ppendemic

Overview

This package offers convenient access to a new and extensive database containing a list of 7815 endemic plant species found in Peru. This comprehensive collection provides detailed botanical information, including accepted names, family, authorship, publication details, and the place and date of first publication 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. As a highly authoritative resource, WCVP offers comprehensive information on plant taxonomy and occurrence worldwide. 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, 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.

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 7815 species. This substantial increase in documented endemic species is a testament to the integration of data and the commitment to presenting the most up-to-date information. 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 ppendemic package stands as a valuable resource for anyone interested in the study, conservation, and appreciation of Peru’s endemic plant life.

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

Installation

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")

Getting Started

After installing the ppendemic package, you can load it into your R session using:

library(ppendemic)

• Use is_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"

• The 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

Citation

To cite the ppendemic 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/},
#>   }