Year: 2026
Type: article
Abstract: Standardized and reproducible biodiversity indicators are essential for tracking ecological trends, assessing conservation policies, and reporting on international biodiversity frameworks.However, raw species occurrence records, such as those hosted by the Global Biodiversity Information Facility (GBIF), are typically voluminous, unevenly sampled, and noisy.To address this, the b3gbi (B-Cubed General Biodiversity Indicators) R package provides a standardized, automated, and reproducible pipeline to calculate spatial and temporal biodiversity indicators directly from pre-processed spatiotemporal species occurrence cubes (Desmet et al., 2023).The package supports a suite of indicators, including species richness, evenness, rarity, completeness, and turnover, complete with decoupled, robust uncertainty estimation via bootstrapping.
DOI: 10.21105/joss.10963
Author: Shawn Dove
Institution: Justus-Liebig-Universität Gießen
Language: English
Subfield: Nature and Landscape Conservation
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: diamond
OpenAlex ID: W7212767306