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Title | Spatial Distribution of Ciliate Assemblages in a Shallow Floodplain Lake with an Anaerobic Zone |
Authors |
Babko, R.
Kuzmina, Tetiana Mykolaivna Danko, Y. Pliashechnyk, V. Szulżyk-Cieplak, J. Lazuka, E. Zaburko, J. Lagod, G. |
ORCID | |
Keywords |
ciliated protozoa spatial distribution structure anaerobic conditions floodplain lake bioindication |
Type | Article |
Date of Issue | 2022 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/87825 |
Publisher | MDPI |
License | Creative Commons Attribution 4.0 International License |
Citation | Babko, R.; Kuzmina, T.; Danko, Y.; Pliashechnyk, V.; Szulżyk-Cieplak, J.; Łazuka, E.; Zaburko, J.; Łagód, G. Spatial Distribution of Ciliate Assemblages in a Shallow Floodplain Lake with an Anaerobic Zone. Water 2022, 14, 898. https://doi.org/10.3390/w14060898 |
Abstract |
The spatial distribution of ciliate assemblages was studied in a shallow floodplain lake with a sharp division of space by oxygen conditions. The surface zone occupied by the “carpet” of Lemna trisulca and L. minor was characterized by a large daily amplitude of oxygen content with periodic exceeding of 100% of saturation; the underlying water layer was characterized by microaerobic conditions throughout most of the year, with seasonal deviations towards oxygen-free conditions (in winter and mid-summer) or increased oxygen content (before freezing and after ice melt); stable oxygen-free conditions were maintained in the bottom layer of water and at the bottom of the lake. There were 111 species of ciliated protozoa recorded in the lake. The ciliated protozoa were clearly structured and formed three almost non-overlapping assemblages in terms of species composition, which retained their isolation during all seasons of the year. On the basis of the analysis performed using the R indicspecies package, species of ciliated protozoa were identified as indicators of conditions with different oxygen regimes, which are determined by the level of organic pollution and the distribution of photosynthetic organisms. |
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Babko_et_al_Spatial_Distribution_2022.pdf | 4.58 MB | Adobe PDF | 655773 |
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