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    土地利用与景观格局变化对北洛河流域水沙演变的响应

    Response of land use and landscape pattern changes to the evolution of runoff and sediment in the Beiluo River Basin

    • 摘要: 北洛河作为黄土高原关键泥沙源区,其水土流失问题通过退耕还林(草)等生态工程引发显著的土地利用与景观格局演变。为深入探究流域内土地利用类型及景观格局指数对水沙演变的响应机制,本研究通过对北洛河流域土地利用与景观格局指数进行解析,结合北洛河径流量和输沙量,分析水沙变化趋势及其与土地利用转型、景观格局演变的耦合关系。结果表明:1)1990—2023年间北洛河流域土地利用发生显著转型,生态用地(林地 + 草地)比例提升至74.94%,耕地减少695.26 km2,林地和草地增加495.64 km2,耕地主要转化为林草覆被;2)景观指数显示耕地与林地斑块密度增加,分别由0.23、0.19增至0.32、0.23,散布与并列指数(IJI)同步上升。草地平均斑块面积增加,最大斑块指数从8.4%提升至10.2%;3)耕地面积及其景观格局特征与输沙量显著正相关,草地面积及其景观格局特征与输沙量显著负相关(P < 0.05),但二者与径流量相关性未达显著水平;4)径流量与输沙量存在非线性响应关系(R2 = 0.61),存在其他因素导致输沙过程对径流变化的敏感性降低。北洛河流域输沙量与土地利用和景观格局相关性较大,流域内林地与草地景观优势度上升,内部景观趋向多样化和复杂化发展,对泥沙削减具有积极促进作用。

       

      Abstract:
      Background As a key sediment source area in the Loess Plateau, the Beiluo River Basin has experienced severe soil erosion, which has triggered significant changes in land use and landscape patterns through ecological projects such as the Grain for Green Program. This study aims to deeply investigate the response mechanisms of land use types and landscape pattern indices to water-sediment dynamics, reveal the coupling relationship between hydrological processes and the evolution of land use and landscape patterns, clarify the impact mechanisms of ecological restoration on water-sediment interactions, and provide a scientific basis for watershed ecosystem management.
      Methods This study adopted multi-source data integration and spatial analysis techniques to systematically examine the spatiotemporal evolution of land use and landscape patterns in the Beiluo River Basin over past 30 years. Data processing and spatial analysis were conducted using ArcGIS 10.8 and Fragstats, while statistical analysis was performed with Origin. Long-term observational data on runoff and sediment load from multiple hydrological stations within the basin were integrated. Pearson correlation analysis was used to quantify the relationships between land use types, landscape pattern indices, and water-sediment variables. Regression models were further established to interpret their quantitative connections, and the influence mechanisms of land use and landscape patterns on water-sediment dynamics were systematically analyzed from multi-dimensional spatial and temporal perspectives.
      Results 1) Significant land use transformation occurred in the Beiluo River Basin from 1990 to 2023. The proportion of ecological land (forestland + grassland) increased to 74.94%, while cropland area decreased by 695.26 km2, and forestland and grassland areas increased by 495.64 km2. Most of the converted cropland was transformed into forest and grass cover. 2) Analysis of landscape pattern indices showed that the patch density of cropland and forestland increased from 0.23 to 0.32 and from 0.19 to 0.23, respectively, and the interspersion and juxtaposition index (IJI) also rose synchronously. The mean patch area of grassland expanded, and the largest patch index increased from 8.4% to 10.2%. 3) Correlation analysis demonstrated a significant positive correlation between cropland area and its landscape pattern characteristics with sediment load (P < 0.05), while grassland area and its landscape pattern features showed a significant negative correlation with sediment load (P < 0.05). However, the correlations between both cropland and grassland with runoff were not statistically significant. 4) A nonlinear response relationship was identified between runoff and sediment load (R2 = 0.61), indicating that other factors have reduced the sensitivity of sediment load to runoff variations.
      Conclusions Sediment load in the Beiluo River Basin is closely correlated with land use and landscape patterns. The increasing landscape dominance of forestland and grassland, along with the trend toward internal diversification and structural complexity, has enhanced vegetation-mediated soil stabilization, significantly promoting sediment reduction. The findings provide a scientific basis for land use planning, landscape optimization, and ecological conservation in the basin, and offer transferable insights for ecological restoration in the Loess Plateau and other ecologically vulnerable regions globally.

       

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