Learn R Programming

rangeBuilder (version 1.6)

getAcceptedFromSynonym: Get accepted from synonyms

Description

Returns the accepted taxon names that are associated with the synonym

Usage

getAcceptedFromSynonym(sp, db)

Value

getAcceptedFromSynonym returns the accepted names that have the specified species name as a synonym (as per strict matching).

Arguments

sp

genus and species

db

appropriate synonyms database: squamates, birds, mammals, amphibians The workhorse function for matching synonyms to accepted names is synonymMatch. The function here is simpler, and is intended to be complementary to the main matching function.

The squamate database is a local copy of the Reptile Database (http://reptile-database.reptarium.cz/), which will be updated periodically. The list of accepted names within this R package are those that are listed as such on the website.

The bird database is the BirdLife Taxonomic Checklist v8.0 as downloaded from http://datazone.birdlife.org/species/taxonomy.

The mammal database is Wilson and Reeder's Mammal Species of the World, 3rd edition, downloaded from http://www.departments.bucknell.edu/biology/resources/msw3/.

The amphibian database is a local copy of the AmphibiaWeb taxonomy (https://amphibiaweb.org/taxonomy/index.html), which will be updated periodically.

To see when these datasets were last updated for this R package, run downloadDates.

Citation:

BirdLife International. 2015. The BirdLife checklist of the birds of the world: Version 8. Downloaded from http://datazone.birdlife.org/species/taxonomy [.xls zipped 1 MB].

Don E. Wilson & DeeAnn M. Reeder (editors). 2005. Mammal Species of the World. A Taxonomic and Geographic Reference (3rd ed), Johns Hopkins University Press, 2,142 pp.

Uetz P., Hosek, J. (ed.). 2016. The Reptile Database, /urlhttp://www.reptile-database.org (accessed 30 April 2016).

Author

Pascal Title

See Also

synonymMatch

Examples

Run this code

getAcceptedFromSynonym('Phrynosoma_jamesi', db = 'squamates')

Run the code above in your browser using DataLab