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77 results for “flight activity”
Relationship between walking activity and flight activity in the red flour beetle <em>Tribolium castaneum</em>
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Data from: Activity and migratory flights of individual free-flying songbirds throughout the annual cycle: method and first case study
We describe a method and device (< 1.2 g) for recording, processing and storing data about activity and location of individuals of free-living songbirds throughout the annual cycle. Activity level was determined every five minutes from five 100 ms samples of accelerometer data with 5 s between the sampling events. Activity levels were stored on an hourly basis throughout the annual cycle, allowing periods of resting/sleep, continuous flight and intermediate activity (foraging, breeding) to be distinguished. Measurements from a light sensor were stored from preprogrammed key stationary periods during the year to provide control information about geographic location. Successful results, including annual actogram, were obtained for a red-backed shrike Lanius collurio carrying out its annual loop migration between northern Europe and southern Africa. The shrike completed its annual migration by performing > 66 (max. 73) nocturnal migratory flights (29 flights in autumn and > 37, max. 44, in spring) adding up to a total of > 434 (max. 495) flight hours. Migratory flights lasted on average 6.6 h with maximum 15.9 h. These flights were aggregated into eight travel episodes (periods of 4–11 nights when flights took place on the majority of nights). Daytime resting levels were much higher during the winter period compared to breeding and final part of spring migration. Daytime resting showed peaks during days between successive nocturnal flights across Sahara, continental Africa and the Arabian Peninsula, indicating that the bird was mostly sleeping between these long migratory flights. Annual activity and flight data for free-living songbirds will open up many new research possibilities. Main topics that can be addressed are e.g. migratory flight performance (total flight investment, numbers and characteristics of flights), timing of stationary periods, activity patterns (resting/sleep, activity level) in different phases of the annual cycle and variability in the annual activity patterns between and within individuals.
Data from: Predicting forest insect flight activity: a Bayesian network approach
Daily flight activity patterns of forest insects are influenced by temporal and meteorological conditions. Temperature and time of day are frequently cited as key drivers of activity; however, complex interactions between multiple contributing factors have also been proposed. Here, we report individual Bayesian network models to assess the probability of flight activity of three exotic insects, Hylurgus ligniperda, Hylastes ater, and Arhopalus ferus in a managed plantation forest context. Models were built from 7,144 individual hours of insect sampling, temperature, wind speed, relative humidity, photon flux density, and temporal data. Discretized meteorological and temporal variables were used to build naïve Bayes tree augmented networks. Calibration results suggested that the H. ater and A. ferus Bayesian network models had the best fit for low Type I and overall errors, and H. ligniperda had the best fit for low Type II errors. Maximum hourly temperature and time since sunrise had the largest influence on H. ligniperda flight activity predictions, whereas time of day and year had the greatest influence on H. ater and A. ferus activity. Type II model errors for the prediction of no flight activity is improved by increasing the model's predictive threshold. Improvements in model performance can be made by further sampling, increasing the sensitivity of the flight intercept traps, and replicating sampling in other regions. Predicting insect flight informs an assessment of the potential phytosanitary risks of wood exports. Quantifying this risk allows mitigation treatments to be targeted to prevent the spread of invasive species via international trade pathways.
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.
FIGURES 17–21. Flight activities grouped into weekly intervals and summarized from material collected over 7 in The Helicopsyche (Feropsyche) (Insecta, Trichoptera, Helicopsychidae) from Barro Colorado Island, Panama
FIGURES 17–21. Flight activities grouped into weekly intervals and summarized from material collected over 7 years by light trap at Barro Colorado Island, Panama. 17, Helicopsyche incisa Ross; 18, Helicopsyche tuxtlensis BuenoSoria; 19, Helicopsyche vergelana Ross; 20, Helicopsyche woldai sp. n.; 21, Helicopsyche fridae sp.n.
Flight activity and age cause wing damage in house flies
<p>Wing damage attenuates aerial performance in many flying animals such as birds, bats and insects. Especially insect wings are fragile and light in order to reduce inertial power requirements for flight at elevated wing flapping frequencies. There is a continuing debate on the factors causing wing damage in insects including collisions with objects, mechanical stress during flight activity, and aging. This experimental study is engaged with the reasons and significance of wing damage for flight in the house fly <i>Musca domestica</i>. We determined natural wing area loss under two housing conditions and recorded flight activity and flight ability throughout the animals' lifetime. Our data show that wing damage occurs on average after 6 h of flight, is sex-specific, and depends on housing conditions. Statistical tests show that both physiological age and flight activity have similar significance as predictors for wing damage. Tests on freely flying flies showed that minimum wing area for active flight is approximately 10-34% below the initial area and requires a left-right wing area asymmetry of less than approximately 25%. Our findings broadly confirm predictions from simple aerodynamic theory based on mean wing velocity and area, and are also consistent with previous wing damage measurements in other insect species.</p>
A qualitative assessment of limits of active flight in low density atmospheres
<p>Supplementary video files for the "A qualitative assessment of limits of active flight in low density atmospheres". <br><br>Supplementary Dataset S1 contains the following video files recorded from the stereo camera no.1: <br><br></p> <p>1) flies_2_N2_gstream1.mp4 - video showing the experiment with flushing with N2 (first repetition).</p> <p>2) flies_2_N2_2_gstream1_1.mp4 - video showing the experiment with flushing with N2 (second repetition).</p> <p>3) flies_2_N2_3_gstream1_1.mp4 - video showing the experiment with flushing with N2 (third repetition).</p> <p>4) flies_1__He_gstream1_1.mp4 - video showing the experiment with flushing with He (first repetition)</p> <p>5) flies_2_He_2_gstream1_1.mp4 - video showing the experiment with flushing with He (second repetition)</p> <p>6) flies_2_He_3_gstream1_1.mp4 - video showing the experiment with flushing with He (third repetition)</p> <p> </p>
Figure 2. Mean monthly temperatures per year for the period April 1998 in Effect of temperature on the flight activity of culicids in Buenos Aires City, Argentina
Figure 2. Mean monthly temperatures per year for the period April 1998 to March 2001, and minimum, maximum and mean temperatures for the period 1861–2003. Buenos Aires City.
Figure 1 in Effect of temperature on the flight activity of culicids in Buenos Aires City, Argentina
Figure 1. Collection sites of mosquitoes using CDC light traps. Buenos Aires City, April 1998 to March 2001.
Figure 4 in Effect of temperature on the flight activity of culicids in Buenos Aires City, Argentina
Figure 4. Median, quartiles and thermal amplitude of capture events according to the mean temperature of the day at which they were recorded. Species are ranked from higher to lower thermal amplitudes (indicated in brackets).
Figure 3 in Effect of temperature on the flight activity of culicids in Buenos Aires City, Argentina
Figure 3. Proportion of captures by season and species. Buenos Aires City, April 1998 to March 2001.
Figure 10. Mean male and female abundance with 95 in Diurnal flight activity of Ichneumonidae (Insecta: Hymenoptera) in Cabañeros National Park (Spain)
Figure 10. Mean male and female abundance with 95% confidence intervals for each period. Significant differences between periods (as measured by Tukey tests) in italics.
Figure 8 in Diurnal flight activity of Ichneumonidae (Insecta: Hymenoptera) in Cabañeros National Park (Spain)
Figure 8. Scatter plot for numbers of individuals against humidity. The estimated normal curve is represented.
Figure 7 in Diurnal flight activity of Ichneumonidae (Insecta: Hymenoptera) in Cabañeros National Park (Spain)
Figure 7. Scatter plot for numbers of individuals against temperature. The estimated normal curve is represented.
Figure 6 in Diurnal flight activity of Ichneumonidae (Insecta: Hymenoptera) in Cabañeros National Park (Spain)
Figure 6. All samples distributed in a two-dimensional plot according to the factors obtained with the principal components analysis. Each sample is represented by the sampling hour and the sampling day (first, second or third). Similar samples are grouped by ellipses.
Figure 4 in Diurnal flight activity of Ichneumonidae (Insecta: Hymenoptera) in Cabañeros National Park (Spain)
Figure 4. Relationship between species richness and number of individuals trapped per sampling hour.
Figure 3 in Diurnal flight activity of Ichneumonidae (Insecta: Hymenoptera) in Cabañeros National Park (Spain)
Figure 3. Number of individuals and number of species trapped per sampling hour. Discontinuous lines separate the three sampling days.
Figure 2 in Diurnal flight activity of Ichneumonidae (Insecta: Hymenoptera) in Cabañeros National Park (Spain)
Figure 2. Hourly totals of trapped Ichneumonidae related to air temperature, relative humidity and illuminance over three sampling days.
Figure 5 in Diurnal flight activity of Ichneumonidae (Insecta: Hymenoptera) in Cabañeros National Park (Spain)
Figure 5. Diurnal flight activity for both sexes in the three sampling days, against air temperature.
Figure 11 in Diurnal flight activity of Ichneumonidae (Insecta: Hymenoptera) in Cabañeros National Park (Spain)
Figure 11. Mean values for richness (left) and Margalef index (right) with 95% confidence interval for each period. Significant differences between periods (as indicated by Tukey tests) in italics.
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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)
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.