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Microbial Ecology

, Volume 77, Issue 1, pp 37–55 | Cite as

Why Do Testate Amoeba Optima Related to Water Table Depth Vary?

  • Irina V. KurinaEmail author
  • Hongkai Li
Environmental Microbiology

Abstract

This study focusses on the ecology of testate amoeba species in peatlands of the southern taiga of Western Siberia. To estimate the influence of the trophic state of mires on species optima related to water table depth, a separate study of three calibration datasets including ombrotrophic, minerotrophic and the combined habitats was conducted. In the datasets obtained separately from ombrotrophic and minerotrophic mires, the water table depth was the main factor affecting testate amoeba assemblages. However, the trophic state (specifically pH and ash content) was more important factor in the combined dataset, including all of the studied mires. For 36 testate amoeba species, which were found in the ombrotrophic and minerotrophic mire habitats, their species optima, obtained separately in ombrotrophic and minerotrophic datasets, differed significantly from each other. Some of these species preferred minerotrophic conditions, while others preferred ombrotrophic ones. For all species, the trophic state of the mires affected the values of the species optima related to water table depth, as revealed in the form of a threshold effect. In extreme conditions, the species were more sensitive to the trophic status than to the water table depth, and their optimum related to water table depth was distorted. Variation of the optimum was observed in those species that inhabited both ombrotrophic and minerotrophic mires due to the fact that mires with a different trophic status were included in the training sets. The optima did not vary for species inhabiting only ombrotrophic or only minerotrophic mires.

Keywords

Transfer function Bog Ombrotrophic Minerotrophic Mire Peatland 

Notes

Acknowledgments

We thank Anatoly Bobrov for his assistance with the identification of certain testate amoeba species as well as Andrei Tsyganov and Danil Barashkov for some calculations and valuable comments during the preparation of the manuscript.

Funding Information

This work was funded by the Russian Foundation for Basic Research (grant no. 16-34-60057).

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Laboratory of Monitoring of Forest EcosystemsInstitute of Monitoring of Climatic and Ecological Systems Siberian Branch of the Russian Academy of SciencesTomskRussia
  2. 2.State Environment Protection Key Laboratory of Wetland and Vegetation RestorationNortheast Normal UniversityChangchunChina

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