Eurasian Journal of Soil Science

Volume 2, Issue 2, Oct 2013, Pages 82 - 89

Stable URL: http://ejss.fess.org/10.18393/ejss.2013.2.082-089
Copyright © 2013 The authors and Federation of Eurasian Soil Science Societies



Probability mapping of saline and sodic soils in the Harran plain using a non-linear kriging technique

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Bilgili ,A., Çullu,M., Aydemir,S., Aydemir,A., Almaca,A., 2013. Probability mapping of saline and sodic soils in the Harran plain using a non-linear kriging technique. Eurasian J Soil Sci 2(2):82 - 89.
Bilgili ,A.,Çullu,M.Aydemir,S.Aydemir,A.,& Almaca,A. Probability mapping of saline and sodic soils in the Harran plain using a non-linear kriging technique Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2013.2.082-089
Bilgili ,A.,Çullu,M.Aydemir,S.Aydemir,A., and ,Almaca,A."Probability mapping of saline and sodic soils in the Harran plain using a non-linear kriging technique" Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2013.2.082-089
Bilgili ,A.,Çullu,M.Aydemir,S.Aydemir,A., and ,Almaca,A. "Probability mapping of saline and sodic soils in the Harran plain using a non-linear kriging technique" Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2013.2.082-089
AV,Bilgili .MA,Çullu.S,Aydemir.A,Aydemir.A,Almaca "Probability mapping of saline and sodic soils in the Harran plain using a non-linear kriging technique" Eurasian J. Soil Sci, vol., no., pp., DOI : 10.18393/ejss.2013.2.082-089
Bilgili ,Ali ;Çullu,Mehmet ;Aydemir,Salih ;Aydemir,Aydın ;Almaca,Ahmet Probability mapping of saline and sodic soils in the Harran plain using a non-linear kriging technique. Eurasian Journal of Soil Science,. DOI : 10.18393/ejss.2013.2.082-089

How to cite

Bilgili , A., V. Çullu, M., A. Aydemir, S., A. Aydemir, A., A. Almaca, A., A.2013. Probability mapping of saline and sodic soils in the Harran plain using a non-linear kriging technique. Eurasian J. Soil Sci. 2(2): 82 - 89.

Author information

Ali Bilgili , Harran University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Şanlıurfa, Turkey
Mehmet Çullu , Harran University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Şanlıurfa, Turkey
Salih Aydemir , Harran University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Şanlıurfa, Turkey
Aydın Aydemir , Ministry of Food, Agriculture and Livestock, General Directorate of Agricultural Reform, Şanlıurfa, Turkey
Ahmet Almaca , Harran University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Şanlıurfa, Turkey

Publication information

Issue published online: 15 Oct 2013
Article first published online : 20 May 2013
Manuscript Accepted : 09 May 2013
Manuscript Received: 01 Dec 2011

Abstract

In the Harran Plain, southeastern Turkey, soil salinisation causes land degradation threatening the sustainability of agricultural production. According to a recent survey, approximately 18000 ha area has been affected by soil salinity and sodicity at various levels. Determining the distribution of saline and sodic soils in the study area is the first step for effective management of these soils. Over 200 soil samples have been randomly selected across the plain and analyzed for selected soil salinity and sodicity variables in soil salinity laboratory. Indicator kriging (IK), a non-linear interpolation technique, was used to map the probability levels of occurrence of saline and sodic soils across the plain. The results of IK showed the probability distributions of risky areas under different types of soil salinity classes; nonsaline, saline, saline – sodic and sodic.

Keywords

Harran Plain, saline-sodic soils, indicator kriging, probability distribution

Corresponding author

References

Andrews, S.S., Karlen, D.L., Cambardella, C.A., 2004. The Soil Management Assessment Framework: A quantitative Soil Quality Evaluation Method. Soil Science Society of America Journal, 68, 1945-1962.

Ardahanlıoglu, O., Oztas, T., Evren, S., Yılmaz, H., Yildirim, Z.N., 2003. Spatial variability of exchangeable sodium, electrical conductivity, soil pH and boron content in salt-and sodium-affected areas of the Igdir plain (Turkey). Journal of Arid Environments, 54, 495-503.

Aydemir, S., Sonmez, O., 2008. Ameliorative effect of indigenous calcite on sodium- saturated clay sytems. Soil Science, 173, 96-107.

Bilgili, A.V., Akis, R., Aydemir, A., Cullu, M. A., van Es, H.M., 2006. The Prediction and Extraction of Hill Slope Flow Paths and Ephemeral Gullies in a digitized Harran Watershed. Sustainable Developments and new Technologies for Agricultural Production in Gap Region. May 29-31 2006. Sanliurfa/Turkiye.

Bilgili, A.V., Cullu, M. A., van Es, H., Aydemir, A., Aydemir, S., 2011. The Use of Hyperspectral Visible and Near Infrared Reflectance Spectroscopy for the Characterization of Salt-Affected Soils in the Harran Plain, Turkey. Arid Land Research and Management, 25, 19 - 37.

Cambardella, C.A., Moorman, T.B., Novak, J.M., Parkin, T.B., Karlen, D.L., Turco, R.F., Konopka, A.E., 1994. Field-scale variability of soil properties in Central Iowa soils. Soil Science Society of America Journal, 58, 1501-1511.

Cetin, M., Kirda, C., 2003. Spatial and temporal changes of soil salinity in a cotton field irrigated with low-quality water. Journal of Hydrology, 272, 238-249.

Cullu, M.A., 2003. Estimation of the Effect of Soil Salinity on Crop Yield Using Remote Sensing and Geographic Information System. Turkish Journal Agriculture and Forestry, 27, 23-28.

Dash, J.P., Sarangi, A., & Singh, D.K., 2010. Spatial Variability of Groundwater Depth and Quality Parameters in the National Capital Territory of Delhi. Environmental Management, 45, 640-650.

Demir, Y., Ersahin, S., Güler, M., Cemek, B., Günal, H., Arslan, H., 2009. Spatial variability of depth and salinity of groundwater under irrigated ustifluvents in the Middle Black Sea Region of Turkey. Environmental Monitoring and Assessment, 158, 279-94.

Goovaerts, P., 1997. Geostatistics for Natural Resources Evaluation.Oxford University Press, New York.

Hu, K., Huang, Y., Li, B., Chen, D., White, R.E., 2005. Spatial variability of shallow groundwater level, electrical conductivity and nitrate concentration, and risk assessment of nitrate contamination in North China Plain. Environment International, 31,896-903.

Leenaers, H., Okx, J.P., Burrough, P.A., 1990. Comparison of spatial prediction methods for mapping floodplain soil pollution. Catena, 17, 535-550.

Muhammad, S., Muller, T., Joergensen, R.G., 2008. Relationships between soil biological and other soil properties in saline and alkaline arable soils from the Pakistani Punjab. Journal of Arid Environments, 72, 448-457.

Richard, L.A., 1954. Diagnosis and Improvement of Saline and Alkali Soils. United States Department of Agriculture, Washington, D.C. USA: Hand book 60.

Tanji, K., 2002. Salinity in the soil environment. In Salinity: Environment -Plants - Molecules (pp. 21-53). Kluwer Academic Publishers Dordrecht/Boston/London.

Webster, R., Oliver, M.A., 2007. Geostatistics for environmental scientists. Chichester, England: John Wiley & Sons.

Abstract

In the Harran Plain, southeastern Turkey, soil salinisation causes land degradation threatening the sustainability of agricultural production. According to a recent survey, approximately 18000 ha area has been affected by soil salinity and sodicity at various levels. Determining the distribution of saline and sodic soils in the study area is the first step for effective management of these soils. Over 200 soil samples have been randomly selected across the plain and analyzed for selected soil salinity and sodicity variables in soil salinity laboratory. Indicator kriging (IK), a non-linear interpolation technique, was used to map the probability levels of occurrence of saline and sodic soils across the plain. The results of IK showed the probability distributions of risky areas under different types of soil salinity classes; nonsaline, saline, saline – sodic and sodic.

Keywords: Harran Plain, saline-sodic soils, indicator kriging, probability distribution

References

Andrews, S.S., Karlen, D.L., Cambardella, C.A., 2004. The Soil Management Assessment Framework: A quantitative Soil Quality Evaluation Method. Soil Science Society of America Journal, 68, 1945-1962.

Ardahanlıoglu, O., Oztas, T., Evren, S., Yılmaz, H., Yildirim, Z.N., 2003. Spatial variability of exchangeable sodium, electrical conductivity, soil pH and boron content in salt-and sodium-affected areas of the Igdir plain (Turkey). Journal of Arid Environments, 54, 495-503.

Aydemir, S., Sonmez, O., 2008. Ameliorative effect of indigenous calcite on sodium- saturated clay sytems. Soil Science, 173, 96-107.

Bilgili, A.V., Akis, R., Aydemir, A., Cullu, M. A., van Es, H.M., 2006. The Prediction and Extraction of Hill Slope Flow Paths and Ephemeral Gullies in a digitized Harran Watershed. Sustainable Developments and new Technologies for Agricultural Production in Gap Region. May 29-31 2006. Sanliurfa/Turkiye.

Bilgili, A.V., Cullu, M. A., van Es, H., Aydemir, A., Aydemir, S., 2011. The Use of Hyperspectral Visible and Near Infrared Reflectance Spectroscopy for the Characterization of Salt-Affected Soils in the Harran Plain, Turkey. Arid Land Research and Management, 25, 19 - 37.

Cambardella, C.A., Moorman, T.B., Novak, J.M., Parkin, T.B., Karlen, D.L., Turco, R.F., Konopka, A.E., 1994. Field-scale variability of soil properties in Central Iowa soils. Soil Science Society of America Journal, 58, 1501-1511.

Cetin, M., Kirda, C., 2003. Spatial and temporal changes of soil salinity in a cotton field irrigated with low-quality water. Journal of Hydrology, 272, 238-249.

Cullu, M.A., 2003. Estimation of the Effect of Soil Salinity on Crop Yield Using Remote Sensing and Geographic Information System. Turkish Journal Agriculture and Forestry, 27, 23-28.

Dash, J.P., Sarangi, A., & Singh, D.K., 2010. Spatial Variability of Groundwater Depth and Quality Parameters in the National Capital Territory of Delhi. Environmental Management, 45, 640-650.

Demir, Y., Ersahin, S., Güler, M., Cemek, B., Günal, H., Arslan, H., 2009. Spatial variability of depth and salinity of groundwater under irrigated ustifluvents in the Middle Black Sea Region of Turkey. Environmental Monitoring and Assessment, 158, 279-94.

Goovaerts, P., 1997. Geostatistics for Natural Resources Evaluation.Oxford University Press, New York.

Hu, K., Huang, Y., Li, B., Chen, D., White, R.E., 2005. Spatial variability of shallow groundwater level, electrical conductivity and nitrate concentration, and risk assessment of nitrate contamination in North China Plain. Environment International, 31,896-903.

Leenaers, H., Okx, J.P., Burrough, P.A., 1990. Comparison of spatial prediction methods for mapping floodplain soil pollution. Catena, 17, 535-550.

Muhammad, S., Muller, T., Joergensen, R.G., 2008. Relationships between soil biological and other soil properties in saline and alkaline arable soils from the Pakistani Punjab. Journal of Arid Environments, 72, 448-457.

Richard, L.A., 1954. Diagnosis and Improvement of Saline and Alkali Soils. United States Department of Agriculture, Washington, D.C. USA: Hand book 60.

Tanji, K., 2002. Salinity in the soil environment. In Salinity: Environment -Plants - Molecules (pp. 21-53). Kluwer Academic Publishers Dordrecht/Boston/London.

Webster, R., Oliver, M.A., 2007. Geostatistics for environmental scientists. Chichester, England: John Wiley & Sons.



Eurasian Journal of Soil Science