Predicting Individual Tree Mortality of Larix gmelinii var. Principis-rupprechtii in Temperate Fores...
Predicting Individual Tree Mortality of Larix gmelinii var. Principis-rupprechtii in Temperate Forests Using Machine Learning Methods
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Accurate prediction of individual tree mortality is essential for informed decision making in forestry. In this study, we proposed machine learning models to forecast individual tree mortality within the temperate Larix gmelinii var. principis-rupprechtii forests in Northern China. Eight distinct machine learning techniques including random forest,...
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Full title
Predicting Individual Tree Mortality of Larix gmelinii var. Principis-rupprechtii in Temperate Forests Using Machine Learning Methods
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TN_cdi_proquest_journals_2930970453
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2930970453
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ISSN
1999-4907
E-ISSN
1999-4907
DOI
10.3390/f15020374
