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A Monod (1942) model was used to describe the interaction and dynamics between marine bacteria and labile-dissolved organic carbon (l-DOC) using data obtained from 36 biodegra- dation experiments. This model is governed by 2 state variables, DOC and bacterial biomass (BB), and 3 parameters, specific maximum assimilation rate (Vmax), half-saturation constant (KS) and bac- terial growth efficiency (BGE). The calibrations were obtained from biodegradation experiments carried out in the Northeast Atlantic Ocean over different seasons and at different depths. We also conducted a sensitivity analysis to determine (1) which parameter had the greatest influence on the model, and (2) whether the model was robust with regard to experimental errors. Our results indicate that BGE is greater in surface layers than in deeper waters, with minimum values observed during winter. In contrast, the Vmax/KS ratio is inversely dependent on depth and does not show any seasonal trend. This reflects an increase in bacterial affinity for substrate with increasing depth (decrease of KS) and/or better specific maximum assimilation rates (increase of Vmax). The sensitivity and robust- ness analyses demonstrate that the model is more sensitive to the Vmax/KS ratio than to BGE, and that the parameters estimated are reliable. However, although the BGE values are close to those esti- mated experimentally, the use of a constant Vmax/KS ratio and BGE in a 1-dimensional model is not appropriate as these parameters should be described as variables that take depth and season into account.

Modelling DOC assimilation and bacterial growth efficiency in biodegradation experiments: a case study in the Northeast Atlantic Ocean