Spatial Variability of Selected Soil Attributes under Agricultural Land Use System in a Mountainous Watershed, Ethiopia

In the Ethiopian Highlands, research projects were often measuring soil attributes of spatially structured point data but soil variability at a watershed scale is not clearly defined. This study was conducted to assess the correlation among selected soil attributes and to illustrate the spatial patt...

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Autores principales: Addis, H.K., Klik, Andreas, Strohmeier, S.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Scientific Research Publishing, Inc. 2015
Materias:
Acceso en línea:https://hdl.handle.net/10568/76721
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author Addis, H.K.
Klik, Andreas
Strohmeier, S.
author_browse Addis, H.K.
Klik, Andreas
Strohmeier, S.
author_facet Addis, H.K.
Klik, Andreas
Strohmeier, S.
author_sort Addis, H.K.
collection Repository of Agricultural Research Outputs (CGSpace)
description In the Ethiopian Highlands, research projects were often measuring soil attributes of spatially structured point data but soil variability at a watershed scale is not clearly defined. This study was conducted to assess the correlation among selected soil attributes and to illustrate the spatial pattern and dependence of neighboring observations. The 53.7 km2 study watershed was divided into a 500 m by 500 m square grid using arcgis and at the center of each grid soil samples from 0 to 25 cm depth were collected within 184 locations. The descriptive statistics revealed available phosphorous (AP) had the largest coefficient of variation (CV = 104) while pH was the least variable. There was a positive link between elevation and SOC whereas bulk density (?d) and pH indicated an inverse relationship with elevation and SOC. The value for nugget/sill of ?d, pH and elevation are less than 0.25, and depicts that it has strong spatial autocorrelation. The value for nugget/ sill of SOC, and TN found between 0.25 and 0.75, and indicate that they have moderate spatial autocorrelation. With regard to AP, the value for nugget/sill is more than 0.75, which displays a weak spatial autocorrelation. Semivariograms of ?d, pH and elevation were best fitted to Gaussian model whereas SOC, TN and AP were best fitted to exponential function. Generally, the study verified that soil measurements taken at the given scale through regular sampling interval were adequate to capture the spatial dependence of numerous initial soil assessments in the study watershed.
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spelling CGSpace767212024-08-27T10:36:47Z Spatial Variability of Selected Soil Attributes under Agricultural Land Use System in a Mountainous Watershed, Ethiopia Addis, H.K. Klik, Andreas Strohmeier, S. semivariogram soil attribute spatial variability watershed In the Ethiopian Highlands, research projects were often measuring soil attributes of spatially structured point data but soil variability at a watershed scale is not clearly defined. This study was conducted to assess the correlation among selected soil attributes and to illustrate the spatial pattern and dependence of neighboring observations. The 53.7 km2 study watershed was divided into a 500 m by 500 m square grid using arcgis and at the center of each grid soil samples from 0 to 25 cm depth were collected within 184 locations. The descriptive statistics revealed available phosphorous (AP) had the largest coefficient of variation (CV = 104) while pH was the least variable. There was a positive link between elevation and SOC whereas bulk density (?d) and pH indicated an inverse relationship with elevation and SOC. The value for nugget/sill of ?d, pH and elevation are less than 0.25, and depicts that it has strong spatial autocorrelation. The value for nugget/ sill of SOC, and TN found between 0.25 and 0.75, and indicate that they have moderate spatial autocorrelation. With regard to AP, the value for nugget/sill is more than 0.75, which displays a weak spatial autocorrelation. Semivariograms of ?d, pH and elevation were best fitted to Gaussian model whereas SOC, TN and AP were best fitted to exponential function. Generally, the study verified that soil measurements taken at the given scale through regular sampling interval were adequate to capture the spatial dependence of numerous initial soil assessments in the study watershed. 2015 2016-09-01T11:12:57Z 2016-09-01T11:12:57Z Journal Article https://hdl.handle.net/10568/76721 en Open Access Scientific Research Publishing, Inc. Addis, H.K.; Klik, A.; Strohmeier, S. 2015. Spatial variability of selected soil attributes under agricultural land use system in a mountainous watershed, Ethiopia. International Journal of Geosciences 6: 605?613.
spellingShingle semivariogram
soil attribute
spatial variability
watershed
Addis, H.K.
Klik, Andreas
Strohmeier, S.
Spatial Variability of Selected Soil Attributes under Agricultural Land Use System in a Mountainous Watershed, Ethiopia
title Spatial Variability of Selected Soil Attributes under Agricultural Land Use System in a Mountainous Watershed, Ethiopia
title_full Spatial Variability of Selected Soil Attributes under Agricultural Land Use System in a Mountainous Watershed, Ethiopia
title_fullStr Spatial Variability of Selected Soil Attributes under Agricultural Land Use System in a Mountainous Watershed, Ethiopia
title_full_unstemmed Spatial Variability of Selected Soil Attributes under Agricultural Land Use System in a Mountainous Watershed, Ethiopia
title_short Spatial Variability of Selected Soil Attributes under Agricultural Land Use System in a Mountainous Watershed, Ethiopia
title_sort spatial variability of selected soil attributes under agricultural land use system in a mountainous watershed ethiopia
topic semivariogram
soil attribute
spatial variability
watershed
url https://hdl.handle.net/10568/76721
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AT klikandreas spatialvariabilityofselectedsoilattributesunderagriculturallandusesysteminamountainouswatershedethiopia
AT strohmeiers spatialvariabilityofselectedsoilattributesunderagriculturallandusesysteminamountainouswatershedethiopia