Paper Information

Journal:   JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)   MARCH-APRIL 2012 , Volume 26 , Number 1; Page(s) 162 To 172.
 
Paper: 

SPATIAL VARIABILITY DELINEATION OF SOIL ORGANIC CARBON IN DIFFERENT LAND USE TYPE OF A SEMI-ARID WATERSHED

 
 
Author(s):  PARVIZI Y.*, GORJI M., MAHDIAN M.H., OMID M.
 
* AGRICULTURE AND NATURAL RESOURCE RESEARCH CENTER OF KERMANSHAH
 
Abstract: 

Soil organic carbon (SOC) is a very important component of soil that supports sustainability and quality in all ecosystems, especially in semi-arid region, and is so important for climate change mitigation. This study was conducted to determine optimum interpolation method for draw SOC spatial variability in a semi-arid region from west of Iran. Cross validation results indicated that ordinary Kriging, Co-Kriging with calcareous percent as secondary variable and RBF with Spline with tension function and optimized parameters, were more efficient to interpolate SOC contents when all data in all land use were applied for interpolating. After division land uses, best interpolation methods were co-Kriging with secondary variable included: surface gravel percent, calcareous percent and soil degradation classes for rangelands, agriculture and forest lands respectively. Exponential model was suitable semivariogram model for all geostatistical methods in all land use types. Optimum lag size and measurement errors in all methods were 750 to 1000 meters and 35-65%, respectively. Application of polygonal Kriging analyses spatial structure of SOC with land use discrimination and abrupt borders between different land use types. But polygonal Kriging did not improve efficiency indices in interpolation, significantly. Estimation error specially increased in south part of ranges because of differences in anisotropy direction and trend existence from data in this location and base variogram in polygonal Kriging.

 
Keyword(s): SOIL ORGANIC CARBON, LAND USE, POLYGONAL KRIGING, KRIGING, CO-KRIGING AND RBF
 
References: 
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