Articles | Volume 15, issue 12
https://doi.org/10.5194/hess-15-3895-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-15-3895-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Dec 2011
Research article |
| 22 Dec 2011
Potential and limitations of using soil mapping information to understand landscape hydrology
F. Terribile
Department of Soil, Plant, Environment and Animal Production Sciences, University of Napoli Federico II, Portici, Napoli, Italy
A. Coppola
Department for Agricultural and Forestry Systems Management, Hydraulic Division, University of Basilicata, Potenza, Italy
G. Langella
Department of Soil, Plant, Environment and Animal Production Sciences, University of Napoli Federico II, Portici, Napoli, Italy
Institute for Mediterranean Agricultural and Forestry Systems, National Research Council, Ercolano, Napoli, Italy
M. Martina
Department of Earth and Geo-Environmental Sciences, University of Bologna, Bologna, Italy
A. Basile
Institute for Mediterranean Agricultural and Forestry Systems, National Research Council, Ercolano, Napoli, Italy
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Cited
23 citations as recorded by crossref.
- Forests as ‘sponges’ and ‘pumps’: Assessing the impact of deforestation on dry-season flows across the tropics J. Peña-Arancibia et al. 10.1016/j.jhydrol.2019.04.064
- Embracing the dynamic nature of soil structure: A paradigm illuminating the role of life in critical zones of the Anthropocene P. Sullivan et al. 10.1016/j.earscirev.2021.103873
- A Web-based spatial decision supporting system for land management and soil conservation F. Terribile et al. 10.5194/se-6-903-2015
- Agronomic Biofortification of Zinc in Rice for Diminishing Malnutrition in South Asia P. Peramaiyan et al. 10.3390/su14137747
- Digital soil mapping workflow for forest resource applications: a case study in the Hearst Forest, Ontario C. Blackford et al. 10.1139/cjfr-2020-0066
- A new transfer function model for the estimation of non-point-source solute travel times M. Bancheri et al. 10.1016/j.jhydrol.2021.126157
- Predicting and mapping soil available water capacity in Korea S. Hong et al. 10.7717/peerj.71
- Mapping of soil organic carbon using machine learning models: Combination of optical and radar remote sensing data Y. Zhou et al. 10.1002/saj2.20371
- Validating a spatially distributed hydrological model with soil morphology data T. Doppler et al. 10.5194/hess-18-3481-2014
- Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. 10.5194/hess-28-3391-2024
- The use of trophic status indicator as a tool to assess the potential of birch-afforested soils to provide ecosystem services B. Kruczkowska et al. 10.1016/j.agee.2023.108434
- Forensic hydrology: what function tells about structure in complex settings G. Lischeid et al. 10.1007/s12665-016-6351-5
- The role of soil series in quantitative land evaluation when expressing effects of climate change and crop breeding on future land use A. Bonfante & J. Bouma 10.1016/j.geoderma.2015.06.010
- Mapping Topsoil Behavior to Compaction at National Scale from an Analysis of Field Observations A. Richer-de-Forges et al. 10.3390/land13071014
- Mapping soil organic carbon content using multi-source remote sensing variables in the Heihe River Basin in China T. Zhou et al. 10.1016/j.ecolind.2020.106288
- How does PTF Interpret Soil Heterogeneity? A Stochastic Approach Applied to a Case Study on Maize in Northern Italy A. Basile et al. 10.3390/w11020275
- A Three‐Dimensional Structure and Process Model for Integrated Hydro‐Geo‐Pedologic Analysis of a Constructed Hydrological Catchment H. Gerke et al. 10.2136/vzj2013.02.0040
- Mapping total soil nitrogen from a site in northeastern China S. Wang et al. 10.1016/j.catena.2018.03.023
- Analyzing the role of soil and vegetation spatial variability in modelling hydrological processes for irrigation optimization at large scale S. Hassan et al. 10.1007/s00271-023-00882-7
- Machine Learning With GA Optimization to Model the Agricultural Soil-Landscape of Germany: An Approach Involving Soil Functional Types With Their Multivariate Parameter Distributions Along the Depth Profile M. Ließ et al. 10.3389/fenvs.2021.692959
- Effect of cultivation history on soil organic carbon status of arable land in northeastern China Y. Wang et al. 10.1016/j.geoderma.2019.02.007
- Soil science input in transdisciplinary projects in the Netherlands and Italy J. Bouma et al. 10.1016/j.geodrs.2015.04.002
- A web‐based operational tool for the identification of best practices in European agricultural systems M. Bancheri et al. 10.1002/ldr.5114
23 citations as recorded by crossref.
- Forests as ‘sponges’ and ‘pumps’: Assessing the impact of deforestation on dry-season flows across the tropics J. Peña-Arancibia et al. 10.1016/j.jhydrol.2019.04.064
- Embracing the dynamic nature of soil structure: A paradigm illuminating the role of life in critical zones of the Anthropocene P. Sullivan et al. 10.1016/j.earscirev.2021.103873
- A Web-based spatial decision supporting system for land management and soil conservation F. Terribile et al. 10.5194/se-6-903-2015
- Agronomic Biofortification of Zinc in Rice for Diminishing Malnutrition in South Asia P. Peramaiyan et al. 10.3390/su14137747
- Digital soil mapping workflow for forest resource applications: a case study in the Hearst Forest, Ontario C. Blackford et al. 10.1139/cjfr-2020-0066
- A new transfer function model for the estimation of non-point-source solute travel times M. Bancheri et al. 10.1016/j.jhydrol.2021.126157
- Predicting and mapping soil available water capacity in Korea S. Hong et al. 10.7717/peerj.71
- Mapping of soil organic carbon using machine learning models: Combination of optical and radar remote sensing data Y. Zhou et al. 10.1002/saj2.20371
- Validating a spatially distributed hydrological model with soil morphology data T. Doppler et al. 10.5194/hess-18-3481-2014
- Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. 10.5194/hess-28-3391-2024
- The use of trophic status indicator as a tool to assess the potential of birch-afforested soils to provide ecosystem services B. Kruczkowska et al. 10.1016/j.agee.2023.108434
- Forensic hydrology: what function tells about structure in complex settings G. Lischeid et al. 10.1007/s12665-016-6351-5
- The role of soil series in quantitative land evaluation when expressing effects of climate change and crop breeding on future land use A. Bonfante & J. Bouma 10.1016/j.geoderma.2015.06.010
- Mapping Topsoil Behavior to Compaction at National Scale from an Analysis of Field Observations A. Richer-de-Forges et al. 10.3390/land13071014
- Mapping soil organic carbon content using multi-source remote sensing variables in the Heihe River Basin in China T. Zhou et al. 10.1016/j.ecolind.2020.106288
- How does PTF Interpret Soil Heterogeneity? A Stochastic Approach Applied to a Case Study on Maize in Northern Italy A. Basile et al. 10.3390/w11020275
- A Three‐Dimensional Structure and Process Model for Integrated Hydro‐Geo‐Pedologic Analysis of a Constructed Hydrological Catchment H. Gerke et al. 10.2136/vzj2013.02.0040
- Mapping total soil nitrogen from a site in northeastern China S. Wang et al. 10.1016/j.catena.2018.03.023
- Analyzing the role of soil and vegetation spatial variability in modelling hydrological processes for irrigation optimization at large scale S. Hassan et al. 10.1007/s00271-023-00882-7
- Machine Learning With GA Optimization to Model the Agricultural Soil-Landscape of Germany: An Approach Involving Soil Functional Types With Their Multivariate Parameter Distributions Along the Depth Profile M. Ließ et al. 10.3389/fenvs.2021.692959
- Effect of cultivation history on soil organic carbon status of arable land in northeastern China Y. Wang et al. 10.1016/j.geoderma.2019.02.007
- Soil science input in transdisciplinary projects in the Netherlands and Italy J. Bouma et al. 10.1016/j.geodrs.2015.04.002
- A web‐based operational tool for the identification of best practices in European agricultural systems M. Bancheri et al. 10.1002/ldr.5114
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