Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
60
datasets available to search
ShareScore release 0.9.0
Dataset results
60 results for “Bee abundance”
Data from: The effect of repeated, lethal sampling on wild bee abundance and diversity
Open the record for dataset details and reuse information.
Data from: Bumble bee nest abundance, foraging distance, and host-plant reproduction: implications for management and conservation
Open the record for dataset details and reuse information.
Heterogeneous agroecosystems support high diversity and abundance of trap nesting bees and wasps amongst tropical crops
Open the record for dataset details and reuse information.
Data from: Landscape complementation is a driver of bumble bee (Bombus sp.) abundance in the Canadian Rocky Mountains
Open the record for dataset details and reuse information.
Data from: High-throughput monitoring of wild bee diversity and abundance via mitogenomics
Open the record for dataset details and reuse information.
Data from: Dominant bee species and floral abundance drive parasite temporal dynamics in plant-pollinator communities
Open the record for dataset details and reuse information.
Data from: Evaluating predictive performance of statistical models explaining wild bee abundance in a mass-flowering crop
<p>Wild bee populations are threatened by current agricultural practices in many parts of the world, which may put pollination services and crop yields at risk. Loss of pollination services can potentially be predicted by models that link bee abundances with landscape-scale land-use, but there is little knowledge on the degree to which these statistical models are transferable across time and space. This study assesses the transferability of models for wild bee abundance in a mass-flowering crop across space (from one region to another) and across time (from one year to another). The models used existing data on bumblebee and solitary bee abundance in winter oilseed rape fields, together with high-resolution land-use crop-cover and semi-natural habitats data, from studies conducted in five different regions located in four countries (Sweden, Germany, Netherlands, and the UK), in three different years (2011, 2012, 2013). We developed a hierarchical model combining all studies and evaluated the transferability using cross-validation. We found that both the landscape-scale cover of mass-flowering crops and permanent semi-natural habitats, including grasslands and forests, are important drivers of wild bee abundance in all regions. However, while the negative effect of increasing mass-flowering crops on the density of the pollinators is consistent between studies, the direction of the effect of semi-natural habitat is variable between studies. The transferability of these statistical models is limited, especially across regions, but also across time. Our study demonstrates the limits of using statistical models in conjunction with widely available land-use crop-cover classes for extrapolating pollinator density across years and regions, likely in part because input variables such as cover of semi-natural habitats poorly capture variability in pollinator resources between regions and years.</p>
Local plant richness predicts bee abundance and diversity in a study of urban residential yards
<p>Understanding the drivers of biodiversity in cities is a central goal of urban ecology. There is currently intense scientific and public interest in the factors that influence pollinator diversity in cities and their surroundings. Existing studies point to a variety of landscape and local factors as potentially important, including urbanization (often defined as impervious surface cover in the surrounding lands), tree canopy cover and the diversity and abundance of locally flowering plants. However, few studies have sought to weigh the relative importance of these predictors of bee community metrics. Using a set of 27 residential yards chosen to represent a gradient of both urbanization and tree canopy cover at a landscape scale, we used pan trapping and netting to assess the abundance and diversity of local bee communities across the City of Ottawa, Ontario, Canada. Surprisingly, the landscape factors (urbanization and tree cover) described only a tiny fraction (< 1%) of the total variance in bee abundance and diversity across sites. This was true regardless of the scale of analysis at which the landscape factors were measured. Instead, a yard's floral richness, and, to a somewhat lesser extent, its floral abundance, emerged as the most important predictors of a yard's bee community abundance and diversity. Our study offers an important counterpoint to a growing body of work emphasizing the impacts of landscape factors on bee communities. Instead, our research suggests that improving bee floral resources by increasing the plant species richness and abundance locally is a powerful tool to support bee conservation, regardless of the level of urbanization or tree cover in the surrounding landscape. Our work highlights that the practice of promoting 'bee-friendly' plantings in private yards, currently being undertaken by a number of non-profits around the world, can play an important role in restoring and maintaining urban pollinator communities.</p>
Introduced honey bees increase host plant abundance but decrease native bumble bee species richness and abundance
<p>Long-term variation in the population density of introduced honey bees (<em>Apis mellifera)</em> has been shown to be associated with variations in floral traits in alpine lotus (<em>Saussurea nigrescens</em>). However, it remains to be determined whether a high density of honey bees affects the abundance of nectariferous plants and the species richness and abundance of native bumble bees. We predicted that a high density of introduced honey bees lasting three decades would decrease the species richness and abundance of native bumble bees but increase the abundance of honeybee host plant species. Here, the field experiments were conducted to examine the diversity of nectariferous plants and native bumble bees along the typical gradients of honey bee density (high density of honey bee at close apiary and low density of honey bee at distant of apiary). We investigated nectariferous plant abundance, floral and seed traits, bumble bee species richness and abundance at sites with either a high or low honey bee density in an alpine meadow. Our results demonstrated that an increased population of introduced honey bees was associated with increased host plant abundance and flower/capitula number per plant but decreased nectar volume per flower, seed mass, species richness and abundance of native bumble bees. The bumble bee visitation rate was positively correlated with nectar volume per flower at sites close to and far from apiaries. The honey bee visitation rate was positively correlated with flower/capitula number per plant at sites close to apiaries and nectar volume per flower at sites far from apiaries. Seed mass was negatively correlated with nectariferous plant abundance. Our findings showed that introduced honey bees decreased the species richness and abundance of native bumble bees, attributed to evolutionary decrease nectar resources among honey bee host plant species, but increased the abundance of nectariferous plants, attributed to the production of many small seeds by plants. This suggests that long-term high-density beekeeping affects the biodiversity of honey bee host plants and native bumble bees. Our results provide new insights into the mechanisms of maintaining the biodiversity of nectariferous plants and native bumble bees.</p>
The abundance and diversity of native bees in prairie agroecosystems Samantha Morrice thesis raw data
<p class="MsoNormal">Habitat loss due to agricultural intensification has negative implications for native bee communities throughout Western Canada. Wetland remnants are a common feature within the Prairie Pothole Region of Saskatchewan and are threatened due to continued conversion to agricultural land. Approximately sixty-one million acres of land are dedicated to agriculture in Saskatchewan. Wetlands and field margins in this region are embedded in these agricultural matrices and may act as important nesting and floral resources for many native bee taxa.</p> <p class="MsoNormal">The purpose of this study was to determine whether conserved habitats, such as wetlands and field margins, in highly cultivated landscapes support native bee and pollinator diversity, which is expected to be ecologically and economically beneficial. I also examined differences in bee abundance and diversity across three crop types to explore the roles different crop types might play as a habitat or feeding resource for native bees. Bees were sampled from wetland and field margins into the surrounding cropland across two growing seasons in three crop types (canola, cereals and semi-natural re-seeded forage) to quantify the role that wetlands, field margins and crop types play in supporting native bee populations.</p> <p class="MsoNormal">I found that the diversity and abundance of native bees collected from natural and semi-natural edge habitat was higher than that collected in-field. Areas with a higher availability of nesting resources tended to support a higher diversity of bee genera. Unmanaged semi-natural re-seeded forage sites supported a higher abundance and diversity of bees than canola and cereal crops. Finally, we found that bee community structure differed significantly between years, likely due to differences in temperature and precipitation.</p> <p class="MsoNormal">Results of this study suggest that native bees may be using edge habitat for nesting and floral resources. Bees nesting in these areas may in turn provide pollination to agricultural crops through a "spill-over" effect. This project has improved our understanding of native bee communities and the value of management practices that promote sustainable agricultural production through pollination services. These results further support the need for management of agricultural cropland that preserves semi-natural habitat that is integral to native bee functional diversity.</p>
Data from: Estimating bee abundance: Can mark-recapture methods validate common sampling protocols?
<p>Wild bees can be essential pollinators in natural, agricultural, and urban systems, but populations of some species have declined. Efforts to assess the status of wild bees are hindered by uncertainty in common sampling methods, such as pan traps and aerial netting, which may or may not provide a valid index of abundance across species and habitats. Mark-recapture methods are a common and effective means of estimating population size, widely used in vertebrates but rarely applied to bees. Here we review existing mark-recapture studies of wild bees and present a new case study comparing mark-recapture population estimates to pan trap and net capture for four taxa in a wild bee community. Net, but not trap, capture was correlated with abundance estimates across sites and taxa. Logistical limitations ensure that mark-recapture studies will not fully replace other bee sampling methods, but they do provide a feasible way to monitor selected species and measure the performance of other sampling methods.</p>
The abundance and diversity of native bees in prairie agroecosystems Samantha Morrice thesis raw data
Open the record for dataset details and reuse information.
Local plant richness predicts bee abundance and diversity in a study of urban residential yards
Open the record for dataset details and reuse information.
Data from: Evaluating predictive performance of statistical models explaining wild bee abundance in a mass-flowering crop
Open the record for dataset details and reuse information.
Data from: Estimating bee abundance: Can mark-recapture methods validate common sampling protocols?
Open the record for dataset details and reuse information.
Introduced honey bees increase host plant abundance but decrease native bumble bee species richness and abundance
Open the record for dataset details and reuse information.
Abundant small RNAs in the reproductive tissues of the honey bee, Apis mellifera, are a plausible mechanism for epigenetic inheritance and parental manipulation of gene expression
GEO Series GSE182720. Apis mellifera. 24 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Data from: Floral resource availability from groundcover promotes bee abundance in coffee agroecosystems
Patterns of bee abundance and diversity across different spatial scales have received thorough research consideration. However, the impact of short and long term temporal resource availability on biodiversity has been less explored. This is highly relevant in tropical agricultural systems for pollinators, as many foraging periods of pollinators extend beyond flowering of any single crop species. In this study, we sought to understand how bee communities in tropical agroecosystems changed between seasons, and if short and long term floral resource availability influenced their diversity and abundance. We used a threshold analysis approach in order to explore this relationship at two time scales. This study took place in a region dominated by coffee agroecosystems in Southern Mexico. This was an ideal system because the landscape offers a range of coffee management regimes that maintain heterogeneity in floral resource availability spatially and temporally. We found that the bee community varies significantly between seasons. There were higher abundances of native social, solitary and managed honeybees during the dry season when coffee flowers. Additionally, we found that floral resources from groundcover, but not trees, were associated with bee abundance. Further, the temporal scale of the availability of these resources is important, whereby short-term floral resource availability appears particularly important in maintaining high bee abundance at sites with lower seasonal complementarity. We argue that in additional to spatial resource heterogeneity, temporal resource heterogeneity is critical in explaining bee community patterns, and should thus be considered to promote pollinator conservation.
Data from: Floral resource availability from groundcover promotes bee abundance in coffee agroecosystems
Open the record for dataset details and reuse information.
Summary of bee and plant abundance 2020-part of 2021 NutriB2
<p>Summary requested for literature search for a phd proposal. Please do not distribute. </p>
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.