bioRxivEvolutionary Biology
Continent-scale phenotype mapping using photographs from citizen scientists
J. P. Drury, M. Barnes, A. E. Finneran, M. Harris, G. F. Grether
Abstract
Field investigations of phenotypic variation in free-living organisms are often limited in scope owing to time and funding constraints. By collaborating with online communities of amateur naturalists, investigators can greatly increase the amount and diversity of phenotypic data in their analyses while simultaneously engaging with a public audience. Here, we present a method for quantifying phenotypes of individual organisms in citizen scientists photographs. We then show that our protocol for measuring wing phenotypes from photographs yields accurate measurements in two species of Calopterygid damselflies. Next, we show that, while most observations of our target species were made by members of the large and established community of amateur naturalists at iNaturalist.org, our efforts to increase recruitment through various outreach initiatives were successful. Finally, we present results from two case studies: (1) an analysis of wing pigmentation in male smoky rubyspots (Hetaerina titia) showing previously undocumented geographical variation in a seasonal polyphenism, and (2) an analysis of variation in the relative size of the wing spots of male banded demoiselles (Calopteryx splendens) in Great Britain questioning previously documented evidence for character displacement. Our results demonstrate that our protocol can be used to create high quality phenotypic datasets using citizen scientists photographs, and, when combined with metadata (e.g., date and location), can greatly broaden the scope of studies of geographical and temporal variation in phenotypes. Our analyses of the recruitment and engagement process also demonstrate that collaborating with an online community of amateur naturalists can be a powerful way to conduct hypothesis-driven research aiming to elucidate the processes that impact trait evolution at landscape scales.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Signal Versus Noise: Evaluating iNaturalist Photos as a Source of Quantitative Phenotypic Data in Plethodon Salamanders using Autoresearch and Agentic AI
Kyle A. O’Connell·bioRxiv·Mar 27, 2026
- Caterpillars Count! A citizen science project for monitoring foliage arthropod abundance and phenology
A. H. Hurlbert, T. E. Hayes, … C. L. Goforth·bioRxiv·Jan 31, 2018
- Automatically producing large morphometric datasets from natural history collection images: a case study of Lepidoptera wing shape
- High throughput photogrammetric measurement of morphological traits in free-ranging phototropic insects
M. Mungee, R. Athreya·bioRxiv·Jul 11, 2019
- Identifying charismatic bird species and traits with community science observations
S. Stoudt, B. R. Goldstein, P. de Valpine·bioRxiv·Jun 5, 2021
- Opportunistically collected photographs can be used to estimate large-scale phenological trends
S. D. Taylor, R. P. Guralnick·bioRxiv·Oct 7, 2019