Spatial variation of soil organic carbon in damavand rangelands

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Research Paper 01/09/2014
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Spatial variation of soil organic carbon in damavand rangelands

M. Dadgar, E. Zandi Esfahan, M.R. Sheykh Rabiee
J. Bio. Env. Sci.5( 3), 72-77, September 2014.
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Abstract

Sustainable management of ecosystems requires the understanding and evaluation of spatial and temporal variations of its characteristics for the optimal and sustainable utilization of resources. For this purpose, understanding the spatial distribution of soil properties is of utmost importance. Therefore, the present research was aimed to investigate the spatial variation of soil organic carbon in a part of Damavand Rangelands. In this regard, soil sampling was performed from 0-30 cm soil depth and the amount of soil organic carbon, total nitrogen content, the percentage of clay, sand and silt, pH, and bulk density was measured. To investigate the spatial variations, geostatistical methods including Ordinary Kriging (OK), Cokriging, and Inverse Distance Weighting (IDW) were evaluated. Cross Validation technique and statistical parameters of RMSE, MAE and MBE were also used. According to the results, spherical model was selected as the best-fit model for the semi-variogram of organic carbon with an effective radius of 1500 meters, a nugget effect of 0.02% and a sill of 0.025%. In the cokriging method, clay content was used as a covariable for predicting SOC (P< 0.01, r= 0.838**( . According to the variogram analysis, a spherical model with an effective radius of 1000 meters, a nugget effect of 0.085% and a sill of 0.165 was selected. The correlation coefficient of the model was calculated to be 0.084. The obtained results showed that the cokriging method had smaller errors (RMSE=0.1020) as compared to the other two methods. Therefore, this method was used for mapping soil organic carbon.

VIEWS 9

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.

Hasanipak AA. 2008.Geostatistic.Tehran University publication. 210-265.

Law M C, Balasundram SK, Husni M H A, Ahmed O H, Harun M H. 2009. Spatial variability of soil organic carbon in oil palm, Inte. J. Soil. Sci 1816-4978.

Liu D, Wang Z, Zhang B, Song K, Li X, Li J, Li F, Duan H. 2006. Spatial distribution of soil organic carbon and analysis of related factors in croplands of the black soil region, Northeast China, Agriculture, Ecosystems and Environment 113, 73–81.

Lal R. 2011. Sequestering carbon in soils of agro-ecosystems. Food Policy, 36, S33–S39.

Lufafa A, Diédhiou I, Samba S, Séné M, Khouma M, Kizito F, Dick R P, Dossa E, Noller JS. 2008. Carbon stocks and patterns in native shrub communities of Senegal’s Peanut Basin, Geoderma 146, 75-82.

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, Depar Agr Engin Techno, Tehran Un, 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.

Schuman GE, Janzen HH, Herrick J E. 2002. Soil carbon Dynamics and Potential carbon Sequestration by Rangeland, Environmental Pollution 116, 391-396 .

Simbahan G, Dobermann A, Goovaerts P, Ping J, Haddix M. 2006. Fine-resolution mapping of soil organic carbon based on multivariate secondary data, Geoderma 132, 471–489.

Vasques GM, Grunwald S, Comerford NB, Sickman JO. 2010. Regional modeling of soil carbon at multiple depths within a subtropical watershed, Geoderma 156, 326–336.

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 C, McGrath D. 2004. Geostatistical and GIS analyses on soil organic carbon concentrations in grassland of southeastern Ireland from two different periods, Geoderma 119, 261–275.