Predicting forest carbon storage and identifying hotspot in the Loess Plateau under future climate change–supporting China's dual carbon strategy

Predicting forest carbon storage and identifying hotspot in the Loess Plateau under future climate change–supporting China's dual carbon strategy

Forests play a crucial role in the global carbon cycle and climate change mitigation. However, regional-scale assessments of forest carbon storage and hotspot identification remain challenging. In this study, we employed a k-fold random forest (K-RF) algorithm to classify forest types across the Loe...

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Bibliographic Details
Main Authors: Haihong Qiu, Hairong Han, Xiaoqin Cheng, Fengfeng Kang
Format: Article
Language:English
Published: Taylor & Francis Group 2025-08-01
Series:International Journal of Digital Earth
Subjects:
Forest remote sensing
forest space
carbon storage
optimization simulation
hotspot area
Loess Plateau
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2025.2516727
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https://www.tandfonline.com/doi/10.1080/17538947.2025.2516727

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