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769 results for “scale insects”
Data from: Community- weighted mean plant traits predict small scale distribution of insect root herbivore abundance
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FIGURE 1 in Two new scale insect species (Hemiptera: Coccomorpha: Acanthococcidae and Pseudococcidae) and a new country record from protected areas in Iran
FIGURE 1. Adult female of Phenacoccus poae sp. n.
FIGURE 3 in Two new scale insect species (Hemiptera: Coccomorpha: Acanthococcidae and Pseudococcidae) and a new country record from protected areas in Iran
FIGURE 3. Adult female of Rhizococcus asperulae sp. n.
FIGURE 4 in Two new scale insect species (Hemiptera: Coccomorpha: Acanthococcidae and Pseudococcidae) and a new country record from protected areas in Iran
FIGURE 4. Adult female of Rhizococcus istersianus (Goux).
FIGURE 2 in Two new scale insect species (Hemiptera: Coccomorpha: Acanthococcidae and Pseudococcidae) and a new country record from protected areas in Iran
FIGURE 2. Live females of Rhizococcus asperulae sp. n. on Asperula glomerata (Rubiaceae).
Supplementary material 1 from: Schulz AN, Mech AM, Allen CR, Ayres MP, Gandhi KJK, Gurevitch J, Havill NP, Herms DA, Hufbauer RA, Liebhold AM, Raffa KF, Raupp MJ, Thomas KA, Tobin PC, Marsico TD (2020) The impact is in the details: evaluating a standardized protocol and scale for determining non-native insect impact. NeoBiota 55: 61-83. https://doi.org/10.3897/neobiota.55.38981
Supplementary tables and figures
Appendix A in A review of neococcid scale insects (Hemiptera: Sternorrhyncha: Coccomorpha) based on the morphology of the adult males
Appendix A. (Continued)
FIGURE 80 in A review of neococcid scale insects (Hemiptera: Sternorrhyncha: Coccomorpha) based on the morphology of the adult males
FIGURE 80. Aclerda tillandsiae Howell. Macropterous male. (Aclerdidae, Aclerdinae).
Appendix A in A review of neococcid scale insects (Hemiptera: Sternorrhyncha: Coccomorpha) based on the morphology of the adult males
Appendix A. (Continued)
Appendix A in A review of neococcid scale insects (Hemiptera: Sternorrhyncha: Coccomorpha) based on the morphology of the adult males
Appendix A. (Continued
FIGURE 64 in A review of neococcid scale insects (Hemiptera: Sternorrhyncha: Coccomorpha) based on the morphology of the adult males
FIGURE 64. Kermes sp. California, USA. Macropterous male. (Kermesidae). Where A=cranial apophysis.
Appendix A in A review of neococcid scale insects (Hemiptera: Sternorrhyncha: Coccomorpha) based on the morphology of the adult males
Appendix A. (Continued)
Appendix A in A review of neococcid scale insects (Hemiptera: Sternorrhyncha: Coccomorpha) based on the morphology of the adult males
Appendix A. (Continued)
FIGURE 57 in A review of neococcid scale insects (Hemiptera: Sternorrhyncha: Coccomorpha) based on the morphology of the adult males
FIGURE 57. Phoenicococcus marlatti Cockerell. Apterous adult male. (Phoenicococcidae).
Climatic and Vegetational Drivers of Insect Beta Diversity at the Continental Scale
<p>Aim</p> <p>We construct a framework for mapping pattern and drivers of insect diversity at the continental scale, and use it to test whether and which environmental gradients drive insect beta diversity.</p> <p>Location</p> <p>Global; North and Central America; Western Europe</p> <p>Time period</p> <p>21st century</p> <p>Major taxa studied</p> <p>Insects</p> <p>Methods</p> <p>An informatics system was developed to integrate terrestrial data on insects with environmental parameters. We mined repositories of data for distribution, climatic data was retrieved (WorldClim), and vegetation parameters inferred from remote sensing analysis (MODIS Vegetation Continuous Fields). Beta diversity between sites was calculated and then modelled with two methods, Mantel test with Multiple Regression and Generalized Dissimilarity Modelling.</p> <p>Results</p> <p>Geographic distance was usually the main driver of insect beta diversity. Independent of geographic distance, bioclimate variables explained more variance in dissimilarity than vegetation variables, although the particular variables found to be significant were more consistent in the latter, particularly, tree cover. Tree cover gradients drove compositional dissimilarity at denser coverages, in both continental case studies. For climate, gradients in temperature parameters were significant in driving beta diversity more so than gradients in precipitation parameters.</p> <p>Main conclusions</p> <p>Although environmental gradients drive insect beta diversity independently of geography, the relative contribution of different climatic and vegetational parameters is not expected to be consistent in different study systems. With further incorporation of additional temporal information and variables, this approach will enable development of a predictive framework for conserving insect biodiversity at the global-scale.</p> <p> </p>
Data from: Metacommunity structure of stream insects across three hierarchical spatial scales
<p>A major challenge in community ecology is to understand the underlying factors driving metacommunity (i.e. a set of local communities connected through species dispersal) dynamics. However, little is known about the effects of varying spatial scale on the relative importance of environmental and spatial (i.e. dispersal related) factors in shaping metacommunities and on the relevance of different dispersal pathways. Using a hierarchy of insect metacommunities at three spatial scales (a small, within-stream scale, intermediate, among-stream scale, and large, among-sub-basin scale), we assessed whether the relative importance of environmental and spatial factors shaping metacommunity structure varies predictably across spatial scales, and tested how the importance of different dispersal routes vary across spatial scales. We also studied if different dispersal ability groups differ in the balance between environmental and spatial control. Variation partitioning showed that environmental factors relative to spatial factors were more important for community composition at the within-stream scale. In contrast, spatial factors (i.e. eigenvectors from Moran's eigenvector maps) relative to environmental factors were more important at the among-sub-basin scale. These results indicate that environmental filtering is likely to be more important at the smallest scale with highest connectivity, while dispersal limitation seems to be more important at the largest scale with lowest connectivity. Community variation at the among-stream and among-sub-basin scales were strongly explained by geographical and topographical distances, indicating that overland pathways might be the main dispersal route at the larger scales among more isolated sites. The relative effect of environmental and spatial factors on insect communities varied between low and high dispersal ability groups; this variation was inconsistent among three hierarchical scales. In sum, our study indicates that spatial scale, connectivity and dispersal ability jointly shape stream metacommunities.</p>
Data from: A newly recognised species that has been confused with the global polyphagous pest scale insect, Coccus hesperidum Linnaeus (Hemiptera: Coccomorpha: Coccidae)
Coccus hesperidum L. (Hemiptera: Coccomorpha: Coccidae), the type species of the soft scale genus Coccus L., the family Coccidae and the whole of the scale insects (Coccoidea), is a cosmopolitan plant pest. Using DNA sequence data and morphological comparisons, we determine that there is a distinct species that is morphologically very similar to C. hesperidum. Here, we describe the species as Coccus praetermissus Lin & Tanaka sp. n., based on adult female specimens from Australia, Malaysia and Thailand. The adult female of C. praetermissus sp. n. differs from C. hesperidum in having dorsal setae with bluntly rounded tips, whereas they are sharply pointed in C. hesperidum. A detailed description of the newly recognised species is provided, incorporating adult female morphology and DNA sequences from mitochondrial and nuclear loci. Our examination of slides from The Natural History Museum, London, and several Australian institutions indicates that C. praetermissus sp. n. has been confused sometimes with C. hesperidum s. s. These findings have potential relevance to plant biosecurity and quarantine because C. hesperidum is cosmopolitan whereas C. praetermissus sp. n., which is also polyphagous and the two species can share many host plants, currently appears to be more geographically restricted. Additionally, there is deep genetic divergence within C. praetermissus sp. n. that might indicate that it is a cryptic species complex, but wider geographic sampling is required to test this possibility.
FIGURE 10 in Fistulococcus, a new genus of soft scale insect (Sternorrhyncha, Coccidae) proposed for two new species from Hong Kong and Papua New Guinea
FIGURE 10. Fistulococcus intsiae. Secondinstar female nymph. For lettering, see Fig. 8.
FIGURE 5 in A new genus and four new species of the scale insect family Eriococcidae (Hemiptera: Coccoidea) from the Austro-Oriental Region.
FIGURE 5. Sangicoccus truncatispinus (Reyne). Adult female.
FIGURE 4 in A new genus and four new species of the scale insect family Eriococcidae (Hemiptera: Coccoidea) from the Austro-Oriental Region.
FIGURE 4. Sangicoccus reynei Kozár & Konczné Benedicty sp. n. Adult female.
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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)
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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.