State-space estimation of soil organic carbon stock
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Department of Crop Production and Protection, Federal University, PMB 5001, Dutsin-Ma, Nigeria
Department of Rural Engineering, Federal University of Pelotas, CP 354, 96001-970 Pelotas, RS, Brazil
Federal College of Forestry, PMB 2019, Jos, Nigeria
Department of Soil Management and UNESCO Chair on Eremology, Ghent University, Coupure Links 653, B 9000 Ghent, Belgium
Int. Agrophys. 2014, 28(2): 185-194
Understanding soil spatial variability and identifying soil parameters most determinant to soil organic carbon stock is pivotal to precision in ecological modelling, prediction, estimation and management of soil within a landscape. This study investigates and describes field soil variability and its structural pattern for agricultural management decisions. The main aim was to relate variation in soil organic carbon stock to soil properties and to estimate soil organic carbon stock from the soil properties. A transect sampling of 100 points at 3 m intervals was carried out. Soils were sampled and analyzed for soil organic carbon and other selected soil properties along with determination of dry aggregate and water-stable aggregate fractions. Principal component analysis, geostatistics, and state-space analysis were conducted on the analyzed soil properties. The first three principal components explained 53.2% of the total variation; Principal Component 1 was dominated by soil exchange complex and dry sieved macroaggregates clusters. Exponential semivariogram model described the structure of soil organic carbon stock with a strong dependence indicating that soil organic carbon values were correlated up to 10.8m.Neighbouring values of soil organic carbon stock, all waterstable aggregate fractions, and dithionite and pyrophosphate iron gave reliable estimate of soil organic carbon stock by state-space.
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