Modelling marine phytoplankton growth under eutrophic conditions

Comparisons are made between the behaviour of Monod, Shuter, different quota model formulations and a mechanistic model of algal physiology containing a full photoacclimative component (MAP2), All models were tuned so that for a notional diatom and a non-diatom under steady-state single factor (light, N, R SO limitation outputs were comparable. Each model, simulating diatom and non-diatom in competition, was then run within a simple dynamic ecosystem scenario, Even after some additional tuning to optimise the phytoplankton N:P:Si within the dynamic scenario. the Monod and Sinner models gave unrealistic descriptions of nutrient consumption, this is because the control of all nutrient Uptake is keyed to the most limiting nutrient in these models. A model in which all three nutrients were described by quota terms performed even worse, using previously accumulated Si to incorrectly support diatom growth in the absence of external Si, These events have important implications for the simulated growth of subsequent generations of phytoplanklon, The more complex quota and MAP2 models, both of which used a Monod-type term for Si-limitation, differed primarily in the use of a simple light-growth curve in the former versus a photoacclimation ability with chl:C as a state-variable in the latter. These models behaved ill a similar but not exactly the same way. A comparison between the C-biomass output of MAP2 with transformed estimates of biomass, from chl, assuming a fixed chl:C or chl:N, suggested potential for a serious under or over estimation of phytoplankton growth in models configured against real data assuming fixed chl:biomass ratios. It is recommended that for simulations of phytoplankton production in eutrophic conditions, which invariably involve multi-nutrient light interactions, simple phytoplankton models are not used and that if possible a photoacclimative (or at least a variable chl:Biomass) function should he employed to control the light interaction and provide a direct simulation of chl. (c) 2005 Elsevier B.V. All rights reserved.