Analysis of the Driving Mechanism of Grassland Degradation in Inner Mongolia Grassland from 2015 to 2020 Using Interpretable Machine Learning Methods

Analysis of the Driving Mechanism of Grassland Degradation in Inner Mongolia Grassland from 2015 to 2020 Using Interpretable Machine Learning Methods

In traditional studies on grassland degradation drivers, researchers often lacked the flexibility to selectively consider driving factors and quantitatively depict their contributions. Interpretable machine learning offers a solution to these challenges. This study focuses on Inner Mongolia, China,...

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Bibliographic Details
Main Authors: Zuopei Zhang, Yunfeng Hu, Batunacun
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Land
Subjects:
machine learning
grassland degradation
driving factors
SHAP method
climate change
Online Access:https://www.mdpi.com/2073-445X/14/2/386

Internet

https://www.mdpi.com/2073-445X/14/2/386

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