Wissensbasierte Modellierung der Mächtigkeit des kalkfreien Bodenbereiches in den Waldböden des Kantons Basel-Landschaft (Nordwestschweiz)

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Titel in ÜbersetzungKnowledge-based modeling of the non-calcareous soil depth of forest soils in the canton Basel-Landschaft (Northwest Switzerland)
OriginalspracheDeutsch
Seiten (von - bis)5-16
Seitenumfang12
FachzeitschriftWaldokologie Online
Jahrgang13
PublikationsstatusVeröffentlicht - 2013

Abstract

The progressive acidification of forest soils leads to a lack of nutrients and increasingly threatens forest ecologies. To assess these risks, area-wide information on forest soil properties that are relevant to soil acidification is needed. In this context, a knowledge-based prediction model to predict the non-calcareous soil depth of forest soils in the Canton Basel-Landschaft (northwest Switzerland) was developed, based on eight predictors/predictor groups. The resulting map provides comprehensible, detailed information on the relevant soil property for 87 % of the forest areas. With the help of these modeled results, the base saturation of forest soils can be estimated, and forest sites with an inadequate nutrient supply can be identified. In the long term, this model is an important tool for assessing acidification risks.

Schlagwörter

    Classification and regression trees, Decalcified soil depth, Digital soil mapping, Forest soil properties, knowledge-based modeling, Soil acidification

ASJC Scopus Sachgebiete

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Wissensbasierte Modellierung der Mächtigkeit des kalkfreien Bodenbereiches in den Waldböden des Kantons Basel-Landschaft (Nordwestschweiz). / Fracek, Kristin; Mosimann, Thomas.
in: Waldokologie Online, Jahrgang 13, 2013, S. 5-16.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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abstract = "The progressive acidification of forest soils leads to a lack of nutrients and increasingly threatens forest ecologies. To assess these risks, area-wide information on forest soil properties that are relevant to soil acidification is needed. In this context, a knowledge-based prediction model to predict the non-calcareous soil depth of forest soils in the Canton Basel-Landschaft (northwest Switzerland) was developed, based on eight predictors/predictor groups. The resulting map provides comprehensible, detailed information on the relevant soil property for 87 % of the forest areas. With the help of these modeled results, the base saturation of forest soils can be estimated, and forest sites with an inadequate nutrient supply can be identified. In the long term, this model is an important tool for assessing acidification risks.",
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T1 - Wissensbasierte Modellierung der Mächtigkeit des kalkfreien Bodenbereiches in den Waldböden des Kantons Basel-Landschaft (Nordwestschweiz)

AU - Fracek, Kristin

AU - Mosimann, Thomas

PY - 2013

Y1 - 2013

N2 - The progressive acidification of forest soils leads to a lack of nutrients and increasingly threatens forest ecologies. To assess these risks, area-wide information on forest soil properties that are relevant to soil acidification is needed. In this context, a knowledge-based prediction model to predict the non-calcareous soil depth of forest soils in the Canton Basel-Landschaft (northwest Switzerland) was developed, based on eight predictors/predictor groups. The resulting map provides comprehensible, detailed information on the relevant soil property for 87 % of the forest areas. With the help of these modeled results, the base saturation of forest soils can be estimated, and forest sites with an inadequate nutrient supply can be identified. In the long term, this model is an important tool for assessing acidification risks.

AB - The progressive acidification of forest soils leads to a lack of nutrients and increasingly threatens forest ecologies. To assess these risks, area-wide information on forest soil properties that are relevant to soil acidification is needed. In this context, a knowledge-based prediction model to predict the non-calcareous soil depth of forest soils in the Canton Basel-Landschaft (northwest Switzerland) was developed, based on eight predictors/predictor groups. The resulting map provides comprehensible, detailed information on the relevant soil property for 87 % of the forest areas. With the help of these modeled results, the base saturation of forest soils can be estimated, and forest sites with an inadequate nutrient supply can be identified. In the long term, this model is an important tool for assessing acidification risks.

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KW - Soil acidification

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