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opencc-by-4.0Dec 2011View details →

Fig. 1 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin

Fig. 1. Location of the sampling site in the Cuiabá River (1 and 2) and Chacororé pond (3), in the upper Pantanal region, Mato Grosso State, Brazil.

opencc-by-4.0May 2011View details →

Fig. 3 in Evidence of the color pattern variation in populations of Gymnotus pantanal (Gymnotiformes) from three streams in the upper Paraná River basin, Brazil

Fig. 3. Color pattern variation in Gymnotus pantanal from Pinheirinho and Jacutinga streams. (a) 209.8 mm TL (NUP 9311); (b) 181.0 mm TL (NUP 9311); (c) 150.0 mm TL (NUP 9312); (d) 125.0 mm TL (NUP 9312).

opencc-by-4.0May 2011View details →

Fig. 4 in Evidence of the color pattern variation in populations of Gymnotus pantanal (Gymnotiformes) from three streams in the upper Paraná River basin, Brazil

Fig. 4. Principal Component Analysis (PCA) ordination (a) and average values (± standard error) of the axes scores 1 (b) and 2 (c) from PCA ordination of morphometric characters for Gymnotus pantanal atypical color pattern (G. 1) and Gymnotus pantanal sensu stricto (G. 2).

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. 4 in Diet seasonality and food overlap of the fish assemblage in a pantanal pond

Fig. 4. Niche breadth values to fish assemblage in the Sinhá Mariana pond (Mato Grosso State, Brazil) using Levin's stan- dardized index, during rainy and dry seasons.

Fig. 5 in Diet seasonality and food overlap of the fish assemblage in a pantanal pond

Fig. 5. Values of trophic niche breadth (mean ± standard error) of fish species in the Sinhá Mariana pond (Mato Grosso State, Brazil) during rainy and dry seasons.

Fig. 3 in Diet seasonality and food overlap of the fish assemblage in a pantanal pond

Fig. 3. Dendrogram of diet similarity of the fish assemblage in the Sinhá Mariana pond (Mato Grosso State, Brazil) showing the trophic guilds during rainy (A) and dry (B) seasons. Abbreviations of the species names are showing in table 1.

Fig. 2 in Diet seasonality and food overlap of the fish assemblage in a pantanal pond

Fig. 2. Water level in the in the studied region, Sinhá Mariana pond, Mato Grosso State, Brazil, from March/2000 to February/2001, showing the wet and dry seasons. These dates were provided by Agência Nacional de Águas (ANA).

opencc-by-4.0Nov 2022View details →

Data for: Changes in evapotranspiration, transpiration and evaporation across natural and managed landscapes in the Amazon, Cerrado and Pantanal biomes

<p>This dataset contains measurements of evapotranspiration and other meteorological variables (net radiation, air temperature, vapor pressure deficit, etc) from nine eddy covariance towers located in different ecosystems in the Amazon (natural Amazon forest, cropland and pastureland), Cerrado (natural savannah, irrigated and rainfed croplands) and Pantanal (natural forest, pastureland) biomes. It also contains estimates of transpiration that were calculated using two different approaches, the transpiration estimation algorithm (TEA) and the underlying water use efficiency method (uWUE).</p>

opencc-by-4.0Sep 2015View details →

Figure 2 in Biotic components of dung beetles (Insecta: Coleoptera: Scarabaeidae: Scarabaeinae) from Pantanal - Cerrado Border and its implications for Chaco regionalization

Figure 2. Continued.

opencc-by-4.0Sep 2015View details →

Figure 2 in Biotic components of dung beetles (Insecta: Coleoptera: Scarabaeidae: Scarabaeinae) from Pantanal - Cerrado Border and its implications for Chaco regionalization

Figure 2. Continued.

opencc-by-nc-4.0Feb 2021View details →

Figure 4 in Microhabitat selection of the poorly known lizard Tropidurus lagunablanca (Squamata: Tropiduridae) in the Pantanal, Brazil

Figure 4. Result of the mixed Conditional Logistic Regression model for the presence of Tropidurus lagunablanca as a function of predictor variables: substrate temperature, in ℃ (A) and diameter at breast height (DBH, in cm) of the trees (B). The solid line represents the probability predicted by the model and the dashed lines represent the respective confidence intervals. The circles are the observed values measured in the points of presence (used microhabitats) and availability (the four respective unused microhabitats paired to each used one). As we included the ID of the observation (one ID for one used site, plus the correspondent four available microhabitats) in the model as a random factor, we colored the circles in the plot by ID, so one can have an idea of what used value corresponds to each available value. Please note that the location of the circles was vertically jittered to enhance visualization, but all points of availability correspond to the exact same probability of 0 and all points of presence correspond to the exact same probability of 1.

opencc-by-nc-4.0Feb 2021View details →

Figure 3 in Microhabitat selection of the poorly known lizard Tropidurus lagunablanca (Squamata: Tropiduridae) in the Pantanal, Brazil

Figure 3. Substrate temperatures (Ts) of the sites where Tropidurus lagunablanca were observed along daily activity period (local time) at the Base de Estudos do Pantanal, Corumbá, Mato Grosso do Sul, Brazil.