dc.contributor.author |
Matzke, Nicholas |
en |
dc.date.accessioned |
2018-10-08T01:32:59Z |
en |
dc.date.issued |
2013 |
en |
dc.identifier.citation |
Frontiers of Biogeography 5(4):242-248 2013 |
en |
dc.identifier.issn |
1948-6596 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/39338 |
en |
dc.description.abstract |
Historical biogeography has been characterized by a large diversity of methods and unresolved debates about which processes, such as dispersal or vicariance, are most important for explaining distributions. A new R package, BioGeoBEARS, implements many models in a common likelihood framework, so that standard statistical model selection procedures can be applied to let the data choose the best model. Available models include a likelihood version of DIVA (“DIVALIKE”), LAGRANGE’s DEC model, and BAYAREA, as well as “+J” versions of these models which include founder-event speciation, an important process left out of most inference methods. I use BioGeoBEARS on a large sample of island and non-island clades (including two fossil clades) to show that founder-event speciation is a crucial process in almost every clade, and that most published datasets reject the non-J models currently in widespread use. BioGeoBEARS is open-source and freely available for installation at the Comprehensive R Archive Network at http://CRAN.R-project.org/package=BioGeoBEARS. A step-by-step tutorial is available at http://phylo.wikidot.com/biogeobears. |
en |
dc.relation.ispartofseries |
Frontiers of Biogeography |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
en |
dc.title |
Probabilistic historical biogeography: new models for founder-event speciation, imperfect detection, and fossils allow improved accuracy and model-testing |
en |
dc.type |
Journal Article |
en |
pubs.issue |
4 |
en |
pubs.begin-page |
242 |
en |
pubs.volume |
5 |
en |
dc.rights.holder |
Copyright: The author |
en |
pubs.author-url |
https://escholarship.org/uc/item/44j7n141 |
en |
pubs.end-page |
248 |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
729421 |
en |
pubs.org-id |
Science |
en |
pubs.org-id |
Biological Sciences |
en |
pubs.record-created-at-source-date |
2018-03-07 |
en |