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Lesní vegetace Krumlovského lesa a okolí

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    0456100 - BÚ 2016 RIV CZ cze J - Journal Article
    Novák, P. - Roleček, Jan
    Lesní vegetace Krumlovského lesa a okolí.
    [Woodland vegetation of the Krumlovský les Forest and its surroundings.]
    Thayensia. Roč. 12, č. 1 (2015), s. 3-48. ISSN 1212-3560
    R&D Projects: GA ČR GB14-36079G
    Institutional support: RVO:67985939
    Keywords : phytosociology * plant recording * south-western Moravia
    Subject RIV: EH - Ecology, Behaviour

    Za účelem dokumentace a intepretace variability lesní vegetace Krumlovského lesa a okolí bylo zapsáno 150 fytocenologických snímků, které byly následně klasifikovány pomocí shlukové analýzy. Celkem bylo rozlišeno jedenáct vegetačních typů. Výsledky gradientových analýz naznačily, že hlavní gradient v druhovém složení studované vegetace je spojen s úživností stanoviště.

    Krumlovský les Forest and its surroundings (south-western Moravia, Czech Republic) comprise a large woody area on the south-eastern edge of the Bohemian Massif. Although the forests in the region are extensive and relatively well preserved, their ecology and species composition are poorly studied. Therefore, we conducted a field survey between 2011 and 2012, yielding 150 phytosociological relevés of local natural and semi-natural forest communities. Basic environmental variables (altitude, aspect, canopy cover, heat load index, slope, soil depth, soil pH) were also recorded in every relevé. Using cluster analysis (algorithm beta-flexible) the relevés were classified into eleven vegetation types reflecting the total variation in species composition.They are as follows: 1 – acidophilous oak forests with nitrophytes, 2 – mesic acidophilous oak forests, 3 – dry acidophilous oak forests, 4 – dry acidophilous oak forests of rock outcrops, 5 – dry-mesic subacidophilous oak forests on deep soils, 6 – birch forests, 7 – eutrophic oak-hornbeam forests, 8 – mesotrophic oak-hornbeam forests, 9 – ravine forests, 10 – alluvial forests and 11 – downy oak forests. Using gradient analysis, nutrient availability/productivity gradient was identified as the main driver of species composition in the studied vegetation.
    Permanent Link: http://hdl.handle.net/11104/0256669

     
     
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