Modeling Climate Change Effects on the Distribution of Oak Forests with Machine Learning

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...

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Bibliographic Details
Main Authors: Hengameh Mirhashemi, Mehdi Heydari, Omid Karami, Kourosh Ahmadi, Amir Mosavi
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Forests
Subjects:
species distribution
climate change
Bayesian
machine learning
artificial intelligence
deep learning
Online Access:https://www.mdpi.com/1999-4907/14/3/469

Internet

https://www.mdpi.com/1999-4907/14/3/469

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