ArticleBiodiversity data journal2026
How similar are species names and why does this matter for biodiversity data.
Article in Biodiversity data journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
Standardising taxonomic names is an essential step in biodiversity studies to ensure robust data aggregation under the most recent accepted species nomenclature. Fuzzy (inexact) matching is widely used in this process to detect correspondences between scientific names that differ due to alternative spelling or orthographic mistakes. Such an approach assumes that species names are sufficiently distinct such that names differing in just a few characters in fact refer to the same taxon, but this has rarely been evaluated. Across c. 230,000 marine species names, we show that name similarity is common: 19.34% of specific epithets differ by three or fewer edits from another epithet within the same genus. Shared epithets are also widespread within and across phyla, occurring in 73% of all marine species; in 6.05% of these cases, the associated genera differ by three or fewer edits. This level of similarity increases the risk of incorrect matches, limiting the reliability of automated text-string tools in biodiversity big data analyses and highlighting the importance of combining post-matching filters with systematic and authorship information in taxonomic workflows to support name resolution beyond orthographic similarity.
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