MLFS

Climate-sensitive forest simulator based on the principles of machine learning. It stimulates all key processes in the forest: radial growth, height growth, mortality, crown recession, regeneration and harvesting. The method for predicting tree heights was described by Skudnik and Jevšenak (2022) doi:10.1016/j.foreco.2022.120017, while the method for predicting basal area increments (BAI) was described by Jevšenak and Skudnik (2021) doi:10.1016/j.foreco.2020.118601.