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    晋西黄土丘陵区土地利用格局演变驱动机制及多情景模拟研究

    Research on the driving mechanism and multi-scenario simulation of land use pattern evolution in the loess hilly area of western Shanxi province

    • 摘要: 背景晋西黄土丘陵区地处黄河流域生态脆弱带,探究其土地利用演变规律是协调区域生态保护与高质量发展的关键。方法综合运用转移矩阵、动态度及PLUS模型,分析2000-2020年土地利用时空演变特征,解析自然与人文驱动因子贡献度,并设置4种情景模拟2030年土地利用格局。结果1)研究区土地利用以耕地、草地、林地为主,呈现“耕地减少、草地增加、建设用地沿河谷扩张”趋势。20年间建设用地动态度最大(5.72%),综合动态度逐期降至0.99%。2)高程是基础性约束因子,但社会经济因子作用显著:耕地扩张受交通区位影响,建设用地扩张由距政府驻地、道路距离等因素主导。3)多情景模拟显示,耕地保护情景下耕地比例24.71%,城镇发展情景下建设用地占比2.55%,生态保护情景下林草地比例76.30%,揭示不同政策目标间的权衡关系。结论PLUS模型适用性良好,模拟结果呈现“粮食安全-城镇发展-生态保护”的目标权衡,为区域水土流失治理与国土空间优化提供科学依据。

       

      Abstract: Objective The Jinxi Loess Hilly Region is located in the ecologically fragile zone of the Yellow River Basin. Investigating the evolution patterns of its land use is critical for coordinating regional ecological protection and high-quality development. Methods By comprehensively applying the transfer matrix, dynamic degree analysis, and the PLUS model, this study analyzed the spatiotemporal evolution characteristics of land use from 2000 to 2020, quantified the contributions of natural and human driving factors, and simulated the land use pattern in 2030 under four scenarios. Results 1) Land use in the study area is dominated by cultivated land, grassland, and forest land, exhibiting an overall trend of "decrease in cultivated land, increase in grassland, and expansion of construction land along river valleys." Over the 20-year period, the dynamic degree of construction land was the highest (5.72%), while the comprehensive land use dynamic degree gradually decreased to 0.99%. 2) Elevation serves as a fundamental constraining factor, yet the role of socio-economic factors is equally significant: cultivated land expansion is influenced by transportation accessibility, whereas construction land expansion is dominated by socio-economic locational factors such as distance to government seats and roads. 3) Multi-scenario simulations reveal trade-offs among different policy objectives: the cultivated land protection scenario shows the highest proportion of cultivated land (24.71%), the urban development scenario shows the highest proportion of construction land (2.55%), and the ecological protection scenario shows the highest proportion of forest and grassland (76.30%). Conclusions The PLUS model demonstrates good applicability. The simulation results present the trade-offs among the objectives of "food security, urban development, and ecological protection," providing a scientific basis for soil erosion control and land spatial optimization in the region.

       

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