Focal points
OBJECTIVE
Major aim of the project is the development of a model-based, transferable method for a classification of the soil water balance of forest sites. That mainly aims at an improved and objective classification of the soil water balance, which can be derived from commonly available or easily collectable information.
Against the background of varying site characterisitcs (soil, relief, climate) the influence of different forest stands on the soil water balance will be quantified. For this reason the forest species picea abies and red beech will compared, especially to determine possible changes in the site characteristics caused by the anthropogenic forest transformation. In addition to statistical values, e.g., available water capacity, one objective target is the calculation and the adjacent classification of a dynamic soil water balance. So, a characterization of atmospheric and soil depending extremes in soil water balance based on meteorological, biometric and pedological data should be enabled at site level. Furthermore, a soil water balance prediction in consideration of the expected climate change will be aimed.
FOCAL POINTS
The interdiciplinary project contains four different focuses which are researched by the project teams
Major aim of the project is the development of a model-based, transferable method for a classification of the soil water balance of forest sites. That mainly aims at an improved and objective classification of the soil water balance, which can be derived from commonly available or easily collectable information.
Against the background of varying site characterisitcs (soil, relief, climate) the influence of different forest stands on the soil water balance will be quantified. For this reason the forest species picea abies and red beech will compared, especially to determine possible changes in the site characteristics caused by the anthropogenic forest transformation. In addition to statistical values, e.g., available water capacity, one objective target is the calculation and the adjacent classification of a dynamic soil water balance. So, a characterization of atmospheric and soil depending extremes in soil water balance based on meteorological, biometric and pedological data should be enabled at site level. Furthermore, a soil water balance prediction in consideration of the expected climate change will be aimed.
FOCAL POINTS
The interdiciplinary project contains four different focuses which are researched by the project teams