Predicting Individual Tree Mortality of <i>Larix gmelinii</i> var. <i>Principis-rupprechtii</i> in Temperate Forests Using Machine Learning Methods

Predicting Individual Tree Mortality of <i>Larix gmelinii</i> var. <i>Principis-rupprechtii</i> in Temperate Forests Using Machine Learning Methods

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 <i>Larix gmelinii</i> var. <i>principis-rupprechtii</i> forest...

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Bibliographic Details
Main Authors: Zhaohui Yang, Guangshuang Duan, Ram P. Sharma, Wei Peng, Lai Zhou, Yaru Fan, Mengtao Zhang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Forests
Subjects:
Prince Rupprecht larch
soil properties
machine learning
tree mortality prediction
Online Access:https://www.mdpi.com/1999-4907/15/2/374

Internet

https://www.mdpi.com/1999-4907/15/2/374

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