Skip to main content

Advertisement

SpringerLink
Log in

Similarity analysis of soils formed on limestone/marl-alluvial parent material and different topography using some physical and chemical properties via cluster and multidimensional scaling methods

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

The aim of this study is to analyze the similarity of soils formed on limestone/marl alluvial parent material and different topography using some physical and chemical properties via cluster analysis (CA) and multidimensional scaling analysis (MDSA). Physical and chemical soil properties included in this study are texture, CaCO3, organic matter, pH, electrical conductivity, cation exchange capacity, and available water content. The study was carried out in Çetinkaya region located on Bafra Deltaic Plain. The study area has two main physiographic units. The first one is the flat or gently slope alluvial lands (0–2 %), and the other one involves hills with slopes ranging from middle to steep (3–20 %). The soil in the study area is mainly classified as entisol, inceptisol and vertisol. According to the CA results, while C horizons of the soils formed on alluvial deposits (typic ustifluvent and typic ustipsamment) bear similarity, Ap horizons of the soils formed on lime/marl parent material (vertic ustorhent, vertic calciustept, and calci haplustert) appear in the same group. Additionally, in order to support CA, MDSA was performed. Significant correlations were observed between the results of both analyses.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Aimrun, W., Amin, M. S. M., Ahmad, D., Hanafi, M. M., & Chan, C. S. (2007). Spatial variability of bulk soil electrical conductivity in a Malaysian paddy field: key to soil management. Paddy and Water Environment, 5, 113–121.

    Article  Google Scholar 

  • Allison, L. E., & Moodie, C. D. (1965). Volumetric calsimeter method. In C. A. Black (Ed.), Methods of soil analysis. Part II: Chemical and microbiological properties (pp. 1389–1392). Madison: ASA Agronomy Monograph.

    Google Scholar 

  • Bruce, R. C., & Rayment, G. E. (1982). Analytical methods and interpretations used by the agricultural chemistry branch for soil and land use surveys. Indooroopilly, Queensland: Queensland Department of Primary Industries, Bulletin QB8 (2004).

  • Dengiz, O., Sağlam, M., Özaytekin, H. H., & Başkan, O. (2013). Weathering rates and some physico-chemical characteristics of soils developed on a calcic toposequences. Carpathian Journal of Earth and Environmental Sciences, 8(2), 13–24.

    Google Scholar 

  • Gee, G. W., & Bauder, J. W. (1986). Particle-sieze analysis. In A. Klute (Ed.), Methods of Soil Analysis. Part I: Physical and mineralogical methods (2nd ed., pp. 388–409). Madison: ASA and SSSA Agronomy Monograph.

    Google Scholar 

  • Hendershot, W. H., Laareae, H., & Duquette, M. (1993). Soil reaction and exchangeable acidity. In M. R. Carter (Ed.), Soil sampling and methods of analysis (pp. 141–145). Boca Raton: Lewis.

    Google Scholar 

  • İşler, D. B. (2010). Multidimensional scaling analysis. In Ş. Kalaycı (Ed.), Multivariate statistical techniques SPSS applied (pp. 379–386). Ankara: Asil Publication Distrubition Limited Company.

    Google Scholar 

  • Jackson, M. L. (1958). Soil chemical analysis. New Jersey: Prentice Hall, Inc., Engleewood Cliffs.

    Google Scholar 

  • Juma, N. G. (1999). What is soil? Major components of soil. In: The pedosphere and its dynamics. A systems approach to soil science. http://www.Pedosphere.com.

  • Klute, A. (1986). Water retention: Laboratory methods. In A. Klute (Ed.), Methods of soil analysis. Part I: Physical and mineralogical methods (2nd ed., pp. 635–662). Madison: ASA and SSSA Agronomy Monograph.

    Google Scholar 

  • Metson, A. J. (1961). Methods of chemical analysis for soil survey samples. Soil Bureau Bulletin No 12, New Zealand Department of Scientific and Industrial Research (pp. 168–175). Wellington: Government Printer.

    Google Scholar 

  • Mulla, D. J., & McBratney, A. B. (2000). Soil spatial variability. In M. E. Summer (Ed.), Handbook of soil science (pp. A-321–A-351). Boca Raton: CRS.

    Google Scholar 

  • Rhoades, J. D. (1982). Soluble salts. In A. L. Page, R. H. Miller, & D. R. Keeney (Eds.), Methods of soil analysis. Part II: Chemical and microbiological properties (2nd ed., pp. 167–178). Madison: ASA and SSSA Agronomy Monograph.

    Google Scholar 

  • Rhoades, J. D. (1986). Cation exchange capacity. In C. A. Francis (Ed.), Methods of soil analysis. Part II: Chemical and microbiological properties (2nd ed., pp. 149–158). Madison: ASA and SSSA Agronomy Monograph.

    Google Scholar 

  • Sağlam, M. (2008). Analyses of spatial variability in some soil quality indices at widely distributed soil series of Gökhöyük State Farm using geostatistical methods. Ph.D. thesis. University of Ankara, Science Institute, Department of Soil Science and Plant Nutrition, Ankara, Turkey.

  • Sarıoğlu, F.E., & Dengiz, O. (2012). Soil survey and mapping of soils formed on two different physiographic units and their classification. Proceedings, 8th International Soil Science Congress on “Land Degradation and Challenges in Sustainable Soil Management”, May 15–17, Çeşme, İzmir.

  • Soil Survey Staff. (1993). Soil soil survey manual. Washington, DC: USDA Handbook, No 18.

  • Soil Survey Staff. (1999). Soil taxonomy. A basic of soil classification for making and interpreting soil survey. Washington, DC: USDA Handbook, No 436.

  • Sun, B., Zhou, S., & Zhao, Q. (2003). Evaluation of spatial and temporal changes of soil quality based on geostatistical analysis in the hill region of subtropical China. Geoderma, 115, 85–99.

    Article  Google Scholar 

  • Şahin, A., & Miran, B. (2007). Farmer based risk map for crops:the case of Bayındır district. The Journal of Ege University Faculty of Agriculture, 44(3), 59–74.

    Google Scholar 

  • Şahin, A., Atış, E., & Miran, B. (2008). Identifying homogeneous locations for more efficient agricultural and environmental policies: the case of Ege region. Journal of Ecology, 17(67), 15–23.

    Google Scholar 

  • Thorntwaite, C. W. (1948). An approach to a rational classification of climate. Geographic Review, 38, 55–94.

    Article  Google Scholar 

  • Tsegaye, T., & Hill, R. L. (1998). Intensive tillage effects on spatial variability of soil test, plant growth and nutrient uptake measurement. Soil Science, 163, 155–165.

    Article  CAS  Google Scholar 

  • Uçar, N. (2010). Cluster analysis. In Ş. Kalaycı (Ed.), Multivariate statistical techniques SPSS applied (pp. 350–369). Ankara: Asil Publication Distribution Limited Company.

    Google Scholar 

  • Ülgen, N., & Yurtsever, N. (1974). The fertilizer and fertilization guide of Turkey. Ankara: Technical Publication of Soil and Fertilizer Research Institute, No, 28.

  • Wagener, T., Sivapalan, M., Troch, P., & Woods, R. (2007). Catchment classification and hydrologic similarity. Geography Compass. doi:10.1111/j.1749-8198.2007.00039.x.

    Google Scholar 

  • Wilding, L. P., Bouma, J., & Goss, D. W. (1994). Impact of spatial variability on interpretative modelling. In R. B. Bryant & R. W. Arnold (Eds.), Quantitative modelling of soil forming processes. Madison: SSSA Special Publication 39.

    Google Scholar 

  • Yost, R. S., Uehara, G., & Fox, R. L. (1982). Geostatistical analysis of soil chemical properties of large land areas. I. Semi-variograms. Soil Science Society of America Journal, 46, 1028–1032.

    Article  CAS  Google Scholar 

  • Zolotajkin, M., Smolinski, A., Ciba, J., Kluczka, J., & Skwira, M. (2014). Comparison of the chemical properties of forest soil from the Silesian Beskid. Poland. Journal of Chemistry. doi:10.1155/2014/748236.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Ondokuz Mayis University, Samsun, Turkey

    Mustafa Sağlam & Orhan Dengiz

Authors
  1. Mustafa Sağlam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Orhan Dengiz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mustafa Sağlam.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sağlam, M., Dengiz, O. Similarity analysis of soils formed on limestone/marl-alluvial parent material and different topography using some physical and chemical properties via cluster and multidimensional scaling methods. Environ Monit Assess 187, 100 (2015). https://doi.org/10.1007/s10661-014-4226-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-014-4226-3

Keywords

Search

Navigation