Quantifying hydrothermal-driven dynamics of gross primary productivity in the Ta-Pieh mountains based on explainable artificial intelligence

Study region: The study area is the Ta-Pieh Mountains, located in central China at the northern margin of the East Asian monsoon region. Study focus: This study integrates multi-source remote-sensing and meteorological data (2000 – 2022) to investigate the hydrothermal-driven dynamics of Gross Prima...

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Bibliographic Details

Published in:	Journal of Hydrology: Regional Studies
Main Authors:	Shaowei Ning, Lichang Xu, Xiaoyan Xu, Yuliang Zhou, Yuliang Zhang, Shengyi Zhang, Rujian Long, Juliang Jin, Bhesh Raj Thapa
Format:	Article
Language:	English
Published:	Elsevier 2025-12-01
Subjects:	Gross primary productivity Tree-ensemble learning Ta-Pieh Mountains Explainable AI
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214581825006263