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Long‐term soil acidification leads to lower pH values and to a concomitant decrease in base saturation (BS). The relationship between pH and base saturation (BS) in acidified forest soils can be disturbed by processes such as nutrient cycling by vegetation, temporary saturation by ground water that comes into contact with calcareous material, or by upward diffusion of base cations from deeper horizons. This paper examines the relationship between pH and BS in Swiss forest soils developed from calcareous and noncalcareous parent material and identifies some of the factors that can affect the BS in the decalcified parts of soils derived from calcareous parent material. The decalcified zone in the latter soils has a higher BS on average compared to soils from noncalcareous parent material, but their pH values are identical. In the pH range 4.0–4.5, the difference in BS may vary by a factor of three. The mean BS in the decalcified zone tends to decrease with increasing depth of the calcareous layer. The water regime also affects the BS in soils on calcareous parent material. In soils temporarily saturated by groundwater (gleysols), the BS in the decalcified zone is always high (85%–100%) because of the continuous contact between the soil water and the calcareous parent material. In addition, the inhibited drainage impedes the depletion of base cations in these soils. In contrast, soils that are temporarily saturated by rainwater are depleted in base cations due to the alternating wetting‐and‐drying regime and the associated leaching of dissolved ions. In such soils, the depletion of base cations is strongly related to the extent of hydromorphy. Stagnogleyic soils, with the longest period of water saturation, have the highest depletion levels. We conclude that in such soils, the diffusion of base cations from deeper zones is strongly compensated by leaching from the very acidic soil horizons. The pH–base saturation anomaly has consequences for some of the methods used to calculate the critical loads of acidity for forest soils in Switzerland, with many soils being less sensitive than previously reported.  相似文献   
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Soil maps are indispensable base material for planning processes and risk analyses. For many studies, however, area‐wide uniformly scaled soil maps are not available. Our objective was to develop a GIS‐based method for providing information for NoData areas of the Medium‐Scale Agricultural Site Mapping (MMK). NoData areas represent nonagricultural zones, in this case especially forests. A grid‐based methodology for extrapolating soil mapping units of agricultural areas to the entire landscape was developed and tested in Mecklenburg–Western Pomerania (total area 23,170 km2). The principle of the extrapolation method is based on a statistical neighborhood analysis implemented by the moving‐window technology considering selected site features as geology, altitude, and relief energy. Results were illustrated exemplarily for soil‐moisture conditions, which are expressed as “hydromorphy association types”. Four different indicators were derived to ensure a spatially differentiated evaluation of the extrapolation quality. The precision with which it is possible to extrapolate already mapped MMK units in terms of the hydromorphy association type was used to validate the extrapolation method. Evaluation of the results was based on the percentage of Correctly Extrapolated Pixels (CEP), which were derived from a confusion matrix. The percentage of CEP was 26% when the 15 single classes of the hydromorphy association type were considered separately. The percentage of CEP rose up to 65% after grouping the hydromorphy association types into three practically combined categories. It could be demonstrated that the extrapolation technique applied represented an objective and relatively fast and cost‐effective method to obtain an area‐wide MMK mapping.  相似文献   
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