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GEMAS: Cadmium distribution and its sources in agricultural and grazing land soil of Europe — Original data versus clr-transformed data.

Authors :
Birke, Manfred
Reimann, Clemens
Rauch, Uwe
Ladenberger, Anna
Demetriades, Alecos
Jähne-Klingberg, Fabian
Oorts, Koen
Gosar, Mateja
Dinelli, Enrico
Halamić, Josip
Source :
Journal of Geochemical Exploration. Feb2017, Vol. 173, p13-30. 18p.
Publication Year :
2017

Abstract

Over 4000 agricultural and grazing land soil samples were collected for the “Geochemical Mapping of Agricultural and Grazing Land Soil of Europe” (GEMAS) project carried out by the EuroGeoSurveys Geochemistry Expert Group. The samples were collected in 33 European countries, covering 5.6 million km 2 at a density of 1 sample site per 2500 km 2 . All samples were analysed by ICP-MS following an aqua regia extraction. The European median Cd concentration is 0.182 mg/kg in agricultural soil and 0.197 mg/kg in grazing land soil (including eastern Ukraine). The Cd map demonstrates the existence of two different geochemical background regimes in northern and southern Europe, separated by the southern limit of the Quaternary glaciation. Cadmium shows two times higher background concentrations in the older and more weathered southern European soil than in northern European soil. The spatial distribution patterns of Cd in the collected soil samples are mainly governed by geology (parent material and mineralisation), as well as weathering, soil formation and climate since the last glaciation period. Locally, in several areas, the natural anomaly pattern is overprinted by anthropogenic emissions from former mining, ore processing and related metal industries. Some Cd anomalies can be attributed to urbanisation and the use of fertilisers. A comparison of the raw data Cd concentration map with its clr-transformed counterpart and selected single element ratio maps demonstrates that substantial additional information about sources and processes governing the distribution of Cd in agricultural soil at the European scale can be obtained. Results of a PCA, carried out following the classical approach (standardised) versus a PCA based on the statistically acceptable approach, using clr-transformed data, are quite comparable. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03756742
Volume :
173
Database :
Academic Search Index
Journal :
Journal of Geochemical Exploration
Publication Type :
Academic Journal
Accession number :
120336805
Full Text :
https://doi.org/10.1016/j.gexplo.2016.11.007