Data description and sources.

To achieve a more precise delineation of ecosystem sensitivity control areas, this study examines the Mentougou District in Beijing and introduces the Ecosystem Sensitivity Control Area Classification Method (ESCACM). This novel approach combines single-factor sensitivity analysis, multi-factor comprehensive sensitivity assessments, and strategies for zoning based on various ecological scenarios. The study categorizes the region into three specific zones: first-level management and control areas, second-level management and control areas, and non-management and control areas. The key findings are: (1) By systematically categorizing relevant factors, the method creates independent, non-overlapping groups, effectively reducing dimensionality. (2) After conducting a comprehensive sensitivity assessment using multiple factors, scientifically quantified values are assigned to each zone. These values are processed through mathematical overlay algorithms, which generate composite results with different sensitivity levels. This method places a strong emphasis on quantitative analysis, thereby enhancing the objectivity and precision of the results. (3) The use of multi-scenario ecosystem sensitivity zoning strategies enhances the adaptability and flexibility of the zoning process. This method significantly improves the accuracy and scientific credibility of ecosystem sensitivity zoning, providing a versatile approach to meet the varied zoning needs of different regions. This model serves as a valuable framework for promoting ecological protection efforts in support of sustainable urban development objectives.

为更精准地划定生态敏感性管控区域，本研究以北京市门头沟区为研究区域，提出了生态敏感性管控区域分类方法（Ecosystem Sensitivity Control Area Classification Method，ESCACM）。该创新方法融合了单因子敏感性分析、多因子综合敏感性评价以及基于多生态情景的分区策略。本研究将该区域划分为三类管控分区：一级管控区、二级管控区与非管控区。

核心研究发现如下：
(1) 通过对相关影响因子进行系统化归类，该方法可生成独立且无重叠的因子群组，有效实现维度约减。
(2) 在完成多因子综合敏感性评价后，为各分区赋予科学量化的赋值，并通过数学叠加算法对赋值结果进行处理，生成具备不同敏感性等级的综合成果。该方法高度重视定量分析，由此提升了研究结果的客观性与精准性。
(3) 采用多情景生态敏感性分区策略，可增强分区流程的适应性与灵活性。

该方法显著提升了生态敏感性分区的准确性与科学可信度，可为不同区域的多样化分区需求提供普适性解决方案。本研究构建的模型可为推动生态保护工作、支撑城市可持续发展目标提供极具价值的分析框架。