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389 results for “Bark beetle”
Fig. 4 in New cylindrical bark and ironclad beetles (Coleoptera: Zopheridae) from Baltic amber
Fig. 4. Bitoma glaesisepulta sp. nov. Dorsal habitus, reconstruction
Fig. 2 in New cylindrical bark and ironclad beetles (Coleoptera: Zopheridae) from Baltic amber
Fig. 2. Pycnomerus simukovi sp. nov. Dorsal habitus, reconstruction
Fig. 1 in New cylindrical bark and ironclad beetles (Coleoptera: Zopheridae) from Baltic amber
Fig. 1. Pycnomerus simukovi sp. nov. Habitus.: a) Dorsal view; b) Ventral view; c) Lateral view.
Characterization and microsatellite marker development for Geosmithia obscura, a common bark and ambrosia beetle associate
<p class="MsoNormal"><strong><span>Background. </span></strong><span>S</span><span>ymbioses between <em>Geosmithia</em> fungi and </span><span>wood-boring and bark beetles</span><span> seldom result in disease induction within the plant host. Yet exceptions exist such as <em>Geosmithia</em> <em>morbida</em>, the causal agent of Thousand Cankers Disease (TCD) of walnuts and wingnuts and <em>Geosmithia</em> sp. 41, the causal agent of Foamy Bark Canker disease of oaks. Isolates of<em> G. obscura </em>were recovered from black walnut trees in eastern Tennessee and<em> </em>at least one isolate induced cankers following artificial inoculation. Due to the putative pathogenicity and lack of recovery of <em>G. obscura </em>from natural lesions, a molecular diagnostic screening tool was developed using microsatellite markers mined from the <em>G. obscura </em>genome.</span></p> <p class="MsoNormal"><strong><span>Results. </span></strong><span>A total of 3,256 candidate microsatellite markers were identified (2236, 789, 137 di-, tri-, and tetra- motifs were identified, respectively), with 2011, 703, 101 di-, tri-, and tetra- motifs containing markers with primers. From these, 75 microsatellite markers were randomly selected, screened, and optimized, resulting in 28 polymorphic markers that yielded single, consistently recovered bands which were used in downstream analyses. Five of these microsatellite markers were found to be specific to <em>G. obscura </em>and did not cross-amplify into other, closely related species. Although the remaining tested markers could be useful, they cross-amplified within different <em>Geosmithia</em> species, making them not reliable for <em>G. obscura </em>detection.</span></p> <p class="MsoNormal"><strong><span>Conclusion.</span></strong><span> Five novel microsatellite markers (GOBS9, GOBS10, GOBS41, GOBS43, GOBS50) were developed based on <em>G. obscura</em> genome. These species-specific microsatellite markers are available as a tool for use in molecular diagnostics and can assist future surveillance studies.</span></p>
Weak population genetic structure in Eurasian spruce bark beetle over large regional scales in Sweden
<p class="MsoNormal"><span>The Eurasian spruce bark beetle, <em>Ips typographus</em>, is a major pest, capable of killing spruce forests during large population outbreaks. Recorded dispersal distances of individual beetles are typically within hundreds of meters or a few </span>kilometres<span>. However, the connectivity between populations at larger distances and longer time spans and how this is affected by the habitat is less studied, despite its importance for understanding at which distances local outbreaks may spread. Previous population genetic studies in <em>I. typographus </em>typically used low resolution markers. Here, we use genome-wide data to assess population structure and connectivity of<em> I. typographus </em>in Sweden. We used 152 individuals from 19 population samples, distributed over 830 km from Strömsund (63º 46' 8'' N) in the north to Nyteboda (56º 8'</span> <span>50'' N) in the south, to capture processes at a large regional scale, and a transect sampling design adjacent to a recent outbreak to capture processes at a smaller scale (76 km). Using restriction site-associated DNA sequencing (RADseq) markers capturing 1409-1997 SNPs throughout the genome, we document a weak genetic structure over the large scale, potentially indicative of high connectivity with extensive gene flow. No differentiation was detected at the smaller scale. We find indications of isolation-by-distance both for relative (F<sub>ST</sub>) and absolute divergence (Dxy). The two northernmost populations are most differentiated from the remaining populations, and diverge in parallel to the southern populations for a set of outlier loci. In conclusion, the population structure of <em>I. typographus </em>in Sweden is weak, suggesting a high capacity to disperse and establish outbreak populations in new territories.</span></p>
Fig. 9 in Microsculpture and chaetotaxy of abdominal tergites of bark and ambrosia beetles (Coleoptera: Curculionidae, Scolytinae): morphology and nomenclature
Fig. 9. Elements of chaetom and microsculpture of abdominal tergites of Scolytinae. a –
Fig. 8 in Microsculpture and chaetotaxy of abdominal tergites of bark and ambrosia beetles (Coleoptera: Curculionidae, Scolytinae): morphology and nomenclature
Fig. 8. Elements of chaetom and microsculpture of abdominal tergites of Scolytinae. a –
Fig. 11 in Microsculpture and chaetotaxy of abdominal tergites of bark and ambrosia beetles (Coleoptera: Curculionidae, Scolytinae): morphology and nomenclature
Fig. 11. Microscuptural fields and chaetom of Scolytinae (glass slides). a – Camptocerus
Figs 1–7 in Microsculpture and chaetotaxy of abdominal tergites of bark and ambrosia beetles (Coleoptera: Curculionidae, Scolytinae): morphology and nomenclature
Figs 1–7. Microscuptural fields and chaetom elements of Scolytinae. 1, 6 – Hylurgus
Fig. 10 in Microsculpture and chaetotaxy of abdominal tergites of bark and ambrosia beetles (Coleoptera: Curculionidae, Scolytinae): morphology and nomenclature
Fig. 10. Different setae of tergite 7 of Scolytinae. n – feathery furcate; d – feathery; a –
Host preference of a tree-killing bark beetle across a geographic boundary separating host species
<p><span>The life cycles of bark beetles are intimately linked to their host species. Therefore, bark beetle species are expected to show traits that vary among different host species and across geographic ranges. The taxonomic proximity of host tree species can also influence host selection. <em>Abies</em> species native to Japan are genetically classified into three phylogenetic groups. Their natural distributions are separated by a </span><span>distinct biogeographic boundary in Japan (i.e. the Tsugaru Strait, also referred to as Blakiston's Line)</span><span>. Especially, <em>A. sachalinensis</em> is the only species native to Hokkaido, north of the </span><span>Tsugaru Strait</span><span>. I, therefore, investigated the host preference of <em>Polygraphus proximus</em> Blandford within four allopatrically distributed <em>Abies</em> species across the north and south of the Tsugaru Strait</span> <span>through field surveys and field choice experiments</span><span>.</span> <span>Field observations and field host-choice bioassays showed that <em>A. sachalinensis</em> was less severely attacked by <em>P. proximus</em> than was <em>A. veitchii</em> on both sides of the Tsugaru Strait.</span><span> The beetles also </span><span>preferred to attack <em>A. firma</em> (which </span><span>belongs to a genetically distinct group (i.e., the section <em>Momi</em>) from that of <em>A. veitchii</em> and <em>A. sachalinensis</em> (i.e., the section <em>Balsamea</em>)), over </span><em><span>A</span></em><span><em>. sachalinensis</em> in both Hokkaido and Honshu</span><span>. Although </span><em><span><span>A</span><span>.</span></span><span>homolepis</span></em><span> also belongs to the section <em>Momi</em>,</span> <em><span>A</span></em><span><em>. firma</em> and </span><em><span>A</span></em><span><em>. veitchii</em> had more attacks t</span><span>han </span><em><span><span><span>A</span><span>. </span></span><span>homolepis</span></span></em>. <span>Th</span><span>e res</span><span>ults provide evidence that </span><em><span>P</span><span>. proximus</span></em><span> does not show specialization across the different parts of their geographic range where the host species are different, and there is no positive correlation between taxonomic proximity and host preference for </span><em><span>P</span><span>. proximus</span></em><span>.</span></p>
Decomposition of bark beetle-attacked trees after mortality varies across forests
<p>Data are from a 2 year experiment examining differences in decomposition processes between bark beetle-attacked trees and trees not attacked by bark beetles in three sites spanning a broad geographic area. Specifically, in Honduras, and Mississippi and Arizona, USA, we felled one recently bark beetle-attacked and one apparently healthy conspecific tree at each site that was cut into 120 experimental logs. Logs of each tree (attacked or unattacked) were assigned one of three metal mesh covering treatments: 1) fully covered to exclude all macroinvertebrates, 2) covered from above to exclude secondary bark beetle colonization, 3) no cover to allow all detrital food web organisms. Half of all logs at each site was collected after 1 and 2 years and the density loss, insect visual damage rating, and abundance of termites, ants, and beetles was measured.</p>
Bark beetle predictive model results (FirEUrisk)
<p>This datasets contains three products developed within the FirEUrisk project. <strong>FirEUrisk</strong> is funded by the European Union as part of the Horizon 2020 framework program (Grant Agreement No. 101003890). It is focused on evaluating and promoting an integrated science-based strategy to improve forest fire risk assessments in Europe</p> <p><strong>FirEUrisk_BarkBeetleAttackPredic_50m_DE.CZ.PL_20240126_V01.tif</strong></p> <p>This product shows the probability of a bark beetle (<em>Ips typographus</em>) attack between September 2020 and October 2021. The assessment includes a set of risk factors that predispose forests to pest infestations and wildfires propagation for the FirEUrisk Central-Eastern Europe Pilot Site. This technological solution aims to identify areas prone to a bark beetle infestation using Earth Observation data and machine learning techniques. The geospatial results are provided in raster format (.tiff) to help managers optimise their resources and mitigate the negative effects of plagues. The results indicate the probability of a bark beetle attack, being ranged from 0 to 100.</p> <p> <br><strong>FirEUrisk_BarkBeetleDamage_10m_DE.CZ.PL_20240126_V01.tif</strong></p> <p>This product contains an estimate of the real bark beetle damage between September 2020 and October 2021. This estimate was derived from Sentinel-2 imagery and was used as target to train the predictive model.</p> <p> <br><strong>FirEUrisk_SpruceClassification_10m_DE.CZ.PL_20240126_V01.tif</strong></p> <p>This product contains a classification of spruce <em>(Picea abies) </em>area for September 2020. It was derived from Sentinel-2 imagery and used as input for the estimation of bark beetle damage and the predictive model.</p>
Fig. 1 in Eidophelus caucasicus (Lindemann, 1877) a bark beetle confirmed for the Italian fauna after almost 100 years (Coleoptera: Curculionidae, Scolytinae)
Fig. 1 –Eidophelus caucasicus (Lindemann, 1877) (1,72 mm).
Data from: Is salvage logging effectively dampening bark beetle outbreaks and preserving forest carbon stocks?
<p>The published dataset contains the result of the paper titled <em><strong>Is salvage logging effectively dampening bark beetle outbreaks and preserving forest carbon stocks? </strong></em></p> <p>The first sheet contains time averages for the 104years simulation period for several variables driven by different climate conditions and salvaging intensities. Other sheets shows data for the Appendices: time series for reference climate and one climate model scenario, time averages of salvaged and removed C and finally the time series of number of frost days.</p> <p>See more details about target area, and iLand model:</p> <p>https://www.sciencedirect.com/science/article/pii/S0168192318302946</p> <p>http://iland.boku.ac.at/startpage</p> <p> </p> <p>contact: Laura Dobor; dobor.laura@gmail.com</p>
Fig. 3 in Potential pest bark and ambrosia beetles from Cuba not present in the continental United States
Fig. 3. Dorsal and lateral view of female Ips calligraphus interstitialis. Scale bar: 1 mm.
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.
FIGURE 4 in The Mites (Acari) Associated With Bark Beetles In The Koli National Park In Finland
FIGURE 4: (Prostigmata): a – Mexecheles virginiensis; b – Under site of pedipalpus of M. virginiensis; c – Ereynetes propescutulis; d – Frontal part of E. propescutulis; e – Aethiophenax ipidarius; f – Leg I of A. ipidarius.
FIGURE 2 in The Mites (Acari) Associated With Bark Beetles In The Koli National Park In Finland
FIGURE 2: (cohort Astigmata): a – Nanacarus sp.; b – "Eyes" of Nanacarus sp.; c – Frontal view of Bonomoia pini; d – Dorsal side of B. pini; e – Ventral side of B. pini; f – Boletoglyphus boletophagi.
FIGURE 3 in The Mites (Acari) Associated With Bark Beetles In The Koli National Park In Finland
FIGURE 3: (Oribatida): a – Siculobata leontonycha; b – A claw of tarsus I of S. leontonycha; c – Diapterobates humeralis; d – Frontal part of D. humeralis; e – Carabodes labyrinthicus; f – Ceratoppia bipilis.
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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.