出版社:Arbeitsgemeinschaft Forstliche Standorts- und Vegetationskunde (AFSV)
摘要: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