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Fig. 2 in Zooplankton associated with phytotelms and treefrogs in a neotropical forest

Fig. 2. Rarefaction curve considering zooplanktonic species frequency from both bromeliad tanks and frogs' skin in a Semideciduous Stationary Forest remnant, Pernambuco, Brazil.

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Fig. 1 in Zooplankton associated with phytotelms and treefrogs in a neotropical forest

Fig. 1. Location of the conservation unit in the municipality of São LourenÇo da Mata, eastern region of Pernambuco, Brazil. In green, the forest was a sample of the study.

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Fig. 4 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region

Fig. 4. Proportion of the resources used by the species in the three studied zones in Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil: 1, Lotic; 2, Transition; 3, Lentic.

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Figs 5-7 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region

Figs 5-7. Trophic interactions networks built with fish species (black) and resources consumed (gray): Fig. 5, Stretch 1 (lotic); Fig. 6, Stretch 2 (transition) and Fig. 7, Stretch 3 (lentic) in Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil.

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Fig. 1 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region

Fig. 1. Map of Jurumirim Reservoir (Upper Paranapanema River, state of São Paulo, Brazil) indicating the three samplings zones.

Fig. 6 in Ontogenetic variations and feeding habits of a Neotropical annual fish from southern Brazil

Fig. 6. Contribution of Mollusca, Annelida, Crustacea, Arachnida, autochthonous insects, allochthonous insects, fish and scales and plant material to the diet of nine standard length classes of Cynopoecilus fulgens Costa, 2002 in a temporary flooded area in the coastal plain of State of Rio Grande do Sul, Brazil, according to the ordering from non-metric multidimensional scaling analysis (nMDS) with cluster overlap. The larger the gray circle, the higher volumetric frequency values of the items.

Fig. 2 in Ontogenetic variations and feeding habits of a Neotropical annual fish from southern Brazil

Fig. 2. General view of the sampling points of Cynopoecilus fulgens Costa, 2002 in a temporary flooded area in the coastal plain of State of Rio Grande do Sul, Brazil.

Fig. 5 in Ontogenetic variations and feeding habits of a Neotropical annual fish from southern Brazil

Fig. 5. Ordering according to non-metric multidimensional scaling analysis (nMDS) with cluster overlap (traces), utilizing the Bray-Curtis similarity coefficient, comparing the diets of the different standard length classes of Cynopoecilus fulgens Costa, 2002 in a temporary flooded area in the coastal plain of State of Rio Grande do Sul, Brazil.

Fig. 1 in Ontogenetic variations and feeding habits of a Neotropical annual fish from southern Brazil

Fig. 1. Map of the study area, showing Lagoa dos Barros, municipality of Mostardas, State of Rio Grande do Sul, Brazil.

Fig. 8 in Ontogenetic variations and feeding habits of a Neotropical annual fish from southern Brazil

Fig. 8. Trophic niche breadth values calculated by Levins index (Ba) for the diet of nine classes of standard length of Cynopoecilus fulgens Costa, 2002 in a temporary flooded area in the coastal plain of State of Rio Grande do Sul, Brazil (SL1 Ba = 0.279; SL2 Ba = 0.243; SL3 Ba = 0.352; SL4 Ba = 0.347; SL5 Ba = 0.366; SL6 Ba = 0.431; SL7 Ba = 0.404; SL8 Ba = 0.553; and SL9 Ba = 0.511). Gray bars indicate a small niche breadth, while the black bars indicate an intermediate niche breadth.

Fig. 4 in Ontogenetic variations and feeding habits of a Neotropical annual fish from southern Brazil

Fig. 4. Costello graphics showing the proportion of food items found in the diet of nine standard length classes of Cynopoecilus fulgens Costa, 2002 in a temporary flooded area in the coastal plain of State of Rio Grande do Sul, Brazil.

Fig. 3 in Ontogenetic variations and feeding habits of a Neotropical annual fish from southern Brazil

Fig. 3. Frequency (abundance) of Cynopoecilus fulgens Costa, 2002 individuals collected in a temporary flooded area in the coastal plain of State of Rio Grande do Sul, Brazil, separated in size classes for each month.

Fig. 2 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability

Fig. 2. Ordination by principal coordinate analysis (PCoA) of the food resource availability for six floodplain lakes along the Upper Paraná River, Paraná-Mato Grosso do Sul. AQI = aquatic insects; OAI = other aquatic invertebrates; OTI = other terrestrial invertebrates; PLA = plants; TRI = terrestrial insects.

Fig.5 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability

Fig.5. Relationship between the mean of the proportional overlap Index (IS) and the scores of the first PCoA axis of resource availability in isolated floodplain lakes along the upper Paraná River.Values of IS closer to 1 indicates greater diet overlap. The mean IS was calculated based on individuals of 3 (ZÉ = ZÉ Marinho), 7 (Carioca = Car), 4 (TiÃo = Tia), 5 (Genipapo = Gen), 2 (CidÃo = Cid) and 5 species (Canal = Can).AQI = aquatic insects; PLA = plants.

Fig. 1 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability

Fig. 1. Locations of the lakes on the upper Paraná River floodplain, Brazil: 1, Canal do Meio; 2, Carioca; 3, ZÉ Marinho; 4, CidÃo; 5, Genipapo; 6, TiÃo.

Fig. 4 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability

Fig. 4. Relationship of the mean the Schoener's Index (O) between pairs of species and the scores of the first PCoA axis of resource availability in isolated floodplain lakes along the upper Paraná River. The mean O was calculated based on 10 (ZÉ = ZÉ Marinho), 28 (Carioca = Car), 6 (TiÃo = Tia), 21 (Genipapo = Gen), 3 (CidÃo = Cid) and 10 (Canal = Can) pairs of species. AQI = aquatic insects; PLA = plants.

Fig. 3 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability

Fig. 3. Relationships between feeding selectivity by fish and the availability of food resources for six floodplain lakes along the Upper Paraná River, ParanáMato Grosso do Sul. Shape of data distribution (envelope effect) was significant.

Fig. 7 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy

Fig. 7. Differences in slopes obtained for lineal regressions of mollusks with and without shells. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.

Fig. 1 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy

Fig. 1. Lower to higher fit level (R2) for the lineal models on metric-DW variation of invertebrates. The pie-chart shows the proportion (%) of values that fall within each R2 category. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.

Fig. 2-5 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy

Fig. 2-5. Dispersion plots and lineal curves on L-DW regressions for (2) oligochaetes, (3) mollusks, (4) insects and (5) all invertebrates together. For Planorbidae L=D and for Ampullariidae L= H. In Fig. 5 only apple snails H-DW were considered within "Gastropoda" and only Corbiculidae and Hyriidae (and not Sphaeriidae) were considered within "Bivalvia". Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.