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Figure 6 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 6. Phylogeny of Cryphalini, Coriacephilini, Xyloterini, and Trypophloeini, Part 1. Tree is made in RAxML, constrained to the tree by Johnson et al. (2018). Support values are not included due to artificial inflation by constraints.The constraint tree is indicated by a bold line. Outgroup taxa are omitted from the figure. Name pre- and post-revision are displayed, with changes marked in bold. Color boxes indicate genera.The type species of a genus is marked with underlined text.
Figure 5 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 5. Labeled diagram of aedeagus with terminology.Top shows position of aedeagus in preserved beetles, middle shows aedeagus of Cryphalus asperatus, bottom shows aedeagus of Ernoporus tiliae. Sketches show A) spiculum gastrale, B) dorsal view, C) lateral view, and D) ventral view.
Figure 4 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 4. Labeled photos showing the variation in the proventriculus of former Cryphalini genera.A) Cryphalus, B) Ernoporus, C) Eidophelus, and D) Procryphalus.
Figure 3 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 3. Labeled diagram of antennal morphology used in this study. Specimen illustrated is Hypothenemus birmanus.
Figure 2 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 2. Labeled diagram of external morphology used in this study. Specimen illustrated is Hypothenemus birmanus.
Figure 1. Simplified cladogram inferred from a in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 1. Simplified cladogram inferred from a>100-gene phylogeny presented in Johnson et al. (2018). Blue text represents genera of Cryphalini sensu (Wood 1986a)
Figure 24 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 24. Images of Eidophelus spp.: Dorsal and lateral photos of A) E. quadridens, B) E. fagi, C) E. semenovi, D) E. spessivtzevi, E) E. squamosus.
Figure 36 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 36. Images of Stephanopodius spp.: Dorsal and lateral photographs of A) Stephanopodius ghanaensis, B) S. dubiosus; C) head of S. dubiosus; D) proventriculus of S. dubiosus, and E) aedeagus of S. dubiosus.
Figure 27 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 27. Images of Ernoporus spp.: Dorsal and lateral photos of A) E. corpulentus, B) E. imitatrix, C) E. parvulus, and D) E. tiliae. Eye and antennae of E) E. imitatrix and F) E. parvulus.
Figure 30 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 30. Images of Hemicryphalus argutus: Dorsal and lateral photographs of A) male and B) female, eye, and antennae of A) male and B) female, E) aedeagus, and F) proventriculus.
Figure 23 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 23. Images of Eidophelus spp.: Dorsal and lateral photos of A) E. darwini, B) E. euphorbiae, C) E. jalappae, D) E. hylesinopsis, E) E. puerarae.
Figure 31 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 31. Images of Procryphalus spp.: Dorsal and lateral photographs of A) P. fraxini, B) P. mucronatus, C) P. petioli, D) eye and antennae of P. mucronatus, E) male genitalia of P. mucronatus, F) proventriculus of P. mucronatus.
Figure 26 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 26. Images of Eidophelus spp.: Proventriculus of A) E. darwini, B) E. fagi, C) E. hylesinopsis, D) E. jalappae, E) E. quadridens, and F) E. spessivtzevi.
Figure 29 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 29. Images of Ernoporus spp.: Dorsal and lateral photographs of A) E. armatus (holotype), B) E. concentralis (lectotype), C) E. tuberculatus (holotype). Proventriculus of D) E. concentralis, E) eye and antennae of E. concentralis.
Figure 35 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 35. Images of Stegomerus spp.: Dorsal and lateral photographs of A) S. montanus, B) S. vulgaris, C) Ventral and lateral photograph of S. pygmaeus, D) Proventriculus of S. pygmaeus, eye, and antennae of E) S. montanus, and F) S. vulgaris.
Data associated with studies on wind and phoretic dispersal of crapemyrtle bark scale
<p>These are data associated with studies on the wind-mediated and phoretic dispersal of crapemyrtle bark scale.</p>
FIGURE 3. Magnolia cirorum. A, B. Tree. C. Bark. D in Magnolia cirorum (Magnolia sect. Talauma, Magnoliaceae), a new species from Pico Bonito National Park, Atlántida, Honduras
FIGURE 3. Magnolia cirorum. A, B. Tree. C. Bark. D. Flower at the female phase with a Nitidulidae beetle. E. Close-up of an undetermined Nitidulidae beetle, right-side-up and upside down. Photographs A & B by M.A. Muñiz; C by A. Vázquez; and D & E by D. Aguirre.
Data for: Climatic and management-related drivers of endemic European spruce bark beetle populations in boreal forests
<p>Climate change is already reducing carbon sequestration in Central European forests dramatically through extensive droughts and bark beetle outbreaks. Further warming may threaten the enormous carbon reservoirs in the boreal forests in northern Europe, unless disturbance risks can be reduced by adaptive forest management. The European spruce bark beetle (<em>Ips typographus</em>) is a major natural disturbance agent in spruce-dominated forests and can overwhelm the defences of healthy trees through pheromone-coordinated mass-attacks.</p> <p>We used an extensive dataset of bark beetle trap counts to quantify how climatic and management-related factors influence bark beetle population sizes in boreal forests. Trap data was collected during a period without outbreaks and can thus identify mechanisms that drive populations towards outbreak thresholds.</p> <p>The most significant predictors of bark beetle population size were volume of mature spruce, extent of newly exposed clearcut edges, temperature, and soil moisture. For clearcut edge, temperature, and soil moisture, a three-year time lag produced the best model fit. We demonstrate how a model incorporating the most significant predictors, with a time lag, can be a useful management tool by allowing spatial prediction of future beetle population sizes.</p> <p><em>Synthesis and Applications</em>: Some of the population drivers identified here, i.e., spruce volume and clearcut edges, can be targeted by adaptive management measures to reduce the risk of future bark beetle outbreaks. Implementing such measures may help preserve future carbon sequestration of European boreal forests.</p>
Effects of host essential oils and log length on bark beetle attack
Open the record for dataset details and reuse information.
FIGURE 11 in New species, new synonymy, taxonomic notes and new records of bark and ambrosia beetles from the southwestern United States and northern Mexico (Coleoptera: Curculionidae: Platypodinae and Scolytinae)
FIGURE 11. Distribution maps. Newly reported records are represented by stars, previously reported records by solid circles. (A) Monarthrun huachucae, (B) Phloeosinus arizonicus, P. tachubayae, (C) Phloeotribus texanus, (D) Pityophthorus acutus: (E) Pityophthorus mexicanus, (F) Pityophthorus quercinus, P. guatemalensis.
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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.