Abstract
AbstractCoal mining often brings negative impacts to land and eco‐environments. How to quantitatively evaluate this impact at a regional scale, and assess its related influences in mining and nonmining areas from an ecological viewpoint is important and a challenge. The Shendong Mining Area (SMA) at the junction region of Shaanxi Province and Inner Mongolia Autonomous region in northern China is a typical semi‐arid region. Remote sensing (RS) and Geographic Information System (GIS) were used to construct an ecosystem service measurement and evaluation index system in a typical high‐intensity coal mining area. Ecological Capital was estimated using remote sensing and statistical data from 2005, 2010 and 2015. The results show that (a) EC distribution has gradually increased from southeast to northwest (with an average annual growth rate of 2.32%); (b) water and soil conservation are the largest among ecosystem service functions, and the EC per unit area for the shrub ecosystem is the highest; and (c) the EC within the SMA grew steadily with an average annual growth rate of 3.09%. We can conclude that under high‐intensity mining, EC has not decreased, and the EC growth rate in some mining areas were even greater than nonmining areas, indicating that underground mining impacts were under tolerable threshold in this region. Through the remote sensing quantitative evaluation model, this article reveals the impact of regional ecological assets under different mining intensity, and provides an important basis for evaluating regional sustainable development and ecological environment management.
Published Version
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