Estimating global bee species richness and taxonomic gaps

Robust species richness estimates are critical for meaningful conservation prioritisation, understanding ecosystem resilience, and studying evolutionary processes. Yet, they remain elusive even for some of the best-studied groups and regions. As keystone pollinators, bees are crucial for the maintenance of healthy ecosystems, yet rigorous estimates of their species richness are lacking. Here, we statistically estimate global, continental, and country lower bounds of bee species richness. Globally, we estimate 24,705-26,164 bee species, an 18-25% increase, representing at least 32-45 years of taxonomic research. We estimate particularly high undescribed biodiversity from Asia, Africa, and the Americas. We find that taxonomic gaps are correlated with gross domestic product per capita (GDPc), observed species richness, number of occurrence records, and completeness of occurrence databases. Our statistical R-package framework will progress our understanding of lesser-known groups, downstream consensus, and mobilise existing occurrence datasets to quantitatively estimate species richness on global scales.

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Publication Details

Journal
Nature Communications
Published
2026-02-24
DOI
https://doi.org/10.1038/s41467-026-69029-4
Citations
1
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
67.46

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article

Estimating global bee species richness and taxonomic gaps

James B. Dorey, Damien Esquerré, Andrew Hughes, John S. Ascher et al.
1 citations
Nature Communications
Plant and animal studies
67.46
article

Estimating global bee species richness and taxonomic gaps

James B. Dorey, Damien Esquerré, Andrew Hughes, John S. Ascher, Nikolas P. Johnston, Michael C. Orr, Amy-Marie Gilpin
article en
1 citations

Abstract

Robust species richness estimates are critical for meaningful conservation prioritisation, understanding ecosystem resilience, and studying evolutionary processes. Yet, they remain elusive even for some of the best-studied groups and regions. As keystone pollinators, bees are crucial for the maintenance of healthy ecosystems, yet rigorous estimates of their species richness are lacking. Here, we statistically estimate global, continental, and country lower bounds of bee species richness. Globally, we estimate 24,705-26,164 bee species, an 18-25% increase, representing at least 32-45 years of taxonomic research. We estimate particularly high undescribed biodiversity from Asia, Africa, and the Americas. We find that taxonomic gaps are correlated with gross domestic product per capita (GDPc), observed species richness, number of occurrence records, and completeness of occurrence databases. Our statistical R-package framework will progress our understanding of lesser-known groups, downstream consensus, and mobilise existing occurrence datasets to quantitatively estimate species richness on global scales.

Nature CommunicationsVol. 17(1)
University of Hohenheim (DE), The University of Melbourne (AU), National University of Singapore (SG), Flinders University (AU), University of Wollongong (AU), Staatliches Museum für Naturkunde Stuttgart (DE), Institute of Zoology (CN), Western Sydney University (AU)
U.S. Department of Agriculture, University of Kansas, University of Wollongong, Chinese Academy of Sciences, Sveriges Lantbruksuniversitet, Uniwersytet im. Adama Mickiewicza w Poznaniu, U.S. Geological Survey, Agricultural Research Service, Artdatabanken, Sveriges Lantbruksuniversitet
Life in Land
Openalex Percentile: Top 0%
Plant and animal studies
67.46
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