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Estimates of the biocomplexity indicator

In the common case, indicator reflects the level of complexity of the Okhotsk Sea ecosystem. A change in is realized as a consequence of migration processes and of variability in nutritive interactions. Sub-system B2o plays the role in these processes of an external source of change in other components. These changes are interpreted in terms of fishing and other impacts causing variations in component biomasses. [Pg.411]

It can be established that the variability in reflects the changes of fish concentrations which are controlled by environmental conditions. Specifically, during the springtime Clupeapallasi escapes occupy the area with Tw 5°C. Other fishes have a preferred depth for their feeding and spawning (Terziev et al., 1993). All these processes exert an influence on the variability of . A more detailed investigation of the correlations between the value of and the structural and behavioral dynamics of the Okhotsk Sea ecosystem requires additional studies. [Pg.411]

This section introduced a methodology to move from a verbal description of biocomplexity to its numerical representation. In future studies it will be necessary to take into consideration bottom relief, climate trends, ice field dynamics, detailed components of the trophic pyramid, bottom sediments, and the structure of currents. Also, it will be necessary to add to Formula (6.31) elements describing anthropogenic impacts on the ecosystem considered in a socio-economic sense. [Pg.411]

Studies of the climate-forming processes in the Arctic, characterized by isolation of the ocean from the atmosphere by the ice cover, have long been of particular concern. [Pg.411]

The most important impacts of sea ice on climate, as revealed through numerical modeling, are the following  [Pg.412]


Table 6.22. Estimates of the biocomplexity indicator for different layers in the spring-summer season and in winter. Table 6.22. Estimates of the biocomplexity indicator for different layers in the spring-summer season and in winter.



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Biocomplexity

Estimation, indicators

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