Assessing the ecological regime and spatial spillover effects of a reclaimed mining subsided lake: A case study of the Pan'an Lake wetland in Xuzhou

Abstract

In the North China Plain, coal mining subsided lakes are surface water bodies that form after the conclusion of coal mining. In China, mining subsided lakes are often transformed into artificial wetland parks for ecological restoration. While many studies have focused on evaluating coal mining subsidence lake ecosystem service value and water pollution, little attention has been paid to changes in ecological regimes and ecological spillover effects before and after the reclamation of mining areas. This paper examines the Pan'an Lake artificial wetland in Jiawang District, Xuzhou, as a case study. Changes in the ecological regime of the mining subsidence area before and after land reclamation and corresponding spatial spillover effect on land prices are assessed based on remote sensing, GIS raster calculations and geostatistical methods. The results show that the ecosystem service value and ecological storage capacity changed significantly after the mining subsided lake was transformed into an artificial wetland and the wetland ecosystem has been developing well with significantly positive spillover effects on surrounding land prices. From 2008 to 2017, service functions of the artificial wetland ecosystem of Pan'an Lake increased by 81.95%, and the system's ecological storage capacity increased from RMB 6,754 yuan/hm 2 in 2008 to RMB 12,289 yuan/hm 2 in 2017. The average impact of the Pan'an Lake artificial wetland on the spillover effects of surrounding residential land prices was measured at RMB 195.18 yuan/ m 2 , and the total spillover value of planned residential land in the study area was measured at RMB 805,422,100 yuan. The present study can serve as a useful guide for evaluating the economic feasibility of land reclamation planning and ecological restoration in mining subsidence areas.

Seasonal succession of microbial community co-occurrence patterns and community assembly mechanism in coal mining subsidence lakes

“…Based on the different utilization modes of subsidence lakes, different types of water bodies, such as aquaculture waters, wetlands, and plain reservoirs, have been formed, which perform crucial work in sustaining ecological balance (Yi et al, 2014). Research on subsidence lakes in recent years has mainly concentrated on the distribution characteristics of heavy metals (An et al, 2020;Chen et al, 2022), nutrients (Chen et al, 2020;Zha et al, 2021), polycyclic aromatic hydrocarbons (Ouyang et al, 2018), and the evaluation of lake ecosystem service value (Demirbugan, 2019;Xu et al, 2020). At present, the knowledge gap about the temporal and spatial succession characteristics of microbial communities in subsidence lakes still exists.…”

Research on Temporal and Spatial Resolution and the Driving Forces of Ecological Environment Quality in Coal Mining Areas Considering Topographic Correction

“…It is therefore necessary to integrate a variety of ecological environmental indicators to monitor and evaluate the ecological environmental quality of coal mining areas. Xu et al [23] applied land use, ecosystem service value, and the ecological storage index to assess the changes in the ecological conditions of coal mining subsidence areas before and after ecological restoration. Xiao et al [24] selected the 12 indicators of land use, water distribution, terrain relief, proportion of construction, vegetation coverage, desertification rate, rainfall, population density, mining depth, mining thickness, ratio of buried depth versus mining thickness, and mining strength.…”

Identifying the characteristics of and factors driving spatiotemporal water quality variations in the Yellow River Basin, China, from 2008 to 2020

“…To investigate the primary factors driving spatial heterogeneity in CODMn and NH3-N, a Pearson correlation test was performed for the variables belonging to socioeconomic development, pollution Shanxi, Shaanxi, and Ningxia was expected to reach 9.96 km 3 annually in 2015 (Xiang et al, 2017). The water quality in inland waters might be significantly affected by wastewater discharged during coal mining (Moschini-Carlos et al, 2011;Xu et al, 2020). Therefore, we investigated the relationship between coal reserves and spatial variations in CODMn and NH3-N in the Yellow River Basin.…”