Modeling and predicting species occurrence using broad-scale environmental variables: an example with butterflies of the Great Basin

Article Abstract:

The development of predictive models for the occurrence of resident butterflies in the central Great Basin of western North America as a function of easily quantified environmental variables using the Bayesian logistic regression is studied. The results show that the Bayesian-logistic model of species occurrence is more useful than conventional logistic models.

North America, Bayesian statistical decision theory, Bayesian analysis

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Validation tests of predicitve models of butterfly occurrence based on environmental variables

Article Abstract:

Research has been conducted on butterfly occurrence. The authors have developed the predictive models of this occurrence which is based on environmental variables, and they describe the models.

United States, Australia, Physiological aspects, Genetic aspects, Protection and preservation, Variation (Biology), Biogeography, Conservation biology

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Using Indicator Species to Predict Species Richness of Multiple Taxonomic Groups

Article Abstract:

A Bayesian approach and genetic algorithms are used to delineate combined and individual species richness for avian and butterfly populations.

Models, Biological diversity, Biodiversity, Indicators (Biology), Biological indicators

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