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Soil-landscape modelling and spatial prediction of soil attributes
Open accessAbstract
Explicit and quantitative models for the spatial prediction of soil and landscape attributes are required for environmental modelling and management. In this study, advances in the spatial representation of hydrological and geomorphological processes using terrain analysis techniques are integrated with the development of a field sampling and soil-landscape model building strategy. Statistical models are developed using relationships between terrain attributes (plan curvature, compound topographic index, upslope mean plan curvature) and soil attributes (A horizon depth, Solum depth, E horizon presence/absence) in an area with uniform geology and geomorphic history. These techniques seem to provide appropriate methodologies for spatial prediction and understanding soil landscape processes.
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Cited by
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Modeling Soil–Landscape and Ecosystem Properties Using Terrain Attributes
Gessler, P. E., Chadwick, O. A., Chamran, F., Althouse, L., & Holmes, K. (2000) · Soil Science Society of America Journal · doi:10.2136/sssaj2000.6462046x · Cited by 448
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Soliveres, S., Manning, P., Prati, D., Gossner, M. M., Alt, F., Arndt, H., Baumgartner, V., Binkenstein, J., Birkhofer, K., Blaser, S., et al. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0269 · Cited by 168
Land-surface parameters for spatial predictive mapping and modeling
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Metadata
- Authors
- GESSLER, P. E., MOORE, I. D., McKENZIE, N. J., & RYAN, P. J.
- Venue
- International journal of geographical information systems
- Publisher
- Informa UK Limited
- Published
- 1995-07
- Volume
- 9
- Issue
- 4
- Pages
- 421-432
- ISSN
- 0269-3798 (ISSN-L)
- OpenAlex
- W2084113824
- Cited by
- 656
- References
- 0
- FWCI
- 6.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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- GESSLER, P. E., MOORE, I. D., McKENZIE, N. J., & RYAN, P. J. (1995). Soil-landscape modelling and spatial prediction of soil attributes. International journal of geographical information systems. https://doi.org/10.1080/02693799508902047
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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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
