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FIGURE 3. Ombrothermic graphs prepared using 22 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 3. Ombrothermic graphs prepared using 22-year (1996–2018) data from three synoptic stations close to the dust resources area (south, east, and center of Khuz).
FIGURE 5 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 5. The life-form spectrum of the flora of Khuz. Ch: chamaephytes, He: hemicryptophytes, Ph: phanerophytes, C: cryptophytes, and Th: therophytes.
FIGURE 2 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 2. Map of dust resources in Sub-Basin of Khuz rivers (prepared by Study section of dust resources-RIFR).
FIGURE 7 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 7. sd: dune species; s: species of salty soil area; sd, s: species adapted to both climate and soil of Khuz.
FIGURE 1 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 1. (Right): Map of Iran in the Middle East, the inset shows the position of Khuzestan province; (Left): Topographic map of Khuzestan province (prepared by F. Soozangar).
FIGURE 4. Ombrothermic graphs prepared using 22 in Plant diversity of Khuzestan and dust sources in the southwest of Iran, with a checklist of vascular plants
FIGURE 4. Ombrothermic graphs prepared using 22-year (1996–2018) data from three synoptic stations close to the mountain area in the north of Khuz.
FIGURE 5 in The endemic and range restricted vascular plants of Croatia: diversity, distribution patterns and their conservation status
FIGURE 5 (a) Correlation between the proportion of endemic species and specific richness in Croatia and several other areas (circle—non- European areas, triangle—European areas) (r = 0.312, p <0.05): areas above the diagonal line exhibit less than the expected endemism, and areas below the line exhibit more than the expected endemism (Croatia (EndS)—Endemics only, Croatia (RRS)—range restricted species and endemics). The compiled data are from Médail & Verlaque (1997), Georghiou & Delipetrou (2010), Casazza et al. (2005), Goldblatt (1997), Grooombridge (1992). (b) Correlation between the proportion of endemic plant taxa with respect to the total flora in a sample of European countries and areas and in eighteen latitude classes (based on the broad position of the country centroid) (r = 0.64, p <0.05).
FIGURE 4 in The endemic and range restricted vascular plants of Croatia: diversity, distribution patterns and their conservation status
FIGURE 4 (a) Relationship between number of taxa (EndS + RRS) and the longitude-latitude ratio: numbers of taxa found in southeast are higher than the numbers of taxa found in northwest Croatia (based on 1 km2 grid cells) (r = 0.09, p <0.05). (b) The altitudinal distribution of taxa within 100 m altitudinal belts.
FIGURE 3 in The endemic and range restricted vascular plants of Croatia: diversity, distribution patterns and their conservation status
FIGURE 3 Maps depicting the number of (a) endemic (EndS) and (b) range restricted species (RRS) per grid cell.
FIGURE 2 in The endemic and range restricted vascular plants of Croatia: diversity, distribution patterns and their conservation status
FIGURE 2 Histogram showing the numbers of endemic (EndS) and range restricted species (RRS) in each of the five biogeographic region in Croatia: Mediterranean (Med), Continental (Con), Alpine (Alp), and Pannonian (Pan). Taxa belonging to two regions were also specified, while taxa more widespread to more than two regions were reported as 'W'. In case the distribution data was not sufficient, taxa were considered as data deficient (DD).
FIGURE 2 in Nomenclatural novelties and typification of names in Scorzonera sensu lato (Asteraceae, Cichorieae) for the Italian vascular flora
FIGURE 2. Lectotype of Scorzonera columnae Guss. (BOLO, right-hand individual; reproduced with permission of the Herbarium, University of Bologna, Italy).
FIGURE 5 in Nomenclatural novelties and typification of names in Scorzonera sensu lato (Asteraceae, Cichorieae) for the Italian vascular flora
FIGURE 5. Lectotype of Scorzonera calcitrapifolia var. decumbens Guss. (NAP, reproduced with permission of the Herbarium, University of Naples, Italy).
FIGURE 4 in Nomenclatural novelties and typification of names in Scorzonera sensu lato (Asteraceae, Cichorieae) for the Italian vascular flora
FIGURE 4. Lectotype of Scorzonera deliciosa Guss. (BOLO; reproduced with permission of the Herbarium, University of Bologna, Italy).
FIGURE 1 in Nomenclatural novelties and typification of names in Scorzonera sensu lato (Asteraceae, Cichorieae) for the Italian vascular flora
FIGURE 1. Epitype of Scorzonera villosa Scop. (APP, reproduced with permission of the Herbarium, Centro Ricerche Floristiche dell'Appennino, Italy).
FIGURE 3 in Nomenclatural novelties and typification of names in Scorzonera sensu lato (Asteraceae, Cichorieae) for the Italian vascular flora
FIGURE 3. Lectotype of Scorzonera neapolitana Grande and of S. trachysperma var. undulata Guss. (NAP, reproduced with permission of the Herbarium, University of Naples, Italy).
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: Vascular plants mediate the effects of aridity and soil properties on ammonia-oxidizing bacteria and archaea
An integrated perspective of the most important factors driving the abundance of ammonia-oxidizing bacteria (AOB) and archaea (AOA) in natural ecosystems is lacking, especially in drylands. We evaluated how different climatic, abiotic, and nutrient-related factors determine AOA and AOB abundance in bare and vegetated microsites from grasslands throughout the Mediterranean Basin. We found a strong negative relationship between the abundance of AOA genes and soil fertility (availability of C, N, and P). Aridity and other abiotic factors (pH, sand content, and electrical conductivity) were more important than soil fertility in modulating the AOA/AOB ratio. AOB were more abundant under vegetated microsites, while AOA, highly resistant to stressful conditions, were more abundant in bare ground areas. These results suggest that AOA may carry out nitrification in less fertile microsites, while AOB predominate under more fertile conditions. Our results indicate that the influence of aridity and pH on the relative dominance of AOA and AOB genes is ultimately determined by local-scale environmental changes promoted by perennial vegetation. Thus, in spatially heterogeneous ecosystems such as drylands, there is a mutual exclusion and niche division between these microorganisms, suggesting that they may be functionally complementary.
Data from: Lake sediment multi-taxon DNA from North Greenland records early post-glacial appearance of vascular plants and accurately tracks environmental changes
High Arctic environments are particularly sensitive to climate changes, but retrieval of paleoecological data is challenging due to low productivity and biomass. At the same time, Arctic soils and sediments have proven exceptional for long-term DNA preservation due to their constantly low temperatures. Lake sediments contain DNA paleorecords of the surrounding ecosystems and can be used to retrieve a variety of organismal groups from a single sample. In this study, we analyzed vascular plant, bryophyte, algal (in particular diatom) and copepod DNA retrieved from a sediment core spanning the Holocene, taken from Bliss Lake on the northernmost coast of Greenland. A previous multi-proxy study including microscopic diatom analyses showed that this lake experienced changes between marine and lacustrine conditions. We inferred the same environmental changes from algal DNA preserved in the sediment core. Our DNA record was stratigraphically coherent, with no indication of leaching between layers, and our cross-taxon comparisons were in accordance with previously inferred local ecosystem changes. Authentic ancient plant DNA was retrieved from nearly all layers, both from the marine and the limnic phases, and distinct temporal changes in plant presence were recovered. The plant DNA was mostly in agreement with expected vegetation history, but very early occurrences of vascular plants, including the woody Empetrum nigrum, document terrestrial vegetation very shortly after glacial retreat. Our study shows that multi-taxon metabarcoding of sedimentary ancient DNA from lake cores is a valuable tool both for terrestrial and aquatic paleoecology, even in low-productivity ecosystems such as the High Arctic.
FIGURE 5 in The non-indigenous stolidobranch ascidian Polyandrocarpa zorritensis in the Mediterranean: description, larval morphology and pattern of vascular budding
FIGURE 5 — Number of zooids per 4 cm2 (average and, in brackets, SD; number of replications: 3) and percentages of large, median and small zooids (see text) in surface (S) and bottom (B) colonies.
FIGURE 4 — Polyandrocarpa zorritensis. A in The non-indigenous stolidobranch ascidian Polyandrocarpa zorritensis in the Mediterranean: description, larval morphology and pattern of vascular budding
FIGURE 4 — Polyandrocarpa zorritensis. A, diagram showing the vascular connection between the zooid and the stolon. bw, body wall; h, heart; s, stolon; sv, stolonic vessel; t, test. B, stolon with buds. a, ampullae; b, bud; nz, developing new zooid; s, stolon; sv, stolonic vessel.
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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.