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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Vegetation S...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Vegetation Science
Article . 2022 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Silicicolous lichen communities of the Ukrainian Crystalline Shield

Authors: Alexander Khodosovtsev; Valerii Darmostuk; Oleh Prylutskyi; Anna Kuzemko;

Silicicolous lichen communities of the Ukrainian Crystalline Shield

Abstract

AbstractQuestionsHow many different silicicolous lichen syntaxa occur on the Ukrainian Crystalline Shield and what ecological factors are influencing their distribution?LocationUkrainian Crystalline Shield, Steppe and Forest–Steppe zones, Ukraine.MethodsThe field research was performed during 2013–2020. Analysis was done with the JUICE software using agglomerative hierarchical cluster analysis in the integrated PC‐Ord with data transformation, pseudospecies cut levels 0–5–25, distance measure – Jaccard, group linkage – Ward's method. For the ordination of the plots we used detrended correspondence analysis (DCA) and non‐metric multidimensional scaling (NMDS) with the “envfit” function, implemented in the R package vegan. As environmental variables we used mean indicator values obtained for each species from the ITALIC database. A generalized synoptic table, which combined both our own and literature data, was clustered using Euclidean distances and the Ward error sum of squares hierarchical clustering method with Ward's criterion.ResultsSeven clusters were obtained after JUICE analysis based on 197 relevés of lichen communities that included 119 lichen species. The main axis in both DCA and NMDS ordination is similar to the vector of substrate pH value. Communities on overhanging surfaces are acidophilous. Communities of water tracks are moderately basophilous to basophilous. Other communities included relevés on different granite characterized as mainly neutrophilous. Lichen communities on siliceous rocks of the Ukrainian Crystalline Shield are assigned to the classes Rhizocarpetea geographici, Leprarietea chlorinae, and Collematetea cristati. Two new alliances (Aspicilion intermutantis and Staurothelion frustulentae), four new associations and three subassociation are described.ConclusionSilicicolous lichen communities of the Ukrainian Crystalline Shield differ from the known units of Central Europe by species composition, where lichens with arid ecology are present. Their local distribution depends mainly on a combination of substrate pH, degree of eutrophication, protection from rain, and substrate moisture.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
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