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Fig. 2 in Potential pest bark and ambrosia beetles from Cuba not present in the continental United States
Fig. 2. Dorsal and lateral view of female Euwallacea posticus. Scale bar: 1 mm.
Lambda-cyhalothrin-driven mortality of pest control agents - IRAC insecticide-coated glass vials test
<p>The dataset contains 24 h mortality data from the IRAC-recognised insecticide-coated glass vials test on lambda-cyhalothrin toxicity to pest control agents tested in 5 European countries. Individuals of each tested species were exposed to five insecticide doses, relative to the Recommended Field Dose (RFD), namely 0.8% RFD, 4% RFD, 20% RFD, 100% RFD, and 200% RFD, plus acetone control. RFD was assumed at 7.5 g a.i./ha as this value is most relevant to the crops covered by the study. <strong>The dataset was used to generate Species Sensitivity Distributions published in the article "Species Sensitivity Distribution (SSD) profiles towards λ-cyhalothrin for key ecosystem service provider (ESP) species across five European countries representing different pedoclimatic zones", STOTEN 2024, which should be quoted if the data are used for any purpose: https://doi.org/10.1016/j.scitotenv.2024.176412. </strong></p> <p>The research was funded by the European Union Horizon 2020 Research and Innovation Program “EcoStack” (grant agreement no. 773554). </p> <p> </p>
Dataset and R script - Non-linear transcriptomic responses to compounded environmental changes across temperature and resources in a pest beetle, Callosobruchus maculatus
<p>This dataset contains data and R script for analysis on life history and transcriptomic responses to single dimensional changes in resource (chickpea-27<span>°</span>C) and temperature (cowpea-35<span>°</span>C) and multi-dimensional environmental changes in resource and temperature (chickpea-35<span>°</span>C) in a pest beetle, <em>Callosobruchus maculatus</em> (control treatment = cowpea-27<span>°</span>C). Dataset contains life history data collected in laboratory conditions<em> </em>(tab 1), logFC data (RNA-sequencing; Novogene Co. Ltd.) for Spearman rank correlation tests between treatments (tabs 2-4), read count data (RNA-sequencing; Novogene Co. Ltd.) for differential expression analysis using edgeR (R1-5 = Four samples at cowpea-27<span>°</span>C; R7-12 = Four samples at cowpea-35<span>°</span>C; R13-17 = Four samples at chickpea-27<span>°</span>C; R25-28 = Four samples at chickpea-35<span>°</span>C; tab 5) and edgeR output data for plotting in R (tab 6). </p>
Landscape drivers of pests and pathogens abundance in arable crops
<p>Farmers' use of fungicides and insecticides constitutes a major threat to biodiversity that is also endangering agriculture itself. Landscapes could be designed to take advantage of the dependencies of pests, pathogens, and their natural enemies on elements of the landscape. Yet the complexity of the interactions makes it difficult to establish general rules. In our study, we sought to characterize the impact of the landscape on pest and pathogen prevalence, taking into account both crop and semi-natural areas. We drew on a nine-year national survey of 30 major pests and pathogens of arable crops, distributed throughout the latitudes of metropolitan France. We performed binomial LASSO generalized linear regressions on the pest and pathogen prevalence as a function of the landscape composition in a total of 39,880 field × year × pest observation series. We observed a strong disequilibrium between the number of pests or pathogens favored (15) and disadvantaged (2) by the area of their host crop in the landscape during the previous growing season. The impact of the host crop area during the ongoing growing season was different on pests than on fungal pathogens: the density of most pathogens increased (11 of 17, and no decreases) while the density of a small majority of pests decreased (7 of 13, and 4 increases). We also found that woodlands, scrublands, hedgerows, and grasslands did not have a consistent effect on the studied spectrum of pests and pathogens. Although overall the estimated effect of the landscape is small compared to the effect of the climate, a territorial coordination that generally favors crop diversity but excludes a crop at risk in a given year might prove useful in reducing pesticide use.</p>
Figure 2 in Notes on distribution and hosts of Hylesinus mexicanus (Wood) (Coleoptera: Curculionidae: Scolytinae), a pest on Olea europaea Linnaeus
Figure 2. Hylesinus mexicanus (Wood), a) dorsal view, b) lateral view, c) ventral view.
Figure 2 in Evaluation of prey stage preference of the predatory miteNeoseiulus longispinosus (Evans) on the spider mite pest Tetranychus neocaledonicus (André) (Acari: Phytoseiidae, Tetranychidae)
Figure 2 Mean consumption rate (%) of nymphs of Neoseiulus longispinosus on different life stages
Figure 1 in Evaluation of prey stage preference of the predatory miteNeoseiulus longispinosus (Evans) on the spider mite pest Tetranychus neocaledonicus (André) (Acari: Phytoseiidae, Tetranychidae)
Figure 1 Mean consumption rate (%) of adults of Neoseiulus longispinosus on different life stages
Fig. 1 in Sunn pest (Eurygaster integriceps Puton, Hemiptera: Scutelleridae) and its scelionid (Hymenoptera: Scelionidae) and tachinid (Diptera: Tachinidae) parasitoids in Iran.
Fig. 1. Map of Iran with boundaries of provinces.
FIGURE 3 in Typhlodromalus Aripo De Leon (Acari: Phytoseiidae) Development And Reproduction On Major Cassava Pests At Different Temperatures And Humidities: An Indication Of Enhanced Mite Resilience
FIGURE 3: Mean daily fecundity of Typhlodromalu aripo female on cassava green mite Mononychellus progresivus in absence and presence of B. tabaci crawlers.
FIGURE 2 in Typhlodromalus Aripo De Leon (Acari: Phytoseiidae) Development And Reproduction On Major Cassava Pests At Different Temperatures And Humidities: An Indication Of Enhanced Mite Resilience
FIGURE 2: Mean daily consumption rate by Typhlodromalus aripo female of cassava green mite in absence and presence of Bemisia tabaci crawlers.
FIGURE 1 in Typhlodromalus Aripo De Leon (Acari: Phytoseiidae) Development And Reproduction On Major Cassava Pests At Different Temperatures And Humidities: An Indication Of Enhanced Mite Resilience
FIGURE 1: Leaf disk unit showing dimensions (0.4 cm-depth × 1.5 cm-diameter) of feed area of Typhlodromalus aripo life stage cohorts on cassava green mite (eggs and active), Bemisia tabaci and Phenacoccus manihoti.
Data from: Mechanisms of dispersal and colonisation in a wind-borne cereal pest, the haplodiploid wheat curl mite
<p><strong>Filename: </strong>1_Allele_freq</p> <p>Variables:</p> <p>1. marker_id - Name of the microsatellite marker analysed<br> 2. regime - Experimental regime (low heterozygosity - LH; medium heterozygosity - MH; high heterozygosity - HH)<br> 3. allele frequency - The frequency of alleles occurrence in the tested populations</p> <p><strong>Filename: </strong>2_Pattern_of_plants_infestation</p> <p>Variables:</p> <p>1. regime - Experimental regime (low heterozygosity - LH; medium heterozygosity - MH; high heterozygosity - HH)<br> 2. rep.id - Repetition ID<br> 3. mites.no - Number of mites found on one plant<br> 4. plant.no - Number of plant examinated<br> </p> <p><strong>Filename: </strong>3_Dispersal_colonisation_data</p> <p>Variables:</p> <p>1. regime - Experimental regime (low heterozygosity - LH; medium heterozygosity - MH; high heterozygosity - HH)<br> 2. rep.no - Number of repetition within regime<br> 3. rep.id - Repetition ID<br> 4. mite.id - Individual mite ID<br> 5. plant.no - Number of plant examinated<br> 6. dds - Developmental stage of dispersing individual<br> 7. egg.no - Number of eggs laid<br> 8. F1_f.sex - Number of individuals developing into females<br> 9. F1_m.sex - Number of individuals developing into males</p> <p> </p> <p><strong>Filename: </strong>4_Sex_ratio</p> <p>Variables:</p> <p>1. regime - Experimental regime (low heterozygosity - LH; medium heterozygosity - MH; high heterozygosity - HH)<br> 2. source - The source of the tested population (predisperal or postdispersal)<br> 3. rep.id - Repetition ID<br> 4. females.no - Number of females found in a population<br> 5. males.no - Number of males found in a population</p>
More intraguild prey than pest species in arachnid diets may compromise biological control in apple orchards
<p>Understanding the full diet of natural enemies is necessary for evaluating their role as biocontrol agents, because many enemy species do not only feed on pests but also on other natural enemies. Such intraguild predation can compromise pest control if the consumed enemies are actually better for pest control than their predators. In this study, we used gut metabarcoding to quantify diets of all common arachnid species in Swedish and Spanish apple orchards. For this purpose, we designed new primers that reduce amplification of arachnid predators while retaining high amplification of all prey group. Results suggest that most arachnids consume a large range of putative pest species on apple but also a high proportion of other natural enemies, where the latter constitute almost a third of all prey sequences. Intraguild predation also varied between regions, with a larger content of heteropteran bugs in arachnid guts from Spanish orchards. There was also a tendency for cursorial spiders to have more intraguild prey in the gut than web spiders. Two groups that may be overlooked as important biocontrol agents in apple orchards seem to be theridiid web spiders and opilionids, where the latter had several small-bodied pest species in the gut. These results thus provide important guidance for what arachnid groups that should be targets of management actions, even though additional information is needed to quantify all direct and indirect interactions occurring in the complex arthropod food webs in fruit orchards.</p>
Data from: Ecological requirements drive the variable responses of wheat pests and natural enemies to the landscape context
<p>1. Semi-natural habitats (SNH) are considered essential for pest suppressive landscapes, but their influence on crop pests and natural enemies can be highly variable. Instead of SNH per se, the availability of resources, such as pollen and nectar, may be more relevant for supporting pest control.</p> <p>2. Here, we assessed the spatio-temporal variation of multiple insect pests (cereal leaf beetles and aphids) and natural enemies (predators and aphid parasitoids) in wheat fields and their responses to landscape context and flower availability. We combined detailed information on pollen use by natural enemies with the specific distribution of pollen-providing plants across a gradient of landscape composition and configuration.</p> <p>3. The abundance of wheat pests was tightly linked to wheat development stage. Syrphids colonised the fields early in the season, while the abundance of other enemies increased later in the season. The responses of pests to landscape structure were variable and, while some pests had low abundances in landscapes with high edge density and SNH cover, <em>Sitobion avenae</em> abundance was positively associated with SNH cover. Lacewings, syrphids and cereal leaf beetles were abundant in landscapes with diverse and abundant flower resources, whereas the abundance of parasitoids and Nabis sp. was driven by aphid abundance. We detected no significant indirect effects of landscape on pests via natural enemies.</p> <p>4. Synthesis and applications. Our findings highlight the need for conservation biological control to go beyond "one size fits all" and consider the specific ecology of the involved organisms. Landscapes with high edge density and flowering woody plants may support natural enemies, in particular syrphids, which colonised the fields early in the season. Incentives for pest-suppressive landscapes should focus on tailored strategies that disfavour pests and simultaneously enhance natural enemies according to their ecological requirements.</p>
Data for: Population genomic insights into invasion success in the polyphagous agricultural pest, Halyomorpha halys
<p>Invasive species are increasingly threatening ecosystems and agriculture by rapidly expanding their range and adapting to environmental and human-imposed selective pressures. The genomic mechanisms that underlie such rapid changes remain unclear, especially for agriculturally important pests. Here<span>,</span> we use genome-wide polymorphisms derived from native, invasive<span>,</span> and intercepted <span>samples and </span>populations of the brown marmorated stink bug (BMSB), <em>Halyomorpha</em> <em>halys</em>, to gain insights into population genomics processes that <span>have promoted</span> the successful global invasion of this polyphagous pest. Our analysis demonstrated that BMSB <span>exhibits spatial</span> structure but admixture rates are high among introduced populations, resulting in similar levels of genomic diversity across native and introduced populations. These spatial genomic patterns suggest a complex invasion scenario<span>, potentially</span> with multiple bridgehead events<span>, posing </span>a challenge for accurately assigning BMSB incursions to their source using reduced-representation genomic data. By associating allele frequencies with the invasion status of BMSB populations, we found significantly differentiated SNPs located in <span>close </span>proximity <span>to</span> genes for insecticide resistance and olfaction. <span>Comparing</span> variations in allele frequencies among populations for outlier SNPs suggests that BMSB invasion success has likely evolved from standing genetic variation. In addition to being a major nuisance of households, BMSB has caused significant economic losses to agriculture in recent years and continues to expand its range. Despite no record of BMSB insecticide resistance to date, our results show <span>high capacity for potential </span>evolution <span>of such characters</span>, highlighting the need for future sustainable and targeted management strategies.</p>
Fig. 4 in The detection of an alien pest, the cotton leaf roller Haritalodes decorata (Lepidoptera: Crambidae), on the Black Sea Coast of Russia
Fig. 4. The localities on the territory of the Russian Black Sea Cost where Haritalodes
Fig. 2 in The detection of an alien pest, the cotton leaf roller Haritalodes decorata (Lepidoptera: Crambidae), on the Black Sea Coast of Russia
Fig. 2. Maximum likelihood COI tree illustrating intraspecific divergence of Haritalodes
Fig. 3 in The detection of an alien pest, the cotton leaf roller Haritalodes decorata (Lepidoptera: Crambidae), on the Black Sea Coast of Russia
Fig. 3. Biology of Haritalodes derogata in Sochi, Yana Fabritsiusa str., 22–27.VIII
Pest population dynamics are related to a continental overwintering gradient
<p>Overwintering success is an important determinant of arthropod populations that must be considered as climate change continues to influence the spatiotemporal population dynamics of agricultural pests. Using a long-term monitoring database and biologically relevant overwintering zones, we modeled the annual and seasonal population dynamics of a common pest, <em>Helicoverpa</em> <em>zea</em> (Boddie), based on three overwintering suitability zones throughout North America using four decades of soil temperatures: the southern range (able to persist through winter), transitional zone (uncertain overwintering survivorship), and northern limits (unable to survive winter). Our model indicates <em>H</em>. <em>zea</em> population dynamics are hierarchically structured with continental-level effects that are partitioned into three geographic zones. Seasonal populations were initially detected in the southern range, where they experienced multiple large population peaks. All three zones experienced a final peak between late July (southern range) and mid-August to mid-September (transitional zone and northern limits). The southern range expanded by 3% since 1981 and is projected to increase by twofold by 2099 but the areas of other zones are expected to decrease in the future. These changes suggest larger populations may persist at higher latitudes in the future due to reduced low-temperature lethal events during winter. Because <em>H</em>. <em>zea</em> is a highly migratory pest, predicting when populations accumulate in one region can inform synchronous or lagged population development in other regions. We show the value of combining long-term datasets, remotely sensed data, and laboratory findings to inform forecasting of insect pests.</p>
Multiscale assessment of oviposition habitat associations and implications for management in the spotted lanternfly (Lycorma delicatula), an emerging invasive pest
<p>1. Control of incipient invaders—established invasive species in the early stages of spreading—can be inhibited by incomplete knowledge of the species' habitat use. By identifying consistent habitat associations for incipient invaders early, control efforts can be more effective. Yet, because habitat associations are the result of multiscale processes, approaches are needed for integrating data collected across scales to identify them.</p> <p>2. We employed a hierarchical, multiscale approach to identify oviposition habitat associations in the spotted lanternfly (<em>Lycorma</em> <em>delicatula</em>), an incipient invasive species of high concern in the United States. We targeted four oviposition habitat spatial scales most likely to be used by lanternflies and the spatial scales of explanatory habitat variables most easily used by managers to locate egg masses to control.</p> <p>3. Spotted lanternflies exhibited oviposition habitat associations at the landscape, site, and tree scales. Overall, lanternflies oviposited more frequently at sites and on trees with low canopy cover in the surrounding landscape indicating higher use of human-impacted habitat. Additionally, they oviposited more frequently on trees from the <em>Acer</em> genus and in the crowns of larger trees beyond the reach of managers without special equipment. The duration a site had been invaded had opposing effects on oviposition at the site and tree scales.</p> <p>4. Despite high variation in the number of eggs per egg mass, no habitat variables explained this variation, suggesting more work is needed to understand spotted lanternfly reproductive output.</p> <p>5. Synthesis and applications. Our results indicate a multiscale approach is needed for spotted lanternfly control with unique strategies for locating egg masses at sites and on trees that vary in invasion duration. Specifically, at younger sites at the invasion edge, managers should expect patchy colonization of sites, yet when a site is colonized, many trees will have egg masses. Comparatively, older sites at the invasion core are more likely to have egg masses present, yet often at a lower density, which may make them difficult to find on individual trees. Based on our results, we assert that multiscale investigations of habitat associations would likely inform the control of other incipient invasive species as well. </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.