Acrocomia intumescens occurrence data

Description

This dataset contains georeferenced occurrence records of Acrocomia intumescens compiled to support ecological niche modeling, biogeographic analyses, and climate change impact assessments across the native distribution of the species in the Neotropics. The dataset integrates records from scientific literature, herbarium collections, biodiversity repositories, and curated botanical databases covering both Brazilian and non-Brazilian occurrences.

Steps to reproduce

Occurrence data were obtained from published bibliographic sources and complemented with records from major biodiversity infrastructures, including GBIF – Global Biodiversity Information Facility, BIEN – Botanical Information and Ecology Network, iDigBio – Integrated Digitized Biocollections, and REFLORA Virtual Herbarium. Data retrieval and harmonization were performed in R using the packages {rgbif}, {BIEN}, {ridigbio}, and {refloraR}. To ensure taxonomic consistency and reduce identification uncertainty, only records classified as “preserved specimen” were retained for GBIF and iDigBio sources, while BIEN records were restricted to taxa with “accepted” scrubbed taxonomic status. REFLORA records were included due to their expert taxonomic validation procedures. Additional taxonomic verification and nomenclatural standardization were conducted using the packages {bRacatus} and {rWCVP}. The dataset underwent extensive preprocessing and quality control following current best practices for biodiversity occurrence data cleaning. Cleaning procedures were implemented using the R packages {bdc} and {CoordinateCleaner}. Records were removed when they: * lacked geographic coordinates; * presented invalid or out-of-range coordinates; * exhibited low spatial precision (>1 km uncertainty); * coincided with country or state centroids; * matched biodiversity institution coordinates or GBIF headquarters locations; * corresponded to capital cities, duplicated coordinates, oceanic locations, or zero coordinates; * lacked associated environmental information required for downstream analyses. The resulting dataset provides a curated and standardized occurrence database suitable for ecological niche modeling (ENM/SDM), macroecological analyses, conservation planning, and assessments of climate suitability for A. totai.

Institutions

• Brazilian Agricultural Research Corporation

  Federal District, Brasília
• Universidade Federal dos Vales do Jequitinhonha e Mucuri

  Minas Gerais, Diamantina
• San Diego State University

  California, San Diego
• Qatar University

  Baladīyat ad Dawḩah, Doha

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