Modeling phytoplankton production: problems with the Eppley curve and an empirical alternative

By M. Brush, J. Brawley, S. Nixon, J. Kremer. 2002

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Predicting marine phytoplankton maximum growth rates from temperature: Improving on the Eppley curve using quantile regression (2008, methodology): “Another 85 studies compare their results to the theoretical maximum expected from the curve (e.g., Durbin 1974; Admiraal 1977); of these, 62 had results similar to or below the curve, and 15 had results that exceeded the theoretical maximum (e.g., Brush et al. 2002).”
Does low temperature constrain the growth rates of heterotrophic protists? Evidence and implications for algal blooms in cold waters (2007, methodology): “Brush et al. (2002) noted published growth rates in excess of the Eppley curve.”
Temperature‐ and size‐scaling of phytoplankton population growth rates: Reconciling the Eppley curve and the metabolic theory of ecology (2017, methodology): “Eppley’s initial estimates of these parameters (a 5 0.59 and b 5 0.0633) have been updated using more data and rigorous quantile regression methods (a 5 0.81 and b 5 0.0613), the values we use throughout the rest of this paper (Table 1; Bissinger et al. 2008; but see also Brush et al. 2002).”