Mining-induced forest cover change of Paschim Bardhaman, a mining-based district of India

IF 3.8 Q2 ENVIRONMENTAL SCIENCES Remote Sensing Applications-Society and Environment Pub Date : 2024-09-13 DOI:10.1016/j.rsase.2024.101348

Ankita Biswas, Sasanka Ghosh

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Abstract

Mining activities are a recognized factor for Forest Cover Loss (FCL) worldwide. Huge forest cover areas are lost due to mining activities worldwide and in India. This study is conducted to identify the villages that experienced more FCL as a result of mining activities and also focuses on identifying the role of individual coal mines on FCL. Results indicate that the mining area increased to 70.79 km2 in 2020 from 25.56 km2 in 1990, and the vegetation area reduced to 149.22 km² from 271 km² at the same time. Mostly Jamuria, Barabani, Raniganj, and Pandabeswar blocks have lost large amounts of forest cover due to mining activities. Results also indicate that mining areas have increased nearly threefold and influenced the rate of FCL in the district. Village-level analysis of mining-induced FCL identified that more than ten villages had lost more than 10% of the total forest cover areas due to coal mine expansion resulting in environmental degradation. Analysis of spatial matrices indicates a fragmentation nature of vegetation cover areas of the selected coal mines and indicates that available vegetation areas are concentrated in some pocket areas. Local Indicators of Spatial Autocorrelation (LISA) based spatial patterns of mining-induced FCL show high cluster location in and around major coal mines of the area proving the role of open-cast coal mines on FCL and forest fragmentation. The analysis results may help the planners maintain the healthy environment of the affected villages by formulating alternative ways of forest cover increase.

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印度以采矿为主的 Paschim Bardhaman 地区因采矿引起的森林植被变化

采矿活动是全球公认的森林植被损失（FCL）因素。全球和印度都有大量森林覆盖面积因采矿活动而丧失。本研究旨在确定因采矿活动而导致森林覆盖率增加的村庄，并重点确定各个煤矿对森林覆盖率的影响。结果表明，采矿面积从 1990 年的 25.56 平方公里增加到 2020 年的 70.79 平方公里，植被面积从 271 平方公里减少到 149.22 平方公里。由于采矿活动，Jamuria、Barabani、Raniganj 和 Pandabeswar 区块的森林覆盖面积大幅减少。结果还表明，采矿区增加了近三倍，影响了该地区的森林覆盖率。对采矿导致的森林覆盖率进行的村级分析表明，由于煤矿扩张导致环境退化，十多个村庄的森林覆盖面积损失超过总面积的 10%。空间矩阵分析表明，选定煤矿的植被覆盖区具有破碎性，并表明可用植被区集中在一些袖珍区域。基于地方空间自相关指标（LISA）的采矿引起的森林覆盖率空间模式显示，该地区主要煤矿及其周边地区的森林覆盖率较高，证明了露天煤矿对森林覆盖率和森林破碎化的作用。分析结果可帮助规划者通过制定增加森林覆盖率的替代方法来维护受影响村庄的健康环境。

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来源期刊

Remote Sensing Applications-Society and Environment Multiple-

CiteScore

8.00

自引率

8.50%

发文量

204

审稿时长

65 days

期刊介绍： The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems