New Approach to Measure Soil Particulate Organic Matter in Intact Samples Using X‐ray Computed Microtomography

• Published in: Soil Science Society of America journal Vol. 78; no. 4; pp. 1177 - 1185
• Main Authors: Kravchenko, A. N., Negassa, W., Guber, A. K., Schmidt, S.
• Format: Journal Article
• Language: English
• Published: Madison The Soil Science Society of America, Inc 01.07.2014; American Society of Agronomy
• Subjects: Acetal resins; Aggregates; Decomposition; Discriminant analysis; Geochemistry; Particulate organic matter; Samples; Soil (material); Soil aggregates; Soil conservation; Soil organic matter; Soil sciences; Soil structure; Soils; Statistical analysis; Statistical methods; Tillage; Tomography; X-rays
• ISSN: 0361-5995; 1435-0661
• DOI: 10.2136/sssaj2014.01.0039

Particulate soil organic matter (POM) is the biologically and chemically active fraction of soil organic matter that plays an important role in soil C processes. Measuring POM in soil samples with intact structure is crucial for a better understanding the role of the soil structure in providing physical protection to soil C. However, so far a lack of tools for POM identification has hindered progress. The objective of this study was to develop a procedure for identification and quantitative characterization of POM within intact soil samples using X‐ray computed microtomography (μ‐CT) images and to test performance of the proposed procedure. We used 16 4‐ to 6‐mm soil aggregates collected at the 0‐ to 15‐cm depth from a Typic Hapludalf soil and scanned at 6.3‐μm resolution. The developed procedure combined image preprocessing steps with discriminant analysis classification. Image preprocessing was used for preliminary POM identification based on the range of gray‐scale values (GVs), shape, and size of POM pieces. Final POM identification was achieved with discriminant analysis conducted using statistical and geostatistical characteristics. The POM identified in the intact individual aggregates using the proposed procedure was in a good agreement with POM measured using a conventional laboratory method (R2 = 0.73). Of particular importance for accurate identification of POM in the images was the information on spatial characteristics of POM's GVs. To illustrate new possibilities that the use of X‐ray μ‐CT opens in analyzing POM within intact soil samples, we also explored and reported GVs and size–volume distributions of POM particles in the studied aggregates.