Soil microbial community changes as a result of long-term exposure to a natural CO2 vent

Oppermann, Birte I.; Michaelis, Walter; Blumenberg, Martin; Frerichs, Janin; Schulz, Hans-Martin; Schippers, Axel; Beaubien, S.E.; Krüger, Martin

doi:10.1016/j.gca.2010.02.006

Cited by 144 publications

(115 citation statements)

References 108 publications

(101 reference statements)

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“…Higher values were detected for Crenarchaeota with 10 7 -10 9 16S rDNA gene copy numbers gdw -1 in CO 2 -exposed and 10 8 -10 9 gene copy numbers gdw -1 in reference samples (Table 2). Similar values for both mcrA and crenarchaeal gene copies were detected in previous studies for different soil types (Oppermann et al 2010;Angel et al 2012;Frerichs et al 2013;Dubey et al 2014). …”

Section: Co 2 Impacts On Soil Microbial Abundancesupporting

confidence: 88%

“…Similar CH 4 production rates have been detected in previous studies at natural CO 2 vents with values between 0.001 and 0.1 µmol d -1 gdw -1 (Oppermann et al 2010;Beulig et al 2015). However, distinct increasing CH 4 production rates with increasing CO 2 concentration as described at natural sites could not be detected at the ASGARD site.…”

Section: Co 2 Impacts On Soil Microbial Activitysupporting

confidence: 88%

“…Similar results were detected for the CO 2 injection site PISCO 2 as well as for some natural CO 2 vents (Beaubien et al 2008;Frerichs et al 2013;Beulig et al 2015;Fernández-Montiel et al 2015). In contrast, decreasing microbial gene copy numbers by up to two orders of magnitude with increasing CO 2 at natural CO 2 vents were previously detected (Oppermann et al 2010;. Similar results were detected during a previous 19 weeks gas release experiment at the ASGARD site in 2009 with decreasing total microbial numbers detected with, however, different methodological approaches (West et al 2009(West et al , 2015.…”

Section: Co 2 Impacts On Soil Microbial Abundancesupporting

confidence: 85%

“…Oppermann et al 2010;Frerichs et al 2013;Fernández-Montiel et al 2015). However, CO 2 -induced differences in aerobic and anaerobic CO 2 production rates as described in these studies, could not be detected for the ASGARD site (Oppermann et al 2010;Frerichs et al 2013). In addition, no significant CO 2 impact over time was detected for the CH 4 production and oxidation (Figure 2c and 2d).…”

Section: Co 2 Impacts On Soil Microbial Activitymentioning

confidence: 47%

“…However, contrary results were detected especially for natural CO 2 vents with both increasing and decreasing numbers of mcrA genes with increasing CO 2 concentration (Oppermann et al 2010;Frerichs et al 2013). Gene copy numbers of ammonia-oxidizing Bacteria (AOB) in May samples ranged between 10 6 -10 8 for both CO 2 -exposed and reference samples.…”

Section: Co 2 Impacts On Soil Microbial Abundancementioning

confidence: 87%

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Long-term CO₂injection and its impact on near-surface soil microbiology

Gwosdz

West

Jones

et al. 2016

FEMS Microbiology Ecology

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Impacts of long-term CO 2 exposure on environmental processes and microbial populations of near surface soils are poorly understood. This near-surface long-term CO 2 injection study demonstrated that soil microbiology and geochemistry is influenced more by seasonal parameters than elevated CO 2 . Soil samples were taken during a three-year field experiment including sampling campaigns before, during and after 24 months of continuous CO 2 injection. CO 2 concentrations within CO 2 -injected plots increased up to 23% during the injection period. No CO 2 impacts on geochemistry were detected over time. In addition, CO 2 -exposed samples did not show significant changes in microbial CO 2 and CH 4 turnover rates compared to reference samples. Likewise, no significant CO 2 -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 into 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 (PCA) showed no significant CO 2 -induced variation. Instead, seasonal impacts especially temperature and precipitation were detected.3

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Section: Co 2 Impacts On Soil Microbial Abundancesupporting

confidence: 88%

Section: Co 2 Impacts On Soil Microbial Activitysupporting

confidence: 88%

Section: Co 2 Impacts On Soil Microbial Abundancesupporting

confidence: 85%

Section: Co 2 Impacts On Soil Microbial Activitymentioning

confidence: 47%

Section: Co 2 Impacts On Soil Microbial Abundancementioning

confidence: 87%

See 3 more Smart Citations

Long-term CO₂injection and its impact on near-surface soil microbiology

Gwosdz

West

Jones

et al. 2016

FEMS Microbiology Ecology

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A refined paleotemperature calibration for New Zealand limnic environments using differentiation of branched glycerol dialkyl glycerol tetraether (brGDGT) sources

Zink

Vandergoes

Bauersachs

et al. 2016

J Quaternary Science

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Branched glycerol dialkyl glycerol tetraethers (brGDGTs) were abundant in surface sediments of freshwater lakes and in catchment soils at altitudes from 10 to 2020 m in New Zealand. Significant differences in brGDGT compositions between lake sediments and soils indicate sources from separate microbial habitats. An expanded modern calibration dataset comprising 33 lakes has enabled a revised calibration function for determining past mean annual air temperature (MAT) from brGDGTs in New Zealand lake sediments: MAT (°C) = −31.664 × MBTm + 16.252 (n = 30). The function uses a modified methylation index of branched tetraethers (MBTm) that incorporates brGDGT III in the numerator to overcome the lower correlation found between our larger dataset and the unmodified MBT which had been used for previous calibrations. Calibrations combining the cyclization index of branched tetraethers (CBT) and the MBTm or using only certain brGDGTs are possible but have limitations. The revised function shows slightly higher correlation with MAT (R2 = 0.75) than previous calibrations, which were based on nine sites. The refined calibration function is applied to a ∼16 000‐year lake sediment sequence from northern South Island, New Zealand, and yields temperature reconstructions that are consistent with independently derived climate trends from the same sequence.

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