Natural pine site differentiation is instrumental in the modification of Scots pine cultivation to environmental change. The aim of this study was to distinguish azonal pine sites in prevailing beechwood conditions by the means of soil property interrelationships. The study aimed at verifying assumptions (i) that intrinsic soil properties suggest differences at naturalness among various communities in the same mesoclimate, relief or on same soil group and (ii) whether pines differ from beechwoods uniformly or unevenly among different regional population areas. The verification was carried out by discrimination analysis of the H- and A-horizon forest soil properties at selected pine and beech stands in the Czech Republic between 2006 and 2015. Homogeneous pines were confirmed either on poorly developed or very infertile soils. Mixed pines were found on Cambisols. Complete separability was found between pines and beechwoods on Podzols due to inverse proportions of correlations among acid phosphomonoesterase (APMEA) and urease (UA) activities, Corg, Cmic, base saturation, bulk density and aeration. The inverse proportions among UA, Ntot, Cmic and soil hydrophysical properties conditioned the separability of pines on different soil groups than beechwoods. Soil indications of natural pines are related to phosphorus release by APMEA and site resistance to drought due to soil organic matter and water-holding capacity.
Anthropogenic modifications to water regimes are one of the main factors threatening the stability and existence of floodplain forests. This study presents an analysis of topsoil biogeochemistry within three floodplain forest stands with different levels of human alteration. Decreasing contents of soil organic carbon (OC) and microbial biomass were observed along the gradient from natural to plantation forest. High annual variations were observed in soil N contents and in microbial biomass, while comparable spatial variations were observed within the natural forest. High ground-water levels resulted in increased accumulation of available Na+ and SO42− in the natural forest soil, yet the concentrations of ions were at sub-saline levels. The increasing contents of available Mn, SO42− or Cl− had mostly positive effects on soil microbial activity across the sites, though the results indicate the existence of a certain ecological limit for soil microorganisms. Reintroduction of surface-water flooding should be considered in future forest and water management to promote the dilution of ions accumulated in soils and natural deposition of sediments rich in organic matter (OM) at the sites.
Plant distribution is most closely associated with the abiotic environment. The abiotic environment affects plant species’ abundancy unevenly. The asymmetry is further deviated by human interventions. Contrarily, soil properties preserve environmental influences from the anthropogenic perturbations. The study examined the supra-regional similarities of soil effects on plant species’ abundance in temperate forests to determine: (i) spatial relationships between soil property and forest-plant diversity among geographical regions; (ii) whether the spatial dependencies among compared forest-diversity components are influenced by natural forest representation. The spatial dependence was assessed using geographically weighted regression (GWR) of soil properties and plant species abundance from forest stands among 91 biogeographical regions in the Czech Republic (Central Europe). Regional soil properties and plant species abundance were acquired from 7550 national forest inventory plots positioned in a 4 × 4 km grid. The effect of natural forests was assessed using linear regression between the sums of squared GWR residues and protected forest distribution in the regions. Total diversity of forest plants is significantly dependent on soil-group representation. The soil-group effect is more significant than that of bedrock bodies, most of all in biogeographical regions with protected forest representation >50%. Effects of soil chemical properties were not affected by protected forest distribution. Spatial dependency analysis separated biogeographical regions of optimal forest plant diversity from those where inadequate forest-ecosystem diversity should be increased alongside soil diversity.
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