| Title: | Upscaling models for the large-scale assessment of soil functions |
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| Authors: | ID Wadoux, Alexandre M.J.-C. (Author)
ID Creamer, Rachel (Author)
ID Lagacherie, Philippe (Author)
ID Debeljak, Marko, Institut "Jožef Stefan" (Author) |
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| Files: |  URL - Source URL, visit https://bsssjournals.onlinelibrary.wiley.com/doi/10.1111/ejss.70253
 PDF - Presentation file, download (1,45 MB)
MD5: 96CD9833F997AE569C583B42DFCF5271
Description: The data that support the findings of this study are available in Landmark H2020 dataset at https://entrepot.recherche.data.gouv.fr/dataverse/LandmarkH2020, reference number H2020-SFS-2014-2: 635201. These data were derived from the following resources available in the public domain: Landmark H2020 dataset, https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.15454/MUTD4K.
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  IJS - Jožef Stefan Institute
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| Abstract: | The characterization and assessment of soil functions is a prerequisite for agricultural and environmental policies aimed at soil health. However, there is a lack of satisfactory models for the assessment of soil functions supply to support national and intergovernmental initiatives. In this study we fill this gap by restructuring models developed to assess the multifunctionality of agricultural soils at the field scale. The multi-criteria decision models rely on soil properties, site characteristics and management information to assess the following five soil functions: (1) water regulation, (2) climate regulation, (3) nutrient cycling, (4) primary productivity and (5) provision of habitat for biodiversity. We develop models to assess soil functions supply at regional and national scales by adapting their structure to cope with the general lack of information on soil management at larger geographical scales. The restructured models are verified and a sensitivity analysis of the new model structure is performed. We further applied a comparison of the upscaled models with results from validated field-scale models using real data from 94 sites spanning across 13 European countries. We found that the upscaled models showed a similar sensitivity to the variability of the input data from the 94 sampling sites as the base models from which they were developed and that their overall supply is expected to be comparable. We describe the model structure of the upscaled models as well as their qualitative scales and integration rules. We propose the application of the models can serve for large-scale assessment of soil functions supply as part of soil health assessment for regional and national environmental and agricultural policies. |
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| Keywords: | multifunctionality, soil health, soil quality, ecosystem services, multi-attribute modelling |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 17.01.2025 |
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| Article acceptance date: | 24.11.2025 |
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| Publication date: | 04.01.2026 |
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| Publisher: | Wiley |
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| Year of publishing: | 2026 |
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| Number of pages: | str. 1-18 |
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| Numbering: | Vol. 77, iss. 1, [article no.] e70253 |
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| Source: | Združeno kraljestvo |
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| PID: | 20.500.12556/DiRROS-25017  |
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| UDC: | 631 |
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| ISSN on article: | 1365-2389 |
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| DOI: | 10.1111/ejss.70253 |
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| COBISS.SI-ID: | 263777283 |
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| Copyright: | © 2026 The Author(s). |
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| Note: | Soavtor iz Sovenije: Marko Debeljak;
Opis vira z dne 7. 1. 2026;
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| Publication date in DiRROS: | 07.01.2026 |
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| Views: | 115 |
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| Downloads: | 59 |
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