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    基于 FLUS-InVEST 模型的黄河中游水土流失敏感区土壤侵蚀时空格局变化

    Spatio-temporal pattern change of soil erosion characteristics in the sensitive area of soil erosion in the middle Yellow River based on the FLUS-InVEST model

    • 摘要: 目的探究黄河中游水土流失敏感区土地利用变化及其对土壤侵蚀特征的影响,有助于优化区域空间布局,为支撑黄河流域生态环境保护与可持续发展提供科学依据。方法基于FLUS-InVEST模型,以吕梁山区为研究靶区,利用2003—2023年5期土地利用等多源数据分析过去并模拟2033年不同情景下土地利用变化及其对土壤侵蚀格局的影响。结果(1)2003—2023年,吕梁山区土地利用结构主要表现为“两减(耕地和草地)两增(林地和建设用地)”,“草地—耕地”间的双向转化及“草地”向“林地”的转化尤为明显。(2)2003—2023年单位土壤侵蚀累积量降幅达85.1%,林地的增加是吕梁山区土壤侵蚀减少的主要因素;在空间上,临汾—吕梁西部仍长期处于高侵蚀风险区。(3)2033年不同情景下,经济发展情景(S2)的土地利用结构最为优化,总体侵蚀强度呈草地(3.263×106 t) > 耕地(2.162×106 t) > 林地(0.797×106 t),林地抗蚀能力仍显著优于其他地类。结论因此,对于吕梁山区,应加强梯田—淤地坝系统建设及协调配置水土资源、优化国土空间格局,以降低区域侵蚀风险。

       

      Abstract: Background The middle reaches of the Yellow River represent a critical ecological zone highly susceptible to soil erosion, especially in the Lvliang Mountains, which severely threatens regional ecological security and sustainable development. Understanding the impact of land use change on soil erosion in this sensitive area is urgently needed for water and soil conservation and ecological restoration efforts. Methods In this paper, the spatial and temporal characteristics of land use changes and soil erosion in the core zone of the middle Yellow River basin in Lvliang Mountains were analyzed based on the FLUS and InVEST models from 2003 to 2023. Combined with multi-source datasets including land use data, population, gross domestic product, rainfall, digital elevation model, soil properties and road network data. The FLUS model was employed to conduct Kappa coefficient validation for the land use data of 5 periods, the InVEST model was then used to simulate soil erosion magnitude. And further simulated the impacts of land use changes on soil erosion under the different scenarios (S1: natural development scenario, S2: economic priority development scenario, S3: cultivated land protection scenario, S4: ecological protection scenario) in 2033. Results The results showed that: (1) The land use types were dominated by cultivated land, forestland, grassland and construction land and they changed significantly in Lvliang Mountains from 2003 to 2023. The land use structure showed a trend of “2 decreases and 2 increases”. The cultivated land and the grassland decreased 4.04% and 10.66%, respectively, while forestland and construction land increased significantly 20.50% and 58.25%, respectively. The bidirectional conversion between “grassland—cultivated land”, as well as conversion from grassland to forest land were the most prominent types of land use change. (2) The cumulative soil erosion amount per unit area has decreased remarkably by 85.1% during the past 20 years. Among them, the soil erosion in forestland, grassland and cultivated land decreased by 86.18%, 85.82% and 84.18%, respectively. Furthermore, the spatial distribution pattern remained relatively stable, showing a characteristic of higher in west and south, lower in east and north. The western Linfen—Lvliang region continues to be the highest erosion risk zone, accounting for approximately 15% of the total study area.(3) Multi-scenario simulations indicated that soil erosion is regulated by land use areas and spatial distribution in 2033. The impact of land use pattern on soil erosion in future are significantly different. Among these scenarios, the economic development scenario (S2) is the most optimized land use structure. The overall soil erosion intensity indicated that grassland (3.263×106 t) is the highest erosion intensity, followed by the cultivated land (2.162×106 t) and forestland (0.797×106 t). Forestland demonstrates significantly superior erosion resistance compared to other land cover types. Conclusions The implementation of ecological conservation policies in the Lvliang Mountains significantly mitigated soil erosion intensity, indicating their role as a dominant factor. To further reduce regional erosion risks, it is essential to enhance the construction of terrace-check-dam systems, promote coordinated allocation of water and soil resources, and optimize territorial spatial planning. This study establishes a scientific foundation for decision-making in mitigating soil erosion, ecological conservation, regional spatial optimization in the Lvliang Mountains.

       

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