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Synergistic Zoning and Management Strategies for Ecosystem Service Value and Ecological Risk at the County Level: A Case Study of Songzi City, Hubei Province, China

Author

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  • Tingting Han

    (Key Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Jing Luo

    (Key Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
    Hubei Institute of Economic and Social Development, Central China Normal University, Wuhan 430079, China)

  • Yilin Gan

    (Key Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Yaru Sun

    (Key Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Lingling Tian

    (Key Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

Abstract

Counties are fundamental units for ecological restoration, where scientifically delineated zoning is essential for resource allocation and governance. This study proposes a dual-dimensional, multi-source ecological zoning framework combining ecosystem service value (ESV) and Comprehensive Ecological Risk Index (CERI), with the CERI incorporating endogenous, exogenous, and regulatory ecological risk, providing a holistic representation of county-level ecological risk mechanisms. A Self-Organizing Map (SOM) neural network model clusters ESV and CERI, identifying spatial conflict zones and enabling high-resolution ecological management unit delineation. The results indicate the following: (1) The total ESV of Songzi City amounts to CNY 7.64 billion, showing spatial heterogeneity high-value clustering and low-value dispersion pattern, and water bodies and woodlands contributing 49.17% and 29.61%, respectively. (2) The spatial distribution of CERI is high in the central and eastern regions, and low in the west pattern, radiating from river systems under the combined effects of endogenous, exogenous, and regulatory risks. (3) Based on SOM clustering, four service clusters are identified and classified into ecological preventive conservation, vulnerability restoration, safeguard restoration, and improvement and utilization, shifting from broad-scale control to targeted ecological governance. This framework addresses the limitations of traditional single-dimensional risk assessments and provides a scientific basis for sustainable county-level ecological management.

Suggested Citation

  • Tingting Han & Jing Luo & Yilin Gan & Yaru Sun & Lingling Tian, 2025. "Synergistic Zoning and Management Strategies for Ecosystem Service Value and Ecological Risk at the County Level: A Case Study of Songzi City, Hubei Province, China," Land, MDPI, vol. 14(5), pages 1-19, May.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:5:p:1021-:d:1651227
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    References listed on IDEAS

    as
    1. Raj, Alok & Sharma, Laxmi Kant, 2023. "Spatial E-PSR modelling for ecological sensitivity assessment for arid rangeland resilience and management," Ecological Modelling, Elsevier, vol. 478(C).
    2. Zhao, Xiaoqing & Xu, Yifei & Pu, Junwei & Tao, Junyi & Chen, Yanjun & Huang, Pei & Shi, Xinyu & Ran, Yuju & Gu, Zexian, 2024. "Achieving the supply-demand balance of ecosystem services through zoning regulation based on land use thresholds," Land Use Policy, Elsevier, vol. 139(C).
    3. Yinglong Hu & Xinxiang Chen & Guoliang Zhao & Xuejun Liu & Jian Yu & Min Li & Yang Liu & Xiaotong Hu & Rui Zhong & Yingbiao Chen, 2022. "Ecosystem Service Responses to Land Use Change in Southern Guangzhou—The Practice of Applying Natural Resources Integrated Database for Research," Land, MDPI, vol. 11(7), pages 1-27, July.
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