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dc.contributorKlik, Andreasen_US
dc.contributorStrohmeier, Stefanen_US
dc.creatorAddis, Hailu Kendieen_US
dc.identifier.citationHailu Kendie Addis, Andreas Klik, Stefan Strohmeier. (31/12/2016). Performance of frequently used interpolation methods to predict spatial distribution of selected soil properties in an agricultural watershed in Ethiopia. Applied Engineering in Agriculture, 32 (5), pp. 617-626.en_US
dc.description.abstractSoil maps of an agricultural watershed provide a wealth of knowledge and can be a vital tool for implementing site specific soil managements. Hence, watershed based soil assessment was conducted to select an optimum spatial interpolation method, while aiming for sustainable soil managements. Thus, intensive soil sampling was undertaken to investigate the performance of ordinary kriging (OK), inverse distance weighting (IDW) and radial basis functions (RBF) for predicting the spatial distribution of soil texture, pH, soil organic carbon (SOC) and available phosphorus (AP). The 72ha study area was divided into a 100m by 100m grids and approximately at the center of each grid, topsoil (10-15cm) samples were collected over 75 locations across the entire study area. The exponential and Gaussian models were best fitted in the semivariogram of the measured soil variables. The performance of each interpolation method was assessed quantitatively in terms of Nash-Sutcliffe efficiency (E), coefficient of determination (R2) and index of agreement (d). The interpolated maps generated based on the highest value of E displayed OK was best performed for SOC and sand. RBF was most suitable for mapping of AP and clay, while IDW gave better result when applied to pH. The highest value of R2, E and d (0.51, 0.51, and 0.83, respectively) resulted from the spatial interpolation of AP. Generally, the methodology used in this study was adequate for spatial interpolation and evaluation of measured soil properties and can serve as a general method for surface map generation in future studies of similar regions.en_US
dc.publisherAmerican Society of Agricultural and Biological Engineersen_US
dc.sourceApplied Engineering in Agriculture;32,(2016) Pagination 617-626en_US
dc.subjectagricultural watersheden_US
dc.subjectradial basis functionsen_US
dc.titlePerformance of frequently used interpolation methods to predict spatial distribution of selected soil properties in an agricultural watershed in Ethiopiaen_US
dc.typeJournal Articleen_US
cg.creator.idStrohmeier, Stefan: 0000-0003-0723-5964en_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerUniversity of Natural Resources and Life Sciences, Center for Development Research - BOKU - CDRen_US
cg.contributor.centerAmhara Regional Agricultural Research Institute - ARARIen_US
cg.contributor.crpCGIAR Research Program on Water, Land and Ecosystems - WLEen_US
cg.contributor.funderAustrian Development Agency - ADAen_US
cg.contributor.projectReducing land degradation and farmers’ vulnerability to climate change in the highland dry areas of north-western Ethiopiaen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionEastern Africaen_US
dc.identifier.statusOpen accessen_US
mel.funder.grant#Austrian Development Agency - ADA :Korr/185-PP/2012en_US
cg.journalApplied Engineering in Agricultureen_US

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