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Spatio-Temporal Evolution and Conflict Diagnosis of Territorial Space in Mountainous–Flatland Areas from a Multi-Scale Perspective: A Case Study of the Central Yunnan Urban Agglomeration

Author

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  • Yongping Li

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
    Yunnan Institute of Land Resources Planning and Design, Kunming 650216, China
    Key Laboratory of Quantitative Remote Sensing of Yunnan, Kunming 650093, China
    Spatial Information Integration Technology of Natural Resources in Universities of Yunnan Province, Kunming 650211, China)

  • Xianguang Ma

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
    Yunnan Institute of Land Resources Planning and Design, Kunming 650216, China
    Key Laboratory of Quantitative Remote Sensing of Yunnan, Kunming 650093, China
    Spatial Information Integration Technology of Natural Resources in Universities of Yunnan Province, Kunming 650211, China)

  • Junsan Zhao

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
    Spatial Information Integration Technology of Natural Resources in Universities of Yunnan Province, Kunming 650211, China)

  • Shuqing Zhang

    (Yunnan Institute of Land Resources Planning and Design, Kunming 650216, China
    Key Laboratory of Quantitative Remote Sensing of Yunnan, Kunming 650093, China
    Spatial Information Integration Technology of Natural Resources in Universities of Yunnan Province, Kunming 650211, China)

  • Chuan Liu

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China)

Abstract

Investigating spatio-temporal differentiation patterns of land-use conflicts in mountainous and flatland regions provides critical insights for optimizing spatial regulation strategies and advancing sustainable regional development. Using the Urban Agglomeration in Central Yunnan (UACY) as a case study, the production–living–ecological space (PLES) was classified through land-use functional dominance analysis based on 2010–2020 geospatial datasets. Spatio-temporal evolution patterns and mountain–dam differentiation were analyzed using spatial superposition, dynamic degree analysis, transfer matrices, and geospatial TuPu methods. A multi-scale conflict index incorporating landscape metrics was developed to assess PLES conflict intensities across spatial scales, with contribution indices identifying key conflict-prone spatial types. Analysis revealed distinct regional differentiation in PLES distribution and evolutionary trajectories during 2010–2020. Forest Ecological Space (FES) and Agricultural Production Space (APS) dominated both the entire study area and mountainous zones, with APS exhibiting particular dominance in dam regions. Grassland Ecological Space (GES) and Other Ecological Space (OES) experienced rapid conversion rates, contrasting with stable or gradual expansion trends in other space types. Change intensity was significantly greater in mountainous zones compared to flatland area (FA). PLES conflict exhibited marked spatial heterogeneity. FA demonstrated substantially higher conflict levels than mountainous zones, with evident scale-dependent variations. Maximum conflict intensity occurred at the 4000 m scale, with all spatial scales demonstrating consistent escalation trends during the study period. ULS, FES, and WES predominantly occurred in low-conflict zones characterized by stability, whereas APS, Industrial and Mining Production Space (IMPS), RLS, GES, and OES were primarily associated with high-conflict areas, constituting principal conflict sources.

Suggested Citation

  • Yongping Li & Xianguang Ma & Junsan Zhao & Shuqing Zhang & Chuan Liu, 2025. "Spatio-Temporal Evolution and Conflict Diagnosis of Territorial Space in Mountainous–Flatland Areas from a Multi-Scale Perspective: A Case Study of the Central Yunnan Urban Agglomeration," Land, MDPI, vol. 14(4), pages 1-28, March.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:4:p:703-:d:1620685
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