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This package offers convenient access to a new and extensive databasecontaining a list of 7815 endemic plant species found in Peru. Thiscomprehensive collection provides detailed botanical information,including accepted names, family, authorship, publication details, andthe place and date of first publication for each species.

The construction of the ppendemic package is built upon valuable datasourced from the renownedWorld Checklist of Vascular Plants (WCVP)database. As a highly authoritative resource, WCVP offers comprehensiveinformation on plant taxonomy and occurrence worldwide. Leveraging thisdata, theppendemic package aims to present an up-to-date and novelcompilation of Peru’s endemic plant species, tailored to the diverseecosystems of the region. By incorporating meticulously curated datafrom WCVP, this package offers users a reliable and accurate resource toexplore, analyze, and gain deeper insights into the rich diversity ofPeru’s endemic flora.

Representing a significant advancement in our understanding of Peru’sendemic plant species, theppendemic package update the previouslyknown list of 5,507 species presented in the Red Book of Endemic Plantsof Peru, bringing the total to an impressive 7815 species. Thissubstantial increase in documented endemic species is a testament to theintegration of data and the commitment to presenting the most up-to-dateinformation. With this expanded and current database, researchers,conservationists, and nature enthusiasts alike can now delve into a morecomprehensive and accurate account of Peru’s unique and diverse plantbiodiversity. Theppendemic package stands as a valuable resource foranyone interested in the study, conservation, and appreciation of Peru’sendemic plant life.

The database spans a total of 165 families, with particular richnessobserved in the Orchidaceae, Asteraceae, Piperaceae, Fabaceae,Bromeliaceae, Solanaceae, Melastomataceae, Cactaceae, Araceae, Rubiaceaefamilies, all of which boast the highest number of endemic species inPeru.

You can install theppendemic package from CRAN using:

install.packages("ppendemic")# orpak::pak("ppendemic")

Also you can install theppendemic package from GitHub using thefollowing command:

pak::pak("PaulESantos/ppendemic")

After installing theppendemic package, you can load it into your Rsession using:

library(ppendemic)

• Useis_ppendemic() to check if taxa are endemic

splist<- 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"

• Theis_ppendemic() function is designed to work seamlessly withtibbles, allowing users to easily analyze and determine the endemicstatus 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 theppendemic package, please use:

citation("ppendemic")#> To cite ppendemic in publications use:#>#>   Santos-Andrade PE, Vilca-Bustamante LL (2024). 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 = {2024},#>     doi = {10.5281/zenodo.5106619},#>     url = {https://paulesantos.github.io/ppendemic/},#>   }