Land Use Designation for Agricultural and Non-Agricultural Purposes by MicroLEIS DSS

Servati, Moslem; Jafarzadeh, Ali Asghar; Shahbazi, Farzin; Mohammadi, Hassan; Teimourpour, Niloofar

Land Use Designation for Agricultural and Non-Agricultural Purposes by MicroLEIS DSS

Document Type : Complete scientific research article

Authors

¹ assistant prof. of university of urmia

² prof. of university of Tabriz

³ Associated. Prof., of university of Tabriz

⁴ M.Sc student, Soil Science Department, University of Shahed

Abstract

Irrigular land use, land degradation and increasing yield per surface area unit supplicate to be inevitable optimal land utilization.So land evaluation, planning and management to be necessary to achieve a sustainabledevelopment.Following this trend, MicroLEIS (Mediterranean Land Evaluation Information System)has evolved towards an agro-ecological decision support system.The goal of this study is land planning of some parts of Khajehregion. Soil morphological and analytical data were carried out for 26 land units.Then, bioclimatic deficiency, land capability and qualitative land suitability (For Sunflower, Maize and Melon) and forest or paeture were determinedusing MicroLESE models. Based on Terraza model, rainfed cultivation is possible with less than 20% yield reduction for all crops except maize.Based on Cervatana model 9 land units (27.8 of total area) of were categorizedas S3 and N and 17 land units (72.2 of total area) were classified as S1 and S2.Land suitability evaluation of susceptible lands using Almagra model revealed that 18.1, 39.9, and 13.2 can take place in moderately suitable (S3), suitable (S2) and excellent (S1)respectively.Results of applying Sierra model, were obtained any forest species communities suitable for the study area.Therefore, withinthe framework of the land evaluation decision supportsystem MicroLEIS, a data processing tool (Sierra‌2 model)was developed for evaluating the relative suitability speciesand 5 species is suitable for this land units. Finally, MicroLEIS DSS appears to be useful in semi-arid regions, for example Khajeh, to formulate sustainable agricultural systems.

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