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Fig. 4 in Distributions and phylogeographic data of rheophilic freshwater fishes provide evidences on the geographic extension of a central-brazilian amazonian palaeoplateau in the area of the present day Pantanal Wetland
Fig. 4. Haplotype network showing the occurrence of three groups (upper rio Xingu, upper rio Paraguay and upper rio Tapajós). Traces show the number of mutational steps from two adjacent haplotypes. Circle diameters are proportional to the number of individuals, which each haplotype and the colors represent the locality were those haplotypes were found. Upper rio Xingu= Pink (1: dark pink); upper rio Paraguay = Blue (2: light blue; 3: navy blue; 4: dark blue; 5: light pink; 6: orange; 7: light purple; 8: dark purple; 9: white; 10: yellow; 11: light green; 12: dark green); and upper rio Tapajós= Gray (13: light gray and 14: dark gray).
Fig. 3 in Distributions and phylogeographic data of rheophilic freshwater fishes provide evidences on the geographic extension of a central-brazilian amazonian palaeoplateau in the area of the present day Pantanal Wetland
Fig. 3. Phylogenetic tree showing relationships among major lineages of Jupiaba acanthogaster from the upper rio Paraguay, upper rio Tapajós and upper rio Xingu, obtained by a maximum likelihood partitioned analysis. Numbers at each of the main nodes represents percentage of bootstrap support obtained by maximum parsimony analysis (1000 bootstrap pseudoreplicates).
Fig. 2 in Distributions and phylogeographic data of rheophilic freshwater fishes provide evidences on the geographic extension of a central-brazilian amazonian palaeoplateau in the area of the present day Pantanal Wetland
Fig. 2. Distribution of sampled localities for Jupiaba acanthogaster in the upper rio Paraguay, rio Tapajós and rio Xingú basins. The drainages of the rio Tocantins, rio Araguaia and upper rio Paraná are also illustrated. Drainage boundaries delimited by a continuous black line.
Fig. 1 in Distributions and phylogeographic data of rheophilic freshwater fishes provide evidences on the geographic extension of a central-brazilian amazonian palaeoplateau in the area of the present day Pantanal Wetland
Fig. 1. Map of the upper rio Paraguay basin and adjoining areas showing the distribution of Leporinus octomatulatus, Jubiaba acanthogaster, Oligosarcus perdido, Moenkhausia cosmops, and Hypostomus cochliodon, exemplifying distributional pattern discussed in this paper.
Fig. 2. Area diagram depicting relationships among the 24 in Biogeography of freshwater fishes from the Northeastern Mata Atlântica freshwater ecoregion: distribution, endemism, and area relationships
Fig. 2. Area diagram depicting relationships among the 24 coastal drainages analyzed, obtained by parsimony analysis of endemicity based on freshwater fishes. The topology represents the strict consensus of five equally parsimonious trees obtained through a heuristic search (length= 71 steps, CI = 0.521, RI = 0.709).
Fig. 1 in Biogeography of freshwater fishes from the Northeastern Mata Atlântica freshwater ecoregion: distribution, endemism, and area relationships
Fig. 1. Map showing the Northeastern Mata Atlântica ecoregion, the rivers included in the PAE, and the groups recovered from the analysis. Adjacent freshwater ecoregions are: (327) São Francisco, (329) Paraíba do Sul, and (344) Upper Paraná.
Figure 4 in Impact of alien fishes on the distribution pattern of indigenous freshwater fishes of Punjab, Pakistan
Figure 4. Analysis of aliens' fish species impact on the diversity of native fish species through PCA.
Figure 1 in Impact of alien fishes on the distribution pattern of indigenous freshwater fishes of Punjab, Pakistan
Figure 1. Map of sampling sites along with four sampling sites i.e. Head Qadirabad (HQ), Head Baloki (HB), Islam Headworks (IH) and Rasul Barrage (RB).
Fig. 3 in Alien freshwater fish parasites from South Africa: Diversity, distribution, status and the way forward
Fig. 3. Maps indicating the South African distribution records for (A) Atractolytocestus huronensis Anthony, 1958; (B) Acolpenteron ureteroecetes Fischthal and Allison, 1940; (C) Dactylogyrus extensus Mueller and Van Cleave, 1932, Dactylogyrus minutus Kulwiec, 1927 and Dactylogyrus lamellatus Achmerow, 1952; (D) Gyrodactylus kherulensis Ergens, 1974.
Fig. 1 in Alien freshwater fish parasites from South Africa: Diversity, distribution, status and the way forward
Fig. 1. Maps indicating the South African distribution records for (A) Ichthyophthirius multifiliis Fouquet, 1876; (B) Apiosoma piscicola (Blanchard, 1885); (C) Chilodonella hexasticha (Kiernik, 1909) and Chilodonella piscicola (Zacharias, 1894); (D) Schyzocotyle (Bothriocephalus) acheilognathi (Yamaguti, 1934).
Fig. 2 in Alien freshwater fish parasites from South Africa: Diversity, distribution, status and the way forward
Fig. 2. Maps indicating the South African distribution records for (A) Lernaea cyprinacea Linnaeus, 1758; (B) Argulus japonicus Thiele, 1900; (C) Ichthyobodo necator Henneguy, 1883 (needs molecular confirmation); (D) Trichodina acuta Lom, 1961, Trichodina mutabilis Kazubski and Migala, 1968, Trichodina reticulata Hirschmann and Partsch, 1955, and Trichodina uniforma Van As and Basson, 1989.
Fig. 5 in Freshwater parameters in the state of Rio Grande do Sul, southern Brazil, and their influence on fish distribution and aquaculture
Fig. 5. Mean waterborne (A) iron and (B) manganese in various cities of Rio Grande do Sul in the period of 1996 to 2011 (Source CORSAN/RS).
Fig. 3 in Freshwater parameters in the state of Rio Grande do Sul, southern Brazil, and their influence on fish distribution and aquaculture
Fig. 3. Water alkalinity in different cities of Rio Grande do Sul in the period of 1996 to 2011 (A) mean, (B) minimum and (C) maximum values (Source CORSAN/RS).
Fig. 1 in Freshwater parameters in the state of Rio Grande do Sul, southern Brazil, and their influence on fish distribution and aquaculture
Fig. 1. Water pH in different cities of Rio Grande do Sul in the period of 1996 to 2011 (A) mean, (B) minimum and (C) maximum values (Source CORSAN/RS).
FIGURE 5 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 5 | Collection points for 442 threatened Neotropical freshwater fishes (NFF) colored by elevation and sized by species' description year. Threatened NFF species are often those described decades ago, with range-restricted distributions in the upland rivers of the Brazilian Shield and the Colombian Andes, and coastal Atlantic and Caribbean drainages. CR: Critically Endangered; EN: Endangered; VU: Vulnerable; DD: Data Deficient (gray). Data for 4,412 localities with geographic coordinates.
FIGURE 6 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 6 | Collection points for 671 potentially threatened Neotropical Freshwater Fishes (NFF). Potentially threatened NFF species predicted by the ConR package using EOO estimates are usually distributed outside protected areas (e.g., national parks, indigenous lands: green) and more often located in the upland rivers of the northern, central and southern Andes, and Eastern Guiana Shield. CR: Critically Endangered; EN: Endangered; VU: Vulnerable; LC or NT: Least Concern or Near Threatened; DD: Data Deficient. Data for 4,412 localities with geographic coordinates. Protected areas (green) from: https://www.protectedplanet.net.
FIGURE 2 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 2 | Extinction risks in 3,001 Neotropical freshwater fishes (NFF). On average, 14% (422 of 3,001) NFF species are classified by the IUCN Red List (RL) as Vulnerable (VU), Endangered (EN) or Critically Endangered (CR). Extinction risks are relatively similar among the orders Characiformes (8.2%), Siluriformes (10.8%), Cichliformes (10.0%), and Gymnotiformes (14.9%). An exception is the clade Cyprinodontiformes, where about 48% of species are classified as either VU, EN, or CR. LC or NT: Least Concern or Near Threatened; DD: Data Deficient.
FIGURE 4 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 4 | Collection points for 442 threatened Neotropical freshwater fishes (NFF). Threatened NFF species classified by the IUCN Red List (RL) are often distributed in the upland rivers of the Brazilian Shield and the Colombian Andes, and coastal Atlantic and Caribbean drainages. CR: Critically Endangered; EN: Endangered; VU: Vulnerable; DD: Data Deficient. Data for 4,412 localities with geographic coordinates.
FIGURE 3 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 3 | Association among three variables and extinction risks in 3,001 Neotropical freshwater fishes (NFF). A. IUCN-Red List (RL) threat categories by species description dates. B. Species description dates by taxonomic orders. C. IUCN-RL categories by geographic ranges. D. Geographic ranges by taxonomic orders. E. IUCN-RL categories by elevation ranges. F. Elevational ranges by taxonomic orders. Threatened status are usually higher for recently described NFF species, those inhabiting narrow geographic ranges, and those confined to upland river drainages. CR: Critically Endangered; EN: Endangered; VU: Vulnerable; DD: Data Deficient.
FIGURE 1 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 1 | Sample of the phenotypic diversity of Neotropical freshwater fishes. Upper left to lower right: Lycengraulis grossidens (Spix & Agassiz, 1829); Hyphessobrycon hexastichos Bertaco & Carvalho, 2005; Geophagus neambi Lucinda, Lucena & Assis, 2010; Crenicichla lepidota Heckel, 1840; Trachelyopterus galeatus (Linnaeus, 1766); Anablepsoides xinguensis (Costa, 2010); Abramites hypselonotus (Günther 1868); Pituna xinguensis Costa & Nielsen, 2007; Gymnotus cuia Craig, Malabarba, Crampton & Albert, 2018; Apteronotus caudimaculosus de Santana, 2003; Colomesus tocantinensis Amaral, Brito, Silva & Carvalho, 2013; Corydoras britskii (Nijssen & Isbrücker, 1983). Species not shown in scale.
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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
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OpenNeuro
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