Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/106626
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Type: | Journal article |
Title: | Mapping phylogenetic endemism in R using georeferenced branch extents |
Author: | Guerin, G. Lowe, A. |
Citation: | SoftwareX, 2015; 3-4:22-26 |
Publisher: | Elsevier BV |
Issue Date: | 2015 |
ISSN: | 2352-7110 2352-7110 |
Statement of Responsibility: | Greg R. Guerin, Andrew J. Lowe |
Abstract: | Applications are needed to map biodiversity from large-scale species occurrence datasets whilst seamlessly integrating with existing functions in R. Phylogenetic endemism (PE) is a biodiversity measure based on range-restricted phylogenetic diversity (PD). Current implementations use area of occupancy (AOO) or frequency to estimate the spatial range of branch-length (i.e. phylogenetic range-rarity), rather than extent of occurrence (EOO; i.e. georeferenced phylogenetic endemism), which is known to produce different range estimates.We present R functions to map PD or PE weighted by AOO or EOO (new georeferenced implementation), taking as inputs georeferenced species occurrences and a phylogeny. Non-parametric statistics distinguish PD/PE from trivial correlates of species richness and sampling intensity. |
Keywords: | Phylogenetic diversity; phylogenetic endemism; area of occupancy; extent of occurrence; minimum convex polygon; R function; non-parametric statistics; interquartile range |
Rights: | © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/ by/4.0/). |
DOI: | 10.1016/j.softx.2015.10.002 |
Grant ID: | ARC |
Published version: | http://dx.doi.org/10.1016/j.softx.2015.10.002 |
Appears in Collections: | Aurora harvest 3 Environment Institute publications |
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hdl_106626.pdf | Published version | 526.04 kB | Adobe PDF | View/Open |
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