Application of Agricultural Land Quality Index Based on Multi Criteria Decision Analysis
The aim of this study is to develop a land quality index (LQI) based on expert opinion and multi criteria decision support approaches specific to the region and to apply it on agricultural lands. The study was carried out in 7 soil series and 43 land units of Muğla-Dalaman General Directorate of A...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Siirt University
2019-10-01
|
| Series: | Türkiye Tarımsal Araştırmalar Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/pub/tutad/issue/48857/603503 |
| _version_ | 1797913284705255424 |
|---|---|
| author | Mert DEDEOĞLU Levent BAŞAYİĞİT Mahmut YÜKSEL |
| author_facet | Mert DEDEOĞLU Levent BAŞAYİĞİT Mahmut YÜKSEL |
| author_sort | Mert DEDEOĞLU |
| collection | DOAJ |
| description | The aim of this study is to develop a land quality index (LQI) based on expert opinion and multi criteria decision
support approaches specific to the region and to apply it on agricultural lands. The study was carried out in 7 soil series and
43 land units of Muğla-Dalaman General Directorate of Agriculture Management with an area of 3338.61 ha, representing
Mediterranean climate ecology. In this study, 13 indicators; I) Land: soil depth, slope, stoniness and drainage, ii) Physical:
available water capacity, bulk density, texture, iii) Chemical: pH, electrical conductivity (EC), organic matter content,
phosphors, potassium, and total nitrogen which are representative of one or more of the land and soil characteristics were
selected in the light of expert and literature knowledge. Analytical Hierarchy Process which is a multi-criteria decision
approach was used for pairwise comparisons of the indicators. As a result of the LQI assessment, 61.56% of the farmland was
classified as “very high” and “high” quality and the agricultural quality class of the 35.29% of the land was determined as
“low” and “very low” quality and mapped in a geographical information system environment. According to obtained results
it was determined that the final quality index values of the lands were affected by depth (12.5%), slope (12%), EC (11.1%)
and texture (10.7%) indicators with high weight coefficients. In addition, it has been suggested that areas with low agricultural
quality values can reach to high-quality classes with some improvement measures (development of drainage channels, the
addition of organic material, removal of stones). |
| first_indexed | 2024-04-10T12:09:29Z |
| format | Article |
| id | doaj.art-c92d9e646c5b42ff8f38da31d925fd0f |
| institution | Directory Open Access Journal |
| issn | 2148-2306 2528-858X |
| language | English |
| last_indexed | 2024-04-10T12:09:29Z |
| publishDate | 2019-10-01 |
| publisher | Siirt University |
| record_format | Article |
| series | Türkiye Tarımsal Araştırmalar Dergisi |
| spelling | doaj.art-c92d9e646c5b42ff8f38da31d925fd0f2023-02-15T16:16:05ZengSiirt UniversityTürkiye Tarımsal Araştırmalar Dergisi2148-23062528-858X2019-10-016329530710.19159/tutad.603503Application of Agricultural Land Quality Index Based on Multi Criteria Decision AnalysisMert DEDEOĞLU0Levent BAŞAYİĞİT1Mahmut YÜKSEL2Selçuk Üniversitesi, Ziraat Fakültesi, Toprak Bilimi ve Bitki Besleme Bölümü, Konya, TÜRKİYEIsparta Uygulamalı Bilimler Üniversitesi, Tarım Bilimleri ve Teknolojileri Fakültesi, Toprak Bilimi ve Bitki Besleme Bölümü, Isparta, TÜRKİYEAnkara Üniversitesi, Ziraat Fakültesi, Toprak Bilimi ve Bitki Besleme Bölümü, Ankara, TÜRKİYEThe aim of this study is to develop a land quality index (LQI) based on expert opinion and multi criteria decision support approaches specific to the region and to apply it on agricultural lands. The study was carried out in 7 soil series and 43 land units of Muğla-Dalaman General Directorate of Agriculture Management with an area of 3338.61 ha, representing Mediterranean climate ecology. In this study, 13 indicators; I) Land: soil depth, slope, stoniness and drainage, ii) Physical: available water capacity, bulk density, texture, iii) Chemical: pH, electrical conductivity (EC), organic matter content, phosphors, potassium, and total nitrogen which are representative of one or more of the land and soil characteristics were selected in the light of expert and literature knowledge. Analytical Hierarchy Process which is a multi-criteria decision approach was used for pairwise comparisons of the indicators. As a result of the LQI assessment, 61.56% of the farmland was classified as “very high” and “high” quality and the agricultural quality class of the 35.29% of the land was determined as “low” and “very low” quality and mapped in a geographical information system environment. According to obtained results it was determined that the final quality index values of the lands were affected by depth (12.5%), slope (12%), EC (11.1%) and texture (10.7%) indicators with high weight coefficients. In addition, it has been suggested that areas with low agricultural quality values can reach to high-quality classes with some improvement measures (development of drainage channels, the addition of organic material, removal of stones).https://dergipark.org.tr/tr/pub/tutad/issue/48857/603503analytical hierarchy processland quality indexexpert knowledgesoil seriessoil mapping |
| spellingShingle | Mert DEDEOĞLU Levent BAŞAYİĞİT Mahmut YÜKSEL Application of Agricultural Land Quality Index Based on Multi Criteria Decision Analysis Türkiye Tarımsal Araştırmalar Dergisi analytical hierarchy process land quality index expert knowledge soil series soil mapping |
| title | Application of Agricultural Land Quality Index Based on Multi Criteria Decision Analysis |
| title_full | Application of Agricultural Land Quality Index Based on Multi Criteria Decision Analysis |
| title_fullStr | Application of Agricultural Land Quality Index Based on Multi Criteria Decision Analysis |
| title_full_unstemmed | Application of Agricultural Land Quality Index Based on Multi Criteria Decision Analysis |
| title_short | Application of Agricultural Land Quality Index Based on Multi Criteria Decision Analysis |
| title_sort | application of agricultural land quality index based on multi criteria decision analysis |
| topic | analytical hierarchy process land quality index expert knowledge soil series soil mapping |
| url | https://dergipark.org.tr/tr/pub/tutad/issue/48857/603503 |
| work_keys_str_mv | AT mertdedeoglu applicationofagriculturallandqualityindexbasedonmulticriteriadecisionanalysis AT leventbasayigit applicationofagriculturallandqualityindexbasedonmulticriteriadecisionanalysis AT mahmutyuksel applicationofagriculturallandqualityindexbasedonmulticriteriadecisionanalysis |