Characterization Of Spatial Variability Of Soil Nutrients At Seberang Perai, Malaysia
This study addressed the characterization of spatial variability of soil nutrients at Seberang Perai, Malaysia using Geostatistical methods. Accurate information from this study on the spatial variability of soil chemical properties is very important in understanding and characterization of sm...
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| Main Author: | |
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| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2005
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| Online Access: | http://eprints.usm.my/57148/1/Characterization%20Of%20Spatial%20Variability%20Of%20Soil%20Nutrients%20At%20Seberang%20Perai%2C%20Malaysia_Lai%20Kong%20Soon.pdf http://eprints.usm.my/57148/ |
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| Summary: | This study addressed the characterization of spatial variability of soil nutrients at
Seberang Perai, Malaysia using Geostatistical methods. Accurate information from this
study on the spatial variability of soil chemical properties is very important in
understanding and characterization of small scale spatial variability nature of nutrient
properties of tropical soil, and thus allows in investigation of the catchment’s
characteristics in Seberang Perai area in Malaysia. Two significant aspects of spatial
variability of soil chemical properties were examined in this study. First, spatial
distribution patterns of soil chemical properties (pH, total Nitrogen (N), available
Phosphorus (P) and exchangeable Potassium (K)) were investigated and secondly the
spatial autocorrelation for these properties were investigated. The study area was divided
by a number of geo-grid reference points. Soil samples (n=70) were collected at these
points and were analyzed in the laboratory for soil chemical soil properties. Differential
global positioning system (DGPS) was used to locate the sample position. These soil
properties along with their geo-grid reference location were analyzed to produce soil
properties map over the entire area using the software SURFER. Semivariogram analysis
was performed for the spatial soil properties to examine the autocorrelation among the
data set using GS+ software. Results indicate that significant spatial variability exist in
the soil chemical properties. The nugget to sill ratio indicates a moderate dependency for
soil pH and available Phosphorus, while a strong dependency for Potassium and total
Nitrogen. |
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