Land degradation and ecological restoration in central India: A geospatial and machine learning analysis of coal mining impacts

IF 2.9 Q1 FORESTRY
Tarun Kumar Thakur , Digvesh Kumar Patel , Anita Thakur , Ranu Rathore , Kiran Kumar Eripogu , Joystu Dutta , Munesh Kumar
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引用次数: 0

Abstract

Coal mining, particularly open-cast mining, has become a critical industry to meet India's growing energy demands, contributing significantly to the country's economic growth. However, this industrial expansion has come at a considerable environmental cost, particularly in the Korba region, where coal mining has drastically altered land use and land cover (LULC) patterns. Extensive land degradation (LD), habitat destruction, soil erosion, and biodiversity loss have been observed, with forested and agricultural lands being converted into mining sites and urban settlements. Despite some reclamation efforts, these environmental impacts continue to outpace restoration initiatives. The current study addresses the lack of comprehensive understanding regarding the scale of LULC changes caused by coal mining in the Korba region from 1995 to 2024. It also highlights the insufficient effectiveness of existing reclamation strategies in restoring degraded landscapes. Using remote sensing data, including NDVI, NDBI, NDMI and geospatial analysis, the study quantifies the extent of LD and evaluates the environmental vulnerability through the Land Degradation Vulnerability Index (LDVI). The results reveal a sharp decline in forest cover, from 35.56 % in 1995 to 14.06 % in 2024, and a significant increase in coal mining areas and wastelands. The transformation of natural landscapes into industrial zones had severe implications for ecological services, including reduced water retention, increased soil erosion, and depleting diversity. Additionally, the assessment of current reclamation practices indicates that while some plantations have been established, they have not been sufficient to reverse the overall trend of environmental degradation. Study targeted eco-restoration strategies to ensuring long-term ecological recovery in coal-mined regions, focusing on reintroducing native and resilient plant species, improving soil stabilization techniques, and integrating socio-economic factors to benefit local communities.
印度中部土地退化和生态恢复:煤炭开采影响的地理空间和机器学习分析
煤炭开采,特别是露天开采,已成为满足印度日益增长的能源需求的关键行业,对该国的经济增长做出了重大贡献。然而,这种工业扩张是以相当大的环境代价为代价的,特别是在科尔巴地区,那里的煤炭开采大大改变了土地利用和土地覆盖模式。已经观察到广泛的土地退化、生境破坏、土壤侵蚀和生物多样性丧失,森林和农业用地被转变为矿区和城市住区。尽管进行了一些填海工作,但这些对环境的影响仍然超过了恢复计划。目前的研究解决了1995 - 2024年科尔巴地区煤炭开采引起的LULC变化规模缺乏全面认识的问题。它还突出表明,在恢复退化景观方面,现有的填海战略效力不足。利用遥感数据,包括NDVI、NDBI、NDMI和地理空间分析,量化土地退化程度,并通过土地退化脆弱性指数(LDVI)评价环境脆弱性。结果表明,森林覆盖率急剧下降,从1995年的35.56%下降到2024年的14.06%,而采煤区和荒地明显增加。将自然景观转变为工业区对生态服务产生了严重影响,包括保水能力下降、土壤侵蚀加剧和多样性枯竭。此外,对目前复垦做法的评价表明,虽然已经建立了一些种植园,但它们不足以扭转环境退化的总体趋势。研究的目标是确保矿区长期生态恢复的生态恢复策略,重点是重新引入本地和有弹性的植物物种,改进土壤稳定技术,并整合社会经济因素,使当地社区受益。
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来源期刊
Trees, Forests and People
Trees, Forests and People Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
4.30
自引率
7.40%
发文量
172
审稿时长
56 days
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