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opencc-by-4.0Jun 2009View details →

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).

opencc-by-4.0Jun 2009View details →

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).

opencc-by-4.0Dec 2008View details →

Fig. 1 in Scientific Note Vertical segregation of two species of Hyphessobrycon (Characiformes: Characidae) in the Cabiúnas coastal lagoon, southeastern Brazil

Fig. 1. Parque Nacional da Restinga de Jurubatiba (shaded area within the circle) in Rio de Janeiro State, southeastern Brazil. The satellite image shows Cabiúnas Lagoon, located in the southern part of the park. Asterisks indicate observation sites in the lagoon.

Fig. 3 in Effects of extended absence of flooding on the fish assemblages of three floodplain lagoons in the middle São Francisco River, Brazil

Fig. 3. Catch per unit of effort in number of individuals (CPUEn) in the 'Curral-de-Vara' and 'Cajueiro' lagoons of the middle São Francisco River, Brazil, from September 1994 to March 1996 (dot = mean; whiskers = maximum and minimum).

Fig. 5 in Effects of extended absence of flooding on the fish assemblages of three floodplain lagoons in the middle São Francisco River, Brazil

Fig. 5. São Francisco River flow at the town of Manga, State of Minas Gerais, during the last 20 years before 2003, including the period of study.

Fig. 2 in Evidence of habitat fragmentation affecting fish movement between the Patos and Mirim coastal lagoons in southern Brazil

Fig. 2. Average, minimum and maximum salinity values along the Patos Lagoon estuary (A1, A2), São Gonçalo Channel (B1, B2) and Mirim Lagoon (C1, C2).

Fig. 1 in Evidence of habitat fragmentation affecting fish movement between the Patos and Mirim coastal lagoons in southern Brazil

Fig. 1. Patos-Mirim lagoon complex in southern Brazil (a) showing locations of the six beach seine stations (b) at the Patos Lagoon estuary (A1, A2), São Gonçalo Channel (B1, B2) and Mirim Lagoon (C1, C2). A dam is located between stations B1 and B2.

Fig. 3 in Factors influencing Serrapinnus notomelas (Characiformes: Characidae) populations in upper Paraná river floodplain lagoons

Fig. 3. Scatterplot of the abundance of Serrapinnus notomelas and the scores of axis 1 of the principal components analysis (PCA) that summarized physical variables. Variables that more contributed to formation of the axis (arrows) are also given. TSS = Total suspended solids.

Fig. 4 in Effects of extended absence of flooding on the fish assemblages of three floodplain lagoons in the middle São Francisco River, Brazil

Fig. 4. Catch per unit of effort in biomass (CPUEb) in the 'Curral-de-Vara' and 'Cajueiro' lagoons of the middle São Francisco River, Brazil, from September 1994 to March 1996 (dot = mean; whiskers = maximum and minimum). Different letters above columns indicate significant differences.

Fig. 2 in Effects of extended absence of flooding on the fish assemblages of three floodplain lagoons in the middle São Francisco River, Brazil

Fig. 2. Fish richness in the marginal lagoons of the middle São Francisco River, Brazil, from September 1994 to March 1996.

Fig. 1 in Factors influencing Serrapinnus notomelas (Characiformes: Characidae) populations in upper Paraná river floodplain lagoons

Fig. 1. Map of the upper Paraná River floodplain showing the locations of the sampling stations (lagoons).

opencc-by-4.0Sep 2005View details →

Fig. 1 in Diet composition and feeding strategy of the southern pipefish Syngnathus folletti in a Widgeon grass bed of the Patos Lagoon Estuary, RS, Brazil

Fig. 1. Relationship between mouth gape (a) and prey size (b) with total length (in mm) of female (open circles) and male (dots) individuals of the southern pipefish Syngnathus folletti.

opencc-by-4.0Sep 2005View details →

Fig. 3 in Diet composition and feeding strategy of the southern pipefish Syngnathus folletti in a Widgeon grass bed of the Patos Lagoon Estuary, RS, Brazil

Fig. 3. Conceptual diagram showing the microhabitat distribution within the Widgeon grass bed of some benthic macroinvertebrates consumed by Syngnathus folletti. Gastropoda: 1. Heleobia australis; Tanaidacea: 2. Kalliapseudes schubartii, 3. Tanais stanfordi; Isopoda: 4. Dies fluminensis, 5. Uromunna peterseni; Amphipoda: 6. Mellita mangrovi.

Fig. 5. Correlation between PCA axis 1 in Fish assemblages of tropical floodplain lagoons: exploring the role of connectivity in a dry year

Fig. 5. Correlation between PCA axis 1 and species richness (a), density (b), and biomass (c) in connected [February (), May (), November ()] and disconnected lagoons, May (), August (), November ()]. Arrows indicate the direction of the limnological variables influence.

Fig. 4 in Fish assemblages of tropical floodplain lagoons: exploring the role of connectivity in a dry year

Fig. 4. DCA ordination of sample sites by month in connected [February (), May (), November ()] and disconnected lagoons [, May (), August (), November ()]. Arrows indicate the direction of influence of species in the ordination.

Fig. 2 in Fish assemblages of tropical floodplain lagoons: exploring the role of connectivity in a dry year

Fig. 2. Daily variation of pluviometric (a) and hydrometric levels (c) of the Paraná River in 2000, measured at Porto São José municipality, and difference between mean monthly pluviometric (b) and hydrometric levels (d) in 2000 (x) and the last 10 1 years (x). Data supplied by DNAEE (Departamento Nacional de Águas e Energia Elétrica). Dashed line indicates water level 2 required for initial inundation of the floodplain (Veríssimo, 1994).

Fig. 1 in Fish assemblages of tropical floodplain lagoons: exploring the role of connectivity in a dry year

Fig. 1. Study area with location of sampling sites in connected (1-6) and disconnected lagoons (7-15): 1 (Leopoldo),

opencc-by-4.0Jan 2023View details →

The computation results of coupled hydrological and hydrodynamic modelling application for the Nemunas River watershed – Curonian Lagoon – South-Eastern Baltic Sea continuum

The datasets provided here were used to analyse the cumulative impacts of climate change in a Nemunas River watershed – Curonian Lagoon – South‑Eastern Baltic Sea continuum by applying a state-of-the-art coupled modelling system, which consists of hydrological and hydrodynamic models. Meteorological data used for running the models were acquired from CORDEX (Coordinated Regional Downscaling Experiment) scenarios for Europe from the Rossby Centre high-resolution regional atmospheric climate model (RCA4), which consisted of four sets of simulations (downscaling) driven by four global climate models: <table> <tbody> <tr> <th>Abbreviation in datasets</th> <th>Model</th> <th>Institution</th> </tr> </tbody> <tbody> <tr> <td>ICHEC</td> <td>EC-Earth</td> <td>Irish Centre for High-End Computing</td> </tr> <tr> <td>IPSL</td> <td>IPSL-CM 5A-MR</td> <td>The Institut Pierre-Simon Laplace</td> </tr> <tr> <td>MOHC</td> <td>HadGEM2-ES</td> <td>Met Office Hadley Centre</td> </tr> <tr> <td>MPI</td> <td>MPI-ESM-LR</td> <td>Max Planck Institute for Meteorology</td> </tr> </tbody> </table>   Climate change scenarios and periods: <ul> <li>Historical/reference (1970-2005);</li> <li>RCP4.5 (2005-2100);</li> <li>RCP8.5 (2005-2100).</li> </ul> The datasets consist of time series for the parameters of: <ul> <li>Ice thickness - average ice thickness in the Curonian Lagoon;</li> <li>Meteorological data - bias-corrected temperature and precipitation data for the marine and terrestrial areas;</li> <li>Nemunas River discharge - simulated average daily values for the discharge and water temperature;</li> <li>Salinity - selected points in the south-eastern Baltic Sea and one point next to Juodkrantė (in the Curonian Lagoon);</li> <li>Water fluxes - through four predefined cross-sections in the Curonian Lagoon;</li> <li>Water level - in 10 preselected points in the Curonian Lagoon and South-eastern Baltic Sea;</li> <li>Water residence time - in the total Curonian Lagoon area, as well as its northern and southern parts;</li> <li>Water temperature - in 10 preselected points in the Curonian Lagoon and South-eastern Baltic Sea.</li> </ul> Some of the datasets (zip files) have additional information (coordinates, data column explanations, units, etc.) in READ_ME.txt files.