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43 results for “Insect trapping”
Pan trap and plant-flower visitor observation data for: Multi-species crop mixtures increase insect biodiversity in an intercropping experiment
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Light and malaise traps tell different stories about the spatial variations in arthropod biomass and method-specific insect abundance
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Climate change is leading to an ecological trap in a migratory insect
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Insects caught in pitfall traps: Trophic Structure: Insect Species Diversity, Abundance and Body Size
The goal of this study was to examine the populations of insects in prairies and savannas. Most of the prairies had developed after being abandoned from agriculture, but none of the savannas had been cultivated. The history of burning varied between sites. The main sampling for this study was conducted in 1992 by the lead investigators: John Haarstad, Evan Siemann, and David Tilman. Insects were sampled via sweep-net sampling, pitfalls and ant scent plates throughout the growing season in each of 49 grassland fields and savannas. In total, 89,596 individuals of 1,167 species were captured and enumerated. Body size was measured for a subset of grasshoppers collected. In 2004, John Haarstad conducted two similar studies by identifying and enumerating all insects collected in sweepnet samples taken in old fields (prairies) as part of E014 grasshopper studies and from sweepnet samples taken in savannas.
Data from: Optimising sampling of flying insects using a modified window trap
Insect populations are globally declining but standardized long‐term data to evaluate trends and consequences are largely missing. One difficulty among many is the rather narrow taxonomic cover of most conventional trap types, which makes the use of several complementary collection methods necessary to achieve comprehensive coverage. To avoid the effort associated with operating multiple traps, we demonstrate how to modify window traps in a simple and standardizable way to capture a wider range of flying insect taxa. While a typical window trap only has a collection unit below the windows, we added an additional collection unit on top of the windows. We tested this modified trap design in 135 study plots in a temperate forest over 5 months and compared trap catches between top and bottom collection units. The top collection unit captured considerably more individuals of Hymenoptera, Diptera, Lepidoptera, Neuroptera, Auchenorrhyncha and Thysanoptera than the bottom collection unit. In contrast, there were more individuals of Coleoptera, Heteroptera, Sternorrhyncha and Psocoptera in the bottom collection unit. Both collection units captured a highly distinct insect community and patterns were consistent throughout the season. These modified traps are suitable for collecting a broader range of flying insects compared to conventional window traps. The additional top unit is fast and easy to build and the traps require little maintenance while operating in the field. These characteristics make modified window traps with top and bottom collection units a promising tool for standardized and replicable biodiversity studies covering a broad range of insect taxa.
Data from: Low-cost automated flight intercept trap for the temporal sub-sampling of flying insects attracted to artificial light at night
<p>Sampling methods are selected depending on the targeted species or the spatial and temporal requirements of the study. However, most methods for passive sampling of flying insects have poor temporal resolution because it is time consuming, costly and/or logistically difficult. Effective sampling of flying insects attracted to artificial light at night (ALAN) requires sampling at user-defined time points (nighttime only) across well-replicated sites resulting in major time and labor-intensive survey effort or expensive automated technologies. Described here is a low-cost automated intercept trap that requires no specialist equipment or skills to construct and operate, making it a viable option for studies that require temporal sub-sampling across multiple sites. The trap can be used to address a wide range of other ecological questions that require a greater temporal and spatial scale than is feasible with previous trap technology.</p>
Supplementary material 3 from: Swenson SJ, Eichler L, Hörren T, Kolter A, Köthe S, Lehmann GUC, Meinel G, Mühlethaler R, Sorg M, Gemeinholzer B (2022) The potential of metabarcoding plant components of Malaise trap samples to enhance knowledge of plant-insect interactions. Metabarcoding and Metagenomics 6: e85213. https://doi.org/10.3897/mbmg.6.85213
Supplementary material 3 from: Swenson SJ, Eichler L, Hörren T, Kolter A, Köthe S, Lehmann GUC, Meinel G, Mühlethaler R, Sorg M, Gemeinholzer B (2022) The potential of metabarcoding plant components of Malaise trap samples to enhance knowledge of plant-insect interactions. Metabarcoding and Metagenomics 6: e85213. https://doi.org/10.3897/mbmg.6.85213
Fig. 2 in A Solar-Powered UV Light Trap for Long-Term Monitoring of Insects in Remote Habitats
Fig. 2. The solar-powered UV light trap in A) stabilized-vegetated sands, B) open sand dunes, and C) agricultural crop margin. Note that in addition to the components in Fig. 1, 6–8 ft (1.8–2.4 m) pieces of steel rebar and wire are used to position the solar panel.
Fig. 1 in A Solar-Powered UV Light Trap for Long-Term Monitoring of Insects in Remote Habitats
Fig. 1. Exploded view of solar-powered UV light trap, with component labels corresponding to the items in Table 1. The light trap components battery (n), ballast box (a), photoelectric switch (g), and battery clamps (l) were put inside a second bucket to protect them from corrosion and overheating.
Fig. 2 in Collecting Insects Associated with Wetland Vegetation: An Improved Design for a Floating Pitfall Trap
Fig. 2. Trap in situ, approximately 0.5 m deep water with surface covered by aquatic macrophytes and debris.
Fig. 1 in Collecting Insects Associated with Wetland Vegetation: An Improved Design for a Floating Pitfall Trap
Fig. 1. Line drawing depicting our design for an improved floating pitfall trap (with gardening stake at left). Lead weights are not depicted in the jar.
of central in) KCC (Cave Chakan Khao and) KWC ( Cave] Wongkot Acari and, Khao Dermaptera at 2016, September Isoptera, to 2015 Plecoptera, October Psocoptera during, traps Blattodae, suction Odonata in, collected Trichoptera insects, of Orthoptera mass include dry Percent Others [ .. 2. Thailand ABLE T in The wrinkle-lipped free-tailed bat (Chaerephon plicatus Buchannan, 1800) feeds mainly on brown planthoppers in rice fields of central Thailand
of central in) KCC (Cave Chakan Khao and) KWC ( Cave] Wongkot Acari and, Khao Dermaptera at 2016, September Isoptera, to 2015 Plecoptera, October Psocoptera during, traps Blattodae, suction Odonata in, collected Trichoptera insects, of Orthoptera mass include dry Percent Others [ .. 2. Thailand ABLE T
Data from: Low-cost automated flight intercept trap for the temporal sub-sampling of flying insects attracted to artificial light at night
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Data from: Optimising sampling of flying insects using a modified window trap
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Camera traps for monitoring insects - supporting information
<p>Insect and pollinator populations are vitally important to the health of ecosystems, food production, and economic stability, but are declining worldwide. New, cheap, and simple monitoring methods are necessary to inform management actions and should be available to researchers around the world.</p> <p>Here we evaluate the efficacy of commercially available, close-focus automated camera traps to monitor insect-plant interactions. We compared two video settings—scheduled and motion-activated—to a traditional human observation method.</p> <p>Our results show that camera traps with scheduled video settings detected more insects overall than humans, but relative performance varied by insect order. Scheduled cameras significantly outperformed motion-activated cameras, detecting more insects of all orders and size classes.</p> <p>We conclude that scheduled camera traps are an effective and relatively inexpensive tool for monitoring interactions between plants and insects of all size classes, and their ease of accessibility and set-up allows for the potential of widespread use. The digital format of video also offers the benefits of recording, sharing, and verifying observations.</p>
Supplementary material 2 from: Swenson SJ, Eichler L, Hörren T, Kolter A, Köthe S, Lehmann GUC, Meinel G, Mühlethaler R, Sorg M, Gemeinholzer B (2022) The potential of metabarcoding plant components of Malaise trap samples to enhance knowledge of plant-insect interactions. Metabarcoding and Metagenomics 6: e85213. https://doi.org/10.3897/mbmg.6.85213
Table S2
Supplementary material 1 from: Swenson SJ, Eichler L, Hörren T, Kolter A, Köthe S, Lehmann GUC, Meinel G, Mühlethaler R, Sorg M, Gemeinholzer B (2022) The potential of metabarcoding plant components of Malaise trap samples to enhance knowledge of plant-insect interactions. Metabarcoding and Metagenomics 6: e85213. https://doi.org/10.3897/mbmg.6.85213
Table S1
Yellow Sticky Trap Insect Images for Object Detection Training
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Figure 4. The 95 in Effects of agroecosystems on insect and insectivorous bat activity: a preliminary finding based on light trap and mist net captures
Figure 4. The 95% family-wise confidence level for multiple comparisons test based on insect orders (top left: Lepidoptera; top right: Diptera) and insectivorous bat species (bottom left: H. aff. ruber, bottom right: H. jonesi) analyses. FM - Full moon; FQM - first quarter moon; LQM - last quarter moon; NM - new moon.
Developing floral-baited traps to survey pollinators in insect-pollinated crops: findings from an oil palm case study
<p>In this study, we used oil palm as a case study system to trial a new trap design to selectively survey pollinators of insect pollinated crops. The trap consisted of a pan trap baited with half a male oil palm inflorescence at anthesis, with varying number of flowers open. To assess effectiveness of the trap across different environments, we set pairs of baited and non-baited control pan traps in habitat conditions ranging from young to mature palms, and continuous blocks of oil palm to strips of oil palm around rivers in industrial oil palm plantations in Riau, Indonesia. We identified all arthropods collected to order level or lower. </p>
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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.