National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Trophic and Hydric Soil Series in the Floodplain of Natural Submountain Gravel-Carrying Moravka River in the Outer Western Carpathians
Rychtecká, P. ; Rosíková, J. ; Samec, Pavel
The soil series classification is the fundamental approach for the evaluation of relations between soil conditions and vegetation. In this study, the evaluation of the soil series was situated into the naturally forested Outer Carpathian gravel-carrying floodplain along the Moravka River (336383 m a.s.l., Czech Republic). The classification was carried out geobiocoenologically by the trophic and hydric series on the fluvial landforms (FLs) of bars and the active to terrace floodplains under using of the pedochemical and hydro-physical properties intervals. The differences among the soil properties on the FLs were evaluated using the analysis of variance and discrimination analysis. The FLs divided the soil conditions demonstrably. Total separability of the trophic series was 84% while separability of the hydric series was 72%. The separabilities of the pedochemical properties were 6681% among the FLs although the hydro-physical properties distinguished them only with 41-64% accuracy. The bar soil conditions were base and hydrically limited in contrast to the terraces. The active floodplain was base on less than 68% of the area, otherwise there were the mesotrophicallybase conditions. The soil conditions on the terrace floodplain patently differed between the topsoil and subsoil. While the subsoil was predominantly mesotrophic (58%) to mesotrophically-nitrophilous (40.5%), the topsoil was mesotrophically-nitrophilous predominantly.
Forest Soil Physico-Chemical Sorption Spatial Links in Central-European Systems of Site Geographical Divisions
Samec, Pavel ; Balková, M. ; Kučera, A.
Spatial links among soil property values influence variability of soil sorption. The aim of this study was to compare the effect of geotectonic, soil-and biogeographical divisions on forest soil physicochemical sorption spatial links. The effect was investigated through optimal model selection and its comparison among the soil cover division systems of Central-European Highlands in the Czech Republic. Optimal model was selected through the closest-fitting estimations of linear global and local regressions between sorption and chemical or geomorphological forest soil properties. The optimal model comparison was carried out through linear regression with bedrock type proportion (geodiversity) at units of particular division systems. Chemical properties influenced forest soil sorption more than relief. Soil base saturation (BS) was locally more divided than cation exchange capacity (CEC). Local regression of BS with Al2O3 was divided by geotectonic systems the most, but it was not influenced by geodiversity. Geodiversity influenced local regression of CEC with Al2O3 in soil regions as well as regression with C/N in biogeographical regions. Differences between spatial links of BS and CEC suggest that forest soil sorption is divided into multi-level clusters. Spatial link modelling of soil sorption can optimalize forest growth condition division for effective management use.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.