基于PLUS模型的川滇生态屏障区土地利用变化及多情景模拟预测

Land Use Change and Multi-Scenario Simulation Prediction in the Chuan-Dian Ecological Barrier Zone Based on the PLUS Model

  • 摘要:
    目的 分析近30年川滇生态屏障区土地利用时空变化特征,并预测模拟未来多情景下的土地利用格局。
    方法 利用1990 ~ 2020年7期(5年间隔)土地利用遥感数据,结合土地利用动态度、转移矩阵和PLUS(Patch-generating Land Use Simulation Model)模型情景模拟。
    结果 林地面积持续扩展,占比由59.91%增至63.16%;建设用地快速增加,增幅302.02%;草地和湿地显著退化,分别减少15.73%和86.56%。综合自然与社会经济因素分析表明,气候变化、城镇化和生态工程共同驱动了土地利用格局的演变。2020年模拟结果表明,Kappa系数为0.913、总体精度为0.952,验证了PLUS模型在土地利用模拟中的适用性。进一步设定自然发展、城镇扩张、粮食安全和生态保护四种情景,模拟预测了2030年与2060年的土地利用变化。自然发展与城镇扩张强调经济增长但牺牲耕地和生态空间;粮食安全保障耕地却抑制林地;生态保护提升生态功能但削弱农业空间。
    结论 综合情景模拟结果可为区域空间规划、生态保护修复及可持续发展决策提供科学参考。

     

    Abstract:
    Objective The aim was to analyze the spatiotemporal dynamics of land use in the Chuan-Dian Ecological Barrier Zone over the past 30 years, and in order to predict and simulate future land use patterns under multiple scenarios.
    Method The 7 periods (at 5-year intervals) of land use remote sensing data from 1990 to 2020 were utilized, combined with the land use dynamic degree, land use transition matrix and scenario simulations using the PLUS model.
    Result Forest land area continued to expand, its proportion increased from 59.91% to 63.16%; while construction land increased rapidly (by 302.02%). In contrast, grassland and wetland degraded significantly (decreasing by 15.73% and 86.56%, respectively). Comprehensive analysis incorporating natural and socio-economic factors indicated that climate change, urbanization and ecological projects jointly drove the evolution of the land use pattern. The simulation results for 2020, validated by a Kappa coefficient of 0.913 and an overall accuracy of 0.952, confirmed the applicability of the PLUS model for land use simulation in this study. Four scenarios (natural development, urban expansion, food security and ecological protection) were established to simulate and predict land use changes for 2030 and 2060. The natural development and urban expansion scenarios prioritize economic growth but at the cost of cultivated land and ecological space. The food security scenario safeguards cultivated land but suppresses forest land growth. The ecological protection scenario enhances ecological functions but constrains agricultural space.
    Conclusion The integrated scenario simulation results can provide scientific references for regional spatial planning, ecological protection and restoration, and sustainable development decision-making.

     

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