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    基于PLUS-CSLE模型的山西吉县土地利用变化情景模拟与土壤侵蚀预测

    Scenario simulation of land use change and soil erosion prediction in Jixian county of Shanxi based on the PLUS-CSLE model

    • 摘要: 目的山西吉县位于黄河中游地区,生态环境本底较为脆弱,模拟其未来土地利用与土壤侵蚀演变,对当地后续土地利用规划和水土资源可持续管理有重要意义。方法本研究基于土地利用、气象、遥感、经济等多元数据,集成PLUS、CSLE模型与CMIP6气候数据,预测2030年多种土地利用变化情景下县域的土壤侵蚀状况,并用地理探测器对县域土壤侵蚀的驱动因素进行了分析。结果1)吉县2010至2020年土地利用变化主要表现为“林地、草地与建设用地面积增长、耕地面积下降”,土地利用转化以草地与耕地之间双向转化为主。2)2010年至2020年吉县土壤侵蚀状况得到明显改善,全县平均土壤侵蚀模数由1127.75 t/(km²·a)下降至888.82 t/(km²·a)。3)地理探测器显示:坡度是影响县域土壤侵蚀空间分布的主要自然驱动要素,距道路距离则是主要的社会驱动要素,因子间的交互作用增强了对土壤侵蚀空间分异的解释力。4)2030年吉县在不同发展情景下土地利用格局差异显著,对比各情景土壤侵蚀状况显示,生态保护情景下的土壤侵蚀强度最低。结论选取生态保护为导向的发展模式优化土地利用格局,科学统筹城镇建设与生态保护,是实现县域可持续发展的关键,后续管控的重点是调控县域中部建筑用地、耕地与林草地之间的动态平衡,提升林草地面积占比,加强陡坡植被恢复与耕地水土流失治理。

       

      Abstract: Objective Jixian County, located in the middle reaches of the Yellow River in Shanxi Province, has a relatively fragile ecological environment. Assessing future land use and soil erosion dynamics in this area is critical for guiding subsequent land use planning and ensuring the sustainable management of local soil and water resources. Methods This study integrated the PLUS model and the Chinese Soil Loss Equation (CSLE) with CMIP6 climate data. Based on multiple datasets (including land use, meteorological, remote sensing, and economic data), we predicted county-level soil erosion in Jixian County for 2030 under various land use scenarios and analyzed its driving factors using a geographic detector. Results 1) From 2010 to 2020, the land use changes in Jixian County were mainly characterized by an increase in the area of woodland, grassland, and construction land, alongside a decrease in cultivated land. The land use transformation primarily involved bidirectional conversion between grassland and cultivated land. 2) Soil erosion conditions in Jixian County improved markedly from 2010 to 2020, with the county's average soil erosion modulus decreasing from 1127.75 t/(km²·a) to 888.82 t/(km²·a). 3) Geographic detectors indicate that slope is the primary natural driver influencing the spatial distribution of soil erosion within the county, while distance from the road is the principal social driver. The interaction between these factors enhances the explanatory power for spatial differentiation of soil erosion. 4) By 2030, Jixian County's land use patterns are projected to differ markedly across development scenarios. A comparative analysis of soil erosion conditions under these scenarios shows that the ecological conservation scenario results in the lowest soil erosion intensity. Conclusions The study indicates that adopting an ecologically oriented development model to optimize land use patterns and scientifically coordinating urban construction with ecological protection is key to achieving sustainable development at the county level. Future management should focus on regulating the dynamic balance among construction land, farmland, forest and grassland in the central county area, increasing forest and grass coverage, and strengthening both vegetation restoration on steep slopes and soil erosion control on farmland.

       

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