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Figure 2 in Effect of Pupal Holding Density on Emergence Rate, Flight Ability, and Yield of Sterile Male Mediterranean Fruit Flies (Diptera: Tephritidae)

Figure 2. Estimated numbers of fliers produced per tower (top) and ratios of number of fliers produced to number of pupae placed per tower (bottom) in relation to the pupal loading level per constituent tray. Hawaii-derived flies were used exclusively; towers contained 52 trays. Symbols represent means over 33 towers per loading level (3 towers per test day x 11 test days); error bars represent ± 1 SE.

Fig. 1 in It is recreational but profitability also matters: A cost-effective economic approach to marine recreational fishing in Spain Abstract

Fig. 1: Map of the study area. The darker regions highlighted correspond to Spanish coastal Autonomous Communities.

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.

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. 6 in Effect of Nutrient, Light Intensity and Temperature on the Growth Rates and Metabolism of a Stress-Resistant Bacillariophyta Species Entomoneis sp. - in Izmir Bay (Aegean Sea) Abstract

Fig. 6: Maxiumum growth rate determination of all temperatures, light intensities and nutrient concentrations.

Fig. 5 in Effect of Nutrient, Light Intensity and Temperature on the Growth Rates and Metabolism of a Stress-Resistant Bacillariophyta Species Entomoneis sp. - in Izmir Bay (Aegean Sea) Abstract

Fig. 5: Entomoneis sp biomass (Chl a, µg /L) under different N/P ratios and light intensities (a) representing growth under T1°C (b) T2°C (c) and T3°C.

Fig. 2 in Effect of Nutrient, Light Intensity and Temperature on the Growth Rates and Metabolism of a Stress-Resistant Bacillariophyta Species Entomoneis sp. - in Izmir Bay (Aegean Sea) Abstract

Fig. 2: 3D response surface plot and contour line of Box– Behnken Design showing the mutual effect of temperature and light intensity on chlorophyll a concentration (µg/L) of Entomoneis sp. using an N/P ratio of 11.

Fig. 3 in Effect of Nutrient, Light Intensity and Temperature on the Growth Rates and Metabolism of a Stress-Resistant Bacillariophyta Species Entomoneis sp. - in Izmir Bay (Aegean Sea) Abstract

Fig. 3: 3D response surface plot and contour line of Box– Behnken Design showing the mutual effect of temperature and light intensity on growth rate (day-1) of Entomoneis sp. using an N/P ratio of 4.4.

Fig. 4 in Effect of Nutrient, Light Intensity and Temperature on the Growth Rates and Metabolism of a Stress-Resistant Bacillariophyta Species Entomoneis sp. - in Izmir Bay (Aegean Sea) Abstract

Fig. 4: 3D response surface plot and contour line of Box– Behnken Design showing the mutual effect of temperature and light intensity on growth rate (day-1) of Entomoneis sp. using an N/P ratio of 27.

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).

Figure 3 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy

Figure 3. (a) Aboveground biomass of S. altissima in September 2019. (b) Biomass of rhizomes of S. altissima in September 2019. Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September. Data are presented as means ± standard errors of 14 replicates. Bars with different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey's test).

Figure 4 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy

Figure 4. Effects of control practices on flowering rates of S. altissima in October 2019. Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September. Data are presented as means ± standard errors of 14 replicates. Bars with different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey's test).

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Figure 2 in Variation in glyphosate effects and accumulation in emergent macrophytes

Figure 2. Concentration-response relationships for Phragmites australis (top graph), Typha latifolia (middle graph) and Typha × glauca (bottom graph) based on the proportion of dead shoots observed 27 days post-exposure to 0–8% glyphosate (Roundup WeatherMAX® formulation). Each treatment was replicated seven times per taxa, except T. latifolia at 5% (n = 6). Measured concentrations were used for modelling (Table S2). Grey points represent the replicates and are darker when points overlap; grey shading illustrates the 95% confidence bounds of the concentration-response model; solid red dots represent LC50 estimates; LC50 estimates on top left corner of each graph are given with lower and upper 95% confidence limits.

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Figure 3 in Variation in glyphosate effects and accumulation in emergent macrophytes

Figure 3. Average residues of glyphosate (left) and aminomethylphosphonic acid (AMPA; right) detected in above-ground plant tissues of the three macrophytes Phragmites australis (PA), Typha latifolia (TL) and Typha × glauca (TXG) 27 days post-exposure to 8% and 5% glyphosate solutions (Roundup WeatherMAX® formulation). Four replicates per taxon and treatment, except for TL at 5% (n = 3); error bars represent standard errors of the means; letters a-b (left plot) and c-d (right plot) indicate significant differences in residues among taxa. Note y-axes have different scales.

Figure 1 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy

Figure 1. (a) Coverage of S. altissima and (b) the average number of species per quadrat in the S. altissima-dominant areas or uninvaded areas. Data are presented as means ± standard errors of 14 replicates. Bars with different letters are significantly different at p <0.05 (Student's t-test).

Figure 2 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy

Figure 2. Number of shoots of S. altissima in March 2018 and April 2019. Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September; Eco 200: 30% of shoots in the quadrats were cut near the ground, and the cut surfaces were covered with Eco 200 block. Data are presented as means ± standard errors of 14 replicates. Bars with different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey's test).