The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Influence of soil, land use and climatic factors on the hydraulic conductivity of soil
Open accessAbstract
Abstract. Due to inadequate data support, existing algorithms used to estimate soil hydraulic conductivity, K, in (eco)hydrological models ignore the effects of key site factors such as land use and climate and underplay the significant effects of soil structure on water flow at and near saturation. These limitations may introduce serious bias and error into predictions of terrestrial water balances and soil moisture status, and thus plant growth and rates of biogeochemical processes. To resolve these issues, we collated a new global database of hydraulic conductivity measured by tension infiltrometer under field conditions. The results of our analyses on this data set contrast markedly with those of existing algorithms used to estimate K. For example, saturated hydraulic conductivity, Ks, in the topsoil (< 0.3 m depth) was found to be only weakly related to texture. Instead, the data suggests that Ks depends more strongly on bulk density, organic carbon content and land use. In this respect, organic carbon was negatively correlated with Ks, presumably due to water repellency, while Ks at arable sites was, on average, ca. 2–3 times smaller than under natural vegetation, forests and perennial agriculture. The data also clearly demonstrates that clay soils have smaller K in the soil matrix and thus a larger contribution of soil macropores to K at and near saturation.
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Cites
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
Schaap, M. G., Leij, F. J., & van Genuchten, M. T. (2001) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00466-8 · Cited by 2,640
Hydraulic Conductivity and Diffusivity: Laboratory Methods
Klute, A., & Dirksen, C. (1986) · SSSA Book Series · doi:10.2136/sssabookser5.1.2ed.c28 · Cited by 1,846
Jarvis, N. J. (2007) · European Journal of Soil Science · doi:10.1111/j.1365-2389.2007.00915.x · Cited by 1,293
Self-citationDevelopment and use of a database of hydraulic properties of European soils
Wösten, J. H. M., Lilly, A., Nemes, A., & Le Bas, C. (1999) · Geoderma · doi:10.1016/s0016-7061(98)00132-3 · Cited by 1,183
Wösten, J. H. M., Pachepsky, Y. A., & Rawls, W. J. (2001) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00464-4 · Cited by 985
Using Soil Survey Data for Quantitative Land Evaluation
Bouma, J. (1989) · Advances in Soil Science · doi:10.1007/978-1-4612-3532-3_4 · Cited by 822
Vereecken, H., Weynants, M., Javaux, M., Pachepsky, Y., Schaap, M. G., & van Genuchten, M. T. (2010) · Vadose Zone Journal · doi:10.2136/vzj2010.0045 · Cited by 516
Estimating Macroporosity in a Forest Watershed by use of a Tension Infiltrometer
Watson, K. W., & Luxmoore, R. J. (1986) · Soil Science Society of America Journal · doi:10.2136/sssaj1986.03615995005000030007x · Cited by 498
Simple Field Method for Determining Unsaturated Hydraulic Conductivity
Ankeny, M. D., Ahmed, M., Kaspar, T. C., & Horton, R. (1991) · Soil Science Society of America Journal · doi:10.2136/sssaj1991.03615995005500020028x · Cited by 492
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
Long-term effects of grass-clover leys on the structure of a silt loam soil in a cold climate
Jarvis, N., Forkman, J., Koestel, J., Kätterer, T., Larsbo, M., & Taylor, A. (2017) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2017.06.042 · Cited by 69
Self-citationMcGuire, M. P., Grimley, D. A., Phillips, A. C., Stillwell, A. S., William, R., Shen, J., & Schneemann, M. (2021) · Environmental Research: Infrastructure and Sustainability · doi:10.1088/2634-4505/ac27bd · Cited by 6
Metadata
- Authors
- Jarvis, N., Koestel, J., Messing, I., Moeys, J., & Lindahl, A.
- Venue
- Hydrology and Earth System Sciences
- Publisher
- Copernicus GmbH
- Published
- 2013-12-20
- Volume
- 17
- Issue
- 12
- Pages
- 5185-5195
- ISSN
- 1027-5606 (ISSN-L)
- 1607-7938
- OpenAlex
- W2138694135
- Cited by
- 285
- References
- 33
- FWCI
- 18.86
- Type
- journal article
- Language
- en
- Open access
- gold
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- Jarvis, N., Koestel, J., Messing, I., Moeys, J., & Lindahl, A. (2013). Influence of soil, land use and climatic factors on the hydraulic conductivity of soil. Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-17-5185-2013
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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).
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