ArticleMicroorganisms2020
Molecular Ecological Network Complexity Drives Stand Resilience of Soil Bacteria to Mining Disturbances among Typical Damaged Ecosystems in China.
Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- The Ecological Trap: Biodegradable Mulch Film Residue Undermines Soil Fungal Network Stability.Microorganisms · 2025Article
- Effects of combined exposure to heavy metals on lower respiratory flora and its role of lung injury in rats.Frontiers in microbiology · 2025Article
- Diversity and Distribution of Fungi in the Marine Sediments of Zhanjiang Bay, China.Journal of fungi (Basel, Switzerland) · 2024Article
- Effect of Coal Mining on Soil Microorganisms fromInternational journal of environmental research and public health · 2023Article
- Adaptive Development of Soil Bacterial Communities to Ecological Processes Caused by Mining Activities in the Loess Plateau, China.Microorganisms · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
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
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Registered trials
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