On application of the orthogonal distance method to Onego Lake plankton seasonal cycling modelling

On application of the orthogonal distance method to Onego Lake plankton seasonal cycling modelling This paper proposes a new approach to describing of Onego Lake plankton seasonal dynamics. The approach is based on the construction of the nonlinear regression measurement error models by virtue of the orthogonal distance method. The models describe average long-term plankton characteristics for every day of vegetative period, enable identify the main seasonal phenomena dates and evaluate annual and long-term plankton variability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Ecology Springer Journals

On application of the orthogonal distance method to Onego Lake plankton seasonal cycling modelling

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Publisher
SP MAIK Nauka/Interperiodica
Copyright
Copyright © 2013 by Pleiades Publishing, Ltd.
Subject
Life Sciences; Ecology; Environment, general
ISSN
1067-4136
eISSN
1608-3334
D.O.I.
10.1134/S1067413613020112
Publisher site
See Article on Publisher Site

Abstract

This paper proposes a new approach to describing of Onego Lake plankton seasonal dynamics. The approach is based on the construction of the nonlinear regression measurement error models by virtue of the orthogonal distance method. The models describe average long-term plankton characteristics for every day of vegetative period, enable identify the main seasonal phenomena dates and evaluate annual and long-term plankton variability.

Journal

Russian Journal of EcologySpringer Journals

Published: May 15, 2013

References

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