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

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0316025 - e0316025

Published: Dec. 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.

Language: Английский

Unraveling the impact of urban expansion on vegetation carbon sequestration capacity: A case study of the Yangtze River Economic Belt DOI
Jinyang Wang, Zhenfeng Shao, Peng Fu

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106157 - 106157

Published: Jan. 1, 2025

Language: Английский

Citations

2
The Role of Water Bodies in Climate Regulation: Insights from Recent Studies on Urban Heat Island Mitigation DOI Creative Commons
Zahra Jandaghian,

Andrew F. Colombo

Buildings, Journal Year: 2024, Volume and Issue: 14(9), P. 2945 - 2945

Published: Sept. 18, 2024

Urban heat islands (UHIs) pose a significant challenge in cities worldwide, exacerbating energy use, air pollution, and health risks. This paper reviews the role of water bodies mitigating UHI effects, which is vital for informed urban planning climate adaptation. We analyze how features, particularly when combined with green spaces strategic design, can significantly cool environments. The effectiveness reducing temperatures influenced by their size, shape, surrounding land climatic conditions, vegetation. Empirical research case studies indicate that larger well-shaped bodies, due to extensive surface area continuous evaporation, are more effective. Furthermore, integration enhances cooling through increased evapotranspiration shading. review highlights placement design within landscapes as crucial maximizing benefits. By integrating features other strategies, such tree planting expanded greenery, effectively counter leading sustainable resilient

Language: Английский

Citations

11
Critical signals for grassland desertification prediction in the transition zone between desert and typical steppe in InnerMongolia, China DOI Creative Commons
Baoping Meng,

Zhuoyan Jin,

Yang Chen

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113065 - 113065

Published: Jan. 1, 2025

Language: Английский

Citations

1
Assessing the environmental impact of digital and manufacturing industry co-agglomeration: Dual perspectives of geographical and virtual agglomeration DOI

Peng Deng,

Le Wen, Dong Wang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124369 - 124369

Published: Feb. 1, 2025

Language: Английский

Citations

0
Spatial Heterogeneity of Driving Factors in Multi-Vegetation Indices RSEI Based on the XGBoost-SHAP Model: A Case Study of the Jinsha River Basin, Yunnan DOI Creative Commons
Jisheng Xia, Guoyou Zhang,

Shiping Ma

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 925 - 925

Published: April 24, 2025

The Jinsha River Basin in Yunnan serves as a crucial ecological barrier southwestern China. Objective assessment and identification of key driving factors are essential for the region’s sustainable development. Remote Sensing Ecological Index (RSEI) has been widely applied assessments. In recent years, interpretable machine learning (IML) introduced novel approaches understanding complex mechanisms. This study employed Google Earth Engine (GEE) to calculate three vegetation indices—NDVI, SAVI, kNDVI—for area from 2000 2022, along with their corresponding RSEI models (NDVI-RSEI, SAVI-RSEI, kNDVI-RSEI). Additionally, it analyzed spatiotemporal variations these relationship indices. Furthermore, an IML model (XGBoost-SHAP) was interpret RSEI. results indicate that (1) levels 2022 were primarily moderate; (2) compared NDVI-RSEI, SAVI-RSEI is more susceptible soil factors, while kNDVI-RSEI exhibits lower saturation tendency; (3) potential evapotranspiration, land cover, elevation drivers variations, affecting environment western, southeastern, northeastern parts area. XGBoost-SHAP approach provides valuable insights promoting regional

Language: Английский

Citations

0
Regional differentiation of the pollution reduction effect of accountability audit of natural resource under the perspective of spatial mismatch in land supply: evidence from China DOI
Xin Zhang, Qiying Ran, Yang Xu

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 384, P. 125554 - 125554

Published: May 1, 2025

Language: Английский

Citations

0
Optimization Strategies for Ecological Security Pattern Based on the Remote Sensing Ecological Index in Yunnan Province, China DOI

Jinlin Lai,

Jiashun Li,

Li Liu

et al.

Land Degradation and Development, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 13, 2024

ABSTRACT Current research on ecological security pattern (ESP) primarily emphasizes preserving the overall connectivity of ecosystems. However, a significant gap exists in systematically identifying ecologically degraded areas and optimizing regional networks. In particular, southwestern region China, characterized by complex terrain diverse ecosystems, lacks comprehensive dynamic changes ESP. This study uses machine learning to identify primary drivers spatial patterns remote sensing index (RSEI) establishes corresponding resistance surface. Through integrating morphological analysis with circuit theory, we developed “point‐line‐area” combined ESP for Yunnan Province proposed recommendations protection. Results show that 66 sources were identified 2000, decreasing 52 2023, area increasing from 29,730.57 43,122.06 km 2 , southwest. Additionally, 69 corridors 2000 total length reducing 5934 4813 km. Ecological improved significantly; however, northeast remain sparse, contributing pressure. Furthermore, 71 65 pinch points, along 46 53 barriers, identified. Overall, source increased significantly, substantial improvements, especially such as Kunming economic circle exhibit limited functionality. Future efforts should focus expanding buffer zones restoring enhance stability.

Language: Английский

Citations

3
An investigation into the zoning of ecosystem sensitivity control areas in Mentougou District (Beijing, China) DOI Creative Commons
Xiaodan Li, Haoyu Tao, Jing Li

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0316025 - e0316025

Published: Dec. 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.

Language: Английский

Citations

0