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A mathematical model of the nutrient dynamics of phytoplankton in a nitrate‐limited environment
40
Citations
22
References
1973
Year
BiologySaturation KineticsBiogeochemistryNitrate‐limited EnvironmentCustomary Monod ModelIntracellular Nutrient PartitioningEngineeringEutrophicationBloom EcologyNutrient CycleMathematical ModelMarine SystemsNutrient StoichiometryPhotosynthesisPhytoplankton EcologyOceanic SystemsNutrient Dynamics
Abstract Insofar as saturation kinetics are applicable to the growth of phytoplankton in laboratory experiments and to growth in nature, the computer modeling of intracellular nutrient partitioning in populations of cells can lead to better understanding of the dynamics of natural populations. A three‐compartment mathematical model was developed to represent a phytoplankton population having the capability to store nitrogen in a nitrate‐limited environment. Parameters were estimated by fitting the model to data from two chemostat experiments reported by Caperon (1968). The model was used to simulate growth dynamics observed in chemostat and batch experiments. The model demonstrated the changes which may occur in the nitrogenous constituents of a phytoplankton population with time and environmental conditions. The model also demonstrates three phenomena which have been observed in field and laboratory experiments but which are not represented by the customary Monod model: (1) uptake rates may significantly exceed not growth rates, (2) high growth rates may be encountered at very low environmental nitrate concentrations, and (3) the ratio of internal nitrogen to population size may change significantly during a study period. It is suggested that the amount of nitorgen in storage may be used as an indicator of the physiological state of a monospecific population. Parameters for the one‐compartment Monod model were estimated by customary methods form data generated by the three‐compartment model. It was shown that difficulties encountered in estimating the yield coefficient and the decay coefficient may be attributed to the intracellular storage phenomenon. It was also demonstrated that the one‐compartment Monod model was inadequate to accurately represent population growth in chemostat experiments when intracellular storage is a significant factor.
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