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    流域尺度生态质量变化监测方法及扰动因素分析——以黄河流域为例

    A monitoring method and influencing factors of basin-scale ecological quality changes: A case study of the Yellow River Basin

    • 摘要: 目前,对于流域尺度的生态质量高分辨率动态变化仍然缺少认识,基于传统方法的变化监测存在很大挑战性。遥感生态指数(remote sensing ecological index,RSEI)通常被认为可以有效表征局部小范围生态质量,但是对于其在大范围流域尺度方面的适用性并不清楚。该文提出了一种面向流域尺度高分辨率生态质量变化监测框架,基于2013—2024年间的Landsat8和Landsat9地表反射率数据,获得了12 a间黄河流域30 m空间分辨率逐年的生态质量图,结合气温、降水、潜在蒸散量、人口密度、高程及总初级生产力数据,分析了影响黄河流域生态质量变化的主要因素。研究结果表明: ①黄河流域RSEI整体呈上升趋势,RSEI值由西北向东南逐渐增大; ②2013—2024年间黄河流域生态质量整体呈改善趋势,显著改善和不显著改善的面积分别占比为30.61%和29.53%,其面积分别为30.97×104 km2和29.87×104 km2; ③多种因素共同驱动了生态质量的变化,其中高程是流域生态质量时空变化的关键影响因素,降水、气温和潜在蒸散量等影响因子的作用逐渐增强。研究可为流域尺度生态质量监测提供一种有效的分析框架与科学依据。

       

      Abstract: Currently, traditional monitoring methods struggle to obtain high-resolution data on the dynamic changes of ecological quality at the basin scale. The remote sensing ecological index (RSEI) is generally considered an effective representation of local ecological quality at a small scale. However, its applicability to the basin-scale ecological quality remains unclear. This study proposed a high-resolution monitoring framework for basin-scale ecological quality changes. Based on the Landsat8 and Landsat9 surface reflectance data from 2013 to 2024, the annual ecological quality maps with resolution of 30 m were generated for the Yellow River Basin over 12 years. These maps, combined with data on temperature, rainfall, potential evapotranspiration, population density, elevation, and gross primary productivity, were employed to analyze the dominant factors influencing ecological quality changes in the basin. The results indicate that the RSEI of the Yellow River Basin exhibited a rising trend overall, with values increasing gradually from northwest to southeast. Its ecological quality showed an overall improvement during the study period, with significantly and insignificantly improved areas accounting for 30.61% (30.97×104 km2) and 29.53% (29.87×104 km2), respectively. The changes in ecological quality were driven by multiple factors. Notably, elevation served as a dominant factor influencing the spatiotemporal changes of ecological quality in the basin, while the effects of rainfall, temperature, and potential evapotranspiration were gradually enhanced. Overall, this study is expected to provide an effective analytical framework and scientific basis for monitoring basin-scale ecological quality.

       

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