Machine Learning Forest Simulator
Description
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) , while the method for predicting
basal area increments (BAI) was described by Jevšenak and Skudnik (2021)
.