A global extent site-level analysis of land cover and protected area overlap with mining activities as an indicator of biodiversity pressure

Kobayashi, Hideki; Watando, Hiroko; Kakimoto, Mitsuru

doi:10.1016/j.jclepro.2014.04.049

Cited by 42 publications

(24 citation statements)

References 18 publications

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“…The radius of the buffer should be as small as possible and cover all mining ground features, including open cuts, tailings dams, waste rock piles, water ponds, and processing infrastructure. Besides, the size of the buffer should consider that the geographical coordinates reported in the SNL database can differ between 1 km and 3 km from the mines identified in satellite images 10,14 .…”

Section: Methodsmentioning

confidence: 99%

A global-scale data set of mining areas

et al. 2020

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The area used for mineral extraction is a key indicator for understanding and mitigating the environmental impacts caused by the extractive sector. To date, worldwide data products on mineral extraction do not report the area used by mining activities. In this paper, we contribute to filling this gap by presenting a new data set of mining extents derived by visual interpretation of satellite images. We delineated mining areas within a 10 km buffer from the approximate geographical coordinates of more than six thousand active mining sites across the globe. The result is a global-scale data set consisting of 21,060 polygons that add up to 57,277 km2. The polygons cover all mining above-ground features that could be identified from the satellite images, including open cuts, tailings dams, waste rock dumps, water ponds, and processing infrastructure. The data set is available for download from 10.1594/PANGAEA.910894 and visualization at www.fineprint.global/viewer.

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Section: Methodsmentioning

confidence: 99%

A global-scale data set of mining areas

et al. 2020

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“…Nutrient cycle and litter decomposition are indicators to assess the restoration of ecosystem function [21]. Biodiversity measurement is used in evaluating mining area, based on the database on land cover, protected area, mining activities, and habitat value measurement [5,22], while forest health assessment uses vegetation as indicator to continuously monitor the change [6,23].…”

Section: Information Required For Estimating the Indicator Of Forest mentioning

confidence: 99%

Information Required for Estimating The Indicator of Forest Reclamation Success in Ex Coal-Mining Area

Muis

Jaya

Saleh

et al. 2016

IJEECS

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“…During the past decade, there has been an increasing interest in landscape pattern changes in coal mine areas [12][13][14][15]. These changes reflect a spatiotemporal evolution specific to the effects of coal mining, which might lead to the rapid degradation of its native ecosystem [16,17].…”

Section: Introductionmentioning

confidence: 99%

Recognition of Landscape Key Areas in a Coal Mine Area of a Semi-Arid Steppe in China: A Case Study of Yimin Open-Pit Coal Mine

Shou-gang

Huang

et al. 2020

Sustainability

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The ecological integrity and biodiversity of steppes were destroyed under the long-term and high-intensity development of open-pit coal mines in China, causing desertification, steppe degradation, landscape function defect, and so on. As a source of species maintenance and dispersal, an ecological source is a key area for preservation in order to restore the ecological security pattern of the larger landscape. The purpose of this study was to establish a landscape key area recognition model to identify the landscape key areas (LKA) surrounding an open pit coalmine located in semi-arid steppe. This study takes the Yimin open pit mining area as a case study. We assessed Landsat 5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI) remote sensing images taken during the peak season of vegetation growth from July to August in 1999, 2006, 2011, and 2017. From these images, we identified the main landscape types and vegetation coverage grades in order to identify the ecological land. Next, we applied the three indices of Importance of Patch Connectivity, Habitat Quality, and Ecosystem Service Value to calculate the comprehensive results that identify ecological land. Finally, the ecological land quality results of different years are superimposed and averaged, and then Very Important Patch (VIMP), Important Patch (IMP), and General Patch (GEP) areas were used for LKA extraction. Our results showed LKA to cover 177.35 km2, accounting for 20.01% of the total study area. The landscape types identified as LKA are primarily grassland (47.37%), wetland (40.27%), and shrubland (11.88%), indicating that landscape type correlates strongly with its value as a landscape key area. The proposed landscape key area recognition model could enrich the foundations for ecological planning and ecological security pattern construction in order to support ecological protection and restoration in semi-arid steppe areas affected by coal mining.

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A global extent site-level analysis of land cover and protected area overlap with mining activities as an indicator of biodiversity pressure

Cited by 42 publications

References 18 publications

A global-scale data set of mining areas

A global-scale data set of mining areas

Information Required for Estimating The Indicator of Forest Reclamation Success in Ex Coal-Mining Area

Recognition of Landscape Key Areas in a Coal Mine Area of a Semi-Arid Steppe in China: A Case Study of Yimin Open-Pit Coal Mine

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