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dc.contributorKlik, Andreasen_US
dc.contributorStrohmeier, Stefanen_US
dc.creatorAddis, Hailu Kendieen_US
dc.date2015-06-19en_US
dc.date.accessioned2016-11-24T09:58:29Z
dc.date.available2016-11-24T09:58:29Z
dc.identifierhttp://www.scirp.org/journal/PaperInformation.aspx?PaperID=57289en_US
dc.identifierhttp://dx.doi.org/10.4236/iig.2015.66047en_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/CALCpDBuen_US
dc.identifier.citationHailu Kendie Addis, Stefan Strohmeier, Andreas Klik. (19/6/2015). Spatial Variability of Selected Soil Attributes under Agricultural Land Use System in a Mountainous Watershed, Ethiopia. International Journal of Geosciences, 6(6), pp. 605-613.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5076
dc.description.abstractIn 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 varia- ble. There was a positive link between elevation and SOC whereas bulk density (ρd) and pH indi- cated an inverse relationship with elevation and SOC. The value for nugget/sill of ρd, pH and ele- vation 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 au- tocorrelation. With regard to AP, the value for nugget/sill is more than 0.75, which displays a weak spatial autocorrelation. Semivariograms of ρd, pH and elevation were best fitted to Gaussian mod- el 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.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherScientific Research Publishingen_US
dc.rightsCC-BY-4.0en_US
dc.sourceInternational Journal of Geosciences;6,(2015) Pagination 605,613en_US
dc.subjectsoil landscapeen_US
dc.subjectsoil attributeen_US
dc.subjectspatial variabilityen_US
dc.subjectsemivariogramen_US
dc.subjectwatersheden_US
dc.titleSpatial Variability of Selected Soil Attributes under Agricultural Land Use System in a Mountainous Watershed, Ethiopiaen_US
dc.typeJournal Articleen_US
cg.creator.ID0000-0003-0723-5964en_US
cg.creator.ID-typeORCIDen_US
cg.contributor.centerAmhara Regional Agricultural Research Institute - ARARIen_US
cg.contributor.centerUniversitaet für Bodenkultur Wien, Center for Development Research - BOKU/CDRen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCRP on Water, Land and Ecosystems - WLEen_US
cg.contributor.funderAustrian Development Agency - ADAen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.countryETen_US
cg.coverage.admin-unitAmharaen_US
cg.coverage.geolocationLatitude: 12.409753820104939; Longitude: 37.421264201402664en_US
cg.contacthailukendie@gmail.comen_US
dc.identifier.statusOpen accessen_US


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