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Land capability evaluation using NRCS agricultural land evaluation and site assessment (LESA) system in a semi-arid region of Iran

机译:利用NRC农业土地评估和站点评估(LESA)系统在伊朗半干旱地区的土地能力评估

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摘要

To achieve the sustainable agriculture, land capability evaluation in an accurate manner is essential. It also plays an important role to determine either the main potentials or associated limitations of the land. This research aimed to apply the NRCS agricultural land evaluation and site assessment (LESA) system integrated with GIS for classifying and mapping the capability of some calcareous soils in central of Iran as a semi-arid region for agricultural production purposes. The aforementioned model includes two sections: (1) LE and (2) SA. The first section contains soil productivity index and prime farmland, while the second one includes the effect of non-soil characteristics, development pressures, and public values on farming practices. The results showed that the specific weights for LE and SA sections were calculated 0.4 and 0.6, respectively. Integrating LESA outputs with GIS revealed that the 5.34%, 20.85%, 38.38%, and 35.42% of the studied area were, respectively, classified as "best", "good", "marginal", and "not-suitable" area for agriculture productions. The marginal and not-suitable lands can be considered for developing the rangelands, agroforestry, as well as shrubs. It was concluded that the created thematic maps assist decision-makers for land-use planning and risk-based management for agriculture productions.
机译:为实现可持续农业,以准确的方式进行土地能力评估至关重要。它还发挥着重要作用,以确定土地的主要潜力或相关局限性。该研究旨在将NRC农业土地评估和现场评估(LESA)系统与GIS进行分类和绘制伊朗中部某些钙质土壤的能力,作为农业生产目的的半干旱地区。上述模型包括两个部分:(1)Le和(2)SA。第一部分含有土壤生产率指数和主要农田,而第二个部分包括非土壤特征,发展压力和公共价值对农业实践的影响。结果表明,分别计算0.4和0.6的LE和SA切片的特定重量。将Lesa输出与GIS集成显示,研究区的5.34%,20.85%,38.38%和35.42%分别为“最佳”,“好”,“边缘”和“不适合”区域农业生产。可以考虑利用边缘和不适合的土地,以便开发牧场,农林美味以及灌木。得出的结论是,创建的专题地图协助决策者进行土地使用规划和基于风险的农业生产管理。

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