Abstract

AbstractSustainable land use is vital for the increasing population’s food supply and global food security. The use of the soils in the world for agricultural purposes makes a significant contribution to both national and international food supply, while the remaining plays a crucial role in maintaining forested and semi-natural ecosystems. For this reason, it is important to determine suitable agricultural areas. Soils in the study area are used for agricultural areas at 27.49%, while 63.17% are designated for forest and semi-natural areas. This study’s aim is to locate suitable agricultural areas in the semiarid Isparta province using the linear combination technique (LCT), a multi-criteria analysis method that uses topographic data and national soil data. The weights of the parameters were determined using the analytic hierarchy process (AHP). The agricultural land suitability map generated by LCT was divided into five categories according to the land suitability classification determined by the United Nations Food and Agriculture Organization (FAO). It has been determined that 39.52% of the study area is for highly suitable (S1), moderately suitable (S2), and marginally suitable (S3) classes in the map of suitable agricultural areas using LCT. It is determined that 3991.24 ha of land in the S1 class, which shows the highly suitable areas for agriculture in the study area, was used as artificial surfaces. The results showed that the misuse of suitable agricultural lands increased in the study area. It was determined that artificial areas are expanding into agricultural areas, according to the CLC 2018 database. It shows that soil survey and mapping studies should be carried out according to soil classification systems such as Soil Taxonomy 2022, Land Use/Land Cover Area Frame Survey (LUCAS), and World Reference Base (WRB) 2022, for the determination and use of suitable agricultural lands in Türkiye.

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