Relation of influencing variables and weather conditions on rainfall partitioning by birch and pine trees

Abstract General weather conditions may have a strong influence on the individual elements of hydrological cycle, an important part which is rainfall interception. The general this process was analysed, evaluating separately various variables throughfall, stemflow, and interception for wet (2014), dry (2015), average (2016) year. analysed data were measured case birch pine trees at study site in city Ljubljana, Slovenia. relationship between components partitioning influential selected years estimated using two statistical models, namely boosted regression random forest. results both implemented models complemented each other well, as indicated amount number raindrops most variables. During year 2014 duration seems to play role, correlating with previously observed during wetter leafless period. Similarly, 2015, intensity had significant by tree, again corresponding influences drier leafed