Assessing relative contributions of climate and socio-environmental factors to ecosystem health through space–time interpretable machine learning

Assessing relative contributions of climate and socio-environmental factors to ecosystem health through space–time interpretable machine learning

The biggest challenge of sustainability is improving ecosystem production services while preserving other functions at large scales. One solution is to seek a delicate equilibrium from complex nonlinear trade-offs between socioeconomic development, climate change, and environmental protection to max...

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Bibliographic Details
Main Authors: Xiaoliang Meng, Junyi Wu, Yichun Xie, Yongfei Bai, Chenghu Zhou, Yuchen Li
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Ecological Indicators
Subjects:
Relative contributions of coupled climate and socioenvironmental factors
Interpretable machine learning
Fine-grained spatial and temporal analysis
Each feature’s contribution to individual prediction (EFCTIP)
Localized EFCTIP
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25010192
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