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We evaluated the population structure of the bog and dry land populations of the Siberian pine Pinus sibirica ( P. sibrica) in Western Siberia using nuclear genome markers. Six pairs of nuclear microsatellite loci were used for this analysis. We detected 30 allelic variants in 120 individuals of four populations of P. sibirica. We established that the studied populations differ by genetic structure. The most essential differences were identified between the Siberian pine population from oligotrophic bog and the group of populations from dry land within eutrophic bogs and near settlements P. sibirica forest ( F = 0.019; D = 0.053). We estimated that diversification of the West Siberian populations of P. sibirica exceeded 2.4% ( F = 0.024), based on an analysis of SSR markers. [ABSTRACT FROM AUTHOR]

Based on the data of long-term studies of bog and river waters in the taiga zone of Western Siberia, highly significant linear regression models for the relationships between the organic matter content and optical density of the water were developed. The parameters of the relationships obtained are proposed to be used for the determination of the water-soluble carbon content. The inclusion only of the optical density values into the calculated formulas makes them convenient for practical application. Regression models were developed on the basis of the data on determining the carbon content using the bichromate method, which is widely used in soil and hydrochemical studies. The calculated method forms prerequisites for the operational monitoring of the water-soluble organic substances, since the obtained results can be comparable with the earlier published data on the carbon content determined by the same method. These regression models seem to also be suitable for the determination of the organic carbon in the water extracts of organic soils. [ABSTRACT FROM AUTHOR]

A typological series of native Betula pubescens Ehrh. dendrocenoses along the channel of a river crossing a bog was studied. The variability of the mineral element reserves is described by geostatistical methods as the sum of a trend, autocorrelation, and random components. The contribution of deterministic and random components has been assessed in the years with average precipitation and in the year of 2007 with high and long-term flooding. The empirical variograms and the parameters of the model variograms are presented. The class of the spatial correlation of the ash reserves is described. A primary cause of the ash content's variability is the specific water regime, which is determined by the following: (i) the abundance and duration of the spring floods responsible for the silt mass brought by the river and (ii) the draining effect of the intrabog river, the distance from which provided the formation in the forest of the ground cover with the specific species composition and ash content. The falloff of the arboreal layer in the bog birch forests formed the fundamental mineral background of the litter. [ABSTRACT FROM AUTHOR]

Abstract: The ash stock in forest litter influences the fertility of forest soil and should be studied. Litter samples were taken at 70 locations within a 270x60 metre transect in 2004-2007 in the bog birch forest, western Siberia. A geostatistical model with external trend was applied to describe the spatial pattern of the ash mass (kg m-2) on the forest floor. Hydrological factors, used as explanatory variables in an external trend equation, account for the main portion of spatial variation (83% and 49% in the years of, respectively, low and high spring flooding). Covariance structure of the data, connected with patterns of vegetation and silt deposits, explains the smaller portion of spatial variation (12% and 38%). The unexplained variation is minor (5% and 13%). © 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Spatial Statistics 2011 [Copyright &y& Elsevier]