characterised the bacterial consortia of different niches (bee gut, bee bread, hive entrance and internal hive air) of 43 hives from 3 different environments (agricultural, semi-natural and natural) through 16S rRNA amplicon sequencing. Agricultural samples presented lower community evenness, depletion of beneficial bacteria, and increased recruitment of stress related pathways (predicted via PICRUSt2). The taxonomic and functional composition of gut and hive entrance followed an environmental gradient. Arsenophonus emerged as a possible indicator of anthropization, gradually decreasing in abundance from agriculture to the natural environment in multiple niches. Importantly, after 16 days of exposure to a semi-natural landscape hives showed intermediate profiles, suggesting alleviation of microbial dysbiosis through reduction of anthropization.

Complex urban environments provide Apis mellifera with a richer plant forage than suburban and more rural landscapes.

Growth in the global development of cities, and increasing public interest in beekeeping, has led to increase in the numbers of urban apiaries. Towns and cities can provide an excellent diet for managed bees, with a diverse range of nectar and pollen available throughout a long flowering season, and are often more ecologically diverse than the surrounding rural environments. Accessible urban honeybee hives are a valuable research resource to gain insights into the diet and ecology of wild pollinators in urban settings. We used DNA metabarcoding of the rbcL and ITS2 gene regions to characterize the pollen community in Apis mellifera honey, inferring the floral diet, from 14 hives across an urban gradient around Greater Manchester, UK. We found that the proportion of urban land around a hive is significantly associated with an increase in the diversity of plants foraged and that invasive and non-native plants appear to play a critical role in the sustenance of urban bees, alongside native plant species. The proportion of improved grassland, typical of suburban lawns and livestock farms, is significantly associated with decreases in the diversity of plant pollen found in honey samples. These findings are relevant to urban landscape developers motivated to encourage biodiversity and bee persistence, in line with global bio-food security agendas.

Development of self-supporting catalyst based on bionic honeycomb communication channel from biomass cork waste for hydrogen evolution

It is a great challenge to achieve an efficient hydrogen evolution reaction (HER) in the alkaline medium. Multi-layer functional carbon can provide abundant anchor points for metal nanostructures, showing great potential in improving the catalytic activity of electrolyzed water in the alkaline medium. Inspired by honeybee hives, an efficient hydrogen evolution electrode (RuNi-LMH@NCNT/CW) is developed by structuring multi-directional N-doped carbon nanotubes on porous carbonized cork (CW), which encapsulates Ru/RuNi nanoparticles uniformly grown on NiO/Ni(OH)2 nanostructures. Interestingly, the whole encapsulation of NiO/Ni(OH)2 nanostructured doped Ru/RuNi nanoparticles by carbon nanotubes are obtained. The exposed active edges of multilayer porous nanostructures and the high conductivity of the carbonized cork jointly improve the electrocatalytic performance of HER. Specifically, the RuNi-LMH@NCNT/CW electrode shows an over potential as low as 67 mV, achieves excellent HER activity with a current density of 10 mA cm−2 in 1 M KOH solution, and illustrates a low Tafel slope of 41.3 mV dec−1, having excellent stability in alkaline medium. This study provides a bionic composite structure for electrolyzing water to produce hydrogen. In addition, to a certain extent, this study solves the problem that it is difficult to load active particles caused by the cork sealing cell structure.

Limited honeybee hive placement balances the trade-off between biodiversity conservation and crop yield of buckwheat cultivation

An increasing number of farmland initiatives aim to aid biodiversity conservation through alternative farming practices such as nature-inclusive farming. However, these approaches frequently lead to trade-offs between biodiversity conservation and crop yield. For example, buckwheat (Fagopyrum esculentum) is a melliferous crop that flowers for a long period in the summer when nectar in agricultural areas is generally scarce, and buckwheat cultivation could therefore contribute to wild pollinator conservation. However, honeybees (Apis mellifera) are placed to ensure sufficient crop pollination, which potentially increases resource competition with wild pollinators in and around the crop. Here, we have studied this trade-off by surveying pollinators in and around 16 small-scale (∼1 ha) flowering buckwheat fields and we determined the contribution of pollinator density to crop yield in a nature-inclusive farming project. We found that the buckwheat pollinator community was diverse, albeit dominated by honeybees. We found no clear indications of resource competition between honeybees and wild pollinators within the buckwheat fields. Honeybee density in the surroundings was generally low, and increased minimally during honeybee-hive placement. While densities of honeybees decreased non-linearly over the day in buckwheat fields, they did not (temporarily) move into the surroundings of the field, suggesting limited competition for resources with wild pollinators. Crop yield was largely dependent on crop pollinator density, notably of honeybees, and to a lesser extent crop biomass (as a proxy for agricultural management). Our results show that buckwheat cultivation fits well within nature-inclusive farming if some simple precautionary measures are being taken, such as limiting the honeybee-hive densities and placing hives only during the main flowering period. The introduction of buckwheat cultivation into crop rotation could then contribute to fill an important nectar gap in the summer, which potentially boosts wild pollinator populations in the long term.