Modeling Climate Change Effects on the Distribution of Oak Forests with Machine Learning
The present study models the effect of climate change on the distribution of Persian oak (<i>Quercus brantii</i> Lindl.) in the Zagros forests, located in the west of Iran. The modeling is conducted under the current and future climatic conditions by fitting the machine learning method o...
Main Authors: | Hengameh Mirhashemi, Mehdi Heydari, Omid Karami, Kourosh Ahmadi, Amir Mosavi |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
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Series: | Forests |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4907/14/3/469 |
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