Xiaodan Li, Haoyu Tao, Jing Li, Zhen Liu, Zhiping Liu
{"title":"北京市门头沟区生态系统敏感控制区分区研究。","authors":"Xiaodan Li, Haoyu Tao, Jing Li, Zhen Liu, Zhiping Liu","doi":"10.1371/journal.pone.0316025","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"19 12","pages":"e0316025"},"PeriodicalIF":2.6000,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11658590/pdf/","citationCount":"0","resultStr":"{\"title\":\"An investigation into the zoning of ecosystem sensitivity control areas in Mentougou District (Beijing, China).\",\"authors\":\"Xiaodan Li, Haoyu Tao, Jing Li, Zhen Liu, Zhiping Liu\",\"doi\":\"10.1371/journal.pone.0316025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":20189,\"journal\":{\"name\":\"PLoS ONE\",\"volume\":\"19 12\",\"pages\":\"e0316025\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11658590/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PLoS ONE\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1371/journal.pone.0316025\",\"RegionNum\":3,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLoS ONE","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1371/journal.pone.0316025","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
An investigation into the zoning of ecosystem sensitivity control areas in Mentougou District (Beijing, China).
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.
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