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Fuzzy and Boolean operation based modelling for evaluation of ecological capability in the Hyrcanian Forests

机译:基于模糊和布尔运算的睫毛林生态能力评价模型

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摘要

Over the past four decades, management plan based on the Boolean Ecological Capability model has caused major problems in the management of the Hyrcanian Forests. The aim of this study is to evaluate ecological capability of five proposed sites including Golestan National Park, Afra Takhteh Yew Forest, Kojoor Forest, Cypress Woodland of Hassanabad-e Chalous, Lomer forest along the Hyrcanian region from east to west, using both Boolean and fuzzy logic and to compare these two models. A total of 10 important factors including slope, aspect, elevation, soil types, soil erosion, soil transformation, canopy cover, the value of species, distance to streams and climate were investigated in this study. The results show that elevation, slope and aspect havethe most important role in the classification of the studied area. The results of model validation with field data indicate that the fuzzy gamma model shows the better assessment, accuracy and reliability compared to the Boolean model. Based on the obtained results we suggest the fuzzy-based operation model in sustainable protection planning in the Hyrcanian Forests.
机译:在过去的四十年中,基于布尔生态能力模型的管理计划导致了雪冬森林管理中的重大问题。本研究的目的是评估五个拟议地点的生态能力,包括GoLestan国家公园,AFRA Takhteh Yew森林,Kojoor Forest,Hassanabad-e Chalous,Lomer Forest的赛普拉斯林,沿东尔向西的Hasnanabad-E的莱姆林,使用Boolean和模糊逻辑并比较这两种型号。共有10个重要因素,包括坡,方面,海拔,土壤类型,土壤侵蚀,土壤转化,冠层覆盖,物种价值,在本研究中研究了溪流和气候的距离。结果表明,海拔,坡度和方面在研究区的分类中有最重要的作用。与现场数据的模型验证结果表明,与布尔模型相比,模糊伽玛模型显示了更好的评估,准确性和可靠性。基于所得的结果,我们建议在海林森林中的可持续保护规划中的基于模糊的运营模式。

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