Eliot Miller

Postdoctoral Associate

I’m a Schmidt Science Fellow exploring the feasibility of using automated acoustic identifications to inform species distribution models.

Recent Publications

Leighton, G. M., J. P. Drury, J. Small, and E. T. Miller (2024). Unfamiliarity generates costly aggression in interspecific avian dominance hierarchies. Nature Communications 15:335.
Fernandez‐Duque, F., E. T. Miller, M. Fernandez‐Duque, J. Falk, G. Venable, S. Rabinowicz, C. D. Becker, and M. E. Hauber (2024). Phenotype predicts interspecific dominance hierarchies in a cloud‐forest hummingbird guild. Ethology 130:e13410.
Rohwer, V., J. Houtz, M. Vitousek, R. Bailey, and E. Miller (2023). From pattern to process: the evolution of using shed snake skin in bird nests. [Online.] Available at
Berberi, I., E. T. Miller, and R. Dakin (2023). The effect of sociality on competitive interactions among birds. Proceedings of the Royal Society B: Biological Sciences 290:20221894.
Leighton, G. M., D. Lamour, K. Malcolm, and E. T. Miller (2023). Both morphological and behavioral traits predict interspecific social dominance in birds. Journal of Ornithology 164:163–169.
Richardson, J., A. C. Lees, E. T. Miller, and S. J. Marsden (2023). Avian diversity and function across the world's most populous cities. Ecology Letters 26:1301–1313.
Min, Y., E. T. Miller, D. Fink, and C. P. Gomes (2023). Joint time–frequency scattering-enhanced representation for bird vocalization classification. NeurIPS 2023 Computational Sustainability: Promises and Pitfalls from Theory to Deployment. New Orleans, Louisiana.
Cramer, J. F., E. T. Miller, M.-C. Ko, Q. Liang, G. Cockburn, T. Nakagita, M. Cardinale, L. Fusani, Y. Toda, and M. W. Baldwin (2022). A single residue confers selective loss of sugar sensing in wrynecks. Current Biology 32:4270-4278.e5.
Rohwer, S., C. S. Wood, J. L. Peters, E. T. Miller, D. Cagley, B. G. Butcher, K. L. Epperly, and L. Campagna (2022). Interspecific forced copulations generate most hybrids in broadly sympatric ducks. PLOS ONE 17:e0274059.
Miller, E. T., O. Mac Aodha, E. I. Greig, D. N. Bonter, and W. M. Hochachka (2022). Congeneric predators fill discrete niches created by the relative abundances of their prey species. Journal of Avian Biology n/a:e02934.
Miller, E. T., A. Wood, M. D. Baiz, A. J. Welch, R. C. Fleischer, A. S. Dale, and D. P. L. Toews (2022). Re-assessing niche partitioning in MacArthur's Warblers: foraging behavior, morphology, and diet metabarcoding in a phylogenetic context. bioRxiv:2022.08.26.505503.
La Sorte, F. A., M. Somveille, A. M. Dokter, and E. T. Miller (2022). Seasonal species richness of birds on the world's islands and its geographical correlates. Proceedings of the Royal Society B: Biological Sciences 289:20221105.
Freeman, B. G., M. Strimas-Mackey, and E. T. Miller (2022). Interspecific competition limits bird species' ranges in tropical mountains. Science 377:416–420.
Miller, E. T., and B. S. Martin (2022). Distilling complex evolutionary histories with shiftPlot. bioRxiv:2022.03.16.484646.
Robinson, O. J., J. B. Socolar, E. F. Stuber, T. Auer, A. J. Berryman, P. H. Boersch-Supan, D. J. Brightsmith, A. H. Burbidge, S. H. M. Butchart, C. L. Davis, A. M. Dokter, et al. (2022). Extreme uncertainty and unquantifiable bias do not inform population sizes. Proceedings of the National Academy of Sciences 119:e2113862119.
Guo, L., W. Dai, Z. Xu, Q. Liang, E. T. Miller, S. Li, X. Gao, M. W. Baldwin, R. Chai, and Q. Li (2022). Evolution of brain-expressed biogenic amine receptors into olfactory trace amine-associated receptors. Molecular Biology and Evolution 39.
Cockburn, G., M.-C. Ko, K. R. Sadanandan, E. T. Miller, T. Nakagita, A. Monte, S. Cho, E. Roura, Y. Toda, and M. W. Baldwin (2022). Synergism, bifunctionality, and the evolution of a gradual sensory trade-off in hummingbird taste receptors. Molecular Biology and Evolution 39.
Hoenig, B. D., A. M. Snider, A. M. Forsman, K. A. Hobson, S. C. Latta, E. T. Miller, M. J. Polito, L. L. Powell, S. L. Rogers, T. W. Sherry, D. P. L. Toews, et al. (2022). Current methods and future directions in avian diet analysis. Ornithology 139:ukab077.
Tobias, J. A., C. Sheard, A. L. Pigot, A. J. M. Devenish, J. Yang, F. Sayol, M. H. C. Neate-Clegg, N. Alioravainen, T. L. Weeks, R. A. Barber, P. A. Walkden, et al. (2022). AVONET: morphological, ecological and geographical data for all birds. Ecology Letters 25:581–597.
Toda, Y., M.-C. Ko, Q. Liang, E. T. Miller, A. Rico-Guevara, T. Nakagita, A. Sakakibara, K. Uemura, T. Sackton, T. Hayakawa, S. Y. W. Sin, et al. (2021). Early origin of sweet perception in the songbird radiation. Science 373:226–231.
Husak, J. F., M. J. Fuxjager, M. A. Johnson, M. N. Vitousek, J. W. Donald, C. D. Francis, W. Goymann, M. Hau, B. K. Kircher, R. Knapp, L. B. Martin, et al. (2021). Life history and environment predict variation in testosterone across vertebrates. Evolution. https://doi.org/https://doi.org/10.1111/evo.14216
Schoenle, L. A., C. Zimmer, E. T. Miller, and M. N. Vitousek (2021). Does variation in glucocorticoid concentrations predict fitness? A phylogenetic meta-analysis. General and Comparative Endocrinology 300:113611.
Hochachka, W. M., H. Alonso, C. Gutiérrez-Expósito, E. Miller, and A. Johnston (2021). Regional variation in the impacts of the COVID-19 pandemic on the quantity and quality of data collected by the project eBird. Biological Conservation 254:108974.
Johnston, A., W. M. Hochachka, M. E. Strimas-Mackey, V. Ruiz Gutierrez, O. J. Robinson, E. T. Miller, T. Auer, S. T. Kelling, and D. Fink (2021). Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions. Diversity and Distributions 27:1265–1277.
Wilson, A. A., M. A. Ditmer, J. R. Barber, N. H. Carter, E. T. Miller, L. P. Tyrrell, and C. D. Francis (2021). Artificial night light and anthropogenic noise interact to influence bird abundance over a continental scale. Global Change Biology 27:3987–4004.
Rabinowicz, S., N. García, T. Herwood, A. Lazar, B. Hein, E. Miller, and L. Campagna (2020). An avian dominance hierarchy at a supplemental water source in the Patagonian steppe. PLOS ONE 15:e0244299.
Greeney, H. F., F. A. P, R. C. Dobbs, S. Crespo, E. T. Miller, D. Caceres, R. A. Gelis, B. Angulo, and L. A. S. M (2020). Notes on the breeding biology of the Tumbesian Avifauna in southwest Ecurado and northwest Peru. Revista Ecuatoriana de Ornitología:1–54.
Pigot, A. L., C. Sheard, E. T. Miller, T. P. Bregman, B. G. Freeman, U. Roll, N. Seddon, C. H. Trisos, B. C. Weeks, and J. A. Tobias (2020). Macroevolutionary convergence connects morphological form to ecological function in birds. Nature Ecology & Evolution 4:230–239.
Miller, E. T., G. M. Leighton, B. G. Freeman, A. C. Lees, and R. A. Ligon (2020). Reply to "Convergent and divergent selection in sympatry drive plumage evolution in woodpeckers." Nature Communications 11:1–3.
Injaian, A., C. Francis, J. Ouyang, D. Dominoni, J. Donald, M. Fuxjager, W. Goymann, M. Hau, J. Husak, M. Johnson, B. Kircher, et al. (2020). Baseline and stress-Induced corticosterone levels across birds and reptiles do not reflect urbanization levels. Conservation Physiology 8:1–18.
Friedman, N. R., E. T. Miller, J. R. Ball, H. Kasuga, V. Remeš, and E. P. Economo (2019). Evolution of a multifunctional trait: Shared effects of foraging ecology and thermoregulation on beak morphology, with consequences for song evolution. Proceedings of the Royal Society B: Biological Sciences 286:20192474.
Henao Diaz, L. F., L. J. Harmon, M. T. C. Sugawara, E. T. Miller, and M. W. Pennell (2019). Reply to Wiens and Scholl: The time dependency of diversification rates is a widely observed phenomenon. Proceedings of the National Academy of Sciences 116:24401.
Vitousek, M. N., M. A. Johnson, C. J. Downs, E. T. Miller, L. B. Martin, C. D. Francis, J. W. Donald, M. J. Fuxjager, W. Goymann, M. Hau, J. F. Husak, et al. (2019). Macroevolutionary patterning in glucocorticoids suggests different selective pressures shape baseline and stress-Induced levels. The American Naturalist:703112.
Diaz, L. F. H., L. J. Harmon, M. T. C. Sugawara, E. T. Miller, and M. W. Pennell (2019). Macroevolutionary diversification rates show time dependency. Proceedings of the National Academy of Sciences:7403–7408.
Johnston, A., W. Hochachka, M. Strimas-Mackey, V. R. Gutierrez, O. Robinson, E. Miller, T. Auer, S. Kelling, and D. Fink (2019). Best practices for making reliable inferences from citizen science data: Case study using eBird to estimate species distributions. bioRxiv. https://doi.org/10.1101/574392
Miller, E. T., G. M. Leighton, B. G. Freeman, A. C. Lees, and R. A. Ligon (2019). Ecological and geographical overlap drive plumage evolution and mimicry in woodpeckers. Nature Communications 10.
Miller, E. T., J. E. McCormack, G. Levandoski, and B. R. McKinney (2018). Sixty years on: Birds of the Sierra del Carmen, Coahuila, Mexico, revisited. Bulletin of the British Ornithologists' Club 138:318–334.
Martin, L. B., M. Vitousek, J. W. Donald, T. Flock, M. J. Fuxjager, W. Goymann, M. Hau, J. Husak, M. A. Johnson, B. Kircher, R. Knapp, et al. (2018). IUCN conservation status does not predict glucocorticoid concentrations in reptiles and birds. Integrative and Comparative Biology 58:800–813.
Casagrande, S., L. Zsolt Garamszegi, W. Goymann, J. Donald, C. D. Francis, M. J. Fuxjager, J. F. Husak, M. A. Johnson, B. Kircher, R. Knapp, L. B. Martin, et al. (2018). Do seasonal glucocorticoid changes depend on reproductive investment? A comparative approach in birds. Integrative and Comparative Biology 58:739–750.
Garamszegi, L. Z., J. Donald, C. D. Francis, M. J. Fuxjager, W. Goymann, M. Hau, J. F. Husak, M. A. Johnson, B. Kircher, R. Knapp, L. B. Martin, et al. (2018). Species-specific means and within-species variance in glucocorticoid hormones and speciation rates in birds. Integrative and Comparative Biology 58:763–776.
Johnson, M. A., C. D. Francis, E. T. Miller, C. J. Downs, and M. N. Vitousek (2018). Detecting bias in large-scale comparative analyses: Methods for expanding the scope of hypothesis-testing with HormoneBase. Integrative and Comparative Biology 58:720–728.
Francis, C. D., J. W. Donald, M. J. Fuxjager, W. Goymann, M. Hau, J. F. Husak, M. A. Johnson, B. K. Kircher, R. Knapp, L. B. Martin, E. T. Miller, et al. (2018). Metabolic scaling of stress hormones in vertebrates. Integrative and Comparative Biology 58:729–738.
Vitousek, M. N., M. A. Johnson, J. W. Donald, C. D. Francis, M. J. Fuxjager, W. Goymann, M. Hau, J. F. Husdak, B. K. Kircher, R. Knapp, L. B. Martin, et al. (2018). HormoneBase, a population-level database of steroid hormone levels across vertebrates. Scientific Data 5.
Miller, E. T., G. M. Leighton, B. G. Freeman, A. C. Lees, and R. A. Ligon (2018). Climate, habitat, and geographic range overlap drive plumage evolution. bioRxiv:375261.
Freeman, B. G., and E. T. Miller (2018). Why do crows attack ravens? The roles of predation threat, resource competition, and social behavior. The Auk 135:857–867.
Leighton, G. M., A. C. Lees, and E. T. Miller (2018). The hairy–downy game revisited: An empirical test of the interspecific social dominance mimicry hypothesis. Animal Behaviour 137:141–148.
Miller, E. T., D. N. Bonter, C. Eldermire, B. G. Freeman, E. I. Greig, L. J. Harmon, C. Lisle, and W. M. Hochachka (2017). Fighting over food unites the birds of North America in a continental dominance hierarchy. Behavioral Ecology 28:1454–1463.
Uyeda, J. C., M. W. Pennell, E. T. Miller, R. Maia, and C. R. McClain (2017). The evolution of energetic scaling across the vertebrate tree of life. The American Naturalist 190:185–199.
Miller, E. T. (2017). Peter Menkhorst, Danny Rogers, and Rohan Clarke, The Australian bird guide. Emu - Austral Ornithology 117:301–302.
Eliot Miller
Center Avian Population Studies
Email etm45@cornell.edu

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Golden-cheeked Warbler by Bryan Calk/Macaulay Library