Forest fragmentation and forest cover dynamics: Mining induced changes in the West Singhbhum District of Jharkhand

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Md Saharik Joy, Priyanka Jha, Pawan Kumar Yadav, Taruna Bansal, Pankaj Rawat, Shehnaz Begam
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引用次数: 0

Abstract

Forests play a crucial role in the global climate system by acting as important carbon storage sinks and controlling the flow of carbon between land and the atmosphere. They provide a wide range of ecosystem services, including the supply of resources and biodiversity conservation. Deforestation is a significant issue leading to the release of carbon dioxide and greenhouse gases. The destruction and fragmentation of existing habitats pose significant threats to biodiversity. This study examined land use/land cover (LULC) alterations in the West Singhbhum district between 1987 and 2021, specifically emphasizing the influence of mining operations on the local forest ecosystem. This study used Landsat satellite imagery to examine data from 1987 to 2021, emphasizing five primary classifications: water body, mining area, built-up areas, open/cropland, and forest/vegetation. The maps were reclassified into two categories, namely, “No-Forest" and “Forest. Forest fragmentation maps were created using Landscape Fragmentation Tool (LFT) v2.0. A regression analysis was conducted to ascertain the correlation between mining growth and the reduction in forest cover. The analysis revealed increased mining areas, developed buildings, and cultivated land accompanied by a decline in forested areas and vegetation. There were substantial changes in land use, with mining areas expanding by 31.14 km2 and open/cropland increasing by 30.39 km2. The conversion of forested areas into agricultural zones and mining regions resulted in a 1.08% reduction in forest coverage.

森林破碎化和森林植被动态:贾坎德邦西辛格布姆地区采矿引发的变化
森林是重要的碳储存汇,控制着碳在陆地和大气之间的流动,在全球气候系统中发挥着至关重要的作用。森林提供广泛的生态系统服务,包括资源供应和生物多样性保护。森林砍伐是导致二氧化碳和温室气体排放的一个重要问题。现有栖息地的破坏和支离破碎对生物多样性构成了重大威胁。本研究考察了 1987 年至 2021 年期间西辛布姆地区土地利用/土地覆盖(LULC)的变化情况,特别强调了采矿作业对当地森林生态系统的影响。本研究利用 Landsat 卫星图像对 1987 年至 2021 年的数据进行了研究,重点关注五种主要分类:水体、采矿区、建筑密集区、空地/耕地和森林/植被。这些地图被重新划分为两个类别,即 "无森林 "和 "森林"。森林破碎化地图是使用景观破碎化工具(LFT)v2.0 制作的。为确定采矿增长与森林覆盖减少之间的相关性,进行了回归分析。分析结果显示,采矿区、已开发建筑和耕地的增加伴随着森林面积和植被的减少。土地利用发生了重大变化,采矿区扩大了 31.14 平方公里,开垦/耕地增加了 30.39 平方公里。林区转变为农业区和采矿区导致森林覆盖率减少了 1.08%。
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来源期刊
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
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