Soil
samples at 0-20 cm depth were collected from major crop areas of Hindukush
mountainous range, District Chitral, extreme Northwestern Pakistan, during
April 2014 to assess their physico-chemical properties and spatial distribution
pattern. 103 soil samples were analyzed and maps were created by geostatistical
technique of inverse distance weighting and kriging techniques using GIS and GS
win-7 computer software. The soil texture ranged from silt loam to dominantly
sandy loam, slightly acidic to alkaline and moderate to highly calcareous but
with no salinity indication. Soil organic matter was higher than 2 % in about
75 % of samples. Soil pH, EC and lime showed slight dependence on each other
with r values from 0.4 to 0.5 while OM varied independently as indicated by
their lower correlation values. Semivariogram analysis showed that soil pH,
lime, OM had strong spatial dependence (nugget-sill ratio, <25%) while silt,
sand, EC had moderately (nugget-sill ratio, 25-75%) and clay had weakly
distributed in the area. Linear, Gaussian and exponential models were used for
different soil parameter based on nugget, mean prediction error and root mean
square standardize prediction error values and maps were developed through
extension techniques to cover all the area outside the sampling points.
Spatial variability soil mapping kriging Chitral district geostatistics
Birincil Dil | İngilizce |
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Bölüm | Articles |
Yazarlar | |
Yayımlanma Tarihi | 1 Ekim 2018 |
Yayımlandığı Sayı | Yıl 2018 Cilt: 7 Sayı: 4 |