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Applying Fuzzy Logic to Comparative Distribution Modelling: A Case Study with Two Sympatric Amphibians

机译:模糊逻辑在比较分布模型中的应用:以两个同伴两栖动物为例

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摘要

We modelled the distributions of two toads (Bufo bufo and Epidalea calamita) in the Iberian Peninsula using the favourability function, which makes predictions directly comparable for different species and allows fuzzy logic operations to relate different models. The fuzzy intersection between individual models, representing favourability for the presence of both species simultaneously, was compared with another favourability model built on the presences shared by both species. The fuzzy union between individual models, representing favourability for the presence of any of the two species, was compared with another favourability model based on the presences of either or both of them. The fuzzy intersections between favourability for each species and the complementary of favourability for the other (corresponding to the logical operation “A and not B”) were compared with models of exclusive presence of one species versus the exclusive presence of the other. The results of modelling combined species data were highly similar to those of fuzzy logic operations between individual models, proving fuzzy logic and the favourability function valuable for comparative distribution modelling. We highlight several advantages of fuzzy logic over other forms of combining distribution models, including the possibility to combine multiple species models for management and conservation planning.
机译:我们使用偏爱度函数对伊比利亚半岛的两只蟾蜍(蟾蜍和Epi蒲)的分布进行了建模,这使得对不同物种的预测可直接比较,并允许模糊逻辑运算关联不同的模型。将代表两个物种同时存在的好感度的各个模型之间的模糊相交与基于两个物种共有的存在性的另一个好感度模型进行了比较。代表两个物种中任何一个物种的存在的偏爱的个体模型之间的模糊联合,与基于它们中一个或两个都存在的另一个宠爱度模型进行了比较。将每种物种的偏好与另一物种的偏好的互补关系(对应于逻辑运算“ A而非B”)之间的模糊交集与一种物种的排他性存在与另一物种的排他性存在的模型进行了比较。组合物种数据的建模结果与各个模型之间的模糊逻辑运算结果非常相似,证明了模糊逻辑和有利性函数对于比较分布建模非常有价值。与其他形式的组合分布模型相比,我们强调了模糊逻辑的几个优点,包括可以将多个物种模型组合在一起进行管理和保护计划的可能性。

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