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227 results for “wild bees”
Survey of Wild Bee Pollinators on Nyssa Sylvatica at Harvard Forest since 2021
Black gum (Nyssa sylvatica) is amongst the latest blooming canopy species to produce vast numbers of flowers and abundant nectar and pollen within forests of the Northeastern United States, a position previously held by the American Chestnut (Castanea dentata). Prior research indicates N. sylvatica is insect pollinated and wild bees have been observed visiting flowers; we are unaware, however, of any detailed surveys and/or characterization of the Nyssa-associated wild bee community in the Northeastern United States. Wild bee species frequent the canopy from early to late spring, presumably to forage, prior to being found in blooming crops such as apple and strawberry later in the season. The late bloom time of N. sylvatica (in early June) may extend floral resource availability in the temperate forest canopy and support forest-associated wild bee communities prior to the bloom of summer-flowering plant species.
iNaturalist Wild Bees
<p>The dataset contains <strong>726</strong> images of wild bees scraped from the <a href="http://inaturalist.org/">iNaturalist</a> database. There are <strong>25 species</strong> with 30 images each (except for <em>Bombus magnus</em>, that only has 6 images). All photos were marked with <em>Research Grade</em> on iNaturalist and were released under the <em>CC-BY-NC</em> license. Along with the images, a json file is also provided; there you can find the <strong>part annotations for Head, Thorax and Abdomen</strong> for all the photos. The segmentations were drawn in <a href="https://labelstud.io/">Label Studio</a>. For more information on the data, please visit our <a href="https://github.com/TeodorChiaburu/beexplainable">GitHub repository</a> .</p>
Individual-based body sizes of wild bees along elevational gradients on Mt. Kilimanjaro
<p><span>This dataset contains body size measurements of wild bees that were captured along elevational gradients on the southern slopes of Mt. Kilimanjaro (Tanzania) using standardized sampling methods (pan traps, transect walks). The dataset includes bee species identified at the species level as well as morphospecies. The bees were measured individually, meaning that intraspecific differences in body size are also represented. The intertegular distance (ITD) in millimeters was measured as a surrogate for body size.</span></p> <p><span>The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.</span></p>
Figure 7 in Diversity and life-history traits of wild bees (Insecta: Hymenoptera) in intensive agricultural landscapes in the Rolling Pampa, Argentina
Figure 7. Mean number of (a) above-ground nesting bee individuals, (b) floral specialist bee individuals, (c) oligolectic bee individuals and (d) oil-collecting bee individuals in cropped area (n = 28 points) and semi-natural area (n = 11 points). ns indicates a non-significant result. Asterisks indicate that means are significantly different (Wilcoxon rank sum test, ** = P <0.01). Bars show SEs.
Figure 2 in Diversity and life-history traits of wild bees (Insecta: Hymenoptera) in intensive agricultural landscapes in the Rolling Pampa, Argentina
Figure 2. Semi-natural area of the study site: (a) semi-natural grassland; (b) the stream 'Arroyo Dulce' and its banks (Photos: Violette Le Féon).
Fig. 4 in Favourite plants of wild bees
Fig. 4. Favourite plants as pollen hosts. Scaled pollen scores for each of the identified 34 "high visitor richness" plant species (according to Fig. 3). The scaled pollen score for one plant species is the percentage of other plant species that are visited by a lower number of bee species, e.g. a scaled pollen score of 100 shows that all other plant species in the database were visited by a lower number of bee species. The maximum number of bee species visiting one plant species is 71 and the total number of plant species described in Westrich (2018) is 494. The average scaled pollen score of 50 is indicated by the dashed red line.
Fig. 6 in Favourite plants of wild bees
Fig. 6. Favourite plants in existing seed mixtures. Percentage of commercial seed mixtures containing seeds of the identified 34 "high visitor richness" plant species (according to Fig. 3). Total number of seed mixtures n = 55.
Fig. 5 in Favourite plants of wild bees
Fig. 5. Favourite plants as hosts for polylectic, oligolectic and threatened species. Percentage of wild bee species visiting each of the identified 34 "high visitor richness" species (according to Fig. 3). 100% of observed bee species is the total number of polylectic, oligolectic and threated species that are included in the Wildbienen-Kataster dataset, which includes ~ 75% of all wild bee species in Germany (440 species in total, containing 87 oligolectic and 177 red-listed species). The percentage of wild bee species for plants that are not widespread in the study area, such as Chondrilla juncea or Ballota nigra, are underestimated.
Fig. 2 in Favourite plants of wild bees
Fig. 2. Overview of the way that the datasets were combined in the analyses (detailed descriptions are given in the Material & Methods section).
Fig. 3 in Favourite plants of wild bees
Fig. 3. Favourite plants of bees. Plant species are grouped into "high visitor richness", "medium visitor richness" and "low visitor richness" based on the bee visits observed in the BienABest-project. On each sampling date and each habitat and location, the plant species were ranked based on the increasing number of visiting bee species. Mean ranks ¯R i for each plant species during all months (yellow), during April and May (green), during June (blue) and during July and August (purple) are shown. As the BienABest dataset contains a high proportion of interactions of polylectic and common species (male and female individuals), we additionally highlighted the top plant species with the greatest number of visiting oligolectic (+, n = 18 plant species) and red listed wild bee species (*, n = 17 plant species) according to Wildbienen-Kataster dataset.
Maintaining habitat diversity at small scales benefits wild bees and pollination services in mountain apple orchards
<p>In 2021, we conducted our study in apple orchards in South Tyrol, an Alpine region in Italy, using pan-traps, direct observations of visitation frequency, and a pollinator exclusion experiment. We investigated the scale-dependent effects of landscape heterogeneity and other parameters on wild bee assemblages and the related pollination service they provide at five spatial scales (radius 100 – 2,000 m).</p>
T A B L E 1 in Fruit production in coffee (Coffea arabica L.) crops is enhanced by the behaviour of wild bees (Hymenoptera: Apidae)
T A B L E 1 Relationship of management type (conventional and agroecological) on the diversity of floral visitors (abundance and Chao-1) and the most abundant floral visitors. Values in bold are those that were found to be statistically significant.
F I G U R E 1 in Fruit production in coffee (Coffea arabica L.) crops is enhanced by the behaviour of wild bees (Hymenoptera: Apidae)
F I G U R E 1 Location of all study sites. The map shows location of the study sites in the central and south-western regions of Guatemala, where pollination experiments and pollinator observations were performed. Blue crosses represent conventional sites, and lilac crosses represent agroecological sites.
F I G U R E 3 in Fruit production in coffee (Coffea arabica L.) crops is enhanced by the behaviour of wild bees (Hymenoptera: Apidae)
F I G U R E 3 Relationship between the weight of fruits and (a) the percentage of Apis mellifera that carried pollen (PolTran) on their legs/bodies. Relationship between fruit set and (b) nectary, the percentage of P. bilineata observed touching the nectary of the coffee flowers, and (c) the average number of flowers visited by P. bilineata. Lilac colour is used for agroecological sites 'a', and blue is used for conventional sites 'c'. Shaded lines indicate 95% confidence interval.
F I G U R E 2 in Fruit production in coffee (Coffea arabica L.) crops is enhanced by the behaviour of wild bees (Hymenoptera: Apidae)
F I G U R E 2 Distribution under conventional (blue) and agroecological (lilac) management of (a) abundance of floral visitors, (b) abundance of A. mellifera and (c) abundance of P. bilineata. The differences between variables considering management were analysed with paired -F-test. *p <0.05.
Code: A model of wild bee populations accounting for spatial heterogeneity and climate induced temporal variability of food resources at the landscape level
<p><span>The viability of wild bee populations and the pollination services that they provide are driven by the availability of food resources during their activity period and within the surroundings of their nesting sites. Changes in climate and land use influence the availability of these resources and are major threats to declining bee populations. Because wild bees may be vulnerable to interactions between these threats, spatially explicit models of population dynamics that capture how bee populations jointly respond to land use at a landscape scale and weather are needed. Here, we developed a spatially and temporally explicit theoretical model of wild bee populations aiming for a middle ground between the existing mapping of visitation rates using foraging equations and more refined agent-based modelling. The model is developed for <em>Bombus</em> sp. and captures within-season colony dynamics. The model describes mechanistically foraging at the colony level and temporal population dynamics for an average colony at the landscape level. Stages in population dynamics are temperature-dependent triggered with a theoretical generalized seasonal progression, which can be informed by growing degree days (GDD). The purpose of the LandscapePhenoBee model is to evaluate the impact of systematic changes and within-season variability in resources on bee population sizes and crop visitation rates. In a simulation study, we used the model to evaluate the impact of the shortage of food resources in the landscape arising from extreme drought events in different types of landscapes (ranging from different proportions of semi-natural habitats and early and late flowering crops) on bumblebee populations.</span></p>
Data from: The importance of biotic interactions in distribution models of wild bees depends on the type of ecological relations, spatial scale and range
<p>Studies have found that biotic information can play an important role in shaping the distribution of species even at large scales. However, results from species distribution models are not always consistent among studies, and the underlying factors that influence the importance of biotic information to distribution models, are unclear. 2. We studied wild bees and plants, and cleptoparasite bees and their hosts in the Netherlands to evaluate how the inclusion of their biotic interactions affects the performance of species distribution models. We assessed model performance through spatial block cross-validation and by comparing models with interactions to models where the interacting species were randomized. Finally, we evaluated how, (i) spatial resolution, (ii) taxonomic rank (genus or species), (iii) degree of specialization, (iv) distribution of the biotic factor, (v) bee body size and (vi) type of biotic interaction, affect the importance of biotic interactions in shaping the distribution of wild bee species using generalized linear models. 3. We found that the models of wild bees improved when the biotic factor was included. The model performance improved the most for parasitic bees. Spatial resolution, taxonomic rank, distribution range of the biotic factor, and degree of specialization of the modelled species all influenced the importance of the biotic interaction to the models. 4. We encourage researchers to include biotic interactions in species distribution models, especially for specialized species and when the biotic factor has a limited distribution range. However, before adding the biotic factor we suggest considering different spatial resolutions and taxonomic ranks of the biotic factor. We recommend using single species or genus data as a biotic factor in the models of specialist species and for the generalist species, we recommend using an approximate measure of interactions, such as flower richness.</p>
Fig. 2 in Anthidium manicatum (Linnaeus, 1758) (Hymenoptera; Megachilidae), an addition to the wild bee fauna of Madeira Island (Portugal)
Fig. 2.- Anthidium manicatum ♀, 01/10/2021, Parque de Santa Catarina, Funchal, Madeira, 115 m west of Capela de SAntA CAtArinA, 32° 38' 44,6" N, 16° 54' 52,3" E. (Photo; G. Matzke-Hajek).
Fig. 1 in Anthidium manicatum (Linnaeus, 1758) (Hymenoptera; Megachilidae), an addition to the wild bee fauna of Madeira Island (Portugal)
Fig. 1.- Anthidium manicatum ♀, 01/10/2021, Parque de Santa Catarina, Funchal, Madeira, near the Cristóvão Colombo statue, 32° 38' 44,2" N, 16° 54' 48,2" E. (Photo: G. MAtzke-Hajek).
Fig. 3 in Anthidium manicatum (Linnaeus, 1758) (Hymenoptera; Megachilidae), an addition to the wild bee fauna of Madeira Island (Portugal)
Fig. 3.- Locality of Anthidium observations in Parque de Santa Catarina, Funchal, Madeira, viewing direction eastwards with the white Capela building in middle distance. A bed of Salvia leucantha (= picture position of Fig. 2) in the foreground. (Photo; G. Matzke-Hajek).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.