This package offers convenient access to a new and extensive database containing a list of 7898 endemic plant species found in Peru. This comprehensive collection provides detailed botanical information, including accepted names, family, genus, species, infraspecific taxonomy, authorship, publication details, and temporal information including both actual and nominal publication years for each species.
The construction of the ppendemic
package is built upon valuable data
sourced from the renowned World Checklist of Vascular Plants (WCVP)
database. The WCVP is an international collaborative programme initiated
in 1988 by Rafaël Govaerts that provides high-quality expert-reviewed
taxonomic data on all vascular plants. As a highly authoritative
resource updated daily, WCVP offers comprehensive information on plant
taxonomy and occurrence worldwide, serving as the taxonomic backbone for
World Flora Online (WFO) and being incorporated into the Catalogue of
Life Checklist via GBIF. Leveraging this data, the ppendemic package
aims to present an up-to-date and novel compilation of Peru’s endemic
plant species, tailored to the diverse ecosystems of the region.
By incorporating meticulously curated data from WCVP following the International Code of Nomenclature for algae, fungi, and plants (ICN), this package offers users a reliable and accurate resource to explore, analyze, and gain deeper insights into the rich diversity of Peru’s endemic flora. The latest version (V-14, dated 28-05-2025) includes enhanced temporal bibliographic information with sophisticated year extraction capabilities, distinguishing between actual and nominal publication years for improved citation accuracy.
Representing a significant advancement in our understanding of Peru’s endemic plant species, the ppendemic package update the previously known list of 5,507 species presented in the Red Book of Endemic Plants of Peru, bringing the total to an impressive 7898 species. This substantial increase in documented endemic species is a testament to the continuous integration of updated taxonomic data and the commitment to presenting the most current information available. With this expanded and current database, researchers, conservationists, and nature enthusiasts alike can now delve into a more comprehensive and accurate account of Peru’s unique and diverse plant biodiversity.
The database spans a total of 165 families, with particular richness observed in the Orchidaceae, Asteraceae, Piperaceae, Fabaceae, Solanaceae, Bromeliaceae, Melastomataceae, Cactaceae, Araceae, Rubiaceae families, all of which boast the highest number of endemic species in Peru. The enhanced dataset now includes 160 records where actual and nominal publication years differ, providing valuable insights into historical botanical publishing practices.
You can install the ppendemic
package from CRAN using:
install.packages("ppendemic")
# or
pak::pak("ppendemic")
Also you can install the ppendemic
package from GitHub using the
following command:
pak::pak("PaulESantos/ppendemic")
After installing the ppendemic
package, you can load it into your R
session using:
library(ppendemic)
#> This is ppendemic 0.1.9
is_ppendemic()
to check if taxa are endemicsplist <- c("Aa aurantiaca",
"Aa aurantiaaia",
"Werneria nubigena",
"Dasyphyllum brasiliense var. barnadesioides",
"Miconia firma",
"Festuca densiflora")
is_ppendemic(splist)
#> [1] "Endemic" "Endemic" "Not endemic" "Endemic" "Endemic"
#> [6] "Endemic"
is_ppendemic()
function is designed to work seamlessly with
tibbles, allowing users to easily analyze and determine the endemic
status of species within a tabular format.
tibble::tibble(splist = splist) |>
dplyr::mutate(endemic = is_ppendemic(splist))
#> # A tibble: 6 × 2
#> splist endemic
#> <chr> <chr>
#> 1 Aa aurantiaca Endemic
#> 2 Aa aurantiaaia Endemic
#> 3 Werneria nubigena Not endemic
#> 4 Dasyphyllum brasiliense var. barnadesioides Endemic
#> 5 Miconia firma Endemic
#> 6 Festuca densiflora Endemic
To cite the ppendemic
package, please use:
citation("ppendemic")
#> To cite ppendemic in publications use:
#>
#> Santos-Andrade PE, Vilca-Bustamante LL (2025). ppendemic: A glimpse
#> at the diversity of Peru's endemic plants.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> author = {Paul E. Santos Andrade and Lucely L. Vilca Bustamante},
#> title = {ppendemic: A glimpse at the diversity of Peru's endemic plants},
#> year = {2025},
#> doi = {10.5281/zenodo.5106619},
#> url = {https://paulesantos.github.io/ppendemic/},
#> }
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