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Fig. 6 in Population density and habitat of an endangered cave fish Eigenmannia vicentespelaea Triques, 1996 (Ostariophysi: Gymnotiformes) from a karst area in central Brazil

Fig. 6. Population densities of Eigenmannia trilineata from rio da Lapa, São Domingos karst area, central Brazil, observed from dusk until night phase during two nights (April and August 2001). Asterisk indicates that no sample was recorded in this period at April 2001.

Fig. 4 in Population density and habitat of an endangered cave fish Eigenmannia vicentespelaea Triques, 1996 (Ostariophysi: Gymnotiformes) from a karst area in central Brazil

Fig. 4. Box-plots showing the means and standard deviations (Sd) of population densities data for Eigenmannia vicentespelaea along the years 1999, 2000 and 2001 (a) and between the dry seasons, independent of the years (b) BDS, beginning of dry season; MDS, middle of dry season; EDS, end of dry season.

Fig. 7 in Population density and habitat of an endangered cave fish Eigenmannia vicentespelaea Triques, 1996 (Ostariophysi: Gymnotiformes) from a karst area in central Brazil

Fig. 7. Box-plots showing means and standard deviations of pH (a) conductivity (b) and temperature (c) from the São Vicente II cave stream in the dry seasons of 1999, 2000 and 2001 (circle and asterisk represent outliers).

Fig. 7 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups

Fig. 7. (A) The relationship between total gill area (cm2) and Relative Opening of the spiracle. (B) Linear regression of the mass-specific gill area (cm2 g-1) and body surface area (cm2) of different potamotrygonid embryos: upsidedown triangle - Plesiotrygon iwamae; star - Paratrygon aiereba; diamond - Potamotrygon motoro (from Negro River); dot - Potamotrygon motoro (from Solimões River); triangle - Potamotrygon orbignyi; square - cururu ray Potamotrygon sp.

Fig. 6 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups

Fig. 6. The two main axes of a principal component analysis based on total gill area, mass-specific gill area, body mass, total length, Anatomical Diffusion Factor and Relative Opening of Spiracule (ROSp) in the different potamotrygonid embryos: black triangle - Plesiotrygon iwamae; open diamond - Paratrygon aiereba; circle - Potamotrygon motoro (from Negro River); open triangle - Potamotrygon motoro (from Solimões River); black square - Potamotrygon orbignyi; open square - Potamotrygon sp. (cururu ray).

Fig. 5 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups

Fig. 5. Triplot of log (Anatomic Diffusion Factor) versus log(water/blood barrier thickness) versus log(mass-specific gill area) of the potamotrygonid embryos.

Fig. 3 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups

Fig. 3. Mass-specific gill area of the anterior and posterior hemibranchs of the gill arches in different potamotrygonid embryos: (A) Potamotrygon orbignyi; (B) Potamotrygon sp.; (C) Potamotrygon motoro (from Negro River); (D) Potamotrygon motoro (from Solimões River); (E) Plesiotrygon iwamae; (F) Paratrygon aiereba.

Fig. 2 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups

Fig. 2. Total superficial gill area of the anterior and posterior hemibranchs of the gill arches in different potamotrygonid embryos: (A) Potamotrygon orbignyi; (B) Potamotrygon sp.; (C) Potamotrygon motoro (from Negro River); (D) Potamotrygon motoro (from Solimões River); (E) Plesiotrygon iwamae; (F) Paratrygon aiereba.

Fig. 1 in Gill dimensions in near-term embryos of Amazonian freshwater stingrays (Elasmobranchii: Potamotrygonidae) and their relationship to the lifestyle and habitat of neonatal pups

Fig. 1. The potamotrygonid embryos: (A) Potamotrygon orbignyi; (B) cururu ray Potamotrygon sp.; (C) Potamotrygon motoro (from Negro River); (D) Potamotrygon motoro (from Solimões River); (E) Plesiotrygon iwamae; (F) Paratrygon aiereba. Scale bars= 1 cm.

Fig. 3 in Population density and habitat of an endangered cave fish Eigenmannia vicentespelaea Triques, 1996 (Ostariophysi: Gymnotiformes) from a karst area in central Brazil

Fig. 3. Monthly rainfall recorded in the years of 1999, 2000 and 2001. Source: INMET, Posse municipality, Goiás State, central Brazil.

Fig. 5 in Population density and habitat of an endangered cave fish Eigenmannia vicentespelaea Triques, 1996 (Ostariophysi: Gymnotiformes) from a karst area in central Brazil

Fig. 5. Biplot resulting from Principal Component Analysis with seven variables. Dark circles represent sampling units.

Fig. 4 in Use of otolith strontium:calcium and zinc:calcium ratios as an indicator of the habitat of Percophis brasiliensis Quoy & Gaimard, 1825 in the southwestern Atlantic Ocean

Fig. 4. Discriminant analysis of the otolith Sr:Ca and Zn:Ca ratios for Percophis brasiliensis. Plot of the first two discriminant functions for each age group (a-d). An association was observed between data for ER and SMG, which were separated from data for AUCFZ. Triangles: ArgentineUruguayan Common Fishing Zone (AUCFZ), stars: San Matías Gulf (SMG) and black circles: El Rincón (ER).

Fig. 2 in Use of otolith strontium:calcium and zinc:calcium ratios as an indicator of the habitat of Percophis brasiliensis Quoy & Gaimard, 1825 in the southwestern Atlantic Ocean

Fig. 2. Variation of Sr:Ca (a) and Zn:Ca (b) ratios of Percophis brasiliensis separated by age for the three sampling sites. Different letters indicate statistical significant differences among age groups (years) for each sampling site (p<0.05).

Fig. 3 in Use of otolith strontium:calcium and zinc:calcium ratios as an indicator of the habitat of Percophis brasiliensis Quoy & Gaimard, 1825 in the southwestern Atlantic Ocean

Fig. 3. Relationship between otolith Sr:Ca and Zn:Ca ratios (mmol mol-1) for Percophis brasiliensis from three areas. Data for ER and SMG tended to cluster, while data for AUCFZ tended to disperse. Separation of data of AUCFZ and ER-SMG is observed. Triangles: Argentine-Uruguayan Common Fishing Zone (AUCFZ), stars: San Matías Gulf (SMG) and black circles: El Rincón (ER).

Fig. 5 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil

Fig. 5. Average habitat suitability index –HSI– in the upper and lower reach of the riacho São Pedro, for the three fish species.

Fig. 6 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil

Fig. 6. Weighted usable area (WUA) in the upper and lower reach of the riacho São Pedro, for the three fish species.

Fig. 4 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil

Fig. 4. Habitat suitability curves for depth (m), mean water column velocity (m/s) and type of substrate for the three fish species in the riacho São Pedro. Substrate types are; 1- large boulder, 2- boulder, 3- cobble, 4- gravel, 5- fine gravel, 6- sand and 7- vegetation.

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 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).