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Applying fuzzy logic to comparative distribution modelling: a case study with two sympatric amphibians.

机译:将模糊逻辑应用于比较分布建模: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 favourabilityfunction, which makes predictions directly comparable for different species and allows fuzzy logic operations to relatedifferent models. The fuzzy intersection between individual models, representing favourability for the presence of both speciessimultaneously, was compared with another favourability model built on the presences shared by both species. The fuzzy unionbetween individual models, representing favourability for the presence of any of the two species, was compared with anotherfavourabilitymodel based on the presences of either or both of them. The fuzzy intersections between favourability for each speciesand the complementary of favourability for the other (corresponding to the logical operation “A and not B”) were compared withmodels of exclusive presence of one species versus the exclusive presence of the other. The results of modelling combined speciesdata were highly similar to those of fuzzy logic operations between individual models, proving fuzzy logic and the favourabilityfunction valuable for comparative distribution modelling. We highlight several advantages of fuzzy logic over other forms ofcombining distribution models, including the possibility to combine multiple species models for management and conservationplanning.
机译:我们使用偏好性函数对伊比利亚半岛的两只蟾蜍(蟾蜍和and蒲)的分布进行了建模,这使得对不同物种的预测直接具有可比性,并允许对不同模型进行模糊逻辑运算。将代表同时存在两种物种的有利性的各个模型之间的模糊相交与基于两种物种共有的存在性的另一种有利性模型进行了比较。将代表两个物种中任何一个物种存在的有利性的各个模型之间的模糊联合与基于其中一个或两个都存在的另一个有利性模型进行了比较。比较了每种物种的偏好与另一种物种的互补性之间的模糊交集(对应于逻辑运算“ A而不是B”)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。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的结果高度相似,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。与其他形式的分布模型组合相比,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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