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1,514 results for “Widespread”
Figure 4 in Revalidation of Leucetta floridana (Haeckel, 1872) (Porifera, Calcarea): a widespread species in the tropical western Atlantic
Figure 4. Leucetta cf. floridana from Brazil. A, live specimen (photo: F. Moraes); B, triactine I; C, triactine II and several triactines I; D, tetractine I; E, detail of the apical actine of tetractine I; F, sagittal tetractine I; G, tetractine II and several triactines I; H, detail of the apical actine of tetractine II. Scale bars: A = 1 cm; B–H = 100 Mm.
Supplementary material 1 from: Goetz ARB, González-Sargas E, Vidal MC, Shafroth PB, Henry AL, Sher AA (2024) Outcomes of control and monitoring of a widespread riparian invader (Tamarix spp.): a comparison of synthesis approaches. NeoBiota 91: 67-98. https://doi.org/10.3897/neobiota.91.111628
Additional summaries of published literature
Supplementary material 2 from: Goetz ARB, González-Sargas E, Vidal MC, Shafroth PB, Henry AL, Sher AA (2024) Outcomes of control and monitoring of a widespread riparian invader (Tamarix spp.): a comparison of synthesis approaches. NeoBiota 91: 67-98. https://doi.org/10.3897/neobiota.91.111628
Reviewed publications
Rapid and widespread expansion of invasive Alternanthera philoxeroides promoted by its high and stable nitrogen, phosphorus and potassium homeostasis
Open the record for dataset details and reuse information.
Distribution. Widespread in the sandy deserts and semi-deserts of N Africa to N Sinai. in Canidae
Distribution. Widespread in the sandy deserts and semi-deserts of N Africa to N Sinai.
Phylogenomic analyses of the East Asian endemic Abelia (Caprifoliaceae) shed insights into the temporal and spatial diversification history with widespread hybridization
<p><b>• </b><b>Background and Aims </b><i>Abelia</i> (Caprifoliaceae) is a small genus with five species, including one man-made hybrid and several natural hybrids. The genus has a discontinuous distribution in Mainland China, the Taiwan Island, and the Ryukyu Islands, providing a model system to explore mechanisms of species dispersal in the East Asian flora. However, the current phylogenetic relationships within <i>Abelia</i> remain uncertain.</p> <p><b>• Methods</b> In this study, we reconstructed the phylogenetic relationships within <i>Abelia</i> using nuclear loci generated by target enrichment and plastomes from genome skimming. Divergence time estimation, ancestral area reconstruction, and ecological niche modelling (ENM) were used to examine the diversification history of <i>Abelia</i>.</p> <p><b>• Key Results </b>We found extensive cytonuclear discordance across the genus<i>. </i>By integrating lines of evidence from molecular phylogenies, divergence times, and morphology, we propose to merge<i> A. macrotera </i>var.<i> zabelioides </i>into<i> A. uniflora.</i><i> </i>Network analyses suggested that there have been widespread and multiple hybridization events among<i> Abelia</i> species. These hybridization events may have contributed to the speciation mechanism and resulted in a high observed morphological diversity. The diversification of <i>Abelia</i> began in the early Eocene, followed by <i>A. chinensis</i> var. <i>ionandra </i>colonizing the Taiwan Island in the Middle Miocene. The ENM results suggested an expansion of climatically suitable areas during the Last Glacial Maximum and range contraction during the Last Interglacial. Disjunction between the Himalayan-Hengduan Mountain region (HHM) and the Taiwan Island is most likely the consequence of topographic isolation and postglacial contraction.</p> <p><b>• Conclusions </b>We used genomic data to reconstruct the phylogeny of <i>Abelia</i> and found a clear pattern of reticulate evolution in the group.<b> </b>In addition, our results support shrinkage of postglacial range and the heterogeneity of the terrain have led to the disjunction of the Mainland China-Taiwan Island. This study provides important new insights into the speciation process and taxonomy of<i> Abelia</i>.</p>
Distribution. Widespread in the sandy deserts and semi-deserts of N Africa to N Sinai. in Canidae
Distribution. Widespread in the sandy deserts and semi-deserts of N Africa to N Sinai.
Autumn larval cold tolerance does not predict the northern range limit of a widespread butterfly species
Climate change is driving range shifts, and a lack of cold tolerance is hypothesized to constrain insect range expansion at poleward latitudes. However, few, if any, studies have tested this hypothesis during autumn when organisms are subjected to sporadic low temperature exposure but may not have become cold tolerant yet. In this study, we integrated organismal thermal tolerance measures into species distribution models for larvae of the Giant Swallowtail butterfly, Papilio cresphontes, living at the northern edge of its actively expanding range. Cold hardiness of field-collected larvae was determined using three common metrics of cold-induced physiological thresholds: the supercooling point (SCP), critical thermal minimum (CTmin), and survival following cold exposure. P. cresphontes larvae in autumn have a CTmin of 2.14°C, and were determined to be tolerant of chilling. These larvae have a SCP of -6.6°C and can survive prolonged exposure to -2°C. They generally die, however, at temperatures below their SCP (-8°C), suggesting they are chill tolerant or modestly freeze avoidant. Using this information, we examined the importance of low temperatures at a broad scale, by comparing species distribution models of P. cresphontes based only on environmental data derived from other sources to models that also included the cold tolerance parameters generated experimentally. Our modelling revealed that growing degree-days and precipitation best predicted the distribution of P. cresphontes, while the cold tolerance variables did not explain much variation in habitat suitability. As such, the modelling results were consistent with our experimental results: low temperatures in autumn are unlikely to limit the distribution of P. cresphontes. Further investigation into the ecological relevance of the physiological thresholds determined here will help determine how climate limits the distribution of P. cresphontes. Understanding the factors that limit species distributions is key to predicting how climate change will drive species range shifts.
Distribution. New Guinea, widespread throughout lowlands and montane areas. in Acrobatidae
Distribution. New Guinea, widespread throughout lowlands and montane areas.
Data from: Widespread misperception about a major East Asian biogeographic boundary exposed through bibliographic survey and biogeographic meta-analysis
<p><strong>Aim</strong></p> <p>The Watase line, a major biogeographic boundary between Palearctic and Oriental realms in East Asia, is generally drawn between Akuseki and Kodakara Islands of the Northern Ryukyu archipelago, Japan. However, no evidence can be found to support the positioning of the boundary between these two tiny volcanic islands. This study aimed to confirm whether and where the biogeographical boundary should be drawn.</p> <p><strong>Location</strong></p> <p>East Asia</p> <p><strong>Taxon </strong></p> <p>Land snail, ant, dragonfly, butterfly, amphibian, reptile, bird, plant</p> <p><strong>Methods</strong></p> <p>A bibliographic survey was carried out to revisit an original definition of the Watase line and its usage. Biogeographic and meta-analyses were also performed using a Simpson dissimilarity index calculated from published distribution data to test whether and where any biogeographic boundary exists. To ensure the validity of the study design, similar surveys and analyses were conducted in another region of Southern Ryukyu, where a reliable biogeographic boundary has been proposed as a positive control.</p> <p><strong>Results</strong></p> <p>The bibliographic survey showed that the Watase line had been described without specifying the precise position. No revised definition has been proposed for the boundary to date. Biogeographic analyses do not support the existence of a boundary between Akuseki and Kodakara Islands. Meanwhile, the presence of a boundary in Southern Ryukyu was endorsed by both the bibliographic survey and biogeographic analyses, supporting the validity of this study's design.</p> <p><strong>Main conclusions</strong></p> <p>This study revealed that the major biogeographic boundary is widely used with deviations from the original definition. Presumably, ideas based on inappropriate evidence, such as the distribution of a symbolic species and unpublished data, have been referred to without being questioned and led to the current widespread misunderstanding. Misunderstandings like these could occur at any biogeographic boundaries around the world, and thus, systematic reviews of all boundaries are needed for an appropriate understanding of biodiversity. </p>
Distribution. Widespread in the Philippines. in Pteropodidae
Distribution. Widespread in the Philippines.
Distribution. Widespread but recorded from relatively few locations in Pakistan, India, and Nepal. in Soricidae
Distribution. Widespread but recorded from relatively few locations in Pakistan, India, and Nepal.
Distribution. Widespread in tropical Africa from Nigeria E to Kenya and S to N Angola and Zambia. in Muridae
Distribution. Widespread in tropical Africa from Nigeria E to Kenya and S to N Angola and Zambia.
Distribution. Very widespread across sub-Saharan Africa from W, C & E to S Africa. in Muridae
Distribution. Very widespread across sub-Saharan Africa from W, C & E to S Africa.
Distribution. Widespread in coastal W & SW Angola, Namibia, W Botswana, and NW South Africa. in Muridae
Distribution. Widespread in coastal W & SW Angola, Namibia, W Botswana, and NW South Africa.
Distribution. Widespread in the highlands of Eritrea and Ethiopia at elevations of 1500-3200 m. in Muridae
Distribution. Widespread in the highlands of Eritrea and Ethiopia at elevations of 1500-3200 m.
Distribution. Widespread in Ethiopian highlands, particularly W of Rift Valley. in Muridae
Distribution. Widespread in Ethiopian highlands, particularly W of Rift Valley.
Figure 4 from: Soares IM, Azevedo-Santos VM, Benine RC (2017) Redescription of Moenkhausia megalops (Eigenmann, 1907), a widespread tetra from the Amazon basin (Characiformes, Characidae). Zoosystematics and Evolution 93(2): 255-264. https://doi.org/10.3897/zse.93.10837
Figure 4 - Moenkhausia megalops, GEA 2127, 61.4 mm SL, live specimen, Brazil, Pará State, rio Aurá, tributary of rio Guamá basin, Utinga State Park, Água Preta lake. Photo by M. Andrade.
Figure 3 from: Soares IM, Azevedo-Santos VM, Benine RC (2017) Redescription of Moenkhausia megalops (Eigenmann, 1907), a widespread tetra from the Amazon basin (Characiformes, Characidae). Zoosystematics and Evolution 93(2): 255-264. https://doi.org/10.3897/zse.93.10837
Figure 3 - Scanning electronic micrography of dentition of Moenkhausia megalops, INPA 40617, 43.2 mm SL, left internal lateral view of premaxilla, maxilla and dentary bones. Scale bar: 300µm.
Figure 5 from: Soares IM, Azevedo-Santos VM, Benine RC (2017) Redescription of Moenkhausia megalops (Eigenmann, 1907), a widespread tetra from the Amazon basin (Characiformes, Characidae). Zoosystematics and Evolution 93(2): 255-264. https://doi.org/10.3897/zse.93.10837
Figure 5 - Distribution of Moenkhausia megalops. Circles represent lots examined; star indicates type locality in the rio Tapajós basin.
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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.