Comparison of Plant and Microbial Communities between an Artificial Restoration and a Natural Restoration Topsoil in Coal Mining Subsidence Area

Liu, Ying; Lei, Shaogang; Gong, Chuangang; Bian, Zhengfu

doi:10.20944/preprints201808.0073.v1

Cited by 6 publications

(7 citation statements)

References 28 publications

(51 reference statements)

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“…Vegetation restoration has a significant effect on the diversity of bacteria and fungi in soil. Perhaps this is because SOM is the primary source of carbon and nitrogen for microorganisms, thus SOM affects the microbial community diversity (Liu et al, 2019). CCA showed that SOM was one of the main factors influencing bacterial community in our study.…”

Section: Discussionmentioning

confidence: 59%

Shifts in Vegetation-Associated Microbial Community in the Reclamation of Coal Mining Subsidence Land

Sun

et al. 2020

Environmental Engineering Science

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The recovery of soil microbial community is important for reclamation success in coal mining subsidence land. This study aims to investigate the relationship between soil microbes and vegetation species in a reclamation area in Panji coal mining subsidence land, and to determine a suitable planting model to improve the soil physiochemical properties. In this experiment, Sesamum indicum and Glycine max, forge crops Medicago sativa and Sorghum sudanense, and Zea mays were planted, and amplicon high-throughput sequencing was applied to determine the soil microbial community structure. The results showed that significant growth-related dynamic changes in microbial community structure were mainly associated with the phylum of Proteobacteria, Actinobacteria, and Firmicutes, which accounted for 29.69%, 13.93%, and 12.51% in the total bacterial sequences, respectively. In addition, the activities of soil sucrase and urease showed a significant increasing with the decrease of pH, from 8.05 to 7.74. Correspondingly, plants had no significant effect on the fungal community composition, which comprised 52.55% of Ascomycota and 25.45% Basidiomycota, respectively. More important, soil pH was a crucial factor influencing the bacterial community structure. The study indicates that vegetation can improve the soil nutrient, enzyme activities, and microorganisms in the surface soil of the reclamation area and remit subsidence area soil alkalinization, which is of great significance for the ecosystem restoration in coal mining subsidence land.

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Section: Discussionmentioning

confidence: 59%

Shifts in Vegetation-Associated Microbial Community in the Reclamation of Coal Mining Subsidence Land

Sun

et al. 2020

Environmental Engineering Science

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“…In the present study, the SOC and TN concentrations and stocks were significantly greater in the ARSs than the NRS (especially in the top 0-40 cm soil layer). Liu et al (2019) also found that the organic matter level in the 5-30 cm depth was significantly higher in ARSs (8.75%) than in an NRS (4.72%) in the Shendong mining area of China, which may have been due to the rapid growth of vegetation and biomass accumulation in the ARSs, thereby increasing the SOC and TN inputs from plant litter and root residues (Liu et al, 2019). Indeed, more plant litter (broken branches and fallen leaves) was found on the ground surface at the ARSs in our study (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…5). Moreover, Liu et al (2019) reported that the microbial activity was higher in the RMSs, which was beneficial for the decomposition of plant residues, thereby leading to higher SOC and TN levels. However, the restoration of the soil quality in the disturbed mine land via natural succession is usually challenging because of its disordered stratigraphic sequence, server compaction, complicated surface materials, and degraded soil properties Ahirwal and Maiti, 2018;Yuan et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Peer Review #1 of "Revegetation pattern affecting accumulation of organic carbon and total nitrogen in reclaimed mine soils (v0.2)"

Maiti¹

2020

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Selecting optimal revegetation patterns, i.e., patterns that are more effective for soil organic carbon (SOC) and total nitrogen (TN) accumulation is particularly important for mine land reclamation. However, there have been few evaluations of the effects of different revegetation patterns on the SOC and TN in reclaimed mine soils on the Loess Plateau, China. In this study, the SOC and TN stocks were investigated at reclaimed mine sites (RMSs), including artificially revegetated sites (ARSs) (arbors [Ar], bushes [Bu], arborbush mixtures [AB], and grasslands [Gr]) and a natural recovery site (NRS), as well as at undisturbed native sites (UNSs). Overall, the SOC and TN stocks in the RMSs were lower than those in the UNSs over 10-13 years after reclamation. The SOC stocks in the RMSs and UNSs only differed in the top 0-20 cm of the soil (p < 0.05). Except for those in Ar, the SOC and TN stocks in the ARSs were significantly larger than those in the NRS (p < 0.05). Compared with those in the NRS, the total SOC stocks in the 100 cm soil interval increased by 51.4%, 59.9%, and 109.9% for Bu, AB, and Gr, respectively, and the TN stocks increased by 33.1%, 35.1%, and 57.9%. The SOC stocks in the 0-100 cm soil interval decreased in the order of Gr (3.78 kg m-2) > AB (2.88 kg m-2) ≥ Bu (2.72 kg m-2), and the TN stocks exhibited a similar trend. These results suggest that grasslands were more favorable than woodlands for SOC and TN accumulation in this arid area, especially in Ar. Thus, in terms of the accumulation of SOC and TN, grassland planting is recommended as a revegetation pattern for areas with reclaimed mine soils.

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“…Changes in the structure, composition, and functions of plant communities under the long-term effects of ground deformation caused by underground mining have been widely reported. In the Shendong mining area in China, the plant density, coverage, and biomass in parts of the area with mining subsidence were found to have decreased by 0-21.5% compared with an undisturbed area ; however, the vegetation canopy density, species richness, and plant numbers in some areas were also found to be equal to or even exceed those in an undisturbed area (Liu, Lei, et al, 2019). In the Daliuta mining area, the dominant plant species in the area where ground deformation had existed for 4 years were transformed from herb communities to shrub communities compared with an undisturbed area, and the number of perennial herbs also increased signi cantly (He et al, 2017).…”

Section: Introductionmentioning

confidence: 91%

Detecting long-term effects of mining-induced ground deformation on plant patterns in semi-arid areas using a cellular automata model

Zhang

Hou

et al. 2022

Preprint

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Contexts Mining-induced ground deformation has various effects on different plant communities. However, little is known about the effects of ground deformation on plant patterns after spontaneous succession, and there is currently no quantitative approach to the detection of these long-term effects. Objectives A plant community succession model (PCSM) based on cellular automate was developed, and the 30-year plant succession within a subsidence area in the Yungang mining area in China under mining and non-mining scenarios, as well as under two sets of initial conditions (plant-covered and bare), were simulated and compared. Methods The normalized mean square error (NMSE) was applied to test the accuracy of the PCSM and to reveal the effects of ground deformation at the patch scale, which was 0.06–0.59 for simulated and observed plant patterns. Six landscape indicators (contagion index (CONTAG), patch cohesion index (COHESION), landscape division (DIVISION), Shannon’s diversity index (SHDI), Shannon’s evenness index (SHEI), and aggregation index (AI)) were calculated for the mining and non-mining scenarios and compared to reveal the effects at the landscape scale. Results The results show that the DIVISION, SHDI, and SHEI were significantly higher in the mining scenario than in the non-mining scenario under plant-covered conditions; while the DIVISION was greater for the mining scenario than for the non-mining scenario, indicating that the ground deformation resulted in a loose, separated, and mixed plant pattern. The dynamics of the plant coverages and patterns in the two scenarios reflect the negative and positive effects of ground deformation on the tree and shrub communities, respectively. In terms of the shrub and tree communities, the NMSEs fluctuated at a high level under bare conditions, especially at the patch scale of 10 × 10 m, for which it was maintained at >0.5. Conclusion Overall, the mining-induced ground deformation chronically influenced the plant succession by limiting tree communities and promoting shrub communities, and it led to a heterogenous plant pattern. The results of this research provide a reference for detecting the long-term effects of mining-induced ground deformation on plant patterns, and they also provide insights into the effects of underground mining on different plant communities.

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Comparison of Plant and Microbial Communities between an Artificial Restoration and a Natural Restoration Topsoil in Coal Mining Subsidence Area

Cited by 6 publications

References 28 publications

Shifts in Vegetation-Associated Microbial Community in the Reclamation of Coal Mining Subsidence Land

Shifts in Vegetation-Associated Microbial Community in the Reclamation of Coal Mining Subsidence Land

Peer Review #1 of "Revegetation pattern affecting accumulation of organic carbon and total nitrogen in reclaimed mine soils (v0.2)"

Detecting long-term effects of mining-induced ground deformation on plant patterns in semi-arid areas using a cellular automata model

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