基于区域背景——斑块状态的矿业城市资源型生态关键地段识别

The Identification of Resource Critical Portion in Mining City Based on BSM

资源型生态关键地段对于维护和控制区域生态系统安全具有重要意义,对矿业城市资源型生态关键地段进行识别是量化矿业城市生态风险、保障生态可持续发展的有效途径。构建区域背景与斑块状态相结合的识别体系,从宏观上对次级行政区区域背景进行生态关键度分级;通过计算斑块的矿业活动指数、斑块生态脆弱度和生态损失度,从微观上反映斑块的生态关键度。应用Arc GIS空间叠加分析功能,将大冶市资源型关键地段分为原生型、损益型和扰动型,分别占总面积的36.83%,19.45%,43.72%。结果表明,基于BSM的资源型关键地段识别是分析区域生态现状的有效方法,对矿业城市生态环境治理和生态用地规划具有重要参考价值。

The resource ecological critical portion is significant to maintain and control the safety of ecology system and the identification of which in mining city is an effective way to quantize the ecological risk and guarantee the sus- tainable development of the ecology system. Based on the background - state model, the ecological critical degree of the background is graded from tile macroscopic view and that of the state is also shown from the microscopic view through calculations of mineral activities index, patch sensitivity index and patch loss index. By using ArcGIS, Daye resource critical portions are divided into protogenic critical portion, damage critical portion and disturbance critical portion, covering 36.83%, 19.45% and 43.72% respectively. The results show that the identification of resources ecological critical portion based on BSM is an effective method to analyze the present situation of regional ecology, which helps to manage the ecological environmental of mining city and ecological land planning.