<i>letsRept</i>: An R package to access the Global Reptile Database and facilitate taxonomic harmonization

Taxonomy is a highly dynamic science upon which most biodiversity studies rely. Constant revisions of species delimitation hypotheses, using ever-growing amounts of data and tools cause species numbers and identities to continuously and rapidly change. Reptiles are the most species rich terrestrial vertebrate group and are amongst the most threatened and least known vertebrate taxa, representing nearly half of all data deficient terrestrial vertebrate species. Every year hundreds of new species are described and dozens are revised, resulting in synonymizations, splittings, generic reassignments, or elevation from synonymy or from subspecies into species status. The nomenclature of this group is therefore highly dynamic and consequently, to integrate available reptile datasets generally requires extensive nomenclature review, especially for broad scale analyses. letsRept is a new R package that integrates the Reptile Database – the best curated and reliable global taxonomic reference for reptiles – into the R programming environment. Its main functions allow users to retrieve the most up-to-date taxonomic information in real time, to compare lists of species names to current nomenclature, and to detect names that have been changed by either lumping or splitting, all through web scraping techniques. Additional functions allow to produce quick taxonomic summaries, access species accounts, retrieve full reference lists and more. By permitting to embed the Reptile Database directly into R workflows, the letsRept package improves the integration of datasets from different sources, with authoritative taxonomy, reducing data loss due to nomenclature mismatch and improving the consistency in biodiversity analyses.

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Publication Details

Journal
Biodiversity Informatics
Published
2025-10-20
DOI
https://doi.org/10.17161/bi.v19i.24329
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00

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article

letsRept: An R package to access the Global Reptile Database and facilitate taxonomic harmonization

Javier Nori, Peter H Uetz, João Paulo dos Santos Vieira‐Alencar, H. Christoph Liedtke et al.
Biodiversity Informatics
Species Distribution and Climate Change
article

letsRept: An R package to access the Global Reptile Database and facilitate taxonomic harmonization

Javier Nori, Peter H Uetz, João Paulo dos Santos Vieira‐Alencar, H. Christoph Liedtke, Uri Roll, Shai Meiri
article en

Abstract

Taxonomy is a highly dynamic science upon which most biodiversity studies rely. Constant revisions of species delimitation hypotheses, using ever-growing amounts of data and tools cause species numbers and identities to continuously and rapidly change. Reptiles are the most species rich terrestrial vertebrate group and are amongst the most threatened and least known vertebrate taxa, representing nearly half of all data deficient terrestrial vertebrate species. Every year hundreds of new species are described and dozens are revised, resulting in synonymizations, splittings, generic reassignments, or elevation from synonymy or from subspecies into species status. The nomenclature of this group is therefore highly dynamic and consequently, to integrate available reptile datasets generally requires extensive nomenclature review, especially for broad scale analyses. letsRept is a new R package that integrates the Reptile Database – the best curated and reliable global taxonomic reference for reptiles – into the R programming environment. Its main functions allow users to retrieve the most up-to-date taxonomic information in real time, to compare lists of species names to current nomenclature, and to detect names that have been changed by either lumping or splitting, all through web scraping techniques. Additional functions allow to produce quick taxonomic summaries, access species accounts, retrieve full reference lists and more. By permitting to embed the Reptile Database directly into R workflows, the letsRept package improves the integration of datasets from different sources, with authoritative taxonomy, reducing data loss due to nomenclature mismatch and improving the consistency in biodiversity analyses.

Biodiversity InformaticsVol. 19
Ben-Gurion University of the Negev (IL), Tel Aviv University (IL), The University of Melbourne (AU), Universidad Nacional de Córdoba (AR), Virginia Commonwealth University (US), Estación Biológica de Doñana (ES), Universidade Federal do ABC (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Ministerio de Ciencia y Tecnología
Openalex Percentile: Top 83%
Species Distribution and Climate Change
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