Revealing the spatiotemporal dynamics and nonlinear interaction-driven mechanisms of wetland ecosystem health in Northeast China using interpretable machine learning

Revealing the spatiotemporal dynamics and nonlinear interaction-driven mechanisms of wetland ecosystem health in Northeast China using interpretable machine learning

Under the combined influence of global change and human activity, wetland ecosystem health (WEH) faces considerable challenges. Understanding spatiotemporal evolutionary patterns and the key driving mechanisms is critical for promoting scientific wetland conservation and sustainable development. How...

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Bibliographic Details
Main Authors: Walian Du, Shouzheng Tong, Mingye Zhang, Yuan Xin, Dongjie Zhang, Xianglong Xing, Yu An, Geng Cui, Guangtao Liu
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Ecological Indicators
Subjects:
DPSIRM-VORS model
Ecosystem health assessment
PLS-SEM
Wetland
XGBoost-SHAP
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25008088
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