Publication:
Comparison of Traditional and Geostatistical Methods to Estimate Soil Erodibility Factor

dc.authorscopusid6603263487
dc.authorscopusid16052385200
dc.contributor.authorBaşkan, O.
dc.contributor.authorDengiz, O.
dc.date.accessioned2020-06-21T15:17:58Z
dc.date.available2020-06-21T15:17:58Z
dc.date.issued2008
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Başkan] Oǧuz, Soil Fertilizer and Water Resources Central Research Institute, Yenimahalle, Ankara, Turkey, Soil Fertilizer and Water Resources Central Research Institute, Yenimahalle, Ankara, Turkey; [Dengiz] Orhan, Department of Soil Science, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractSoil erosion is a major environmental problem that threatens the sustainability and productivity of agricultural areas. Assessment and mapping of soil erosion are extremely important in the management and conservation of natural resources. This study was carried out to evaluate and compare the relationship between soil erodibility (K) maps prepared by traditional and geostatistical methods of the Sogulca Basin soils south of Ankara, Turkey. Ninety-three soil samples (0-20 cm) were collected from the study area to determine the soil erodibility (K). A kriged contour map was drawn based on the spatial variance structure of the data and was combined with the detailed soil map. A soil erodibility map formed using traditional methods underestimated the soil erodibility. A kriged K map displayed significantly better results than K map formed using traditional methods. The spatial variability of the K data changed with the land use and land form. The low erodibility class (K2) that was found 30.6% using a traditional approach decreased to 10.8% using a geostatistic method and the high erodibility class (K4) increased from 31.7% to 50.9%. Copyright © Taylor & Francis Group, LLC.en_US
dc.identifier.doi10.1080/15324980701784241
dc.identifier.endpage45en_US
dc.identifier.issn1532-4982
dc.identifier.issn1532-4990
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-37549050535
dc.identifier.scopusqualityQ2
dc.identifier.startpage29en_US
dc.identifier.urihttps://doi.org/10.1080/15324980701784241
dc.identifier.volume22en_US
dc.identifier.wosWOS:000252059200003
dc.identifier.wosqualityQ4
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofArid Land Research and Managementen_US
dc.relation.journalArid Land Research and Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGeostatisticsen_US
dc.subjectK Factoren_US
dc.subjectKrigingen_US
dc.subjectSemi-Variogramen_US
dc.subjectSoil Erodibilityen_US
dc.subjectUniversal Soil Loss Equation (USLE)en_US
dc.titleComparison of Traditional and Geostatistical Methods to Estimate Soil Erodibility Factoren_US
dc.typeArticleen_US
dspace.entity.typePublication

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