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Fig. 3 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 3. Frequencies of habitat availability by classes of depth (m), mean velocity (m/s) and type of substrate (1- large boulder; 2- boulder; 3- cobble; 4- gravel; 5- fine gravel; 6- sand and 7- vegetation), obtained by direct survey in the riacho São Pedro.
Fig. 1 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 1. Map of the rio Guandu basin, with indication of the studied reach in riacho São Pedro. Solid dash = small substation of CEDAE (Water and Sewer Treatment Works of Rio de Janeiro State). WTP: Water Treatment Plant.
Fig. 2 in Fish complementarity is associated to forests in Amazonian streams
Fig. 2. Biplot resulting from the distance based Redundancy Analysis with seven variables (landscape and local). The proportion of forest cover in the watershed, the proportion of grasses in the stream banks, and depth significantly explained the NTI (nearest taxon index) in the studied communities and therefore are represented here. Each community is identified by circles with different sizes according to the NTI values.
Fig. 2 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 2. Isometric view of the cross-sections in the two target reaches of the riacho São Pedro. Grey color indicates water; solid line indicates the contour of the cross-section (in wet areas and banks).
Figure 6 in Far from urban areas: plastic uptake in fish populations of subtropical headwater streams
Figure 6. Median plastic particle distribution in fishes per sample site (whiskers = min - max values, dots = outliers, stars = extreme outliers, horizontal line = median, box = 50% tile).
Figure 3 in Far from urban areas: plastic uptake in fish populations of subtropical headwater streams
Figure 3. Plastic particles abundances in benthic and water column feeders (whiskers = min - max values, dots outliers, stars extreme outliers, horizontal line median, box 50% tile).
Figure 1. Study area. A. South America and Brazil. B in Far from urban areas: plastic uptake in fish populations of subtropical headwater streams
Figure 1. Study area. A. South America and Brazil. B. Brazil and the state of Rio Grande do Sul. C. Rio Grande do Sul and the Sinos River Basin. D. The numbers from 1 to 7 in the white dots show the sampling sites in the upper section of the Sinos River basin. The colour gradient represents the terrain elevation (light green elevations of 30m altitude and dark brown elevations of 980m). The red polygons are the urban areas.
Figure 5 in Far from urban areas: plastic uptake in fish populations of subtropical headwater streams
Figure 5. Total abundances of food items per category in comparison with ingested plastic particles abundances. (Pla=Pastics, Dip=Diptera, Hem=Hemiptera, Tri=Tricoptera, Lep=Lepidoptera, Eph=Ephemeroptera, Ple=Plecoptera, Col=Coleoptera, Gas=Gastropoda, Odo=Odonata, Veg= Plant).
Fig. 4 in Environmental assessment in tropical streams by using abundance-biomass curves and W index in fish assemblages
Fig. 4. Spearman correlation (ρ = -0.68; p = 0.02) between W and PCoA1, Pirapó River basin, Maringá City, Paraná state, Brazil (White squares, urban streams; black Diamond, rural streams)(1, RibeirÃo Maringá; 2, Miosótis; 3, Mandacaru; 4, Roseira; 5, Granada; 6, Lombo; 7, ZaÚna; 8, Remo; 9, Romeira; 10, Água QueÇaba).
Fig. 2 in Environmental assessment in tropical streams by using abundance-biomass curves and W index in fish assemblages
Fig. 2. Ordination of two aXes generated by the principal coordinates analysis (PCoA) applied to the environmental data of Urban (white squares) and Rural streams (black diamond) of Maringá, Paraná, Brazil (1, RibeirÃo Maringá; 2, Miosótis; 3, Mandacaru; 4, Roseira; 5, Granada; 6, Lombo; 7, ZaÚna; 8, Remo; 9, Romeira; 10, Água QueÇaba).
Fig. 3 in Environmental assessment in tropical streams by using abundance-biomass curves and W index in fish assemblages
Fig. 3. Accumulation curves of abundance (white circles) and biomass (black circles) to show the ABC method and values of W indeX for fish assemblages sampled in the streams of Maringá, Paraná, Brazil. Negative values of W suggest environmentally stressed (following WARWICK & CLARKE, 1994) ecosystems, and positive values indicate not stressed environments.
Fig. 1 in Environmental assessment in tropical streams by using abundance-biomass curves and W index in fish assemblages
Fig. 1. Streams sampled in Maringá (PR), South Brazil: 1, RibeirÃo Maringá (51°58'8.00"W/ 23°22'28.09"S); 2, Miosótis (51°55'52.29"W/23°20'39.82"S); 3, Mandacaru (51°56'49.16"W/ 23°23'5.01"S); 4, Roseira (51°54'50.45"W/ 23°21'2.26"S); 5, Granada (51°45'39.95"W/ 23°18'5.26"S); 6, Lombo (51°58'7.07"W/ 23°18'49.53"S); 7, ZaÚna (51°50'55.11"W/ 23°23'41.99"S); 8, Remo (52°1'0.75"W/ 23°21'27.09"S); 9, Romeira (51°58'9.55"W/ 23°21'40.40"S); 10, Água QueÇaba (51°53'28.78"W/ 23°19'22.24"S). White circles represent rural streams; black circles represent urban streams; gray area is the urban perimeter; and dark gray are forest fragments.
Fig. 2 in Use of functional traits to assess changes in stream fish assemblages across a habitat gradient
Fig. 2. Average position of species occurrence along the gradient of habitat structure (dark circles). The horizontal bars indicate the standard deviation of the mean position of each species, and the vertical bars at the bottom of the graph represent the position of each stream along the habitat gradient (axis 1 of RLQ). Species codes are presented in Table 2.
Fig. 1 in Use of functional traits to assess changes in stream fish assemblages across a habitat gradient
Fig. 1. Location of the study area in the northwestern region of São Paulo State, Brazil (black area on the country map), showing the 91 streams sampled.
Fig. 3 in Use of functional traits to assess changes in stream fish assemblages across a habitat gradient
Fig. 3. Pearson correlation between the stream scores of the first RLQ axis and the original values of the environmental variables. All correlations were significant (Pearson correlation, P <0.05), except for the proportion of bedrock in the substrate (triangle).
Fig. 4 in Use of functional traits to assess changes in stream fish assemblages across a habitat gradient
Fig. 4. Functional traits significantly correlated with the first RLQ axis (Pearson correlation, P <0.005). In each graph, the first RLQ axis represents streams with banks covered by grasses and sandy bottom (less complex) and streams with banks covered by trees/shrubs and bottom with rocks/woody debris (more complex).
FIGURE 3 in Taxonomic and phylogenetic beta diversity in headwater stream fish communities of the Paraná and Paraguai River basins
FIGURE 3 | Turnover and nestedness components of taxonomic and phylogenetic beta diversity in streams of the Paraná and Paraguai River basins. Clockwise from top left: total, turnover and nestedness components of taxonomic beta diversity; at the bottom, total, turnover and nestedness components of phylogenetic beta diversity. Filled circles correspond to Paraná streams and triangles to Paraguai streams.
FIGURE 2 in Taxonomic and phylogenetic beta diversity in headwater stream fish communities of the Paraná and Paraguai River basins
FIGURE 2 | Phylogenetic hypothesis for fish collected in headwater streams of the Paraná and Paraguai River basins.
FIGURE 1 in Taxonomic and phylogenetic beta diversity in headwater stream fish communities of the Paraná and Paraguai River basins
FIGURE 1 | Headwater streams sampled in the Paraná and Paraguai River basins. Blue circles represent streams of the Paraguai basin, and black triangles represent streams of the Paraná basin. The stars represent waterfalls. The color indicates the variation in altitude.
Fig. 3 in Influence of environmental variables on stream fish fauna at multiple spatial scales
Fig. 3. Venn diagrams representing the results of the variance partitioning with partial CCA (canonical correspondence analysis): percentage of variation in fish abundance (a) and incidence (b) explained by land use and land cover, site, and spatial variables, as well as that shared between the three sets of variables in the Upper Araguari River basin, Minas Gerais. See Table 4 for a list of all explanatory variables.
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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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