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Table 1.

Index of the studies from which the size-fractionated chlorophyll a and temperature measurements were taken.

All data were compiled by [4].

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Table 1 Expand

Fig 1.

Relative errors of the temperature-independent model, plotted as a function of temperature.

The three coloured lines in each plot represent linear (blue), quadratic (green) and exponential (red) functions that were fit to the residuals as a function of temperature (Table 2). The dashed black lines indicate the fit of the exponential function, with the exclusion of all observations taken below either 15 or 40 m depth. Data were generously made available by E. Marañón [4].

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Fig 1 Expand

Table 2.

Coefficients and goodness-of-fit statistics for the functions fit to the temperature-independent model residuals (ϵs), as shown in Fig 1.

Goodness-of-fit metrics: SSE = Sum of Squared Errors; r2 = coefficient of determination (significant at p = 0.01); RMSE = Root Mean Squared Error.

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Table 2 Expand

Fig 2.

Absolute (left) and relative (right) chlorophyll a biomass in (a,d) picoplankton, (b,e) nanoplankton and (c,f) microplankton size-classes, as a function of total chlorophyll a (x-axis) and temperature (colours).

The thick black lines represent the best-fit temperature-independent functions (Eq 1). The coloured lines represent the best-fit temperature-dependent functions (Eq 2) at discrete temperatures (see legend).

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Fig 2 Expand

Table 3.

Coefficients and goodness-of-fit statistics for the temperature-independent (Eq 1) and temperature-dependent (Eq 2) functions.

pSSE = predictive SSE from cross-validation experiment; AIC = Akaike Information Criterion. Coefficients of determination are significant at p = 0.01.

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Table 3 Expand

Fig 3.

Relative error of the temperature-dependent and temperature-independent functions when used to predict size-class biomasses for independent, unassimilated observations.

Dots represent the mean temperature and geometric mean relative error for each data subset, with error bars showing ±1 standard deviation for temperature, and 1 geometric standard deviation for the relative error.

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Fig 3 Expand

Fig 4.

Satellite-derived estimates of annual mean surface chlorophyll a biomass in three phytoplankton size classes.

Panels (a-c): Temperature-independent functions (Eq 1). Panels (d-f): Temperature-dependent functions (Eq 2). Panels (g-i): Relative change in biomass attributable to temperature, calculated by removing the two chlorophyll-dependent terms from Eq 2.

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Fig 4 Expand

Fig 5.

Satellite-derived estimates of the fractional contribution of the three phytoplankton size classes to annual mean total surface chlorophyll a biomass.

Panels (a-c): Temperature-independent functions (Eq 1). Panels (d-f): Temperature-dependent functions (Eq 2).

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Fig 5 Expand

Fig 6.

Four satellite-derived estimates for the zonal geometric mean surface chlorophyll a biomass (1 geometric standard deviation) in (a) picoplankton, (b) nanoplankton, and (c) microplankton size classes.

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Fig 6 Expand