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9 results for “Pollinator monitoring”
Citizen science in pollinator monitoring: Current approaches, challenges and recommendations
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Data from: Pollination on the dark side: acoustic monitoring reveals impacts of a total solar eclipse on flight behavior and activity schedule of foraging bees
The total solar eclipse of 21 August 2017 traversed ~5000 km from coast to coast of North America. In its 90-min span, sunlight dropped by three orders of magnitude and temperature by 10–15°C. To investigate impacts of these changes on bee (Hymenoptera: Apoidea) pollinators, we monitored their flights acoustically in natural habitats of Pacific Coast, Rocky Mountain, and Midwest regions. Temperature changes during the eclipse had little impact on bee activity. Most of the explained variation (R2) in buzzing rate was attributable to changes in light intensity. Bees ceased flying during complete darkness at totality, but flight activity was unaffected by dim light in partial phases before and after totality. Flights of bees during partial phases of the eclipse lasted longer than flights made under full sun, showing that behavioral plasticity matched bee flight properties to changes in light intensity during the eclipse. Efforts of citizen scientists, including hundreds of school children, contributed to the scope and educational impact of this study.
Data from: Monitoring insect pollinators and flower visitation: the effectiveness and feasibility of different survey methods
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Data from: Pollination on the dark side: acoustic monitoring reveals impacts of a total solar eclipse on flight behavior and activity schedule of foraging bees
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Data from: Pollinator Monitoring More than Pays for Itself
<p>Resilient pollination services depend on sufficient abundance of pollinating insects over time. Currently, however, most knowledge about the status and trends of pollinators is based on changes in pollinator species richness and distribution only.</p> <p>Systematic, long-term monitoring of pollinators is urgently needed to provide baseline information on their status, to identify the drivers of declines and to inform suitable response measures.</p> <p>We evaluated the full economic costs of implementing four potential national monitoring schemes in the United Kingdom, based on power analyses that estimated sample sizes required to detect a 30% national scale change in pollinator populations over 10 years: 1) professional pollinator monitoring, 2) professional pollination service monitoring, 3) volunteer collected pan-traps and 4) volunteer focal floral observations. These costs were compared to: i) the costs of implementing separate, expert-designed, research and monitoring networks and ii) the economic benefits of pollination services threatened by pollinator loss.</p> <p>Estimated scheme costs ranged from £6,159/year for a 75 site volunteer focal flower observation scheme to £2.7M/year for an 800 site professional pollination service monitoring network. The estimated research costs saved by using the site network as research infrastructure range from £1.46-17M/year. The economic value of UK crop yield lost following a 30% decline in pollinators was estimated at ~£188M/year.</p> <p><i>Synthesis and applications</i>. We evaluated the full costs of running pollinator monitoring schemes against the economic benefits to research and society they provide. The annual costs of monitoring are ≤0.02% of the estimated annual loss to UK crop production from a 30% decline in crop pollination services. Furthermore, by providing high quality scientific data, monitoring schemes would save at least £1.5 on data collection per £1 spent. Our findings demonstrate that long-term systematic monitoring can be a cost-effective tool for both addressing key research questions and setting action points for policy-makers. Careful consideration must be given to scheme design, the logistics of national-scale implementation and resulting data quality when selecting the most appropriate combination of surveyors, methods and site networks to deliver a successful scheme. </p>
Area wide monitoring of plant and honey bee (Apis mellifera) viruses in blueberry (Vaccinium corymbosum) agroecosystems facilitated by honey bee pollination
<p>Metadata associated with plant and bee virus identification on blueberry farms</p>
Data from: Pollinator Monitoring More than Pays for Itself
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Data from: Diel activity, frequency and visit duration of pollinators in focal plants: in situ automatic camera monitoring and data processing
Data collection on interactions between organisms and their environment has traditionally been conducted by on-site human observations, a time-consuming enterprise that could explain the shortage of around-the-clock observations of free-ranging wild animals. In this paper, I outline a time-efficient procedure to collect data on flower-visiting animals. The objectives were, first, to model diel activity rhythms by using cosine-based mixed-effects regression models (cosinor method) on data from an established automatic video monitoring system and, secondly, to test the use of a cheap off-the-shelf digital camera modified for automated monitoring of flower visitors. Two different model systems were studied: foraging bumblebees visiting focal white clovers, monitored around-the-clock (193 h) to model diel activity; and honeybees visiting thistles, monitored over a shorter period (5 h) to test the applicability and reliability of a new method for monitoring pollinators. The data were automatically entered and processed using R-scripts after manual filtering of the images, obviating the need for manual data entry prior to analysis. For diel activity in bumblebees, the model that gave the best fit included the 24-h fundamental period and one harmonic, a 12-h period to modulate the signal, together with temperature. The bumblebees were exclusive diurnal, with activity starting about 5 h after sunrise, peaking sharply in the afternoon and ending about 1 h before sunset. In addition to time of day, activity also increased with temperature. The off-the-shelf digital camera, Canon PowerShot®, with motion detection script, was triggered by every flower-visiting honeybee. In addition to recorded visitor frequency and visitor duration, it enabled high-resolution images, which could be important for species identification. Automatic camera recording is advantageous for close-up monitoring, compared with continuous video recording, because the latter demands more time and effort in reviewing the material. It could be used to study a range of different species such as pollinators, on-plant behaviour of herbivorous animals, cavity dwellers or cavity breeders. Moreover, the procedures for automatic data entry, data processing and statistical analysis for modelling diel activity rhythms could have great relevance for researchers using other types of camera monitoring systems operating 24 h per day.
Data from: Diel activity, frequency and visit duration of pollinators in focal plants: in situ automatic camera monitoring and data processing
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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)
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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.