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Estimating the value of ecosystem services: A machine learning approach for Missouri wetlands
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DOI：10.1016/j.ecoser.2026.101849.png)
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Abstract
En 中文
• Machine learning with global data yields robust ecosystem service value estimates. • Urban proximity, precipitation, and soil content majorly shape wetland service values. • Global transferability allows multiple ecosystem value estimates with minimal local data. • SHAP analysis clarifies site-level drivers, aiding evidence-based management.
Keywords:
C53
Q57
Ecosystem valuation
Ecosystem services
Gradient boosting
Benefit transfer
Wetlands
Machine learning
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