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341 results for “oviposition”
Survey of Aspen leaf miner (Phyllocnistis populiella) Oviposition Per Leaf Sampled in Interior Alaska Aspen Stands near Fairbanks from 2004 to 2022
The datasets contains annual counts of aspen leaf miner eggs, incipient mines, and egg scars (indicating egg predation) on aspen leaves over time. There are two files representing pilot data from 2004-2005 and data 2006-2022. The 2004-05 dataset does not include egg scars, indicaitive of egg removal, and therefore totals underestimate total oviposition. The 2006-2022 dataset does include egg scars and therefore can be used to estimate total oviposition per leaf.
Figure 1 in Predation and oviposition potential of Brazilian populations of the predatory mite Amblyseius tamatavensis (Acari: Phytoseiidae) on eggs of Bemisia tabaci (Insecta: Hemiptera)
Figure 1 Locations of the collection sites of the populations of Amblyseius tamatavensisin Brazil (May 2015 to May 2016).
Oviposition trials of Euphydryas phaeton on Plantago lanceolata
<p>Understanding the circumstances under which insect herbivores will adopt a novel host plant is a longstanding question in basic and applied ecology. Though there has been ample study of regional differences in host preference across numerous insect herbivores, the extent to which intraspecific variation in plant species shape these patterns is relatively less well known. In parts of its range the Baltimore checkerspot<em> Euphydryas phaeton</em> uses English plantain <em>Plantago lanceolata</em>, a novel host plant, in addition to its native host, White turtlehead <em>Chelone galbra</em>. We offered female butterflies from each region the non-native host lpant sourced from both regions and compared their oviposition behavior. The non-native host was near universally rejected by butterflies in the region where only the native plant is used. In the region where both hosts are used, plants from that same region were preferred relative to plants from the other region. This suggests that regional variation in host plant use by an insect depends on intraspecific variation in both species in the interaction.</p>
Þekil 3. Cicadatra persicaÕda yeni ergin disside bir ovariyolun yapÝsÝ. T.F.: Terminal flament Grm.: Germanyum Fol.: Folikl Pdcl.: Pedicel in An Investigation on the Morphology of Genital Organs and Oviposition Capacit of Cicadatra persica Kirkaldy, 1909 (Cicadidae, Homoptera)
Þekil 3. Cicadatra persicaÕda yeni ergin disside bir ovariyolun yapÝsÝ. T.F.: Terminal flament Grm.: Germanyum Fol.: Folikl Pdcl.: Pedicel
Þekil 2. Cicadatra persicaÕda dissi reme organÝ Ov.: Ovaryum L.Od.: Lateral oviduct Odc.: Oviduct Yd.b.: YardÝmcÝ bez Spt.: Spermatheca Vg.: Vagina in An Investigation on the Morphology of Genital Organs and Oviposition Capacit of Cicadatra persica Kirkaldy, 1909 (Cicadidae, Homoptera)
Þekil 2. Cicadatra persicaÕda dissi Ÿreme organÝ Ov.: Ovaryum L.Od.: Lateral oviduct Odc.: Oviduct Yd.b.: YardÝmcÝ bez Spt.: Spermatheca Vg.: Vagina
Þekil1. Cicadatra persicaÕda erkek reme organÝ Ts.: Testis Vd.: Vas deferens Yd.b.: YardÝmcÝ bez Ejb.: Bulbus ejaculatorius Ejb: Ductus ejaculatorius in An Investigation on the Morphology of Genital Organs and Oviposition Capacit of Cicadatra persica Kirkaldy, 1909 (Cicadidae, Homoptera)
Þekil1. Cicadatra persicaÕda erkek Ÿreme organÝ Ts.: Testis Vd.: Vas deferens Yd.b.: YardÝmcÝ bez Ejb.: Bulbus ejaculatorius Ejb: Ductus ejaculatorius
Figure 4 in Oviposition of Quesada gigas (Hemiptera: Cicadidae) in coffee plants
Figure 4. Percentage of branches with Quesada gigas egg nest in the two areas of the experiment, in different thirds of the coffee plant height and in the collection periods of the branches. São Sebastião do Paraíso, Minas Gerais, Brazil. 2008.
Figure 3 in Oviposition of Quesada gigas (Hemiptera: Cicadidae) in coffee plants
Figure 3. Quesada gigas eggs collected from dry coffee-plant branches. Scale: 1 mm. São Sebastião do Paraíso, Minas Gerais, Brazil. 2008.
Figure 2 in Oviposition of Quesada gigas (Hemiptera: Cicadidae) in coffee plants
Figure 2. Oviposition by Quesada gigas on a dry coffee-plant branch. A. Female depositing eggs inside the branch. B. Insertion point of ovipositor that was sealed after egg-laying. C. Mass of eggs shown from upper view. D. Mass of eggs shown in lateral view. São Sebastião do Paraíso, Minas Gerais, Brazil. 2008.
Figure 1 in Oviposition of Quesada gigas (Hemiptera: Cicadidae) in coffee plants
Figure 1. Distribution of the sampling points by block in each analysed area. São Sebastião do Paraíso, Minas Gerais, Brazil. 2008.
F I G U R E 3 in Oviposition by the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae), on five citrus types in a laboratory
F I G U R E 3 Mean (±1 SE) proportion of time female Bactrocera dorsalis spent on aggression, grooming, oviposition, probing, being inactive, and walking and tasting on (a) damaged and (b) undamaged citrus types and a positive control (Golden Delicious apple). Citrus types investigated were Golden Delicious apple, Delta Valencia orange, Eureka lemon, Glen Ora navel orange, Nadorcott mandarin and Star Ruby grapefruit. Each female was observed for 20 min.
F I G U R E 2 in Oviposition by the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae), on five citrus types in a laboratory
F I G U R E 2 First-order Markovian analyses showing the probability of transition from one behaviour to another by gravid female Bactrocera dorsalis on (a) damaged and (b) undamaged citrus (all types pooled). Transitions with p ≥ 0.10 are indicated by solid lines, and those with 0.09 ≥ p ≥ 0.03 are indicated by dashed lines. Values in parentheses indicate frequencies of each behaviour observed.
F I G U R E 1 in Oviposition by the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae), on five citrus types in a laboratory
F I G U R E 1 Non-metric multidimensional scaling (NMDS) ordination plot showing the relative similarity of essential oil composition of different citrus types and degrees of ripeness. Ellipses represent 95% confidence intervals. The treatments tested were degrees of ripeness denoted as Green, Colour Break, Ripe or Over Ripe and were tested on variants Eureka lemon, Nadorcott mandarin, Glen Ora Late navel orange, Delta Valencia orange and Star Ruby grapefruit.
Figs 3–6. 3 in Observations On The Ovipositing Strategy Of Gortyna Borelii Pierret, 1837 (Lepidoptera, Noctuidae) In A British Population
Figs 3–6. 3 = Gortyna borelii ova beneath the outer leaf sheath of a grass stem (Photo credit: MICKY ANDREWS). 4–6 = Scanning electron microscopy of G. borelii ovum (Photo credit: ZOE RING- WOOD): 4 = 700 µm diameter, 350 µm height; 5 = ribbed surface structure on the side of the ovum (ribs 10 µm in width, aeropyles 2–3 µm in diameter); 6 = micropylar area of the ovum (micropyle 6
Pre- and post-oviposition behavioural strategies to protect eggs against extreme winter cold in an insect with maternal care
<p>Data set and R script supporting the publication entitled "<strong>Pre- and post-oviposition behavioural strategies to protect eggs against extreme winter cold in an insect with maternal care" </strong>by Jean-Claude Tourneur, Claire Cole, Jess Vickruck, Simon Dupont and Joël Meunier.</p> <ul> <li>Script Earwig oviposition - Zenodo v2.R = R script allowing to conduct the stats and obtain the figures presented in the manuscript</li> <li>Part I - Zenodo.txt = Data set of the first part of the experiment about the location of females and eggs until oviposition (included)</li> <li>Part II - Zenodo v2.txt = Data set of the second part of the experiment about the location of eggs after oviposition</li> <li>Readme.txt = details of the variables present in the 2 data sets</li> </ul>
Data and Reproducible Analysis For: "Fine-Scale Associations Between Land Cover Composition and the Oviposition Activity of Native and Invasive Aedes Vectors of La Crosse Virus"
<h1><strong>Data and Reproducible Analysis For: "Fine-Scale Associations Between Land Cover Composition and the Oviposition Activity of Native and Invasive Aedes Vectors of La Crosse Virus"</strong></h1> <p>This repository contains pre-processed data sets and code scripts to reproduce the data processing and analyses that are presented in the corresponding manuscript. Some minor pre-processing was completed before presenting this -- namely, the land cover raster was clipped to the study area of Knox County, Tennessee, USA, prior to placing in the repository to reduce the file size. </p> <h2><strong>How to use this repository to reproduce results </strong></h2> <p>This repository is designed to support the reproduction of analyses in the associated manuscript. The entire project can be downloaded and stored anywhere on your computer, as long as the file structure is not altered. The project contains folders with all data sets and code scripts necessary for analysis.</p> <p><strong>What you will need: </strong><br> - Installed R and RStudio for purely spatial cluster and global model analyses<br> - Basic understanding of how to open R and run code </p> <p><strong> You do NOT need:</strong><br> - To download or install R packages on your own; that is taken care of within this environment<br> - To write any code <br> - To set up any working directories in R </p> <h3><strong>Important: Using `renv`</strong></h3> <p>Short Version: When you open the R project, run `renv::restore()` and follow the prompts to install the necessary R packages. </p> <p>The R package `renv` was used to create a <strong>project library</strong>, which contains all R packages that are used by the project. The packages in the project library are <strong>the versions used during the original analysis</strong>. This means that if any packages are updated by developers in ways that would change the results of the analysis, this project can still produce the original results because of `renv`. When you open this project for the first time, `renv` will automatically download and install itself and ask you to run `renv::restore()`. <strong>You should run `renv::restore()` to automatically download and install all of the packages within this reproducible environment</strong>. </p> <h2><strong>## Basic step-by-step guide:</strong></h2> <p>- 1. Download the entire repository by clicking "Code -> Download ZIP" on GitHub or by downloading the ZIP file in Zenodo<br>- 2. Extract the ZIP file anywhere on your computer (do not change the structure of the files once extracted)<br>- 3. In RStudio, click *File -> Open Project* and browse to the location where you extracted the repository; in the repository file, open the knoxaedeslandcover R Project file <br>- 4. Open any of the R scripts in the `analysis/` folder<br>- 5. Run the code `renv::restore()` in the script or in the console and follow the prompt to install the packages <br> - Now you can run the R Scripts; start from the top with loading the packages and data, then work your way down line-by-line</p> <h3><strong># `analysis/` Folder</strong></h3> <p>The `analysis/` folder contains scripts for processing data and conducting analyses. Each file is an R script that should be opened in R studio. The first shows how to process and aggregate the various raw data files; if you are only interested in reproducing analyses from the manuscript, you can skip to the second file and work from there. </p> <p><strong><em>## Files within the `analysis/` folder</em></strong></p> <p>The files are numbered in the order that they were run for the original analysis. In this case, none of the analyses are dependent on the others, so they can technically be used in any order. The numbers associated with each file describe the order that the analyses would normally be run. </p> <p> - `(1)dataprep.R` contains the code for cleaning and combining the land cover, climate, and mosquito data -- this includes calculating the land cover percentages at different scales and calculating weekly and timelagged climate values<br> - `(2)summary_analysis.R` contains code for reproducing summary data and creating graphs from the manuscript<br> - `(3)variable_selection.R` contains code for asssessing collinearity and fitting models to identify the best fitting variables for each speceis<br> - `(4)finalmodels.R` contains code for fitting the final models using the selected variables for each species </p> <h3><strong># `data/` Folder</strong></h3> <p>This folder contains several datasets, including one that compiles them all for analyses (`knox_joined`). The raw data are included to show how the data was processed and aggregated, but the individual raw data files are not needed for analyses. See `data dictionary.txt` for a description of all attributes contained within each file. </p> <p><strong><em>## Files within the `data/` folder</em></strong></p> <p> - `knox22_joined.RDS` contains a cleaned and joined version of land cover, climate, and mosquito data in R Data Serialization format, which maintains predefined factor and numeric designations for columns. <br> - `knox22_joined.csv` contains a cleaned and joined version of land cover, climate, and mosquito data in CSV format -- identical to 'knox22_joined.RDS'<br> - `sites22.csv` contains the names, site codes, and coordinates of the study sites<br> - `aedes22_clean.csv` contains the raw mosquito collection data for the study without any climate or land cover information <br> - `NLCD_2019_landcover_clippedtoKnox.tif` contains the NLCD land cover data, already clipped to Knox County, TN, USA<br> - `knox22_temperature.csv` contains raw daily temperatures for the city of Knoxville in 2022<br> - `knox22_rainfall.csv` contains raw daily precipitation for the city of Knoxville watersheds in 2022<br> - `rainfall_stations.csv` contains the descriptions, approximate street addresses, and geographic coordinates for rainfall monitoring sites <br> - `data dictionary.txt` file that defines column names and other data attributes for every dataset </p> <h3><strong># `renv/` Folder</strong></h3> <p>The `renv/` folder contains bits and pieces needed for the `renv` package. Nothing should be altered in this folder. </p> <p> </p> <h2><strong>References for source data </strong></h2> <p> - Some of the data in this repository were originally obtained from open access sources. </p> <p> - Land cover data was obtained from the National Land Cover Database (NLCD) 2019 data product, specifically the "NLCD 2019 Land Cover (CONUS)" product. The original, unclipped raster can be freely downloaded here: https://www.mrlc.gov/data/nlcd-2019-land-cover-conus</p> <p> - Temperature data was downloaded from the United States National Oceanic and Atmospheric Administration (NOAA) weather station for Knoxville, Tennessee. The source data can be downloaded from this site: https://www.weather.gov/mrx/tysclimate</p> <p> - Rainfall data was obtained from the City of Knoxville rainfall data website, located here: https://www.knoxvilletn.gov/government/city_departments_offices/engineering/stormwater_engineering_division/rainfall_data</p> <p> - All mosquito collection data was collected directly by the manuscript authors</p>
Fig. 1 a in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany
Fig. 1 a Study sites in the south of North Rhine-Westphalia, Germany in 2018. Forest types (different shades of green) follow Authorised Topographic-Cartographic Information System data [39]. b Details of study site Bonn SÜd, with three transects and their respective trap locations (different colours represent different land use types). See Additional file 2: dataset S1 for coordinates of trap locations. Background map from http:// www.openstreetmap.org (OpenStreetMap contributors). The map was produced with QGIS version 3.2
Fig. 2 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany
Fig. 2 Setup of the transects. Trap locations range from oviposition habitat 1 (land use types—arable land, forest or settlement) through the transition zone into oviposition habitat 2 (land use types—forest, settlement or arable land). F100 Forest, 100 m from the transition zone; F10 forest, 10 m from the transition zone; F/S transition zone; S10 settlement, 10 m from the transition zone; S100 settlement, 100 m from the transition zone
Figure 1 in Effect of the Guppy, Poecilia reticulata, on Oviposition of Culex quinquefasciatus (Diptera: Culicidae)
Figure 1. (A) Average numbers (±SE) of egg rafts laid by Culex quinquefasciatus in treatment (with one mosquito fish) and control (without mosquito fish), and (B) average per night (±SE) of gravid Culex quinquefasciatus females collected in gravid traps (treatment: 10 mosquito fish; control: without mosquito fish). Both vertical bars represent standard error.
Figure 1 in Thanatosis behavior during oviposition in Tropidurus itambere Rodrigues, 1987
Figure 1. Specimen of Tropidurus itambere (A) and (B) performing of Thanatosis during oviposition. Collected at Parque Municipal do Bacaba, Nova Xavantina, Mato Grosso state, Brazil.
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International Brain Laboratory public data
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OpenNeuro
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