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FIGURE 4 in Deep-sea ascidians (Chordata, Tunicata) from the SW Atlantic: species richness with descriptions of two new species
FIGURE 4. Aplidium solitarium Maggioni & Tatián (sp. nov. present work). A: colony; B: zooid; C: larva.
FIGURE 1 in An updated checklist of the herpetofauna of Querétaro, Mexico: species richness diversity, and conservation status
FIGURE 1. Biogeographic provinces of the state of Querétaro, Mexico. CP: Central Plateau; SMO: Sierra Madre Oriental; MTB: Mexican Transvolcanic Belt (INEGI 2009). Map modified from Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO 2008).
FIGURE 2 in An updated checklist of the herpetofauna of Querétaro, Mexico: species richness diversity, and conservation status
FIGURE 2. Types of climates of the state of Querétaro, México. (A)C(m): Semi-warm wet; (A)C(w1): Semi-low subhumid; Am: Warm wet; Aw1, Aw2, Awo: Warm subhumid; Bs1kw: Temperate semiarid; Bs0hw: Dry rain; Cb´(w2): Semi-sub humid; C(wo): Subhumid tempered. Map modified from Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONA- BIO 2008).
FIGURE 4 in Species richness, geographic distribution and endemism of Pinguicula (Lentibulariaceae) in the Mexican Transition Zone
FIGURE 4. Species richness and endemism distribution of Pinguicula by: A) country; B) biome; C) biogeographic province. Dark grey = total species, light grey = endemic species.
FIGURE 3 in Species richness, geographic distribution and endemism of Pinguicula (Lentibulariaceae) in the Mexican Transition Zone
FIGURE 3. Biomes with habitats of Pinguicula. A) Cave with stalactites, Tropical & Subtropical Coniferous Forest; B, I) Inselbergs, Tropical & Subtropical Coniferous Forest; C–D) Limestone rock walls, Tropical & Subtropical Moist Broadleaf Forest; E–G, L) Tropical & Subtropical Dry Broadleaf Forest; H) Ravine with a gypsum soils, Tropical & Subtropical Coniferous Forest; J–L) Tropical & Subtropical Coniferous Forest; K) Desert & Xeric Shrubland.
FIGURE 2 in Species richness, geographic distribution and endemism of Pinguicula (Lentibulariaceae) in the Mexican Transition Zone
FIGURE 2. Temperate winter and annual tropical rosettes in Pinguicula. A) P. ehlersieae; B) P. crassifolia; C, I) P. moranensis; D) P. acuminata; E) P. nivalis; F) P. michoacana; G) P. rotundiflora; H) P. kondoi; J) P. lilacina; K) P. takaki; L) P. pygmaea. A–C) epigeous rosettes, D–F) hypogeous rosettes, G–I), subhypogeous rosettes, J–L) annual rosettes. A–L) J. López.
FIGURE 6 in Species richness, geographic distribution and endemism of Pinguicula (Lentibulariaceae) in the Mexican Transition Zone
FIGURE 6. Geographical distribution of subgenera and species of Pinguicula. A) Subgenera distribution; B) Pinguicula subgenus Isoloba; C) Pinguicula subgenus Pinguicula; D) Pinguicula subgenus Temnoceras.
FIGURE 5 in Species richness, geographic distribution and endemism of Pinguicula (Lentibulariaceae) in the Mexican Transition Zone
FIGURE 5. Distribution of Pinguicula by elevation. A) Histogram frequency of the species richness distribution, in dark grey the principal class; B) boxplot distribution of Pinguicula species.
FIGURE 4 in Pollen morphology of selected species of Lentibulariaceae Rich. from Western Cuba based on light microscopy and its taxonomic implications
FIGURE 4. Pollen grain ornamentation in Lentibulariaceae and pollen types in Utricularia L. Genlisea A.St.-Hil.: G. filiformis (A); Pinguicula L. ser. Albidae Casper: P. filifolia subsp. alba (B); Utricularia L.: Type I, U. juncea (C); Type II, U. simulans (D); Type III, U. foliosa (E). Bars = 10 μm.
FIGURE 1 in Pollen morphology of selected species of Lentibulariaceae Rich. from Western Cuba based on light microscopy and its taxonomic implications
FIGURE 1. Photomicrographs of pollen grains of Genlisea A.St.-Hil. and Pinguicula L. ser. Albidae Casper. Genlisea filiformis (A, polar view); Pinguicula albida (B, polar view; C, equatorial view); P. cubensis (D, polar view; E, equatorial view); P. filifolia subsp. alba (F, polar view; G, equatorial view); P. filifolia subsp. filifolia (H, polar view; I, equatorial view). Bars = 10 μm.
FIGURE 6 in Pollen morphology of selected species of Lentibulariaceae Rich. from Western Cuba based on light microscopy and its taxonomic implications
FIGURE 6. Pollen types (I, II and III) identified in Utricularia species according to cluster analysis based on morphometric characteristics. U.fol = U. foliosa, U.gib = U. gibba, U.jun = U. juncea, U.pus = U. pusilla, U.res = U. resupinata, U.sim = U. simulans, U.sub = U. subulata.
FIGURE 5 in Pollen morphology of selected species of Lentibulariaceae Rich. from Western Cuba based on light microscopy and its taxonomic implications
FIGURE 5. Principal Component Analysis (PCA) performed on the pollen metric variables for Genlisea, Pinguicula, and Utricularia. G.fil = Genlisea filiformis, P.alb = Pinguicula albida, P.cub= P. cubensis, P.fil.a = P. filifolia subsp. alba, P.fil.f = Pinguicula filifolia subsp. filifolia, U.fol = Utricularia foliosa, U.gib = U. gibba, U.jun = U. juncea, U.pus = U. pusilla, U.res = U. resupinata, U.sim = U. simulans, U.sub = U. subulata.
FIGURE 3 in Pollen morphology of selected species of Lentibulariaceae Rich. from Western Cuba based on light microscopy and its taxonomic implications
FIGURE 3. Photomicrographs of pollen grains of Utricularia L. Utricularia pusilla (A, polar view; B, equatorial view); U. resupinata (C, polar view; D, equatorial view; E, ornamentation); U. simulans (F, polar view; G, equatorial view); U. subulata (H, polar view; I, equatorial view). Bars = 10 μm.
FIGURE 2 in Pollen morphology of selected species of Lentibulariaceae Rich. from Western Cuba based on light microscopy and its taxonomic implications
FIGURE 2. Photomicrographs of pollen grains of Utricularia L. Utricularia foliosa (A, polar view; B, equatorial view; C, ornamentation); U. gibba (D, polar view; E, equatorial view; F, ornamentation); U. juncea (G, polar view, H, equatorial view; I, ornamentation). Bars = 10 μm.
FIGURE 4. Species richness along a in Revealing the Baja California Peninsula's Hidden Treasures: An Annotated checklist of the native bees (Hymenoptera: Apoidea: Anthophila)
FIGURE 4. Species richness along a north to south latitudinal gradient. The total known richness is represented by the red line, the Nearctic species (yellow line) represent species found in the USA but not in any other Mexican state. Endemic species (green line) represent species only found in BCP, excluding those from Guadalupe Island.
FIGURE 3. Species Richness per Ecoregion. The richness data per ecoregion were categorized into classes with equal intervals, using 14 in Revealing the Baja California Peninsula's Hidden Treasures: An Annotated checklist of the native bees (Hymenoptera: Apoidea: Anthophila)
FIGURE 3. Species Richness per Ecoregion. The richness data per ecoregion were categorized into classes with equal intervals, using 14 breaks. However, the map displays only the eight categories where ecoregional richness is concentrated. Ecoregion: Coastal Sage Matorral (CSM); Chaparral (Ch); Baja California Mountains (BCM); Succulent Coastal Matorral (SCM); Lower Colorado Desert (LCD); Central Desert (CD); Vizcaíno Desert (VD); Gulf Coast (GC); La Giganta Ranges (GR); Magdalena Plains (MP); Tropical Dry Forest (TDF); Cape Mountains (CM); Sarcocaulescent Shrubland (SS).
Data from: The species richness pattern of vascular plants along a tropical elevational gradient and the test of elevational Rapoport's rule depend on different life‐forms and phytogeographic affinities
The research about species richness pattern and elevational Rapoport's rule (ERR) have been carried out mostly in the temperate regions in the recent years and scarcely in the tropical mountains; meanwhile, it is unclear whether the ERR is consistent among different life‐forms and phytogeographic affinities. Here, we compiled a database of plant species of Mount Kenya, a tropical mountain of East Africa, and divided these species into twelve groups depending on the life‐form and phytogeographic affinity of each species. We inspected the species richness pattern of each group along the elevation gradient and also tested ERR of each group using Stevens' method. Our results showed that species richness of the total species showed a positively skewed (hump‐shaped) pattern along the elevation gradient and different life‐forms and phytogeographic affinities showed similar hump‐shaped patterns as the total species. The average elevation range size of the total species and herbaceous species showed increasing patterns along the elevation gradient, while lycophytes and ferns, and woody species showed an obvious downward trend after peaking in the high elevation regions. We concluded that the widely distributed herbaceous species which also have broad elevation range sizes are more applicable to ERR, while the narrowly distributed woody species with small elevation range sizes occurring in the higher elevations could reverse ERR. Therefore, we concluded that the ERR is not consistent among different organisms in the same region.
Data from: Plant species richness negatively affects root decomposition in grasslands
Plant diversity enhances many ecosystem functions, including root biomass production, which drives soil carbon input. Although root decomposition accounts for a large proportion of carbon input for soil, little is known about plant diversity effect on this process. Plant diversity may affect root decomposition in two non-exclusive ways: by providing roots of different substrate quality (e.g. root chemistry) and/or by altering the soil environment (e.g. microclimate). To disentangle these two pathways, we conducted three decomposition experiments using a litter-bag approach in a grassland biodiversity experiment. We hypothesized that: (i) plant species richness negatively affects substrate quality (indicated by increased C:N ratios), which we tested by decomposing roots collected from each experimental plot in one common plot; (ii) plant species richness positively affects soil environment (indicated by increased soil water content), which we tested by decomposing standardized roots in all experimental plots; (iii) the overall effect of plant species richness on root decomposition, due to the contrast between quality and environmental effects, is neutral, which we tested by decomposing community roots in their 'home' plots. Plant species richness negatively affected root decomposition in all three experiments. The negative effect of plant species richness on substrate quality was largely explained by increased root C:N ratios along the diversity gradient. Functional group presence explained more variance in substrate quality than species richness. Here, the presence of grasses negatively affected substrate quality and root C:N ratios, while the presence of legumes and small herbs had positive effects. Plant species richness had a negative effect on soil environment despite its positive effect on soil water content which is known to stimulate decomposition. We argue that – instead of soil water content – a combined effect of soil temperature and seasonality might drive environmental effect of plant diversity on decomposition in our plant communities, but this remains to be tested. Synthesis. Our results demonstrate that both substrate quality and soil environment contribute to the net negative effect of plant diversity on root decomposition. This study promotes our mechanistic understanding of increased soil carbon accumulation in more diverse grassland plant communities.
Figure 1 in Application of species-richness estimators for the assessment of earthworm diversity
Figure 1. Performance of eight species-richness estimators (dashed lines) for earthworms sampling data set: ACE; ICE; Chao 1; Chao 2; Jack 1; Jack 2; Bootstrap; Michaelis–Menten asymptote, and the species accumulation curve (solid lines).
Figure 2 in Multi-scale patterns in the host specificity of plant-dwelling arthropods: the influence of host plant and temporal variation on species richness and assemblage composition of true bugs (Hemiptera)
Figure 2. Non-metric multi-dimensional scaling (MDS) ordination showing hemipteran composition for all sampling periods with selected plant species superimposed.
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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.