黄河流域脆弱矿区生态质量与恢复研究——以谢沟煤矿为例

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Xin Sui , Yiming Sun , Xuan Wang , Jin Yuan
{"title":"黄河流域脆弱矿区生态质量与恢复研究——以谢沟煤矿为例","authors":"Xin Sui ,&nbsp;Yiming Sun ,&nbsp;Xuan Wang ,&nbsp;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":"{\"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 ,&nbsp;Yiming Sun ,&nbsp;Xuan Wang ,&nbsp;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}","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

摘要

煤炭开采会严重破坏生态环境质量,特别是在黄河流域生态脆弱地区。因此,深入分析脆弱矿区生态质量时空动态及其驱动因素,对于保障黄土高原生态安全、恢复黄河流域生态系统、支持可持续发展具有重要意义。谷歌地球引擎(GEE)平台能够有效提取长期遥感数据,显著增强时间分析的监测能力。因此,本研究基于30 m格网尺度上GEE计算的遥感生态指数,对矿区2002-2022年的生态质量进行全方位的空间异质性、空间统计和趋势分析,并结合景观生态学构建的生态网络,为矿区生态修复提供意见。结果表明:(1)研究区整体生态质量呈下降趋势,生态质量变化与城市发展和煤炭开采密切相关。②生态质量分布具有相关性,高值区集中在南北缓坡植被区,大部分城市和城郊为低值区。(3)在生态质量驱动因子中,净初级生产力主要对中心城区产生正向影响,对南北陡坡区产生负向影响。归一化植被指数对中南部地区有正向影响,对城市和高海拔地区有负向影响。温度对研究区的东南部有正向影响,对研究区的其余部分有负向影响,尤其是坡度较高的地区,负向影响显著。降水有负面影响,主要在城市地区。(4)从生态质量的发展趋势来看,未来生态恶化的土地占比为53.72%,主要分布在城市、矿区和东南部地区;未来生态改善的土地占比为44.42%,主要分布在北部和西南部缓坡地区。黄河流域生态脆弱区地质条件复杂,受多因素影响,急需修复。本研究通过将时空生态质量分析与生态网络模型(通过“生态源-阻力-地表-廊道”原则构建)相结合,提出了“一个核心、两个分区、三个带、四个节点”的分层恢复框架。这种方法旨在增强生态系统的恢复力,并指导有针对性的干预措施。通过对生态脆弱的小型矿区的生态质量及其影响因素进行量化和可视化,结合景观生态学的生态网络,提出研究区生态修复方案,从理论上有利于优化小型矿区的生态空间,增强生物环境,促进生态修复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Research on ecological quality and restoration of fragile mining areas in the Yellow River Basin—The case of Xiegou coal mine

Research on ecological quality and restoration of fragile mining areas in the Yellow River Basin—The case of Xiegou coal mine
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信