基于GIS的县域尺度生态敏感性评价——以甘肃省阿克塞县和肃北县为例

    Ecological sensitivity assessment at county scale based on GIS: A case study of Aksai County and Subei County in Gansu Province

    • 摘要: 阿克塞县和肃北县地处西北内陆干旱区, 气候条件相对恶劣, 沙化、荒漠化、盐碱化是区内主要的生态环境问题.结合野外查证和相关数据源, 选取地质、植被、人类活动和气象4个指标层10项单因子, 采用层次分析法, 构建县域尺度的生态敏感性评价体系.在GIS空间分析功能支持下, 对研究区进行生态敏感性评价, 按自然间断点法将评价结果划分为极低敏感性、低敏感性、中度敏感性、高敏感性和极高敏感性.结果表明: 研究区生态敏感性以中度敏感性为主, 占全区面积的29.12%;低敏感区占比为24.98%;高敏感性和极高敏感性区分别占区域面积的19.59%和16%;极低敏感性占比仅为10.31%.区内生态敏感性的莫兰指数值为0.942, 表现出极高的空间聚集状态.

       

      Abstract: Aksai County and Subei County are located in the arid inland region of Northwest China, characterized by relatively harsh climatic conditions, with desertification, sandification, and salinization as the critical ecological environmental problems in the area. Based on the field verification and relevant data sources, four index layers of geology, vegetation, human activities and meteorology with 10 single factors are selected to construct an ecological sensitivity evaluation system at county scale by analytic hierarchy process(AHP). Supported by GIS spatial analysis function, the paper assesses the ecological sensitivity in the study area. The evaluation results are classified into five levels according to the Natural Breaks method, i.e. extremely low sensitivity, low sensitivity, moderate sensitivity, high sensitivity, and extremely high sensitivity. The moderate sensitivity dominates the study area, accounting for 29.12% of the total area; while low sensitivity areas 24.98%, high and extremely high sensitivity areas 19.59% and 16% respectively, and extremely low sensitivity areas only 10.31%. The Moran's I index value for ecological sensitivity in the area is 0.942, indicating an extremely high degree of spatial clustering.

       

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