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230 results for “biogeographic patterns”
Figure 7 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
Figure 7 - The growth forms of key species recorded in leguminochoria (A1–E) of southern Africa. Growth forms are defined as: 1 herb is a small, non-woody seed-bearing plant in which the aerial parts die back at the end of each growing season 2 dwarf shrub is a plant smaller than a shrub which produces wood at its base and has abundant growth branching upward from the base, the upper stems dying back at the end of each growing season 3 shrub is a perennial woody plant less than 10m tall which branches low or near ground level into several main stems although it has no clear trunk 4 tree is a woody plant which grows more than 10m tall, characteristically it has one main stem and 5 climber is a plant with aerial tendrils which it uses to attach itself to a host or surface for support (Germishuizen and Meyer 2003). DN: diagnostic species are species with occurrences of 70% or higher. The leguminochoria are termed A1 Southern Afromontane A2 Albany Centre A3 Northern Highveld Region A4 Drakensberg Alpine Centre A5 Coastal Region B1 Arid Western Region B2 Lower-rainfall Cape Floristic Region B3 Central Arid Region B4 Generalist Group B5 Summer Rainfall Region B6 Northern & Northeastern Savannah Region B7 Kalahari Bushveld Region C Higher-rainfall Cape Floristic Region D1 Central Bushveld Region D2 Subtropical Lowveld & Mopane Region E Northern Mistbelt.
Figure 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
Figure 4 - The predominant climate and soil conditions associated with leguminochoria (A1–E) of southern Africa. Climatic conditions shown are mean annual rainfall (A) (mm), minimum (B) and maximum temperatures (C) (°C). The soil properties shown are pH (H2O) level (D), phosphorus content (mgkg-1) (E) and exchangeable sodium (F) (%). The leguminochoria are termed A1 Southern Afromontane A2 Albany Centre A3 Northern Highveld Region A4 Drakensberg Alpine Centre A5 Coastal Region B1 Arid Western Region B2 Lower-rainfall Cape Floristic Region B3 Central Arid Region B4 Generalist Group B5 Summer Rainfall Region B6 Northern & Northeastern Savannah Region B7 Kalahari Bushveld Region C Higher-rainfall Cape Floristic Region D1 Central Bushveld Region D2 Subtropical Lowveld & Mopane Region E Northern Mistbelt.
Figure 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
Figure 1 - Dendrogram of southern African leguminochoria delimited by Multivariate Agglomerative Hierarchical Clustering. A1 Southern Afromontane A2 Albany Centre A3 Northern Highveld Region A4 Drakensberg Alpine Centre A5 Coastal Region B1 Arid Western Region B2 Lower-rainfall Cape Floristic Region B3 Central Arid Region B4 Generalist Group B5 Summer Rainfall Region B6 Northern & Northeastern Savannah Region B7 Kalahari Bushveld Region C Higher-rainfall Cape Floristic Region D1 Central Bushveld Region D2 Subtropical Lowveld & Mopane Region E Northern Mistbelt.
Figure 6 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
Figure 6 - The Leguminochoria C–E superimposed on the Bioregions of southern Africa. The Higher-rainfall Cape Floristic Region (Cluster C) and Cluster D (Savannah Group) is divided into the Central Bushveld Region (D1) and the Subtropical Lowveld & Mopane Region (D2) as well as the Northern Mistbelt (Cluster E). The leguminochoria is mapped on bioregions defined by (Rutherford et al. 2006) referring to the legend in Figure 2.
Figure 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
Figure 3 - The Leguminochoria A1–A5 & B1 superimposed on the Bioregions of southern Africa. Cluster A (Sourveld and Mixed Veld Group) is divided into the Southern Afromontane (A1); Albany Centre (A2); Northern Highveld Region (A3); Drakensberg Alpine Centre (A4); and the Coastal Region (A5). Cluster B (Seasonal Rainfall Group) is here represented by the Arid Western Region (B1); for other subdivisions of cluster B, see Figure 5. The leguminochoria is mapped on bioregions defined by (Rutherford et al. 2006) referring to the legend in Figure 2.
Figure 5 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
Figure 5 - The Leguminochoria B2–B7 superimposed on the Bioregions of southern Africa. Cluster B (Seasonal Rainfall Group) is divided into the Lower-rainfall Cape Floristic Region (B2); the Central Arid Region (B3); the Generalist Group (B4); the Summer Rainfall Region (B5); the Northern & Northeastern Savannah Region (B6) and the Kalahari Bushveld Region (B7). For the distribution of leguminochorion B1, see Figure 3. The leguminochoria is mapped on bioregions defined by (Rutherford et al. 2006) referring to the legend in Figure 2.
Dataset for: Understanding the biogeographic patterns of closely-related species of Paspalum (Poaceae) using distribution modelling and seed germination traits
<p>This dataset supports the reported results of the namesake article submitted to Plants (MDPI). It contains the results from both germination experiments assayed and the data used for ANOVA, PCA and PLSR analyses. Also, it includes the data used to optimize favourability functions to build SDMs and the coordinates of each specimen considered in this research.</p>
Soil microbial community in 47 Chinese forest sites: biogeographic patterns and links with soil dissolved organic matter
<p>Physical and chemical properties of soil samples in this Manuscript.</p>
Data from: Life history determines biogeographical patterns of soil bacterial communities over multiple spatial scales
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Data from: Machine learning biogeographic processes from biotic patterns: a new trait-dependent dispersal and diversification model with model choice by simulation-trained discriminant analysis
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Data from: Phylogenetic and biogeographical relationships of the Sander pikeperches (Percidae: Perciformes): patterns across North America and Eurasia
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Data from: Patterns and processes in complex landscapes: testing alternative biogeographic hypotheses through integrated analysis of phylogeography and community ecology in Hawai'i
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Figure 1 from: Sroka P, Godunko RJ, Rutschmann S, Angeli KB, Salles FF, Gattolliat J-L (2019) A new species of Bungona in Turkey (Ephemeroptera, Baetidae): an unexpected biogeographic pattern within a pantropical complex of mayflies. Zoosystematics and Evolution 95(1): 1-13. https://doi.org/10.3897/zse.95.29487
Figure 1 Bungona (Chopralla) pontica sp. n., habitus. A Dorsal. B Lateral.
Figure 2 from: Stocchino G, Sluys R, Deri P, Manconi R (2013) Integrative taxonomy of a new species of planarian from the Lake Ohrid basin, including an analysis of biogeographical patterns in freshwater triclads from the Ohrid region (Platyhelminthes, Tricladida, Dugesiidae). ZooKeys 313: 25-43. https://doi.org/10.3897/zookeys.313.5363
Figure 2 - Dugesia superioris. Habitus of a living fissiparous specimen.
Figure 5 from: Stocchino G, Sluys R, Deri P, Manconi R (2013) Integrative taxonomy of a new species of planarian from the Lake Ohrid basin, including an analysis of biogeographical patterns in freshwater triclads from the Ohrid region (Platyhelminthes, Tricladida, Dugesiidae). ZooKeys 313: 25-43. https://doi.org/10.3897/zookeys.313.5363
Figure 5 - Sagittal reconstruction of the copulatory apparatus of Dugesia specimen NMNH 55294.
Figure 2 from: Chiapella JO, Demaio PH (2015) Plant endemism in the Sierras of Córdoba and San Luis (Argentina): understanding links between phylogeny and regional biogeographical patterns. PhytoKeys 47: 59-96. https://doi.org/10.3897/phytokeys.47.8347
Figure 2 - Vegetation belts in Sierras CSL.
Figure 1 from: Chiapella JO, Demaio PH (2015) Plant endemism in the Sierras of Córdoba and San Luis (Argentina): understanding links between phylogeny and regional biogeographical patterns. PhytoKeys 47: 59-96. https://doi.org/10.3897/phytokeys.47.8347
Figure 1 - Map of the Sierras of Córdoba and San Luis (Sierras CSL).
Data from: Vertebrate time-tree elucidates the biogeographic pattern of a major biotic change around the K–T boundary in Madagascar
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Data from: Evolutionary history and biogeographical patterns of barnacles endemic to deep-sea hydrothermal vents
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Figure 63 in Macrocyprididae (Ostracoda) from the Southern Ocean: taxonomic revision, macroecological patterns, and biogeographical implications
Figure 63. External view of left valves of Macroscapha rehmi sp. nov., Macroscapha subhemispherica sp. nov., Macroscapha turbida (Müller, 1908), and Macroscapha spp. (from the Mh. turbida group). Macroscapha turbida (Müller, 1908): A, paralectotype adult male (SNB 0747, ZMB 13133); B, adult male (SNB 0343-DNA 80); C, adult male (SNB 0352); D, adult male (SNB 0355); E, adult female (SNB 0356) (ZMH K-41476). Macroscapha rehmi sp. nov.: G, holotype adult male (SNB 0744, ZMH K-41482); H, paratype adult male (SNB 0743); I, paratype adult male (SNB 0059) (ZMH K-40836). Macroscapha subhemispherica sp. nov.: J, paratype A (ZMH K-34830); K, L, paratype A (ZMH K-34835). Macroscapha spp.: F, M, adult female? (ZMH K-35502b). Scale bar = 500 Mm.
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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.