Publication details

Testing floristic and environmental differentiation of rich fens on the Bohemian Massif

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Authors

PETERKA Tomáš PLESKOVÁ Zuzana JIROUŠEK Martin HÁJEK Michal

Year of publication 2014
Type Article in Periodical
Magazine / Source Preslia
MU Faculty or unit

Faculty of Science

Citation
web http://www.preslia.cz/P144Peterka.pdf
Field Botany
Keywords Bohemian-Moravian Highlands; bryophytes; classification; gradients; ISOPAM; mire; Třeboň basin; vegetation
Description The south-eastern part of the Bohemian Massif is an important hotspot of fen biodiversity. Especially rich fens with calcium-tolerant peat mosses (the Sphagno warnstorfii-Tomentypnion alliance) currently harbour highly endangered organisms. In this study we gathered phytosociological and environmental data from 57 fens. Particular types of vegetation were nearly completely differentiated in the PCA of environmental data and all their pairs differed significantly with respect to pH, which together with calcium was correlated with the major vegetation gradient. The secondary gradient coincided with the concentration of nitrate and potassium, but was not apparent in the bryophyte subset. When only data for vascular plants were analyzed, the major gradient reflected increasing number of species from poor to extremely-rich fens, including ubiquitous grassland species, and only partially coincided with pH and calcium. In addition, particular vegetation types did not differ in the N:P ratio of bryophyte biomass. Species composition of extremely rich fens thus seemed to be determined predominantly by a high pH/calcium level and waterlogging, low iron concentration and absence of sphagna that would hamper regeneration of some competitively weak vascular plants. We demonstrated that the delimitation of the major vegetation types (alliances) along the poor-rich gradient makes great floristic and ecological sense also in the Hercynian Mountains and that pH and calcium rather than nutrient availability differentiate causally major vegetation types by determining structure of the moss layer.
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