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17 results for “flight patterns”
Data for: "Continental-scale patterns in diel flight timing of high-altitude migratory insects"
<p>This dataset contains the proportional migratory insect intensity and traffic data used in Haest <em>et al.</em> (2024) to quantify patterns in diel flight periodicity of migratory insects between 50-500m above ground level during March-October 2021 using a network of seventeen vertical-looking radars across Europe. Please see the Materials and Methods section in Haest <em>et al.</em> (2024) for more details on the dataset. </p>
Harnessing the power of digitized natural history collections to visualize spatiotemporal patterns in native and non-native bee flight phenology
<p>What time of year are bees flying, where are they flying, and how do biogeographical factors, sex, and native status affect flight phenology? Consistent monitoring along with creating spatially and temporally explicit visualizations using large openly available data sets enhance our understanding of trends in flight time phenology and shape our understanding of bee-plant interactions, including shifts in the phenology of bee pollinators.</p> <p>Species occurrence data from digitized collection networks (iNaturalist, Global Biodiversity Information Faculty (GBIF), Integrated Digitized Biocollections (iDigBio), Symbiota Collections of Arthropods Network (SCAN), and UC Santa Barbara Collection Network) are part of an effort to improve our understanding of bees in coastal Santa Barbara County, including the California Channel Islands. New inventory collections combined with historical data from over 11 natural history museums and 2 observation networks are used in an effort to examine patterns and changes in phenology of native and non-native bee species, and create updated species inventories.</p> <p>Synthesizing species observation data from digitized natural history collections makes use of a wealth of existing data and multiplies the analytical power of isolated observations, but it is not without limitations and challenges. By exploring novel techniques to generate clear and accurate visualizations to communicate bee flight time, we present our key initial findings and identify geographic, temporal, and taxonomic gaps, which will lead to further focused inventory projects of coastal Santa Barbara County, improved data quality for phenological analyses, and reusable methods for visualizing insect phenology data across taxa or geography.</p> <p><strong>The attached files include the R code and some of the .csv files used to produce the figures in my poster that was available on demand at the Entomology Society of America 2020 virtual meeting. </strong></p>
Fig. 4 in Diel flight activity patterns of the red palm weevil (Coleoptera: Curculionidae) as monitored by smart traps
Fig. 4. Diel pattern for the mean total number of red palm weevils (RPW) captured per trap during the 62 d trapping period. Columns headed by the same letter are not significantly different from each other.
Fig. 3 in Diel flight activity patterns of the red palm weevil (Coleoptera: Curculionidae) as monitored by smart traps
Fig. 3. Mean temporal distributions of adult male (A), female (B), and total (C) red palm weevils captured in STs over the 24 h diel cycle. Each circle represents 4, 16, and 19 weevils in A, B, and C, respectively.
Fig. 5 in Flight patterns and sex ratio of beetles of the subfamily Dynastinae (Coleoptera, Melolonthidae)
Fig. 5. Spearman correlation between sex ratio and rainfall of: (A) Cyclocephala distincta; (B) C. paraguayensis; (C) Tomarus ebenus; (D) L. (Ligyrus) cuniculus.
Temporal mismatches in flight activity patterns between Pipistrellus kuhlii and Prays oleae in Mediterranean olive farms: Implications for biocontrol services potential
<ol> <li>Biocontrol services are widely recognized as providing key incentives for bat conservation. However, we have virtually no information on whether and how disruptions in bat-mediated biocontrol services are driven by mismatches between the temporal activity patterns of insectivorous bats and insect pests.</li> <li>2. We investigated the temporal relationship between the nightly activity patterns of the common pipistrelle bat (<em>Pipistrellus</em> <em>kuhlii</em>) and the olive fruit moth (<em>Prays</em> <em>oleae</em>). Temporal mismatches between species pairs were estimated as the time difference (expressed as a percentage of the night) at which <em>P. kuhlii </em>and<em> P. oleae</em> reached 50% of their abundance.</li> <li>The study was carried out during spring, summer, and fall between 2017 and 2019 in 60 olive farms representing increasing levels of structural simplification (as a surrogate of agricultural intensification). Olive farms were classified as exhibiting high (i.e., HIGH olive farms; n = 27), intermediate (MID; n = 18), and low (LOW; n = 15) structural complexity. </li> <li>Temporal mismatches between the activity levels of<em> P. kuhlii </em>and<em> P. oleae</em> varied between seasons and types of olive farms, being comparatively lower in summer than in spring and fall. Furthermore, summer was the only season in which temporal mismatches between species pairs differed between types of olive farms, with higher temporal mismatches found in LOW than in HIGH and MID olive farms.</li> <li>Overall, our work demonstrates the existence of temporal mismatches between the nightly activity patterns of <em>P. kuhlii </em>and<em> P. oleae</em>. Furthermore, it demonstrates that the structural simplification of olive farms increases temporal mismatches between species pairs, particularly in summer when bat-mediated biocontrol services are most needed.</li> <li> <em>Synthesis and applications</em>. Future research should consider mismatches between the temporal activity patterns of insectivorous bats and insect pests. Otherwise, the actual impact of agricultural intensification on bat-mediated biocontrol services as well as the economic impact of their loss on the agriculture industry might be underestimated. To enhance biocontrol services, we propose increasing the availability of suitable roosting and foraging sites as well as conserving areas of remnant native woodland and scattered hollow-bearing trees.</li> </ol>
Fig. 1 in Diel flight activity patterns of the red palm weevil (Coleoptera: Curculionidae) as monitored by smart traps
Fig. 1. External (A) and internal (B) sections of the ST.
Fig. 2 in Diel flight activity patterns of the red palm weevil (Coleoptera: Curculionidae) as monitored by smart traps
Fig. 2. Daily mean numbers of captured red palm weevils in STs and CTs.
Temporal mismatches in flight activity patterns between Pipistrellus kuhlii and Prays oleae in Mediterranean olive farms: Implications for biocontrol services potential
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Data from: Consistent coordination patterns provide near perfect behavior decoding in a comprehensive motor program for insect flight
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Data from: Individual and sex-related patterns of prolonged flights during both day and night by great reed warblers crossing the Mediterranean Sea and Sahara Desert
<p>A wide variety of the barrier crossing strategies exist among migrating songbirds, ranging from strict nocturnal flights to non-stop flights over a few days. We evaluate barrier crossing strategies in a nocturnally migrating songbird crossing the Mediterranean Sea and the Sahara Desert, the great reed warbler, exploring variation between the sexes and within individuals. We used data from 31 year-round light-level geolocators tracks from 26 individuals (13 males and 13 females), with four individuals tracked for 2–3.5 consecutive years. Almost all individuals (25 of 26) prolonged their flights into the day at least on one occasion. The mean duration of these prolonged flights was 19.9 h and did not differ between sexes or seasons. Fifteen birds performed non-stop flights during more than one full day and night (≥ 24 h; mean = 31.9 h; max = 55 h) in autumn and/ or spring, but these flights were generally too short to cross an entire barrier (such as the Sahara Desert) in one non-stop flight. Patterns of prolonged flights showed considerable within-individual variation in females between seasons (autumn versus spring) and in both males and females between years, suggesting high individual flexibility in migration strategy. Significantly more males than females performed prolonged flights during autumn migration, but not spring, possibly reflecting sex-specific carry-over effects. We conclude that great reed warblers have the ability to conduct prolonged continuous flights for up to several nights and days, which potentially would allow them to cross the Sahara Desert in one non-stop flight. However, they typically use a mixed strategy of several nocturnal flights with intermittent stopovers in combination with 1–3 prolonged flights. Prolonged flights covered less than half (44%) of the total flight time across the barriers, and the diurnal parts of the flights covered only 18% of this time.</p>
Data from: Individual and sex-related patterns of prolonged flights during both day and night by great reed warblers crossing the Mediterranean Sea and Sahara Desert
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Fig. 4 in Flight patterns and sex ratio of beetles of the subfamily Dynastinae (Coleoptera, Melolonthidae)
Fig. 4. Circular histogram showing peak flight activity of: (A) Cyclocephala cearae; (B) C. distincta; (C) Dyscinetus dubius; (D) Stenocrates holomelanus; (E) C. paraguayensis; (F) Ligyrus (Ligyrus) cuniculus, during one year of collection using light trap at Campo de Instrução Marechal Newton Cavalcanti, Abreu e Lima, PE, Brazil. Black line = mean vector and confidence interval.
Fig. 3 in Flight patterns and sex ratio of beetles of the subfamily Dynastinae (Coleoptera, Melolonthidae)
Fig. 3. Rainfall effect in the most abundant tribes of Dynastinae (Melolonthidae), during one year of collection using light trap at Campo de Instrução Marechal Newton Cavalcanti, Abreu e Lima, PE, Brazil: (A) Mean abundance of Cyclocephalini beetles, recorded monthly, between December 2010 and November 2011 (except April 2011). (B) Mean abundance of Pentodontini beetles, recorded monthly, between December 2010 and November 2011 (except April 2011). (C) Rainfall, recorded monthly, between December 2010 and November 2011 (except April 2011).
Fig. 1 in Flight patterns and sex ratio of beetles of the subfamily Dynastinae (Coleoptera, Melolonthidae)
Fig. 1. Map showing sampling site: (A) Pernambuco State represented in black. (B) Black dot representing Campo de Instrução Marechal Newton Cavalcanti, Abreu e Lima, Pernambuco, Brazil. (C) Black dot representing sampling site at Marechal Newton Cavalcanti, Abreu e Lima, Pernambuco, Brazil.
Fig. 2 in Flight patterns and sex ratio of beetles of the subfamily Dynastinae (Coleoptera, Melolonthidae)
Fig. 2. Light trap model used for beetle sampling: (A) Black light bulb. (B) Mixed mercury bulb. (C) Light support.
Discovery of Abnormal Flight Patterns in Flight Track Data
The National Airspace System (NAS) is an ever changing and complex engineering system. As the Next Generation Air Transportation System (NextGen) is developed, there will be an increased emphasis on safety and operational and environmental efficiency. Current operations in the NAS are monitored using a variety of data sources, including data from flight recorders, radar track data, weather data, and other massive data collection systems. Although numerous technologies exist to monitor the frequency of known but undesirable behaviors in the NAS, there are currently few methods that can analyze the large repositories to discover new and previously unknown events in the NAS. Having a tool to discover events that have implications for safety or incidents of operational importance, increases the awareness of such scenarios in the community and helps to broaden the overall safety of the NAS, whereas only monitoring the frequency of known events can only provide mitigations for already established problems. This paper discusses a novel approach for discovering operationally significant events in the NAS that are currently not monitored and have potential safety and/or efficiency implications using radar-track data. This paper will discuss the discovery algorithm and describe in detail some flights of interest with comments from subject matter experts who are familiar with the operations in the airspace that was studied.
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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.