Prediction and Trade-Off Analysis of Forest Ecological Service in Hunan Province on Explainable Deep Learning DOI Open Access

Weisi Li,

Wenju Jing,

Yuxin Tian

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 604 - 604

Published: March 30, 2025

Ecosystem services play a crucial role in maintaining ecological balance, providing essential functions. This study examines the trade-offs and synergies among five key ecosystem forests across different regions of Hunan Province, China. Various machine learning models are compared to predict service value (ESV) levels, with most effective predictive model identified. The SHAP (SHapley Additive exPlanations) analysis is employed identify environmental management factors influencing services. Our findings reveal significant regional variations services, eastern western showing superior soil conservation forest nutrient retention. In contrast, southern regions, particularly karst areas, display fewer between likely due effectiveness policies. further reveals that such as precipitation during warmest quarter, central government compensation funds, timber harvesting volume strongly influence ESV. provides valuable insights for improving policy-making rapidly developing underscoring importance protection strategies sustainable development.

Language: Английский

Prediction and Trade-Off Analysis of Forest Ecological Service in Hunan Province on Explainable Deep Learning DOI Open Access

Weisi Li,

Wenju Jing,

Yuxin Tian

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 604 - 604

Published: March 30, 2025

Ecosystem services play a crucial role in maintaining ecological balance, providing essential functions. This study examines the trade-offs and synergies among five key ecosystem forests across different regions of Hunan Province, China. Various machine learning models are compared to predict service value (ESV) levels, with most effective predictive model identified. The SHAP (SHapley Additive exPlanations) analysis is employed identify environmental management factors influencing services. Our findings reveal significant regional variations services, eastern western showing superior soil conservation forest nutrient retention. In contrast, southern regions, particularly karst areas, display fewer between likely due effectiveness policies. further reveals that such as precipitation during warmest quarter, central government compensation funds, timber harvesting volume strongly influence ESV. provides valuable insights for improving policy-making rapidly developing underscoring importance protection strategies sustainable development.

Language: Английский

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