| Anotácia | The main aim of this paper was to test the national electronic expert system for grassland classification in Slovakia as a tool for grassland classification on a regional data set from an area with high vegetation diversity. The study region comprised five orographic units located in central Slovakia (Starohorské vrchy Mts., Kremnické vrchy Mts., Veľká Fatra Mts., Nízke Tatry Mts. and Zvolenská kotlina Basin). The data set included 411 phytosociological relevés of all grassland types (xero-, subxero- and mesophilous grasslands as well as wet and fen meadows), recorded by the authors between 1980 and 2007. The relevés were classified to associations by the expert system formulated for the Slovak grassland vegetation either according to association definitions or (in case of relevés not matching any association definition) according to the Frequency-Positive Fidelity Index (FPFI). Wetland relevés were classified according to results of a cluster analysis. Diagnostic species from the regional data were compared to diagnostic species derived at the national level from the data including all vegetation units in Slovakia. According to the results, 49% of the relevés classified by the expert system were matched by the association definitions. Xerophilous grasslands were classified within three alliances of the class Festuco- Brometea: Festucion valesiacae, Bromo pannonici-Festucion pallentis and Diantho lumnitzeri-Seslerion. The occurrence of these communities in the region is rare, restricted to rocky habitats and steep slopes with shallow soil over calcareous bedrock. Sub-xerophilous grasslands were classified within four associations belonging to the two alliances Cirsio-Brachypodion pinnati and Bromion erecti. In the study region, these communities are widely distributed mainly in areas built by calcareous bedrock. Mesophilous grasslands are the most common communities in the study region. They were classified within eight associations belonging to four alliances: Cynosurion cristati, Arrhenatherion elatioris and Polygono bistortae-Trisetion flavescentis (all of them belonging to the class Molinio-Arrhenatheretea) and Nardo strictae-Agrostion tenuis (belonging to the class Nardetea strictae). Wetland communities belonged to the classes Phragmito-Magnocaricetea (alliances Phragmition communis and Glycerio-Sparganion), Molinio-Arrhenatheretea (alliance Deschampsion cespitosae) and Scheuchzerio-Caricetea fuscae (alliance Caricion davallianae). The results demonstrate that the national expert system used can be successfully applied to a heterogeneous regional data set without discarding the particularities of the regional vegetation. The uniqueness of the regional vegetation is reflected in the set of diagnostic species determined at the regional level, which can differ strongly from those estimated at the national level
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VASSILEV, Kiril - PEDASHENKO, Hristo - VELEV, Nikolay - APOSTOLOVA, Iva. Grassland vegetation of ponor special protection area (Natura 2000), Western Bulgaria. In Acta zoologica Bulgarica. ISSN 0324-0770, 2014, no 5, pp. 61-73.
KLIMANTOVÁ, Alexandra. Grassland vegetation of Hodrušská hornatina highland in Central Slovakia. In Hacquetia. ISSN 1581-4661, 2017, vol. 16, no. 2, pp. 189-212.
ZARZYCKI, J. - BEDLA, D. The influence of past land-use and environmental factors on grassland species diversity. In Applied ecology and environmental research. ISSN 1589-1623, 2017, vol. 15, no. 4, pp. 267-278.
HEGEDUŠOVÁ, Katarina - KORZENIAK, Joanna - MAJEKOVA, Jana - STOICA, Adrian - COLDEA, Gheorghe - KUZEMKO, Anna - BUDZHAK, Vasyl - TOKARYUK, Alla - CHORNEY, Illya - SKODOVA, Iveta. Syntaxonomical revision of the Triseto flavescentis-Polygonion bistortaealliance in the Carpathians. In Plant biosystems. ISSN 1126-3504, 2020, vol. 155, no. 1, pp. 16-41.
DIVIAKOVÁ, Andrea - STAŠIOV, Slavomír - PONDELÍK, Radovan - PÄTOPRSTÝ, Vladimír - NOVIKMEC, Milan. Environmental and management control over the submontane grassland plant communities in Central Slovakia. In Diversity. ISSN 1424-2818, 2021, vol. 13, no. 1, pp. 1-14.
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