Skip to content
Field Atlas

Atlas / Biology / The Tree of Life Thread

Field · Emerged 1944 – 2020

Macroevolution

Does the history of life over millions of years follow from the processes seen within populations, or do patterns at that scale have causes of their own?

5 chapters7 min read7 turning points2 open problems

Branched from
Palaeontology + Phylogenetics
Branched into
Not yet surveyed past here
Figures
George Gaylord Simpson, Stephen Jay Gould, Niles Eldredge, Steven Stanley, Elisabeth Vrba, Jack Sepkoski, David Raup, Philip Gingerich, Joseph Felsenstein, Stilianos Louca, Matthew Pennell

In brief

Natural selection acts on individuals over generations. The fossil record shows patterns over tens of millions of years: lineages that persist unchanged for ten million years and then turn over in a hundred thousand, groups that diversify explosively after a catastrophe, body sizes that creep upward across whole orders. Macroevolution asks whether the second follows from the first by simple extrapolation, or whether processes operating on species rather than organisms — differential speciation, differential extinction, the luck of surviving an asteroid — need to be added.

The question has been argued since 1944, when George Gaylord Simpson showed that palaeontological rates were compatible with population genetics, and sharpened in 1972, when Niles Eldredge and Stephen Jay Gould argued that the most conspicuous feature of the record is not change but stasis. Since then the subject has become quantitative: extinction peaks counted in a database, rates compared across intervals, and diversification histories fitted to phylogenies — the last of which turned out, in 2020, to be less identifiable than anyone had assumed.

Key ideas

Rate in darwinsEnters 1944

Haldane's unit: the change in the natural logarithm of a measurement, per million years. It makes rates comparable across traits and scales, and it exposed the fact that measured rates depend strongly on the length of the interval over which they are measured.

StasisEnters 1972

A lineage persisting for millions of years with no directional change, within the range of variation seen in a single living population. In the record it is the usual condition, not the exception, and it is a fact to be explained rather than an absence of data.

Species selectionEnters 1975 – 1984

Differential survival and multiplication of species, caused by properties of species — geographic range, population structure, dispersal ability — rather than of individuals. It can drive trends in a direction opposite to selection within populations.

Mass extinctionEnters 1982 – 1984

An interval in which extinction rates rise far above background across many unrelated groups and environments at once. Five such events stand out in the marine record of the last 540 million years.

Phylogenetic comparative methodEnters 1985

A way of testing correlations across species that accounts for shared ancestry. Closely related species are not independent data points, so the comparison is made between differences along independent branches of the tree instead.

IdentifiabilityEnters 2020

Whether the data can, even in principle, distinguish between competing explanations. A model that fits equally well under wildly different histories has not been tested by the fit, however good it is.

Draws on other domains

Chapter I

Palaeontology Joins the Synthesis

By the 1930s population genetics had shown how selection, mutation and drift change gene frequencies, and the mathematics was unambiguous. It was also unverifiable over any interesting span of time, and palaeontologists, who had the span, were widely suspected of believing in internal drives and inherent directions. George Gaylord Simpson removed the suspicion in 1944.

Tempo and Mode in Evolution did a simple and decisive thing: it measured. Simpson took well-sampled lineages — horse teeth above all — expressed their change as rates, and compared those rates with what selection coefficients of the size population geneticists discussed would produce. The fossil rates were, if anything, embarrassingly slow. Nothing extra was needed to explain them. He also found that rates vary enormously between lineages, with some groups static for tens of millions of years, and described the rapid shifts by which a lineage enters a new way of life.

The settlement held for nearly thirty years, and it contained an assumption: that the history of life is microevolution run for a long time.

Chapter II

Stasis as Data

Niles Eldredge and Stephen Jay Gould attacked the assumption in 1972 from inside the record. Their observation was about what the gaps mean. A palaeontologist tracing a lineage up a cliff typically finds a species appear, vary trivially for millions of years, and vanish, with its replacement arriving already different. The orthodox reading was that the intermediate strata are missing. Eldredge and Gould proposed instead that the pattern is real: new species form rapidly, in small isolated populations, exactly as Mayr's account of speciation suggested, and then do not change. The record is an excellent archive of stasis.

That reframing turns an absence into a phenomenon. If lineages routinely sit still for ten million years while their populations are demonstrably under selection and demonstrably capable of rapid change, something is holding them. And if almost all change happens during brief speciation events, then the direction of a long-term trend depends on which species form and which survive — not only on what selection does inside them.

Steven Stanley pushed that to its conclusion in 1975: species originate and go extinct at different rates according to their own properties, and that is a selection process at a second level. A lineage whose species have small geographic ranges will speciate often and die often; one with wide ranges will do neither. Elisabeth Vrba insisted on the distinction that makes the claim testable — between a genuine species-level property and an organism-level trait that merely happens to affect speciation rate. Whether species selection is a real cause or a way of keeping books is still argued, but the argument established that evolutionary explanations have levels and that which level you are on must be stated.

Chapter III

Counting Catastrophes

Jack Sepkoski did something no theory required and everything since has depended on: he read the palaeontological literature and recorded the first and last known appearance of every marine animal family, and then every genus. With David Raup he turned the compendium into a time series of extinction rates, and in 1982 reported that five intervals rise far above the background — the end-Ordovician, the late Devonian, the end-Permian, the end-Triassic and the end-Cretaceous. The end-Permian is the worst, with something like four-fifths of marine species lost.

Then they overreached, instructively. In 1984 they reported that the extinction peaks recur about every 26 million years, which prompted astronomers to propose a dim companion star to the Sun, nicknamed Nemesis, that periodically disturbed the Oort cloud. Better dating and more careful statistics dissolved the periodicity, and no companion was found. The episode is worth remembering whenever a time series of a few dozen events yields a period.

Chapter IV

A Closer Look: Why Measured Rates Depend on the Stopwatch

Haldane's unit for evolutionary rate is the darwin: the change in the natural logarithm of a measurement per million years. It is the natural unit because it is dimensionless and additive, so a rate can be compared between tooth height, body mass and wing length.

Take horses. An early Eocene Hyracotherium massed roughly 25 kg; a modern horse masses roughly 500 kg; the interval is about 55 million years. The rate is

r=ln⁡500−ln⁡2555=ln⁡2055=2.99655≈0.054 darwins.r = \frac{\ln 500 - \ln 25}{55} = \frac{\ln 20}{55} = \frac{2.996}{55} \approx 0.054 \text{ darwins}.

Now take a measured rate from a living population. When guppies from a high-predation stream in Trinidad were introduced to a low-predation one, their life-history traits shifted over eleven years at rates between about 3,700 and 45,000 darwins. Compare:

45,0000.054≈8×105.\frac{45{,}000}{0.054} \approx 8 \times 10^{5}.

Short-term evolution is of order a million times faster than the long-term trend. Put the other way round: at the guppy rate, the entire 55-million-year increase in horse body mass takes

ln⁡2045,000 Myr=6.7×10−5 Myr≈67 years.\frac{\ln 20}{45{,}000} \text{ Myr} = 6.7 \times 10^{-5} \text{ Myr} \approx 67 \text{ years}.

Horses had roughly a million times longer than they needed. Something cancelled almost all of the change.

Philip Gingerich showed in 1983 what the cancellation looks like when plotted. Collect rate measurements over intervals from one year to ten million years, plot log rate against log interval, and the points fall on a line of slope close to −1-1. A slope of −1-1 means the total change, rate times interval, is roughly constant regardless of how long you watch — which is the signature of a random walk with reversals rather than a trend. Lineages move, and then move back.

This is not an artefact of mixing traits or methods, and it is not evidence against selection; populations plainly are under selection, and plainly do respond. It is a statement about what the responses add up to. Over a few generations, directional change dominates; over a million years, the fluctuations cancel and what remains is a thin residue. The modern formulation treats stasis as an adaptive peak that itself wanders slowly, with the population tracking it. Why the peak should wander so little, for so long, in so many lineages at once, is the paradox of stasis, and it is open.

Chapter V

What Trees Can and Cannot Tell

The other half of macroevolution comes from phylogenies rather than strata, and it has had two salutary shocks. The first was Felsenstein's in 1985. Comparative biology had been plotting one species against another and fitting lines, as though a hundred mammals were a hundred independent observations. They are not: most of the variation among them was inherited from shared ancestors, so the effective sample size is far smaller than the species count and the confidence in any such fit is inflated. Independent contrasts — comparing differences along separate branches — fixed it, and every comparative claim since is made on a tree.

The second shock was Stilianos Louca and Matthew Pennell's in 2020, and it was worse. A standard method had been to take a dated phylogeny of living species, fit a birth–death model to the branching times, and infer how speciation and extinction rates changed through time — often attributing the changes to climatic events. Louca and Pennell proved that infinitely many different histories of speciation and extinction generate exactly the same distribution of branching times. The data do not contain the information; only one combined quantity is identifiable. Thirty years of inferred rate shifts had been reading structure out of a flat ridge in a likelihood surface.

What survives is the part of the subject tied to things actually observed: the durations in palaeontology's databases, the dated boundaries that physics supplies, and the topologies that phylogenetics can defend. The lesson of 2020 is the same one the periodicity of 1984 taught, in a more rigorous dress: a pattern recovered by fitting a model is only as good as the question of whether a different history would have fitted equally well.

Applications

Where it is used

  • Conservation

    A baseline for the present extinction

    Claims that current extinction rates are tens to hundreds of times the background rate need a background, and the only source for one is the fossil record: average species durations of a few million years imply a background of roughly 0.1 to 1 extinctions per million species-years. The comparison is awkward — fossil rates average over millions of years and modern rates over decades — and correcting for that mismatch is an active argument.

    › Sources (2)
    • Barnosky, A. D. et al. (2011). Has the Earth's sixth mass extinction already arrived? Nature 471: 51–57.
    • De Vos, J. M. et al. (2015). Estimating the normal background rate of species extinction. Conservation Biology 29(2): 452–462.
  • Statistics↗ Mathematics · Statistical Inference

    When a good fit proves nothing

    The 2020 unidentifiability result is a statistical statement, not a biological one: a likelihood surface with a flat ridge along which infinitely many parameter combinations give the same fit. It has become a standard example of why model selection on fit alone can certify a conclusion the data cannot support, and of the value of checking identifiability before interpreting estimates.

    › Sources (1)
    • Louca, S. & Pennell, M. W. (2020). Extant timetrees are consistent with a myriad of diversification histories. Nature 580: 502–505.

Open problems

Where the map runs out

Open

The paradox of stasis

Open as of 2026; no consensus explanation for why short-term rates do not accumulate.

Rates of evolution measured in living populations are thousands to millions of times too fast to account for the changes seen over geological time — which is to say, almost all of the change observed over years and decades is later undone. Why lineages should fluctuate vigorously and go nowhere for millions of years, and then move, is unexplained.

Why it is hard

The candidate explanations — stabilising selection tracking an environment that itself returns, gene flow between populations swamping local adaptation, developmental constraint — make almost identical predictions for the fossil record, which rarely preserves the time resolution or the population structure needed to tell them apart.

What resolving it unlocks

Whether the fossil record can be read with the tools of population genetics at all. If short-term and long-term dynamics are governed by different things, macroevolution is a separate science rather than a longer view of the same one.

› Sources (2)
  • Gingerich, P. D. (1983). Rates of evolution: effects of time and body size. Science 222: 159–161.
  • Estes, S. & Arnold, S. J. (2007). Resolving the paradox of stasis. American Naturalist 169(2): 227–244.

Open

Why the animals appeared when they did

Open as of 2026; geochemical, ecological and genetic explanations all remain in play.

Almost all animal body plans appear in the fossil record within roughly 25 million years in the early Cambrian, after three billion years of microbial life. Proposed triggers include a rise in atmospheric oxygen, the origin of predation and the ecological arms race that followed, the assembly of the developmental toolkit of regulatory genes, and the simple arrival of mineralised skeletons that fossilise.

Why it is hard

The candidates are not alternatives so much as a tangle: oxygen permits large active animals, predation rewards skeletons, skeletons make the record visible, and the regulatory genes are dated by molecular clocks whose calibration is itself disputed. Pulling out a first cause requires time resolution the Ediacaran record does not supply.

What resolving it unlocks

Whether the appearance of complex animals was waiting on the environment, on ecology, or on a genetic innovation — which bears directly on how likely complex life is anywhere else.

› Sources (2)
  • Erwin, D. H. & Valentine, J. W. (2013). The Cambrian Explosion: The Construction of Animal Biodiversity. Roberts.
  • Sperling, E. A. et al. (2015). Oxygen, ecology, and the Cambrian radiation of animals. PNAS 112: 13446–13451.

Further reading

  1. Jablonski, D. (2017). Approaches to macroevolution. Evolutionary Biology 44: 427–450.

    A two-part review that lays out what is settled and what is still contested, with care about levels.

  2. Gould, S. J. (2002). The Structure of Evolutionary Theory. Harvard University Press.

    The long case for hierarchy and punctuation, by its chief advocate; argumentative and thorough.

  3. Benton, M. J. (2015). When Life Nearly Died, revised edition. Thames & Hudson.

    The end-Permian extinction, and how its magnitude was established.