The avesperu
package provides access to the most up-to-date and comprehensive dataset on Peru’s avian diversity. As of December 2, 2024, the list includes 1,909 bird species, reflecting significant advancements in taxonomy and the validation of species records. These updates are based on articles, photographs, and sound recordings archived in accredited institutions, and follow the classification endorsed by the South American Checklist Committee (SACC).
Species Categories
Each species in the dataset is classified into one of the following categories, reflecting its status in Peru:
-
X (Resident): 1,542 species
-
E (Endemic): 117 species
-
NB (Migratory): 138 species
-
V (Vagrant): 83 species
-
IN (Introduced): 3 species
-
EX (Extirpated): 0 species
- H (Hypothetical): 26 species
This results in a total of 1,909 species, demonstrating Peru’s incredible avian richness.
The avesperu
package is designed to streamline access to this data for researchers, conservationists, and bird enthusiasts alike, providing tools for taxonomy validation and species data retrieval using advanced fuzzy matching capabilities.
Here’s an enhanced analysis of the provided information, focusing on the trends and implications for Peru’s avian biodiversity:
- The chart depicts the steady increase in the number of bird species recorded in Peru from 1968 to 2024, showcasing the country’s remarkable progress in avian taxonomy and biodiversity documentation. Over the decades, several key trends emerge:
Significant Milestones:
The species count grew substantially between 1968 (1,491 species) and 1980 (1,678 species), reflecting early efforts in exploration and classification. Post-2000, the growth rate appears more stable, with key updates in 2010, 2020, and culminating in 2024 with 1,909 species.
Categorical Analysis:
Most of the species belong to the “Resident” (X) category, accounting for 1,542 species, while 117 species are classified as endemic, showcasing Peru’s unique biodiversity.
Hypothetical species (“H”) contribute 26 species, emphasizing the importance of continued validation efforts to solidify their inclusion in the list.
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 0.0.3
#>
#> 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 0.0.3},
#> }
#>
#> To cite the avesperu dataset, please use: Plenge, M. A. Version
#> [12/02/2024] List of the birds of Peru / Lista de las aves del Perú.
#> Unión de Ornitólogos del Perú:
#> https://sites.google.com/site/boletinunop/checklist
Installation
You can install the avesperu
package from CRAN using:
install.packages("avesperu")
# or
pak::pak("avesperu")
Also you can install the development version of avesperu
like so:
pak::pak("PaulESantos/avesperu")
Usage
Here’s a quick example of how to use the avesperu
package:
library(avesperu)
#> This is avesperu 0.0.3
splist <- c("Falco sparverius",
"Tinamus osgodi",
"Crypturellus sooui",
"Thraupisa palamarum",
"Thamnophilus praecox")
search_avesperu(splist = splist, max_distance = 0.05)
#> name_submitted accepted_name order_name family_name
#> 1 Falco sparverius Falco sparverius Falconiformes Falconidae
#> 2 Tinamus osgodi Tinamus osgoodi Tinamiformes Tinamidae
#> 3 Crypturellus sooui Crypturellus soui Tinamiformes Tinamidae
#> 4 Thraupisa palamarum <NA> <NA> <NA>
#> 5 Thamnophilus praecox Thamnophilus praecox Passeriformes Thamnophilidae
#> english_name spanish_name status dist
#> 1 American Kestrel Cernícalo Americano Residente 0
#> 2 Black Tinamou Perdiz Negra Residente 1
#> 3 Little Tinamou Perdiz Chica Residente 1
#> 4 <NA> <NA> <NA> <NA>
#> 5 Cocha Antshrike Batará de Cocha Residente 0
- The package not only provides access to the list of bird species recorded in Peru but also excels in resolving potential typos or variations in species names through fuzzy matching. It ensures accurate retrieval by intelligently recognizing and accommodating slight discrepancies in the input names, making it a robust tool for working with diverse and sometimes inconsistent datasets.
splist <- c("Falco sparverius",
"Tinamus osgodi",
"Crypturellus sooui",
"Thraupisa palamarum",
"Thraupisa palamarum",
"Thamnophilus praecox")
search_avesperu(splist = splist, max_distance = 0.05)
#> The following names are repeated in the 'splist': Thraupisa palamarum
#> name_submitted accepted_name order_name family_name
#> 1 Falco sparverius Falco sparverius Falconiformes Falconidae
#> 2 Tinamus osgodi Tinamus osgoodi Tinamiformes Tinamidae
#> 3 Crypturellus sooui Crypturellus soui Tinamiformes Tinamidae
#> 4 Thraupisa palamarum <NA> <NA> <NA>
#> 5 Thamnophilus praecox Thamnophilus praecox Passeriformes Thamnophilidae
#> english_name spanish_name status dist
#> 1 American Kestrel Cernícalo Americano Residente 0
#> 2 Black Tinamou Perdiz Negra Residente 1
#> 3 Little Tinamou Perdiz Chica Residente 1
#> 4 <NA> <NA> <NA> <NA>
#> 5 Cocha Antshrike Batará de Cocha Residente 0