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Fig. 5 in Effects of urbanization on the diversity of testate amoebae (Protist, Rhizopoda) in a stream of the southwestern Amazon basin (Igarapé São Francisco in Acre state, Brazil)

Fig. 5. Variation in the mean species richness (A) and density (B) of testate amoebae recorded among the different sampling points on the São Francisco stream in Acre state, northern Brazil.

Fig. 4 in Effects of urbanization on the diversity of testate amoebae (Protist, Rhizopoda) in a stream of the southwestern Amazon basin (Igarapé São Francisco in Acre state, Brazil)

Fig. 4. The most abundant species of testate amoeba recorded in the present study: (A) Netzelia corona, (B) Arcella vulgaris, (C) Arcella brasiliensis, (D) Arcella discoide, (E) Centropyxis aculeata. Examples of the species of testate amoeba recorded in the state of Acre for the first time: (F) Difflugia distenda, (G) Difflugia sinuata, (H) Arcella gandalfi.

Fig. 2 in Effects of urbanization on the diversity of testate amoebae (Protist, Rhizopoda) in a stream of the southwestern Amazon basin (Igarapé São Francisco in Acre state, Brazil)

Fig. 2. Phytophysiognomy of sampling points in the São Francisco stream in the state of Acre, Brazil according to the degree of urbanization.

Fig. 1 in Effects of urbanization on the diversity of testate amoebae (Protist, Rhizopoda) in a stream of the southwestern Amazon basin (Igarapé São Francisco in Acre state, Brazil)

Fig. 1. Location of sampling points on the São Francisco stream in the municipalities of Rio Branco and Bujari, in Acre state, northern Brazil.

Fig. 6 in Effects of urbanization on the diversity of testate amoebae (Protist, Rhizopoda) in a stream of the southwestern Amazon basin (Igarapé São Francisco in Acre state, Brazil)

Fig. 6. Biplot of the first two axes of the Redundancy Analysis of the scores of the streams according to the abiotic variables (TC = Thermotolerant Coliforms; EC = Electrical Conductivity, DO = Oxygen; pH = Hydrogen potential; TotP = Total Phosphorus; Temp = Temperature; Turb = Turbidity; NH 4 = Ammonia; NO 2 = Nitrate), the legend explains the symbols corresponding to the family names.

Fig. 3 in Effects of urbanization on the diversity of testate amoebae (Protist, Rhizopoda) in a stream of the southwestern Amazon basin (Igarapé São Francisco in Acre state, Brazil)

Fig. 3. Plot of the results of the Principal Components Analysis (PCA) of the environmental variables of the São Francisco stream in Rio Branco e Bujari, Acre (Brazil): TC = Thermotolerant Coliforms; EC = Electrical Conductivity; pH = Hydrogen potential; DO = Oxygen; TotP = Total Phosphorus; Phos = Phosphate; Temp = Temperature; Transp = Transparency; Turb = Turbidity; FR = Flow Rate; Dep = Depth; NH 4 = Ammonia; NO 3 = Nitrite; NO 2 = Nitrate.

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).

opencc-by-4.0Dec 2019View details →

Fig. 1 in A report of 26 unrecorded bacterial species in Korea, isolated from urban streams of the Han River watershed in 2018

Fig. 1. Map of sampling stations. Open circles and arrows indicate the sampling stations where freshwater and sediment samples were collected in the Han River watershed.

opencc-by-4.0Dec 2019View details →

Fig. 2 in A report of 26 unrecorded bacterial species in Korea, isolated from urban streams of the Han River watershed in 2018

Fig. 2. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences showing the relationship between the strains isolated in this study and their closest bacterial species. Bootstrap values over 70% are shown at nodes for neighbor-joining, maximum parsimony, and maximum likelihood methods, respectively. Filled circles indicate that the corresponding node was also recovered in the trees reconstructed with both the maximum parsimony and maximum likelihood algorithms, while open circles indicate that the corresponding node was recovered in the tree generated with only one of these algorithms. Scale bar = 0.05 substitutions per nucleotide position.

opencc-by-4.0Jun 2019View details →

Coastal plain stream nutrient export across a gradient of urbanization

<p>This dataset contains nutrient concentration, nutrient export, and stream discharge data from five coastal plain streams in North Carolina, USA across a gradient of urbanization. See the spreadsheet "metadata.csv" for information about units and missing data. Methodology and site descriptions will be made available once the manuscript using these data is published (currently in review) or by request.</p>

Fig. 6 in Diversity and microhabitat use of benthic invertebrates in an urban forest stream (Southeastern Brazil)

Fig. 6. NMDS ordination (stress = 0.18) of each microhabitat type (litter, sand, and stone) sampled at the Tijuca River, located at the Tijuca Forest, Rio de Janeiro, Brazil.

Fig. 4. Rarefaction curves with extrapolations and 95 in Diversity and microhabitat use of benthic invertebrates in an urban forest stream (Southeastern Brazil)

Fig. 4. Rarefaction curves with extrapolations and 95% of confidence intervals for both the total sampling and each type of microhabitat of benthic invertebrates of Tijuca River, located at the Tijuca Forest, Rio de Janeiro, Brazil.

Fig. 5 in Diversity and microhabitat use of benthic invertebrates in an urban forest stream (Southeastern Brazil)

Fig. 5. Boxplot of the ecological descriptors calculated for each microhabitat type (litter, sand, and stone) with the one-way repeated measure ANOVA results and the Tukey pairwise post hoc test (letters). Different letters denote significant difference results (p <0.001).

Figs 1-3 in Diversity and microhabitat use of benthic invertebrates in an urban forest stream (Southeastern Brazil)

Figs 1-3. Sampled stretches of the Tijuca River, Tijuca Forest, Rio de Janeiro, Brazil: Figs 1, 2, first stretch located at 380 meters of altitude; and Fig. 3, second stretch located at 420 meters of altitude.

opencc-by-4.0Sep 2021View details →

FIGURE 3 in Functional responses of stream fish communities to rural and urban land uses

FIGURE 3 | Flowchart of analysis. Biomass and dummy traits matrices were combined to produce functional diversity (FD) indices (FRic = functional richness, FEve = functional evenness, FDiv = functional divergence and FDis = functional dispersion) and community weight mean traits (CWM) matrices. The influences of land use/occupation (Soil matrix) over FD indices were evaluated through Pearson's correlations and over CWM through redundance analysis (RDA) and Pearson's correlations.

opencc-by-4.0Sep 2021View details →

FIGURE 4 in Functional responses of stream fish communities to rural and urban land uses

FIGURE 4 | Ordination scores of community-weighted means (CWMs) of traits (gray bars) and proportions of land use/occupation (arrows: biplot scores for constraining variables along of the first principal axis of the redundancy analysis – RDA1) applied to 24 streams sampled in the state of Paraná, Brazil.