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Entomology

Masters Theses & Specialist Projects

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Description, Diversity, And Phylogeography Of The North American Spider Beetle (Coleoptera: Ptinidae) Genus Coleotestudo, Robert Chambliss Aug 2022

Description, Diversity, And Phylogeography Of The North American Spider Beetle (Coleoptera: Ptinidae) Genus Coleotestudo, Robert Chambliss

Masters Theses & Specialist Projects

A new genus, Coleotestudo, is proposed for the American species currently placed in the genus Niptus LeConte and are transferred herein. Two new species from Mexico are also described as C. potosi n. sp. and C. nahua n. sp. Distinguishing morphological characteristics for the North American Coleotestudo species are given. The combined set of morphological evidence, DNA sequence data, and a Western New World distribution strongly support the hypothesis that Coleotestudo does not share a recent common ancestor with N. hololeucus and both represent unrelated clades of spider beetles.

During the summer of 2021, Coleotestudo was collected mainly from …


Predictive Distributional Modeling Of Rare And Uncommon Stoneflies (Insecta: Plecoptera) Of The Central Appalachian Mountains Using Maximum Entropy, Phillip Nathaniel Hogan Jul 2021

Predictive Distributional Modeling Of Rare And Uncommon Stoneflies (Insecta: Plecoptera) Of The Central Appalachian Mountains Using Maximum Entropy, Phillip Nathaniel Hogan

Masters Theses & Specialist Projects

Predicting where rare species may be found is important in addressing and directing conservation efforts. Knowledge of the distribution for many of these taxa is often lacking or unknown altogether. The use of species distributional modeling fills gaps in this knowledge by predicting where a species may be present by taking a correlative approach between presence/pseudoabsences and environmental data. The aim of this study was to describe the distribution of several rare and uncommon aquatic insects using Maximum Entropy (MaxEnt) modeling as human influences within the central Appalachian Mountains are increasing and isolating pockets of biodiversity. Species distribution modeling of …