A new twist on a very old binary similarity coefficient. Ecology (in press).
A simple Bayesian method of inferring extinction. Paleobiology 40:584-607 (2014).
Dietary characterization of terrestrial mammals. Proceedings B 281 (Pineda-Munoz and Alroy 2014).
Accurate and precise estimates of origination and extinction rates. Paleobiology 40:374-397 (2014).
On the flux ratio method and correcting incorrect forms of correct equations. Paleobiology 37:710-711 (2011).
Geographical, environmental and intrinsic biotic controls on Phanerozoic marine diversification. Palaeontology 53:1211-1235 (2010).
Fair sampling of taxonomic richness and unbiased estimation of origination and extinction rates. In J. Alroy and G. Hunt (eds.), Quantitative Methods in Paleobiology. Paleontological Society Papers 16:55-80 (2010).
The shifting balance of diversity among major marine animal groups. Science 329:1191-1194 (2010)
Speciation and extinction in the fossil record of North American mammals. Pp. 301-323 in R. Butlin, J. Bridle, and D. Schluter, (eds.), Speciation and Patterns of Diversity. Cambridge University Press, Cambridge (2009)
Dynamics of origination and extinction in the marine fossil record. PNAS 105:11536-11542 (2008)
How many named species are valid? Proceedings of the National Academy of Sciences 99:3706-3711 (2002)
A multi-species overkill simulation of the end-Pleistocene megafaunal mass extinction. Science 292:1893-1896 (2001)
New methods for quantifying macroevolutionary patterns and processes. Paleobiology 26(4):707-733 (2000)
Cope's rule and the dynamics of body mass evolution in North American mammals. Science 280:731-734 (1998)
My research focus for many years was diversity curves, speciation, and extinction, with most of my publications being about Cenozoic North American mammals or (under duress) Phanerozoic marine invertebrates.
But I have finally seen the light at the end of the Phanerozoic and turned my attention to quantifying diversity and extinction at this very moment.
My latest greatest methods are the gap filler turnover rate equations, the creeping-shadow-of-a-doubt Bayesian extinction probability equation (say that a few times fast), the rescaled Forbes index, shortest bridges, and ordered partitioning. Much of which is top secret. But before that came shareholder quorum subsampling, which at the moment is functionally still a secret despite having been described in three different papers. Try running it on your ecological count data with this simple R function - if you dare. And for the more ambitious, there's always the option of downloading the fossil record of everything and crunching it to smithereens with the Fossilworks built-in diversity curve generator.
I also have projects concerning contemporary extinction rates, community ecology, body mass evolution, molecular clock calibration, zoo finances, and early childhood development.
Note: there are no joke entries in that list.
I maintain an interest in late Quaternary megafaunal extinctions, and as a young'un I worked on quantitative methods of time scale construction.
If that's not enough, my CV gives all the gory details.
And if you simply must know right now you can cast an e-mail into the ether using this very special address: <john dot alroy at mq dot edu dot au>.
And yes, I think that someday the Mets will win the World Series.
Are Sepkoski's evolutionary faunas dynamically coherent? Evolutionary Ecology Research 6(1):1-32 (2004)
Taxonomic inflation and body mass distributions in North American fossil mammals. Journal of Mammalogy 84(2):431-443 (2003)
Putting North America's end-Pleistocene megafaunal extinction in context: large scale analyses of spatial patterns, extinction rates, and size distributions. Pp. 105-143 in R. D. E. MacPhee (ed.), Extinctions in near time: causes, contexts, and consequences. Plenum, New York (1999)
The fossil record of North American mammals: evidence for a Paleocene evolutionary radiation. Systematic Biology 48(1):107-118 (1999)
Alroy's Abbreviated Ten Statistical Commandments
• Log thy data
• Life's but a gradient
• See the nonparametric light
• Disdain p-values
• Maximize a posteriori
Diversity curve variations
• Abhor tiny time series
• Detrend thy time series
• Sample fairly, if not uniformly
• Count only thy sampled taxa
• The secret of life is... gap fillers
• Disjunct distribution ordination (Paleobiology, 1992)