Environmental Science & Technology · 2021 · 31 citations · 72 references
AgriculturePlant SciencesSoil SciencesSoil BiogeochemistrySoil ChemistrySoil ScienceMineral-associated Organic CarbonPlant-soil InteractionsPlant-soil Nutrient InteractionsRhizosphere BiogeochemistryRhizosphere ProcessesSoil Carbon ChemistryCarbon AssociationMineral-associated Organic MatterMineral-mineral InteractionsMineral-organic Matter InteractionsRhizosphere Carbon TurnoverRoot Soil InteractionTotal Organic CarbonTotal Organic Carbon Analysis
Minerals preserve the oldest, most persistent soil carbon, and mineral characteristics appear to play a critical role in the formation of soil organic matter (SOM) associations. To test the hypothesis that roots, and differences in carbon source and microbial communities, influence mineral SOM associations over short timescales, we incubated permeable mineral bags in soil microcosms with and without plants, inside a 13CO2 labeling chamber. Mineral bags contained quartz, ferrihydrite, kaolinite, or soil minerals isolated via density separation. Using 13C-nuclear magnetic resonance, Fourier transform ion cyclotron resonance mass spectrometry, and lipidomics, we traced carbon deposition onto minerals, characterizing total carbon, 13C enrichment, and SOM chemistry over three growth stages of Avena barbata. Carbon accumulation was rapid and mineral-dependent but slowed with time; the accumulated amount was not significantly affected by root presence. However, plant roots strongly shaped the chemistry of mineral-associated SOM. Minerals incubated in a plant rhizosphere were associated with a more diverse array of compounds (with different functional groups—carbonyl, aromatics, carbohydrates, and lipids) than minerals incubated in an unplanted bulk soil control. We also found that many of the lipids that sorbed to minerals were microbially derived, including many fungal lipids. Together, our data suggest that diverse rhizosphere-derived compounds may represent a transient fraction of mineral SOM, rapidly exchanging with mineral surfaces.
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nlme : Linear and nonlinear mixed effects models
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