Modeling the Impact of Canopy Structure on the Spatial Variability of NetForest Precipitation and Interception Loss in Scots Pine Stands

摘要

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