Analysis of Plant and Soil Restoration Process and Degree of Refuse Dumps in Open-Pit Coal Mining Areas

Optimising node-based strategies for enhanced carbon sequestration in mining cities

Continuous exploitation of mineral resources has had a significant impact on natural ecosystems. This makes it imperative to address problematic nodes in order to restore and improve ecosystem functions within mining areas. However, only a few studies have systematically discussed how to achieve regional carbon sequestration benefits at the regional level, using optimising node-based strategies and taking the impacts of external risk into account. This study develops 'structure-risk' node optimisation strategies that could be employed to improve regional carbon sequestration using ecological network theory. Using Xinzhou City, in Shanxi Province, as a case study, the approach ranks carbon nodes by linking node topology features to the landscape risk index. Our results show that from 2000 to 2020, the network exhibited stronger cohesion (clustering: 0.34 to 0.37; degree: 4.80 to 5.27) but reduced efficiency (closeness: 28.70 to 24.87; path length: 0.49 to 0.52) and key node importance (eigenvector: 2.98 to 2.72). Ecological nodes vary in correlation with 'structure' and 'risk', and thus require targeted optimisation. Node topology positively correlates with carbon sequestration (p < 0.001) and negatively with risk (p < 0.001), with key-linked nodes being crucial and high-risk areas offering limited storage potential. Subsequently, we delineate the optimisation sequence of these nodes to facilitate the restoration of urban areas impacted by mining. This study contributes to enhancing understanding of the intricate interplay between ecological networks and carbon sequestration dynamics under risk interference, thus providing valuable insights for sustainable urban transformation in mining regions.

Coupling relationships between vegetation and soil in different vegetation types in the Ulan Buh Desert and the Kubuqi Desert

Introduction

Desertification is a globally recognized ecological issue that poses severe threats to the environment, economic and social systems. Revegetation is the primary means to combat desertification, yet the effectiveness of revegetation practices requires reasonable quantification.

Methods

To identify appropriate planting patterns for revegetation in different deserts and provide a basis for vegetation reconstruction in deserts, we conducted a comprehensive survey in the Ulan Buh Desert and the Kubuqi Desert of the Northern China. Data on vegetation and soil were collected from 54 representative sites, covering both natural and revegetation communities.

Results

The findings revealed that the diversity of herbaceous and woody species, and soil nutrient content increased after revegetation, in comparison to adjacent moving sand dunes. Additionally, the species diversity and soil conditions in revegetation areas, gradually approached those of natural vegetation communities, indicating a succession towards a state resembling natural conditions. Variations in the coupling of vegetation-soil systems were observed among different community types in both deserts. Notably, the communities dominated by Caragana korshinskii and Artemisia ordosica exhibited the strongest coupling in the vegetation-soil system, driven primarily by soil water and nutrients, as well as vegetation growth.

Discussion

Evaluation of vegetation-soil system coupling effect was used to evaluate the effectiveness of vegetation restoration and species selection in the wo deserts, which can serve as a reference for vegetation reconstruction and ecological restoration in desert areas.

Bryophytes adapt to open-pit coal mine environments by changing their functional traits in response to heavy metal-induced soil environmental changes

Plants have unique adaptability to heavy metal pollution. However, the adaptation strategies of bryophytes are still unclear. In order to better understand the response of bryophytes to different heavy metal and the adaptation mechanisms of different species to heavy metal pollution, we studied soil physicochemical properties, distribution of heavy metal elements, ecological risk assessment and the community structure, functional characteristics of bryophytes in large open-pit coal mines in Inner Mongolia. The results indicate that: (1) The soil in three open-pit mining areas currently does not pose an ecological risk from the heavy metal pollution, but high concentrations of Zn and Hg are found in most parts of the study area; (2) The presence of a single heavy metal drives the distribution of specific taxa of bryophytes. Apart from Hg, Pb, and Zn, all the other heavy metals significantly impact the community structure of bryophytes; (3) With the exception of Pb and Hg, all the other heavy metals have an influence on the functional traits of bryophytes; 4) Different taxa of bryophytes will adapt to changes in soil environments caused by heavy metal pollution by altering their functional traits (blades, leaf cells, or plant size).

A comparative evaluation of rehabilitation approaches for ecological recovery in arid limestone mine sites

Limestone mining in arid regions, particularly within fragile environments, leads to severe environmental pollution and ecological degradation. Developing a scientifically sound and effective ecological rehabilitation strategy is therefore critical. This study constructed a three-dimensional ecological rehabilitation model integrating soil amelioration and vegetation reconstruction. Seven resilient shrub species (Caragana korshinskii, Corethrodendron scoparium, Atriplex canescens, Calligonum mongolicum, Caryopteris mongholica, Nitraria tangutorum, and Tamarix laxa) and four soil matrix reconstruction treatments-sand:soil:organic fertilizer (8:1:1), sand:soil:compound fertilizer (8:1:1), sand:soil (8:2), and soil:organic fertilizer (9:1)-were evaluated for their effects on soil, plant, and microbial indicators. A comprehensive evaluation system was established to identify the optimal rehabilitation approach. The results indicate that organic fertilizer treatments reduced soil EC by 16.39% and increased microbial biomass carbon (MBC), MBC/nitrogen (MBC/MBN), and MBC/phosphorus (MBC/MBP) by over 41.50%, while improving the height and canopy of C. korshinskii by 71.05% and 180.00%, respectively. Plant species significantly influenced soil properties, with T. laxa achieving the highest soil organic matter and total nitrogen content. Soil matrix amendments and plant species both significantly affected microbial β-diversity. Ultimately, the combination of T. laxa and the sand:soil:organic fertilizer treatment was identified as the optimal rehabilitation strategy. These findings provide critical insights for rehabilitating degraded limestone mine areas in arid regions.

Soil microbial community composition and co-occurrence network responses to mild and severe disturbances in volcanic areas

Soil physicochemical properties and vegetation types are the main factors affecting soil microorganisms, but there are few studies on the effects of the disturbance following volcanic eruption. To make up for this lack of knowledge, we used Illumina Miseq high-throughput sequencing to study the characteristics of soil microorganisms on both shores of a volcanically disturbed lake. Soil microorganisms in the two sites were subjected to different degrees of volcanic disturbance and showed significant heterogeneity. Mild volcanic disturbance area had higher enrichment of prokaryotic community. Co-occurrence network analysis showed that a total of 12 keystone taxa (9 prokaryotes and 3 fungi) were identified, suggesting that soil prokaryote may play a more significant role than fungi in overall community structure and function. Compared with severe volcanic disturbance area, the soil microbial community in mild volcanic disturbance area had the higher modular network (0.327 vs 0.291). The competition was stronger (positive/negative link ratio, P/N: 1.422 vs 1.159). Random forest analysis showed that soil superoxide dismutase was the most significant variable associated with soil microbial community. Structural equation model (SEM) results showed that keystone had a directly positive effect on prokaryotic (λ = 0.867, P < 0.001) and fungal (λ = 0.990, P < 0.001) multifunctionality while had also a directly positive effect on fungal diversity (λ = 0.553, P < 0.001), suggesting that keystone taxa played a key role in maintaining ecosystem stability. These results were important for understanding the effects of different levels of volcanic disturbance on soil ecosystems.

Different effects of taproot and fibrous root crops on pore structure and microbial network in reclaimed soil

Understanding the effects of plant roots on the pore structure and microbial community of soil is crucial to recovery and improve soil productivity in mining areas. This study aims to assess the impact of taproot (TR) and fibrous root (FR) crops on the physicochemical properties, pore structure, and microbial communities and networks in reclaimed mine soil. Results showed that reclamation positively influenced pore structure and microbial diversity. Tillage with TR and FR crops significantly increased porosity, total pore volume, and area of mining soil (p < 0.05). Compared with TR, FR produced more macropores, mesopores, and micropores. In addition, the module group, average degree, density, and connectivity of microbial network in FR cultivated soil were higher than those in TR cultivated soil. The microbial network map showed that FR had more keystone taxa than TR, and mainly consisted of Acidobacteria and Proteobacteria. In the FR microbial network, Rhizobiales, Betaproteobacteria, and Acidobacteria_Gp11 play critical roles as module hubs and Noviherbaspirillum and Zavarzinella as connectors. Furthermore, most of the key microbes were significantly correlated (p < 0.05) with the total pore area and probably tended to live in pores >75 μm and 0.1-5 μm in size. Therefore, FR crops were more effective than TR crops in improving pore structure and enhancing the development of microbial network in reclaimed soil.

Patterns and drivers of microbiome in different rock surface soil under the volcanic extreme environment

Soil microbial communities were investigated under the volcanic extreme environment. Soil bacterial networks exhibited higher stability than fungal networks. Holocene granite had a more complex microbial network than basalt. Soil pH and total protein were key drivers of microbial network stability.

Evaluation of the effects of long-term natural and artificial restoration on vegetation characteristics, soil properties and their coupling coordinations

Vegetation restoration is the most important factor to restrain soil and water loss in the Chinese Loess Plateau, and its effect is long-term. Among them, the coupling and coordination relationship between vegetation and soil is the key to the smooth implementation of ecological restoration and the project of returning farmland to forest and grassland. However, people have neglected whether the choice of vegetation restoration method is suitable for the development of ecological environment in this region, and whether vegetation and soil coexist harmoniously. In this paper, the typical watersheds with similar terrain environment but different vegetation restoration methods were selected as the research objects, which were Dongzhuanggou (natural restoration, NR) and Yangjiagou (artificial restoration, AR). Through vegetation investigation and soil physical property experiment, the comprehensive evaluation function was used to quantify the impact of restoration methods on vegetation characteristics and soil properties, and the vegetation-soil coupling model was used to explore the coordinated development of vegetation and soil under different restoration methods. The results showed that there were significant differences between the two restoration methods in terms of vegetation characteristics (P < 0.05). The vegetation diversity indices of NR were 1.59-4.81 times that of AR. For root characteristic indices, NR was 1.05-2.25 times that of AR. For soil physical properties, there was no significant difference between the two restoration methods (P > 0.05). The comprehensive evaluation function of vegetation (VCE) and soil (SCE) under NR were 0.74 and 0.42, respectively, while those under AR were 0.55 and 0.63, respectively. The comprehensive function showed that the vegetation population performance under NR was slightly better than that under AR, while the soil restoration effect was opposite. Under the two restoration methods, the vegetation-soil coupling relationship was barely coordinated (NR: 0.53; AR: 0.54), and both were the intermediate coordinated development mode. The vegetation diversity, tending level and soil management level should be improved simultaneously during the process of vegetation restoration on the Chinese Loess Plateau.

Synergistic effects aided the growth of black locust in reclaimed areas of semi-arid open-pit coal mines

The mining of mineral resources has caused serious damage to the ecosystems of mining areas, resulting in the degradation of large areas of vegetation. In the Loess Plateau in particular, the ecological environment is fragile, and soil erosion is serious. It is urgent to restore vegetation and to improve the quality of the damaged environment. In the process of restoring the vegetation in the Pingshuo opencast mining area, this paper investigates the growth rates of species and the factors that affect these rates. The results showed that the maximum growth rate of Robinia pseudoacacia was 0.25 m/year in Mingled stand and 0.23 m/year in pure stand. The growth rate of R. pseudoacacia in Mingled stand was higher than that in pure stand, and the diversity indicators in the Mingled stand plots were higher than those in the pure stand plots. The stepwise regression analysis of the species diversity index, soil, and climate with the growth rate of the two plots showed that Margalef’s richness index had a significant effect on the growth rate of R. pseudoacacia in Mingled stands. This indicates that the R. pseudoacacia in our study area grows faster in mingled stand and that the Ulmus pumila and Ailanthus altissima that belong to the broad-leaved forest will grow together with R. pseudoacacia. The configuration pattern of broad-leaved pure stand is more singular than that of broad-leaved mingled stand, so the pure stand is not more suitable for vegetation restoration in the mining area.

Bio-Matrix Pot Addition Enhanced the Vegetation Process of Iron Tailings by Pennisetum giganteum

The barrenness of large mine tailing sand reservoirs increases the risks for landslides and erosion that may be accompanied with transfer of contaminants into the surrounding environment. The tailing sand is poor in nutrients, which effectively complicates the vegetation process. We investigated direct planting of Pennisetum giganteum into tailing sand using two pit planting methods: the plants were transplanted either directly into pits filled with soil or into soil-filled bio-matrix pots made of organic material. After growing P. giganteum in iron tailing sand for 360 days, the dry weight of the plants grown in the bio-matrix pot (T2) was approximately twofold higher than that of the plants grown in soil placed directly into the sand (T1). At 360 days, the organic matter (OM) content in the soil below the pit was the lowest in the not-planted treatment (T0) and the highest in T2, the available N (AN) contents were higher in T1 and T2 than in T0, and the available P and K contents were the highest in T2. At 360 days, the Shannon diversity of the soil microbial communities was higher in T1 and T2 than in T0, and the community compositions were clearly separated from each other. The profiles of predicted C cycle catabolism functions and N fixation-related functions in T1 and T2 at 360 days were different from those in the other communities. The results showed that P. giganteum grew well in the iron tailing sand, especially in the bio-matrix pot treatment, and the increased nutrient contents and changes in microbial communities indicated that using the bio-matrix pot in planting had potential to improve the vegetation process in iron tailing sands effectively.

Evaluation of Ecological Stability in Semi-Arid Open-Pit Coal Mining Area Based on Structure and Function Coupling during 2002–2017

Open-pit coal mining plays an important role in supporting national economic development; however, it has caused ecological problems and even seriously impacted regional ecological stability. Given the importance of maintaining ecological stability in semi-arid coal mining areas, this study used a coupling coordination degree approach based on the structural and functional state transition model (SFSTM) to evaluate the spatio–temporal variation of ecological stability from 2002 to 2017 by using MODIS and Landsat datasets in the semi-arid open-pit coal mining area. Besides, random points were created for different ecological stability levels (containing natural areas, coal mining areas, and reclamation areas) and segment linear regression was conducted to determine the structural change threshold for negative state transitions based on mining and positive state transitions based on reclamation. Furthermore, the impact factors of ecological stability were analyzed. Results showed that ecological stability fluctuated significantly over 16 years, showing a trend of first increasing and then decreasing. It was found that precipitation and temperature were the key natural factors affecting ecological stability, and mining activities constituted the dominant factor. The average perturbation distances to ecological stability from mining activities in the west, southwest, and east mining groups were 7500, 5500, and 8000 m, respectively. SFSTM is appliable to the coal mining ecosystem. Quantitative models of ecological stability response can help resolve ambiguity about management efficacy and the ecological stability results facilitate iterative updating of knowledge by using monitoring data from coal mining areas. Moreover, the proposed ecological structural threshold provides a useful early warning tool, which can aid in the reduction of ecosystem uncertainty and avoid reverse transformations of the positive state in the coal mining areas.

A research on dust suppression mechanism and application technology in mining and loading process of burnt rock open pit coal mines

In order to solve the serious dust pollution problem in mining and loading process of burnt rock open-pit coal mines, a dust suppression technology was proposed to investigate the compound dust suppressant with four functions of wetting, coagulation, moisture absorption, and moisture retention, and improve the hydrophilicity and dust suppression efficiency of burnt rock. Through single-factor experiments, four functional reagents were selected. Determined the best mass concentration ratio by orthogonal test, and the optimum dilution ratio was determined through the contact angle verification test. Fourier infrared spectroscopy (FTIR) analysis of the functional group of the compound dust suppressant showed that the hydrophilic functional group was increased. The scanning electron microscopy (SEM) revealed that the dust surface formed a dense film after spraying the dust suppressant, and the effect of fine dust coagulation was obvious. The results of the wind tunnel simulation test revealed that the inhibitory efficiency of the compound dust suppressant on total dust and respirable dust could reach up to 81.90% and 87.06%, respectively, under a wind speed of 4.00 m/s. The field test data for mining and loading spray dust suppression in open-pit coal mines revealed that the dust suppression efficiency of whole dust and respirable dust was greater than 85.70%, which indicates that the compound dust suppressant can effectively suppress the dust of burnt rock, and effectively improve the working environment quality of mining and loading in open-pit coal mines.Implications: Open-pit coal mines located in arid areas will produce a large amount of dust during the mining and loading process, which will cause serious air pollution. In particular, the burnt rock is highly hydrophobic, and it is difficult to achieve effective removal by water spraying. The open-pit coal mine face advances faster and has strong mobility, There are few researches on dust reduction in this link. Therefore, in this study, in order to improve the dust suppression efficiency in the mining and loading process, a compound dust suppressant to improve the hydrophilicity of the burnt rock was developed through single-factor experiments and orthogonal experiments. Microscopic analysis using FTIR and SEM confirmed the wetting and coagulation effect of the dust suppressant. Then designed a spray dust suppression program for the mining and loading process and achieved good results.

Impact of Coal Mining on the Moisture Movement in a Vadose Zone in Open-Pit Mine Areas

Long-term dewatering of groundwater is a necessary operation for mining safety in open-pit coal mines, as extensive dewatering might cause ecological problems due to dramatic changes in moisture movement in the soil, especially in ecologically fragile areas. In order to evaluate the impact of the coal mining operation on moisture movement in the vadose zone and vegetation, this paper presents a quantitative methodology and takes the Baorixile open-pit coal mine as a study example. A long-term in situ experiment (from 2004 to 2018), laboratory analysis, and numerical modelling were conducted to analyze the mechanisms and relationship among the dropping groundwater level, the vadose-zone moisture, and the ecological responses in the grassland area. The experiment data and modelling results suggest that groundwater level dropping during open-pit mining operation has limited influence on the vadose zone, exhibiting a variation of capillary water zone within a depth of 3 m while the vadose zone and soil water zone were at least 16 m deep. The critical evaporation depth of ground water is 8 m. The long-term influence radius of groundwater dewatering is about 2.72 km during the Baorixile mining operation, and the groundwater level change mainly influences the lower part of the intermediate vadose zone and the capillary water zone below 16 m, with little influence on the moisture contents in the soil water zone where the roots of shallow vegetation grow. The results from this study provide useful insight for sustainable development of coal mining in ecologically fragile areas.

ROLE OF BAMBOO FOR REVEGETATION OF POST COAL MINING IN SOUTH SUMATERA, INDONESIA

Coal mining activities have affected the soil and vegetation conditions on the mined land. Revegetation of ex-mining land is a must to balance environmental functions. The choice of plants must be adapted to the conditions of the ex-mining land so that growth continues. The use of local plants for revegetation is fascinating to study. This study aimed to investigate the soil characteristics of ex-coal mining land and bamboo growth as a plant used for revegetation. Bamboo is collected from around the former coal mining area. Bamboo growth is observed through its branching for 12 weeks of measurement. Soil is analyzed based on its physical and chemical properties. The Schmidt-Ferguson method was used to analyze the climate type in the study area. The results of the soil analysis show that the plants can still grow for revegetation. Of the three types of bamboo observed (Schizostachyum brachycladum kurz, Dendrocalamus asper, and Gigantochloa robusta), Schizostachyum brachycladum kurz is the best growing bamboo in ex-coal mining land with a branch length of 42 cm in 12 weeks of measurement. The climate in the ex-coal mining area studied is a wet type (Q = 0.184). Bamboo is a suitable plant for revegetation, especially in coal mining areas in South Sumatra, Indonesia.