Time-series analysis of zooplankton diversity in upper reaches of the Ob River ...

Long-term data sets on various ecosystem parameters serve as the basis for environmental monitoring. Time series analysis is used to identify the structure of dynamic series and their prediction. The demographic characteristics of zooplankton are well suited to analyze seasonal and interannual chang...

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Bibliographic Details
Main Author: Burmistrova, Olga
Format: Article in Journal/Newspaper
Language:English
Published: Zenodo 2022
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Online Access:https://dx.doi.org/10.5281/zenodo.7729017
https://zenodo.org/record/7729017
Description
Summary:Long-term data sets on various ecosystem parameters serve as the basis for environmental monitoring. Time series analysis is used to identify the structure of dynamic series and their prediction. The demographic characteristics of zooplankton are well suited to analyze seasonal and interannual changes in ecosystems. Since the dynamics of species richness and river flow are often interdependent, we studied zooplankton biodiversity in the upper reaches of the Ob River in relation to the phases of the water regime. A six-year sampling of zooplankton was performed from surface water from the Ob River at two stations near the city of Barnaul. In total, 203 species and forms of zooplankton were detected. In all phases of the water cycle, Rotifera dominated in species number. To analyze the species diversity of zooplankton, we used 20 indices, of which 10 were not random on both coasts and could be used in monitoring. The species diversity of zooplankton in a sample, according to Margalef and Menhinick indices, was ... : The study was carried out as part of State Assignment of the Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences (No. 121031200178-8) and supported by RFBR grant (No. 20-05-00528). The author has declared that there are no competing interests. The author thanks A.V. Kotovshchikov for his assistance in field work, L.A. Dolmatova for providing hydrochemical data used in correlation analysis, and L.V. Yanygina for her valuable comments in writing this article. ...