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96 results for “rarity”
Figure 1 in The lycaenid butterfly fauna (Lepidoptera) of Cosñipata, Peru: annotated checklist, elevational patterns, and rarity
Figure 1. Location of the Cosñipata Region (yellow box) in southeast Peru. © Amazonia Lodge.
Living on the edge: Predicting invertebrate richness and rarity in disturbance-prone aquatic–terrestrial ecosystems
<p>1. Temporal fluctuations in water levels cause the spatial extent of wet and dry habitats to vary in aquatic–terrestrial riverine ecosystems, complicating their biomonitoring. As such, biomonitoring efforts may fail to characterise the species that inhabit such habitats, hampering assessments of their biodiversity and implementation of evidence-informed management strategies.</p> <p>2. Relationships between the dynamic characteristics of aquatic-terrestrial habitats and their communities are well known. Thus, habitat characteristics may enable estimation of faunal assemblage characteristics such as taxonomic richness, regardless of in-channel conditions.</p> <p>3. We investigated whether indicators summarising habitat survey data can predict two metrics representing terrestrial invertebrate assemblages (e.g. taxa richness) in two aquatic–terrestrial habitats: exposed riverine sediments and dry temporary streams. We also compared the performance of unimetric and multimetric habitat indicators in making predictions.</p> <p>4. In exposed riverine sediments, >88% of predictions were correlated with observed taxa richness and an index of conservation status. Values predicted by exposed riverine sediment samples were correlated with those observed in temporary stream channels with comparable riparian (i.e. largely agricultural) land use, but not those observed in channels with contrasting (i.e. more urban) land use.</p> <p>5. Unimetric habitat indicators performed similarly to more complex multimetric indicators, with each explaining ≤6% of the variability in taxa richness and the index of conservation status. The different spatial scales at which invertebrates respond to habitat conditions and at which indicators record habitat conditions, and a more comprehensive training dataset that incorporates a full range of habitat conditions (i.e. land use), may improve future predictions.</p> <p>6. We demonstrate that invertebrate assemblage characteristics can be predicted regardless of in-channel conditions. Agreement between exposed riverine sediment predictions and temporary stream observations suggests that these predictions are transferable among a range of aquatic–terrestrial habitat types, and could thus be widely applied to aid conservation of riverine biodiversity in dynamic aquatic–terrestrial ecosystems.</p>
Fig. 2 in Trapping methods and apparent commonness and rarity of small carrion beetles (Coleoptera: Leiodidae, Cholevinae)
Fig. 2. Lichtenbeek data plotted against those from Wijster (log scale).
Fig. 1 in Trapping methods and apparent commonness and rarity of small carrion beetles (Coleoptera: Leiodidae, Cholevinae)
Fig. 1. Lichtenbeek data plotted against the baited-pitfall data from Růžička (1994).
Vegetation survey data to understand drivers of plant rarity
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Data from: Spatial patterns and rarity of the white-phased ‘Spirit Bear’ allele reveals gaps in habitat protection
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Population and community-level rarity have opposing effects on pollinator visitation and seed set
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Data from: Rarity, geography, and plant exposure to global change in the California Floristic Province
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How does species rarity influence the functional diversity and resilience along the successional pathway in heterogeneous karst forests?
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Data from: Anthropogenic and environmental factors determine occupancy and rarity of large carnivores in the Omo valley, Southwest Ethiopia
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Data from: Rarity does not limit genetic variation or preclude subpopulation structure in the geographically restricted desert forb Astragalus lentiginosus var. piscinensis
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Context dependency of biotic interactions and its relation to plant rarity
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Living on the edge: Predicting invertebrate richness and rarity in disturbance-prone aquatic–terrestrial ecosystems
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Cross-scale drivers of woody plant species commonness and rarity in the Brazilian drylands
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Data from: Visualizing connectivity of ecological and evolutionary concepts – an exploration of research on plant species rarity
<p>Understanding the ecological and evolutionary factors that influence species rarity has important theoretical and applied implications, yet the reasons why some species are rare while others are common remain unresolved. As a novel exploration of scientific knowledge, we used network analysis conceptually to visualize the foci of a comprehensive base of >800 studies on plant species rarity within the context of ecology and evolution. In doing so, we highlight existing research strengths that could substantiate novel syntheses and gaps that could inspire new research. Our results reveal strong integrated foci on population dynamics with other ecological concepts. In contrast, despite the potential for ecological and evolutionary processes to interact, few studies explored the interplay of environmental factors and microevolutionary patterns. The cellular and molecular biology, physiology, and plasticity of rare plant species within both ecological and evolutionary contexts similarly provide avenues for impactful future investigations.</p>
FIGURE 4. Scyracepon biglobosus n in Three new species of Scyracepon Tattersall, 1905 (Isopoda: Bopyridae) from Pacific islands, with comments on the rarity of bopyrids parasitizing brachyurans
FIGURE 4. Scyracepon biglobosus n. sp. Scanning Electron Micrograph of paratype male. A. Ventral view of the male; B. Right antennae; C. Right pereopods 1–3; D. Propodus, carpus and merus of pereopod 3; E. Midventral projections of pereomere 6; F. Ventral view of pleon; G. Pleotelson and anal cone. Scale-bars: A = 0.50 mm; B, C, E = 50 um; D = 20 um; F = 80 um; G = 40 um.
FIGURE 1. Scyracepon polynesiensis n in Three new species of Scyracepon Tattersall, 1905 (Isopoda: Bopyridae) from Pacific islands, with comments on the rarity of bopyrids parasitizing brachyurans
FIGURE 1. Scyracepon polynesiensis n. sp., holotype female (A–L); A. Dorsal view; B. Left antennula and antenna; C. Right side of barbula; D. Right maxilliped, external view; E. Right oostegite 1, external view; F. Right oostegite 1, internal view; G. Right pereopod 1; H. Right pereopod 4; I. Left pleopod 1 (lp=lateral plates; en=endopodite; ex=exopodite); J. Left pleopod 3; K. Left pleopod 5; L. Uropods. Paratype male (M); M. Dorsal view. Scale-bars: A = 1 mm; B, G, H = 0.21 mm; C, D = 0.30 mm; E, F, I–M = 0.47 mm.
FIGURE 3. Scyracepon biglobosus n in Three new species of Scyracepon Tattersall, 1905 (Isopoda: Bopyridae) from Pacific islands, with comments on the rarity of bopyrids parasitizing brachyurans
FIGURE 3. Scyracepon biglobosus n. sp. Holotype female (A–I). A. Dorsal view; B. Ventral view (lp = lateral plates; en = endopodite; ex = exopodite); C. Left antennae; D. Right side of barbula; E. Left maxilliped, external view; F. Left oostegite 1, external view; G. Left oostegite 1, internal view; H. Left pereopod 1; I. Left pereopod 7; Paratype male (J); J. Dorsal view. Scale-bars: A, B = 1mm; C, H, I = 0.13 mm; D, E, J = 0.30 mm; F, G = 0.76 mm.
FIGURE 2. Scyracepon polynesiensis n in Three new species of Scyracepon Tattersall, 1905 (Isopoda: Bopyridae) from Pacific islands, with comments on the rarity of bopyrids parasitizing brachyurans
FIGURE 2. Scyracepon polynesiensis n. sp., Scanning Electron Micrograph of paratype male. A. Ventral view of the male; B. Right antennula, antennae and pereopods 1, 2; C. Propodus, carpus and merus of right pereopod 1; D. Midventral projections of pereomeres 4–7, and right pereopods 5, 6; E. Midventral projection of pereomere 6; F. Ventral view of pleon; G. Left tip of uropods. Scale-bars: A = 200 um; B, D = 50 um; C, E, G = 20 um; F = 40 um.
FIGURE 5. Scyracepon pseudoliomerae n in Three new species of Scyracepon Tattersall, 1905 (Isopoda: Bopyridae) from Pacific islands, with comments on the rarity of bopyrids parasitizing brachyurans
FIGURE 5. Scyracepon pseudoliomerae n. sp. Holotype female (A–G) A. Dorsal view; B. Right side of barbula; C. Left maxilliped, external view; D. Left oostegite 1, external view; E. Left oostegite 1, internal view; F. Left pereopod 2; G. Left pereopod 5; paratype male (H–M); H. Dorsal view; I. Ventral view; J. Left antennae; K. Right pereopod 1; L. Right pereopod 3; M. Right pereopod 5. Scale-bars: A = 1mm; B = 0.47 mm; C, H, I = 0.39 mm; D, E = 0.59 mm; F, G, J–M = 0.21 mm.
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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.