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74 results for “wildflowers”
Data from: Germination timing and chilling exposure create contingency in life history and influence fitness in the native wildflower Streptanthus tortuosus
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Data from: Correlated evolution of self and interspecific incompatibility across the range of a Texas wildflower
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Data from: Local and landscape-level floral resources explain effects of wildflower strips on wild bees across four European countries
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Data from: Landscape greening and local creation of wildflower strips and hedgerows promote multiple ecosystem services
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Sown wildflower meadows: Can they replace natural meadows in urban spaces for bees, butterflies, and hoverflies?
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Wildflower strips enhance wild bee reproductive success
<p>1. Intensification of agriculture has resulted in a simplification and fragmentation of agroecosystems. Yet, its impact on the reproductive success and population dynamics of wild bees, and how adverse effects can be mitigated, remains poorly understood.</p> <p>2. We established populations of seven solitary bee species varying in body size in experimentally sown wild flower strips (WFS), existing semi-natural habitats (SNH; forest edges) and isolated sites lacking WFS and SNH in the local surrounding (350 m radius) to test whether (i) the wild bee species use planted flowers of wildflower strips (WFS) to provision offspring with pollen, (ii) whether vicinity to WFS reduces their foraging trip duration, (iii) parasitism rate, and (iv) increases bee reproductive success of nesting populations. Furthermore, we tested whether the effect size depends on the body size of the bee species considered.</p> <p>3. We show that wild bees nesting in WFS provisioned their offspring primarily with pollen from plants of WFS. This led to shorter foraging trips of all bee species nesting in WFS compared to bees nesting in isolated (unrestored) sites and overall increased reproductive success (i.e. more viable offspring). Reproductive success of bees nesting in WFS was also higher, and parasitism rates lower, compared to bees nesting at forest edges. Smaller-potentially less mobile-bee species benefitted more than larger ones from WFS plantings in terms of reproductive success.</p> <p>4. Synthesis and applications.Our findings demonstrate that diverse WFS can enhance the reproductive success of multiple solitary wild bee species, thereby mitigating negative impacts of agroecosystem simplification through the provision of suitable floral resources and reduced foraging times required for offspring provisioning. Our study further indicates that a relatively fine-meshed network of wildflower plantings and nesting habitats is required to most effectively enhance reproduction and populations of solitary bees in agricultural landscapes. </p>
MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park
<p>We present a long-term and high-resolution phenological dataset from 17 wildflower species collected in Mt. Rainier National Park, as part of the MeadoWatch (MW) community science project. Since 2013, 500+ unique volunteers and scientists have gathered data on the timing of four key reproductive phenophases (budding, flowering, fruiting, and seeding) in 28 plots over two elevational gradients alongside popular park trails. Trained volunteers (87.2%) and UW scientists (12.8%) collected data 3-9 times/week during the growing season, using a standardized method. Taxonomic assessments were highly consistent between scientists and volunteers, with high accuracy and specificity across phenophases and species. Sensitivity, on the other hand, was lower than accuracy and specificity, suggesting that a few species might be challenging to reliably identify in community-science projects. Up to date, the MW database includes 42,000+ individual phenological observations from 17 species, between 2013 and 2019. However, MW is a living dataset that will be updated through continued contributions by volunteers, and made available for its use by the wider ecological community.</p>
Data from: Contrasting effects of spatial heterogeneity and environmental stochasticity on population dynamics of a perennial wildflower
Understanding how variation in growth, survival and reproduction affect population dynamics is a fundamental question in ecology. Although the effects of among-year variation (environmental stochasticity) are well understood, the effects of among-site variation (spatial heterogeneity) are less clearly defined. I evaluated the effects of spatial and temporal variation on the population dynamics of Pulsatilla patens, pasqueflower, a perennial prairie forb. I conducted a 10-year demographic monitoring study, and quantified vital rate variation among sites and years using generalized linear models. I incorporated vital rate functions using this variation into integral projection models for stochastic and spatially heterogeneous environments. I also explored the effects of temporal and spatial autocorrelation, by exploring model predictions over the range of possible values for temporal autocorrelation and local seed dispersal. Vital rates varied more among years than among sites. However, environmental stochasticity and spatial heterogeneity had similar magnitude effects on population dynamics. These effects were also qualitatively different: environmental stochasticity reduced population growth rates relative to the average, whereas spatial heterogeneity increased population growth rates. Spatial autocorrelation and negative temporal autocorrelation led to higher population growth rates, although environmental stochasticity still reduced growth rates for all autocorrelation values, and spatial heterogeneity increased growth rates for all autocorrelation values. Some form of autocorrelation would be necessary for model projections to match observed population trends. Synthesis. Spatial heterogeneity is as important as environmental stochasticity for population dynamics, but it is much less often incorporated into population projection models. This study points to a number of interesting avenues for future research into the roles of spatial heterogeneity and spatiotemporal variation for long-term population dynamics.
Data from: Contrasting effects of spatial heterogeneity and environmental stochasticity on population dynamics of a perennial wildflower
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Data from: Establishment of wildflower fields in poor quality landscapes enhances micro-parasite prevalence in wild bumble bees
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Wildflower strips enhance wild bee reproductive success
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MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park
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Data from: Pollinator-mediated assemblage processes in California wildflowers
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Wildflower composition of DLR pollinator sites 2019
<p>Species list and releve data representing wildflower composition of 17 pollinator sites in the Dun Laoghaire-Rathdown county council municipal area of Dublin, Ireland, collated in May/June 2019 as part of Stephen Mulkearn's undergraduate Bachelor of Science in Environmental Biology thesis, supervised by Tamara Hochstrasser Phd.</p>
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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.