Document Type : Research Paper

Authors

1 Alumni, Department of Soil Science, Faculty of Soil Water Engineering, University of Zabol, Zabol, Iran

2 Associate Professor, Department of Soil Science, Faculty of Soil Water Engineering, University of Zabol, Zabol, Iran

3 Assist. Professor, Department of Soil Science, Faculty of Agriculture, Yasouj University, Yasouj, Iran

4 Lecturer, Department of Soil Science, Faculty of Soil Water Engineering, University of Zabol, Zabol, Iran

Abstract

Soil characteristics have spatial variations. Understanding spatial variations of soil characteristics is among the effective factors in sustainable land management. A better understanding the effects of management factors on soil characteristics need to quantify their heterogeneity and variability. This research was conducted with the aim of investigating spatial variations of some soil characteristics such as soil texture (clay, silt and sand), calcium carbonate (CaCo3), soil acidity (pH), and soil salinity using geostatistic methods. For this purpose, 252 soil samples (from 0 to 20 cm depth) were prepared from the study area and physical and chemical properties of soil were measured. After normalizing the data, the half-shift of each of the studied characteristics was calculated and the best model was fitted to them. Then, the characteristics of the study were estimated through different methods of conventional Kriging, simple Kriging, discrete Kriging and Inverse Distance Weighted (IDW) using ArcGIS software. The accuracy of the estimation was evaluated using the mean absolute error (MAE), the mean bias error (MBE), and the root mean square error (RMSE). The results showed that the best model for the acidity was the spherical model and for the other measured variables was the exponential model. Moreover, the conventional CoKriging method for clay, calcium carbonate and acidity (pH), IDW method for silt and soil salinity, and conventional Kriging method for sand were better than other methods used and provided more accurate estimates.

Keywords

Amini M., Afyoni M. and Khademi H. (2006). Modeling of mass balance of Cd and Pb in agricultural lands of Isfahan region. J. Agri. Sci. Technol., 10(4), 77-89 [In Persian].
 
Backett P. H. T. and Webster R. (1971). Soil variability: a review. Soil Fertil., 34, 1-15.
Bameri A., Khormali F., Kiani F. and Dehghani A. A. (2012). Spatial variability of soil organic carbon on different slope positions of loess hill slopes in Toshan area, Golestan Province. J. Water Soil Conserv., 19(2), 43-60 [In Persian].
 
Baybordi M. (2008). Classification and genesis soil. Tehran University Press, Ninth Edition, 780p. [in Persian].
 
Foroughifar H., Jafarzadah A. A., Torabi Gelsefidi H., Aliasgharzadah N., Toomanian N. and Davatgar N. (2010). Spatial variations of surface soil physical and chemical properties on different landforms of Tabriz plain. J. Soil Water, 21(3), 1-21 [In Persian].
 
Gee G. W. and Bauder J. W. (1986). Particle size analysis. p. 383-411. In Klute A. (ed), Methods of Soil Analysis. Part 1. 2nd edition. Agron. Monogr. 9. ASA and SSSA, Madison.
 
Hasani pak A. A. (1998). Geostatistical. Tehran University Press. 180p [In Persian].
 
Hashemi M., Gholamalizadeh Ahangar A., Bameri A., Sarani F. and Hejazizadeh A. (2016). Survey and zoning of soil physical and chemical properties using Geostatistical methods in GIS (Case study: Miankangi region in Sistan). Water Soil, 30(2), 443-458.
 
Hu K., Zhang F., Li H., Huang F. and Li B. G. (2006). Spatial patterns of soil heavy metals in urban-rural transition zone of Beijing. Pedosphere, 16, 690-698.
 
Hu W., Shao M. A., Wan L. and Cheng S. B. (2014). Spatial variability of soil electrical conductivity in a small watershed on the Loess Plateau of China. Geoderma, 230-231, 212-220.
 
Jafari M., Asgari H. M., Moazami M., Tahmoures M. and Beniaz M. (2008). Investigation of spatial distribution of soil properties by use of geostatistical methods. Pajouhesh-Va-Sazandegi, 21(3), 177-185 [In Persian].
 
Karimi Nezhad M. T., Tabatabaii S. M. and Gholami A. (2015). Geochemical assessment of steel smelter-impacted urban soils, Ahvaz, Iran. J. Geochem. Explor., 152, 91-109.
 
Loeppert R. H. and Sparks D. L. (1996). Carbonate and gypsum. p.437-474. In: Sparks D.L. (ed), Methods of soil analysis. Part 3: Chemical properties. Soil Science Society of America. Madison, Wisconsin.
 
López-Granados F., Jurado-Expósito M., Atenciano S., García-Ferrer A., Sánchez de la Orden M. and García-Torres L. (2002). Spatial variability of agricultural soil parameters in southern Spain. Plant Soil, 246, 97–105.
 
Neal M., Khademi H. and Hajabbasi M. A. (2004). Response of soil quality indicators and their spatial variability to land degradation in central Iran. Appl. Soil Ecol., 27, 221-232.
 
Nelson D. W. and Sommers L.E. (1996). Carbon, organic carbon, and organic matter. p. 961-1010. In Sparks D. L. (ed), Methods of Soil Analysis. Soil Science Society of America. Madison, Wisconsin.
 
Pirysahragard H. and Piry J. (2016). Analysis of spatial structure of some soil properties using geostatistical methods (Case study: west rangelands of Taftan-Khash). Rangeland, 10, 224-236.
 
Rizwan M., Siddique M. T., Ahmed H., Iqbal M. and Ziad T. (2016). Spatial variability of selected physico-chemical properties and macronutrients in the shale and sandstone derived soils. Soil Environ., 35(1), 12-21.
 
Robinson T. P. and Metternich G. (2006). Testing the performance of spatial interpolation techniques for mapping soil properties. Comput. Electron. Agri., 50, 97-108.
 
Sarmadian F. and Taghi zadeh Mehrjerdi R. (2010). A comparison of interpolation methods for preparing soil quality maps: Case study: (Agricultural Faculty Experimental Field). Iran. J. Soil Water Res., 40(2), 157-165 [In Persian].
 
Sokouti R., Mahdian M., Mahmoodi Sh. and Ghahramani A. (2007). Comparing the applicability of some Geostatistic methods to predict the variability of soil salinity, a case study of Urmia Plain. Pajauhsh Sazandegi, 74, 90-98 [In Persian].
 
Sparks L. D. (2010). Environmental soil chemistry attitude. In: Oustan, Sh. (ed.) 2nd ed. Tabriz University Press. 391p.
 
Sun B., Shengiu Z. and Qiguo Z. (2003). Evaluation of spatial and temporal changes of soil quality based on geostatistical analysis in the region of subtropical China. Geoderma, 115, 85-99.
 
Vanwalleghem T., Poesen J., Mc Bratney A. and Deckers J. (2010). Spatial variability of soil horizon depth in natural loess-derived soils. Geoderma, 157, 37-45.
 
Wang Y., Fu B., Lu Y., Song Ch. and Luan Y. (2010). Local-scale spatial variability of soil organic carbon and its stock in the hilly area of the Loess Plateau, China. Quat. Res., 73, 70-76.
 
Wang Y., Zhang X. C., Zhang J. L. and Li S. J. (2009). Spatial variability of soil organic carbon in a watershed on the loess plateau. Pedosphere, 19, 486-495
 
Yemefack M., Rossiter D. G. and Vomgang R. N. (2005). Multi-scale characterization of soil variability within an agricultural landscape mosaic system in southern Cameroon. Geoderma, 125, 117-143.
 
Zare Chahouki M. A., Abbasi M. and Azarnivand H. (2014). Spatial distribution modeling for Agropyron intermedium and stipa barbata species habitat using binary logistic regression (Case study: rangeland of Taleghan miany). J. Plant Ecosys. Conserv., 4, 47-60 [In Persian].
 
Zare Chahouki M. A., Khalasi Ahvazi L., Azarnivand H. and Zare Chahouki A. (2013). Examine the spatial distribution some of soil properties using spatial statistical methods in East Semnan rangeland. J. Range Watershed, 66(3), 378-399 [In Persian].
 
Zareian F., Mahmoudi J. and Javadi M. R. (2015). Predicating the spatial variability of some soil properties by using Geostatistic methods in Darreh Viseh, Karaj. Iran. J. Soil Res., 28(3), 511-520 [In Persian].
 
Zheng J., He M., Li X., Chen Y., Li X. and Liu L. (2008). Effect of Salsola passerine shrub patches on the micro scale heterogeneity of soil in a mountain grassland, China. J. Arid Environ., 72, 150-161.
 
Zuo X., Zhao H., Zhao X., Zhang T., Guo Y., Wang S. and Drake S. (2009). Spatial pattern and heterogeneity of soil properties in sand dunes under grazing and restoration in Horqin Sandy Land, Northern China. Soil Tillage Res., 99, 202-212.