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LTER-LIFE / FDFDT

FAIR Data for Digital Twins
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Check how much counts of usage of different authorship information differ (Global names resolver) #12

Closed CherineJ closed 2 months ago

CherineJ commented 2 months ago

For taxa that come with different authorship information when queried from GBIF (or other taxonomies), the R package taxize offers a function taxize::gnr_resolve that searches for the input term in all underlying taxonomies. This allows to count how often each author information is used throughout all the taxonomies and then filter for the one that is used most often. However, we have to check again whether the most common name is actually by far the most commonly used or whether frequencies of different names only differ slightly.

CherineJ commented 2 months ago

For all of the 8 species of the CLUE data for which we use the GNR, there is a clear peak in counts for the most commonly used name. If the second most common name has only a slightly lower count, it is always the taxon name without any author information at all (i.e., genus + specificEpithet).