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A GIS-BASED MULTI-CRITERIA ANALYSIS ON CROPLAND SUITABILITY IN BORNUUR SOUM, MONGOLIA

机译:蒙古乡村苏姆姆农田适宜性的基于GIS的多标准分析

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Agriculture is one of the most critical sectors of the Mongolian economy. In Mongolia, land degradation is increasing in the cropland region, especially in a cultivated area. The country has challenges to identify new croplands with sufficient capacity for cultivation, especially for local decision-makers. GIS applications tremendously help science in making land assessments. This study was carried out in Bornuur soum, Mongolia. The goal of this study to estimate that best suitable area for supporting crop production in Bornuur soum, using a GIS-based multi-criteria analysis (MCA) and remote sensing. GIS-based multi-criteria analysis (MCA) has been widely used in land suitability analyses in many countries. In this research, the GIS-based spatial MCA among the Analytical Hierarchy Process (AHP) method has employed. The approach was enhanced for each criterion which as soil, topography and vegetation. The opinions of agronomist experts and a literature review helped in identifying criteria (soil data, topography, water and vegetation data) that are necessary to determine areas suitable for crops. The detailed cropland suitability maps indicate that 46.12 % is highly suitable for cropland, 34.68 % is moderate suitable, 13.64 % is marginal suitable and 5.56 % is not suitable. The MCA and AHP tools play an essential role in the multi-criteria analysis. Therefore, the results of these methods allow us to estimate an appropriate area for cultivation in Bornuur soum, Tuv province. The crop suitability method implies significant decisions on different levels and the result will be used for cropland management plan to make a decision. It is an integral role in agricultural management and land evaluation. Future research should further develop this method by including socio-economic (potential citizens for agriculture, current crop growth, water resource, etc.) and environmental variables (rainfall, vegetation types, permafrost distribution, etc.) to obtain specific results. However, it could be also be applied for a single crop type (mainly barley, wheat and potato) in Mongolia.
机译:农业是蒙古经济最关键的部门之一。在蒙古,土地退化在农田地区正在增加,特别是在耕地面积。该国有挑战,以确定具有足够培养能力的新农田,特别是对于当地决策者。 GIS应用程序在制定土地评估方面提供了极大的帮助。这项研究是在蒙古刺突的Soum进行的。本研究的目标是使用基于GIS的多标准分析(MCA)和遥感,估计用于在Bornuur Soum中支持作物生产的最佳合适区域。基于GIS的多标准分析(MCA)已广泛用于许多国家的土地适用性分析。在本研究中,基于GIS的空间MCA在分析层次过程(AHP)方法中使用。对于土壤,地形和植被的每个标准,该方法得到了增强。农艺师专家的意见和文献综述有助于确定确定适合作物的区域所必需的标准(土壤数据,地形,水和植被数据)。详细的农田适用性地图表明,46.12%适用于农田,34.68%适合适合,13.64%是边际合适的,5.56%不合适。 MCA和AHP工具在多标准分析中起重要作用。因此,这些方法的结果允许我们估算Tuv省造成苏姆省博彩省的适当区域。作物适用性方法意味着对不同层面的重大决策,结果将用于裁剪管理计划做出决定。它是农业管理和土地评估中的一个不可或缺的作用。未来的研究应该通过包括社会经济(农业潜在公民,当前作物生长,水资源等)和环境变量(降雨,植被类型,多年冻土分布等)来进一步发展这种方法,以获得特定的结果。然而,它也可以在蒙古的单一作物类型(主要大麦,小麦和土豆)应用。

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