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Fig. 2 in Patterns of gastrointestinal parasite infections in bighorn sheep, Ovis canadensis, with respect to host sex and seasonality

Fig. 2. Seasonal differences in fecal egg counts in female (blue) and male (red) bighorn sheep. Point intervals display the mean count ±95% confidence intervals as predicted by generalised linear mixed effects models. Seasons are: Late gestation (Late gestation/early lactation between April to June); Lactation/summer (between July and October); Rut (November and December); Winter (Winter/early gestation from January to March). Parasites are a) Strongyle; b) Nematodirus; c) Marshallagia; d) Protostrongylus lungworm; e) Eimeria. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

Fig. 1 in Patterns of gastrointestinal parasite infections in bighorn sheep, Ovis canadensis, with respect to host sex and seasonality

Fig. 1. Schematic of the reproductive biology and seasons of bighorn sheep. The blue circle represents the entire year, where the top is December, 3 o'clock March, 6 o'clock June, 10 o'clock October etc. The grey quarter circle represents the season Jan–March = Winter/early gestation; the dark green quarter circles represent the season from April–June = late gestation/early lactation; the light green line represents the season between July and October, which is also representing lactation/summer; and the brown line is representing November and December, or the rutting season. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

Fig. 3 in Patterns of gastrointestinal parasite infections in bighorn sheep, Ovis canadensis, with respect to host sex and seasonality

Fig. 3. Differences in mean and standard error in strongyle counts between males that use the coursing or tending mating tactic. Point intervals display the mean count ±95% confidence intervals as predicted by the generalised linear mixed effects model.

Figure 4 in Migratory fishes from rivers to reservoirs: seasonal and longitudinal perspectives

Figure 4. Gonadal maturation stage of migratory species during the wet (right side) and dry (left side) seasons in each group. Groups formed in the system by gonadal maturation stage: 1) immature, 2) initial maturation, 3) mature; 4) post-spawning.

Figure 1 in Migratory fishes from rivers to reservoirs: seasonal and longitudinal perspectives

Figure 1. Geographic location and sampling sites in the Grande River Basin, Minas Gerais.Riv: River; Trans: Transition, Cam: Camargos UHE; Itu: Itutinga UHE. More sampling sites details in Table 2.

Figure 3 in Migratory fishes from rivers to reservoirs: seasonal and longitudinal perspectives

Figure 3. Distribution of migratory fishes during wet (blue) and dry (red) seasons along the sampled system. Represented by adults (ball) and juveniles (square) in both seasons. The symbol size indicates fish abundance.

Figure 2 in Migratory fishes from rivers to reservoirs: seasonal and longitudinal perspectives

Figure 2. Variation (median ± interquartile range and amplitude) along the groups: (A) fish richness; (B) fish numeric abundance; (C) fish abundance.

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Fig. 6 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris

Fig. 6 First (a) and second (b) phase of the tongue prehension mode shown in Fig. 4a. The time axes are normalized to percentages of corresponding phase duration. Both phases can, therefore, be directly compared to the kinematic profiles shown in Fig. 4. Note the striking similarities of movement patterns of the second phase (b) and the aquatic feeding patterns shown in Fig. 4a, b, c

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Fig. 5 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris

Fig. 5 Significant correlation plots of kinematic variables. The feeding modes are color*coded: blue (a, b) suction feeding in the aquatic stage, liVWt brown (c, d), jaw prehension in the aquatic stage, and Vreen (e–l)

Including non-growing season emissions of N2O in US maize could raise net CO2e emissions 31% annually: Code and supporting data

Buma B. 2024. "Including non-growing season emissions of N2O in US maize could raise net CO2e emissions 31% annually," Agriculture and Environmental Letters. Code, county level nitrogen application data, and maize off-season emission factor ratio.  For the citations for both the county level data and the maize data, see the manuscript.  Both datasets are also publicly available from their respective citations, but included here for ease of review.

FIGURE 5 in Diversity, seasonal and diel distribution of snappers (Lutjanidae: Perciformes) in a tropical coastal inlet in the southwestern Gulf of Mexico

FIGURE 5 | Number of individuals captured of the two most abundant species, Lutjanus griseus and L. synagris, according to a salinity gradient.

FIGURE 4 in Diversity, seasonal and diel distribution of snappers (Lutjanidae: Perciformes) in a tropical coastal inlet in the southwestern Gulf of Mexico

FIGURE 4 | Canonical Correspondence Analysis tri-plot of species, samples (months represented by numbers; letters "a" and "b" represent night and twilight samples, respectively, and the absence of letter represents daytime samples) and environmental variables (arrows). Diel periods were considered to be in a light-dark gradient in an ordinal scale with values of 2 (day), 1 (twilight), and 0 (night).

FIGURE 3 in Diversity, seasonal and diel distribution of snappers (Lutjanidae: Perciformes) in a tropical coastal inlet in the southwestern Gulf of Mexico

FIGURE 3 | Mean number and standard error of Lutjanus griseus abundance by hour of day at the inlet of La Mancha lagoon.

FIGURE 2 in Diversity, seasonal and diel distribution of snappers (Lutjanidae: Perciformes) in a tropical coastal inlet in the southwestern Gulf of Mexico

FIGURE 2 | Monthly variation of: A. Mean and standard error values of the three most abundant lutjanid species, and B. Values of the main environmental conditions studied in the study area.

Figure 10 in Seasonal and Interannual Variability of the Barents Sea Temperature

Figure 10. Interannual variability of the North Atlantic Current Index (red) and monthly average temperature anomalies of the Barents Sea (blue) at a depth of 5 meters for the period 1948-2016. after applying the Butterworth bandpass filter from 12 to 16 years (above), and the cross-correlation picture of their material transformations without filtering (below). Preliminary removal of linear trends, centering and normalization of the series to their standard deviations were performed.

Figure 5 in Seasonal and Interannual Variability of the Barents Sea Temperature

Figure 5. Changes in the monthly average temperature anomalies of the Barents Sea at depths of 5 meters (above) and 105 meters (below) for the period 1948-2016, smoothed by 2-year (orange) and 7-year (purple) low-frequency Butterworth filters. Their linear trend is shown by blackline and the accumulated sum of anomalies after the removal of the linear trend by a green line. The circles indicate the average values of the anomalies for the warm (May-October) (red) and cold (November-April) (blue) seasons.

Figure 7 in Seasonal and Interannual Variability of the Barents Sea Temperature

Figure 7. Pictures of the wavelet transform of the monthly average temperature anomalies of the Barents Sea at depths of 5 meters (above) and 105 meters (below) for the period 1948 -2016. The preliminary normalization of the series to their standard deviations was made.

Figure 8 in Seasonal and Interannual Variability of the Barents Sea Temperature

Figure 8. Interannual variability of the Global Atmospheric Oscillation Index (red) and monthly average temperature anomalies of the Barents Sea (blue) at a depth of 5 meters for the period 1948-2016 after applying the Butterworth bandpass filter from 2 to 7 years (above), and the cross-correlation picture of their material transformations without

Figure 4 in Seasonal and Interannual Variability of the Barents Sea Temperature

Figure 4. Changes in the monthly average temperature of the Barents Sea (red) and their linear trend (blue) at depths of 5 meters (above) and 105 meters (below) for the period 1948-2016.

Figure 3 in Seasonal and Interannual Variability of the Barents Sea Temperature

Figure 3. Fields of changes in the average monthly temperature of the Barents Sea (°C over 10 years) at depths of 5 meters (above) and 105 meters (below) calculated from the linear trends of its monthly average anomalies for 1948 - 2016.