ORIGINAL RESEARCH
Span. J. Soil Sci.
Converting the genetic-based national soil classification to the World Reference Base: a challenge for updating soil mapping in Portugal
- MM
MANUEL MADEIRA
- SG
Samuel Guerreiro
- PA
Pedro Arsénio
- VF
Vasco Florentino
University of Lisbon, Lisbon, Portugal
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Abstract
The diversity of soil classification systems makes correlation between them challenging. The World Reference Base for Soil Resources (WRB) stands as a reference framework for international correlation of soils. Soil mapping in Portugal remains heterogeneous as 55.3% of the mainland was mapped at a 1:25,000 scale using the Classification of the Soils of Portugal (CSP), while the remaining area was mapped at a 1:100,000 scale using the WRB system. Converting these legacy maps into a unified national 1:100,000 soil map in the WRB system requires the reinterpretation and remapping of the outdated 1:25,000 soil map. The present paper deals with the categorical levels of the genetic-based CSP dating from 1974, their correspondence with WRB, and the relevance of updating this classification. Most CSP categorical levels show limited correspondence with WRB Reference Soil Groups, since CSP definitions lack the quantitative diagnostic criteria and thresholds required by WRB. Exceptions include the "Barros" order (83% Vertisols), and the suborders Colluvial soils (100% Regosols) and Humic Litholic soils (78% Umbrisols). Overall correspondence improves when considering soil-forming factors such as lithology, relief, and climate, allowing better estimation of dominant and codominant RSGs within mapping units, as well as improved assignment of principal and supplementary WRB qualifiers. The proposed methodology supports the updating and harmonization of soil mapping in Portugal, but, to be successful, it requires the collection of new soil data to refine mapping units. New soil data are also of great usefulness for revising and modernizing the CSP and improve the use of the WRB system.
Summary
Keywords
Diagnostic approach, Geographic information systems, Legacy soil data, Portuguese soil classification, Soil classification conversion
Received
07 February 2026
Accepted
16 April 2026
Copyright
© 2026 MADEIRA, Guerreiro, Arsénio and Florentino. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: MANUEL MADEIRA, mavmadeira@isa.ulisboa.pt
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