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  4. Patterns and thresholds for soil pH across Europe in relation to soil health and degradation
 
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Patterns and thresholds for soil pH across Europe in relation to soil health and degradation

Citation Link: https://doi.org/10.15480/882.16017
Publikationstyp
Journal Article
Date Issued
2025-12-01
Sprache
English
Author(s)
Lebron, Inmaculada  
Feeney, Christopher  
Reinsch, Sabine  
Shokri, Nima  
Geohydroinformatik B-9  
Afshar, Mehdi H.  
Geohydroinformatik B-9  
Lofts, Stephen  
Griffiths, Rob  
Fidler, David  
Jones, Briony  
Panagos, Panos  
Sawicka, Kasia  
Keith, Aidan  
Seaton, Fiona  
Robinson, David A.  
TORE-DOI
10.15480/882.16017
TORE-URI
https://hdl.handle.net/11420/58068
Journal
Catena  
Volume
260
Article Number
109454
Citation
Catena 260: 109454 (2025)
Publisher DOI
10.1016/j.catena.2025.109454
Scopus ID
2-s2.0-105017730363
Publisher
Elsevier
Soil pH indicates the level of acidity or alkalinity in the soil environment, influencing various biogeochemical and physical processes. Additionally, soil pH levels are crucial in determining the bioavailability of elements such as iron, aluminium, and heavy metals which can be harmful. As such, pH is an important soil health and degradation indicator. Although there is a well-established understanding of soil pH at localized levels, the spatial and temporal variations, as well as significant thresholds at national and continental scales, are not sufficiently documented. Here we analyse the European topsoil pH data (LUCAS) in combination with other soil properties from the LUCAS survey, to identify thresholds and spatial patterns of soil pH across Europe in relation to soil health and degradation. At the European scale we found: 1) the water balance, calculated as mean annual precipitation minus potential evapotranspiration (MAP-PET), provides essential context to interpret soil pH; 2) the shift from organic carbon-rich soils to those dominated by inorganic carbon is observed at a pH of about 7.2, however, soil moisture levels may be more critical than pH for the accumulation of soil organic carbon; 3) we identified three distinct clusters within the multivariate regression tree: acidophiles (below pH 5.2), neutrophiles (pH 5.2–6.9) and alkaliphiles (above pH 6.9), while optimum microbial diversity occurred between pH 6 and 7. Earthworm abundance, as reported by the sWorm database, is more nuanced and dependent on land use; 4) risk of degradation by heavy metals cannot be captured by a single pH threshold. Finally, we identify soil pH thresholds that can aid policymakers in identifying regions that may require protection or intervention.
DDC Class
630: Agriculture and Related Technologies
Lizenz
https://creativecommons.org/licenses/by/4.0/
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