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Machine Learning Forest Simulator (MLFS) : R package for data-driven assessment of the future state of forests
Jevšenak, Jernej ...
The Machine Learning Forest Simulator (MLFS) is the first completely data-driven model of forest dynamics organised as an R package. It is a single-tree, easy to use and freely available tool that is ...applicable to all forest ecosystems, from even-aged monocultures to mixed forests with diverse vertical structures. This article presents the newly developed model system and gives detailed instructions on how to use it, from data preparation to description of key arguments and algorithms and to evaluation and interpretation of simulation outputs. The sample simulations are based on the most recent national forest inventory data from Slovenia and include different mortality, harvesting and climate scenarios. We show a wide range of potential applications and input settings, which result in different growing stock, yield and forest structures. The MLFS showed reasonable accuracy and can therefore become a standard tool for decision-making in forest ecosystem management.
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