魏玺, 阳大智, 蔡湘文, 邵亚, 唐湘玲. 基于Google Earth Engine的漓江流域生态环境质量评价及驱动因子分析[J]. 中国生态农业学报(中英文). DOI: 10.12357/cjea.20230633
引用本文: 魏玺, 阳大智, 蔡湘文, 邵亚, 唐湘玲. 基于Google Earth Engine的漓江流域生态环境质量评价及驱动因子分析[J]. 中国生态农业学报(中英文). DOI: 10.12357/cjea.20230633
WEI X, YANG D Z, CAI X W, SHAO Y, TANG X L. Ecological environmental quality evaluation and driving factor analysis of the Lijiang River Basin, based on Google Earth Engine[J]. Chinese Journal of Eco-Agriculture, 2024, 32(0): 1−17. DOI: 10.12357/cjea.20230633
Citation: WEI X, YANG D Z, CAI X W, SHAO Y, TANG X L. Ecological environmental quality evaluation and driving factor analysis of the Lijiang River Basin, based on Google Earth Engine[J]. Chinese Journal of Eco-Agriculture, 2024, 32(0): 1−17. DOI: 10.12357/cjea.20230633

基于Google Earth Engine的漓江流域生态环境质量评价及驱动因子分析

Ecological environmental quality evaluation and driving factor analysis of the Lijiang River Basin, based on Google Earth Engine

  • 摘要: 评价生态环境质量并分析其变化原因, 对区域生态管理具有重要意义。本文基于Google Earth Engine (GEE)平台, 计算1991年、2001年、2011年和2021年4个时期的漓江流域的遥感生态指数, 利用空间自相关分析漓江流域生态环境质量的时空变化, 并运用地理探测器进一步定量解析影响生态环境质量的因素及其交互影响。结果表明: (1) 1991—2021年, 漓江流域生态环境质量得到显著改善; 生态环境质量较好和好的区域面积增加19.69% (3406.57 km2), 差和较差区域面积减少10.76% (1860.30 km2)。(2)从空间上看, 漓江流域生态环境质量呈现中部低四周高的格局, 其中, 桂林市区、平乐县、灵川县生态环境质量较差, 永福县、恭城瑶族自治县(东部和西北部)等高海拔地区生态环境质量逐步改善。(3) 1991—2021年, 漓江流域生态环境质量空间存在显著正相关关系, 高-高集聚区以林地和草地为主, 生态环境质量较好; 低-低集聚区以耕地和建设用地为主, 生态环境质量较差。(4)年平均降水量和年平均气温对漓江流域生态环境的影响最为显著, 且两者与其他因素相互作用影响力也最大。研究旨在加强对漓江流域生态环境演变的认识, 为该地区生态环境相关决策和管理提供科学指导。

     

    Abstract: For regional ecological management, it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes. Using the Google Earth Engine (GEE) platform, the remote sensing ecological index (RSEI) was calculated for the Lijiang River Basin in Guangxi Zhuang Autonomous Region for 1991, 2001, 2011, and 2021. Spatial autocorrelation analysis was employed to investigate spatiotemporal variations in the ecological environmental quality of the Lijiang River Basin. Furthermore, geographic detectors were used to quantitatively analyze influencing factors and their interaction effects on ecological environmental quality. The results verified that: (1) From 1991 to 2021, the ecological environment of the Lijiang River Basin demonstrated significant improvement. The area with good and excellent ecological environmental quality increased by 19.69% (3406.57 km2), while the area with fair and poor ecological environmental quality decreased by 10.76% (1860.30 km2). (2) Spatially, the ecological environmental quality of the Lijiang River Basin exhibited a pattern of low quality in the central region and high quality in the periphery. Specifically, poor ecological environmental quality characterized the Guilin urban area, Pingle County, and Lingchuan County. (3) From 1991 to 2021, a significant positive spatial correlation was observed in ecological environmental quality of the Lijiang River Basin. Areas with high-high agglomeration were predominantly forests and grasslands, indicating good ecological environmental quality, whereas areas with low-low agglomeration were dominated by cultivated land and construction land, indicating poor ecological environmental quality. (4) Annual average precipitation and temperature exerted the most significant influence on the ecological environment of the basin, and their interactions with other factors had the greatest influence. This study aimed to enhance understanding of the evolution of the ecological environment in the Lijiang River Basin of Guangxi Zhuang Autonomous Region and provide scientific guidance for decision-making and management related to ecology in the region.

     

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