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Transformations of Organogenic Substances in the White Sea Ecosystem: Assessment Based on the Results of Mathematical Modeling

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Abstract

Methods of systems analysis and mathematical modeling are used to generalize hydrological, hydrochemical, and hydrobiological observational data with the aim to study the biohydrochemical conditions of organic and biogenic substance transformations in eight water areas in the White Sea. A hydroecological model describing transformations of N, P, and Si compounds and dissolved organic C, as well as the regime of O2 was used as a means of the study. Water exchange between water areas was evaluated using a hydrodynamic model. Averaged data on annual variations in water temperature, illumination, and transparency, as well as run-off characteristics (water flow in river mouths and organic and biogenic matter concentrations in the river water entering the sea) were used to calculate the dynamics of organic and mineral compounds of nutrients in different areas of the sea. The principal attention is paid to the verification of the model against field observational data, assessment of the biomass development conditions of aquatic animals, analysis of model results regarding the turnover time of organic and mineral components, and the evaluation of balances of organic dissolved and particulate N and P forms.

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Authors and Affiliations

  1. Institute of Oceanology, Russian Academy of Sciences, Nakhimovskii prosp. 36, Moscow, 117851, Russia

    A. V. Leonov & O. V. Chicherina

  2. Institute of Water Problems of the North, Karelian Scientific Center, Russian Academy of Sciences, prosp. A. Nevskogo 50, Petrozavodsk, 188030, Russia

    N. N. Filatov

Authors
  1. A. V. Leonov
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  2. N. N. Filatov
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  3. O. V. Chicherina
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Translated from Vodnye Resursy, Vol. 32, No. 4, 2005, pp. 435–451.

Original Russian Text Copyright © 2005 by Leonov, Filatov, Chicherina.

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Leonov, A.V., Filatov, N.N. & Chicherina, O.V. Transformations of Organogenic Substances in the White Sea Ecosystem: Assessment Based on the Results of Mathematical Modeling. Water Resour 32, 393–409 (2005). https://doi.org/10.1007/s11268-005-0050-z

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  • DOI: https://doi.org/10.1007/s11268-005-0050-z

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