摘要：
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.
