Kılıc Orhan Mete, Ersayın Kemal, Gunal Hikmet, Khalofah Ahlam, Alsubeie Moodi Saham
Tokat Gaziosmanpasa University, Arts and Science Faculty, Department of Geography, Tokat, Turkey.
Harran University, Agriculture Faculty, Department of Soil Science and Plant Nutrition, Şanlıurfa, Turkey.
Saudi J Biol Sci. 2022 Apr;29(4):2634-2644. doi: 10.1016/j.sjbs.2021.12.050. Epub 2021 Dec 23.
Land suitability classification is a useful management practice to ensure planned and sustainable use of agricultural lands according to their potentials. The main purposes of this study were to analyze land suitability for bread wheat () cultivation and generate a land suitability map for wheat by integrating the analytical hierarchy (AHP)-fuzzy algorithm with the Geographical Information System (GIS) in the Tozanlı sub-basin located in the upper part of Yeşilırmak Basin, Turkey. Topographic (elevation, slope, aspect) characteristics of the basin and some of physical and chemical properties of soils (texture, pH, electrical conductivity, lime, organic matter, and soil depth) were used as criteria in determining the suitability classes. Ninety-two disturbed soil samples were collected from 0 to 20 cm depth in October 2017 using random sampling method. Weighted overlay spatial analysis in GIS was used to combine different thematic layers to identify areas suitable for wheat production. The fuzzy-AHP suitability assessment model was adapted to determine the weights for topographic and soil properties. The highest specific weights were obtained for soil depth (0.232) and elevation (0.218), while the lowest weight was calculated for aspect (0.042). Highly, moderately, and marginally suitable lands for wheat cultivation cover 2.63, 9.85 and 32.59% of the study area, respectively. In addition, the results indicated that 54.92% of the total area is permanently unsuitable for wheat cultivation. The results revealed that integration of AHP-fuzzy algorithm and GIS techniques is a useful method for accurate evaluation of land suitability in planning for specific crop production and decreasing the negative environmental impacts of agricultural practices.
土地适宜性分类是一种有用的管理措施，可确保根据农业用地的潜力进行有计划的可持续利用。本研究的主要目的是分析面包小麦（）种植的土地适宜性，并通过将层次分析法（AHP）-模糊算法与地理信息系统（GIS）相结合，在土耳其叶希尔河盆地上游的托赞勒子流域生成小麦土地适宜性地图。盆地的地形（海拔、坡度、坡向）特征以及土壤的一些物理和化学性质（质地、pH值、电导率、石灰、有机质和土壤深度）被用作确定适宜性等级的标准。2017年10月，采用随机抽样方法，从0至20厘米深度采集了92个扰动土壤样本。利用GIS中的加权叠加空间分析方法，将不同的专题图层进行组合，以确定适合小麦生产的区域。采用模糊层次分析法适宜性评估模型来确定地形和土壤属性的权重。土壤深度（0.232）和海拔（0.218）的权重最高，而坡向的权重最低（0.042）。高度、中度和勉强适宜小麦种植的土地分别占研究区域的2.63%、9.85%和32.59%。此外，结果表明，总面积的54.92%永久不适宜小麦种植。结果表明，层次分析法-模糊算法与GIS技术的结合是一种在规划特定作物生产时准确评估土地适宜性、减少农业活动对环境负面影响的有用方法。
