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<p>Under the combined influences of urbanization, policy adjustments, and ecological restructuring, China’s rural landscapes are undergoing rapid transformation. Taking Anlong Village in Pidu District, Chengdu, as a case study, this paper analyzes the spatiotemporal evolution of a typical agroforestry settlement landscape—characterized by traditional “linpan” (forest-enclosed) villages—from 1995 to 2025, using remote sensing data, landscape pattern indices, and actor-network theory (ANT). The results indicate that land-use transformation has undergone three phases: traditional agriculture, specialized horticultural operations, and multifunctional landscape integration. Cultivated land area has continued to decrease, while construction land has expanded steadily, and forest land has exhibited fluctuating changes. ANT analysis reveals that through key events such as property rights reform and land transfer, a core network system comprising the government, enterprises, and cooperatives has been formed, incorporating the participation of multiple stakeholders. Smooth power flows, effective interest negotiation, and mechanisms for resolving conflicts have driven the landscape toward an orderly restructuring characterized by ecological centralization and industrial decentralization. Essentially, this landscape pattern directly reflects the spatial manifestation of the governance efficacy of actor networks. This study constructs a dynamic, coordinated socio-spatial model that deepens our understanding of the dynamic coupling between policy, spatial patterns, and ecological value and provides a decision-making basis for balancing environmental sustainability and rural development within the framework of the rural revitalization strategy.</p>

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Driving mechanism of Linpan Village landscape evolution in western Sichuan from the perspective of space–society coupling

  • 期刊论文

  • 发表日期：

    2026年7月27日

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  • Lei Zhang,
  • Zhenze Gou,
  • Hongfan Pu,
  • Jingxuan Zhang,
  • Shu Li

摘要

Under the combined influences of urbanization, policy adjustments, and ecological restructuring, China’s rural landscapes are undergoing rapid transformation. Taking Anlong Village in Pidu District, Chengdu, as a case study, this paper analyzes the spatiotemporal evolution of a typical agroforestry settlement landscape—characterized by traditional “linpan” (forest-enclosed) villages—from 1995 to 2025, using remote sensing data, landscape pattern indices, and actor-network theory (ANT). The results indicate that land-use transformation has undergone three phases: traditional agriculture, specialized horticultural operations, and multifunctional landscape integration. Cultivated land area has continued to decrease, while construction land has expanded steadily, and forest land has exhibited fluctuating changes. ANT analysis reveals that through key events such as property rights reform and land transfer, a core network system comprising the government, enterprises, and cooperatives has been formed, incorporating the participation of multiple stakeholders. Smooth power flows, effective interest negotiation, and mechanisms for resolving conflicts have driven the landscape toward an orderly restructuring characterized by ecological centralization and industrial decentralization. Essentially, this landscape pattern directly reflects the spatial manifestation of the governance efficacy of actor networks. This study constructs a dynamic, coordinated socio-spatial model that deepens our understanding of the dynamic coupling between policy, spatial patterns, and ecological value and provides a decision-making basis for balancing environmental sustainability and rural development within the framework of the rural revitalization strategy.