The avesperu
package opens the door to Peru’s extraordinary birds, encompassing a dataset of 1,901 species, highlighting its status as one of the world’s most diverse bird-rich countries. This comprehensive R package now leverages the meticulously updated “List of the Birds of Peru” by M. A. Plenge, which has been revised and expanded to reflect the latest data as of 06 - 03 - 2024. However, it’s important to recognize that avian taxonomy is dynamic, undergoing significant changes over time.
The species list adheres to the taxonomic classification endorsed by the South American Checklist Committee (SACC), which assigns species codes reflecting various aspects such as residency status, endemism, migratory behavior, vagrancy, introductions, extirpation, and hypothetical presence. As of now, SACC is in the process of recognizing certain subspecies as full species, a development that will inevitably alter the species count.
Of particular note, the “H” category, representing hypothetical species, now holds the fifth position in South America’s ranking, following Argentina, Bolivia, Colombia, and Ecuador. However, this ranking may potentially decrease further with the publication of well-documented records, underscoring the ongoing evolution and refinement of avian taxonomy.
Suggested citation:
citation("avesperu")
#> To cite avesperu in publications use:
#>
#> Santos - Andrade, PE. (2024). avesperu: Access to the List of Birds
#> Species of Peru. R package version 0.0.2
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {avesperu: Access to the List of Birds Species of Peru},
#> author = {Paul E. Santos - Andrade},
#> year = {2024},
#> note = {R package version 0.0.2},
#> }
#>
#> To cite the avesperu dataset, please use: Plenge, M. A. Version
#> [06/03/2024] List of the birds of Peru / Lista de las aves del Perú.
#> Unión de Ornitólogos del Perú:
#> https://sites.google.com/site/boletinunop/checklist
You can install the avesperu
package from CRAN using:
Also you can install the development version of avesperu
like so:
Here’s a quick example of how to use the avesperu
package:
library(avesperu)
#> This is avesperu 0.0.2
splist <- c("Falco sparverius",
"Tinamus osgodi",
"Crypturellus sooui",
"Thraupisa palamarum",
"Thamnophilus praecox")
search_avesperu(splist = splist, max_distance = 0.05)
#> name_submitted accepted_name english_name
#> 1 Falco sparverius Falco sparverius American Kestrel
#> 2 Tinamus osgodi Tinamus osgoodi Black Tinamou
#> 3 Crypturellus sooui Crypturellus soui Little Tinamou
#> 5 Thamnophilus praecox Thamnophilus praecox Cocha Antshrike
#> spanish_name order family status dist
#> 1 Cernícalo Americano Falconiformes Falconidae Residente 0
#> 2 Perdiz Negra Tinamiformes Tinamidae Residente 1
#> 3 Perdiz Chica Tinamiformes Tinamidae Residente 1
#> 5 Batará de Cocha Passeriformes Thamnophilidae Residente 0
splist <- c("Falco sparverius",
"Tinamus osgodi",
"Crypturellus sooui",
"Thraupisa palamarum",
"Thraupisa palamarum",
"Thamnophilus praecox")
search_avesperu(splist = splist, max_distance = 0.1)
#> The following names are repeated in the 'splist': Thraupisa palamarum
#> name_submitted accepted_name english_name
#> 1 Falco sparverius Falco sparverius American Kestrel
#> 2 Tinamus osgodi Tinamus osgoodi Black Tinamou
#> 3 Crypturellus sooui Crypturellus soui Little Tinamou
#> 4 Thraupisa palamarum Thraupis palmarum Palm Tanager
#> 5 Thamnophilus praecox Thamnophilus praecox Cocha Antshrike
#> spanish_name order family status dist
#> 1 Cernícalo Americano Falconiformes Falconidae Residente 0
#> 2 Perdiz Negra Tinamiformes Tinamidae Residente 1
#> 3 Perdiz Chica Tinamiformes Tinamidae Residente 1
#> 4 Tangara de Palmeras Passeriformes Thraupidae Residente 2
#> 5 Batará de Cocha Passeriformes Thamnophilidae Residente 0