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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.
    Vir: Ecological informatics. - ISSN 1574-9541 (Vol. 75, article no. 102115, 2023, 11 str.)
    Vrsta gradiva - članek, sestavni del
    Leto - 2023
    Jezik - angleški
    COBISS.SI-ID - 154094595

    Povezava(-e):

    https://doi.org/10.1016/j.ecoinf.2023.102115
    https://www.sciencedirect.com/science/article/pii/S1574954123001449
    DOI

vir: Ecological informatics. - ISSN 1574-9541 (Vol. 75, article no. 102115, 2023, 11 str.)

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