When you submit a checklist to eButterfly, you make your observations available to the global community of citizen scientists, researchers, educators, conservationists, and butterfly enthusiasts. The publications listed below highlight the various ways in which all these contributions are being put to use.

We would like this list of publications to be as inclusive as possible. If you know of other publications not listed which used eButterfly data, please let us know.


  • Ednie, G., & Kerr, J. T. (2022). High resolution thermal remote sensing and the limits of species’ tolerance. PeerJ10, e13911.
  • Prudic, K. L., Cruz, T. M. P., Winzer, J. I. B., Oliver, J. C., Melkonoff, N. A., Verbais, H., & Hogan, A. (2022). Botanical Gardens Are Local Hotspots for Urban Butterflies in Arid Environments. Insects13(10), 865. MDPI AG. Retrieved from
  • Calhoun, John V. (2022).A local irruption of Chlosyne nycteis (Nymphalidae) in Maine, with an important new food plant record. News of The Lepidopterists’ Society 64(1): 26-33.
  • Forister, Matthew L.; Eliza M. Grames, Christopher A. Halsch, Kevin J. Burls, Cas F. Carroll, Katherine L. Bell, Joshua P. Jahner, Taylor Bradford, Jing Zhang, Qian Cong, Nick V. Grishin, Jeffrey Glassberg, Arthur M. Shapiro, Thomas V. Riecke (2022). Assessing risk for butterflies in the context of climate change, demographic uncertainty, and heterogenous data sources. bioRxiv 2022.05.22.492972;
  • Larsen, E. A., Belitz, M. W., Guralnick, R. P., & Ries, L. (2022). Consistent trait-temperature interactions drive butterfly phenology in both incidental and survey data. Scientific Reports12(1), 1-10.
  • Pinkert, S., Barve, V., Guralnick, R., & Jetz, W. (2022). Global geographical and latitudinal variation in butterfly species richness captured through a comprehensive country‐level occurrence database. Global Ecology and Biogeography.


  • Wilson J. Keaton, Casajus Nicolas, Hutchinson Rebecca A., McFarland Kent P., Kerr Jeremy T., Berteaux Dominique, Larrivée Maxim, Prudic Kathleen L. (2021). Climate Change and Local Host Availability Drive the Northern Range Boundary in the Rapid Expansion of a Specialist Insect Herbivore, Papilio cresphontes. Frontiers in Ecology and Evolution 9:85.
  • Davidson, S. C., & Ruhs, E. C. (2021). Understanding the dynamics of Arctic animal migrations in a changing world. Animal Migration8(1), 56-64.
  • Lewthwaite, J. M., & Mooers, A. Ø. Geographical homogenization but little net change in the local richness of Canadian butterflies. Global Ecology and Biogeography.
  • Rivest, S. A., & Kharouba, H. M. (2021). Anthropogenic disturbance promotes the abundance of a newly introduced butterfly, the European common blue (Polyommatus icarus; Lepidoptera: Lycaenidae), in Canada. Canadian Journal of Zoology99(8), 642-652.
  • Dargent, F., Gilmour, S. M., Brown, E. A., Kassen, R., & Kharouba, H. M. (2021). Low prevalence of the parasite Ophryocystis elektroscirrha at the range edge of the eastern North American monarch (Danaus plexippus) butterfly population. Canadian Journal of Zoology99(5), 409-413.
  • Bates, A. E., Primack, R. B., Duarte, C. M., & PAN-Environment Working Group. (2021). Global COVID-19 lockdown highlights humans as both threats and custodians of the environment. Biological Conservation, 109175.
  • Crimmins, T. M., Posthumus, E., Schaffer, S., & Prudic, K. L. (2021). COVID-19 impacts on participation in large scale biodiversity-themed community science projects in the United States. Biological Conservation256, 109017.
  • Shirey, V., Belitz, M. W., Barve, V., & Guralnick, R. (2021). A complete inventory of North American butterfly occurrence data: narrowing data gaps, but increasing bias. Ecography, 44(4), 537-547.
  • Dexheimer, E., de Araújo, H. N., & Despland, E. (2021). Novel mutualistic interaction in introduced Polyommatus icarus larvae in Quebec. The Journal of the Entomological Society of Ontario, 152, 29-38.
  • Kantor, C. A., Skreta, M., Rauby, B., Boussioux, L., Jehanno, E., Luccioni, A., … & Talbot, H. (2021). Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification. arXiv preprint arXiv:2103.11285.
  • Kantor, C. A., Boussioux, L., Rauby, B., & Talbot, H. (2021). Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence35(18), 15807-15808.
  • Kantor, C. A., Skreta, M., Rauby, B., Boussioux, L., Jehanno, E., Luccioni, A., … & Talbot, H. (2021). Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification. arXiv preprint arXiv:2103.11285.
  • Kantor, C. A., Boussioux, L., Rauby, B., & Talbot, H. (2021). Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 15316-15322.


  • Skreta, M., Luccioni, A., & Rolnick, D. (2020). Spatiotemporal Features Improve Fine-Grained Butterfly Image Classification. Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.
  • Tremblay, P., MacMillan, H. A., & Kharouba, H. M. (2020). Autumn larval cold tolerance does not predict the northern range limit of a widespread butterfly species. bioRxiv.
  • Weiser, E. L., Diffendorfer, J. E., Lopez-Hoffman, L., Semmens, D., & Thogmartin, W. E. (2020). Challenges for leveraging citizen science to support statistically robust monitoring programs. Biological Conservation, 242, 108411.


  • Crewe, Tara L., Mitchell, Greg W., Larrivée, Maxim. (2019). Size of the Canadian Breeding Population of Monarch Butterflies Is Driven by Factors Acting During Spring Migration and Recolonization. Frontiers in Ecology and Evolution 7: 308.
  • Calhoun, John. (2019). Watch for Erynnis funeralis (Hesperiidae) in the East. SOUTHERN LEPIDOPTERISTS’ NEWS 41 (4):285-287. (PDF)
  • Weiser, E. L., Diffendorfer, J. E., Grundel, R., López‐Hoffman, L., Pecoraro, S., Semmens, D., & Thogmartin, W. E. (2019). Balancing sampling intensity against spatial coverage for a community science monitoring programme. Journal of Applied Ecology.
  • Wilson, J. Keaton, Nicolas Casajus, Rebecca A. Hutchinson, Kent P. McFarland, Jeremy T. Kerr, Dominique Berteaux, Maxim Larrivée, Kathleen L. Prudic (2019) Climate change and local host availability drive the northern range boundary in the rapid northward expansion of the eastern giant swallowtail butterfly
    bioRxiv 868125; doi:


  • Soroye, P., Ahmed, N., Kerr, J.T. (2018). Opportunistic citizen science data transform understanding of species distributions, phenology, and diversity gradients for global change research. Global Change Biology 24, 5281–5291.
  • Prudic, K. L., Oliver, J. C., Brown, B. V., & Long, E. C. (2018). Comparisons of citizen science data-gathering approaches to evaluate urban butterfly diversity. Insects9(4), 186.
  • Prudic, K. L., McFarland, K. P., Oliver, J. C., Hutchinson, R. A., Long, E. C., Kerr, J. T., & Larrivée, M. (2017). eButterfly: leveraging massive online citizen science for butterfly conservation. Insects8(2), 53.
  • Ries, L., & Oberhauser, K. (2015). A citizen army for science: quantifying the contributions of citizen scientists to our understanding of monarch butterfly biology. BioScience65(4), 419-430.