An investigation into the zoning of ecosystem sensitivity control areas in Mentougou District (Beijing, China)

PLoS One. 2024 Dec 19;19(12):e0316025. doi: 10.1371/journal.pone.0316025. eCollection 2024.

Abstract

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.

MeSH terms

  • Algorithms
  • Beijing
  • China
  • Conservation of Natural Resources* / methods
  • Ecosystem*

Grants and funding

This work was supported by the National Natural Science Foundation of China (Grant No.51778614), the Fundamental Research Funds for the Central Universities of China(Grant No.2022YJSLJ12), and the Foundation of Shanxi Key Laboratory of Watershed Built Environment with Locality of China(Grant No. WaBEL2024-02). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. There was no additional external funding received for this study.