ppendemic_tab15: ppendemic_tab15: Endemic Plant Database of Peru (based on...
In ppendemic: A Glimpse at the Diversity of Peru's Endemic Plants

ppendemic_tab15

R Documentation

ppendemic_tab15: Endemic Plant Database of Peru (based on WCVP v15)

Description

The ppendemic_tab15 dataset is a tibble (data frame) providing a curated and taxonomically validated list of vascular plant species that occur exclusively in Peru. The dataset is derived from version 15 of the World Checklist of Vascular Plants (WCVP), facilitated by the Royal Botanic Gardens, Kew, and corresponds to the extraction performed on 06 January 2026.

Usage

ppendemic_tab15

Format

A tibble (data frame) with 7,892 rows and 18 columns:

taxon_name: Character vector. The full scientific name of the accepted endemic species (binomial or trinomial), constructed from genus, species and, where applicable, infraspecific epithets, following WCVP standards.
taxon_status: Character vector. The taxonomic status of the name according to WCVP (e.g., "Accepted").
family: Character vector. The botanical family to which the endemic taxon belongs, following WCVP family circumscription.
Genus: Character vector. The genus name of the endemic taxon.
Species: Character vector. The specific epithet of the endemic taxon.
infraspecific_rank: Character vector. The infraspecific rank (e.g., "subsp.", "var.") when applicable.
infraspecies: Character vector. The infraspecific epithet when applicable.
taxon_authors: Character vector. The standardized authorship of the taxon name, concatenating parenthetical and primary authors following botanical nomenclature conventions.
primary_author: Character vector. The author(s) who validly published the scientific name.
place_of_publication: Character vector. The journal, book or other publication in which the taxon name was effectively published.
volume_and_page: Character vector. The volume and page reference of the original publication of the taxon name (e.g., "13(2): 99").
first_published: Character vector. The year of publication of the name, enclosed in parentheses, as reported by WCVP.
year_actual: Numeric vector. The actual year of publication extracted from first_published.
year_nominal: Numeric vector. The nominal year of publication extracted from first_published.
both_years: Character vector. A concatenation of actual and nominal years when these differ (format "YYYY|YYYY").
has_different_years: Logical vector. Indicates whether the actual and nominal publication years differ.
version: Character vector. The database version identifier "V-15", corresponding to WCVP version 15.
version_date: Character vector. The extraction date of the WCVP source dataset ("06-01-2026").

Details

This database contains only accepted endemic species names, following the taxonomic backbone of WCVP and filtered by geographic distribution records indicating occurrence restricted to Peru.

The dataset was constructed from the World Checklist of Vascular Plants (WCVP) version 15, a continuously updated global taxonomic resource curated by the Royal Botanic Gardens, Kew. Only taxa of rank species and below with accepted status were considered.

Geographic distribution fields from WCVP were used to identify taxa whose native range is restricted exclusively to Peru. Introduced, cultivated, misapplied, synonymic and unplaced names were excluded.

The nomenclature, authorship, family assignment and publication details strictly follow the International Code of Nomenclature for algae, fungi and plants (ICN) and WCVP editorial standards.

Temporal metadata was processed to extract both nominal and actual publication years, allowing detailed historical bibliographic analysis of Peruvian endemic flora.

Source

Data derived from:

Govaerts, R. (ed.). 2026. WCVP: World Checklist of Vascular Plants. Facilitated by the Royal Botanic Gardens, Kew. Version 15. Extracted 06 January 2026. https://doi.org/10.34885/rvc3-4d77

For methodological details:

Govaerts, R., Nic Lughadha, E., et al. (2021). The World Checklist of Vascular Plants, a continuously updated resource for exploring global plant diversity. Scientific Data, 8, 215. https://doi.org/10.1038/s41597-021-00997-6