Year 2017, Volume 63 Issue 4 (15.12.2017)

Year : 2017
Volume : 63
Issue : 4 (15.12.2017)
Authors : Reza SOKOUTI, Athar KAVEH, Mohammad Hossein MAHDIAN, Yahya PARVIZI
Abstract : The Carbon Storage Capacity (CSC) of land ecosystems is considered as the criteria for dry land sustainability assessment through analyzing of its management factors. We studied the commonly used management systems and their affected factors to model soil carbon storage in Sarfirooz-abad watershed, Kermanshah province, IRAN. GIS layers of slope degree, slope direction and elevation created, combined and used as the homogeneous map units. Three field management systems of tillage, crop rotation and residual management were defined and their relevant indicators were quantified. The systematic random method was used for soil sampling and 95 composite soil samples were taken from 0-30cm soil depth. In the laboratory, bulk density, texture and organic carbon content of soils was determined and soil organic carbon storage stocks was calculated. To estimate and model the carbon storage capacity and factors affecting, it was studied by stepwise regression, factor analysis and clustering. Results showed that using cluster analysis by seven variables of 15 variables has the significant relation with CSC with a correlation coefficient of 0.724 including plow index, cereals in crop rotation, stubble burning, animal fertilizer, crop rotation, winter fallow and plow direction. The cluster model efficiency of 0.46 was obtained that could predict about 52% of the CSC variability. The crop rotation and tillage were the variables of precise agricultural systems management that is undoubtedly important in CSC of dry lands
For citation : Sokouti R., Kaveh A., Parvizi Y. (2017): Modeling of soil carbon storage capacity using farm management factors in drylands. Agriculture and Forestry, 63 (4): 153-165. DOI:10.17707/AgricultForest.63.4.17
Keywords : cluster analyzing, crop rotation, tillage, Organic carbon, crop residue
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