Detection of driving factors and critical thresholds for carbon sequestration capacity in urban agglomerations using a combined causal inference and machine learning approach

Detection of driving factors and critical thresholds for carbon sequestration capacity in urban agglomerations using a combined causal inference and machine learning approach

The carbon sequestration capacity in urban agglomeration ecosystems is crucial for enhancing scientific understanding of the carbon cycle and promoting sustainable development to mitigate climate change. However, existing studies on driving factors, particularly regarding determining causal mechanis...

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Bibliographic Details
Main Authors: Yin Zhang, Weibo Ma, Nan Wang, Lijun Zhao, Qingwu Hu, Shaogang Lei, Haidong Li
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:GIScience & Remote Sensing
Subjects:
Carbon sequestration
causal inference
machine learning
driving factors
threshold detection
Online Access:https://www.tandfonline.com/doi/10.1080/15481603.2025.2483492
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