This package offers convenient access to a new and extensive database containing a list of 7,249 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 surpasses the
previously known list of 5,507 species presented in the Red Book of
Endemic Plants of Peru, bringing the total to an impressive 7,249
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 169 families, with particular richness observed in the Orchidaceae, Asteraceae, Piperaceae, Solanaceae, Fabaceae, Bromeliaceae, Melastomataceae, Araceae, Rubiaceae, and Gentianaceae families, all of which boast the highest number of endemic species in Peru.
You can install the ppendemic
package from CRAN
using:
install.packages("ppendemic")
# or
::pak("ppendemic") pak
Also you can install the ppendemic
package from GitHub
using the following command:
::pak("PaulESantos/ppendemic") pak
After installing the ppendemic
package, you can load it
into your R session using:
library(ppendemic)
is_ppendemic()
to check if taxa are endemic<- c("Aa aurantiaca", "Aa aurantiaaia",
splist "Werneria nubigena", "Piper politum var. politum",
"Miconia firma")
is_ppendemic(splist)
#> [1] "Aa aurantiaca is endemic"
#> [2] "Aa aurantiaca is endemic - fuzzy matching"
#> [3] "not endemic"
#> [4] "not endemic"
#> [5] "Miconia firma is endemic"
is_ppendemic()
function is designed to work
seamlessly with tibbles, allowing users to easily analyze and determine
the endemism status of species within a tabular format.
::tibble(splist = splist) |>
tibble::mutate(endemic = is_ppendemic(splist))
dplyr#> # A tibble: 5 × 2
#> splist endemic
#> <chr> <chr>
#> 1 Aa aurantiaca Aa aurantiaca is endemic
#> 2 Aa aurantiaaia Aa aurantiaca is endemic - fuzzy matching
#> 3 Werneria nubigena not endemic
#> 4 Piper politum var. politum not endemic
#> 5 Miconia firma Miconia firma is endemic
get_ppendemic_data()
function to retrieve
comprehensive taxonomic information.
get_ppendemic_data(splist = splist)
#> name_submitted accepted_name accepted_family accepted_name_author
#> 1 Aa aurantiaca Aa aurantiaca Orchidaceae D.Trujillo
#> 2 Aa aurantiaaia Aa aurantiaca Orchidaceae D.Trujillo
#> 3 Werneria nubigena nill nill nill
#> 4 Piper politum var. politum nill nill nill
#> 5 Miconia firma Miconia firma Melastomataceae J.F.Macbr.
#> publication_author place_of_publication volume_and_page
#> 1 <NA> Lankesteriana 11: 3
#> 2 <NA> Lankesteriana 11: 3
#> 3 nill nill nill
#> 4 nill nill nill
#> 5 <NA> Publ. Field Mus. Nat. Hist., Bot. Ser. 13(4): 411
#> first_published dist
#> 1 (2011) 0
#> 2 (2011) 2
#> 3 nill nill
#> 4 nill nill
#> 5 (1941) 0
To cite the ppendemic
package, please use:
citation("ppendemic")
#> To cite ppendemic in publications use:
#>
#> Santos-Andrade PE, Vilca-Bustamante LL (2023). ppendemic: A glimpse
#> at the diversity of Peru's endemic plants.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {ppendemic: A glimpse at the diversity of Peru's endemic plants},
#> author = {Paul Efren Santos Andrade and Lucely L. Vilca Bustamante},
#> year = {2023},
#> note = {R package version 0.1.6},
#> doi = {10.5281/zenodo.5106619},
#> url = {https://github.com/PaulESantos/ppendemic},
#> }