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rbioanp

Overview

rbioanp provides convenient access to curated biodiversity datasets from Peru’s National System of State-Protected Natural Areas (SINANPE) through the bioANP platform. The package includes standardized datasets of flora and fauna species inventories and occurrence records from Peru’s diverse ecosystems, facilitating biodiversity research and conservation analysis.

Motivation

Peru is one of the most biodiverse countries in the world, with vast ecosystems ranging from the Amazon rainforest to the Andes mountains and coastal regions. The SINANPE system protects these critical areas, and the bioANP platform provides comprehensive biodiversity inventories. This package makes these valuable datasets easily accessible to researchers, conservationists, and data scientists using R.

Features

  • Access to official biodiversity data from Peru’s protected natural areas
  • Flora dataset: 12,052+ standardized plant species across SINANPE
  • Fauna dataset: 6,420+ animal species (vertebrates) with taxonomic classification
  • Occurrence records: 55,155+ species occurrences within protected areas
  • Protected areas registry: Official listing of 287 state-protected natural areas with legal and administrative information
  • Cleaned taxonomic data: Standardized scientific names, infraspecific ranks, and taxonomic classifications

Datasets Included

anp_list

Official list of state-protected natural areas in Peru, including: - Protection categories (National Parks, Reserves, Sanctuaries, etc.) - Legal instruments and dates of creation/modification - Geographic extent and administrative location - Total area in hectares

anp_species_flora

Standardized flora species inventory with: - Scientific binomial names (standardized to current taxonomic standards) - Family and order classifications (APG system) - Infraspecific rank information (subspecies, varieties, forms)

anp_species_fauna

Comprehensive fauna species inventory including: - Taxonomic classification (class, order, family, species) - General group classification (amphibians, birds, mammals, reptiles, fish) - Taxonomic synonyms when applicable - 6,420+ documented species

anp_species_occ

Species occurrence records with: - Detailed taxonomic information - Protected area location and category - Endemic and threatened species indicators - Infraspecific rank and taxonomic classification - 55,155+ occurrence records

Installation

You can install the development version of rbioanp from GitHub:

# Install devtools if not already installed
# install.packages("devtools")

devtools::install_github("PaulESantos/rbioanp")

Quick Start 

library(rbioanp)
library(dplyr)

# Load the protected areas registry
data(anp_list)
head(anp_list)

# Count protected areas by category
table(anp_list$categoria)

# Load fauna species data
data(anp_species_fauna)

# Count species by group
anp_species_fauna %>%
  group_by(grupo) %>%
  tally()

# Load occurrence records
data(anp_species_occ)

# Find endemic threatened species
anp_species_occ %>%
  filter(endemica == TRUE, amenazada == TRUE)

# Species distribution across protected areas
anp_species_occ %>%
  count(anp_nombre, sort = TRUE)

Data Sources

All datasets are sourced from the official bioANP platform maintained by the National Service of State-Protected Natural Areas (SERNANP, Servicio Nacional de Áreas Naturales Protegidas por el Estado).

Citation

If you use this package in your research, please cite:

Santos Andrade, P. E. (2026). rbioanp: Access and Analyze Biodiversity Data from
Peru's Protected Natural Areas. R package version 0.1.0.
https://github.com/PaulESantos/rbioanp

Contributing

Contributions are welcome! Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

License

This package is licensed under the MIT License - see the LICENSE file for details.

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

Support

For issues, questions, or suggestions, please visit the GitHub Issues page or see our Support guidelines.