An investigation into the zoning of ecosystem sensitivity control areas in Mentougou District (Beijing, China) DOI Creative Commons
Xiaodan Li, Haoyu Tao, Jing Li

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(12), С. e0316025 - e0316025

Опубликована: Дек. 19, 2024

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

Язык: Английский

Exploring the impact process and mechanism of geological hazards on land use from the perspective of debris flow gullies DOI Creative Commons
Xiaobo Liu, Ran Zhu, Han Zhang

и другие.

Frontiers in Earth Science, Год журнала: 2025, Номер 13

Опубликована: Май 15, 2025

Geological disasters like debris flows often profoundly affect land use, causing changes in the surrounding environment and influencing decisions of local farmers. This study selected 122 flow gullies Anning River Basin as research units developed a novel analytical approach to quantify use responses flows. Key indicators derived from this methodology were combined with ordinary least squares (OLS) regression analysis identify critical factors governing spatial distribution patterns use. Building on these analyses, further elucidated mutual interaction mechanisms between dynamics. The findings indicate that 1) cultivated rural construction are predominantly concentrated piedmont areas, accounting for 50.74% 60.04% total area, respectively. 2) concentration index values various types ranked descending order follows: water bodies, forested barren land, agricultural grasslands, built-up areas. 3) There is marked clustering relation altitude, proximity roads, population distribution, Moran’s I indices 0.975, 0.957, 0.949, respectively, indicating strong autocorrelation. impact altitude most pronounced characterized by medium-frequency flows, significant proportion (50.00%) have positive coefficients. Conversely, aspect exerts substantial influence low frequencies, majority (59.09%) results underscore slope gradient determinants within gullies. offer empirical evidence support development policies aim reduce risk occurrences while promoting sustainable management practices.

Язык: Английский

Процитировано

0

Landscape Character Identification and Zoning Management in Disaster-Prone Mountainous Areas: A Case Study of Mentougou District, Beijing DOI Creative Commons

Shuchang Li,

Jinshi Zhang

Land, Год журнала: 2024, Номер 13(12), С. 2191 - 2191

Опубликована: Дек. 15, 2024

Disaster-prone mountainous regions face complex human–environment conflicts resulting from the combined influences of natural disaster threats, ecosystem conservation, and resource development. This study takes Mentougou District as research area, leveraging landscape character identification methods to develop a multidimensional evaluation framework integrating safety, ecology, aspects, providing foundation for zoning management decisions. Four characteristic elements—elevation, geomorphology, vegetation type, land cover type—were extracted during phase. Two-step clustering eCognition multi-scale segmentation were used identify 12 types (LCTs) delineate Landscape Character Areas (LCAs). The MaxEnt model was applied phase assess debris flow susceptibility. At same time, AHP ArcGIS spatial overlay evaluate ecological resilience quality. three-dimensional results LCAs clustered manually interpreted, in four levels protection development areas. Management strategies proposed three perspectives: prevention, method provides pathway balance disaster-prone regions, promoting scientific sustainable vast

Язык: Английский

Процитировано

1

An investigation into the zoning of ecosystem sensitivity control areas in Mentougou District (Beijing, China) DOI Creative Commons
Xiaodan Li, Haoyu Tao, Jing Li

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(12), С. e0316025 - e0316025

Опубликована: Дек. 19, 2024

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

Язык: Английский

Процитировано

0