Statistical analysis of the solitary bee’s species Megachile armaticeps

Abstract

Bees are fundamental at functioning of tropical ecosystems and are recognized for their economic importance. In Cuba, the apifauna is composed mostly of solitary bees, which gives this group a special value from the point of view of its conservation. The objective of this work is to create a logistic regression model that allows predicting the presence or absence of the Megachile armaticeps species, through different variables related to the environmental characteristics of its habitat. The results were obtained by applying the binary logistic regression model in the SPSS software version 21. It was obtained that temperature seasonality, precipitation of the wettest month, precipitation of the driest month and distance to the coast are the climatic properties that most influence its distribution.