PREDICTING THE TROPHIC STATUS OF SOME LAKES OF KAZAKHSTAN

<p>A method for predicting the lake trophic status relying on wintertime monitoring data was developed.<strong> </strong>The technique is based on A. G. Volokhonskii’s approach, according to which the values of the minimum energy costs calculated for the virtual model of the proces...

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Bibliographic Details
Main Authors: Grigory Frumin, Yulia Krashanovskaya
Format: Article
Language:English
Published: Karelian Research Centre of the Russian Academy of Sciences 2015-10-01
Series:Transactions of the Karelian Research Centre of the Russian Academy of Sciences
Subjects:
Online Access:http://journals.krc.karelia.ru/index.php/limnology/article/view/47
Description
Summary:<p>A method for predicting the lake trophic status relying on wintertime monitoring data was developed.<strong> </strong>The technique is based on A. G. Volokhonskii’s approach, according to which the values of the minimum energy costs calculated for the virtual model of the process of involving mineral nutrients in phytoplankton cells are universal criteria of these nutrients’ availability to phytoplankton. Statistically significant one-parameter linear dependence between the average annual concentration of total phosphorus (P<sub>t</sub>) and the values of minimum energy costs (<em>Ep</em>), which characterize mineral phosphorus levels in February, was detected. A classification of the trophic status of lakes ofKazakhstan depending on the values of the minimum energy costs of mineral phosphorus in February was developed.</p>
ISSN:1997-3217
2312-4504