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Fig. 6 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil

Fig. 6. Least-square means and 95% confidence intervals from ANCOVA of the first three environmental factors from PCA. Different markers represent significantly different means as detected by planned contrasts with 5% significance level, first comparing lakes with any non-native species with those without them, and then comparing the two categories of lakes with non-natives (non-piscivores vs. piscivores).

Fig. 4 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil

Fig. 4. Scatterplot of species body size (mean standard length) vs. a relative index of native affinity to lakes containing piscivorous invaders (the proportion of biomass of a given native species in lakes with piscivorous invaders). The estimated regression line is also presented (Y = 0.044*X - 0.279; R2 = 0.443; p = 0.007). Species codes: ast = Astyanax sp.; aus = Australoheros facetus; cyp = Cyphocharax gilbert; cre = Crenicichla lacustris; geo = Geophagus brasiliensis; gym = Gymnotus gr. carapo; hop = Hoplias malabaricus; lep = Leporinus steindachneri; lor = Loricariidae (unidentified species); lyc = Lycengraulis sp.; moe = Moenkhausia doceana; oli = Oligosarcus solitarius; pac = Pachyurus adspersus; pro = Prochilodus vimboides; tra = Trachelyopterus striatulus.

Fig. 5 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil

Fig. 5. Least-square means and 95% confidence intervals from ANCOVA of mean individual size and temporal turnover as related to the three lake categories. Different markers represent significantly different means as detected by planned contrasts with 5% significance level, first comparing lakes with any non-native species with those without them, and then comparing the two categories of lakes with non-natives (non-piscivores vs. piscivores).

Fig. 2 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil

Fig. 2. Alpha (mean) and beta richness. a) Comparison among the temporal and spatial components of richness. b) Species richness for each lake. The alpha (mean) and beta richness were taken along the temporal component. Lake codes: No = Nova; Ca = Capim; Fe = Ferrugem; Cr = Crentes; Po = Poço Redondo; Ro = Romoalda; Ti = Timburé; Ag = Águas Claras; Pa = Palmeirinha; Ar = Ariranha. "Natives" represents lakes without non-native species; "Non-piscivores" represents lakes with non-piscivorous non-native species; "Piscivores" represents lakes with invasive piscivorous species.

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Fig. 4 in Spatial and temporal distribution patterns of ichthyoplankton in a region affected by water regulation by dams

Fig. 4. Average abundance of fish eggs (a) and larvae (b) in the Ilha Grande National Park, from October 2001 to March 2005.

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Fig. 2 in Spatial and temporal distribution patterns of ichthyoplankton in a region affected by water regulation by dams

Fig. 2. Average egg abundances (rectangles) and standard errors (bars) by period (a), month (b) and sampling area (c) in the Ilha Grande National Park, from October 2001 to March 2005.

Fig. 8 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 8. Mean fish larvae density as a function of Rotifera and Copepoda density in marginal lagoons along the Cuiabá River between December 2006 and April 2007.

Fig. 6 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 6. Correlation of the mean density of fish larvae with: (a) Mean depth of the lagoons during the sampled periods; (b) Fluviometric level of the Cuiabá River during those periods; (c) Mean zooplankton density during those periods; and (d) Mean water transparency of the lagoons during the sampling periods.

Fig. 3 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 3. Spatial distribution of fish larvae in marginal lagoons along the Cuiabá River in December 2006 as a function of: (a) Sampling point (1 = entrance, 2 = middle, 3 = end of lagoon, 1.1 = entrance of channel and 1.2 = end of channel, only in lagoons that present this characteristic); (b) Frequency of occurrence of the four taxa with the highest densities; and (c) Developmental stages.

Fig. 1 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 1. Location of sampling sites in the floodplain of Cuiabá River, Pantanal, Mato Grosso State, Brazil.

Fig. 2 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 2. Spatial distribution of fish larvae in marginal lagoons along the Cuiabá River in December 2006.

Fig. 4 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 4. Temporal distribution of fish larvae in marginal lagoons along the Cuiabá River between December 2006 and April 2007.

Fig. 7 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 7. Correlation of the mean larval density and precipitation in marginal lagoons along the Cuiabá River between December 2006 and April 2007.

Fig. 5 in Environmental influences on the spatial and temporal distribution of the puffer fish Sphoeroides greeleyi and Sphoeroides testudineus in a Brazilian subtropical estuary

Fig. 5. Monthly distribution of juvenile and adult individuals of S. greeleyi (a) and S. testudineus (b) on the north-south axis of the estuarine complex of Paranaguá, Paraná State. The numbers indicated above the bars refer to absolute frequency.

Fig. 7 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil

Fig. 7. Cluster dendrogram based on similarities of the samples collected in Ibiraquera Lagoon from December 2003 to December 2004. Samples were clustered by Bray Curtis similarity based on log (x+1) transformed abundances of 12 families.

Fig. 6 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil

Fig. 6. Two-way ANOVA interaction results for log-abundance of (a) engraulid and (b) mugilid larvae.

Fig. 5 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil

Fig. 5. Larvae fish families' composition in Ibiraquera Lagoon over 13 months, from December 2003 to December 2004.

Fig. 4 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil

Fig. 4. Fish larvae (a) dominance and (b) frequency of occurrence in Ibiraquera Lagoon, from December 2003 to December

Fig. 2 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil

Fig. 2. Hydrographic conditions in Ibiraquera Lagoon from December 2003 to December 2004. (a) Water temperature (°C), (b) mean salinity variation, (c) total monthly rainfall (mm).

Fig. 1 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil

Fig. 1. The location of Ibiraquera Lagoon on the southern Brazilian coast with its four stations in detail (Saco, Baixo, Meio and Cima).