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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Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-09-01
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Series: | Ecological Indicators |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25008088 |
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