Fig. 9: Seasonal hotspots based on Principal Component Analysis (PCA). | Nature Communications

Fig. 9: Seasonal hotspots based on Principal Component Analysis (PCA).

From: Near-global spawning strategies of large pelagic fish

Fig. 9

a, b January–March (r2PC1 = 0.30; r2PC2 = 0.14); c, d April–June (r2PC1 = 0.30; r2PC2 = 0.17); e, f July–September (r2PC1 = 0.22; r2PC2 = 0.15); and g, h October–December (r2PC1 = 0.31; r2PC2 = 0.14). The left column shows PC1 scores (a, c, e, g) and the right column shows PC2 scores (b, d, e, h). Below each panel is a summary of the correlation of the PC axes with the seasonal probability maps of each taxon. Grids of taxa are color-coded depending on the absolute value of their Spearman correlation coefficients: high are red (≥0.6 or ≤ −0.6); moderate are cream (0.3 to 0.6 or −0.6 to −0.3); and low are blue (−0.3 ≥ and ≤0.3).

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