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• W2058092644 startingPage "1315" @default.
• W2058092644 abstract "This study attempted to characterize the spatial distributions of soil pH and electrical conductivity (ECe) of coastal fields in the Miyandoroud region, northern Iran, for three soil layer depths by assessing spatial variability and comparing different interpolation techniques such as inverse distance weighting (IDW), ordinary kriging (OK), and conditional simulations (CS). Three soil composite samples were collected from 0–50, 50–100, and 100–150 cm depths at 105 sampling sites. At all three soil depths, pH and ECe were best fitted by exponential and spherical models, respectively. Nugget effects were higher for soil ECe data sets compared with soil pH at all three soil depths showing soil ECe had a spatial variability in small distances. The prediction accuracy of the interpolation methods indicated that the minimum error for all data sets was achieved with the OK method, except for pH at 50–100 cm depth, and the CS technique revealed the largest error. The effect of different numbers of simulations (100, 500 and 1000) in the CS interpolation method resulted not in a realistic mapping for the soil ECe and pH. Considering the high importance of irrigated agriculture in the Caspian Sea coastal areas, more subsoil salinity build-up and groundwater salinity monitoring plans are needed as a prerequisite for sustainable agricultural production systems of the future." @default.
• W2058092644 created "2016-06-24" @default.
• W2058092644 creator A5043482155 @default.
• W2058092644 creator A5084983683 @default.
• W2058092644 date "2014-01-27" @default.
• W2058092644 modified "2023-10-16" @default.
• W2058092644 title "Comparison of spatial interpolation techniques for mapping soil pH and salinity in agricultural coastal areas, northern Iran" @default.
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• W2058092644 doi "https://doi.org/10.1080/03650340.2014.880837" @default.
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