Analysis of Relations between Communities of Hydrobionts in Saline Rivers by Multidimensional Block Ordination

• Published in: Inland water biology 2019-12, Vol.12 (Suppl 2), p.104-110
• Main Authors: Zinchenko, T. D., Shitikov, V. K., Golovatyuk, L. V., Gusakov, V. A., Lazareva, V. I.
• Format: Article
• Language: English
• Subjects: Algorithms; Aquatic environment; Arid regions; Arid zones; Benthic communities; Benthos; Biodiversity; Biomedical and Life Sciences; Biotopes; Consortia; Correlation; DIABLO protein; Ecological effects; Environmental conditions; Freshwater & Marine Ecology; Geoecology/Natural Processes; Graphs; Lakes; Life Sciences; Mathematical analysis; Meiobenthos; Meiofauna; Methods of Investigations; Mineralization; Ordination; Plankton; Rivers; Species; Statistical analysis; Statistical methods; Surveys; Zoobenthos; Zooplankton
• ISSN: 1995-0829; 1995-0837
• DOI: 10.1134/S1995082919040175

We present the results of a comprehensive study of five saline rivers in the arid region of Lake Elton, including hydrobiological surveys of plankton and benthic communities. The DIABLO method was used for a statistical analysis of the associative links between the species structures of the macrozoobenthos, meiobenthos, and zooplankton communities. This method combines multidimensional ordinations based on n blocks of observations and uses special algorithms of canonical correlation. It is shown that a significant portion of the cumulative variation in the data can be explained by a consensus configuration based on information common for all the three groups of observations. The diagrams, constructed and analyzed with the use of the cluster and Generalized Procrustes analysis, enable us to isolate stable associations of taxa typical for particular biotopes with homogeneous environmental conditions. We have constructed graphs of correlation pleiades and calculated indicator significance for particular species of macrozoobenthos, meiobenthos, and zooplankton. It is shown that highly mineralized systems of arid regions are not always characterized by a pronounced specification of life forms of plankton and benthic communities. The interpenetration between benthic and plankton animals results in a high portion of mixed ecological groups. Plankton and benthic communities correlate well enough with each other, which testifies to a close relationship between them due to both biotic interactions and a mutually agreed response to changes in aquatic environment factors. These data enable us to consider the plankton and benthic communities of highly mineralized rivers a nonequilibrium dynamically changing consortia of species.