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opencc-by-4.0Dec 2022View details →

Fig. 4 in It is recreational but profitability also matters: A cost-effective economic approach to marine recreational fishing in Spain Abstract

Fig. 4: Economic indicator by: A) the main fishing modalities: spearfishing, shore-fishing and boat-fishing and B) spearfishing diving approach.

opencc-by-4.0Dec 2022View details →

Fig. 3 in It is recreational but profitability also matters: A cost-effective economic approach to marine recreational fishing in Spain Abstract

Fig. 3: Daily expenses. A) Spearfishing by diving approach and B) Boat fishing (angling) by type of vessel. The percentage of responses by modality in brackets.

Fig. 5 in Fish assemblages along the coasts of Tunisia: a baseline study to assess the effectiveness of future Marine Protected Areas

Fig. 5: Size-class (S: small, M: medium and L: large) frequency distribution (%) of relevant target fishes in Unprotected (UP) and Future Protected (FP) zones at the three studied locations (KU: Kuriat Islands, CNCS: Cap Negro-Cap Serrat, TA: Tabarka), (Number of individuals used to calculate percentages is given in Supp. Mat. 2).

Fig. 3 in Fish assemblages along the coasts of Tunisia: a baseline study to assess the effectiveness of future Marine Protected Areas

Fig. 3: Mean density (±standard error) per trophic category at the sampling locations (KU: Kuriat Islands, CNCS: Cap Negro-Cap Serrat, TA: Tabarka) and per protection level (UP: Unprotected, FP: Future Protected).

Fig. 1 in Fish assemblages along the coasts of Tunisia: a baseline study to assess the effectiveness of future Marine Protected Areas

Fig. 1: Locations where MPAs will be established along the Tunisian coast. Location of future protected sites (FP) and those outside (that will remain unprotected) (UP) (separated with dotted lines indicating borders of future MPAs as they are proposed in management plans).

Fig. 4 in Fish assemblages along the coasts of Tunisia: a baseline study to assess the effectiveness of future Marine Protected Areas

Fig. 4: Mean biomass (±standard error) per trophic category at the sampling locations (KU: Kuriat Islands, CNCS: Cap Negro-Cap Serrat, TA: Tabarka) and per protection level (UP: Unprotected, FP: Future Protected).

Fig. 2 in Fish assemblages along the coasts of Tunisia: a baseline study to assess the effectiveness of future Marine Protected Areas

Fig. 2: Mean species richness (a), mean density (b) and mean biomass (c) (±standard error) per location (KU: Kuriat islands, CNCS: Cap Negro-Cap Serrat, TA: Tabarka) and protection level (UP: Unprotected, FP: Future Protected).

opencc-zeroJun 2024View details →

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Data from: Status-dependent metabolic effects of social interactions in a group-living fish

<p>Social interactions can sometimes be a source of stress, but social companions can also ameliorate and buffer against stress. Stress and metabolism are closely linked, but the degree to which social companions modulate metabolic responses during stressful situations—and whether such effects differ depending on social rank—is poorly understood. To investigate this question, we studied Neolamprologus pulcher, a group-living cichlid fish endemic to Lake Tanganyika, and measured the metabolic responses of dominant and subordinate individuals when they were either visible or concealed from one another. When individuals could see each other, subordinates had lower maximum metabolic rates and tended to take longer to recover following an exhaustive chase compared to dominants. In contrast, metabolic responses of dominants and subordinates did not differ when individuals could not see one another. These findings suggest that the presence of a dominant individual has negative metabolic consequences for subordinates, even in stable social groups with strong prosocial relationships.</p>

Fig. 6 in Ecophysiological responses to the effect of annual management on an endemic viviparous fish in central plateau of México

Fig. 6. Bimonthly structure of the population of G. multiradiatus in San Martin. Shows the curves of growth with the von Bertalanffy model for highly seasonal cycles. Upon reaching the asymptotic curve determines the final class of each age cohort.

Fig. 5 in Ecophysiological responses to the effect of annual management on an endemic viviparous fish in central plateau of México

Fig. 5. General structure of the population of San Martín mexcalpique. The numbers in parentheses indicate the percentage of each size class of the total population.

Fig. 8 in Ecophysiological responses to the effect of annual management on an endemic viviparous fish in central plateau of México

Fig. 8. Percentages of each food components found in the digestive tract of G. multiradiatus during a hydrological cycle in san Martín dam.

Fig. 4 in Ecophysiological responses to the effect of annual management on an endemic viviparous fish in central plateau of México

Fig. 4. Number of individuals (bars) and mean biomass of the population (line curve) of mexcalpiques during a hydrological cycle.

Fig. 2 in Ecophysiological responses to the effect of annual management on an endemic viviparous fish in central plateau of México

Fig. 2. Ombrothermic diagram for San Martin dam, Amealco, Qro. It shows hydrological periods of importance to the life cycle of mexcalpique.

Fig. 4 in Effects of the interannual variations in the flood pulse mediated by hypoxia tolerance: the case of the fish assemblages in the upper Paraná River floodplain

Fig. 4. Ordination of the samples of the upper Paraná River floodplain, through the detrended correspondence analysis (DCA), in years of short (diamond: 2000 white, 2001 gray) and moderate floods (square: 2002 gray, 2003 black). Numbers 1-6 are codes of the sampling stations (see Fig. 1).

Fig. 5 in Effects of the interannual variations in the flood pulse mediated by hypoxia tolerance: the case of the fish assemblages in the upper Paraná River floodplain

Fig. 5. Fish assemblage attributes in the main habitats of the upper Paraná River floodplain in years of short (2000 and 2001) and moderate (2002 and 2003) floods. The black area of the bars represents the proportion of STH. Numbers 1-6 on the abscissa are codes of the sampling stations (see Fig. 1).

Fig. 2 in Effects of the interannual variations in the flood pulse mediated by hypoxia tolerance: the case of the fish assemblages in the upper Paraná River floodplain

Fig. 2. Monthly (a) and daily level (b, between January and March) of the upper Paraná River recorded in Porto São José municipality. In b (right axis), the number of days between January and March, when the upper Paraná River surpassed the threshold of 350 cm (horizontal braked line). The years 2000 and 2001 were considered as years of short floods and 2002 and 2003 as years of moderate floods. Source: National Department of Waters and Electric Energy.

Fig. 6 in Effects of the interannual variations in the flood pulse mediated by hypoxia tolerance: the case of the fish assemblages in the upper Paraná River floodplain

Fig. 6. Relationships between each assemblage attribute and dissolved oxygen, in years of short (white) and moderate floods (black). Attributes where either calculated for the entire fish assemblage (STH+SIH) (a-c) and for the subsets of STH (d-f) and SIH (g-i). Numbers 1-6 are codes of the sampling stations (see Fig. 1).

opencc-by-4.0Sep 2013View details →

Fig. 3 in Physiological effects of gasoline on the freshwater fish Prochilodus lineatus (Characiformes: Prochilodontidae)

Fig. 3. Plasma osmolarity (a) and concentrations of Na+ (b), K+ (c) and Cl- (d) of Prochilodus lineatus exposed to WSFG (EXP) or only to water (CTR) for 6, 24 and 96h. Data are means ± SEM (n = 10-13), asterisks indicate different from respective control (P <0.05).

opencc-by-4.0Sep 2013View details →

Fig. 4 in Physiological effects of gasoline on the freshwater fish Prochilodus lineatus (Characiformes: Prochilodontidae)

Fig. 4. Immunohistochemistry location of the Na+/K+- ATPase enzyme in the chloride cells (CC) of P. lineatus exposed to only to water (a) or WSFG (b) for 24h. Original magnification: 400 X.