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9 results for “Wild bees abundance”
Response of wild bee diversity, abundance and functional traits to vineyard inter-row management intensity and landscape diversity across Europe
<p>Data set used for analyses in the publication "Response of wild bee diversity, abundance and functional traits to vineyard inter-row management intensity and landscape diversity across Europe".</p> <p>First sheet in the Excel-file gives a detailed description of the abbreviations, terms etc. used in the following tables. Please also check the method section in the publication for the detailed description on how data were collected.</p> <p>If you have any questions feel free to contact Sophie Kratschmer via e-mail</p>
Data from: Wild bee abundance declines with urban warming, regardless of floral density
<p>As cities expand, conservation of beneficial insects is essential to maintaining robust urban ecosystem services such as pollination. Urban warming alters insect physiology, fitness, and abundance, but the effect of urban warming on pollinator communities has not been investigated. We sampled bees at 18 sites encompassing an urban warming mosaic within Raleigh, NC, USA. We quantified habitat variables at all sites by measuring air temperature, percent impervious surface (on local and landscape scales), floral density, and floral diversity. We tested the hypothesis that urban bee community structure depends on temperature. We also conducted model selection to determine whether temperature was among the most important predictors of urban bee community structure. Finally, we asked whether bee responses to temperature or impervious surface depended on bee functional traits. Bee abundance declined by about 41% per °C urban warming, and temperature was among the best predictors of bee abundance and community composition. Local impervious surface and floral density were also important predictors of bee abundance, although only large bees appeared to benefit from high floral density. Bee species richness increased with floral density regardless of bee size, and bee responses to urban habitat variables were independent of other life-history traits. Although we document benefits of high floral density, simply adding flowers to otherwise hot, impervious sites is unlikely to restore the entire urban pollinator community since floral resources benefit large bees more than small bees.</p>
Data and analyses for: Localised patterns of wild bee abundance indicate woodlands play multiple roles in supporting farmland populations
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Wild bumble bee colony abundance, scaled by field size, predicts pollination services
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Data from: Wild bee abundance declines with urban warming, regardless of floral density
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Data from: The effect of repeated, lethal sampling on wild bee abundance and diversity
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Data from: High-throughput monitoring of wild bee diversity and abundance via mitogenomics
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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>
Data from: Evaluating predictive performance of statistical models explaining wild bee abundance in a mass-flowering crop
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.