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Physical Oceanography
Article . 1998 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Modelling of the Sea of Azov ecosystem

Authors: I. E. Timchenko; V. D. Yarin; E. F. Vasechkina; E. M. Igumnova;

Modelling of the Sea of Azov ecosystem

Abstract

The method of mathematical model self-organization is applied to handle observations of the hydrological, chemical and biological parameters of the Sea of Azov, conducted from 1926 through to 1985, in order to identify model equations of the latter's ecosystem. A set of 43 evolutionary equations have been employed to generate a picture of the ecosystem parameters' continuous variability and to identify relationships between them. Model calculations of the total catch of freshwater fishes, primary productivity, zoobenthos, phytoplankton, and other characteristics have demonstrated their being in good agreement with the observations conducted from 1950 to 1985. A prediction of the ecosystem parameters' evolution for the period from 1985 to 1995 has been made.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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