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Current and historical occurrence as well as coenotic affinity and ecology of Carex secalina in the Czech Republic and Slovakia are presented. The study is based on revision of herbarium specimens from 25 herbaria, literature data excerption and a field survey carried out during 2004-2010. Altogether, 168 sites were documented in the Czech Republic divided to two separate areas. Stabile occurrence trend was found in last decades, because 45 localities were documented in period 1975-1999 (27% of sites) and recent occurrence was confirmed at 42 localities (24% of sites). On the basis of our current knowledge the species was included into the IUCN threat category VU (vulnerable). In Slovakia, 19 localities of the species were recorded in total, but only 4 sites were confirmed recently (21% of sites recorded). However, only a small number of individuals was recorded there (less than 50 individuals in total) and half of this sites is acutely threatened by destruction (ploughing, secondary succession). Therefore, the C. secalina status in the Slovak Red List was changed to the IUCN category “critically endangered” (CR). Results of the study are summarised in the maps of historical and current species distribution. C. secalina usually occurred in halophytic grassland communities, especially in association Agrostio stoloniferae-Juncetum ranarii Vicherek 1962. However, it may occur in many other communities which suggest that the species had not well-defined coenotic relationships. On the basis of our knowledge, we consider C. secalina as an obligate halophyte.
Vegetation of deciduous forests in the Štiavnické vrchy Mts (Central Slovakia) was studied using the standard Zürich-Montpellier approach. The numerical classification and ordination technique were applied to determine the main forest vegetation types and to find the responsible environmental drivers related to their distribution patterns, respectively. The data set including 198 relevés collected by authors in 1997-2009 and 185 relevés excerpted from literature was used to analysis. Numerical classification resulted in delimitation of fourteen vegetation types representing eleven associations with two variants and two communities within the Quercetea roboripetraeae and Querco-Fagetea classes. The major environmental gradients in variation of forest species composition were associated with moisture and nutrient content following the average Ellenberg indicator values. Along the moisture gradient, vegetation types were ordered from subxerophilous oak forests turn mesophilous mixed oak-hornbeam, beech and ravine forests to hygrophilous riparian alder forest. The results confirmed important role of soil nutrients and moisture by determination of forest vegetation in subcontinental part of Central Europe. Special attention was given to the discussion of floristical characteristics, site conditions and syntaxonomy.
Aquatic vegetation of the mountains and sub-alpine ponds in the Tatra Mountains and adjacent area (Slovakia) has been studied with the aim to provide information about the composition and species richness of macrophytes in relation to environmental factors. Macrophytes were studied in two pond groups: natural ponds of glacial origin and artificial ponds. Simultaneously, eight environmental variables were measured or estimated at each pond. The studied pond groups differed significantly (Mann-Whitney U-test, P<0.01) in almost all recorded environmental variables except for water temperature and pond area. Almost all environmental characteristics showed higher variability in the artificial ponds. In total, 70 macrophyte taxa were found at the study sites consisting of ca 90% of vascular plants and ca 10% of bryophytes. Artificial ponds were characterised by a multi-element vascular plant species group typical for marshy and aquatic habitats of lower altitudes, while Carex rostrata was the only species typical for natural ponds. Species richness differed significantly between the two pond groups, with artificial ponds hosting considerably more species. Species richness of all studied ponds was negatively correlated with altitude and precipitation; a positive relationship was found with water pH and conductivity, air temperature, and degree of human impact. The species composition of ponds was affected mainly by precipitation and human impact.
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