Evaluation of decadal land degradation dynamics in old coal mine areas of Central India

Bibliographic Data

ID21647762
AuthorsTarun Kumar Thakur (0000-0001-9389-1292, Department of Environmental Science Indira Gandhi National Tribal University Amarkantak Madhya Pradesh India), Joystu Dutta (0000-0002-9061-6372, Commission of Ecosystem Management (CEM), IUCN, South Asia Chapter New Delhi India, corresponding author), Arvind Bijalwan (0000-0001-8719-3842, College of Forestry VCSG Uttarakhand University of Horticulture and Forestry Tehri Garhwal Uttarakhand India), Singham Laxman Swamy (Department of Forestry Indira Gandhi Agricultural University Raipur Chhattisgarh India)
Year2022
Volume33
Issue16
Pages3209-3230
Publication date2022-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.4383
OpenAlexW4281716637
LanguageEN
Citations received4
References cited65

The present study attempts to understand land use land cover change dynamics in an area subjected to opencast and underground coal mining for the last few decades in Kotma Coalmines of Anuppur District in Madhya Pradesh, India through geospatial techniques. Land use and land cover (LULC) change detection analysis was performed digitally classifying LANDSAT‐5 (2001) as well as LANDSAT‐8 (2020) satellite data using a maximum likelihood algorithm. Results revealed that area under dense native vegetation decreased drastically (by 13.74 km 2 ) with the gradual and consistent expansion in the activities of coal mines which showed the highest increase in area over time (15.84 km 2 ). Bivariate regression analysis showed the positive empirical relationships between vegetation indices and soil physico‐chemical parameters. Studies suggested that soil and vegetation is degraded over the large mining areas consistently over a long time period. Despite the continuous reforestation activities on mined areas, the decline area under dense vegetation and sparse vegetation over the twenty‐year time‐scale indicates that the reclamation activities are still in its infancy. A land degradation vulnerability Index (LDVI) map was generated to understand the extent of decadal land degradation trends and it shows that 8.60% of the area is highly vulnerable to degradation. The land degradation index (LDI) inputs will help the planners to develop alternate strategies to tackle vulnerability zones for safe mining. Monthly estimation of various meteorological parameters was also recorded to generate heat plots for the period 2001–2020. The study concludes that monitoring and assessment of fragile ecosystems are indispensable for holistic environmental management

Agroforestry · Coal · Coal mining · Environmental degradation · Geography · Geospatial analysis · Land cover · Land degradation · Land reclamation · Land use · Physical geography · Reforestation · Remote sensing · Conservation, Biodiversity, and Resource Management · Environmental Science · Land Use and Ecosystem Services · Rangeland Management and Livestock Ecology · Ecology · Geology