Author Archives: Barnabas Daru

About Barnabas Daru

Evolutionary Biogeographer

Fast Evolutionary Distinctiveness in R

Evolutionary distinctiveness is a metric that quantifies how isolated a species is on a phylogenetic tree – some species have few or no close living relatives. The standard method for calculating evolutionary distinctiveness is either by using the R package … Continue reading

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Congratulations to Jordan Rodriguez, Winner of GERS Undergraduate Presentation Award

Jordan emerged winner of the undergraduate student presentation at the 2020 Conference of the Gulf Estuarine Research Society (GERS). Jordan’s presentation at GERS addressed the issue of sampling biases in collections record by disentangling areas of mismatches and congruencies in … Continue reading

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Endemism patterns are scale dependent

The spatial variation of biodiversity patterns has for long fascinated biologists, yet our knowledge of how this phenomenon varies from local, regional and global scales have been predicated on models fitted to species richness, extinction risk or density dependence. As … Continue reading

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Island University Biology Professor Awarded National Science Foundation Grant as Part of Arctic Research Project 

A new collaborative research project led by a pair of researchers at the University of Arizona that includes team members from Duke University, North Carolina University and Texas A&M University-Corpus Christi has received funding by the National Science Foundation’s Division … Continue reading

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Phylogenetic Diversity for Large Datasets

1. Introduction Phylogenetic diversity is the sum of branch lengths connecting species into the root of a phylogenetic tree. We will demonstrate the ability of our new R package phyloregion to handle and execute large biogeographical datasets for analysis of … Continue reading

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Introduction to phyloregion R package

phyloregion An R package for biogeographic regionalization (the classification of geographical areas in terms of their biotas) and macroecology. With macroecological datasets of ever increasing size and complexity, phyloregion offers the possibility of handling and executing very large scale analysis … Continue reading

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