{"title":"Research on ecological quality and restoration of fragile mining areas in the Yellow River Basin—The case of Xiegou coal mine","authors":"Xin Sui , Yiming Sun , Xuan Wang , Jin Yuan","doi":"10.1016/j.ecolind.2025.113426","DOIUrl":null,"url":null,"abstract":"<div><div>Coal mining can seriously damage the ecological quality of the environment, especially in the ecologically fragile areas of the Yellow River Basin. Thus, a detailed analysis of the spatiotemporal dynamics and drivers of ecological quality in fragile coal mining areas is vital for ensuring the ecological security of the Loess Plateau and restoring the Yellow River Basin’s ecosystems to support sustainable development. The Google Earth Engine (GEE) platform enables efficient extraction of long-term remotely sensed data, significantly enhancing monitoring capabilities for temporal analysis. Therefore, this study evaluates the ecological quality of the mining area for 20 years (2002–2022) based on the Remote Sensing of Ecology Index computed by GEE on a 30 m grid scale in an all-round way of spatial heterogeneity, spatial statistics and trend analysis and combines it with the ecological network constructed through landscape ecology to provide opinions on ecological restoration of the mining area. The results show that (1) the overall ecological quality of the study area shows a decreasing trend, and the change in ecological quality is closely related to urban development and coal mining. (2) The distribution of ecological quality is correlated, with high-value areas concentrated in the gently sloping vegetation areas in the south and north, and most urban and <em>peri</em>-urban areas are low-value areas. (3) Among the drivers of ecological quality, Net Primary Productivity mainly positively affects the central urban area and negatively affects the steep-slope areas in the north and south. Normalized Vegetation Index positively affects the central and southern areas and negatively affects the urban and higher elevation areas. Temperature positively affects the southeastern portion of the study area and negatively affects the rest of the area, especially the areas with higher slopes, which have significant negative impacts. Precipitation has negative impacts, mainly in urban areas. (4) In terms of the development trend of ecological quality, the proportion of land with ecological deterioration in the future is 53.72 %, which is mainly distributed in the urban, mining, and southeastern areas, and the proportion of areas with ecological improvement in the future is 44.42 %, which is distributed in the northern and southwestern areas with gentle slopes. The ecologically fragile areas of the Yellow River Basin are characterized by complex geological conditions and multifactorial influences, necessitating urgent restoration. This study proposes a hierarchical restoration framework by integrating spatiotemporal ecological quality analysis with an ecological network model (constructed through ’ecological source-resistance surface-corridor’ principles): ’one core, two subzones, three belts, and four nodes.’ This approach aims to enhance ecosystem resilience and guide targeted interventions. By quantifying and visualizing the ecological quality as well as influencing factors of the ecologically fragile small-scale mining area and combining the ecological network of landscape ecology, the ecological restoration of the study area is proposed, which is conducive to the optimization of the ecological space of the small-scale mining area, the enhancement of the biological environment, and the promotion of ecological restoration from the theoretical point of view.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"174 ","pages":"Article 113426"},"PeriodicalIF":7.0000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25003565","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Coal mining can seriously damage the ecological quality of the environment, especially in the ecologically fragile areas of the Yellow River Basin. Thus, a detailed analysis of the spatiotemporal dynamics and drivers of ecological quality in fragile coal mining areas is vital for ensuring the ecological security of the Loess Plateau and restoring the Yellow River Basin’s ecosystems to support sustainable development. The Google Earth Engine (GEE) platform enables efficient extraction of long-term remotely sensed data, significantly enhancing monitoring capabilities for temporal analysis. Therefore, this study evaluates the ecological quality of the mining area for 20 years (2002–2022) based on the Remote Sensing of Ecology Index computed by GEE on a 30 m grid scale in an all-round way of spatial heterogeneity, spatial statistics and trend analysis and combines it with the ecological network constructed through landscape ecology to provide opinions on ecological restoration of the mining area. The results show that (1) the overall ecological quality of the study area shows a decreasing trend, and the change in ecological quality is closely related to urban development and coal mining. (2) The distribution of ecological quality is correlated, with high-value areas concentrated in the gently sloping vegetation areas in the south and north, and most urban and peri-urban areas are low-value areas. (3) Among the drivers of ecological quality, Net Primary Productivity mainly positively affects the central urban area and negatively affects the steep-slope areas in the north and south. Normalized Vegetation Index positively affects the central and southern areas and negatively affects the urban and higher elevation areas. Temperature positively affects the southeastern portion of the study area and negatively affects the rest of the area, especially the areas with higher slopes, which have significant negative impacts. Precipitation has negative impacts, mainly in urban areas. (4) In terms of the development trend of ecological quality, the proportion of land with ecological deterioration in the future is 53.72 %, which is mainly distributed in the urban, mining, and southeastern areas, and the proportion of areas with ecological improvement in the future is 44.42 %, which is distributed in the northern and southwestern areas with gentle slopes. The ecologically fragile areas of the Yellow River Basin are characterized by complex geological conditions and multifactorial influences, necessitating urgent restoration. This study proposes a hierarchical restoration framework by integrating spatiotemporal ecological quality analysis with an ecological network model (constructed through ’ecological source-resistance surface-corridor’ principles): ’one core, two subzones, three belts, and four nodes.’ This approach aims to enhance ecosystem resilience and guide targeted interventions. By quantifying and visualizing the ecological quality as well as influencing factors of the ecologically fragile small-scale mining area and combining the ecological network of landscape ecology, the ecological restoration of the study area is proposed, which is conducive to the optimization of the ecological space of the small-scale mining area, the enhancement of the biological environment, and the promotion of ecological restoration from the theoretical point of view.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.