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72 results for “Altitudinal diversity”
FIGURE 4 in Oribatid mite diversity in Rhododendron ponticum L. canopy along an altitudinal gradient in Mtirala National Park
FIGURE 4: Changes of oribatid mite (a) abundance and (b) species number along altitudinal gradient in MNP.
FIGURE 2 in Oribatid mite diversity in Rhododendron ponticum L. canopy along an altitudinal gradient in Mtirala National Park
FIGURE 2: Oribatid mite species richness based on species accumulation curves and rarefaction methods for samples taken from rhododendron canopy microhabitats at seven elevations of MNP.
FIGURE 1 in Oribatid mite diversity in Rhododendron ponticum L. canopy along an altitudinal gradient in Mtirala National Park
FIGURE 1: Cluster of faunal similarities of oribatid species from rododendron canopy and forest floor. Explanations of abbreviations are given in table 1.
FIG. 2 in Changes in functional and taxonomic diversity and composition of corticolous lichens in an altitudinal gradient in Colombia
FIG. 2. — Continuation.
Data from: Species distribution modeling reveals the influence of climatic and geographic factors on scarab beetle beta diversity along altitudinal gradients
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Anthropogenic land‐use change shapes bird diversity along the eastern Himalayan altitudinal gradient
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Data from: Drivers of tropical rainforest composition and alpha diversity patterns over a 2,520 m altitudinal gradient
We determined the relationship of forest composition and alpha diversity (species diversity of a local assemblage) to altitude, soil and spatial factors over a 440 - 2950 ma.s.l gradient. Altitudinal gradient on the Atlantic slope of the Talamanca Cordillera, Costa Rica. We measured and identified all stems > 10 cm dbh in 32 0.25-ha undisturbed rain forest plots over the gradient. We determined compositional patterns using Non-Metric Multidimensional Scaling (NMS) ordination, and used linear regressions to explore the relationship between four alpha diversity metrics and altitude. With variation partitioning (VARPART) we determined the compositional variation explained by altitude, soil and spatial variables quantified using Principle Components of Neighbour matrices. We identified 425 species. NMS axis 1 separated a lowland zone (440-1120 m asl) from a transitional one dominated by holarctic Oreomunnea mexicana (1400-1600 m asl) and Quercus-dominated forests at altitudes >2100 m asl. The lowland zone was separated into two clusters of plots on NMS axis 2, the first in the 430-620 m asl range and the second at 1000-1120 masl. . Regressions showed that alpha diversity metrics were strongly negatively related to altitude (R2>0.78). Overall adjusted R2 from VARPART was 0.43, with 0.30, 0.21 and 0.17 for altitude, soil and space respectively. The respective adjusted R2 of individual matrices, on controlling for the other two, were 0.06, 0.05 and 0.09 (p<0.001). There are two well-defined forest compositional zones on this gradient – lowlands and montane forests – with a transitional zone at 1400-1600 m asl where lowland tropical and montane holarctic species are found together. Montane forests are very distinct in their composition and low alpha diversity. Vegetation and soil respond to altitude, and therefore temperature, as an integrated system, a model that goes beyond niche assembly as shown by the significant effect of space in the VARPART.
FIGURES 5A–E. Chrysometa petrasierwaldae n in The spider genus Chrysometa (Araneae, Tetragnathidae) from the Pico da Neblina and Serra do Tapirapecó mountains (Amazonas, Brazil): new species, new records, diversity and distribution along two altitudinal gradients
FIGURES 5A–E. Chrysometa petrasierwaldae n. sp. A. Male palp, ventral view. B. Same, retrolateral view. C. Epigynum, ventral view. D. Same, posterior view. E. Same, dorsal view. Scale bars: AB, 0.3 mm; CDE, 0.1 mm.
FIGURES 7A–D in The spider genus Chrysometa (Araneae, Tetragnathidae) from the Pico da Neblina and Serra do Tapirapecó mountains (Amazonas, Brazil): new species, new records, diversity and distribution along two altitudinal gradients
FIGURES 7A–D. Chrysometa spp. AB. Chrysometa candianii n. sp. A. Male palp, ventral view. B. Same, retrolateral view. CD. Chrysometa minuta (Keyserling). C. Male palp, ventral view. D. Same, retrolateral view. Scale bars: AB, 0.5mm; CD, 0.5 mm.
FIGURES 1. Study area. A in The spider genus Chrysometa (Araneae, Tetragnathidae) from the Pico da Neblina and Serra do Tapirapecó mountains (Amazonas, Brazil): new species, new records, diversity and distribution along two altitudinal gradients
FIGURES 1. Study area. A) South America; B) Northern South America (rectangle of map A enlarged). The mountain range at the left of the map represents the northern part of the Andes, and the mountainous region in the center of the map is the Guayana Shield, showing the study area in its southern part; C) Closer view of the study area (rectangle of map B enlarged), showing the two sampled sites, the Pico da Neblina (red circle) and the Serra do Tapirapecó (blue triangule). The white line represents the boundary between Brazil and Venezuela.
FIGURES 3A–E. Chrysometa saci n in The spider genus Chrysometa (Araneae, Tetragnathidae) from the Pico da Neblina and Serra do Tapirapecó mountains (Amazonas, Brazil): new species, new records, diversity and distribution along two altitudinal gradients
FIGURES 3A–E. Chrysometa saci n. sp. A. Male palp, ventral view. B. Same, retrolateral view. C. Epigynum, ventral view. D. Same, posterior view. E. Same, dorsal view. Scale bars: AB, 0.3 mm; CDE, 0.5 mm.
FIGURES 6A–I. Chrysometa spp. A–C. Chrysometa lomanhungae n in The spider genus Chrysometa (Araneae, Tetragnathidae) from the Pico da Neblina and Serra do Tapirapecó mountains (Amazonas, Brazil): new species, new records, diversity and distribution along two altitudinal gradients
FIGURES 6A–I. Chrysometa spp. A–C. Chrysometa lomanhungae n. sp. A. Epigynum, ventral view. B. Same, posterior view. C. Same, dorsal view. D–F. Chrysometa yanomami n. sp. D. Epigynum, ventral view. E. Same, posterior view. F. Same, dorsal view. G–I. Chrysometa santosi n. sp. G. Epigynum, ventral view. H. Same, posterior view. I. Same, dorsal view. Scale bars: A– C, 0.1 mm; D–F, 0.1 mm; G–I, 0.3 mm.
FIGURES 2A–E. Chrysometa nubigena n in The spider genus Chrysometa (Araneae, Tetragnathidae) from the Pico da Neblina and Serra do Tapirapecó mountains (Amazonas, Brazil): new species, new records, diversity and distribution along two altitudinal gradients
FIGURES 2A–E. Chrysometa nubigena n. sp. A. Male palp, ventral view. B. Same, retrolateral view. C. Epigynum, ventral view. D. Same, posterior view. E. Same, dorsal view. Scale bars: AB, 0.3 mm; CDE, 0.1 mm.
FIGURES 4A–E. Chrysometa waikoxi n in The spider genus Chrysometa (Araneae, Tetragnathidae) from the Pico da Neblina and Serra do Tapirapecó mountains (Amazonas, Brazil): new species, new records, diversity and distribution along two altitudinal gradients
FIGURES 4A–E. Chrysometa waikoxi n. sp. A. Male palp, ventral view. B. Same, retrolateral view. C. Epigynum, ventral view. D. Same, posterior view. E. Same, dorsal view. Scale bars: AB, 0.3 mm; CDE, 0.1 mm.
Fish Diversity and Assemblages along the Altitudinal Gradients of Ghamot National Park Forest Streams the State Biosphere-Reserve Neelum Valley, Pakistan
<p>Fish Diversity and Assemblages along the Altitudinal Gradients of <br>Ghamot National Park Forest Streams the State Biosphere-Reserve <br>Neelum Valley, Pakistan </p>
Data from: Multiple facets of stream macroinvertebrate alpha diversity are driven by different ecological factors across an extensive altitudinal gradient
Environmental filtering and spatial structuring are important ecological processes for the generation and maintenance of biodiversity. However, the relative importance of these ecological drivers for multiple facets of diversity is still poorly understood in highland streams. Here, we examined the responses of three facets of stream macroinvertebrate alpha diversity to local environmental, landscape-climate and spatial factors in a near-pristine highland riverine ecosystem. Taxonomic (species richness, Shannon diversity and evenness), functional (functional richness, evenness, divergence and Rao's Quadratic entropy) and a proxy of phylogenetic alpha diversity (taxonomic distinctness and variation in taxonomic distinctness) were calculated for macroinvertebrate assemblages in 55 stream sites. Then Pearson correlation coefficient was used to explore congruence of indices within and across the three diversity facets. Finally, multiple linear regression models and variation partitioning were employed to identify the relative importance of different ecological drivers of biodiversity. We found most correlations between the diversity indices within the same facet, and between functional richness and species richness were relatively strong. The two phylogenetic diversity indices were quite independent from taxonomic diversity but correlated with functional diversity indices to some extent. Taxonomic and functional diversity were more strongly determined by environmental variables, while phylogenetic diversity was better explained by spatial factors. In terms of environmental variables, habitat-scale variables describing habitat complexity and water physical features played the primary role in determining the diversity patterns of all three facets, whereas landscape factors appeared less influential. Our findings indicated that both environmental and spatial factors are important ecological drivers for biodiversity patterns of macroinvertebrates in Tibetan streams, although their relative importance was contingent on different facets of diversity. Such findings verified the complementary roles of taxonomic, functional and phylogenetic diversity, and highlighted the importance of comprehensively considering multiple ecological drivers for different facets of diversity in biodiversity assessment.
Figure 2 in Grasshopper diversity and abundance in relation to elevation and vegetation from a snapshot in Mediterranean Anatolia: role of latitudinal position in altitudinal differences
Figure 2. Relationship between elevation and species diversity (solid lines with open diamonds) and specimen numbers (dashed lines with full dots) for grasshoppers and the three most speciose subfamilies (Gomphocerinae, Oedipodinae and Calliptaminae). Notes: Six altitudinal sites in the Akdaglar range are: KA, Kalkan; SU, Sütlegen; ZT, Ziyaret Tepe; ET, Eren Tepe; AS, Akdag Subasi; AI, Akdag Ikiz Göl.
Figure 1 in Grasshopper diversity and abundance in relation to elevation and vegetation from a snapshot in Mediterranean Anatolia: role of latitudinal position in altitudinal differences
Figure 1. Map showing geographical location of the study area and the sites visited to collect Caelifera specimens. Notes: Six altitudinal sites in the Akdaglar range are: KA, Kalkan; SU, Sütlegen; ZT, Ziyaret Tepe; ET, Eren Tepe; AS, Akdag Subasi; AI, Akdag Ikiz Göl.
Figure 3 in Grasshopper diversity and abundance in relation to elevation and vegetation from a snapshot in Mediterranean Anatolia: role of latitudinal position in altitudinal differences
Figure 3. Relationship between plant species diversity (histograms) and Caelifera species diversity (solid lines with open diamonds) and specimen numbers (dashed lines with full dots). Notes: Six altitudinal sites in the Akdaglar range are: KA, Kalkan; SU, Sütlegen; ZT, Ziyaret Tepe; ET, Eren Tepe; AS, Akdag Subasi; AI, Akdag Ikiz Göl.
Figure 4 in Grasshopper diversity and abundance in relation to elevation and vegetation from a snapshot in Mediterranean Anatolia: role of latitudinal position in altitudinal differences
Figure 4. Dendogram of six stations in the Akdaglar mountain range grouped according to Caeliferan species associations determined by cluster analysis based on Bray–Curtis similarity coefficient. Notes: KA, Kalkan; SU, Sütlegen; ZT, Ziyaret Tepe; ET, Eren Tepe; AS, Akdag Subasi; AI, Akdag Ikiz Göl.
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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.