Applications of X ‐ray computed tomography for examining biophysical interactions and structural development in soil systems: a review
Abstract
Summary Soil systems are characterized by the spatial and temporal distribution of organic and mineral particles, water and air within a soil profile. Investigations into the complex interactions between soil constituents have greatly benefited from the advent of non‐invasive techniques for structural analysis. In this paper we present a review of the application of one such technique, X ‐ray computed tomography ( CT ), for studies of undisturbed soil systems, focusing on research during the last 10 years in particular. The ability to undertake three‐dimensional imaging has provided valuable insights regarding the quantitative assessment of soil features, in a way previously unachievable because of the opaque nature of soil. A dynamic approach to the evaluation of soil pore networks, hydro‐physical characteristics and soil faunal behaviour has seen numerous scanning methodologies employed and a diverse range of image analysis protocols used. This has shed light on functional processes across multiple scales whilst also bringing its own challenges. In particular, much work has been carried out to link a soil's porous architecture with hydraulic function, although new technical improvements allowing the characterization of organic matter and the influence of soil biota on structural development are showing great promise. Here we summarize the development of X ‐ray CT in soil science, highlight the major issues relating to its use, outline some of the applications for overcoming these challenges and describe the potential of future technological advances for non‐invasive soil characterization through integration with other complementary techniques.
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X-ray tomography is a non-destructive technique that can be used for soil structural analysis and can shed light on processes integrating soil physical and biological properties.
“X-ray tomography is another non-destructive technique that can be used for soil structural analysis and can shed light on processes integrating soil physical and biological properties (Helliwell et al., 2013).”
From Soil quality – A critical review (2018) · cites this paper as Helliwell et al., 2013
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Soil quality – A critical review
Bünemann, E. K., Bongiorno, G., Bai, Z., Creamer, R. E., De Deyn, G., de Goede, R., Fleskens, L., Geissen, V., Kuyper, T. W., Mäder, P., et al. (2018) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2018.01.030 · Cited by 2,960 · see citing works
- Authors
- Helliwell, J. R., Sturrock, C. J., Grayling, K. M., Tracy, S. R., Flavel, R. J., Young, I. M., Whalley, W. R., & Mooney, S. J.
- Affiliations
- University of Nottingham (GB)
- University of New England (AU)
- Rothamsted Research (GB)
- Corresponding author
- Mooney, S. J.
- ORCID
- Venue
- European Journal of Soil Science
- Publisher
- Wiley
- Published
- 2013-03
- Volume
- 64
- Issue
- 3
- Pages
- 279-297
- ISSN
- 1351-0754 (ISSN-L)
- 1365-2389
- OpenAlex
- W1531311865
- Cited by
- 225
- References
- 140
- Citations by year
- 2026: 12 · 2025: 19 · 2024: 15 · 2023: 16 · 2022: 21 · 2021: 22 · 2020: 18 · 2019: 23 · 2018: 21 · 2017: 22 · 2016: 16 · 2015: 9 · 2014: 6 · 2013: 4
- FWCI
- 25.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Soil Science (publishedVersion)
- Rothamsted Repository (Rothamsted Repository) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Soil and Unsaturated Flow
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Management and Crop Yield
- Physical Sciences › Engineering › Ocean Engineering › Enhanced Oil Recovery Techniques
- Keywords
- computed tomography, soil pore network, soil structure, soil porosity, soil hydraulic properties, soil organic matter, soil organisms
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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.
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