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153 results for “bee pollination”
Neutral processes related to regional bee commonness and dispersal distances are important predictors of plant-pollinator networks along gradients of climate and landscape conditions
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Data from: Pollination efficiency and effectiveness of a male mining bee (Andrena)
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Rare and declining bee species are key to consistent pollination of wildflowers and crops across large spatial scales
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Data from: Climatic conditions and landscape diversity predict plant-bee interactions and pollen deposition in bee-pollinated plants.
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Data from: A few essential genetic loci distinguish Penstemon species with flowers adapted to pollination by bees or hummingbirds
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Data and Code from Pritchard & Vallejo-Marin (2020) "Floral vibrations by buzz-pollinating bees achieve higher frequency, velocity and acceleration than flight and defence vibrations"
<p>Data and Code from Pritchard & Vallejo-Marin (2020) "Floral vibrations by buzz-pollinating bees achieve higher frequency, velocity and acceleration than flight and defence vibrations" Journal of Experimental Biology. doi: 10.1242/jeb.220541</p>
Data from: Flight of the bumble bee: buzzes predict pollination services
Multiple interacting factors drive recent declines in wild and managed bees, threatening their pollination services. Widespread and intensive monitoring could lead to more effective management of wild and managed bees. However, tracking their dynamic populations is costly. We tested the effectiveness of an inexpensive, noninvasive and passive acoustic survey technique for monitoring bumble bee behavior and pollination services. First, we assessed the relationship between the first harmonic of the flight buzz (characteristic frequency) and pollinator functional traits that influence pollination success using flight cage experiments and a literature search. We analyzed passive acoustic survey data from three locations on Pennsylvania Mountain, Colorado to estimate bumble bee activity. We developed an algorithm based on Computational Auditory Scene Analysis that identified and quantified the number of buzzes recorded in each location. We then compared visual and acoustic estimates of bumble bee activity. Using pollinator exclusion experiments, we tested the power of buzz density to predict pollination services at the landscape scale for two bumble bee pollinated alpine forbs (Trifolium dasyphyllum and T. parryi). We found that the characteristic frequency was correlated with traits known to affect pollination efficacy, explaining 30-52% of variation in body size and tongue length. Buzz density was highly correlated with visual estimates of bumble bee density (r = 0.97), indicating that acoustic signals are predictive of bumble bee activity. Buzz density predicted seed set in two alpine forbs when bumble bees were permitted access to the flowers, but not when they were excluded from visiting. Our results indicate that acoustic signatures of flight can be deciphered to monitor bee activity and pollination services to bumble bee pollinated plants. We propose that applications of this technique could assist scientists and farmers in rapidly detecting and responding to bee population declines.
Data from: Convergent changes in gene expression associated with repeated transitions between hummingbird and bee pollinated flowers
<p>Transcriptomic data for 6 Gesneriaceae species (<strong><em>Nemathanthus albus </em>-NA-,<em> N. fritchii </em>-NF-<em>, Sinningia eumorpha </em>-SE-<em>, S. magnifica </em>-SM-<em>, Vanhouttea calcarata </em>-VC-<em>, Paliavana tenuiflora </em>-PV-</strong>), presented in "Convergent changes in gene expression associated with repeated transitions between hummingbird and bee pollinated flowers". For each species, transcriptomes were obtained from RNA collected from flowers at three different developmental stages.</p> <p>The following files are availables:</p> <p><strong>Trimmed_Species_Trinity.fasta:</strong> Transcriptome assembly of the species in fasta format. The transcriptomes were obtained from RNA-Seq (Illumina paired-end reads) of three different floral developmental stages. For more information, please refer to the publication.</p> <p><strong>ORF_AllSpecies_Pep.fasta</strong>: Predicted protein sequences for each transcript of each species.</p> <p><strong>ORF_AllSpecies_CDS.fasta</strong>: Predicted coding sequences (CDS) for each transcript of each species.</p> <p><strong>BLASTP_allgenes6species.FINAL.txt</strong>: Blastp annotation for each transcript of each species.</p> <p><strong>BLASTX_allgenes6species.FINAL.txt: </strong>Blastx annotation for each transcript of each species.</p> <p><strong>groups.txt </strong>: Orthologous groups (OG) between the six species obtained with OrthoMCL. For more information, please refer to the publication.</p> <p><strong>1to1_OG.txt</strong>: Obtained single-copy orthologs (1-to-1 orthologous groups) between the six species</p> <p><strong>OG_and_genes.txt : </strong>link between orthologous groups and genes ID for each species.</p> <p>For more information, please refer to the publication.</p>
Pollinator community predicts trait-matching between oil-producing flowers and a guild of oil-collecting bees
<p>The impact of pollinator community diversity on trait-matching in plant-pollinator interactions is poorly studied, even though many mutualisms involve multiple interaction partners. We studied ten communities in which one to three species of oil-collecting <i>Rediviva</i> bee pollinate the<i> </i>long-spurred, oil-producing flowers of <i>Diascia 'floribunda'</i> to examine how pollinator diversity affects covariation of functional traits across sites and trait-matching within sites. Floral spur-length was significantly correlated with weighted grand mean foreleg length of the local bee community but not with foreleg length of individual bee species. The closeness of trait-matching varied among populations and was inversely related to pollinator community diversity. For all bee species, trait-matching was closest at sites characterized by exclusive, pairwise interactions. Reduced trait-matching associated with increased community diversity for individual pollinator species, but close matching at the community level support the importance of community context for shaping interacting traits of flowers and pollinators.</p>
Data for: Honey bees (Apis mellifera) modify plant-pollinator network structure, but do not alter wild species' interactions
<p>Honey bees (<em>Apis mellifera</em>) are widely used for honey production and crop pollination, raising concern for wild pollinators, as honey bees may compete with wild pollinators for floral resources. The first sign of competition, before changes appear in wild pollinator abundance or diversity, may be changes to wild pollinator interactions with plants. Such changes for a community can be measured by looking at changes to metrics of resource use overlap in plant-pollinator interaction networks. Studies of honey bee effects on plant-pollinator networks have usually not distinguished whether honey bees alter wild pollinator interactions, or if they merely alter total network structure by adding their own interactions. To test this question, we experimentally introduced honey bees to a Canadian grassland and measured plant-pollinator interactions at varying distances from the introduced hives. We found that honey bees increased the network metrics of pollinator and plant functional complementarity and decreased interaction evenness. However, in networks constructed from just wild pollinator interactions, honey bee abundance did not affect any of the metrics calculated. Thus, all network structural changes to the full network (including honey bee interactions) were due only to honey bee-plant interactions, and not to honey bees causing changes in wild pollinator-plant interactions. Given widespread and increasing use of honey bees, it is important to establish whether they affect wild pollinator communities. Our results suggest that honey bees did not alter wild pollinator foraging patterns in this system, even in a year that was drier than the 20-year average.</p>
Data from: The contributions of flower strips to wild bee conservation in agricultural landscapes can be predicted using pollinator habitat suitability models
<p>Sowing flower strips along field edges is a widely adopted method for conserving pollinating insects in agricultural landscapes. To maximize the effect of flower strips given limited resources, we need spatially explicit tools that can prioritize their placement, and for identifying plant species to include in seed mixtures.</p> <p>We sampled bees and plant species as well as their interactions in a semi-controlled field experiment with roadside/field edge pairs with/without a sown flower strip at 31 sites in Norway and used a regional spatial model of solitary bee species richness to test if the effect of flower strips on bee species richness was predictable from the modelled solitary bee species richness.</p> <p>We found that sites with flower strips were more bee species rich compared to sites without flower strips and that this effect was greatest in areas that the regional solitary bee species richness model had identified to be particularly important for bees. Spatial models revealed that even within small landscapes there were pronounced differences between field edges in the predicted effect of sowing flower strips.</p> <p>Of the plant species that attracted the most bee species, the majority mainly attracted bumblebees and only few species also attracted solitary bees. Considering both the taxonomic diversity of bees and the species richness of bees attracted by plants we suggest that seed mixes containing <em>Hieracium </em>spp. such as <em>Hieracium umbellatum </em>and <em>Pilosella officinarum</em>; <em>Taraxacum</em> spp; <em>Trifolium repens</em>;<em> Lotus corniculatus</em>; S<em>tellaria graminea</em>; and <em>Achillea millefolium</em> would provide resources for diverse bee communities in our region.</p> <p>Spatial prediction models of bee diversity can be used to identify locations where flower strips are likely to have the largest effect and can thereby provide managers with an important tool for prioritizing how funding for agri-environmental schemes such as flower strips should be allocated. Such flower strips should contain plant species that are attractive to both solitary and bumblebees, and do not need to be particularly plant species rich as long as the selected plants complement each other.</p>
Data from: Macroevolution of floral scent chemistry across radiations of male euglossine bee-pollinated plants
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Data from: Honey bees (Apis mellifera) modify plant-pollinator network structure, but do not alter wild species’ interactions
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Data from: The contributions of flower strips to wild bee conservation in agricultural landscapes can be predicted using pollinator habitat suitability models
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Data from: Drivers of viral prevalence in landscape-scale pollinator networks across Europe: Honey bee viral density, niche overlap with this reservoir host and network architecture
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Data from: Flight of the bumble bee: buzzes predict pollination services
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Data from: Empidine dance flies pollinate the woodland geranium as effectively as bees
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Data from: Linking pollinator efficiency to patterns of pollen limitation: small bees exploit the plant-pollinator mutualism
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Data from: Flower-derived environmental DNA reveals community diversity, species abundances, and ecological interactions in bee pollinators
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Wild bumble bee colony abundance, scaled by field size, predicts pollination services
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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.