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:fddf7d9d-9694-4167-bbfe-8fb9d49f02a7
dcterms:title "Measurements of respiration, incorporation of litter carbon into soil fractions, and microbial community data using mineral-amended soils" ;
dcterms:identifier "https://catalogue.ceh.ac.uk/id/fddf7d9d-9694-4167-bbfe-8fb9d49f02a7","https://doi.org/10.5285/fddf7d9d-9694-4167-bbfe-8fb9d49f02a7" ;
dcterms:bibliographicCitation "Elias, D.M.O., Mason, K.E., Goodall, T., Taylor, A., Zhao, P., Farina, A.O., Chen, H., Peacock, C.L., Ostle, N.J., Griffiths, R., Chapman, P.J., Holden, J., Banwart, S., McNamara, N.P., Whitaker, J. (2025). Measurements of respiration, incorporation of litter carbon into soil fractions, and microbial community data using mineral-amended soils. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/fddf7d9d-9694-4167-bbfe-8fb9d49f02a7" ;
dcterms:description "This dataset includes measurements made during a laboratory-based study conducted between 10/2020 – 03/2021 on mineral amended soils with additions of two 13C labelled plant litters of contrasting quality. Data collected include: soil respiration (Carbon Dioxide (CO2))¬, total C content of bulk and soil fractions including mass and C recovery as a measure of the efficacy of the fractionation method, 13C enrichment of CO2 and soil fractions expressed as litter derived C, microbial data from bacterial (16S Small subunit ribosomal RNA) and fungal (internal transcribed spacer region 2) high throughput sequences. These data were collected to determine the relative effects of litter quality and soil mineralogy on the formation of soil C from plant material and may be useful to link plant inputs, soil microbes and soil mineralogy in the next generation of SOC models. Resolving the key fundamental mechanisms that control SOM persistence is crucial to optimise land management for SOC and predict soil C feedback to climate change. The experiment was part of the NERC project NE/S005137/2" ;
dcterms:provenance [
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rdfs:label "Soil was collected from a commercial farm near Glassonby, Penrith and amended with pristine minerals (Kaolinite, Montmorillonite or Goethite) to create soil mineral treatments. Two 13C labelled litters were prepared in-house and added to soils to investigate the effect of litter quality and soil mineralogy on soil organic matter formation. The laboratory experiment was carried out at UK Centre for Ecology & Hydrology in Lancaster and soils were incubated under controlled conditions for 126 days. Respiration of litter-C was quantified by headspace CO2 and 13CO2 analysis on microcosms throughout the 126-day duration of the experiment and application of a two-component isotope mixing model. Concentrations of CO2 were analysed on a calibrated PerkinElmer Autosystem XL Gas Chromatograph. δ13C values of CO2 were analysed using a Picarro cavity ring-down spectrometer (model: G2201-I, Picarro, Inc. CA, USA). For enriched samples the instrument was calibrated for δ13C-CO2 using in-house prepared gas standards of 97.7 ‰ and 815 ‰. Litter carbon in soil fractions was determined by physicochemical density soil fractionation, and fractions analysed for C and δ13C using a Costech ECS-4010 Elemental Analyser (Costech Analytical Technologies, USA) coupled to a calibrated (cane sugar (−11.64 ‰), beet sugar (−26.03 ‰), enriched glucose (197.90 ‰) (IsoAnalytical, UK)) CRDS Picarro G-2131i isotopic analyser (Picarro Inc. CA, USA) and application of a two-component isotope mixing model. Bacterial and fungal community compositions were assessed using 16S rRNA and ITS2 amplicon sequencing using the Illumina MiSeq platform with V2 500 cycle chemistry. Sequences were processed using the DADA2 pipeline to trim, quality-filter, de-noise, de-replicate, generate amplicon sequence variant tables and assign taxonomies."
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