Rainfall interception estimation of a Beech Forest with dynamic storage capacity model

A comprehensive understanding of rainfall distribution processes within tree canopies is crucial for studying the forest hydrological cycle and its ecosystem. Canopy interception is a dynamic component of the water balance, as the canopy's storage capacity varies seasonally. Building on these insights, the primary aim of this study was to develop a canopy interception model for the European beech (Fagus sylvatica L.). The model incorporates physical parameters as well as considers the seasonally variable storage capacity of the canopy, by the help of remotely sensed Leaf Area Index (LAI) data. The model was tested using annual precipitation data from 2017 to 2022.

The model results highlighted the significant impact of interception on rainfall distribution, with interception accounting for 20% of total precipitation, particularly affecting small rainfall events (0-5 mm) with 61 %. The results of seasonal variability for the investigated six years are 23% in the growing season, while 13% in the dormancy.

Acknowledgement
This article was made within frame of Project No 143972SNN (OTKA) and TKP2021-NKTA-43. The TKP2021-NKTA-43 project which has been implemented with support provided by the Ministry of Innovation and Technology of Hungary (successor: Ministry of Culture and Innovation of Hungary) from the National Research, Development and Innovation Fund and financed under the TKP2021-NKTA funding scheme.