
But I’m still quite interested in big picture evolutionary processes. I’m not a fan of Stephen Jay Gould, but I did read the highly repetitive and prolix The Structure of Evolutionary Theory. And, I have a decent course background in phylogenetics because of where I studied (well, at least in Bayesian and ML computational methods and the big picture theory). So I followed very closely the reports of Luke Harmon’s Presidential address at the meeting this year.
After the talk came the preprint, Macroevolutionary diversification rates show time-dependency:
For centuries, biologists have been captivated by the vast disparity in species richness between different groups of organisms. Variation in diversity is widely attributed to differences between groups in how fast they speciate or go extinct. Such macroevolutionary rates have been estimated for thousands of groups and have been correlated with an incredible variety of organismal traits. Here we analyze a large collection of phylogenetic trees and fossil time series and report a hidden generality amongst these seemingly idiosyncratic results: speciation and extinction rates follow a scaling law where both depend strongly on the age of the group in which they are measured. This time-scaling has profound implications for the interpretation of rate estimates and suggests there might be general laws governing macroevolutionary dynamics.

There’s a lot to chew on in the preprint. I can’t judge the technical details, which are in the supplements. For example, I have heard of BAMM before and know some of its general principles because of my coursework, but I’ve never done this sort of analysis extensively, and so I’ve never developed a good intuition about what passes the smell test and what doesn’t. But it strikes me that this field of phylogenetics is nevertheless very accessible to those who are non-scientists but genuinely interested in evolutionary biology. I recommend you read the preprint closely if you do aver an interest in this field.
Addendum: Note that I still think that evolution is scale independent on a deep level. Should I change my mind based on this? I don’t see why.


If it’s not due to simple feedback mechanisms like niche saturation, then it does seem we’re treading toward Rupert Sheldrake territory. Woo.
“I still think that evolution is scale independent on a deep level.”
In other words, evolution has a fractal structure that is self-similar at every scale. While that is seemingly just a descriptive statement, there are specific kinds of mathematic features that processes must have to do that, so it is a conjecture that has the potential to be quite illuminating.