We use species evolutionary history to better understand and predict their present-day ecology. Our lab develops new statistical and computational tools to answer fundamental questions about the origins and future of biodiversity. To find out more about our research, please visit our website.
et al., 2021, Macrophenology: insights into the broad-scale patterns, drivers, and consequences of phenology, American Journal of Botany, ISSN:0002-9122
et al., 2021, Strong trait correlation and phylogenetic signal in North American ground beetle (Carabidae) morphology, Ecosphere, Vol:12, ISSN:2150-8925
Simpson EG, Pearse WD, 2021, Fractal triads efficiently sample ecological diversity and processes across spatial scales, Oikos, ISSN:0030-1299
Miller BA, Pearse WD, Flint CG, 2021, Saving the Forest from the Trees: Expert Views on Funding Restoration of Northern Arizona Ponderosa Pine Forests through Registered Carbon Offsets, Forests, Vol:12
et al., 2021, Temperature and population density influence SARS-CoV-2 transmission in the absence of nonpharmaceutical interventions, Proceedings of the National Academy of Sciences of the United States of America, Vol:118, ISSN:0027-8424