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., 2020, SymbiotaR2: An R Package for Accessing Symbiota2 Data, Journal of Open Source Software, Vol:5, Pages:2917-2917
et al., 2020, Publisher Correction: Open Science principles for accelerating trait-based science across the Tree of Life., Nat Ecol Evol, Vol:4
et al., 2020, Open Science principles for accelerating trait-based science across the Tree of Life, Nature Ecology & Evolution, Vol:4, ISSN:2397-334X, Pages:294-303
et al., 2020, Herbivores at the highest risk of extinction among mammals, birds, and reptiles, Science Advances, Vol:6, Pages:eabb8458-eabb8458
Gallinat AS, Pearse WD, 2020, A novel framework for modeling the evolution of cross-scale ecological assembly, Biorxiv