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15 results for “mosquito trapping”
Species-level estimated abundances and zero counts of nighttime collected female mosquitoes 2014 - 2022 (Derived from NEON Mosquitoes sampled from CO2 traps (DP1.10043.001, RELEASE-2024))
This Level 2 data package contains species level estimated abundances, including zero counts, and estimated mean number of female mosquitoes per trap derived from the NEON Mosquitoes sampled from CO2 traps (DP1.10043.001), RELEASE-2024 Level 0 data (https://doi.org/10.48443/3cyq-6v47). The data set includes mosquito records of traps collecting mosquito samples at night, for up to 24 trap hours, across a total of 20 terrestrial core and 27 terrestrial gradient sites from 2014 to 2022. To ensure high confidence in abundance estimates, records were only included when at least 90% of collected individuals were identified to sex, and 90% of female specimens were identified to species. Information across multiple QC/QA fields within the NEON mosquito data was evaluated to identify and exclude records where confidence in estimated abundances may have been compromised. Species level zero counts were added for all species collected at least once within the sampling year and trap location. Additionally, species level zero counts were included for trap events where only male mosquitoes had been collected or where QC/QA remarks indicated traps were inactive due to cold temperatures. The data set provides an analysis ready time series of estimated abundances across NEON sites and plots. An R Markdown file that contains descriptions of the QC/QA and data filtering steps along with annotated code, as well as data tables used to filter active and inactive trap events based on QC/QA fields, are published with the data package. Any questions about this data package should be directed to Amely Bauer listed under contacts.
Figure 3 in Mosquitoes (Diptera: Culicidae) in oviposition traps set in forest fragments of a semideciduous seasonal forest, Atlantic Forest domain, in the state of Rio Grande do Sul, Brazil
Figure 3. Mean abundance of mosquitoes collected in oviposition traps in three fragments of a semideciduous seasonal forest in the northwestern region of the state of Rio Grande do Sul, Brazil Means followed by the same letter do not differ by the Tukey test at <0.05. Vertical bars denote 1±SD. / Abundancia media de mosquitos recolectados en trampas de oviposición en tres fragmentos de un bosque estacional semideciduo en la región noroeste del estado de Rio Grande do Sul, Brasil. Las medias seguidas por la misma letra no difieren por la prueba de Tukey en <0,05. Las barras verticales denotan 1 ± SD.
Figure 1 in Mosquitoes (Diptera: Culicidae) in oviposition traps set in forest fragments of a semideciduous seasonal forest, Atlantic Forest domain, in the state of Rio Grande do Sul, Brazil
Figure 1. Location of three fragments of a semideciduous seasonal forest in the northwestern region of the state of Rio Grande do Sul, Brazil. URB: forest fragment located in the urban area of the city of Panambi-RS. RUR: forest fragment located in the rural area close to the urban area of Panambi-RS. NAT: forest fragment located in the rural area far from urban area of the city of Pejuçara-RS. / Ubicación de tres fragmentos de un bosque estacional semideciduo en la región noroeste del estado de Rio Grande do Sul, Brasil. URB: fragmento de bosque ubicado en el casco urbano de la ciudad de Panambi-RS. RUR: fragmento de bosque ubicado en el área rural cercana al área urbana de Panambi-RS. NAT: fragmento de bosque ubicado en el área rural alejada del área urbana de la ciudad de Pejuçara-RS.
Figure 2 in Mosquitoes (Diptera: Culicidae) in oviposition traps set in forest fragments of a semideciduous seasonal forest, Atlantic Forest domain, in the state of Rio Grande do Sul, Brazil
Figure 2. Cluster analysis (Morisita–Horn index) of the mosquitoes collected in oviposition traps in three fragments of a semideciduous seasonal forest in the northwestern region of the state of Rio Grande do Sul, Brazil. / Análisis de conglomerados (Índice Morisita-Horn) de los mosquitos recolectados en trampas de oviposición en tres fragmentos de un bosque estacional semideciduo en la región noroeste del estado de Rio Grande do Sul, Brasil.
Data from: Comparative assessment of a novel fan box trap for collecting Anopheles farauti and culicine mosquitoes alive in tropical north Queensland, Australia
<p>During preliminary mosquito surveys at Cowley Beach Training Area in north Queensland, Australia, it was found that the utility of the standard encephalitis virus surveillance (EVS) trap for collecting the malaria vector <em>Anopheles farauti</em> (Laveran) adults was compromised by the harsh tropical conditions. With the aim of increasing the survival rate of mosquitoes, we designed a downdraft fan box trap (FBT) that incorporated a screened fan at the bottom of the trap, so mosquitoes did not have to pass through a fan. The FBT was tested against the EVS and Centers for Disease Control (CDC) light traps, where mosquitoes do pass through a fan, and a nonpowered passive box trap (PBT). We conducted four trials to compare the quantity and survival of <em>An. farauti</em> and culicine mosquitoes were collected in these traps. Although not significant, the FBT collected more <em>An</em>. <em>farauti</em> than the EVS trap and PBT and significantly less <em>An. farauti</em> than the CDC light trap. However, the FBT improved on the CDC light trap in terms of the survival of <em>An</em>. <em>farauti</em> adults collected, with a significantly higher percentage alive in the FBT (74.6%) than in the CDC light trap (27.5%). Thus, although the FBT did not collect as many anophelines as the CDC, it proved to be superior to current trap systems for collecting large numbers of live and relatively undamaged mosquitoes. Therefore, it is recommended that FBTs be used for collecting <em>An. farauti</em> adults in northern Australia, especially when high survival and sample quality are important.</p>
Field mosquito trapping data for UAV trial I in Nakasi, Fiji (2018)
<p>Number of <em>Aedes aegypti</em>, coloured and not coloured (UM) were recorded daily for each trap for all 4 releases. Cumulative mosquito count was calculated by tallying mosquitoes collected over the monitoring period. Total number of traps that caught <em>Aedes aegypti</em> were counted and recorded. Average mosquito catch per trap was calculated by dividing the total number of mosquitoes caught by the number of traps that captured <em>Aedes aegypti</em> for each day.</p>
Data from: Comparative assessment of a novel fan box trap for collecting Anopheles farauti and culicine mosquitoes alive in tropical north Queensland, Australia
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Lure, retain, and catch malaria mosquitoes. How heat and humidity improve odour-baited trap performance
<p><b>Background:</b> When seeking a human for a blood meal, mosquitoes use several cues to detect and find their hosts. From this knowledge, counter-flow odour-baited traps have been developed that use a combination of CO<sub>2</sub>, odour-blend, visual cues and circulating airflow to attract and capture mosquitoes. Initially developed for monitoring, these traps are now also being considered as promising vector control tools. These traps are attractive to host-seeking mosquitoes, but their capture efficiency is low. It has been hypothesized that the lack of short-range host cues such as heat and increased local humidity often prevents mosquitoes from getting close enough to get caught; this lack might even trigger avoidance manoeuvres near the capture region.</p> <p><b>Methods:</b> We tested how close-range host cues affect the flight behaviour of <i>Anopheles </i>female malaria mosquitoes around odour-baited traps, and how this affects trap capture performance. For this, a novel counter-flow odour-baited trap was developed, the M-Tego. In addition to the usual CO<sub>2</sub> and odour-blend, this trap can provide the short-range host cues heat and humidity. By systematically adding or removing these two cues, we tested how this affected the trap capture percentages and flight behaviour. We first compared capture percentages of the M-Tego with and without short-range host cues to the BG-Suna trap, in both laboratory and semi-field testing. Then, we used machine-vision techniques to track the three-dimensional flight movements of mosquitoes around the M-Tego.</p> <p><b>Results:</b> With heat and humidity present, the M-Tego captured significantly more mosquitoes as capture percentages almost doubled. Comparing the flight behaviour around the M-Tego with variable close-range host cues showed that when these cues were present, flying mosquitoes were more attracted to the trap and spent more time there. In addition, we found that the M-Tego has a better capture mechanism than the BG-Suna, most likely because it does not elicit previously-observed upward avoiding manoeuvres.</p> <p><b>Conclusions:</b> Our results suggest that adding heat and humidity to an odour-baited trap lures more mosquitoes close to the trap and retains them there longer, resulting in higher capture performance. These findings support the development of control tools for fighting mosquito-borne diseases such as malaria.</p>
Do it yourself: 3D-printed miniature CDC trap for adult mosquito (Diptera: Culicidae) surveillance
<p>The central component of mosquito and vector surveillance programs globally is the adult mosquito trap, which is intended to collect host-seeking mosquitoes. The miniature CDC trap is a widely distributed trap style in part due to its relative affordability and compact nature. Despite already being a simple trap, in-house production methods, such as 3D printing, could improve the accessibility of the CDC trap by eliminating some of the supply chain variables. We present here several trials with the Salt Lake City (SLC) trap, a three-dimensional (3D) printed trap design. Functional assessments were made on secondary components and found no statistically significant differences when comparing CO<sub>2</sub> line height (above vs. below fan), battery types (sealed lead acid vs. USB battery pack), and trap body collection shape (funnel body vs. simple/straight body). The SLC trap was compared directly to a commercial equivalent, the ABC trap, with comparative assessment on species diversity and evenness in collections and found to be statistically equivalent on all metrics. Methods also detail an accompanying optional transport system for a pressurized CO<sub>2</sub>/regulator set-up, should a practitioner elect not to use dry ice. Our final design is presented here with the publicly published stereolithography (STL) files and a detailed outline of the transport container system. Alternative models are available for in-house manufacture of mosquito traps, and we contribute these designs in an effort to stimulate further growth in vector surveillance.</p>
Lure, retain, and catch malaria mosquitoes. How heat and humidity improve odour-baited trap performance
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Do it yourself: 3D-printed miniature CDC trap for adult mosquito (Diptera: Culicidae) surveillance
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Data from: Discovery and exploitation of a natural ecological trap for a mosquito disease vector
Ecological traps occur due to a mismatch between a habitat's attractiveness and quality, wherein organisms show preference for low-quality habitats over other available high-quality habitats. Our previous research identified leaf litter from common blackberry (Rubus allegheniensis) as a natural ecological trap for an important vector for West Nile virus (Culex pipiens), attracting mosquitoes to oviposit in habitats deleterious to the survival of their larvae. Here we demonstrate that manipulation of leaf litter in stormwater catch basins, an important source of disease vector mosquitoes in urban environments, can increase Cx. pipiens oviposition but reduce survival. In a series of experiments designed to elucidate the mechanisms that explain the attractive and lethal properties of this native plant, behavioral bioassays suggest that oviposition site selection by Cx. pipiens is mediated primarily by chemical cues as leaves decompose. However, we also show that juvenile mosquito survival mainly is related to the suitability of the bacterial community in the aquatic habitat for mosquito nutritional needs, which does not appear to create a cue that influences oviposition choice. This mismatch between oviposition cues and drivers of larval habitat quality may account for the ecological trap phenomenon detected in this study. Our findings provide new insights into potential mechanistic pathways by which ecological traps may occur in nature and proof-of-concept for a new 'attract-and-kill' tool for mosquito control.
Enhancing the efficiency of mosquito traps: A human skin microbial blend-based approach
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Supplementary material 1 from: Murray HL (2022) Florida Keys Mosquito Control District mosquito trapping data between Vaca Key and Lower Matecumbe Key, 2018-2021. Research Ideas and Outcomes 8: e96714. https://doi.org/10.3897/rio.8.e96714
Marathon Area Trap Data 2018-2021
Data from: Discovery and exploitation of a natural ecological trap for a mosquito disease vector
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