John Alroy | |
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Born | 1966 New York, United States |
Residence | Sydney, Australia |
Nationality | United States |
Fields | Paleontology Paleobiology |
Institutions | Macquarie University NCEAS University of Arizona Smithsonian National Museum of Natural History |
Alma mater | BS Reed College PhD University of Chicago |
Notable awards | NAS Award for Scientific Reviewing (2010) Charles Schuchert Award (2007) Romer Prize (1994) |
John Alroy is a paleobiologist born in New York in 1966 and now residing in Sydney.
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Alroy specializes in diversity curves, speciation, and extinction of North American fossil mammals and Phanerozoic marine invertebrates, connecting regional and local diversity, taxonomic composition, body mass distributions, ecomorphology, and phylogenetic patterns to intrinsic diversity dynamics, evolutionary trends, mass extinctions, and the effects of global climate change.
Alroy also coordinates the Paleobiology Database, an open-source collaborative database created by more than 240 researchers, funded by the National Science Foundation and Australian Research Council and based from 2000 to 2010 at the National Center for Ecological Analysis and Synthesis.
In a Friday, September 3, 2010 online article by Hugh Collins, a contributor for AOL Online Science, Alroy is quoted in a newly-released study paper from Sydney's Macquarie University that "It would be unwise to assume that any large number of species can be lost today without forever altering the basic biological character of Earth's oceans."
Appearance Event Ordination (AEO) is a superior form of dating fossil collections, according to Alroy. Age assignments to North American land mammals are provided for comparison and may disagree with the AEO estimates because they are taken straight from published sources. Therefore, the assignments reflect the subjective opinions of the authors who described the fossils. They are not based on quantitative analyses of faunal and biostratigraphic data.
"AEO age estimates are preferable because they are objective, repeatable, and quantitative. That's because AEO uses uses explicitly recorded and clearly defined numerical data, and because it uses algorithmic search and optimization criteria instead of verbal argumentation."