The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Soil structure as an indicator of soil functions: A review
Open accessAbstract
Since many processes in soil are highly sensitive to soil structure, this review intends to evaluate the potential of observable soil structural attributes to be used in the assessment of soil functions. We focus on the biomass production, storage and filtering of water, storage and recycling of nutrients, carbon storage, habitat for biological activity, and physical stability and support. A selection of frequently used soil structural properties are analyzed and discussed from a methodological point of view and with respect to their relevance to soil functions. These are properties extracted from soil profile description, visual soil assessment, aggregate size and stability analysis, bulk density, mercury porosimetry, water retention curve, gas adsorption, and imaging techniques. We highlight the greater relevance of the pore network characterization as compared to the aggregate perspective. We identify porosity, macroporosity, pore distances, and pore connectivity derived from imaging techniques as being the most relevant indicators for several soil functions. Since imaging techniques are not widely accessible, we suggest using this technique to build up an open access “soil structure library” for a large range of soil types, which could form the basis to relate more easily available measures to pore structural attributes in a site-specific way (i.e., taking into account texture, soil organic matter content, etc.).
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Cites
Adsorption of Gases in Multimolecular Layers
Brunauer, S., Emmett, P. H., & Teller, E. (1938) · Journal of the American Chemical Society · doi:10.1021/ja01269a023 · Cited by 28,156
A Closed‐form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils
van Genuchten, M. T. (1980) · Soil Science Society of America Journal · doi:10.2136/sssaj1980.03615995004400050002x · Cited by 27,578
A new model for predicting the hydraulic conductivity of unsaturated porous media
Mualem, Y. (1976) · Water Resources Research · doi:10.1029/wr012i003p00513 · Cited by 8,300
Organic matter and water-stable aggregates in soils
TISDALL, J. M., & OADES, J. M. (1982) · Journal of Soil Science · doi:10.1111/j.1365-2389.1982.tb01755.x · Cited by 6,267
Stabilization mechanisms of soil organic matter: Implications for C-saturation of soils
Six, J., Conant, R. T., Paul, E. A., & Paustian, K. (2002) · Plant and Soil · doi:10.1023/a:1016125726789 · Cited by 4,633
Six, J., Bossuyt, H., Degryze, S., & Denef, K. (2004) · Soil and Tillage Research · doi:10.1016/j.still.2004.03.008 · Cited by 4,410
Helliwell, J. R., Sturrock, C. J., Grayling, K. M., Tracy, S. R., Flavel, R. J., Young, I. M., Whalley, W. R., & Mooney, S. J. (2013) · European Journal of Soil Science · doi:10.1111/ejss.12028 · Cited by 225
Improvements in the visual evaluation of soil structure
Guimarães, R. M. L., Ball, B. C., & Tormena, C. A. (2011) · Soil Use and Management · doi:10.1111/j.1475-2743.2011.00354.x · Cited by 225
Cited by
Soil structure is an important omission in Earth System Models
Fatichi, S., Or, D., Walko, R., Vereecken, H., Young, M. H., Ghezzehei, T. A., Hengl, T., Kollet, S., Agam, N., & Avissar, R. (2020) · Nature Communications · doi:10.1038/s41467-020-14411-z · Cited by 269
Physical Properties of Soils Affected by the Use of Agricultural Waste
Almendro-Candel, M. B., Lucas, I. G., Navarro-Pedreño, J., & Zorpas, A. A. (2018) · Agricultural Waste and Residues · doi:10.5772/intechopen.77993 · Cited by 56
Metadata
- Authors
- Rabot, E., Wiesmeier, M., Schlüter, S., & Vogel, H.-J.
- Venue
- Geoderma
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 314
- Pages
- 122-137
- ISSN
- 0016-7061 (ISSN-L)
- OpenAlex
- W2769443069
- Cited by
- 1,348
- References
- 8
- FWCI
- 64.22
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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