Articles | Volume 10, issue 2
https://doi.org/10.5194/soil-10-587-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-10-587-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| 
09 Sep 2024
Original research article |
| 09 Sep 2024
| 09 Sep 2024
Addressing soil data needs and data gaps in catchment-scale environmental modelling: the European perspective
Brigitta Szabó
CORRESPONDING AUTHOR
Institute for Soil Sciences, HUN-REN Centre for Agricultural Research, Budapest, 1022, Hungary
National Laboratory for Water Science and Water Security, Budapest, 1022, Hungary
Piroska Kassai
CORRESPONDING AUTHOR
Institute for Soil Sciences, HUN-REN Centre for Agricultural Research, Budapest, 1022, Hungary
National Laboratory for Water Science and Water Security, Budapest, 1022, Hungary
Svajunas Plunge
Department of Hydrology, Meteorology, and Water Management, Institute of Environmental Engineering, Warsaw University of Life Sciences, Warsaw, 0-653, Poland
Attila Nemes
Department of Hydrology and Water Environment, Division of Environment and Natural Resources, Norwegian Institute of Bioeconomy Research, Ås, 1431, Norway
Péter Braun
Institute for Soil Sciences, HUN-REN Centre for Agricultural Research, Budapest, 1022, Hungary
National Laboratory for Water Science and Water Security, Budapest, 1022, Hungary
Marine Research Institute, Klaipeda University, Klaipeda, 92294, Lithuania
Michael Strauch
Helmholtz Centre for Environmental Research GmbH – UFZ, Department of Computational Landscape Ecology, 04318 Leipzig, Germany
Felix Witing
Helmholtz Centre for Environmental Research GmbH – UFZ, Department of Computational Landscape Ecology, 04318 Leipzig, Germany
János Mészáros
Institute for Soil Sciences, HUN-REN Centre for Agricultural Research, Budapest, 1022, Hungary
National Laboratory for Water Science and Water Security, Budapest, 1022, Hungary
Natalja Čerkasova
Marine Research Institute, Klaipeda University, Klaipeda, 92294, Lithuania
Texas A&M AgriLife, Blackland Research and Extension Center, Temple, TX 76502, USA
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Short summary
This research introduces methods and tools for obtaining soil input data in European case studies for environmental models like SWAT+. With various available soil datasets and prediction methods, determining the most suitable is challenging. The study aims to (i) catalogue open-access datasets and prediction methods for Europe, (ii) demonstrate and quantify differences between prediction approaches, and (iii) offer a comprehensive workflow with open-source R codes for deriving missing soil data.
This research introduces methods and tools for obtaining soil input data in European case...
