Eliot Miller

Collections Development Manager

Recent Publications

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-Gutiérrez, O. J. Robinson, E. Miller, T. Auer, S. Kelling, and D. Fink (2021). [In Press] Analytical guidelines to increase the value of eBird data to estimate species occurrence. Diversity and Distributions.
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.
Levy, H., S. R. Fiddaman, J. A. Vianna, D. Noll, G. V. Clucas, J. K. H. Sidhu, M. J. Polito, C. A. Bost, R. A. Phillips, S. Crofts, G. D. Miller, et al. (2020). Evidence of pathogen-induced immunogenetic selection across the large geographic range of a wild seabird. Molecular Biology and Evolution 37:1708–1726.
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.
Cole, T. L., L. Dutoit, N. Dussex, T. Hart, A. Alexander, J. L. Younger, G. V. Clucas, M. J. Frugone, Y. Cherel, R. Cuthbert, U. Ellenberg, et al. (2019). Receding ice drove parallel expansions in Southern Ocean penguins. Proceedings of the National Academy of Sciences 116:26690–26696.
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.
Hewson, C. M., M. Miller, A. Johnston, G. J. Conway, R. Saunders, J. H. Marchant, and R. J. Fuller (2018). Estimating national population sizes: Methodological challenges and applications illustrated in the common nightingale, a declining songbird in the UK. Journal of Applied Ecology. https://doi.org/10.1111/1365-2664.13120
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.
Therrien, J.-F., S. Weidensaul, D. Brinker, S. Huy, T. Miller, E. Jacobs, D. Weber, T. McDonald, M. Lanzone, N. Smith, and N. Lecomte (2017). Winter use of a highly diverse suite of habitats by irruptive Snowy Owls. Northeastern Naturalist:B81–B89.
Miller, E. T., D. R. Farine, and C. H. Trisos (2017). Phylogenetic community structure metrics and null models: A review with new methods and software. Ecography 40:461–477.

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