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193 results for “endemic hotspot”
FIGURE 3 in Molecular phylogeny reveals strong biogeographic signal and two new species in a Cape Biodiversity Hotspot endemic mini-radiation, the pygmy geckos (Gekkonidae: Goggia)
FIGURE 3. Bayesian phylogeny of Goggia, based on analysis of ND2, RAG1, and PDC nucleotide sequence data. Branch support values (Bayesian/ML) are listed for all interspecific and major intraspecific nodes. The most distant outgroup, Phyllodactylus xanti, is omitted for clarity.
FIGURE 1 in Molecular phylogeny reveals strong biogeographic signal and two new species in a Cape Biodiversity Hotspot endemic mini-radiation, the pygmy geckos (Gekkonidae: Goggia)
FIGURE 1. Goggia species in life, depicting pattern variation in small-bodied species. (A) Goggia lineata from Garies, Northern Cape, striped form. (B) Goggia lineata from Port Nolloth, Northern Cape, chevron form. (C) Goggia incognita sp. nov. from Jacobsbaai, Western Cape, striped form. (D) Goggia incognita sp. nov. from Doringbaai, Western Cape, chevron form. (E) Goggia hexapora from Farm Waterval, Western Cape. (F) Goggia matzikamaensis sp. nov. MCZ R-192186. Photo credits: (A) André Coetzer. (B) Luke Kemp. (C, D) Tony Gamble. (E, F) Matthew Heinicke.
FIGURE 4 in Molecular phylogeny reveals strong biogeographic signal and two new species in a Cape Biodiversity Hotspot endemic mini-radiation, the pygmy geckos (Gekkonidae: Goggia)
FIGURE 4. Holotype of Goggia incognita sp. nov., CAS 224022, (A) dorsal view, (B) ventral view, depicting coloration in preservative.
FIGURE 7 in Molecular phylogeny reveals strong biogeographic signal and two new species in a Cape Biodiversity Hotspot endemic mini-radiation, the pygmy geckos (Gekkonidae: Goggia)
FIGURE 7. Head scalation in Goggia matzikamaensis sp. nov., MCZ R-192186 (A) and SAM 47802 (B) vs. Goggia rupicola, MCZ R46168 (C) and CAS 192442 (D). Note smaller, non-hexagonal scales above orbits in G. matzikamaensis sp. nov.
FIGURE 2 in Molecular phylogeny reveals strong biogeographic signal and two new species in a Cape Biodiversity Hotspot endemic mini-radiation, the pygmy geckos (Gekkonidae: Goggia)
FIGURE 2. Geographic ranges of Goggia species and sampling localities of specimens included in the study. Countries are labeled in large white text, provinces of South Africa in small white text, and key geographic regions in small black italic text. Colored shaded regions depict overall ranges of species with localities inside these regions; note that shade colors are used twice as follows: red—braacki (east), gemmula (west); yellow—essexi (east), lineata (west); green—hewitti (east), matzikamaensis sp. nov. (west); blue—hexapora, microlepidota (fully overlapping); violet—incognita (south), rupicola (north).
FIGURE 6 in Vertebrate endemism in south-eastern Africa numerically redefines a biodiversity hotspot
FIGURE 6. Areas and centres of endemism within the south-east Africa dominion (a) areas of endemism as identified from the Parsimony Analysis of Endemicity as identified and coded in Fig 4d; A—Albany-Knysna, B—Maputaland-Natal-Pondoland, C—Eastern Escarpment, (b) broad centres of endemism as identified and coded in the cluster dendrogram in Fig. 4a; a— Maputaland, b—Knysna, c—Drakensberg, d—Albany, e—Natal-Pondoland, f—Mpumalanga Escarpment, and (c) narrow centres of endemism identified and numbered in the cluster dendrogram in Fig. 4a; 1—Drakensberg-KwaZulu-Natal Escarpment, 2—Albany Coastal Belt, 3—Amatola-Winterberg, 4—Natal Midlands, 5—Natal Coastal Belt-Ngoye, 6— Transkei Coastal Belt, 7—Waterberg, 8—Northern Middleveld, 9—Soutpansberg, 10—Wolkberg. The number of endemics restricted to each area/centre of endemism is given in brackets, illustrated by a graduated grey scale and listed in Table 1.
FIGURE 5 in Vertebrate endemism in south-eastern Africa numerically redefines a biodiversity hotspot
FIGURE 5. Patterns of vertebrate endemism within the south-east Africa dominion defined by the dendrogram in Fig. 4a, comprising 28 operational graphical units (acronyms in pane (b) and labelled in Fig. 1. (a) south-east Africa dominion endemic species richness (south-east African endemism sensu stricto); (b) range-restricted species richness (narrow endemism); (c) weighted endemism (normalised); (d) weighted endemism per unit area (normalised). Each endemism measure is illustrated by a graduated grey scale of five classes, determined by natural breaks calculated using Jenk's optimisation.
FIGURE 4 in Vertebrate endemism in south-eastern Africa numerically redefines a biodiversity hotspot
FIGURE 4. Proposed zoogeographical regionalisation based on all vertebrate species endemic to south-eastern Africa sensu lato (a) The Phenetic Cluster Analysis (PCA) dendrogram of hierarchical relationships between operational geographic units (OGUs), using Jaccard's dissimilarity index and the UPGMA algorithm. (b) The resulting regionalisation; dominions, provinces and subprovinces are listed with codes in the table c, while all entities labeled on the map are districts, except for Maputaland subprovince (no districts within). (c) the Hierarchy of proposed zoogeographical entities. All "biogeographical taxa" were detected based on phenon lines at arbitrary levels of dissimilarity, in a way to generate maximally contiguous geographical clusters, except in the identification of the Karoo dominion (dash line), where a subjective decision was made considering the separation between relatively mesic and arid areas in almost all published zoogeographical regionalisations. The centres of endemism (BCOEs = broad and NCOEs = narrow) for south-east Africa dominion are also defined (see text for their interpretation). (d) The strict concensus area cladogram of OGUs from Parsimony Analysis of Endemicity (PAE), highlighting similarities to the PCA in the recovery of the South-east Africa dominion and the Greater Maputaland-Pondoland- Albany province (two OGUs shown in red dashed circles detected in the PAE as outliers are slightly enlarging the province compared to the PCA).
FIGURE 3 in Vertebrate endemism in south-eastern Africa numerically redefines a biodiversity hotspot
FIGURE 3. (a) Numerical refinement of the Greater Maputaland-Pondoland-Albany (GMPA) region, based on the cross-taxon consensus on a region maximally congruent to its qualitative delimitation proposed by Perera et al. (2011) recovered from phenetic relationships of OGUs for each taxonomic group, with further consensus from both Phenetic Cluster Analysis and Parsimony Analysis of Endemicity for all taxa combined. See text for calculation of the percentage consensus. C = core of the numerically refined GMPA region; E = an extension to the numerically refined GMPA region; *according to consensus, the Knysna OGU can be regarded as a part of the core region of GMPA, but treated as an extension due to the transitional nature of its biota between the GMPA and the Cape Floristic Region biodiversity hotspot (see text for details); (b) The core region (thick boundary) and extensions (dashed boundary) of the numerically refined GMPA region of vertebrate endemism in relation to the proposed qualitative delimitation of the same, and the Maputaland-Pondoland-Albany biodiversity hotspot; (c) Congruence of the numerically refined boundary of the GMPA to its qualitative delimitation, from Phenetic Cluster Analyses for individual vertebrate groups, for macro-ecologically releted groups (see text for details), and for all vertebrates combined, as well as for Parsimony Analysis of Endemicity for all vertebrates combined.
FIGURE 2 in Vertebrate endemism in south-eastern Africa numerically redefines a biodiversity hotspot
FIGURE 2. Contiguous geographical clusters maximally congruent to the qualitative delimitation of the Greater Maputaland- Pondoland-Albany (GMPA) region of vertebrate endemism proposed by Perera et al. (2011) (indicated in light green), recovered from phenetic cluster analysis for (a) all vertebrates (n = 300) (b) terrestrial vertebrates (n = 270), (c) non-volant vertebrates (n = 250), (d) herpetofauna (n = 189), (e) freshwater fish (n = 31), (f) birds (n = 51), (g) amphibians (n = 40), (h) reptiles (n = 149), (i) mammals (n = 29), and (j) from parsimony analysis of endemicity for all vertebrates (n = 300). Different colours denote congruent geographical clusters in dendrograms and relevant maps for different analyses.
FIGURE 1 in Vertebrate endemism in south-eastern Africa numerically redefines a biodiversity hotspot
FIGURE 1. The study area delimited by 22˚S and 24˚E (dashed lines) and the operational geographic units (OGUs) redrawn from Perera et al. (2011) to fit quarter-degree square borders. Distribution ranges of vertebrate species endemic to south-eastern Africa sensu lato included in the study do not extend beyond the dotted line. Dark grey: the Maputaland-Pondoland-Albany biodiversity hotspot (Mittermeier et al., 2004); light grey: areas added to the above in the proposed qualitative delimitation of the Greater Maputaland-Pondoland-Albany region of vertebrate endemism (Perera et al., 2011); blue line: the Limpopo River; brown line: the southern Great Escarpment, indicating the Nelspoort interval; green lines: country boundaries of South Africa (SA), Lesotho (L) and Swaziland (S). OGUs: ACB—Albany Coastal Belt, AKR—Intrusion of Lower Karoo into Albany, AWB—Amatola-Winterberg, CBV—Central Bushveld, DBP—Drakensberg Plateau, DEE—Drakensberg-Eastern-Cape Escarpment, DKE—Drakensberg-KwaZulu-Natal Escarpment, HUK—Highveld-Upper Karoo, INH—Inhambane, KBV— Kalahari Bushveld, KNY—Knysna, MLV—Mozambique Lowveld, NBV—Northern Bushveld, NCB—Natal Coastal Belt, NDH—Northern Dry Highveld, NGO—Ngoye, NMD—Natal Midlands, NME—Northern Mpumalanga Escarpment, NMH— Northern Mesic Highveld, NMO—Northern Mopane, NMP—Northern Maputaland, NMV—Northern Middleveld, NNT— Northern Natal, PND—Pondoland, SDH—Southern Dry Highveld, SME—Southern Mpumalanga Escarpment, SMH— Southern Mesic Highveld, SMO—Southern Mopane, SMP—Southern Maputaland, SMV—Southern Middleveld, SNB— Sneeuberg, SPB—Soutpansberg, STR—Southern Transkei Coastal Belt, TMD—Transkei Midlands, UKR—Upper Karoo, WLB—Wolkberg, WTB—Waterberg. See text for further details.
FIGURE 1 in Discovery of substantial Oxalis (Oxalidaceae) diversity and endemism in an arid biodiversity hotspot
FIGURE 1. Map of localities for new Richtersveld Oxalis taxa. The thick black line indicates both the Orange River and the border between South Africa and Namibia. The thin black line is the coastline. Darker shading indicates higher elevation. Contour intervals are 150 m.
FIGURE 3 in Discovery of substantial Oxalis (Oxalidaceae) diversity and endemism in an arid biodiversity hotspot
FIGURE 3. New species photos. Numbers correspond to those in the text. B1) Oxalis rosettifolia. B2) Oxalis nivea. B3) Oxalis sp. nov. 1. B4) Oxalis rubricallosa. B5) Oxalis petricola. B6) Oxalis sp. nov. 2. B7) Oxalis sp. nov. 3 'canaliculata'. B8) Oxalis sp. nov. 4. B9) Oxalis sp. nov. 5 'magnifolia'. B10) Oxalis sp. nov. 6.
FIGURE 2 in Discovery of substantial Oxalis (Oxalidaceae) diversity and endemism in an arid biodiversity hotspot
FIGURE 2. ITS-based phylogenies of selected Richtersveld Oxalis taxa. Values at nodes are Bayesian posterior probabilities; Richtersveld collections are bolded; new and recently described species are underlined; scale bars are in expected substitutions per site. (A) the O. pescaprae clade sensu Oberlander et al. (2011), indicated by an asterisk. (B) part of the O. flava clade sensu Oberlander et al. (2011).
Data from: Ecological niche modelling for conservation planning of an endemic snail in the verge of becoming a pest in cardamom plantations in the Western Ghats biodiversity hotspot
Open the record for dataset details and reuse information.
Data from: Marine biodiversity in Juan Fernández and Desventuradas Islands, Chile: global endemism hotspots
Open the record for dataset details and reuse information.
FIGURE 2 in A distinctive new species of moss salamander (Caudata: Plethodontidae: Nototriton) from an imperiled Honduran endemism hotspot
FIGURE 2. Dorsal and ventral aspects of the holotype of Nototriton tomamorum sp. nov.
Supplementary material 2 from: Martino G, Chiocchio A, Siclari A, Canestrelli D (2022) Distribution and conservation status of threatened endemic amphibians within the Aspromonte mountain region, a hotspot of Mediterranean biodiversity. Nature Conservation 50: 1-22. https://doi.org/10.3897/natureconservation.50.86002
Tables S1–S10
Supplementary material 1 from: Martino G, Chiocchio A, Siclari A, Canestrelli D (2022) Distribution and conservation status of threatened endemic amphibians within the Aspromonte mountain region, a hotspot of Mediterranean biodiversity. Nature Conservation 50: 1-22. https://doi.org/10.3897/natureconservation.50.86002
Table S1
FIGURE 79 in A hotspot of endemism: Oreophytic Taraxacum species (Compositae, Crepidinae) in the mountains of Bulgaria
FIGURE 79. Taraxacum incantatum (PRA, no. det. 35754, holotype). Photo M. Hladík.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.