Abstract
The aim of this study was to identify the most significant stand parameters affecting net forest precipitation and interception loss in Scots pine stands and to develop multiple linear regression models (MLR) that can be used for practical purposes to predict net forest precipitation and interception rates in northern Germany using forest inventory data and gross precipitation. In the model, the forest canopy is characterized by four parameters: mean tree height, diameter at breast height, number of stems and canopy cover fraction. The meteorological input is only annual gross precipitation.
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