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2024-07-29Author
Weber, Tobias Karl DavidWeihermüller, LutzNemes, AttilaBechtold, MichelDegré, AuroreDiamantopoulos, EfstathiosFatichi, SimoneFilipović, VilimGupta, SuryaHohenbrink, Tobias L.Hirmas, Daniel R.Jackisch, Conradde Jong van Lier, QuirijnKöstel, JohnLehmann, PeterMarthews, Toby RichardMinasny, BudimanPagel, Holgervan der Ploeg, MartineShojaeezadeh, Shahab AldinSvane, Simon FiilSzabó, BrigittaVereecken, HarryVerhoef, AnneYoung, MichaelZeng, YijianZhang, YonggenBonetti, SaraSubject
333 Economics of land and energy 500 Science 630 Agriculture Physikochemische BodeneigenschaftBodenanalyseDatenModellMetadata
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Tobias Karl David Weber was funded by the Collaborative Research Center 1253 CAMPOS (Project 7: Stochastic Modelling Framework) under DFG grant agreement no. SFB 1253/1 2017. The contribution of Brigitta Szabó was supported by the European Union's Horizon 2020 research and innovation programme under grant agreement no. 862756, project OPTAIN. Yonggen Zhang was supported by the National Natural Science Foundation of China (grant no. 42077168). Michel Bechtold was supported by the Research Foundation – Flanders (FWO, G095720N). Vilim Filipović was supported by the Croatian Science Foundation (grant no. UIP-2019-04-5409).
Hydro-pedotransfer functions: a roadmap for future development
Abstract
Hydro-pedotransfer functions (PTFs) relate easy-to-measure and readily available soil information to soil hydraulic properties (SHPs) for applications in a wide range of process-based and empirical models, thereby enabling the assessment of soil hydraulic effects on hydrological, biogeochemical, and ecological processes. At least more than 4 decades of research have been invested to derive such relationships. However, while models, methods, data storage capacity, and computational efficiency have advanced, there are fundamental concerns related to the scope and adequacy of current PTFs, particularly when applied to parameterise models used at the field scale and beyond. Most of the PTF development process has focused on refining and advancing the regression methods, while fundamental aspects have remained largely unconsidered. Most soil systems are not represented in PTFs, which have been built mostly for agricultural soils in temperate climates. Thus, existing PTFs largely ignore how parent material, vegetation, land use, and climate affect processes that shape SHPs. The PTFs used to parameterise the Richards–Richardson equation are mostly limited to predicting parameters of the van Genuchten–Mualem soil hydraulic functions, despite sufficient evidence demonstrating their shortcomings. Another fundamental issue relates to the diverging scales of derivation and application, whereby PTFs are derived based on laboratory measurements while often being applied at the field to regional scales. Scaling, modulation, and constraining strategies exist to alleviate some of these shortcomings in the mismatch between scales. These aspects are addressed here in a joint effort by the members of the International Soil Modelling Consortium (ISMC) Pedotransfer Functions Working Group with the aim of systematising PTF research and providing a roadmap guiding both PTF development and use. We close with a 10-point catalogue for funders and researchers to guide review processes and research.
Citation
In: Hydrology and Earth System Sciences Volume 28 / Issue 14 (2024-07-29) , S. 3391-3433 ; eissn:1607-7938Sponsorship
Gefördert durch den Publikationsfonds der Universität KasselTobias Karl David Weber was funded by the Collaborative Research Center 1253 CAMPOS (Project 7: Stochastic Modelling Framework) under DFG grant agreement no. SFB 1253/1 2017. The contribution of Brigitta Szabó was supported by the European Union's Horizon 2020 research and innovation programme under grant agreement no. 862756, project OPTAIN. Yonggen Zhang was supported by the National Natural Science Foundation of China (grant no. 42077168). Michel Bechtold was supported by the Research Foundation – Flanders (FWO, G095720N). Vilim Filipović was supported by the Croatian Science Foundation (grant no. UIP-2019-04-5409).
Citation
@article{doi:10.17170/kobra-2024082210696,
author={Weber, Tobias Karl David and Weihermüller, Lutz and Nemes, Attila and Bechtold, Michel and Degré, Aurore and Diamantopoulos, Efstathios and Fatichi, Simone and Filipović, Vilim and Gupta, Surya and Hohenbrink, Tobias L. and Hirmas, Daniel R. and Jackisch, Conrad and de Jong van Lier, Quirijn and Köstel, John and Lehmann, Peter and Marthews, Toby Richard and Minasny, Budiman and Pagel, Holger and van der Ploeg, Martine and Shojaeezadeh, Shahab Aldin and Svane, Simon Fiil and Szabó, Brigitta and Vereecken, Harry and Verhoef, Anne and Young, Michael and Zeng, Yijian and Zhang, Yonggen and Bonetti, Sara},
title={Hydro-pedotransfer functions: a roadmap for future development},
journal={Hydrology and Earth System Sciences},
year={2024}
}
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2024-09-02T09:08:06Z 2024-09-02T09:08:06Z 2024-07-29 doi:10.17170/kobra-2024082210696 http://hdl.handle.net/123456789/16009 Gefördert durch den Publikationsfonds der Universität Kassel Tobias Karl David Weber was funded by the Collaborative Research Center 1253 CAMPOS (Project 7: Stochastic Modelling Framework) under DFG grant agreement no. SFB 1253/1 2017. The contribution of Brigitta Szabó was supported by the European Union's Horizon 2020 research and innovation programme under grant agreement no. 862756, project OPTAIN. Yonggen Zhang was supported by the National Natural Science Foundation of China (grant no. 42077168). Michel Bechtold was supported by the Research Foundation – Flanders (FWO, G095720N). Vilim Filipović was supported by the Croatian Science Foundation (grant no. UIP-2019-04-5409). eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ 333 500 630 Hydro-pedotransfer functions: a roadmap for future development Aufsatz Hydro-pedotransfer functions (PTFs) relate easy-to-measure and readily available soil information to soil hydraulic properties (SHPs) for applications in a wide range of process-based and empirical models, thereby enabling the assessment of soil hydraulic effects on hydrological, biogeochemical, and ecological processes. At least more than 4 decades of research have been invested to derive such relationships. However, while models, methods, data storage capacity, and computational efficiency have advanced, there are fundamental concerns related to the scope and adequacy of current PTFs, particularly when applied to parameterise models used at the field scale and beyond. Most of the PTF development process has focused on refining and advancing the regression methods, while fundamental aspects have remained largely unconsidered. Most soil systems are not represented in PTFs, which have been built mostly for agricultural soils in temperate climates. Thus, existing PTFs largely ignore how parent material, vegetation, land use, and climate affect processes that shape SHPs. The PTFs used to parameterise the Richards–Richardson equation are mostly limited to predicting parameters of the van Genuchten–Mualem soil hydraulic functions, despite sufficient evidence demonstrating their shortcomings. Another fundamental issue relates to the diverging scales of derivation and application, whereby PTFs are derived based on laboratory measurements while often being applied at the field to regional scales. Scaling, modulation, and constraining strategies exist to alleviate some of these shortcomings in the mismatch between scales. These aspects are addressed here in a joint effort by the members of the International Soil Modelling Consortium (ISMC) Pedotransfer Functions Working Group with the aim of systematising PTF research and providing a roadmap guiding both PTF development and use. We close with a 10-point catalogue for funders and researchers to guide review processes and research. open access Weber, Tobias Karl David Weihermüller, Lutz Nemes, Attila Bechtold, Michel Degré, Aurore Diamantopoulos, Efstathios Fatichi, Simone Filipović, Vilim Gupta, Surya Hohenbrink, Tobias L. Hirmas, Daniel R. Jackisch, Conrad de Jong van Lier, Quirijn Köstel, John Lehmann, Peter Marthews, Toby Richard Minasny, Budiman Pagel, Holger van der Ploeg, Martine Shojaeezadeh, Shahab Aldin Svane, Simon Fiil Szabó, Brigitta Vereecken, Harry Verhoef, Anne Young, Michael Zeng, Yijian Zhang, Yonggen Bonetti, Sara doi:10.5194/hess-28-3391-2024 DFG grant agreement no. SFB 1253/1 2017, grant agreement no. 862756, grant no. 42077168, FWO, G095720N, grant no. UIP-2019-04-5409 Physikochemische Bodeneigenschaft Bodenanalyse Daten Modell publishedVersion eissn:1607-7938 Issue 14 Hydrology and Earth System Sciences 3391-3433 Volume 28 false
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