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12 results for “biogeographic contrast”
Figure 4 in Deforestation affects biogeographical regionalization: a case study contrasting potential and extant distributions of Mexican terrestrial mammals
Figure 4. Map of Mexican provinces based on models of species' distributions in t1: baj, Baja California Chiapas; ist, Isthmus of Tehuantepec; mgu, Mexican Gulf; mpa, Mexican Pacific Coast; mpl, Mexican Sierra Madre Occidental; sms, Sierra Madre del Sur; son, Sonora; tam, Tamaulipas; vol, Transmexican
Figure 2 in Deforestation affects biogeographical regionalization: a case study contrasting potential and extant distributions of Mexican terrestrial mammals
Figure 2. Simplified consensus cladograms of (a) t1 (natural vegetation), and (b) t2 (land use and vegetation map based on the 2000 Inventario Forestal Nacional (SEMARNAT 2001).
Figure 1 in Deforestation affects biogeographical regionalization: a case study contrasting potential and extant distributions of Mexican terrestrial mammals
Figure 1. Ecological niche modelling projected as potential (based on the natural vegetation, t1) and extant (based on land use and natural vegetation, t2) distribution of two terrestrial mammals. Black areas depict part of distributions of (a) Chaetodipus spinatus in the Baja California Peninsula, and (b) Cabassous centralis in Chiapas.
Figure 3 in Deforestation affects biogeographical regionalization: a case study contrasting potential and extant distributions of Mexican terrestrial mammals
Figure 3. Mexican regionalization based on consensus cladogram of t1.
Data from: Contrasting microbial biogeographical patterns between anthropogenic subalpine grasslands and natural alpine grasslands
The effect of plant species composition on soil microbial communities was studied at the multiregional level. We compared the soil microbial communities of alpine natural grasslands dominated by Carex curvula and anthropogenic subalpine pastures dominated by Nardus stricta. We conducted paired sampling across the Carpathians and the Alps and used Illumina sequencing to reveal the molecular diversity of soil microbes. We found that bacterial and fungal communities exhibited contrasting regional distributions and that the distribution in each grassland is well discriminated. Beta diversity of microbial communities was much higher in C. curvula grasslands due to a marked regional effect. The composition of grassland-type core microbiomes suggest that C. curvula, and N. stricta to a lesser extent, tend to select a cohort of microbes related to antibiosis/exclusion, pathogenesis and endophytism. We discuss these findings in light of the postglacial history of the studied grasslands, the habitat connectivity and the disturbance regimes. Human-induced disturbance in the subalpine belt of European mountains has led to homogeneous soil microbial communities at large biogeographical scales. Our results confirm the overarching role of the dominant grassland plant species in the distribution of microbial communities and highlight the relevance of biogeographical history.
Figure 4. A in Small islands and large biogeographic barriers have driven contrasting speciation patterns in Indo-Pacific sunbirds (Aves: Nectariniidae)
Figure 4. A, geographic distribution of Leptocoma aspasia haplotypes in Wallacea and the Sahul Shelf. Each circle represents an island and the fractions within the circle the haplotypes found on that island, proportioned to represent the frequency of each haplotype. The haplotypes are named according to the species-level divisions suggested by ABGD and coloured to represent the clades supported by our phylogenetic analyses. B, TCS haplotype network of Leptocoma haplotypes. Each circle represents a unique ND2–ND3 haplotype, sized to represent how many birds carried that haplotype. The hatch marks represent mutations between haplotypes, also given as numbers in brackets for the wider divergences. The unfilled, white nodes represent hypothetical ancestral states. C, Bayesian consensus tree of Leptocoma haplotypes. Nodes are labelled with Bayesian probabilities.
Figure 1. A in Small islands and large biogeographic barriers have driven contrasting speciation patterns in Indo-Pacific sunbirds (Aves: Nectariniidae)
Figure 1. A, map of the Indo-Pacific region with study regions marked inside boxes. The range of the olive-backed sunbird is shaded horizontally in yellow, the range of the black sunbird vertically in purple, both according to BirdLife International. Seas deeper than 200 m are represented by a darker blue. Biogeographic barriers (Wallace, 1863; Lydekker, 1896) are represented with red lines. B, map of south-east Sulawesi and the Wakatobi Islands in Wallacea, with olive-backed sunbird sampling sites marked with yellow downward-pointing triangles, black sunbird sampling sites with purple upward-pointing triangles. C, map of Australia and New Guinea on the Sahul Shelf, with olive-backed sunbird sampling sites marked with yellow downward-pointing triangles, black sunbird sampling sites with purple upward-pointing triangles. D, map of the Bismarck Archipelago with the sampling site of the B10K black sunbird marked with a purple triangle.
Figure 2 in Small islands and large biogeographic barriers have driven contrasting speciation patterns in Indo-Pacific sunbirds (Aves: Nectariniidae)
Figure 2. Simplified version of a combined maximum likelihood (ML) and Bayesian phylogenetic tree of Cinnyris and Leptocoma species sampled in Wallacea and the Sahul Shelf. In this figure, the outgroup is omitted and each major clade in the data is collapsed into a single branch. Tips representing focal populations are marked with coloured circles. Nodes are labelled with Bayesian probability/ ML bootstraps. Full versions of the ML and Bayesian trees, including all outgroup taxa, are provided in the Supporting Information (Figs S7, S8).
Figure 3. A in Small islands and large biogeographic barriers have driven contrasting speciation patterns in Indo-Pacific sunbirds (Aves: Nectariniidae)
Figure 3. A, geographic distribution of Cinnyris jugularis (sensu Gill et al., 2022) haplotypes in Wallacea and the Sahul Shelf. Each circle represents an island and the fractions within the circle the haplotypes found on that island, proportioned to represent the frequency of each haplotype. The haplotypes are named according to the species-level divisions suggested by ABGD and coloured to represent the clades supported by our phylogenetic analyses. B, TCS haplotype network of Cinnyris haplotypes. Each circle represents a unique ND2–ND3 haplotype, sized to represent how many birds carried that haplotype. The hatch marks represent mutations between haplotypes, also given as numbers in brackets for the wider divergences. The unfilled, white nodes represent hypothetical ancestral states. C, Bayesian consensus tree of Cinnyris haplotypes. Nodes are labelled with Bayesian probabilities.
Figure 5. A in Small islands and large biogeographic barriers have driven contrasting speciation patterns in Indo-Pacific sunbirds (Aves: Nectariniidae)
Figure 5. A, map of the Indo-Pacific with the range of the olive-backed sunbird shaded, as currently recognized by BirdLife International. Sampling sites of the birds included in our 697 bp partial ND2 analysis are marked with different triangles, according to the species they were assigned to by ABGD. Currently recognized subspecies are labelled (Gill et al., 2022). B, mean genetic distance (uncorrected p-distance) between each of the species recognized by ABGD, based on a 697 bp partial ND2 alignment. C, simplified version of a combined maximum likelihood (ML) and Bayesian phylogenetic tree of 697 bp of olive-backed sunbird ND2. In this figure the outgroup is omitted and each of the ABGD species is collapsed into a single branch. Nodes are labelled with Bayesian probability/ ML bootstraps.
Data from: A seascape genetic analysis reveals strong biogeographical structuring driven by contrasting processes in the polyploid saltmarsh species Puccinellia maritima and Triglochin maritima.
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Data from: Contrasting microbial biogeographical patterns between anthropogenic subalpine grasslands and natural alpine grasslands
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.