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Landscape Ecological Risks to Rural Landscape and Planning Implications: A Case Spatio-Temporal Analysis in Xiangxi Autonomous Prefecture of SW China

Author

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  • Suifeng Zhang

    (School of Civil and Environmental Engineering, Hunan University of Technology, Zhuzhou 412000, China)

  • Yu Chen

    (School of Architecture and Urban Planning, Hunan City University, Yiyang 413000, China
    Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province, Yiyang 413000, China)

  • Shixiong Xie

    (School of Civil and Environmental Engineering, Hunan University of Technology, Zhuzhou 412000, China)

  • Ran Xiao

    (School of Civil and Environmental Engineering, Hunan University of Technology, Zhuzhou 412000, China)

  • Xin Liu

    (School of Civil and Environmental Engineering, Hunan University of Technology, Zhuzhou 412000, China)

  • Shijie Tang

    (Shanghai Academy of Fine Arts, Shanghai University, Shanghai 200444, China)

Abstract

Maintaining regional landscape ecological stability and enhancing rural landscape ecosystem services are critical research priorities. This study selected Xiangxi Autonomous Prefecture (XXAP), a representative mountainous region in Southwestern (SW) China, as the case study area. This study aims to construct a rural landscape ecological risk (RLER) evaluation index system based on five-period remote sensing data (2000–2020), analyze the spatio-temporal characteristics of RLER, and provide a scientific basis for landscape ecological management and rural spatial governance. The results show that the RLERI exhibited a balanced multi-ring development trend, decreasing slightly from 0.295 in 2000 to 0.282 in 2020, suggesting a slight alleviation of overall risk. Medium-risk areas of the RLERI consistently accounted for the largest proportion (over 37%). Notably, the share of high-risk areas remained relatively stable, fluctuating narrowly between 7.98% and 8.73%. Meanwhile, high-risk areas of the landscape disturbance degree (LDD) expanded markedly from 1.87% to 10.28%. Correspondingly, high-risk areas of the landscape fragility degree (LFD) also increased significantly, rising from 0.93% to 2.8%. Spatially, RLER displayed significantly positive spatial autocorrelation, with high–high (H-H) clusters concentrated in the central-southern part and low–low (L-L) clusters distributed in the northern and southern margins, indicating pronounced spatial differentiation. In conclusion, this study provides a transferable framework for ecological risk assessment in mountainous regions. Furthermore, it underscores the importance of optimizing landscape patterns in ecologically fragile areas, strengthening ecological risk management, and mitigating ecological risks in rural settings.

Suggested Citation

  • Suifeng Zhang & Yu Chen & Shixiong Xie & Ran Xiao & Xin Liu & Shijie Tang, 2026. "Landscape Ecological Risks to Rural Landscape and Planning Implications: A Case Spatio-Temporal Analysis in Xiangxi Autonomous Prefecture of SW China," Sustainability, MDPI, vol. 18(13), pages 1-23, July.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:13:p:6832-:d:1983753
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