Extended Data Fig. 7: GAM-model diagnostics of ambient temperatures during spawning migration. | Nature

Extended Data Fig. 7: GAM-model diagnostics of ambient temperatures during spawning migration.

From: Herring spawned poleward following fishery-induced collective memory loss

Extended Data Fig. 7

Temperature data were analysed from three monitoring stations (Bud, Eggum and Ingøy) located at different latitudes along the Norwegian shelf (Extended Data Fig. 5a). Data were collected over a 30-year period (1995–2024) from 15 January through March at depths 50–200 m, representing water masses experienced by adult herring on spawning migration and their incubated eggs until peak hatching. A GAM model was fitted separately to data from each of the three monitoring stations: Temp ~ s(Year, k = 17) + s(DayOfYear, k = 5) + s(Depth, k = 5). All three models, Bud (n = 642, R2 = 0.743, p < 0.001), Eggum (n = 1162, R2 = 0.720, p < 0.001) and Ingøy (N = 1032, R2 = 0.589, p < 0.001) as well as their intercepts and smoothers (DayOfYear, Depth, Year, p < 0.001) were highly significant. Output: a, Distribution of raw data over day of year for the three models. b, c, d Partial effects of smoother terms at their covariate means (values inside each panel, DayOfYear = Doy) with 95% CIs. e, f, Model diagnostic plots showing e, fitted values versus residuals and f, QQ plots.

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