Details
Translated title of the contribution | Knowledge-based modeling of the non-calcareous soil depth of forest soils in the canton Basel-Landschaft (Northwest Switzerland) |
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Original language | German |
Pages (from-to) | 5-16 |
Number of pages | 12 |
Journal | Waldokologie Online |
Volume | 13 |
Publication status | Published - 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.
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Forestry
- Environmental Science(all)
- Ecology
- Environmental Science(all)
- Ecological Modelling
- Agricultural and Biological Sciences(all)
- Plant Science
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In: Waldokologie Online, Vol. 13, 2013, p. 5-16.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
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.
KW - Classification and regression trees
KW - Decalcified soil depth
KW - Digital soil mapping
KW - Forest soil properties
KW - knowledge-based modeling
KW - Soil acidification
UR - http://www.scopus.com/inward/record.url?scp=84883010145&partnerID=8YFLogxK
M3 - Artikel
AN - SCOPUS:84883010145
VL - 13
SP - 5
EP - 16
JO - Waldokologie Online
JF - Waldokologie Online
SN - 1867-710X
ER -