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Assessment of Walnut (juglans Regia L.) Cultivation Land Suitability Using a Multiple-Criteria Decision-Making Method in Southeastern Turkey

dc.authoridMERCAN, CAGRI/0000-0003-1694-0024
dc.authorscopusid57205600355
dc.authorwosidMERCAN, CAGRI/A-5460-2018
dc.contributor.authorMercan, Cagri
dc.date.accessioned2025-02-15T19:36:11Z
dc.date.available2025-02-15T19:36:11Z
dc.date.issued2025
dc.departmentArtuklu Universityen_US
dc.department-temp[Mercan, Cagri] Mardin Artuklu Univ, Savur Vocat Sch, Dept Mapping & Cadastre, TR-47080 Mardin, Turkiyeen_US
dc.descriptionMERCAN, CAGRI/0000-0003-1694-0024en_US
dc.description.abstractSite selection for agricultural products is critical for agricultural planning, productivity, and farmers. Site selection is also critical for agricultural sustainability, as it helps ensure the efficient use of natural resources and avoids environmental degradation. This research proposes an evaluation model for walnut cultivation in the Savur (Mardin, Turkey) district in the Southeastern Anatolia region. Based on literature data, expert opinion, and local walnut producers' perspectives, a spatial decision support system was developed using Geographic Information System (GIS)-based Multi-Criteria Decision Analysis (MCDA). This model provides farmers and stakeholders with a comprehensive evaluation of the different walnut-producing sites in the Savur district. It allows them to make informed decisions about the most suitable areas for walnut production. The land suitability assessment for walnut orchards included four primary evaluation aspects, ten main criteria, and forty-seven sub-criteria. Evaluation criteria were weighted using the Analytic Hierarchy Process (AHP). A land suitability map was created using the weighted overlay method in overlap with the evaluation criteria. The results showed 442.56 ha of very highly suitable land, 9789.43 ha of highly suitable land, and 1140.76 ha of moderately suitable land in the Savur district. In order to determine the accuracy of the study model, ROC (Receiver Operating Characteristic) analysis was conducted. As a result of the validation analysis, the constructed model had an Area Under the Curve (AUC) of 0.911, which indicates an excellent fit between the model and reality; therefore, the model is acceptable. This study demonstrates that integrating AHP and GIS can aid agricultural land use planning and decision-making.en_US
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dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.citationcount0
dc.identifier.doi10.1038/s41598-025-87110-8
dc.identifier.issn2045-2322
dc.identifier.issue1en_US
dc.identifier.pmid39837935
dc.identifier.scopus2-s2.0-85216536182
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1038/s41598-025-87110-8
dc.identifier.urihttps://hdl.handle.net/20.500.12514/6086
dc.identifier.volume15en_US
dc.identifier.wosWOS:001403054300028
dc.identifier.wosqualityQ2
dc.institutionauthorMercan, Cagri
dc.language.isoenen_US
dc.publisherNature Portfolioen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAgricultural Planningen_US
dc.subjectAnalytic Hierarchy Process (Ahp)en_US
dc.subjectGeographic Information Systems (Gis)en_US
dc.subjectSite Selectionen_US
dc.subjectSpatial Analysisen_US
dc.titleAssessment of Walnut (juglans Regia L.) Cultivation Land Suitability Using a Multiple-Criteria Decision-Making Method in Southeastern Turkeyen_US
dc.typeArticleen_US
dspace.entity.typePublication

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