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562 results for “bumblebee”
Fig. 3 in A new species of bumblebee catfish of the genus Microglanis (Siluriformes: Pseudopimelodidae) from the upper rio Paraguay basin, Brazil
Fig. 3. Geographic distribution of Microglanis leniceae in states of Mato Grosso (MT) and Mato Grosso do Sul (MS) (yellow star = type locality). Brazilian states acronyms: GO = Goiás; SP = São Paulo.
Fig. 2 in A new species of bumblebee catfish of the genus Microglanis (Siluriformes: Pseudopimelodidae) from the upper rio Paraguay basin, Brazil
Fig. 2. Dorsal view of right pectoral-fin spine of holotype (ZUFMS 4148, 33.0 mm SL) of Microglanis leniceae, from the upper rio Paraguay basin, Mato Grosso State, Brazil. Scale bar = 1 mm.
Supplementary material for: Interindividual variability in flower pickiness by foraging bumblebees
<h3>ABSTRACT</h3> <p><span lang="EN-GB"> Pollinators navigate complex and heterogeneous “flower markets”, where floral resources vary in quality, availability, and spatial distribution. Bumblebees, as generalist foragers, visit numerous flowers during their foraging bouts, yet the factors influencing their flower choices and the individual differences in foraging behaviour remain poorly understood. Here, we tested how bees adjust their foraging in response to different reward structures. <em>Bombus terrestris</em> workers completed three foraging bouts in two artificial flower environments: one simulating a favourable environment with patches alternating high- and low-quality flowers (40% vs. 20% w/w sucrose solution), and the other a challenging environment with high-quality flowers alongside unrewarded ones (40% w/w sucrose solution vs. plain water). We hypothesised that bees would improve their foraging efficiency in both environments, but more rapidly in the more extreme one, where the greater reward difference creates stronger pressure to learn quickly. In both conditions, bees increased their sucrose intake per unit time over bouts. We also observed consistent differences in flower selectivity among individuals: in the favourable environment, bees that first visited high-quality flowers focused on them and avoided low-quality ones (became “picky”), while bees that first visited low-quality flowers kept visiting both types. Despite these differences, bees across environments and pickiness levels all reached similar sucrose intake rates by the third foraging bout, either by becoming more selective, collecting more sucrose solution, or reducing time spent foraging. These findings highlight the adaptability of bee foraging and suggest that early flower experiences may contribute to lasting individual differences in foraging behaviour.</span></p>
Fig. 3 in Cephalic labial gland secretions of males as species recognition signals in bumblebees: are there really geographical variations in the secretions of the Bombus terrestris subspecies? (Hymenoptera: Apidae: Bombus)
Fig. 3: Map with pie charts for the eight, probably 'active', compounds ('active' compounds = 100 %), illustrating the composition of labial gland secretions of B. terrestris.
Fig. 1 in Cephalic labial gland secretions of males as species recognition signals in bumblebees: are there really geographical variations in the secretions of the Bombus terrestris subspecies? (Hymenoptera: Apidae: Bombus)
Fig. 1: Linear regression of the percentage of the total peak area of 2,3-dihydrofarnesol dodecanoate vs. 2,3-dihydrofarnesol for males of B. terrestris terrestris (Ter-07) aged 14 days (●) and 21 days (▲) old; see Table 2 for details.
Supplementary material for: Testing the peak-end rule in bumblebees: lack of preference for a higher-reward sequence when the final reward is disappointing
<h3>ABSTRACT</h3> <p>The peak-end rule describes the tendency to evaluate experiences by their most intense and final moments, rather than considering the entire experience as a whole. While this cognitive bias is well-established in humans, studies on nonhuman animals are very limited. Bumblebees make foraging decisions largely based on past experiences, but whether peak-end effects influence their subsequent flower choices is still unknown. Here, we trained individual <em>Bombus terrestris</em> workers on two artificial flower types, blue and yellow, over 12 consecutive foraging bouts. One flower type offered a sequence of three high-quality rewards (25 μL drops of 50% w/w sucrose solution: “consistent” sequence), while the other provided the same sequence but ended with an additional, lower-quality reward (25 μL drop of 20% w/w sucrose solution: “poor end” sequence). We then tested the bees' flower type preference in a final binary choice. Bees showed a strong preference for blue flowers, both in their initial and overall visits. Across all visits during a 1-minute period, they also favoured flowers associated with the “consistent” sequence, though this preference was significant only when these flowers were yellow. Interestingly, despite offering more sucrose per foraging bout, bees did not favour the “poor end” sequence flower. This study is, to our knowledge, the first to investigate peak-end effects in an insect. How bees evaluate sequential rewards when foraging remains largely unexplored, yet could provide valuable insights into nectar distribution and plant-pollinator co-evolution.</p>
Species-specific differences in bumblebee worker body size between elevations: Implications for pollinator community structure under climate change
<p>Code and dataset for manuscript titled "<span>Species-specific differences in bumblebee worker body size between elevations: Implications for pollinator community structure under climate change". Authors: Caterina Massa, Janneke Hille Ris Lambers, Sarah K. Richman. Manuscript accepted to Journal of Pollination Ecology in May 2024. All data collected and analyzed by the authors.<br></span></p>
Ten-a-day: bumblebee pollen loads reveal high consistency in foraging breadth among species, sites, and seasons
<p>Pollen and nectar are crucial resources for bees, but vary greatly amongst plant species in their quantity, nutritional quality, and timing of availability. This makes it challenging to identify an appropriate range of plants to meet the nutritional needs of pollinators through the year, though this information is important in the design of pollinator conservation schemes.</p> <p>Using DNA metabarcoding of pollen loads, we record the floral resource use of UK farmland bumblebees at different stages of their colony lifecycle, and compare this with null models of 'expected' resource use based on landscape-scale resource availability (pollen and nectar), to identify foraging priorities and preferences. We use this approach to ask three main questions: i) what is the foraging breadth of individual bumblebees?; ii) do bumblebees utilise a greater or lesser diversity of plant species than expected if they foraged in proportion to resource availability?; iii) which plant species do bumblebees preferentially utilise?</p> <p>Individual bumblebees foraged from a highly consistent number of different plant taxa (mean: 10 ±0.37 SE per bee), regardless of their species, sampling site, or time of year. This high consistency in foraging breadth, despite large changes in the quantity, identity, and diversity of resource availability, implies a strong behavioural tendency towards a fixed range of foraging resources. This effect was most striking in April when foraging diversity was maintained despite very low landscape-level resource diversity.</p> <p>Bumblebees used some plant taxa significantly more than predicted from their landscape-level floral abundance, nectar, or pollen supply, implying certain desirable characteristics beyond the mere quantity of resource. These included <em>Allium</em> spp. and <em>Vicia</em> spp. in April; <em>Trifolium repens</em> and <em>Lotus corniculatus</em> in July; and <em>Cynareae</em> spp. (thistles) and <em>Taraxacum officinale</em> in September.</p> <p>Our results strongly indicate that resource quantity is not the only factor driving bumblebee foraging patterns, and that resource diversity and quality are also important factors. Thus, in addition to providing large quantities of floral resources, we recommend that pollinator conservation schemes also focus on providing a sufficient diversity of preferred floral resources, enabling pollinators to self-select a diverse and nutritious diet.</p>
FIGURE 1 in Development of microsatellite loci and population genetics in the bumblebee catfish species Pseudopimelodus atricaudus and Pseudopimelodus magnus (Siluriformes: Pseudopimelodidae)
FIGURE 1 | Sampling sites of Pseudopimelodus magnus and P. atricaudus in the middle and lower sectors of the Cauca River.
Figure 1 in Discovery of a Nearctic vicariant bumblebee (Hymenoptera: Apidae) in Eurasia uncovers secondary trans-Beringian exchanges of insect faunas
Figure 1. Distribution map of Bombus kirbiellus Curtis 1835. The red circles indicate new samples from Asia (this study; N = 3); the blue circles indicate published records from North America (GBIF Secretariat 2023; GBIF Occurrence Download: https://doi.org/10.15468/dl.ck3xk3; N = 185). Map: Mikhail Y. Gofarov.
Figure 2 in Discovery of a Nearctic vicariant bumblebee (Hymenoptera: Apidae) in Eurasia uncovers secondary trans-Beringian exchanges of insect faunas
Figure 2. Morphology of Bombus kirbiellus Curtis 1835 from north-eastern Asia (Chukotka Peninsula). (A) Lateral view of a female. (B) Hind view of a female. (C) Lateral view of a male. (D) Hind view of a male. (E) Male genitalia. Scale bars = 5 mm (A, B, C, D) and 2 mm (E). (Photos: Grigory S. Potapov).
Linked collectors and determiners for: Updated list of bumblebees (Hymenoptera: Apidae) from the Spanish Pyrenees with notes on their decline and conservation status.
Natural history specimen data linked to collectors and determiners held within, "Updated list of bumblebees (Hymenoptera: Apidae) from the Spanish Pyrenees with notes on their decline and conservation status". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a084a6c4-252b-4a5d-9dd4-af6c3515d7a7">https://bionomia.net/dataset/a084a6c4-252b-4a5d-9dd4-af6c3515d7a7</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a084a6c4-252b-4a5d-9dd4-af6c3515d7a7">https://gbif.org/dataset/a084a6c4-252b-4a5d-9dd4-af6c3515d7a7</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Standardized Bumblebee (Bombus) Surveys in Vermont.
Natural history specimen data linked to collectors and determiners held within, "Standardized Bumblebee (Bombus) Surveys in Vermont". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b31d76f9-c6ff-4324-9984-c6bd8a1938c9">https://bionomia.net/dataset/b31d76f9-c6ff-4324-9984-c6bd8a1938c9</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b31d76f9-c6ff-4324-9984-c6bd8a1938c9">https://gbif.org/dataset/b31d76f9-c6ff-4324-9984-c6bd8a1938c9</a>. Formatted as a Frictionless Data package.
BEE-STEWARD: a research and decision support software for effective land management to promote bumblebee populations
<p><span><span>The demand for agent-based models to explore the effects of environmental change on pollinator population dynamics is growing. However, models need a simple yet flexible interface to enable adoption by a wide range of stakeholders. </span></span><span><span>We introduce BEE-STEWARD: a research and decision-support software tool, enabling researchers, policy-makers, land management advisors, and practitioners to predict and compare the effects of bee-friendly management interventions on bumblebee populations over several years. </span></span><span><span>BEE-STEWARD integrates the BEESCOUT and <i>Bumble</i>-BEEHAVE agent-based models of bumblebee behaviour, colony growth and landscape exploration into a user-friendly interface, with reconstructed code, and expanded functionality. Bespoke automatic reports can be created to illustrate how different land management interventions can affect the densities of bumblebees and their colonies over time. </span></span><span><span>BEE-STEWARD could be an important virtual test-bed for scientists exploring the impacts of different stressors on bumblebees and used by those with little or no modelling experience, enabling a shared methodology between research, policy, and practice.</span></span></p>
Figure 5 in Redescription of the female of bumblebee-associated gamasid mite Proctolaelaps sibiriensis (Davydova, 1988) (Acari: Mesostigmata: Melicharidae) from North Asia
Figure 5 Micrographs ofProctolaelapsspp., females: A – Proctolaelaps sibiriensis(Davydova, 1988), dorsal view; B – Proctolaelaps sibiriensis (Davydova, 1988), ventral view; C – Proctolaelaps ornatus(Postner, 1963), dorsal view; D – Proctolaelaps ornatus(Postner, 1963), ventral view. Scale bar: 100 μm.
Figure 4 in Redescription of the female of bumblebee-associated gamasid mite Proctolaelaps sibiriensis (Davydova, 1988) (Acari: Mesostigmata: Melicharidae) from North Asia
Figure 4 Proctolaelaps sibiriensis(Davydova, 1988), female: A – leg I, ventral view; B – leg II, ventral view; C – leg III, ventral view; D – leg IV, ventral view. Scale bar: 100 μm.
Figure 3 in Redescription of the female of bumblebee-associated gamasid mite Proctolaelaps sibiriensis (Davydova, 1988) (Acari: Mesostigmata: Melicharidae) from North Asia
Figure 3 Proctolaelaps sibiriensis(Davydova, 1988), female: A – epistome; B – subcapitulum and palp (from trochanter to genu), ventral
Figure 1 in Redescription of the female of bumblebee-associated gamasid mite Proctolaelaps sibiriensis (Davydova, 1988) (Acari: Mesostigmata: Melicharidae) from North Asia
Figure 1 Proctolaelaps sibiriensis(Davydova, 1988), female: idiosoma, dorsal view. Scale bar: 100 μm.
Figure 2 in Redescription of the female of bumblebee-associated gamasid mite Proctolaelaps sibiriensis (Davydova, 1988) (Acari: Mesostigmata: Melicharidae) from North Asia
Figure 2 Proctolaelaps sibiriensis(Davydova, 1988), female: idiosoma, ventral view. Scale bar: 100 μm.
Visual Tracking of Entire Bumblebee Colonies Using Novel Pipeline Finds No Evidence of Gut-Brain Axis (Replicates 1, 2)
<p>This archive contains raw data processed from video files taken of bumblebee colonies during replicates 1 and 2 of a study on the effect of the gut microbiome on social behaviour. Files ending with "_raw.csv" contain data on read tags, while ones ending with "_noID.csv" contain data on potential tags. Files are named as follows: R[replicate number][Baseline/Data][Day]R[recording session][HiveID][VideoID]</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.