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230 results for “biogeographic patterns”
Fig. 4 in Big trees of small baskets: phylogeny of the Australian genus Spyridium (Rhamnaceae: Pomaderreae), focusing on biogeographic patterns and species circumscriptions
Fig. 4. Distributions of samples of S. phylicoides, S. sp. Red Dots (J.Kellermann 689) and S. sp. Dwarf (J.Kellermann 579) used in this study. For S. phylicoides, samples are coloured by the clades in which they are placed in the nrDNA tree (Fig. 2), with the distribution of the species, on the basis of the records in the Atlas of Living Australia (2020), also shown (grey dots).
Fig. 2 in Big trees of small baskets: phylogeny of the Australian genus Spyridium (Rhamnaceae: Pomaderreae), focusing on biogeographic patterns and species circumscriptions
Fig. 2. Nuclear rDNA (nrDNA) phylogeny of Spyridium, based on Bayesian inference (BI) analysis. Bayesian posterior probabilities (PP) and ultrafast bootstrap (UFBS) values are shown at nodes when <95%; values ≥95% are not shown. Where one value for a node is supported (≥95%) and the other for that node is unsupported (<95%), only the unsupported value is shown. Where a hyphen (-) is provided at a node, this node varied in resolution in the ML tree and was therefore not transferable to the BI phylogeny. Colour coding of clades and taxa in the bar to the right of the tree matches that used on maps in Fig. 3, 4. Labels are given for some clades (A–J) and subclades (A1–J3) discussed in text. Species polyphyletic across clades are highlighted in red text. Monophyletic taxa with supported nodes are highlighted in green text. Note: S. eriocephalum is polyphyletic, but var. eriocephalum is monophyletic (and therefore coloured half red and half green). Dashed lines associated with S. tricolor, S. glaucum, S. phlebophyllum and S. subochreatum E.D.Adams 21/0907 are provided as reference points connecting taxa to the sidebar.
Fig. 1 in Big trees of small baskets: phylogeny of the Australian genus Spyridium (Rhamnaceae: Pomaderreae), focusing on biogeographic patterns and species circumscriptions
Fig. 1. Distribution of Spyridium in Australia. Dots represent filtered records accessed from Atlas of Living Australia (2020). States and territories are also high-lighted as follows: WA, Western Australia; SA, South Australia; NT, Northern Territory; Qld, Queensland; NSW, New South Wales; ACT, Australian Capital Territory; Vic., Victoria and Tas., Tasmania.
Fig. 5 in Big trees of small baskets: phylogeny of the Australian genus Spyridium (Rhamnaceae: Pomaderreae), focusing on biogeographic patterns and species circumscriptions
Fig. 5. Chloroplast genome (cpDNA) phylogeny of Spyridium, based on Bayesian inference (BI) analysis. Bayesian posterior probabilities (PP) <0.95 and ultrafast bootstrap (UFBS) values are shown at nodes when <95%; values ≥95% are not shown. Where one value for a node is supported (≥95%) and the other for that node is unsupported (<95%), only the unsupported value is shown. Where a hyphen (-) is provided at a node, this node varied in resolution in the ML tree and was therefore not transferable to the BI phylogeny. Coloured bar to the right of the tree indicates placement of samples in the nrDNA phylogeny (i.e. matching the coloured bar on Fig. 2). Labels are given for some clades (K–Q) and subclades (M1–Q2) discussed in text. Species polyphyletic across clades are highlighted in red text. Monophyletic taxa with>0.95 PP support are highlighted in green. Dashed lines associated with S. tricolor, S. glaucum, S. phlebophyllum and S. subochreatum E.D.Adams 21/0907 are provided as reference points connecting taxa to the sidebar.
Fig. 3 in Big trees of small baskets: phylogeny of the Australian genus Spyridium (Rhamnaceae: Pomaderreae), focusing on biogeographic patterns and species circumscriptions
Fig. 3. Distributions of nrDNA clades of Spyridium, colour-coded to match groups shown in Fig. 2. Clade distributions are based on those of included species, using records in the Atlas of Living Australia (2020). Distributions of S. phylicoides, S. sp. Dwarf (J.Kellermann 579) and S. sp. Red Dots (J.Kellermann 689) have been omitted from these maps and are provided in Fig. 4. (a) Distribution of Clade A1 (mid blue), Clade A2 (royal blue), S. tricolor (light blue) and S. glaucum (dark blue). The location of sample CC545 (S. tricolor) is highlighted. (b) Distribution of Clade C. The general location of the southern transition zone is also highlighted. (c) Distribution of Clade D. (d) Distribution of Clade E. (e) Distribution of S. phlebophyllum. (f) Distribution of S. eriocephalum var. eriocephalum from Clade F. (g) Distribution of Clade G. The location of sample CC566 (S. sp. Wollar) is highlighted. (h) Distribution of Clade H. (i) Distribution of Clade I, excluding S. phylicoides and S. sp. Dwarf (J.Kellermann 579). (j) Distribution of Clade J1 (bright pink), Clade J2 (deep pink) and Clade J3 (light pink). The location of sample E.D.Adams 21/0907 (S. subochreatum) is highlighted (dark grey). Spyridium phylicoides and S. sp. Red Dots (J.Kellermann 689) have been excluded from this map.
Figure 1 in Filling Linnean shortfalls increases endemicity patterns: conservation and biogeographical implications for the extreme case of Liolaemus (Liolaemidae, Squamata) species
Figure 1. Distribution of L. dorbignyi in 2000 (left) and the current (2020) distribution of L. dorbignyi, L. huayra, L. inti, L. scrocchii and L. vulcanus, species that were all considered populations of L. dorbignyi in 2000 (right).
Figure 3 in Filling Linnean shortfalls increases endemicity patterns: conservation and biogeographical implications for the extreme case of Liolaemus (Liolaemidae, Squamata) species
Figure 3. Species composition and extent of occurrence within the 11 well-studied species clades of Liolaemus, across the three studied periods (1980, 2000 and 2020). Coloured circles indicate the extent of occurrence of each species based on the thresholds of B1criteria of IUCN (green <20 000 km2 = LC/NT; yellow <5000 km2 = VU; orange <500 km2 = EN; red> 500 km2 = CR). Pie charts show the proportion of the studied species for each period corresponding to each conservation status based on the B1 criteria of IUCN.
Regional and local environment drive biogeographic patterns in intertidal microorganisms
<p><span>Aim:</span><span> Understanding large-scale spatial distribution patterns is not only a central goal of ecology but is also essential for conservation planning. Nevertheless, the biogeographical patterns of diversity and composition remain unclear for microorganisms and the role of various factors in structuring their assemblages is still poorly known. Here, we tested whether the diversity and community structure of ciliates are driven by both local environmental and regional dispersal-related processes.</span></p> <p><span>Location:</span><span> Coasts of China.</span></p> <p><span>Taxon:</span><span> Benthic ciliates.</span></p> <p><span>Results:</span><span> We found that local environmental factors including BI, salinity and MPS were more important in shaping ciliate alpha diversity than latitude. However, the Shannon alpha diversity index decreased with latitude, perhaps due to anthropogenic disturbances. DistLM analysis emphasized regional processes in shaping community structure. Both NMDS and PERMANOVA supported a clear separation among the three clusters matching with the ecoregional delineations suggested for macroorganisms. We also note that community trait composition was partially explained by a local factor, i.e. the maximum spring tide range of beaches.</span></p> <p><span>Main conclusions:</span><span> Ciliate communities were driven by both local environmental and regional factors. We suggest that these biogeographic patterns may have stemmed from large-scale environmental filtering related to the outflow of Yangtze River, rather than from dispersal limitation or historical events. The current study provides a new understanding of the biogeographic patterns and underlying mechanisms of marine microorganisms, thus helping improve their management and conservation in the face of future global change.</span></p>
Supplementary material 1 from: Trytsman M, Westfall RH, Breytenbach PJJ, Calitz FJ, Van Wyk AE (2016) Diversity and biogeographical patterns of legumes (Leguminosae) indigenous to southern Africa. PhytoKeys 70: 53-96. https://doi.org/10.3897/phytokeys.70.9147
Statistical results of the clustering analysis using the Agglomerative Hierarchical Clustering method. :
Supplementary material 4 from: Trytsman M, Westfall RH, Breytenbach PJJ, Calitz FJ, Van Wyk AE (2016) Diversity and biogeographical patterns of legumes (Leguminosae) indigenous to southern Africa. PhytoKeys 70: 53-96. https://doi.org/10.3897/phytokeys.70.9147
The predominant soil phosphorus content, pH level and exchangeable sodium percentage (ESP) expressed as a percentage for southern African leguminochoria. :
Supplementary material 3 from: Trytsman M, Westfall RH, Breytenbach PJJ, Calitz FJ, Van Wyk AE (2016) Diversity and biogeographical patterns of legumes (Leguminosae) indigenous to southern Africa. PhytoKeys 70: 53-96. https://doi.org/10.3897/phytokeys.70.9147
The predominant mean annual rainfall and minimum and maximum temperatures expressed as a percentage for southern African leguminochoria. :
FIGURE 2. A in Bird distributional patterns support biogeographical histories and are associated with bioclimatic units in the Atlantic Forest, Brazil
FIGURE 2. A) Most parsimonious area cladogram from the distribution analysis of 331 genera and 823 species of forestdependent birds from 45 localities in the Atlantic Forest and the Amazon. Values of the nodes represent the frequencies of bootstrap replicates (10,000 replicates). B) Representation of cladogram groups on the map; the localities enclosed in gray polygons correspond to group 1, and those enclosed by black polygons correspond to group 2.
FIGURE 4 in Bird distributional patterns support biogeographical histories and are associated with bioclimatic units in the Atlantic Forest, Brazil
FIGURE 4. Distributional patterns of shared unique species in group 2 of the area cladogram in Figure 2 (source: Ridgely et al., 2003).
FIGURE 1 in Bird distributional patterns support biogeographical histories and are associated with bioclimatic units in the Atlantic Forest, Brazil
FIGURE 1. Localities used in the present study. White squares represent the localities of group 1 in the area cladogram of Figure 2; black symbols represent the localities of group 2 with circles in the Amazon and triangles in the Atlantic Forest. The blue lines represent the locations of the rivers proposed as biogeographical barriers in the Atlantic forest.
FIGURE 3 in Bird distributional patterns support biogeographical histories and are associated with bioclimatic units in the Atlantic Forest, Brazil
FIGURE 3. Distributional patterns of shared unique species in group 1 of the area cladogram in Figure 2 (source: Ridgely et al., 2003).
Fig. 4 in Biogeographic patterns in the chromosomal distribution of a satellite DNA in the banded tetra Astyanax fasciatus (Teleostei: Characiformes)
Fig. 4 Metaphases of A. fasciatus after C-banding. Individuals from Sete Barras/SP— Ribeira de Iguape river basin a; Salesópolis/SP—Tietê river basin [2n046 b; 2n048 c; 2n 0 50 d]; Indaiatuba/SP—Tietê river basin e; and Pilar do Sul/SP— Paranapanema river basin f. Bars 0 5 μm
FIGURE 2. Mimosa pabstiana. A in Phylogenetic placement of Mimosa pabstiana reinforces a biogeographic pattern of the Pleistocene Arc Theory in Mimosa (Leguminosae, Caesalpinoideae)
FIGURE 2. Mimosa pabstiana. A. Detail of flowering branches. B. Detail of flowering and fruiting branches. C. Detail of craspedia. (photographed by A.C. Sevilha).
FIGURE 4. Mimosa paraibana. A in Phylogenetic placement of Mimosa pabstiana reinforces a biogeographic pattern of the Pleistocene Arc Theory in Mimosa (Leguminosae, Caesalpinoideae)
FIGURE 4. Mimosa paraibana. A. Detail of capitate inflorescences. B. Detail of craspedia. C. Detail of habit. D. Detail of spicate, paniculate inflorescences (A and C, photographed by Leonardo Jales Leitão; B, photographed by Dr. Rubens Queiroz; D, photographed by M.F. Simon).
FIGURE 1 in Phylogenetic placement of Mimosa pabstiana reinforces a biogeographic pattern of the Pleistocene Arc Theory in Mimosa (Leguminosae, Caesalpinoideae)
FIGURE 1. Phylogeny of Mimosa based on DNA sequences of the trnD-trnT noncoding plastid locus. The 50% majority-rule consensus tree from a Bayesian analysis. Letters on nodes represent well-supported clades recognized by Simon et al. (2011). Numbers next to nodes are posterior probabilities. The lines in gray represent trimerous lineages.
Figure 4 in Biogeographic patterns of tenebrionid beetles (Coleoptera, Tenebrionidae) on four island groups in the south Aegean Sea
Figure 4. Map of the island group of Nisyros, its relative position in the Aegean and the sampling stations (dots5hand collections, crosses5pitfall trapping stations).
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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)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.