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A model built on 3,327 fossil records across 396 species finds megaherbivores died out slightly more slowly than small mammals. Their problem was that new big species stopped arriving.
The Scientist · Science desk
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A study in Nature Communications by researchers at the National Museum of Natural Sciences (MNCN-CSIC), the National Research Center on Human Evolution (CENIEH) and the University of Alcala concludes that African megaherbivores lost diversity because new large species stopped emerging, not because large species were more extinction-prone [1][2]. The paper's title states the finding directly: lower speciation, not higher extinction, drove the collapse [3].
That reverses the standard reading, in which large body size is treated as an extinction liability [2]. Megaherbivores here means animals over a tonne, a group that today includes elephants and hippopotamuses and is described as acting as ecosystem engineers [4].
The team reconstructed evolutionary dynamics for herbivorous mammals over the past 23 million years using 3,327 fossil records covering 396 species, including hippopotamuses, antelopes and giraffes [5]. That is an average of roughly eight records per species, which is worth holding in mind when reading rate estimates [6]. The model incorporated body mass, tooth crown height, evolutionary relationships among families, and environmental change on the continent [7].
The sequence matters. Around 7.2 million years ago Africa began drying, shifting landscapes and vegetation and reconfiguring ungulate communities; at first both origination and extinction rose together [8][9]. Then, 3.6 million years ago, new species stopped appearing at the same pace while extinctions kept climbing, accelerating at the onset of the Pleistocene 2.58 million years ago [10]. The gap between the origination stall and the Pleistocene acceleration is about a million years [11].
The size comparison is the load-bearing number. During periods of peak aridity, animals under 45 kilograms went extinct only 15% faster than those over a tonne, but produced new species at 2.2 times the rate [12]. "We found that, contrary to what was previously thought, larger species did not go extinct faster than smaller ones. In fact, their extinction rates were somewhat lower," says MNCN researcher Juan Lopez Cantalapiedra, who adds that megaherbivores gave rise to new species much more slowly [13]. Oscar Sanisidro of the University of Alcala de Henares says aridification worked in both directions at once, favouring speciation among smaller ungulates while cutting it by nearly 20% among megaherbivores [14]. Casualties of the pattern include Deinotherium, an elephant relative with downward-curving tusks, and the Anthracotheriidae, hippo relatives that resembled large pigs [15][16].
The authors note the diversity loss was already visible long before humans had the technology to hunt animals of that size [17]. Ignacio A. Lazagabaster of CENIEH says human activity may have contributed to some recent disappearances but was not the main cause of the broad loss [18].
The operational consequence is unflattering for how large-mammal conservation is usually framed. If the deficit sits in origination rather than survival, there is no evolutionary replacement queue: the dynamics described here play out over intervals of a million years and more [10][11], while management plans run in decades. On this account, a lost megaherbivore lineage is a permanent line item, not a slot that refills.
Worth watching: whether the speciation asymmetry holds on other continents and under different fossil sampling densities, given roughly eight records per species here [6], and whether the 45-kilogram threshold used for the small-bodied comparison [12] is a real biological break or an artefact of how the size bins were drawn.
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A study by the National Museum of Natural Sciences (MNCN-CSIC), the National Research Center on Human Evolution (CENIEH) and the University of Alcala, published in Nature Communications, offers a new explanation for the decline of African megaherbivores.
The results reveal that the loss of megaherbivore diversity was not due to their being more vulnerable to extinction, as had previously been proposed, but was driven by particularly low rates of speciation.
Publication details: Juan L. Cantalapiedra et al, 'Lower speciation, not higher extinction, drove African megaherbivore diversity collapse', Nature Communications (2026), DOI: 10.1038/s41467-026-76105-2.
Around 7.2 million years ago Africa's climate began to grow drier, driving changes in landscapes and vegetation types that led to a reconfiguration of ungulate (hoofed mammal) communities.
At the start of the drying phase, both the emergence of new species and the disappearance of others increased.
MNCN researcher Juan Lopez Cantalapiedra: 'We found that, contrary to what was previously thought, larger species did not go extinct faster than smaller ones. In fact, their extinction rates were somewhat lower. The key is that megaherbivore species gave rise to new species much more slowly.'
Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Peer-reviewed study with quantified effect sizes, relayed by one non-independent summary
The underlying work is a peer-reviewed Nature Communications paper with a DOI, a stated dataset (3,327 fossil records, 396 species, 23 million years), named model covariates, and specific quantitative results (15% extinction differential, 2.2x speciation differential, ~20% aridity-driven speciation reduction). That is well above press-release-only reporting. It is held down by the fact that the sole supplied source is an institutional summary carrying only co-author quotes, with no uncertainty intervals, no treatment of fossil preservation bias, and an average of roughly 8.4 occurrences per species behind the rate estimates.
No uptake signal beyond the publication itself
The only observable event is the paper's own publication and announcement. The supplied material reports no citations, replications, dataset or code reuse, downstream reanalysis, or use of the result in conservation or policy practice, so uptake cannot be scored without inventing facts.
Quantified core finding modestly oversold by the human-causation conclusion
The central reframing is well matched to the reported numbers: a 2.2x speciation advantage for small-bodied herbivores against a mere 15% extinction disadvantage genuinely supports a birth-deficit rather than death-rate story, so the headline is close to aligned. The overshoot is at the edges: a paleontological rate model is used to conclude that human activity 'was not the main cause' of widespread large-herbivore loss, and that the decline was visible before humans could hunt such animals, without any archaeological evidence, uncertainty statement or dissenting voice in the coverage. The label 'new explanation' against a prior consensus also arrives with no independent assessment.
Institutional promotion of own result; no commercial stake visible
The item is structured as a research-institution announcement: the three co-authoring bodies are named up front, all three quotes come from co-authors, and the framing foregrounds a reversal of prior thinking, which is reputationally favourable to the authors. There is no independent or critical voice and no disclosure of funding or competing interests in the supplied text. Offsetting this, there is no product, market, licensing or revenue interest at stake, so the incentive pressure is academic credit rather than commercial.
Solid underlying citation, single non-independent channel
Confidence is mid-range. The facts, dates and effect sizes are internally consistent and traceable to a named peer-reviewed paper, so the descriptive claims are unlikely to be wrong as reported. But the cluster has one publisher, no corroboration, no visible methodological caveats, and its strongest interpretive claim about human causation is unverified against any second source, so overall assessment confidence cannot be high.
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1 article · August 20, 2026