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10 results for “mosquito abundance”
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.
Data from: Worldwide impacts of landscape anthropization on mosquito abundance and diversity: a meta-analysis
<p><span>In recent decades, the emergence and resurgence of vector-borne diseases have been well documented </span><span>worldwide</span><span>, especially in tropical regions where protection and defence tools for human populations are still very limited. In this context, the </span><span>dynamics</span><span> of pathogens </span><span>are influenced by</span><span> landscape anthropization (i.e., urbanization, deforestation, and agricultural development)</span><span>,</span><span> and one of the mechanisms through which this occurs is a change in</span><span> the</span><span> abundance and/or diversity of the vectors. An increasing number of empirical studies </span><span>have </span><span>described heterogeneous effects of landscape anthropization on vector communities</span><span>; therefore</span><span>, it is difficult to have an overall picture of these effects on a global scale. Here, we performed a meta-analysis to quantify the impacts of landscape anthropization on a global scale on the presence/abundance and diversity of mosquitoes, the most important arthropods affecting human health. We obtained 338 effect sizes on 132 mosquito species, compiled from 107 studies in 52 countries </span><span>that</span><span> covered almost every part of the world. The results of the meta-analysis showed an overall decline of mosquito presence/abundance and diversity in response to urbanization, deforestation, and </span><span>agricultural</span><span> development, except for a few mosquito species</span><span> </span><span>that have been able to exploit landscape anthropization well. Our results highlighted that these few favoured mosquito species are those of global</span><span> concern. </span><span>They thus provide a better understanding of the overall effect of landscape anthropization on vector communities and</span><span>,</span><span> more importantly, suggest a greater risk of emergence and transmission of vector-borne diseases in human-modified landscapes.</span></p>
Figure 1 in Mosquito (Diptera: Culicidae) species richness and abundance across a tree-height gradient: does adding CO enhance the BG-Lure?
Figure 1. Study Site and Sampling Setting. (A) Monroe County in Indiana, USA. (B) Hickory Ridge Fire Tower and Nearest Weather Station within Monroe County. (C) BG-pro mosquito trap in CDC style. (D) Tower canopy height gradient. / Figura 1. Sitio de estudio y metodologÍa de muestreo. (A) Condado Monroe, Indiana, Estados Unidos. (B) Torre de avistamiento de incendios y estación meteorológica más cercana dentro del Condado Monroe. (C) Trampa de mosquitos BG-pro configurada en estilo CDC. (D) Gradiente de altitud arbórea.
Data from: Worldwide impacts of landscape anthropization on mosquito abundance and diversity: a meta-analysis
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The effects of progressive land use changes on the distribution, abundance and behavior of vector mosquitoes in Sabah, Malaysia
<b>Description: </b><p>The objectives of this study were:1) To investigate the effects of progressive land use change from pre-development forest, through forest clearing and cultivation to plantation maintenance on occurrence of vector mosquitoes.<br>2) To determine the status of Anopheles donaldi as a vector of malaria in changing land uses.<br>3) To study the seasonality, abundance and behaviour of vector mosquitoes in study areas.<br><br>Methods<br>Study sites:<br>Study areas were located at The SAFE Project field site:<br>1. areas between Maliau Basin Conservation Area (old growth site),<br>2. logged forest sites in the Benta Wawasan area (area undergoing clearing),<br>3. oil palm plantation sites in Benta Wawasan's Silangan Batu Estate (oil palm site)<br><br>Mosquito collection<br>Mosquito samplings (adults and immature stages) were taken at all 3 study areas every alternate month from January 2017 until December 2018. Every sampling month, 2 collectors (n=2) spent 1 night at each study area where all-night human landing collection were carried out at 3 different sampling points for each collector. Collectors performed outdoor landing catches from 18:00 to 06:00. They collected mosquitoes that landed on naked legs with aspirators. Collectors were given prophylaxis prior to the sampling activities. Collected mosquitoes were then placed at hourly intervals inside glass vials. Mosquitoes were morphologically identified using available dichotomous keys the following morning. In every sampling period, meteorological data such as air temperature, relative humidity, atmospheric pressure and wind speed was recorded on hourly basis using a handheld weather station.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/180"><b>The effects of progressive land use changes on the distribution, abundance and behavior of vector mosquitoes in Sabah, Malaysia</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Universiti Malaysia Sabah (Studentship)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (SaBC) (Research licence Local)</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3475408">here</a></p><p><b>Files: </b>This consists of 1 file: Evyen_Mosquito_data.xlsx</p><p><b>Evyen_Mosquito_data.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Mosquito_count</b> (described in worksheet Mosquito_count)</p><p>Description: The taxonomic identification of mosquitos caught</p><p>Number of fields: 6</p><p>Number of data rows: 40</p><p>Fields: </p><ul><li><b>Month</b>: month the mosquitos (Field type: categorical)</li><li><b>Species</b>: species ID of mosquitos caught (Field type: taxa)</li><li><b>MB</b>: Number of species caught in the Maliau Basin (Field type: numeric)</li><li><b>LFE</b>: Number of species caught in the LFE safe plot (Field type: numeric)</li><li><b>B_862</b>: Number of species caught in the B fragment SAFE (Field type: numeric)</li><li><b>Total</b>: Total caught per month (Field type: numeric)</li></ul></li><li><p><b>Mosquito_weather</b> (described in worksheet Mosquito_weather)</p><p>Description: The weather conditions of the mosquito samplings days</p><p>Number of fields: 9</p><p>Number of data rows: 203</p><p>Fields: </p><ul><li><b>Date</b>: Date of sampling (Field type: date)</li><li><b>Time</b>: Time of sampling (Field type: time)</li><li><b>Location</b>: Location of sampling (Field type: location)</li><li><b>Temperature</b>: Air tempreture (Field type: numeric)</li><li><b>Humidity</b>: Air humidity (Field type: numeric)</li><li><b>Wind Speed</b>: Wind (Field type: numeric)</li><li><b>Pressure</b>: Atomspheric pressure (Field type: numeric)</li><li><b>No.mosquito collected</b>: Number of mosquitos caught (Field type: numeric)</li><li><b>Notes</b>: Species (Field type: comments)</li></ul></li></ol><p><b>Date range: </b>2017-07-16 to 2018-08-21</p><p><b>Latitudinal extent: </b>4.4300 to 5.0700</p><p><b>Longitudinal extent: </b>116.5800 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Arthropoda <br> -  -  -  Insecta <br> -  -  -  -  Diptera <br> -  -  -  -  -  Culicidae <br> -  -  -  -  -  -  <i>Heizmannia</i> <br> -  -  -  -  -  -  <i>Anopheles</i> <br> -  -  -  -  -  -  -  <i>Anopheles balabacensis</i> <br> -  -  -  -  -  -  -  <i>Anopheles latens</i> <br> -  -  -  -  -  -  <i>Culex</i> <br> -  -  -  -  -  -  -  <i>Culex sitiens</i> <br> -  -  -  -  -  -  -  <i>Culex vishnui</i> <br> -  -  -  -  -  -  <i>Aedes</i> <br> -  -  -  -  -  -  -  <i>Aedes albopictus</i> <br> -  -  -  -  -  -  -  <i>Aedes ganapathi</i> <br></div><p></p>
Immature mosquito abundances in container habitat, 2013.
These data represent relative weekly abundances of container-breeding mosquitoes at sites located across the BES long-term stream sampling sites and Watershed 263. The numbers in each cell under a species heading represent relative total larval abundance per sample site (counts). Column Headers Week.deploy The week (of the year) that the trap was put out. All traps were then collected one week later. Drycups The number of traps at a site that were completely dry after one week (out of 3 traps total). Site Site code date Date deployed C.erraticus Mosquito species C.pipiens Mosquito species C.restuans Mosquito species C.salinarius Mosquito species C.territans Mosquito species Oc.canadensis Mosquito species Oc.japonicus Mosquito species Oc.triseriatus Mosquito species Ae.aegypti Mosquito species Ae.albopictus Mosquito species Ae.cinereus Mosquito species Ae.vexans Mosquito species An.punctipennis Mosquito species An.quadrimaculatus Mosquito species Ps.ferox Mosquito species Orth.Signifera Mosquito species Tox.septentrionalis Mosquito species pupae Pupae of any species Aedes.unid Unidentified larvae from Aedes genus Culex.unid Unidentified larvae from Culex genus Anoph.unid Unidentified larvae from Anopholes genus The following worksheets include additional information about these data: Species: a list of potential species in our samples - not all are found regularly or in every year. Site Description: GIS information about each site Sample.methods: A description of how the data in meanlarvae.wk2013 were collected and processed. These data are the property of the Baltimore Ecosystem Study. Any sharing of data or results for the public should be cleared first with Dr. LaDeau. > LaDeau mailing and contact info: LADEAUS@Caryinstitute.org > 2801 Sharon Turnpike > Millbrook, NY > 845-677-5343 ext 204
Data from: Wolbachia infection alters the relative abundance of resident bacteria in adult Aedes aegypti mosquitoes, but not larvae
Insect-symbiont interactions are known to play key roles in host functions and fitness. The common insect endosymbiont Wolbachia can reduce the ability of several human pathogens, including arboviruses and the malaria parasite, to replicate in insect hosts. Wolbachia does not naturally infect Aedes aegypti, the primary vector of dengue virus, but transinfected Ae. aegypti have anti-dengue virus properties and are currently being trialled as a dengue biocontrol strategy. Here, we assess the impact of Wolbachia infection of Ae. aegypti on the microbiome of wild mosquito populations (adults and larvae) collected from release sites in Cairns, Australia, by profiling 16S rRNA gene using next generation sequencing. Our data indicate that Wolbachia reduces the relative abundance of a large proportion of bacterial taxa in Ae. aegypti adults, that is in accordance with the known pathogen-blocking effects of Wolbachia on a variety of bacteria and viruses. In adults, several of the most abundant bacterial genera were found to undergo significant shifts in relative abundance. However, the genera showing the greatest changes in relative abundance in Wolbachia-infected adults represented a low proportion of the total microbiome. In addition, there was little effect of Wolbachia infection on the relative abundance of bacterial taxa in larvae, or on species diversity (accounting for species richness and evenness together) detected in adults or larvae. These results offer insight into the effects of Wolbachia on the Ae. aegypti microbiome in a native setting, an important consideration for field releases of Wolbachia into the population.
Assessing the effects of native and alien plant ash on mosquito abundance
<p class="MsoNormal"><span>Plant invasions have been linked to displacement of native vegetation and altering of fire regimes and might influence vector mosquito populations by altering habitats or nutrient inputs. Whereas wildfire effects on terrestrial ecosystems are relatively well-studied,</span> <span>ash depositions into aquatic ecosystems and effects on semi-aquatic taxa such as mosquitoes have remained overlooked</span><span>. Here, we investigated mosquito colonization in water treated with ash from native plants [quinine tree (<em>Rauvolfia caffra</em>), Transvaal milk plum (<em>Englerophytum magalismontanum</em>), apple leaf (<em>Philenoptera violacea</em>)] and invasive alien plants [i.e., lantana (<em>Lantana camara</em>), guava (<em>Psidium guajava</em>), red river gum (<em>Eucalyptus camaldulensis</em>)] in containers at two ash concentrations (i.e., 1 g L<sup>-1</sup>, 2 g L<sup>-1</sup>)<em>.</em> Overall, there was no statistically clear difference in colonization between ash from native and alien species. We recorded colonization by two mosquito genera (<em>Culex </em>spp. and <em>Anopheles</em> spp.), with <em>Culex</em> generally much more abundant than <em>Anopheles</em>.</span><span> Few differences were identified among the plants, with statistically clear effects of ash type and concentration on larval and pupal stages. H</span><span>igh<em> Culex</em> egg and larval abundances were shown in lantana and apple leaf treatments compared to controls, and milkplum versus controls for pupae of both genera. Further research is required to elucidate the influence of nutrient inputs from different ash species on vector mosquito population dynamics.</span></p>
Data from: Wolbachia infection alters the relative abundance of resident bacteria in adult Aedes aegypti mosquitoes, but not larvae
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Assessing the effects of native and alien plant ash on mosquito abundance
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