Department of Industrial Engineering, Faculty of Engineering, Ondokuz Mayıs University, 55139, Samsun, Turkey.
Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Ondokuz Mayıs University, 55139, Samsun, Turkey.
Sci Rep. 2020 Dec 16;10(1):22074. doi: 10.1038/s41598-020-79105-4.
The main purpose of this study is to identify suitable potential areas for agricultural activities in the semi-arid terrestrial ecosystem in the Central Anatolia Region. MCDA was performed in fuzzy environment integrated with GIS techniques and different geostatistical interpolation models, which was chosen as the basis for the present study. A total of nine criteria were used, as four terrain properties and five soil features to identify potential sites suitable for agriculture lands in Central Anatolia which covers approximately 195,012.7 km. In order to assign weighting value for each criterion, FAHP approach was used to make sufficiently sensitive levels of importance of the criteria. DEM with 10 m pixel resolution used to determine the height and slope characteristics, digital geology and soil maps, CORINE land use/land cover, long-term meteorological data, and 4517 soil samples taken from the study area were used. It was identified that approximately 30.7% of the total area (59,921.8 ha) is very suitable and suitable for potential agriculture activities on S1 and S2 levels, 42.7% of the area is not suitable for agricultural uses, and only 27% of the area is marginally suitable for agricultural activities. Besides, it was identified that 34.8% of the area is slightly suitable.
本研究的主要目的是确定中安纳托利亚地区半干旱陆地生态系统中适合农业活动的潜在区域。在模糊环境中结合 GIS 技术和不同的地质统计学插值模型进行了多准则决策分析(MCDA),这是本研究的基础。总共使用了九个标准,包括四个地形属性和五个土壤特征,以确定中安纳托利亚地区约 195012.7 平方公里范围内适合农业用地的潜在地点。为了为每个标准分配权重值,使用 FAHP 方法来确定标准的充分敏感重要性级别。使用分辨率为 10 米的 DEM 来确定高度和坡度特征,数字地质和土壤图,CORINE 土地利用/土地覆盖,长期气象数据以及从研究区采集的 4517 个土壤样本。结果表明,约 30.7%的总面积(59921.8 公顷)在 S1 和 S2 级别上非常适合和适合潜在农业活动,42.7%的区域不适合农业用途,只有 27%的区域勉强适合农业活动。此外,还有 34.8%的区域适宜程度较低。