Forest soil acidification assessment using principal component analysis andgeostatistics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F07%3A19840" target="_blank" >RIV/60460709:41210/07:19840 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Forest soil acidification assessment using principal component analysis andgeostatistics

Original language description

Soil acidification and consequent Al release is a problem particularly under forests in mountainoujs areas of the Czech Republic. It is controlled by a number of factors,like acid deposition, forest type, parent rockaltitude. etc. The Jizera Mountains region presents an arela heavily influenced by acidification and forest decline. This pper focused on theeffectof stand foactors on spatial distribution of soil characteristics of the surface organic(O)and sub-surface (B) horizons from 98 sites using a combination of principal component analysis (PCA) and goestatistics. In the PCA, five principal components (PC) describing more than 70 % of total variation were selected. The properties of the O and B horzons (pH,C,N, and S content, potentially dangerous Al forms) were in most cases separated, suggesting different processes and effects in each horizon. Spatial variation of PC scores was analysed using variogram,s maps of their distribution were creatd using kriging. Spatial correlation wit

Czech name

Hodnocení acidifikace lesních půd s využitím analýzy hlavních komponent a geostatistiky

Czech description

Soil acidification and consequent Al release is a problem particularly under forests in mountainoujs areas of the Czech Republic. It is controlled by a number of factors,like acid deposition, forest type, parent rockaltitude. etc. The Jizera Mountains region presents an arela heavily influenced by acidification and forest decline. This pper focused on theeffectof stand foactors on spatial distribution of soil characteristics of the surface organic(O)and sub-surface (B) horizons from 98 sites using a combination of principal component analysis (PCA) and goestatistics. In the PCA, five principal components (PC) describing more than 70 % of total variation were selected. The properties of the O and B horzons (pH,C,N, and S content, potentially dangerous Al forms) were in most cases separated, suggesting different processes and effects in each horizon. Spatial variation of PC scores was analysed using variogram,s maps of their distribution were creatd using kriging. Spatial correlation wit

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DF - Pedology

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2007

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Geoderma

ISSN

0016-7061

e-ISSN

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Volume of the periodical

140

Issue of the periodical within the volume

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Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

9

Pages from-to

374-382

UT code for WoS article

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EID of the result in the Scopus database

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