Publication:
Mapping and Assessment-Based Modeling of Soil Fertility Differences in the Central and Eastern Parts of the Black Sea Region Using GIS and Geostatistical Approaches

dc.authorscopusid7003363832
dc.authorscopusid16052385200
dc.authorscopusid26027216800
dc.authorscopusid55532714200
dc.authorscopusid57190173581
dc.contributor.authorÖzyazici, M.
dc.contributor.authorDengiz, O.
dc.contributor.authorSaǧlam, M.
dc.contributor.authorErkocak, A.
dc.contributor.authorTürkmen, F.
dc.date.accessioned2020-06-21T13:28:10Z
dc.date.available2020-06-21T13:28:10Z
dc.date.issued2017
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Özyazici] Mehmet Arîf, Department of Field Crops, Siirt Üniversitesi, Siirt, Turkey; [Dengiz] Orhan, Department of Soil Science and Plant Nutrition, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Saǧlam] Mustafa Turgut, Department of Soil Science and Plant Nutrition, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Erkocak] Aylin, Samsun Soil and Water Resources Research Institute, Samsun, Turkey; [Türkmen] Ferhat, Department of Soil Science and Plant Nutrition, Ordu Üniversitesi, Ordu, Turkeyen_US
dc.description.abstractThis study was carried out on arable lands of the central and eastern Black Sea regions including eight provinces (Artvin, Giresun, Gümüşhane, Ordu, Rize, Samsun, Sinop, and Trabzon). The present study aims to generate a soil fertility map for agricultural lands in the central and eastern parts of the Black Sea region. The main objective of this research is to quantify soil fertility by developing a soil fertility index (SFI) model at the regional level. The related objectives were to map the spatial distribution of soil fertility by using auxiliary variables and to model soil fertility within the study region. To accomplish this, a data set for soil fertility differences was collected and a model was developed to predict the spatial distribution of differences across the region. The study area was divided into 2.5 × 2.5-km grid squares. A total of 3400 soil samples were collected from the surface (0–20 cm) of each grid intersection point. The geostatistical method was used to generate the SFI distribution map of the study area for surface soils. Of the total study area, 93.76% had good (S1) or moderately fertile (S2) soil while 6.15% of the area had marginally fertile (S3) soil. Only a very small area (N) had low-fertility soil. © 2017, Saudi Society for Geosciences.en_US
dc.identifier.doi10.1007/s12517-016-2819-6
dc.identifier.issn1866-7511
dc.identifier.issn1866-7538
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85009957664
dc.identifier.urihttps://doi.org/10.1007/s12517-016-2819-6
dc.identifier.volume10en_US
dc.identifier.wosWOS:000392065200025
dc.language.isoenen_US
dc.publisherSpringer Verlag service@springer.deen_US
dc.relation.ispartofArabian Journal of Geosciencesen_US
dc.relation.journalArabian Journal of Geosciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBlack Sea Regionen_US
dc.subjectGeostatisticsen_US
dc.subjectGISen_US
dc.subjectSoil Fertility Indexen_US
dc.titleMapping and Assessment-Based Modeling of Soil Fertility Differences in the Central and Eastern Parts of the Black Sea Region Using GIS and Geostatistical Approachesen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files