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Landscape Character Identification and Zoning Management in Disaster-Prone Mountainous Areas: A Case Study of Mentougou District, Beijing

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  • Shuchang Li

    (Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Jinshi Zhang

    (Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

Abstract

Disaster-prone mountainous regions face complex human–environment conflicts resulting from the combined influences of natural disaster threats, ecosystem conservation, and resource development. This study takes Mentougou District as the research area, leveraging landscape character identification methods to develop a multidimensional evaluation framework integrating safety, ecology, and landscape aspects, providing a foundation for zoning and management decisions. Four characteristic elements—elevation, geomorphology, vegetation type, and land cover type—were extracted during the landscape character identification phase. Two-step clustering and eCognition multi-scale segmentation were used to identify 12 landscape character types (LCTs) and delineate Landscape Character Areas (LCAs). The MaxEnt model was applied during the evaluation phase to assess debris flow susceptibility. At the same time, AHP and ArcGIS spatial overlay methods were used to evaluate ecological resilience and landscape resource quality. The three-dimensional evaluation results for the 12 LCAs were clustered and manually interpreted, resulting in four levels of protection and development areas. Management strategies were proposed from three perspectives: debris flow disaster prevention, ecosystem conservation, and landscape resource development. This method provides a pathway to balance human–environment conflicts in disaster-prone mountainous regions, promoting scientific zoning management and sustainable development in vast mountainous areas.

Suggested Citation

  • Shuchang Li & Jinshi Zhang, 2024. "Landscape Character Identification and Zoning Management in Disaster-Prone Mountainous Areas: A Case Study of Mentougou District, Beijing," Land, MDPI, vol. 13(12), pages 1-20, December.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2191-:d:1544345
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    References listed on IDEAS

    as
    1. Yongchao Li & Jianping Chen & Chun Tan & Yang Li & Feifan Gu & Yiwei Zhang & Qaiser Mehmood, 2021. "Application of the borderline-SMOTE method in susceptibility assessments of debris flows in Pinggu District, Beijing, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 2499-2522, February.
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    3. Iga Solecka, 2019. "The use of landscape value assessment in spatial planning and sustainable land management — a review," Landscape Research, Taylor & Francis Journals, vol. 44(8), pages 966-981, November.
    4. Fanfan Huang & Dan Zhu & Yichen Zhang & Jiquan Zhang & Ning Wang & Zhennan Dong, 2024. "Urban Flooding Disaster Risk Assessment Utilizing the MaxEnt Model and Game Theory: A Case Study of Changchun, China," Sustainability, MDPI, vol. 16(19), pages 1-23, October.
    5. Yingxue Wang & Jiaheng Du & Jingxing Kuang & Chunxu Chen & Maobiao Li & Jin Wang, 2023. "Two-Scaled Identification of Landscape Character Types and Areas: A Case Study of the Yunnan–Vietnam Railway (Yunnan Section), China," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
    6. Fiona Nevzati & Martti Veldi & Mart Külvik & Simon Bell, 2023. "Analysis of Landscape Character Assessment and Cultural Ecosystem Services Evaluation Frameworks for Peri-Urban Landscape Planning: A Case Study of Harku Municipality, Estonia," Land, MDPI, vol. 12(10), pages 1-19, September.
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