Czynniki kształtujące zróżnicowanie przestrzenne pH gleb leśnych na przykładzie gleb płowych podścielonych marglami

Piotr Gruba , Piotr Pacanowski , Jan Mulder

Abstract

The study focused on the influence of several soil properties and forest species composition on spatial distribution of organic carbon stock in soils developed from the contrasted parent materials: Tertiary claystones and sandstones, and Qurternary sands of different origins. Soil sampling was performed on 110 plots, while forest mensuration was conducted on 82 ones. The content of <0.05 mm fraction determined by the type of parent material played a key role in the distribution of carbon stock in soils. Higher content of fine fraction favoured the accumulation in mineral part of soil, while higher sand content had an indirect influence on accumulation of carbon in the organic horizon. Forest species composition and biomass volume are more important for C accumulation in the O horizons. Taking into account the geological heterogeneity, the size of investigation area played a prominent role for the statistical significance of the observed correlations between carbon stocks and the other soil properties.
Author Piotr Gruba (FoF / L-KGL)
Piotr Gruba,,
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, Piotr Pacanowski (FoF / L-KGL)
Piotr Pacanowski,,
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, Jan Mulder
Jan Mulder,,
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Other language title versionsFactors influencing spatial heterogeneity of pH in forest soils on the example of luvisols with marlstone underlayer
Journal seriesSylwan, ISSN 0039-7660, (A 15 pkt)
Issue year2013
Vol157
No2
Pages149-157
Publication size in sheets0.5
Keywords in Englishcarbon sequestration, spatial variability, species composition, soil properties
ASJC Classification1107 Forestry
URL http://sylwan.ibles.waw.pl/pls/apex/apex_util.get_blob?s=7718631847979384&a=105&c=1170502307818324&p=10&k1=16979&k2=&ck=04EED719AA6421424B0108063AE889F7&rt=CR
Internal identifierWL/P/7/2013; WL/3/2
Languagepl polski
Score (nominal)15
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2014 = 0.776; WoS Impact Factor: 2013 = 0.295 (2) - 2013=0.261 (5)
Citation count*1 (2016-01-18)
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