The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Procedure for Isolating Soil Organic Matter Fractions Suitable for Modeling
Abstract
Fractions of soil organic matter (SOM) were obtained from three soils using alternative physical fractionation procedures, and evaluated against the requirements of model pools. We compared two‐stage density fractionation (isolating free and intra‐aggregate fractions, before and after dispersion, respectively) with particle‐size separation of dispersed soil. For full comparison, the organomineral fraction residual from density fractionation was also size separated. In standardizing the density‐based method, we found recovery of intra‐aggregate organic matter highly sensitive to separation density as compared with the free. Recovery of the intra‐aggregate was also influenced by dispersion energy. The greatest amount was obtained using a combination of the highest density (1.80 g cm −3 ) and dispersion energy (1500 J g −1 ). Analysis by 13 C nuclear magnetic resonance (NMR) showed O‐alkyl/alkyl‐C ratios 1.38 to 2.30 times greater in intra‐aggregate organic matter than in the free. Diffuse reflectance Fourier transform infrared spectroscopy (DRIFT) also indicated a greater proportion of aliphatic hydrocarbon, carboxylic anions, and aromatic C in intra‐aggregate organic matter. The findings suggest this fraction comprises more decomposed and transformed organic matter relative to the free. Higher signal/noise ratios in NMR spectra of particle‐size fractions (compared with their organomineral equivalents) were attributed to C in particulate SOM, not removed by prior density separation. Whilst particle‐size fractions confuse particulate SOM with that attached to mineral surfaces, fractions isolated by two‐stage density separation are small in number and display distinct chemical properties. We suggest they provide a sound basis for a model of SOM turnover based on measurable pools.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Soil structure and carbon cycling
Golchin, A., Oades, J., Skjemstad, J., & Clarke, P. (1994) · Australian Journal of Soil Research · doi:10.1071/sr9941043 · Cited by 669
Cited by
Black carbon affects the cycling of non-black carbon in soil
Liang, B., Lehmann, J., Sohi, S. P., Thies, J. E., O’Neill, B., Trujillo, L., Gaunt, J., Solomon, D., Grossman, J., Neves, E. G., et al. (2010) · Organic Geochemistry · doi:10.1016/j.orggeochem.2009.09.007 · Cited by 668
Self-citationMeasured soil organic matter fractions can be related to pools in the RothC model
Zimmermann, M., Leifeld, J., Schmidt, M. W. I., Smith, P., & Fuhrer, J. (2007) · European Journal of Soil Science · doi:10.1111/j.1365-2389.2006.00855.x · Cited by 469
Schrumpf, M., Kaiser, K., Guggenberger, G., Persson, T., Kögel-Knabner, I., & Schulze, E.-D. (2013) · Biogeosciences · doi:10.5194/bg-10-1675-2013 · Cited by 361
Rees, R. M., Bingham, I. J., Baddeley, J. A., & Watson, C. A. (2005) · Geoderma · doi:10.1016/j.geoderma.2004.12.020 · Cited by 235
Cover crop root contributions to soil carbon in a no‐till corn bioenergy cropping system
Austin, E. E., Wickings, K., McDaniel, M. D., Robertson, G. P., & Grandy, A. S. (2017) · GCB Bioenergy · doi:10.1111/gcbb.12428 · Cited by 192
Metadata
- Authors
- Sohi, S. P., Mahieu, N., Arah, J. R. M., Powlson, D. S., Madari, B., & Gaunt, J. L.
- Venue
- Soil Science Society of America Journal
- Publisher
- Wiley
- Published
- 2001-07
- Volume
- 65
- Issue
- 4
- Pages
- 1121-1128
- ISSN
- 0361-5995 (ISSN-L)
- 1435-0661
- OpenAlex
- W2077412628
- Cited by
- 435
- References
- 1
- FWCI
- 21.77
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Procedure for Isolating Soil Organic Matter Fractions Suitable for Modeling. https://app.cochat.ai/papers/10.2136/sssaj2001.6541121x
- The paper
- Sohi, S. P., Mahieu, N., Arah, J. R. M., Powlson, D. S., Madari, B., & Gaunt, J. L. (2001). A Procedure for Isolating Soil Organic Matter Fractions Suitable for Modeling. Soil Science Society of America Journal. https://doi.org/10.2136/sssaj2001.6541121x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.