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.
23
datasets available to search
ShareScore release 0.9.0
Dataset results
23 results for “mass flowering”
Eriophorum vaginatum flowers and mass per tiller in tussock tundra sites along the Dalton Highway, Alaska 2016
These measurements repeat the measurements made by Shaver et al. (1986) along the Dalton Highway at some of the same sites. Shaver, G. R., N. Fetcher, and F. S. Chapin III. 1986. Growth and flowering in Eriophorum vaginatum: Annual and latitudinal variation. Ecology 67:1524-1535.
Fig. 1 in The impact of mass-flowering crops on bee pathogen dynamics
Fig. 1. Chronological trend (1961–2019) of the global land area (ha) used for crops; red: almonds; ochre: rapeseed; green: seed cotton; light blue: soybeans; dark blue: sunflower; purple: the sum of 5 MFCs with biggest global land area used in 2019 (see Table 1); data from the Food and Agriculture Organization of the United Nations (2021). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in A sustainable mass rearing method for western flower thrips, Frankliniella occidentalis (Thysanoptera: Thripidae)
Fig. 2. Diagram of life cycle, rearing procedures, and label coding for Frankliniella occidentalis. (A) Frankliniella occidentalis male (lef) and female (right) adults; (B) egg-infested cotyledon; (C) nymph-infested cotyledon; (D) pupae under filter paper in rearing container; cots = cotyledons.
Fig. 1 in A sustainable mass rearing method for western flower thrips, Frankliniella occidentalis (Thysanoptera: Thripidae)
Fig. 1. (A) Shirofumi soybean sprout with cotyledons ready to harvest (circled). (B) Metal tray housing immature stages of Frankliniella occidentalis in insect rearing containers with secondary standard Petri dish lids on top of ventilated mesh lids. Records of dates maintained and life stages present in containers are kept on each colony lid.
Pollinators, pests and yield – multiple trade-offs from insecticide use in a mass-flowering crop
<p>Multiple trade-offs are likely to occur between pesticide use, pollinators and yield (via crop flowers) in pollinator-dependent, mass-flowering crops (MFCs), causing potential conflict between conservation and agronomic goals. To date, no studies have looked at both outcomes within the same system, meaning 'win-win solutions' for pollinators and yield can only be inferred.</p> <p>Here, we outline a new framework to explore these trade-offs, using red clover (<em>Trifolium pratense</em>) grown for seed production as an example. Specifically, we address how the insecticide thiacloprid affects densities of seed-eating weevils (<em>Protapion</em> spp.), pollination rates, yield, floral resources and colony dynamics of the key pollinator, <em>Bombus terrestris</em>.</p> <p>Thiacloprid did not affect the amount of nectar provided by, or pollinator visitation to, red clover flowers but did reduce weevil density, correlating to increased yield and gross profit. Colonies of <em>B. terrestris</em> significantly increased their weight and reproductive output in landscapes with (compared to without) red clover, regardless of insecticide use.</p> <p><em>Synthesis and Applications</em>: <span>We propose a holistic, conceptual framework to explore trade-offs between pollinators, pesticides and yield that we believe to be essential for achieving conservation and agronomic goals. This framework </span><span>applies to all insecticide-treated mass-flowering crops (MFCs) and can be adapted to include other ecological processes. Trialling the framework in our study system, we found that our focal insecticide, thiacloprid, improved red clover seed yield with no detected effects on its key pollinator <em>Bombus terrestris</em> and that the presence of red clover in the landscape can benefit pollinator populations.</span></p>
Disease management during bloom affects the floral microbiome but not pollination in a mass-flowering crop
<p>Flowering crops are heavily managed during bloom to both promote pollination and prevent disease. Disease management practices can alter the floral microbiome, including pathogens and non-target microbes. However, whether agrochemical presence or altered microbiome composition affect pollinator foraging and pollination services is unclear.</p> <p>We assessed the effects of orchard management tactics and landscape context on the flower microbiome in almond, <em>Prunus dulcis</em>. Fourteen orchards (5 conventional, 4 organic, 5 conventional with habitat augmentation) were sampled at early and peak bloom to characterize bacterial and fungal communities associated with floral tissues. The surveys were complemented by an artificial flower experiment to assess the effects of fungicides and microbes on honey bee foraging. Finally, a field trial was conducted to test the effects of fungicides and microbes on pollination. </p> <p>As bloom progressed, bacterial and fungal abundance and diversity increased across all floral tissue types and management strategies. The magnitude by which microbial abundance and diversity were affected varied, with proximity to apiaries and orchard management having notable effects on bacteria and fungi, respectively.</p> <p>Experiments revealed that fungicides reduced nectar removal by honey bees; however, neither fungicide nor microbe treatments affected pollination, as measured through pollen tube initiation and growth. </p> <p><strong>Synthesis and applications</strong>: Our results reveal that microbiota associated with flowers of a pollinator-dependent crop are temporally dynamic and sensitive to management practices. However, pollination services in almonds may be resilient to both agrochemical disturbance and microbial augmentation of flowers, the latter of which may become more prominent as microbial solutions to disease management are embraced in agroecosystems.</p>
Deep learning object detection to estimate the nectar sugar mass of flowering vegetation
<p>Floral resources are a key driver of pollinator abundance and diversity, yet their quantification in the field and laboratory is laborious and requires specialist skills.</p> <p>Using a dataset of 25000 labelled tags of fieldwork-realistic quality, a Convolutional Neural Network (Faster R-CNN) was trained to detect the nectar-producing floral units of 25 taxa in surveyors' quadrat images of native, weed-rich grassland in the UK.</p> <p>Floral unit detection on a test set of 50 model-unseen images of comparable vegetation returned a precision of 90%, recall of 86% and F1 score (the harmonic mean of precision and recall) of 88%. Model performance was consistent across the range of floral abundance in this habitat. </p> <p>Comparison of the nectar sugar mass estimates made by the CNN and three human surveyors returned similar means and standard deviations. Over half of the nectar sugar mass estimates made by the model fell within the absolute range of those of the human surveyors.</p> <p>The optimal number of quadrat image samples was determined to be the same for the CNN as for the average human surveyor. For a standard quadrat sampling protocol of 10–15 replicates, this application of deep learning could cut pollinator-plant survey time per stand of vegetation from hours to minutes.</p> <p>The CNN is restricted to a single view of a quadrat, with no scope for manual examination or specimen collection, though in contrast to human surveyors its object detection is deterministic and floral unit definition is standardised.</p> <p>As agri-environment schemes move from prescriptive to results-based, this approach provides an independent barometer for grassland management which is usable by both landowner and scheme administrator. The model can be adapted to visual estimations of other ecological resources such as winter bird food, floral pollen volume, insect infestation and tree flowering/fruiting, and by adjustment of classification threshold may show acceptable taxonomic differentiation for presence-absence surveys.</p>
Deep learning object detection to estimate the nectar sugar mass of flowering vegetation
Open the record for dataset details and reuse information.
Pollinators, pests and yield – multiple trade-offs from insecticide use in a mass-flowering crop
Open the record for dataset details and reuse information.
Disease management during bloom affects the floral microbiome but not pollination in a mass-flowering crop
Open the record for dataset details and reuse information.
Data from: Floral display and habitat fragmentation: effects on the reproductive success of the threatened mass-flowering Conospermum undulatum (Proteaceae)
1. Fragmentation of natural vegetation is currently one of the largest threats to plant populations and their interactions with pollinators. Plant reproductive susceptibility to habitat fragmentation has been investigated in many species; however, the response of wild mass-flowering species is poorly known, with research limited to mainly boreal plant species. 2. Here we studied twelve remnant populations of the threatened mass-flowering shrub Conospermum undulatum in the southwest Australian biodiversity hotspot, each presenting different population size, level of isolation, and floral display. We assessed the impact of fragmentation on: 1) fruit and seed production; and 2) seed germination. To gain a deeper understanding of factors influencing the reproductive success of C. undulatum we performed pollinator exclusion and self-pollination treatments to experimentally assess the mating system of this threatened shrub. 3. We found C. undulatum to be strictly self-incompatible and totally reliant on pollinators visiting with an outcrossed pollen load to complete the reproductive cycle. Further, we found that fruit production significantly decreased with decreasing floral display. A decrease in population size and floral display led to a decrease in seed output, while increasing isolation also led to a reduced production of seeds. Overall, seed germination was positively related to population size, and a negative relationship was found between germination and isolation. 4. Our results demonstrate the important relationship between pollinators and floral morphology in plants of southwest Australia that have coevolved with native pollinators and developed characteristic flower morphologies over long timeframes. The self-incompatible C. undulatum cannot rely on its mass-flowering trait to attract pollinators from co-flowering species, neither can it compensate for the lack of visitors by promoting geitonogamy. Consequently, fragmentation has a significant effect on the reproductive output of C. undulatum, and size, isolation, and floral display of populations should be considered when planning conservation actions for the species.
Data from: Mass-flowering crops dilute pollinator abundance in agricultural landscapes across Europe
Mass-flowering crops (MFCs) are increasingly cultivated and might influence pollinator communities in MFC fields and nearby semi-natural habitats (SNHs). Across six European regions and 2 years, we assessed how landscape-scale cover of MFCs affected pollinator densities in 408 MFC fields and adjacent SNHs. In MFC fields, densities of bumblebees, solitary bees, managed honeybees and hoverflies were negatively related to the cover of MFCs in the landscape. In SNHs, densities of bumblebees declined with increasing cover of MFCs but densities of honeybees increased. The densities of all pollinators were generally unrelated to the cover of SNHs in the landscape. Although MFC fields apparently attracted pollinators from SNHs, in landscapes with large areas of MFCs they became diluted. The resulting lower densities might negatively affect yields of pollinator-dependent crops and the reproductive success of wild plants. An expansion of MFCs needs to be accompanied by pollinator-supporting practices in agricultural landscapes.
Data from: Netted crop covers reduce honey bee foraging activity and colony strength in a mass flowering crop
The widespread use of protective covers in horticulture represents a novel landscape-level change, presenting challenges for crop pollination. Honey bees (Apis mellifera L) are pollinators of many crops, but their behaviour can be affected by conditions under covers. To determine how netting crop covers can affect honey bee foraging dynamics, colony health, and pollination services, we assessed the performance of 52 nucleus honey bee colonies in five covered and six uncovered kiwifruit orchards. Colony strength was estimated pre- and post- introduction, and the foraging of individual bees (including pollen-, nectar-, and naïve foragers) was monitored in a subset of the hives fitted with RFID readers. Simultaneously, we evaluated pollination effectiveness by measuring flower visitation rates and the number of seeds produced after single honey bee visits. Honey bee colonies under cover exhibited both an acute loss of foragers and changes in the behaviour of successful foragers. Under cover, bees were four times less likely to return after their first trip outside the hive. Consequently, the number of adult bees in hives declined at a faster rate in these orchards, with colonies losing on average 1,057 ± 274 of their bees in under two weeks. Bees that did forage under cover completed fewer trips provisioning their colony, failing to re-enter after a few short-duration trips. These effects are likely to have implications for colony health and productivity. We also found that bee density (bees/thousand flowers) and visitation rates to flowers were lower under cover, however we did not detect a resultant change in pollination. Our findings highlight the need for environment-specific management techniques for pollinators. Improving honey bee orientation under covers and increasing our understanding of the effects of covers on bee nutrition and brood rearing should be primary objectives for maintaining colonies and potentially improving pollination in these systems.
Data from: Effects of landscape complexity on pollinators are moderated by pollinators' association with mass-flowering crops
Conserving and restoring semi-natural habitat, i.e. enhancing landscape complexity, is one of the main strategies to mitigate pollinator decline in agricultural landscapes. However, we still have limited understanding of how landscape complexity shapes pollinator communities in both crop and non-crop habitat, and whether pollinator responses to landscape complexity vary with their association with mass-flowering crops. Here, we surveyed pollinator communities on mass-flowering leek crops and in nearby semi-natural habitat in landscapes of varying complexity. Surveys were done before and during crop bloom and distinguished between pollinators that visit the crop frequently (dominant), occasionally (opportunistic) or not at all (non-crop). Forty-four percent of the species in the wider landscape were also observed on leek flowers. Crop pollinator richness increased with local pollinator community size and increasing landscape complexity, but relationships were stronger for opportunistic than for dominant crop pollinators. Relationships between pollinator richness in semi-natural habitats and landscape complexity differed between groups with the most pronounced positive effects on non-crop pollinators. Our results indicate that while dominant crop pollinators are core components of crop pollinator communities in all agricultural landscapes, opportunistic crop pollinators largely determine species-richness responses and complex landscapes are local hotspots for both biodiversity conservation and potential ecosystem service-provision.
Multi-trophic consequences of mass flowering in two bamboos (Poales: Poaceae)
<div> <div> <div> <div> <p>Mass flowering (masting) has been hypothesized to be an adaptive strategy to satiate florivores/granivores. However, few studies have corroborated this by examining seed predation in multiple flowering patches of varying sizes across a wide geographical range over multiple years. Moreover, the trophic consequences of masting for the parasitoids of florivores/granivores and their feedback effects are poorly understood. Here, we used the nationwide masting of two bamboo species, <em>Sasamorpha borealis</em> var. <em>borealis</em> and <em>Phyllostachys nigra</em> var. <em>henonis</em>, in Japan and compared florivory and seed sets in multiple flowering patches during the masting year and the following sporadic flowering years. We found lower florivory damage in both bamboo species and higher seed set for <em>Sasamorpha borealis</em> var. <em>borealis</em> in patches with massive and spatiotemporally isolated flowering. Additionally, the relative level of parasitism of florivores increased considerably in the sporadic flowering year, particularly in large flowering patches of <em>Sasamorpha borealis</em> var. <em>borealis</em>. Our results indicate the importance of spatiotemporal isolation during masting for satiating two dipteran florivores and suggest that parasitoids might rapidly suppress the extent of florivory in the sporadic flowering years after masting. Collectively, our study highlights the importance of considering multi-trophic consequences in understanding the adaptive significance of masting.</p> </div> </div> </div> </div>
Data from: Netted crop covers reduce honey bee foraging activity and colony strength in a mass flowering crop
Open the record for dataset details and reuse information.
Data from: Floral display and habitat fragmentation: effects on the reproductive success of the threatened mass-flowering Conospermum undulatum (Proteaceae)
Open the record for dataset details and reuse information.
Multi-trophic consequences of mass flowering in two bamboos (Poales: Poaceae)
Open the record for dataset details and reuse information.
Data from: Effects of landscape complexity on pollinators are moderated by pollinators’ association with mass-flowering crops
Open the record for dataset details and reuse information.
Data from: Mass-flowering crops dilute pollinator abundance in agricultural landscapes across Europe
Open the record for dataset details and reuse information.
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.