Statistical Analysis of Results of Parametric Methods and Almagra Model in Land Suitability Evaluation

Document Type : Research Paper

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Abstract

Land evaluation is an important step in soil surveying and developing the sustainable agriculture. In this research three methods: Storie, Square root and Almagra model were used to evaluate the qualitative suitability of wheat, maize, potato and soybean for 9000 ha in Ahar area located in the East Azerbaijan province. The study was conducted using a factorial experiment based on completely randomized design to assess the efficiency of each of the mentioned procedures for the studied land-use types. The results showed that the area was more suitable for wheat, maize, potato and soybean, respectively. Also, suitability classes suggested by the Almagra model were higher as compared with parametric methods. Assessing the interaction effect between land-use type and different approaches revealed that Almagra model had the best suitability in comparison with square root and that than storie. Furthermore, the cause can be due to both the nature of Almagra model that acts based on simple limitation and number and no impact of climate on classification. Therefore, it is clear that Almagra model application is only possible for soil suitability evaluation while for land suitability evaluation must be used after Terraza and Cervatana models usage. However, in the case of no climatic limitation soil evaluation results will be equal with land suitability evaluation. Interaction of land-use and soil type also indicated that above mentioned methods may have different different efficiencies in various soils. The cause of higher range for the land suitability by Almagra can be attributed to the effect of soil matrix properties on limitation types. Integrating the Almagra model and the output from parametric methods with using GIS can produce geo-referenced thematic maps with high accuracy which will increase understanding and interpretation of land suitability for different crops.

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Water and Soil Science
Volume 21, Issue 4 - Serial Number 4
February 2011
Pages 65-80

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