Predicting depth translocation of base cations after forest liming: results from long-term experiments

Forest liming is a common measure to counteract soil acidification. In forest practice, lime is applied to the forest floor where it changes the chemical properties. However, little is known about the depth impact of liming and the depth translocation of lime components. To investigate the long-term...

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Bibliographic Details
Published in:European journal of forest research Vol. 131; no. 6; pp. 1869 - 1887
Main Authors: Guckland, Anja, Ahrends, Bernd, Paar, Uwe, Dammann, Inge, Evers, Jan, Meiwes, Karl Josef, Schönfelder, Egbert, Ullrich, Thomas, Mindrup, Michael, König, Nils, Eichhorn, Johannes
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer-Verlag 01-11-2012
Springer Nature B.V
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Summary:Forest liming is a common measure to counteract soil acidification. In forest practice, lime is applied to the forest floor where it changes the chemical properties. However, little is known about the depth impact of liming and the depth translocation of lime components. To investigate the long-term impact of forest liming, several study plots have been established in the 1980s in Germany in stands with different site conditions. We analysed soil chemical data obtained during the last 28 years from 45 of the study plots. We examined the depth impact of liming and predicted the main factors responsible for the increase in Calcium (Ca) and Magnesium (Mg) stocks after liming in the mineral soil using multiple linear regression analyses (MLR). Stocks of Ca and Mg as well as base saturation (BS) showed a strong depth gradient with significant differences between limed and control plots down to 40 cm of the mineral soil. About 65–70 % of applied Ca and Mg were recovered in the forest floor and the upper 40 cm of the mineral soil. BS in 0–40 cm increased by a mean of 11 %. MLR models could explain 48–74 % of the variation in mean changes of Ca and Mg in 0–10, 10–20 and 20–40 cm soil depth when soil and climate variables, amount of applied lime and years after liming are included in the model. After testing the model robustness with a cross-validating procedure, we concluded that these models might be applied to many regions in Central Europe with comparable soil and climate conditions and thus, have widespread application.
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ISSN:1612-4669
1612-4677
DOI:10.1007/s10342-012-0639-0