Robust geostatistical prediction of trace elements across France

A - Papers appearing in refereed journals

Saby, N. P. A., Marchant, B. P., Lark, R. M., Jolivet, C. C. and Arrouays, D. 2011. Robust geostatistical prediction of trace elements across France. Geoderma. 162 (3-4), pp. 303-311.

AuthorsSaby, N. P. A., Marchant, B. P., Lark, R. M., Jolivet, C. C. and Arrouays, D.
Abstract

National-scale soil monitoring networks are required to identify where the soil quality is threatened and evaluate the effectiveness of any remediation efforts. In particular, trace elements (TEs) should be monitored to assess human exposure to potentially toxic elements and to ensure that crops take up sufficient quantities of elements that have essential functions in the human body. However the spatial variation of TEs is often highly complex since hot-spots at point sources are superimposed upon more regular patterns produced by diffuse pollution and natural processes. Geostatistical methods used to analyse national-scale soil monitoring networks must be general enough to accommodate such behaviour but simple enough to be computed in a reasonable time for large datasets. We show how a simplified version of a recently developed robust geostatistical algorithm to map the underlying variation of six TEs (Cr, Cu, Pb, Ni, Th and Zn) across France using observations from the French National Soil Monitoring Network (Réseau de Mesures de la Qualité des Sols). Cross-validation results suggest that these TEs cannot be modelled by non-robust methods but that the simplified robust approach is sufficient. Differences between the maps of different elements and the abundance of TEs from different parent materials are evident. Large concentrations of Cr, Ni and Zn occur in soils on Jurassic rocks whereas Pb and Th concentrations are large in soils on crystalline rocks. Volcanic parent material leads to large concentrations of Cr, Cu, Ni and Zn but small concentrations of Pb and Th. Diffuse pollution of certain elements (mainly Pb, and to a lesser extent Zn) is evident in industrial regions in the north and the north-east of France and close to Paris. The pattern of outlying values is indicative of local anthropogenic processes such as industrial pollution in the north of France and close to Paris, and application of Cu on vineyards and of geological anomalies such as large concentrations of some TEs in the south of the Massif Central Mountains. Future phases of the RMQS will describe the spatial and temporal trends of the concentrations of these TEs.

Year of Publication2011
JournalGeoderma
Journal citation162 (3-4), pp. 303-311
Digital Object Identifier (DOI)doi:10.1016/j.geoderma.2011.03.001
Open accessPublished as non-open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeCentre for Mathematical and Computational Biology (MCB)
Complex spatial variation of environmental variables: sampling, prediction and interpretation
Publisher's version
Copyright license
Publisher copyright
Output statusPublished
Publication dates
Online11 Apr 2001
Publication process dates
Accepted14 Mar 2011
PublisherElsevier Science Bv
ISSN0016-7061

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