Preliminary data on the frequency and distribution of Hungarian bryophytes, based on 'recent' (1974-2022) records

Peter Erzberger, Janos Csiky, Kornel Barath, Abel Beranek, Judit Deme, Gabriella Fintha, Gusztav Jakab, Gabor Matus, Attila Mesterhazy, Jozsef Nagy, Zoltan Nagy, Csaba Nemeth, Tamas Pocs, David Schmidt, Andras Schmotzer, Peter Szucs, Matyas Wolf, Beata Papp

JOURNAL OF BRYOLOGY(2023)

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Abstract
IntroductionThe bryophyte flora of Hungary was relatively well studied during the twentieth century, but data on the present-day frequency and geographical distribution of Hungarian bryophytes are lacking. We present here our preliminary results based on recent fieldwork and herbarium studies.MethodsWe recorded bryophyte occurrences in grid cells (quadrants) of approximately 5.5 x 6 km. Frequency was determined based on the number of quadrants, and geographical distribution evaluated in terms of the 19 administrative units (counties) of the country. To investigate correlations between species richness and relevant environmental drivers, statistical analyses were carried out.Key resultsA total of 698 bryophyte taxa (2 hornworts, 151 liverworts and 545 mosses) have been found in the territory of Hungary. For each of the 637 taxa that have been observed since 1973, one of five frequency classes (very common, common, sporadic to frequent, rare, and very rare) has been assigned based on the relevant number of field records or herbarium specimens. Additionally, tabular distributional information (occurrence in each of the 19 counties) is presented for each taxon. In the statistical evaluation of the geographical distribution data, the elevational range and the size of the surveyed area were positively correlated with bryophyte richness, whereas arable land cover was negatively correlated.ConclusionsAlthough the survey was not uniform or complete across the different counties, the results support some robust bryogeographical theories. We hope to have the opportunity in the near future to compile a new Hungarian bryophyte Red List, partly based on these national frequency data.
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