Gereau, Roy, Burgess, Neil, Fjeldså, Jon et al. (9 more authors) (2013) Phylogenetic patterns of extinction risk:the need for critical application of appropriate datasets. PeerJ PrePrints. e55v1. ISSN 2167-9843
Abstract
In order to conduct a replicable analysis of the possible phylogenetic patterns of extinction risk, one must first formulate a clear set of definitions of ecosystem boundaries and risk categories. Subsequently, a robust and internally consistent dataset that includes all the available information on species distributions and risk assessments must be assembled. Here, we review the dataset and methodology of a recent paper focused on phylogenetic patterns of plant extinction risk in the Eastern Arc Mountains of Kenya and Tanzania and point out some of the limitations of inferring such patterns from inadequate and biased data. We show that bias in the dataset is probably responsible for the conclusion that Vulnerable species are more closely related than expected by chance, and provide guidelines for the construction of an appropriate dataset for such an analysis.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2013 Gereau et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Environment and Geography (York) |
Depositing User: | Pure (York) |
Date Deposited: | 28 Mar 2014 12:00 |
Last Modified: | 07 Feb 2025 00:11 |
Published Version: | https://doi.org/10.7287/peerj.preprints.55v1 |
Status: | Published |
Refereed: | No |
Identification Number: | 10.7287/peerj.preprints.55v1 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:76450 |
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Description: Phylogenetic patterns of extinction risk the need for critical application of appropriate datasets