Abstract

Zagros Forest region plays an important role in conserving water and soil resources in Iran. In recent decades, the destructions caused by natural and anthropogenic factors had exacerbated soil erosion in this region. Therefore, it is important to investigate the effects of restoration management on soil erosion control in the region. In this regard, it is also important using the fuzzy inference systems to convert the qualitative index of soil erodibility into a quantitative index with the possibility to analyze the results based on the principles of parametric statistics. This study was conducted in 804 ha of Zagros forests in western Iran. Soil erosion was studied in closed and unclosed forested zones by 40 randomly selected sample profiles (20 profiles per each zone) using the FAO (Boolean logic) and FAO-Fuzzy models. The fuzzy inference of research was carried out according to the Mamdani system based on the triangular membership function. Results showed that the difference between the mean soil erodibility in the closed and unclosed zones was significant (p < 0.01). The results also showed in spite of differences between FAO-Fuzzy model indices with FAO model in all sample, the direction of these differences does not show any considerable decreasing or increasing trend. Considering the prominent features of fuzzy logic that enables data analysis in quantitative and continuous form of numbers, it is suggested to use fuzzy logic capability in FAO model and other soil erosion estimation models based on Boolean classification logic. Finally, the study demonstrated the effectiveness of “closing management” to control soil erosion on steep degrading lands in the region.

中文翻译：

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使用FAO模糊模型在伊朗Dinarkouh的封闭和非封闭森林区评价土壤侵蚀性。

摘要

扎格罗斯森林地区在保护伊朗的水土资源方面发挥着重要作用。近几十年来，自然和人为因素造成的破坏加剧了该地区的水土流失。因此，重要的是要研究恢复管理对该地区水土流失控制的影响。在这方面，使用模糊推理系统将土壤可蚀性的定性指标转换为定量指标，并有可能根据参数统计原理分析结果也很重要。这项研究是在伊朗西部804公顷的Zagros森林中进行的。使用FAO（布尔逻辑）和FAO-Fuzzy模型，通过40个随机选择的样本剖面图（每个区域20个剖面图）在封闭和未封闭的森林地区研究了土壤侵蚀。根据基于三角隶属函数的Mamdani系统进行了模糊的研究推断。结果表明，封闭区和非封闭区的平均土壤可蚀性之间存在显着差异（p <0.01）。结果还显示，尽管所有样本中的粮农组织模糊模型指数与粮农组织模型之间都存在差异，但这些差异的方向并没有显示出任何明显的下降或上升趋势。考虑到模糊逻辑的显着特征，可以用数字进行定量和连续形式的数据分析，建议在粮农组织模型和其他基于布尔分类逻辑的土壤侵蚀评估模型中使用模糊逻辑功能。最后，该研究证明了“封闭管理”在控制该地区陡峭退化土地上的水土流失方面的有效性。