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21 results for “beekeeping”
Fig. 1 in "Migratory beekeeping and its influence on the prevalence and dispersal of pathogens to managed and wild bees"
Fig. 1. Flow chart of the process of the systematic review on the different impacts of migratory beekeeping (MB), including the number of studies analysed at each step of the review process. Detailed data in Supplementary Table 1.
Fig. 2 in "Migratory beekeeping and its influence on the prevalence and dispersal of pathogens to managed and wild bees"
Fig. 2. Cumulative number of publications examining in general the impact of migratory beekeeping (blue dots) and in particular the prevalence of pathogens (orange dots) from 1990 to 2022. Exponential trend lines are represented by dashed lines. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Frontiers in effective control of problem parasites in beekeeping
Fig. 1. An adapted amalgamation of a leaf blower, propane gas heater, and oxalic acid vaporizer as developed by a commercial beekeeping operation to improve the economic viability of acute oxalic acid treatment of many hundreds of colonies. Devices such as this allow even large apiaries to be treated with minimal labour (relative to the wider of context of beekeeping), but rely on beekeeper-led innovation and potentially loose regulatory environments.
Figure 1 in First record of the beekeeping pest Aethina tumida Murray (Coleoptera: Nitidulidae) for Honduras
Figure 1. Aethina tumida from El Zamorano, Honduras, dorsal and ventral views. (Scale = 2.0 mm.)
Beekeepers relocate a bee colony
<p>A new bee colony invaded a residential home in alpine Switzerland. Beekeepers were called to relocate the bee colony.</p> <p>Recorded 20 June 2021.</p>
Misinformation, internet honey trading, and beekeepers drive a plant invasion
<p>Biological invasions are a major human induced global change that is threatening global biodiversity by homogenizing the world's fauna and flora. Species spread because humans have moved species across geographic boundaries and have changed ecological factors that structure ecosystems, such as nitrogen deposition, disturbance, etc. Many biological invasions are caused accidentally, as a byproduct of human travel and commerce driven product shipping. However, humans also have spread many species intentionally because of perceived benefits. Of interest is the role of the recent exponential growth in information exchange via internet social media in driving biological invasions. To date, this has not been examined. Here we show that for one such invasive species, goldenrod, social networks spread misleading and incomplete information that is enhancing the spread of goldenrod invasions into new environments. We show that the notion of goldenrod honey as a "superfood" with unsupported healing properties is driving a demand that leads beekeepers to produce goldenrod honey. Social networks provide a forum for such information exchange and this is leading to further spread of goldenrod in many countries where goldenrod is not native, such as Poland. However, this informal social information exchange ignores laws that focus on preventing the further spread of invasive species and the strong negative effects that goldenrod has on native ecosystems, including floral resources that negatively impact honeybee performance. Thus, scientifically unsupported information on "superfoods" such as goldenrod honey that is disseminated through social internet networks has real world consequences such as increased goldenrod invasions into novel geographical regions which decreases native biodiversity.</p>
Annotated dataset of microscope images of pollen grains in honey from 17 beekeeping taxa
<p><strong>Annotated dataset of microscope images of pollen grains in honey from 17 beekeeping taxa</strong></p><p>Melissopalynology is a method based on the separation of pollen grains present in honey and the identification of the plant species to which they belong. It is used to determine the botanical, but also the geographical origin of the honey, as well as its commercial value. For this reason, a database including microscope images and characteristics of pollen grains of 17 beekeeping taxa, usually present in honey samples, was created. </p><p>For the honey preparations the methodology of Louveaux et al. (1978) and Von Der Ohe et al. (2004) was followed. Specifically, 5.0 g of honey were weighed and dissolved in 10 ml of distilled water. The solution was centrifuged for 10 min at 2300 r/min. The supernatant solution was discarded and the precipitate was transferred with a disposable plastic Pasteur pipette onto a slide, where it was spread with the addition of fuchsin on a 22 x 22 mm surface. Staining with fuchsin helps to see in greater detail the morphological characteristics of the pollen grains. The preparation was dried by gentle heating to 40°C, on a heating plate and covered with a coverslip on which a small amount of Entellan adhesive (Merck) has been placed. The pollen grains were photographed on an optical microscope (Olympus SZX12), with lens 40× (Olympus DF PLAPO 1X DF) and a digital analysis camera (Olympus SC30), while a morphometry software (Image Pro Plus Software, V1.1.19) was used for their determination. For the microscopic identification of the pollen types, the collection of reference slides from the Laboratory of Apiculture of the Aristotle University of Thessaloniki, which is accredited to ISO 17025:2017, was used. </p><p>The dataset contains 1404 training captured microscope images of pollen grains from 17 major beekeeping taxa (class list can be found below) and 85 testing captured images. Polygon annotations were created using LabelMe software and saved in COCO Annotation format (train.json and val.json files). </p><p>Further information about the related project (SmartBeeKeep) can be found in the following article and presentation (please site if you use these data):</p><ul><li>Vasilios Liolios, Dimitrios Kanelis, Maria-Anna Rodopoulou, Chrysoula Tananaki (2023). A Comparative Study of Methods Recording Beekeeping Flora. Forests, 14(8), 1677; <a href="https://doi.org/10.3390/f14081677">https://doi.org/10.3390/f14081677</a> </li><li>Nikos Grammalidis, Andreas Stergioulas, Aggelos Avramidis, Konstantinos Karystinakis, Athanasios Partozis, Athanasios Topaloudis, Georgia Kalantzi, Chrisoula Tananaki, Dimitrios Kanelis, Vasilis Liolios, and Madesis Panagiotis "A smart beekeeping platform based on remote sensing and artificial intelligence", Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 127860C (21 September 2023); <a href="https://doi.org/10.1117/12.2681866%20">https://doi.org/10.1117/12.2681866</a> Event: Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023, Ayia Napa, Cyprus <a href="https://smartbeekeep.eu/files/rscyp23_sbk_paper.pdf">Author preprint available</a></li></ul><p><strong>Annotation - Latin name</strong></p><p>Myrtus - Myrtus communis</p><p>Brassicaceae - Brassicaceae</p><p>Cercis - Cercis siliquastrum</p><p>Helianthus annuus - Helianthus annuus</p><p>Lavandula - Lavandula angustifolia</p><p>Robinia pseudacacia - Robinia pseudoacacia</p><p>Olea - Olea europaea</p><p>Citrus - Citrus sp.</p><p>Paliurus - Paliurus spina-christi</p><p>Eucalyptus - Eucalyptus sp.</p><p>Polygonum - Polygonum aviculare</p><p>Carduus - Silybum marianum</p><p>Cistus - Cistus sp.</p><p>thymus - Thymus sp.</p><p>Castanea - Castanea sativa</p><p>erica - Erica manipuliflora</p><p>Gossypium - Gossypium hirsutum</p><p> </p>
Annotated dataset of pollen pellet images from 40 major beekeeping plants
<p>Pollen is the main source of proteins, amino acids, lipids, sterols, fatty acids, vitamins and other nutrients for honeybees. Knowing the pollinating plants of an area and identifying the incoming pollen sources inside the hive can be extremely useful information for beekeepers in controlling the development of their colonies and implementing appropriate manipulations throughout the year. Thus, a database was created, including images and characteristics of the pollen pellets of 40 major beekeeping plants. Bee pollen was collected from pollen traps, which were placed at the hive entrances of experimental bee colonies.</p><p>Freshly collected pollen was cleaned of foreign matter and placed -18 oC in glass jars until the time of analysis. Every 15 days a representative sample of 10% of the total quantity was separated mainly by color, shape and size in order to assess the contribution of each species. For the identification of pollen grains, the Louveaux method was used, according to which a small amount of pollen was placed on a slide and the pellets were dissolved with 2-3 drops of diethyl ether. After evaporation of the solvent, a drop of aqueous isoglucose solution (2:1) was added to hydrate the pollen grains and a drop of alcoholic fuchsin solution was added to stain them. The preparations were then placed on a hot plate to evaporate the moisture. This was followed by placement of a coverslip with Entellan to fix the preparation. The final preparation was examined under the microscope to identify the plant from which the pollen pellet came. For the microscopic identification of the pollen types, the collection of reference slides from the Laboratory of Apiculture of the Aristotle University of Thessaloniki, which is accredited to ISO 17025:2017, was used. Pollen pellets from the various taxa were placed on a special white plate to ensure a neutral background and to limit possible reflections as much as possible. Photographs were taken with smartphone cameras, in order to simulate the actual conditions of photography for potential users in the field.</p><p>The dataset contains 139 training captured images of bee pollen pellets from 40 major beekeeping plants (class list can be found below) and 13 testing captured images. Polygon annotations were created using LabelMe software and saved in COCO Annotation format (train.json and val.json files).</p><p>Further information about the related project (SmartBeeKeep) can be found in the following article and presentation (please site if you use these data):</p><ul><li>Vasilios Liolios, Dimitrios Kanelis, Maria-Anna Rodopoulou, Chrysoula Tananaki (2023). A Comparative Study of Methods Recording Beekeeping Flora. Forests, 14(8), 1677; <a href="https://doi.org/10.3390/f14081677">https://doi.org/10.3390/f14081677</a> </li><li>Nikos Grammalidis, Andreas Stergioulas, Aggelos Avramidis, Konstantinos Karystinakis, Athanasios Partozis, Athanasios Topaloudis, Georgia Kalantzi, Chrisoula Tananaki, Dimitrios Kanelis, Vasilis Liolios, and Madesis Panagiotis "A smart beekeeping platform based on remote sensing and artificial intelligence", Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 127860C (21 September 2023); <a href="https://doi.org/10.1117/12.2681866%20">https://doi.org/10.1117/12.2681866</a> Event: Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023, Ayia Napa, Cyprus <a href="https://smartbeekeep.eu/files/rscyp23_sbk_paper.pdf">Author preprint available</a></li></ul><p><strong>Annotation - Latin name</strong></p><p>Anthemis - Anthemis sp.</p><p>Asphodelus - Asphodelus fistulosus</p><p>Brassica napus - Brassica napus</p><p>Castanea sativa - Castanea sativa</p><p>Cephalaria transsylvanica - Cephalaria transsylvanica</p><p>Chenopodium album - Chenopodium album</p><p>Cichorium - Cichorium intybus</p><p>Cistus - Cistus creticus</p><p>Cistus salvifolius - Cistus salvifolius</p><p>Convolvulus - Convolvulus arvensis</p><p>Daucus - Daucus carota</p><p>Echium - Echium plantagineum</p><p>Erica - Erica manipuliflora</p><p>Hedera helix - Hedera helix</p><p>Helianthus - Helianthus annuus</p><p>Heliotropium - Heliotropium europaeum</p><p>Hypericum - Hypericum perforatum</p><p>Lavandula - Lavandula angustifolia</p><p>Ligustrum - Ligustrum japonicum</p><p>Matricaria - Matricaria chamomilla</p><p>Olea_europaea_9cm - Olea europaea</p><p>Paliurus - Paliurus spina-christi</p><p>Papaver - Papaver rhoeas</p><p>Pinus - Pinus sp.</p><p>Polygonum_aviculare - Polygonum aviculare</p><p>Portulaca - Portulaca oleracea</p><p>Pyrus - Pyrus spinosa</p><p>Quercus - Quercus coccifera</p><p>Rosmarinus - Rosmarinus officinalis</p><p>Rubus - Rubus ulmifolius</p><p>Carduus - Silybum marianum</p><p>sinapis - Sinapis arvensis</p><p>Sonchus - Sonchus asper</p><p>Taraxacum - Taraxacum officinale</p><p>Tamarix - Tamarix sp.</p><p>Tilia - Tilia sp.</p><p>Tribulus - Tribulus terrestis</p><p>Trifolium pratensis - Trifolium campestre</p><p>Verbascum - Verbascum nigrum</p><p>Vicia - Vicia villosa</p>
Entrepreneurship and Beekeeping in Tanzania
ClinicalTrials.gov study NCT04602416. IPD Sharing: YES. Countries: 1. Publications: 5.
Misinformation, internet honey trading, and beekeepers drive a plant invasion
Open the record for dataset details and reuse information.
Beekeeping improves shea pollination and fruit set in West African Agroforestry parklands
<p>Shea (<em>Vitellaria paradoxa</em> C.F Gaertn) is a fruit tree of domestic and industrial importance in arid and semi-arid regions of Sub-Saharan Africa. Fruit set is largely dependent on insect pollination but recent studies have revealed a pollen deficit. Introduction of managed bees into orchards is an effective approach for enhanced pollination services in temperate climates. However, there is limited information to guide the adoption of this practice in shea agroforestry parklands.</p> <p>This study investigated the effect of managed honey bee colonies (<em>Apis mellifera</em>) on fruit yield in six shea parklands across three regions of Ghana.</p> <p>Tree proximity to the apiary had a detectable effect on fruit set within a 500 m range of the apiary. Proximity of shea trees to apiary was significantly related to number of immature fruit set but not number of mature fruits. Fruit weight and size were not significantly related to distance from apiary nor pollination treatment.</p> <p>This implies that the introduction of beekeeping has the potential to address shea pollination deficit at least within a 500 m range of the apiary. Further studies are needed to determine the optimal hive density per acreage of shea parkland to maximise pollination services.</p>
Data for: A survey of UK beekeeper's Varroa treatment habits
<p><span>The global spread of the parasitic mite <em>Varroa</em> <em>destructor</em> instigated a substantial decline in both managed and feral honeybee (<em>Apis</em> <em>mellifera</em>) colonies mainly across the Northern hemisphere. In response, many beekeepers began to treat their colonies with chemical acaricides to control mite populations in managed colonies. However, some countries or beekeepers allowed their bees to develop mite-resistance by adopting a "treatment-free" approach, rather than using selective breeding programs. Yet, the distribution and proportion of beekeepers either treating or not within the United Kingdom (UK) are unknown, as it is in most Northern hemisphere countries. Therefore, the aim of this study was to conduct a beekeeper survey to determine the current treatment strategies within the UK. We </span><span>gathered </span>2,872 <span>beekeeper responses from an estimated 30,000 UK beekeepers belonging to 242 bee-associations in the winter of 2020/21. The survey indicated that the majority (72–79%) of UK </span><span>beekeepers are still treating their bees for Varroa, typically twice-yearly using chemical-based methods. Six percent or 1,800 UK beekeepers were treatment-free for six years or more. This is reflected by our finding that </span><span>78 associations out of 242 consist of responders who </span>entirely <span>treated, while</span> only four associations had more than 75% of<span> their members that were non-treating.</span> <span>Overall treatment status was not affected by association currently</span><span>. Using the baseline data from this survey it will be possible in the future to observe if a shift towards treatment-free beekeeping occurs or not. </span></p>
Annotated dataset of microscope images of pollen grains from 40 beekeeping taxa
<p>The study of beekeeping flora and the analysis and identification of pollen collected by bees are important tools for beekeepers and researchers seeking to understand bee feeding habits and assess the ecological interactions between bees and plants. To identify the botanical origin of the pollen pellets collected by the bees, palynology method is mainly followed.</p><p>Pollen grains show great diversity, in terms of size, shape, symmetry and surface, as well as in terms of the number and type of their openings (apertures). They often present openings on their outer surface, serving as excellent diagnostic characters, as they show stability in their form and number. The most common types of openings are the pores, the sinuses, and the combination of the above, the anal canals. Pollen grains with pores are characterized as porate, those with sinuses as colpate, if they contain both as colporate. Depending on the number of openings, corresponding prefixes such as mono-, di-, tri- etc. precede the above terms. Also, the position of the openings, whether they are at the poles or in the equatorial zone, as well as their shape, are taken also into account.</p><p>Pollen size can be used as a diagnostic feature, but it shows great variability even within the same pollen grain. This is because it can be affected by various factors such as chemical treatment and the materials used in the creation of the preparations, genetic variability, etc. Specifically, a frequent phenomenon is the shrinking of pollen grains (harmomegathy or Wodehouse effect) resulting from the change in the bursting pressure of the cytoplasm during the hydration or dehydration of the pollen. Therefore, the degree of hydration is responsible for the actual shape and size of the pollen grains.</p><p>Considering all the above, a database was created including microscope images and characteristics (such as the type of pollen grain, the size, the type and number of openings, etc) of 40 taxa of major beekeeping importance.</p><p>Pollen in the form of pellets was crushed and a small amount was taken with special stainless steel forceps and then mixed with a drop of 20% glucose solution on a slide. Fuchsin solution was added and the preparation was spread over a 22 x 22 mm surface. The preparations were dried by gentle heating to 40°C, on a heating plate and a cover slip is placed to which a small amount of Entellan was added. All pollen grains were photographed on an optical microscope (Olympus SZX12), with lens 40× (Olympus DF PLAPO 1X DF), with a digital analysis camera (Olympus SC30), while a morphometry software (Image Pro Plus Software, V1.1.19) was used for their determination. For the microscopic identification of the pollen types, the collection of reference slides from the Laboratory of Apiculture of the Aristotle University of Thessaloniki, which is accredited to ISO 17025:2017, was used.</p><p>The dataset contains 3379 training captured microscope images of pollen grains from 40 major beekeeping taxa (class list can be found below) and 85 testing captured images. Polygon annotations (files train.json and val.json included) were created using LabelMe software and saved in COCO Annotation format.</p><p>Further information about the related project (SmartBeeKeep) can be found in the following article and presentation (please site if you use these data):</p><ul><li>Vasilios Liolios, Dimitrios Kanelis, Maria-Anna Rodopoulou, Chrysoula Tananaki (2023). A Comparative Study of Methods Recording Beekeeping Flora. Forests, 14(8), 1677; <a href="https://doi.org/10.3390/f14081677">https://doi.org/10.3390/f14081677</a> </li><li>Nikos Grammalidis, Andreas Stergioulas, Aggelos Avramidis, Konstantinos Karystinakis, Athanasios Partozis, Athanasios Topaloudis, Georgia Kalantzi, Chrisoula Tananaki, Dimitrios Kanelis, Vasilis Liolios, and Madesis Panagiotis "A smart beekeeping platform based on remote sensing and artificial intelligence", Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 127860C (21 September 2023); <a href="https://doi.org/10.1117/12.2681866%20">https://doi.org/10.1117/12.2681866</a> Event: Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023, Ayia Napa, Cyprus <a href="https://smartbeekeep.eu/files/rscyp23_sbk_paper.pdf">Author preprint available</a></li></ul><p><strong>Annotation - Latin name</strong></p><p>Anthemis - Anthemis sp.</p><p>Asphodelus - Asphodelus fistulosus</p><p>Brassica napus - Brassica napus</p><p>Castanea - Castanea sativa </p><p>Cephalaria - Cephalaria transsylvanica</p><p>Chenopodium - Chenopodium album</p><p>Cichorium intybus - Cichorium intybus</p><p>Cistus - Cistus creticus</p><p>Cistus salvifolius - Cistus salvifolius</p><p>Convolvulus - Convolvulus arvensis</p><p>Daucus - Daucus carota</p><p>Echium - Echium plantagineum</p><p>Erica - Erica manipuliflora</p><p>Hederahelix - Hedera helix</p><p>Helianthus - Helianthus annuus</p><p>Heliotropium - Heliotropium europaeum</p><p>Hypericum - Hypericum perforatum</p><p>Lavandula - Lavandula angustifolia</p><p>Ligustrum - Ligustrum japonicum</p><p>Matricaria - Matricaria chamomilla</p><p>Olea - Olea europaea</p><p>Paliurus - Paliurus spina-christi</p><p>Papaver - Papaver rhoeas</p><p>Pinus - Pinus sp.</p><p>Polugonum - Polygonum aviculare</p><p>Portulaca - Portulaca oleracea</p><p>Pyrus spinosa - Pyrus spinosa</p><p>Quercussp - Quercus coccifera</p><p>Rosmarinus officinalis - Rosmarinus officinalis</p><p>Rubus - Rubus ulmifolius</p><p>Silybum marianum - Silybum marianum</p><p>Sinapis - Sinapis arvensis</p><p>sonchus - Sonchus asper</p><p>Taraxacum officinale - Taraxacum officinale</p><p>Tamarix - Tamarix sp.</p><p>Tilia intermedia - Tilia sp.</p><p>Tribulus - Tribulus terrestis</p><p>Trifolium - Trifolium campestre</p><p>Verbascum - Verbascum nigrum</p><p>Vicia vilosa - Vicia villosa</p>
Impacts of beekeeping on wild bee diversity and pollination networks in the Aegean Archipelago
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Data for: A survey of UK beekeeper’s Varroa treatment habits
Open the record for dataset details and reuse information.
Beekeeping improves shea pollination and fruit set in West African Agroforestry parklands
Open the record for dataset details and reuse information.
Figure 5 from: Engel M, Alqarni A, Hannan M, Owayss A (2011) The indigenous honey bees of Saudi Arabia (Hymenoptera, Apidae, Apis mellifera jemenitica Ruttner): Their natural history and role in beekeeping. ZooKeys 134: 83-98. https://doi.org/10.3897/zookeys.134.1677
Figure 5 - Distribution of Apis mellifera jemenitica Ruttner in the Arabian Peninsula and northeastern Africa.
Figures 1-4 from: Engel M, Alqarni A, Hannan M, Owayss A (2011) The indigenous honey bees of Saudi Arabia (Hymenoptera, Apidae, Apis mellifera jemenitica Ruttner): Their natural history and role in beekeeping. ZooKeys 134: 83-98. https://doi.org/10.3897/zookeys.134.1677
Figures 1-4 - Bees and beekeeping in Saudi Arabia. 1 A historical apiary with traditional hives of Saudi Apis mellifera jemenitica Ruttner maintained over 500 years by the same family in Taif (there are many such apiaries in the area, with beekeepers maintaining these as a family tradition over numerous generations; honey from such apiaries is much costlier than those managed in Langstroth hives) 2 Entrance to a hive of Apis mellifera jemenitica in Taif 3 A traditional log hive of Apis mellifera jemenitica in Taif 4 Photograph showing size and other morphological differences between Apis mellifera jemenitica and Apis mellifera carnica Pollmann.
Anonymised survey data of beekeepers' perception of the PoshBee tool (Horizon EU PoshBee project).
<p>Anonymised data collected to investigate beekeepers' perceptions toward a new PoshBee tool (PoshBee EU project, funded by Horizon EU).</p>
Tolerance in Beekeepers
ClinicalTrials.gov study NCT06156046. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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OpenNeuro
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