Spatial variation of soil organic carbon in Sefid-Rood river delta, Gilan Province
Paper Details
Spatial variation of soil organic carbon in Sefid-Rood river delta, Gilan Province
Abstract
Soil organic carbon (SOC) plays an important role in soil physico-chemical processes as well as in soil fertility and soil quality. Management of SOC can reduce soil erosion and improve crop productivity. Accurate estimation of SOC variability could provide reliable information for understanding nutrients cycling and sediment. Therefore, the present research was aimed to investigate the spatial variation of soil organic carbon in Sefid-Rood river delta. In this regard, soil sampling was performed from 0-30 cm soil depth with their GPS-based coordinates. SOC values for 200 soil samples were measured using standard methods. For geostatistical analyses, semivariogram were developed and then the suitable theory model fitted to the experimental semivariogram. The information generated from the fitted model was applied to make use of ordinary kriging to estimate the value of organic carbon in the unknown locations. Cross validation technique and statistical parameters of root mean square error (RMSE), mean absolute error (MAE) and mean bias error (MBE) were also used. According to the results, the Gaussian model was selected as the best-fit model for the semivariogram with an effective radius of 3.64 km, a nugget effect of 0.17% and a sill of 0.48 was selected. The obtained results showed that the less SOC mostly in the south and northwest of the study area. In these parts, manure can be used to increase soil organic carbon.
Ali Ehyaei M, Behbehani Zade AA. 1993. Methods of Soil Chemical analysis. Soil and Water Research Institute of Agricultural Extension and Education. 80-100.
Amirinejad AA, Kamble K, Aggarwal P, Chakraborty D, Pradhan S, Mittal RB. 2011. Assessment and Mapping of Spatial Variation of Soil physical health in a Farm. Geoderma 160, 292–303.
Ayoubi Sh, Mohammad Zamani S, Khormali F. 2007. Prediction total N by organic matter content using some geostatistic approaches in part of farm land of Sorkhankalateh, Golestan Province. Journal of Agricultural Science and Natural Recourses 14(4), 215–225.
Black CA. 1982. Method of soil analysis, Chemical and microbiological properties. American Society of Agronomy. INC. 581-582.
Boken VK, Hoogenboom G, Hook JE, Thomas DL, Guerra LC, Harrison KA. 2004. Agricultural water use estimation using geospatial modeling and a geographic information system. Agric Water Manage 67, 85-199.
Cambule AH, Rossiter DG, Stoorvogel JJ, Smaling EMA. 2014. Soil organic carbon stocks in the Limpopo National Park, Mozambique: Amount, spatial distribution and uncertainty. Geoderma 213, 46–56.
Chual XW, Huang Xj, Wang WJ, Zhang M, Lai L, Liao QL. 2012. Spatial Variability of Soil Organic Carbon and Related Factors in Jiangsu Province, China. Pedosphere 22(3), 404–414.
Farajnia A, Kalantari A. 2015. An investigation on microelements spatial changes in Malekan through Geographic Information System. Advances in Environmental Biology 9(2), 1007-1014.
Hasanipak AA. 2008. Geostatistic. Tehran University publication. 210-265.
Kabindra Am, Alfred EH, Budiman M, Rania BK, Mette BG, Mogens HG. 2014. digital mapping of soil organic carbon contets and stocks in Denmark. PLoS ONE 9, 1-13.
Law MC, Balasundram SK, Husni MHA, Ahmed OH, Harun MH. 2009. Spatial variability of soil organic carbon in oil palm. Inte. J. Soil. Sci 1816-4978.
Meul MM, Van Meirvenne M. 2003. Kriging soil texture under different types of nonstationarity. Geoderma 112, 217-233.
Mohammadi J. 2006. Pedometery, Spatial statistics, Vol. II. Pelk Press, Tehran, Iran. 283-287.
Parvizi Y. 2010. Zoning spatial variability of soil organic carbon and the effect of physical and managerial factors that analysts use multivariate and artificial neural networks. PhD Thesis, University of Tehran, Iran, 45-110.
Sarmadian F, Taghizadeh M. 2010. Development of Pedotransfer Functions to Predict Soil Hydraulic Properties in Golestan Province, Iran. 19th World Congress of Soil Science, Australia. 59-62.
Sarmadian F, Keshavarzi A, Antonia O, Zahedi G, Javadikia H. 2014. Mapping of Spatial Variability of Soil Organic Carbon Based on Radial Basis Functions method. ProEnvironment 7, 3-9.
Shahdi A, Khankeshipour GR, Kavusi M, Razavipour T, Fathidokht H, Aliesmaili S, Monshizadeh AO. 2012. Soil nutrients and rice plant nutrition. Rice Research Institute of IRAN. 76-78.
Shi J, Wang H, Xu J, Wu J, Liu X, Zhu H, Yu C. 2007. Spatial distribution of heavy metals in soils: A case study of Changxing, China. Environmental Geology 52, 1‐10.
Utset A, Lopez T, Diaz M. 2000. A comparison of soil maps, kriging and a combined method for spatially prediction bulk density and field capacity of Ferralsols in the Havana‐Matanaz Plain. Geoderma 96, 199-213.
Wang M, Zhang B, Song KS, Liu DW, Ren CY. 2010. Spatial variability of soil organic carbon under maize monoculture in the Song-Nen Plain, Northeast China. Pedosphere 20, 80-89.
Zhang Sh R, Sun B, Zhao QG, Xiao PF, Shu J. 2004. Temporal-Spatial Variability of Soil Organic Carbon Stocks in a Rehabilitating Ecosystem. Pedosphere 14, 501-508.
S. Nosratpour, M.M. Tehrani, M.H. Mahdian, M.H. Masihabadi (2015), Spatial variation of soil organic carbon in Sefid-Rood river delta, Gilan Province; JBES, V7, N1, July, P224-230
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