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  • Title: Modelling the spatial and temporal variability of the SW lagoon of New Caledonia I: a new biogeochemical model based on microbial loop recycling.
    Author: Faure V, Pinazo C, Torréton JP, Jacquet S.
    Journal: Mar Pollut Bull; 2010; 61(7-12):465-79. PubMed ID: 20667554.
    Abstract:
    This work is an extension and improved version of the biogeochemical model of the South-West lagoon of New Caledonia, presented by Bujan et al. (2000) and Pinazo et al. (2004). This new ecological model was developed to include an explicit description of the microbial loop. Additional variables included bacterial production and dissolved organic matter and a better description of organic matter recycling. A particular effort was made to calibrate parameters of the model for the studied area, using representative field measurements and experiments. The biogeochemical model described the nitrogen and carbon cycles relating the variable stoichiometry of the elements in each biological compartment. Several lagoon surveys demonstrated that, on average, the water column is nearly homogenous. We chose therefore to present in this paper non dimensional model outputs in order to study the behaviour of the new model. The addition of a microbial loop modified the simulated functioning of the lagoon and the fluxes of carbon and nitrogen between the different compartments: it allowed a better description of the recycling of organic matter, recognized as important processes in oligotrophic ecosystems like in the SW lagoon of NC. A sensitivity analysis was performed in order to identify the most sensitive parameters and variables of the model. The different results emphasised the importance of the dissolved inorganic and organic compartment. Preliminary comparisons with field data showed that the model reproduced realistic values. However, the next important step of this work was to dynamically couple this new biogeochemical model in a 3D hydrodynamical model in order: (1) to perform a realistic validation with in situ data (2) to achieve an analysis of the spatial and temporal variability of the ecosystem. This study is presented in the companion paper (Faure et al., 2010).
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