Unveiling spatiotemporal evolution and driving factors of ecosystem service value: interpretable HGB-SHAP machine learning model

Unveiling spatiotemporal evolution and driving factors of ecosystem service value: interpretable HGB-SHAP machine learning model

IntroductionThe ecosystem service value (ESV) is a critical element in the preservation of ecological barriers. The objective of this study is to elucidate the nonlinear correlation between ESV and the key factors that contribute to enhancing the accuracy and reliability of ecosystem service value a...

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Bibliographic Details
Main Authors: Xiangming Xu, Xinyi Zhang, Linghua Qin, Rui Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Environmental Science
Subjects:
multi-scales
equivalent factor
spatial autocorrelation analysis
HGB
SHAP
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2025.1640840/full
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