The global distribution of human-visible flower color diversity

The spectacular diversity of flower colors is among the most widely appreciated features of the natural world. For over a century, biologists and naturalists have speculated about whether human-visible flower color diversity shifts predictably across ecological systems worldwide. Yet challenges in measuring color across the vast diversity of flowering plants have limited global tests of these patterns. Using a computer-vision enabled analysis of community science data across 64,000 species, we modeled the major global features of human-visible flower color. We find a robust latitudinal gradient in color diversity after standardizing the number of species sampled from each flora, with flower colors occurring in more even proportions toward the equator. Modeling flower color alongside climate and pollination strategy reveals associations with both biotic and abiotic factors. These findings provide a global basis for testing how ecological and evolutionary processes shape the relative representation of floral phenotypes, beyond differences in species richness.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-28
DOI
https://doi.org/10.64898/2026.10.26.762001
Primary Topic
Plant and animal studies
Type
preprint
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preprint

The global distribution of human-visible flower color diversity

Thaís Vasconcelos, Marjorie Gail Weber, Agnes S. Dellinger, James D. Boyko et al.
2 links
bioRxiv (Cold Spring Harbor Laboratory)
Plant and animal studies
preprint

The global distribution of human-visible flower color diversity

Thaís Vasconcelos, Marjorie Gail Weber, Agnes S. Dellinger, James D. Boyko, Miranda A. Sinnott‐Armstrong, Marisa M. Laitinen, Michael Foisy, Elia Schramek
preprint en

Abstract

The spectacular diversity of flower colors is among the most widely appreciated features of the natural world. For over a century, biologists and naturalists have speculated about whether human-visible flower color diversity shifts predictably across ecological systems worldwide. Yet challenges in measuring color across the vast diversity of flowering plants have limited global tests of these patterns. Using a computer-vision enabled analysis of community science data across 64,000 species, we modeled the major global features of human-visible flower color. We find a robust latitudinal gradient in color diversity after standardizing the number of species sampled from each flora, with flower colors occurring in more even proportions toward the equator. Modeling flower color alongside climate and pollination strategy reveals associations with both biotic and abiotic factors. These findings provide a global basis for testing how ecological and evolutionary processes shape the relative representation of floral phenotypes, beyond differences in species richness.

bioRxiv (Cold Spring Harbor Laboratory)
University of Vienna (AT), Simon Fraser University (CA), Purdue University West Lafayette (US), University of Michigan (US), Cleveland Museum of Natural History (US)
Plant and animal studies
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The global distribution of human-visible flower color diversity — Thaís Vasconcelos, Marjorie Gail Weber, et al. · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS