Eurasian Journal of Soil Science

Volume 1, Issue 2, Sep 2012, Pages 64 - 68

Stable URL: http://ejss.fess.org/10.18393/ejss.2012.2.064-068
Copyright © 2012 The authors and Federation of Eurasian Soil Science Societies



Continuous Mapping of Soil pH Using Digital Soil Mapping Approach in Europe

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Article first published online: 05 Sep 2012 | How to cite | Additional Information (Show All)

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Gardi ,C., Yigini,Y., 2012. Continuous Mapping of Soil pH Using Digital Soil Mapping Approach in Europe. Eurasian J Soil Sci 1(2):64 - 68.
Gardi ,C.,,& Yigini,Y. Continuous Mapping of Soil pH Using Digital Soil Mapping Approach in Europe Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2012.2.064-068
Gardi ,C.,, and ,Yigini,Y."Continuous Mapping of Soil pH Using Digital Soil Mapping Approach in Europe" Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2012.2.064-068
Gardi ,C.,, and ,Yigini,Y. "Continuous Mapping of Soil pH Using Digital Soil Mapping Approach in Europe" Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2012.2.064-068
C,Gardi .Y,Yigini "Continuous Mapping of Soil pH Using Digital Soil Mapping Approach in Europe" Eurasian J. Soil Sci, vol., no., pp., DOI : 10.18393/ejss.2012.2.064-068
Gardi ,Ciro ;Yigini,Yusuf Continuous Mapping of Soil pH Using Digital Soil Mapping Approach in Europe. Eurasian Journal of Soil Science,. DOI : 10.18393/ejss.2012.2.064-068

How to cite

Gardi , C., Yigini, Y., 2012. Continuous Mapping of Soil pH Using Digital Soil Mapping Approach in Europe. Eurasian J. Soil Sci. 1(2): 64 - 68.

Author information

Ciro Gardi , European Commission Joint Research Centre, Institute for Environment and Sustainability Land Resources Management Unit, Via Enrico Fermi, Ispra (VA), Italy
Yusuf Yigini , European Commission Joint Research Centre, Institute for Environment and Sustainability Land Resources Management Unit, Via Enrico Fermi, Ispra (VA), Italy

Publication information

Issue published online: 25 Sep 2012
Article first published online : 05 Sep 2012
Manuscript Accepted : 03 Aug 2012
Manuscript Received: 17 Jan 2012

Abstract

Soil pH is one of the most important chemical parameters of soil, playing an essential role on the agricultural production and on the distribution of plants and soil biota communities. It is the expression of soil genesis that in turns is a function of soil forming factors and influences all the chemical, physical and biological processes that occur in the soil. Thus it shapes the entire soil ecosystem. Due to any of the above reasons, mapping of soil pH becomes very important to provide harmonised soil pH data to policy makers, public bodies and researchers. In order to obtain a continuous mapping of soil pH for Europe, adopting the digital soil mapping approach, a set of continuously distribute covariates, highly correlated with pH, were selected. The estimate of soil pH was realized using a regression procedure, coupled with the kriging of the residuals. More than 30.000 points on top soil pH (CaCl2) were used, and 27 covariates were tested as predictors. The similar approach was already applied with 12.333 samples to produce a pH map of Europe using European Soil Profile Data in 2008 which compiles several databases from 11 different sources (Reuter et al. 2008). Our study was conducted to update the previous data and maps based on LUCAS (EUROSTAT - Land Use/Cover Area frame statistical Survey), BIOSOIL (Hiederer and Durrant, 2010) and merged database which was used to produce previous soil pH map of Europe (Reuter et al. 2008). We used a compilation of more than 30.000 soil pH measurements from 13 different sources to create a continuous map of soil pH across Europe using a geostatistical approach based on regression-kriging. Regression was based on the use of 27 covariates in the form of raster maps at 1km resolution to explain the differences in the distribution of soil pH in CaCl2 and we added the kriged map of the residuals from the regression model.

Keywords

Land-cover, LANDSAT, automatic classification, soil – vegetation, correlation

Corresponding author

References

ESRI, 2011. ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute.

Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G., Jarvis, A., 2005. WORLDCLIM, Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978

Hiederer, R., Durrant, T., 2010. Evaluation of BioSoil Demonstration Project - Preliminary Data Analysis. EUR 24258 EN. Luxembourg: Office for Official Publications of the European Communities. 126pp.

Montanarella, L., Toth, G., Jones, A., 2011. Soil Component in the 2009 LUCAS Survey. Land Quality and Land Use Information In the European Union, Eds. Gergely Toth, Tamas Nemeth, Keszthely, LB-NA-24590-EN-C.

McBratney, A.B., Mendonça Santos, M.L., Minasny, B., 2003. On digital soil mapping. Geoderma 117, 3-52.

Reuter, H.I, Rodriguez Lado, L., Hengl, T., Montanarella, L., 2008. Continental Scale Digital Soil Mapping using European Soil Profile Data: soil pH. - in Eds: Böhner,J. ,Blaschke,T. and Montanarella,L. SAGA – Seconds Out,; Hamburger Beiträge zur Physischen Geographie und Landschaftsökologie, Heft 19, Universität Hamburg, Institut für Geographie, ISSN: 1866-170X

SPSS for Windows; Version 16, SPSS Inc.; Chicago, Illinois

Van Orshoven J., Tarres J., Toth T., 2012. Updated common bio-physical criteria to define natural constraints for agriculture in Europe Definition and scientific justification for the common biophysical criteria; Technical Factsheets. Jrc Technical and Scientific Reports, EUR 25203 EN - 2012

Abstract

Soil pH is one of the most important chemical parameters of soil, playing an essential role on the agricultural production and on the distribution of plants and soil biota communities. It is the expression of soil genesis that in turns is a function of soil forming factors and influences all the chemical, physical and biological processes that occur in the soil. Thus it shapes the entire soil ecosystem. Due to any of the above reasons, mapping of soil pH becomes very important to provide harmonised soil pH data to policy makers, public bodies and researchers. In order to obtain a continuous mapping of soil pH for Europe, adopting the digital soil mapping approach, a set of continuously distribute covariates, highly correlated with pH, were selected. The estimate of soil pH was realized using a regression procedure, coupled with the kriging of the residuals. More than 30.000 points on top soil pH (CaCl2) were used, and 27 covariates were tested as predictors. The similar approach was already applied with 12.333 samples to produce a pH map of Europe using European Soil Profile Data in 2008 which compiles several databases from 11 different sources (Reuter et al. 2008). Our study was conducted to update the previous data and maps based on LUCAS (EUROSTAT - Land Use/Cover Area frame statistical Survey), BIOSOIL (Hiederer and Durrant, 2010) and merged database which was used to produce previous soil pH map of Europe (Reuter et al. 2008). We used a compilation of more than 30.000 soil pH measurements from 13 different sources to create a continuous map of soil pH across Europe using a geostatistical approach based on regression-kriging. Regression was based on the use of 27 covariates in the form of raster maps at 1km resolution to explain the differences in the distribution of soil pH in CaCl2 and we added the kriged map of the residuals from the regression model.

Keywords: Land-cover, LANDSAT, automatic classification, soil – vegetation, correlation

References

ESRI, 2011. ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute.

Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G., Jarvis, A., 2005. WORLDCLIM, Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978

Hiederer, R., Durrant, T., 2010. Evaluation of BioSoil Demonstration Project - Preliminary Data Analysis. EUR 24258 EN. Luxembourg: Office for Official Publications of the European Communities. 126pp.

Montanarella, L., Toth, G., Jones, A., 2011. Soil Component in the 2009 LUCAS Survey. Land Quality and Land Use Information In the European Union, Eds. Gergely Toth, Tamas Nemeth, Keszthely, LB-NA-24590-EN-C.

McBratney, A.B., Mendonça Santos, M.L., Minasny, B., 2003. On digital soil mapping. Geoderma 117, 3-52.

Reuter, H.I, Rodriguez Lado, L., Hengl, T., Montanarella, L., 2008. Continental Scale Digital Soil Mapping using European Soil Profile Data: soil pH. - in Eds: Böhner,J. ,Blaschke,T. and Montanarella,L. SAGA – Seconds Out,; Hamburger Beiträge zur Physischen Geographie und Landschaftsökologie, Heft 19, Universität Hamburg, Institut für Geographie, ISSN: 1866-170X

SPSS for Windows; Version 16, SPSS Inc.; Chicago, Illinois

Van Orshoven J., Tarres J., Toth T., 2012. Updated common bio-physical criteria to define natural constraints for agriculture in Europe Definition and scientific justification for the common biophysical criteria; Technical Factsheets. Jrc Technical and Scientific Reports, EUR 25203 EN - 2012



Eurasian Journal of Soil Science