Aufsatz
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.
Sponsorship
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}
}
0500 Oax
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3000 Weber, Tobias Karl David
3010 Weihermüller, Lutz
3010 Nemes, Attila
3010 Bechtold, Michel
3010 Degré, Aurore
3010 Diamantopoulos, Efstathios
3010 Fatichi, Simone
3010 Filipović, Vilim
3010 Gupta, Surya
3010 Hohenbrink, Tobias L.
3010 Hirmas, Daniel R.
3010 Jackisch, Conrad
3010 de Jong van Lier, Quirijn
3010 Köstel, John
3010 Lehmann, Peter
3010 Marthews, Toby Richard
3010 Minasny, Budiman
3010 Pagel, Holger
3010 van der Ploeg, Martine
3010 Shojaeezadeh, Shahab Aldin
3010 Svane, Simon Fiil
3010 Szabó, Brigitta
3010 Vereecken, Harry
3010 Verhoef, Anne
3010 Young, Michael
3010 Zeng, Yijian
3010 Zhang, Yonggen
3010 Bonetti, Sara
4000 Hydro-pedotransfer functions: a roadmap for future development / Weber, Tobias Karl David
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5550 {{Physikochemische Bodeneigenschaft}}
5550 {{Bodenanalyse}}
5550 {{Daten}}
5550 {{Modell}}
7136 ##0##http://hdl.handle.net/123456789/16009
<resource xsi:schemaLocation="http://datacite.org/schema/kernel-2.2 http://schema.datacite.org/meta/kernel-2.2/metadata.xsd"> 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 </resource>
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