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FIG. 3 in Catching tuna in the Aegean: biological background of tuna fisheries and the archaeological implications
FIG. 3. — Beach seine fishing scene on a Mycenean hydria (12th c. BC) from Naxos. The large fish in the net are probably tuna (reproduced from Hadjianastasiou 1991).
FIG. 2 in Catching tuna in the Aegean: biological background of tuna fisheries and the archaeological implications
FIG. 2. — Thynnus sp. bones from Late Classical strata (400-300 BC) at Kalaureia, Poros island. Scale bar: 4 cm. Credits: D. Mylona, Kalaureia excavations photographic archive.
FIG. 5 in Catching tuna in the Aegean: biological background of tuna fisheries and the archaeological implications
FIG. 5. — Sketch of a thynneion (stationary tuna trap) at Kandylio a few short distance north of Halieis (reproduced from Panagiotopoulos 1914).
FIG. 4 in Catching tuna in the Aegean: biological background of tuna fisheries and the archaeological implications
FIG. 4. — Wall painting of one of the two Little Fishermen from the so called West House at Akrotiri,Thera. The fish he holds are little tunny (Euthynnus allet- teratus Rafinesque, 1810) or bullet tunny (Auxis rochei Risso, 1810) (reproduced from Doumas 1992).
BOATS-Global-Fisheries-Economics-Model-Dataset-Carozza-et-al-2016
<p>Here we provide the MATLAB functions, fisheries data, model forcing data (net primary production and temperature), and model output required to generate the figures and perform calculations from Carozza et al. (2017) [Carozza DA, Bianchi D, Galbraith ED (2017) Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model. PLoS ONE 12(1): e0169763. doi:10.1371/journal.pone.0169763]. The plot script (plot_figures_PLoSONE_repository.m) is written in MATLAB version R2012a.</p>
Figure 4 in Decapod abundance and species richness in the bycatch of Xiphopenaeus kroyeri (Heller, 1862) fishery, Santa Catarina, southern Brazil
Figure 4. Temperature variation along the seasons of the year. Samples were taken from July 2010 through June 2011, in the adjacent area from the Babitonga Bay, Santa Catarina State, Brazil.
Figure 3 in Decapod abundance and species richness in the bycatch of Xiphopenaeus kroyeri (Heller, 1862) fishery, Santa Catarina, southern Brazil
Figure 3. Quotient between the carcino-bycatch and Xiphopenaeus kroyeri abundance. Samples were taken from July 2010 through June 2011 in the adjacent area from the Babitonga Bay, Santa Catarina State, Brazil. Black circles indicate deviations from a 1:1 expected proportion (Binomial test, p<0.05).
Figure 5 in Decapod abundance and species richness in the bycatch of Xiphopenaeus kroyeri (Heller, 1862) fishery, Santa Catarina, southern Brazil
Figure 5. Biplot of the axes from the Redundancy Analysis (RDA). Spatial variation of the biological and environmental variables from July 2010 through June 2011 in the adjacent area from Babitonga Bay, SC. Arrows indicate the strength of the relation between the axes and the environmental factors (O.M= Organic matter content; Phi=Substrate granulometry).
Figure 2 in Decapod abundance and species richness in the bycatch of Xiphopenaeus kroyeri (Heller, 1862) fishery, Santa Catarina, southern Brazil
Figure 2. Relative composition (%) of individuals comprised in the carcino-bycatch, sorted by different taxonomic categories, from the artisanal Xiphopenaeus kroyeri fishery. Samples were taken from July 2010 through June 2011 in the adjacent area from the Babitonga Bay, Santa Catarina State, Brazil.
Figure 1 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 1. – Sampling sites in West, AMA (Adjacent Marine Protected Area of Hyères Bay) and East zones on the south-eastern coast of France, NW Mediterranean Sea.
Figure 4 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 4. – Percentages of both sexes and females:males sex-ratio of Mullus surmuletus by zone (A) and season (B).
Figure 3 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 3. – Mean (± SE) total length (TL, cm) of Mullus surmuletus in West, AMA and East zones. N: number of analyzed individuals per sex in zones. Values with the same post-hoc letters (red for females, blue for males) are not significantly different (p> 0.05).
Figure 2 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 2. – Percentage of individuals of Mullus surmuletus analyzed by two-cm size class (total length in cm) and by sex. N: number of individuals, F: females, M: males, Undet.: unidentified group includes immature individuals and those whose sex could not be identified.
Figure 8 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 8. – Mean percentages of gonadal development stages (GDS) of Mullus surmuletus. A: By zone for females; B: By zone for males; C: By season for females; D: By season for males. N: number of individuals.
Figure 6 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 6. – Mean gonado-somatic index (GSI, %) of males and females of Mullus surmuletus by (A) zone and (B) season. Values with the same post-hoc let-letters (red for females, blue for males) are not significantly different (p> 0.05).
Figure 7 in Are fisheries regulations influencing the biology and reproduction of the surmullet Mullus surmuletus Linnaeus, 1758 on the south-eastern coasts of France (NW Mediterranean)?
Figure 7. – Mean percentage of gonadal development stages of Mullus surmuletus by 2-cm size class (TL, cm) and sex for (A) females and (B) males. N: number of individuals.
Figure 8 in Unraveling distributional patterns and life-history traits of a deep-water shrimp Plesionika edwardsii (Decapoda, Pandalidae) under unexploited virgin conditions: a benchmark for fisheries management
Figure 8. Hypothesized life cycle of Plesionika edwardsii in the Azorean region. After the incubation period of shrimp eggs, (1) larvae are released into the water column and (2) juveniles develop in shallow waters. Mature females and males are distributed up to 600 m with a sexual segregation by depth: (3) non-ovigerous females are mainly found up to 200 m, (4) ovigerous females between 200 and 300 m, and (5) males from 400 to 500 m deep. Females are bigger than males, and ovigerous females are bigger than nonovigerous females. A bigger-deeper trend is observed up to 400 m. (6) Long larval stages of P. edwardsii increases its potential for dispersal (Landeira et al., 2009), favoring connectivity and stock homogeneity between adjacent areas.
Figure 5 in Unraveling distributional patterns and life-history traits of a deep-water shrimp Plesionika edwardsii (Decapoda, Pandalidae) under unexploited virgin conditions: a benchmark for fisheries management
Figure 5. Sex ratio of Plesionika edwardsii by depth stratum in the Azorean region during the period 1999–2000.
Figure 2 in Unraveling distributional patterns and life-history traits of a deep-water shrimp Plesionika edwardsii (Decapoda, Pandalidae) under unexploited virgin conditions: a benchmark for fisheries management
Figure 2. Seasonal predicted mean catch per unit effort (CPUE, g trap-1) by depth stratum for males, non-ovigerous and ovigerous females of Plesionika edwardsii in the Azorean region for the period 1999–2000. Light-colored symbols represent raw data. Detailed parameter estimates are in Tab. S4.
Figure 7 in Unraveling distributional patterns and life-history traits of a deep-water shrimp Plesionika edwardsii (Decapoda, Pandalidae) under unexploited virgin conditions: a benchmark for fisheries management
Figure 7. Size at which 50 % of the shrimps are mature (L 50) estimated for Plesionika edwardsii in the Azorean region fitting a logistic curve to the proportion of ovigerous females. Logistic curve was estimated combining all data obtained during the period 1999–2000.
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