Articles | Volume 2, issue 4
https://doi.org/10.5194/soil-2-647-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/soil-2-647-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Sensitivity analysis of point and parametric pedotransfer functions for estimating water retention of soils in Algeria
Sami Touil
CORRESPONDING AUTHOR
Superior National School of Agronomy, El Harrach, Algiers, Algeria
Gembloux Agro-Bio Tech, Biosystem Engineering, Soil–Water–Plant Exchanges, University of Liege, Passage des Déportés, Gembloux, Belgium
Laboratory of Crop Production and Sustainable Valorization of Natural Resources, University of Djilali Bounaama Khemis Miliana, Ain Defla, Algeria
Aurore Degre
Gembloux Agro-Bio Tech, Biosystem Engineering, Soil–Water–Plant Exchanges, University of Liege, Passage des Déportés, Gembloux, Belgium
Mohamed Nacer Chabaca
Superior National School of Agronomy, El Harrach, Algiers, Algeria
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Benjamin Guillaume, Adrien Michez, and Aurore Degré
Hydrol. Earth Syst. Sci., 29, 4661–4688, https://doi.org/10.5194/hess-29-4661-2025, https://doi.org/10.5194/hess-29-4661-2025, 2025
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Nature-based solutions (NbSs) can mitigate floods and agricultural droughts by enhancing soil health and restoring hydrological cycles. This study highlights that leveraging soil diversity is key to optimizing NbS performance.
Tobias Karl David Weber, Lutz Weihermüller, Attila Nemes, Michel Bechtold, Aurore Degré, Efstathios Diamantopoulos, Simone Fatichi, Vilim Filipović, Surya Gupta, Tobias L. Hohenbrink, Daniel R. Hirmas, Conrad Jackisch, Quirijn de Jong van Lier, John Koestel, Peter Lehmann, Toby R. Marthews, Budiman Minasny, Holger Pagel, Martine van der Ploeg, Shahab Aldin Shojaeezadeh, Simon Fiil Svane, Brigitta Szabó, Harry Vereecken, Anne Verhoef, Michael Young, Yijian Zeng, Yonggen Zhang, and Sara Bonetti
Hydrol. Earth Syst. Sci., 28, 3391–3433, https://doi.org/10.5194/hess-28-3391-2024, https://doi.org/10.5194/hess-28-3391-2024, 2024
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Pedotransfer functions (PTFs) are used to predict parameters of models describing the hydraulic properties of soils. The appropriateness of these predictions critically relies on the nature of the datasets for training the PTFs and the physical comprehensiveness of the models. This roadmap paper is addressed to PTF developers and users and critically reflects the utility and future of PTFs. To this end, we present a manifesto aiming at a paradigm shift in PTF research.
Benjamin Guillaume, Hanane Aroui Boukbida, Gerben Bakker, Andrzej Bieganowski, Yves Brostaux, Wim Cornelis, Wolfgang Durner, Christian Hartmann, Bo V. Iversen, Mathieu Javaux, Joachim Ingwersen, Krzysztof Lamorski, Axel Lamparter, András Makó, Ana María Mingot Soriano, Ingmar Messing, Attila Nemes, Alexandre Pomes-Bordedebat, Martine van der Ploeg, Tobias Karl David Weber, Lutz Weihermüller, Joost Wellens, and Aurore Degré
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Measurements of soil water retention properties play an important role in a variety of societal issues that depend on soil water conditions. However, there is little concern about the consistency of these measurements between laboratories. We conducted an interlaboratory comparison to assess the reproducibility of the measurement of the soil water retention curve. Results highlight the need to harmonize and standardize procedures to improve the description of unsaturated processes in soils.
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