scholarly journals Soil Fungal Community in Grazed Inner Mongolian Grassland Adjacent to Coal-Mining Activity

2021 ◽  
Vol 12 ◽  
Author(s):  
Linlin Xie ◽  
Yinli Bi ◽  
Xianglei Li ◽  
Kun Wang ◽  
Peter Christie
Keyword(s):  
Coal Mining ◽  
Soil Quality ◽  
Fungal Community ◽  
Pearson Correlation ◽  
Mining Area ◽  
Mantel Test ◽  
Mining Areas ◽  
Operational Taxonomic Units ◽  
Soil Fungal Community ◽  
Edaphic Variables

Coal mining results in reduced soil quality and makes environments less stable. Soil fungi are suitable indicators of soil quality for monitoring purposes. Here, the objective was therefore to investigate the effects of grazing and mining on the composition of the soil fungal community at the periphery of an opencast coal-mine dump in the Shengli mining area, Xilingol League, Inner Mongolia. A total of 2,110 fungal operational taxonomic units were identified and subdivided into 81 orders and nine categories, based on trophic modes. The sensitive factor to mining was soil pH, and that to grazing were soil nitrate-nitrogen and alkaline phosphatase activity. According to the Pearson correlation and Mantel test, we propose interactions between grazing and coal-mining exist a co-effect and could regulate edaphic variables to alter the behavior of soil fungal community. Moreover, compared with coal-mining, grazing has a greater impact on it. The results provide a basis to further clarify soil fungal ecological functions, and may also contribute to the practice of soil remediation and environmental management in coal-mining areas.

Ecological Risk Assessment of Yulin Coal Mining Area: Based on the PETAR Method

2013 ◽  
Vol 726-731 ◽  
pp. 1115-1120 ◽  
Author(s):  
Li Zhang
Keyword(s):  
Risk Assessment ◽  
Coal Mining ◽  
Qualitative Evaluation ◽  
Mining Area ◽  
Ecological Effects ◽  
Ecological Effect ◽  
Ecological Risks ◽  
Mining Areas ◽  
Coal Mining Area ◽  
Risk Sources

In order to unravel the correlation and causality between multi-stressor sources, multi-risk receptors and multi-type ecological effects of the Yulin Coal Mining Area. Through qualitative evaluation, this study preliminarily described the main stressor sources, risk receptors and the largest ecological effect over the Yulin coal mining area and progressive and conductive relation among the stressor sources, risk receptors and ecological effects using the Procedure for Ecological Tiered Assessment of Risk method (PETAR). The PETAR method seems to be operable and effective in evaluating coal mining areas ecological risks with multiple risk sources, risk receptors and multi-type ecological effects.

scholarly journals Biodiversity of Root Endophytic Fungi from Oxyria sinensis Grown in Metal-Polluted and Unpolluted Soils in Yunnan Province, Southwestern China

Plants ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 2731
Author(s):  
Meiyan Zhu ◽  
Yanhua Ding ◽  
Xuejiao Li ◽  
Yuqing Xiao ◽  
Zhiwei Zhao ◽  
...  
Keyword(s):  
Endophytic Fungi ◽  
Fungal Community ◽  
Mycorrhizal Fungi ◽  
Toxic Metal ◽  
Arbuscular Mycorrhizal ◽  
Mining Area ◽  
Southwestern China ◽  
Operational Taxonomic Units ◽  
Root Endophytic Fungi ◽  
Soil Zn

Oxyria sinensis adopts a tolerant strategy as a metal excluder to survive toxic metal concentrations. Biodiversity and the endophytic fungal community colonizing the O. sinensis roots were assessed from a mining area (MA) and a neighboring non-mining area (nMA) in southwestern China. All O. sinensis roots formed fully developed dark septate endophytes (DSEs) and arbuscular mycorrhizal fungi (AMF). Total DSE colonization was higher for the MA versus nMA, in contrast to the total AMF colonization in the two sites. The DSE colonization was higher than AMF colonization regardless of the site. Pure-culture data showed that the fungi closely related to Exophiala, Cadophora and Phialophora dominantly colonized the O. sinensis roots. A total of 450 operational taxonomic units (OTUs) were identified showing the presence of a distinct fungal community in MA and nMA, which was shaped by soil physiochemical properties, including soil Zn concentrations and organic matter. We found that O. sinensis accumulates and adapts efficiently to local endophytic fungi to achieve the expansion of its community, including the spontaneously reclaimed DSE. This property may be targeted to achieve its colonization with a pioneer plant for phytoremediation in the restoration of a vegetation cover in a metal-contaminated area.

scholarly journals Mine Geological Environment Monitoring and Risk Assessment in Arid and Semiarid Areas

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jiaqi Jin ◽  
Chicheng Yan ◽  
Yixuan Tang ◽  
Yilong Yin
Keyword(s):  
Coal Mining ◽  
Ecological Restoration ◽  
Surface Deformation ◽  
Yellow River ◽  
Mining Area ◽  
Deformation Monitoring ◽  
Surface Subsidence ◽  
Mining Areas ◽  
Coal Mining Area ◽  
Arid And Semiarid

Along with the accelerated shift of coal mining to the ecologically fragile west, the contradiction between coal resource development and ecological protection in the western arid and semiarid coal mining areas is rapidly intensifying. Based on the above background, this thesis takes the coal mining area in the arid and semiarid regions as an example; applies the theories of ecology, coal mining subsidence, geodesy, and ecological restoration; uses remote sensing in synthetic aperture radar (SAR), geographic information system (GIS), and mathematical modelling to reveal the ecological evolution law of the mining area; measures the ecological damage of the mining area; and then proposes a reasonable ecological restoration strategy. The surface deformation monitoring study in the study area shows that on the whole, some areas in the study area have different degrees of surface subsidence disasters, and the maximum surface subsidence value exceeds 800 mm. From the distribution of surface subsidence in the study area, surface subsidence disasters mainly occur in the eastern and central mountainous areas rich in coal resources, as well as in the mining areas west of the Yellow River, and the subsidence basins are distributed in a series of irregular concentric ovals. In terms of the scale of surface subsidence in the study area, a total of 230.03 km2 of land in the study area showed surface subsidence hazards during the monitoring period, accounting for 13.78% of the total area of the study area, of which the area of severe subsidence was 44.98 km2 (2.69%). The area of more serious subsidence area is 101.33 km2 (6.07%), and the area affected by subsidence is 83.72 km2 (5.01%).

scholarly journals Develop a Soil Quality Index to Study the Results of Black Locust on Soil Quality below Different Allocation Patterns

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 785
Author(s):  
Zeyu Shi ◽  
Zhongke Bai ◽  
Donggang Guo ◽  
Meijing Chen
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Robinia Pseudoacacia ◽  
Mixed Forest ◽  
Mining Area ◽  
Ailanthus Altissima ◽  
The Loess Plateau ◽  
Ulmus Pumila ◽  
Soil Quality Index ◽  
Mining Areas

Mining areas are currently a typical ecosystem that is severely destroyed within the world. Over the years, mining activities have caused serious soil damage. Therefore, the soil restoration of abandoned mines has become a vital sustainable development strategy. The ecological environment within the hilly area of the Loess Plateau is extremely fragile, with serious soil erosion; Robinia pseudoacacia is the most popular tree species for land reclamation in mining areas within the Loess Plateau. To review the different various effects of Robinia pseudoacacia on soil quality below different configuration modes, this paper has chosen two sample plots within the southern dump of the Pingshuo mining area for comparison. The first plot is a Robinia pseudoacacia-Ulmus pumila-Ailanthus altissima broadleaf mixed forest, and the second plot is a locust tree broadleaf pure forest. The vegetation indicators and soil physical and chemical properties of the four stages in 1993, 2010, 2015, and 2020 were investigated. Principal component analysis is employed to develop the Soil Quality Index to perceive the changes within the Soil Quality Index over time. It is calculated that the Soil Quality Index of Plot I rose from 0.501 in 1993 to 0.538 in 2020, and Plot II rose from 0.501 to 0.529. The higher the SQI, the higher the reclamation of the mining area. It is found that Robinia pseudoacacia within the Robinia pseudoacacia-Ulmus pumila-Ailanthus altissima broadleaf mixed forest has higher soil quality improvement than the pure genus Robinia pseudoacacia broadleaf forest. This article can demonstrate the changes in the quality of reclaimed soil in the mining area, and can also provide a reference for the selection of reclaimed vegetation in other mining areas.

scholarly journals THE GROWTH OF LOCAL TREE SPECIES ON POST-COAL MINING AREAS IN EAST KALIMANTAN

2020 ◽  
Vol 7 (2) ◽  
pp. 83-97
Author(s):  
Burhanuddin Adman ◽  
Ardiyanto Wahyu Nugroho ◽  
Ishak Yassir
Keyword(s):  
Coal Mining ◽  
Tree Species ◽  
Extreme Temperature ◽  
Mining Area ◽  
High Survival ◽  
Mining Areas ◽  
Coal Mining Area ◽  
East Kalimantan ◽  
Survival And Growth ◽  
Made In

Post-coal mining areas need rehabilitation to restore its functionality. Not all plants could grow well on bare ex-coal mining area because of the excessive light intensity and extreme temperature fluctuations. This study is aimed to determine suitable local tree species for rehabilitating mined areas. Planting was carried out in November 2012, and observations were made in November 2015. The study site was in the district of Samboja, Kutai Kartanegara, East Kalimantan Province, Indonesia. Research results revealed that seven tree species survived well in the ex-coal mining land, i.e., Vitex pinnata L., Syzygium scortechinii (Merr.) Merr. & Perry, Syzygium polyanthum (Wight) Walp., Shorea balangeran (Korth.) Burck, Macaranga motleyana (Mull.Arg.) Mull.Arg., Cleistanthus myrianthus (Hassk.) Kurz and Syzygium lineatum (DC.) Merr. & L.M. Perry. From the seven species V. pinnata, Sy. scortechinii and Sy. polyanthum performed best in both survival and growth rates. This study suggests those three species are excellent local tree species for ex-coal mining rehabilitation, not only because of their high survival rate (≥80%) and fast-growing but also they produce favourable fruits and flowers for wildlife.

scholarly journals Study on soil pollution caused by heavy metals in coal mining areas and vegetation restoration in surrounding areas

2021 ◽  
Author(s):  
Xun Wang
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Coal Mining ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Soil Layer ◽  
Mining Area ◽  
Vegetation Restoration ◽  
Mining Areas ◽  
Ligustrum Lucidum

Abstract In this study, taking a coal mining area as an example, three vegetation restoration modes were designed: Populus L., Ligustrum lucidum Ait., and Amygdalus persica L., and soil and plant samples were collected to determine and evaluate the heavy metals. It was found that all the three modes were effective in eliminating heavy metal pollution in the soil, especially Populus L. and Ligustrum lucidum Ait.; in the soil layer at a depth of 0–20 cm, the content of Cd was the lowest (2.68 mg/kg) in Populus L., and the content of Cr and Pb was the lowest (58.64 mg/kg and 95.36 mg/kg) in Ligustrum lucidum Ait., which was significantly lower than that in the bare land. The evaluation results demonstrated that the pollution under Populus L. and Ligustrum lucidum Ait. modes was moderate. In the aspect of the heavy metal content in plants, the content of Cd was the lowest, and the content of Cr and Pb was high. In the same plant, the content of heavy metals in the leaf was the lowest, followed by the stem and root. The experimental results show that the vegetation restoration mode can relieve the heavy metal pollution, which makes some contributions to solve the ecological restoration problem in coal mining areas.

Does a decrease in microbial biomass alter mycorrhizal attributes and soil quality indicators in coal mining areas under revegetation process?

2021 ◽  
pp. 149843
Author(s):  
Caroline Krug Vieira ◽  
Luiz Gustavo dos Anjos Borges ◽  
Juliana Gress Bortolini ◽  
Cláudio Roberto Fonsêca Sousa Soares ◽  
Adriana Giongo ◽  
...  
Keyword(s):  
Microbial Biomass ◽  
Coal Mining ◽  
Soil Quality ◽  
Quality Indicators ◽  
Soil Quality Indicators ◽  
Mining Areas

scholarly journals Soil mesoarthropods in areas of coal mining under environmental recovery

2017 ◽  
Vol 52 (12) ◽  
pp. 1215-1222 ◽  
Author(s):  
Dayanna do Nascimento Machado ◽  
Ervandil Corrêa Costa ◽  
Leandra Pedron
Keyword(s):  
Coal Mining ◽  
Mining Area ◽  
Native Vegetation ◽  
Soil Mesofauna ◽  
Mining Areas ◽  
Environmental Recovery ◽  
Eucalyptus Dunnii ◽  
One Year ◽  
Taxonomic Groups ◽  
The Impact

Abstract: The objective of this work was to evaluate the soil mesofauna composition in non-mining and in mining areas under environmental recovery with native vegetation and forest planting, in a coalmine in Southern Brazil. Five treatments were evaluated: native vegetation in non-mining area; plantation of Acacia mearnsii in non-mining area; plantation of A. mearnsii in mining area; plantation of Eucalyptus dunnii in non-mining area; and plantation of E. dunnii in mining area. Four soil samples per treatment were collected monthly, during one year. The organisms were extracted using a Berlese funnel with 50-W incandescent light. A total of 23,911 organisms were collected from the soil mesofauna, which were identified and distributed into 13 taxonomic groups. The abundance of specimens was similar between treatments. The greatest diversity of taxonomic groups was found under A. mearnsii plantation, in the mining area, and under E. dunnii plantations in non-mining and mining areas, all with 13 groups. Eucalyptus dunnii and A. mearnsii help to mitigate the impact of coal mining on the diversity of the soil mesofauna taxonomic groups, since the composition of mesoarthropods is similar to that of areas that have not been directly affected by mining.

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