Long-term CO2 injection and its impact on near-surface soil microbiology
Autor: | Julia M. West, Michael D. Steven, K.A. Green, David G. Jones, Jana Rakoczy, Martin Krüger, Simone Gwosdz, T. S. Barlow, Marco Blöthe, Karon L. Smith |
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Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Greenhouse Effect Firmicutes 030106 microbiology 010501 environmental sciences 01 natural sciences Applied Microbiology and Biotechnology Microbiology DNA Ribosomal Actinobacteria 03 medical and health sciences Soil Crenarchaeota RNA Ribosomal 16S Botany Phylogeny Soil Microbiology 0105 earth and related environmental sciences Ecology biology Bacteria Bacteroidetes Carbon Dioxide biology.organism_classification United Kingdom Environmental chemistry Soil water Proteobacteria Soil microbiology Acidobacteria |
Zdroj: | FEMS microbiology ecology. 92(12) |
ISSN: | 1574-6941 |
Popis: | Impacts of long-term CO2 exposure on environmental processes and microbial populations of near-surface soils are poorly understood. This near-surface long-term CO2 injection study demonstrated that soil microbiology and geochemistry is influenced more by seasonal parameters than elevated CO2. Soil samples were taken during a 3-year field experiment including sampling campaigns before, during and after 24 months of continuous CO2 injection. CO2 concentrations within CO2-injected plots increased up to 23% during the injection period. No CO2 impacts on geochemistry were detected over time. In addition, CO2-exposed samples did not show significant changes in microbial CO2 and CH4 turnover rates compared to reference samples. Likewise, no significant CO2-induced variations were detected for the abundance of Bacteria, Archaea (16S rDNA) and gene copy numbers of the mcrA gene, Crenarchaeota and amoA gene. The majority (75%–95%) of the bacterial sequences were assigned to five phyla: Firmicutes, Proteobacteria, Actinobacteria, Acidobacteria and Bacteroidetes. The majority of the archaeal sequences (85%–100%) were assigned to the thaumarchaeotal cluster I.1b (soil group). Univariate and multivariate statistical as well as principal component analyses showed no significant CO2-induced variation. Instead, seasonal impacts especially temperature and precipitation were detected. |
Databáze: | OpenAIRE |
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