Abstract:The technology of carbon dioxide (CO2) capture and storage (CCS) has provided a new option for mitigating global anthropogenic emissions with unique advantages. However, the potential risk of gas leakage from CO2 sequestration and utilization processes has attracted considerable attention. Moreover, leakage might threaten soil ecosystems and thus cannot be ignored. In this study, a simulation experiment of leakage from CO2 geological storage was designed to investigate the short-term effects of different CO2 l… Show more
“…This suggested that Acidobacteria was significantly correlated with the soil pH value. Ma et al [40] have reported similar results, that is, the abundance of Acidobacteria changed with variations in the soil pH value. In this study, this result indicated that external environmental variables affected the network interactions among different microbial groups and that such changes may be related to soil properties, such as the pH value.…”
Section: Discussionmentioning
confidence: 64%
“…We know that Proteobacteria is widely distributed around the world. It has an aerobic bacterium that is capable of degrading a variety of contaminants, as well as some bacteria that produces several oxidases that oxidize diverse compounds [40]. Proteobacteria has a highly diverse physiology and is distributed in almost all of the different ecological environments.…”
Understanding the interactions of soil microbial species and how they responded to disturbances are essential to ecological restoration and resilience in the semihumid and semiarid damaged mining areas. Information on this, however, remains unobvious and deficiently comprehended. In this study, based on the high throughput sequence and molecular ecology network analysis, we have investigated the bacterial distribution in disturbed mining areas across three provinces in China, and constructed molecular ecological networks to reveal the interactions of soil bacterial communities in diverse locations. Bacterial community diversity and composition were classified measurably between semihumid and semiarid damaged mining sites. Additionally, we distinguished key microbial populations across these mining areas, which belonged to Proteobacteria, Acidobacteria, Actinobacteria, and Chloroflexi. Moreover, the network modules were significantly associated with some environmental factors (e.g., annual average temperature, electrical conductivity value, and available phosphorus value). The study showed that network interactions were completely different across the different mining areas. The keystone species in different mining areas suggested that selected microbial communities, through natural successional processes, were able to resist the corresponding environment. Moreover, the results of trait-based module significances showed that several environmental factors were significantly correlated with some keystone species, such as OTU_8126 (Acidobacteria), OTU_8175 (Burkholderiales), and OTU_129 (Chloroflexi). Our study also implied that the complex network of microbial interaction might drive the stand resilience of soil bacteria in the semihumid and semiarid disturbed mining areas.
“…This suggested that Acidobacteria was significantly correlated with the soil pH value. Ma et al [40] have reported similar results, that is, the abundance of Acidobacteria changed with variations in the soil pH value. In this study, this result indicated that external environmental variables affected the network interactions among different microbial groups and that such changes may be related to soil properties, such as the pH value.…”
Section: Discussionmentioning
confidence: 64%
“…We know that Proteobacteria is widely distributed around the world. It has an aerobic bacterium that is capable of degrading a variety of contaminants, as well as some bacteria that produces several oxidases that oxidize diverse compounds [40]. Proteobacteria has a highly diverse physiology and is distributed in almost all of the different ecological environments.…”
Understanding the interactions of soil microbial species and how they responded to disturbances are essential to ecological restoration and resilience in the semihumid and semiarid damaged mining areas. Information on this, however, remains unobvious and deficiently comprehended. In this study, based on the high throughput sequence and molecular ecology network analysis, we have investigated the bacterial distribution in disturbed mining areas across three provinces in China, and constructed molecular ecological networks to reveal the interactions of soil bacterial communities in diverse locations. Bacterial community diversity and composition were classified measurably between semihumid and semiarid damaged mining sites. Additionally, we distinguished key microbial populations across these mining areas, which belonged to Proteobacteria, Acidobacteria, Actinobacteria, and Chloroflexi. Moreover, the network modules were significantly associated with some environmental factors (e.g., annual average temperature, electrical conductivity value, and available phosphorus value). The study showed that network interactions were completely different across the different mining areas. The keystone species in different mining areas suggested that selected microbial communities, through natural successional processes, were able to resist the corresponding environment. Moreover, the results of trait-based module significances showed that several environmental factors were significantly correlated with some keystone species, such as OTU_8126 (Acidobacteria), OTU_8175 (Burkholderiales), and OTU_129 (Chloroflexi). Our study also implied that the complex network of microbial interaction might drive the stand resilience of soil bacteria in the semihumid and semiarid disturbed mining areas.
“…TN was determined using the semi-micro Kjeldahl method [46]. Soil AP was determined using the hydrochloric acid ammonium chloride method [47]. Soil AK was determined by caries by ammonium acetate extraction-flame photometry [46] (FP640, Jingke, Shanghai, China).…”
China has widely implemented land consolidation, which was expected to increase the amount of cultivated land and enhance grain yields. Key components of land consolidation include filling mall waterbodies and leveling land, both of which have strong impacts on the environment in the Yangtze River Delta. The impacts of land consolidation on soil ecology and agricultural production are not yet clear. Here, we conducted a field survey of soil properties and rice growth to detect the effects of land consolidation in the first growing season. The normalized difference vegetation index (NDVI) was used to analyze the remote sensing data. We found significant differences in the soil properties under different types of land leveling, with a general NDVI pattern of: control > borrowed topsoil area > filled waterbodies area > topsoil cutting area. We found significant heterogeneity in rice NDVI after land consolidation. The NDVI of rice had extremely significant positive correlations with soil organic matter and available zinc. The spatial variation in soil properties caused by land consolidation was a dominant factor leading to the heterogeneity of rice NDVI. Fertilizing soil and strengthening field management should be adopted to provide more ecological services while increasing quantity.
“…This suggested that Acidobacteria was significantly correlated with the soil pH value. Ma et al[35] have reported similar results that the abundance of Acidobacteria changed with variation in the soil pH value. In this study, this result indicated that external environmental variables affected the network interactions among different microbial groups and that such changes may be related to soil properties, such as pH value.…”
Background: Understanding the interactions among soil microbial species and how they responded to disturbances are essential to ecological restoration and resilience in the semi-humid and semi-arid damaged mining areas. This information, however, remains unclear and poorly understood. In this study, we investigated the bacterial distribution in disturbed mining areas across three provinces of China, and constructed molecular ecological networks to reveal the interactions among soil bacterial communities in different locations. Furthermore, we examined the relationship between the microbial network topology and environmental factors to show if there is a correlation between the resilience of bacterial community and external pressure.
Results: Bacterial community diversity and composition differed dramatically among different locations, such as the semi-humid and semi-arid disturbed mining areas. Additionally, based on the network topology, we distinguished key microbial populations across these mining areas, which belonged to Proteobacteria , Acidobacteria , Actinobacteria , and Chloroflexi . Moreover, the network modules were significantly correlated with some environmental factors, which suggested that microbial interactions might change the soil resilience to the interference resulted from damaged mining areas, then furtherly affect soil ecosystem functions.
Conclusions: This study showed that network interactions were completely different across the different mining areas. The keystone species in different mining areas suggested that selected different microbial communities to resist the adverse environment. Moreover, the results of trait-based module significances showed that several environmental factors were significantly correlated with some keystone species. Our study also implied that the complex network of microbial interaction might drive the stand resilience of soil bacteria in the semi-humid and semi-arid disturbed mining areas.
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