ArticleEvolution; international journal of organic evolution2021
Branching patterns in phylogenies cannot distinguish diversity-dependent diversification from time-dependent diversification.
Article in Evolution; international journal of organic evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Diversification patterns of the southwest Australian biodiversity hotspot reveal a novel macroevolutionary pathway to plant hyperdiversity.The New phytologist · 2025Article
- Speciation completion rates have limited impact on macroevolutionary diversification.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Analysis of intrinsic evolutionary factors leading to microendemic distributions in New Caledonian leaf beetles.Scientific reports · 2023Article
- Is species richness mediated by functional and genetic divergence? A global analysis in birds.Functional ecology · 2023Article
- Evolutionary models demonstrate rapid and adaptive diversification of Australo-Papuan pythons.Biology letters · 2022Article
- Diversification dynamics in the Neotropics through time, clades, and biogeographic regions.eLife · 2022Article
- Species-range-size distributions: Integrating the effects of speciation, transformation, and extinction.Ecology and evolution · 2022Article
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4 authors.
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Abstract
One of the primary goals of macroevolutionary biology has been to explain general trends in long-term diversity patterns, including whether such patterns correspond to an upscaling of processes occurring at lower scales. Reconstructed phylogenies often show decelerated lineage accumulation over time. This pattern has often been interpreted as the result of diversity-dependent (DD) diversification, where the accumulation of species causes diversification to decrease through niche filling. However, other processes can also produce such a slowdown, including time dependence without diversity dependence. To test whether phylogenetic branching patterns can be used to distinguish these two mechanisms, we formulated a time-dependent, but diversity-independent model that matches the expected diversity through time of a DD model. We simulated phylogenies under each model and studied how well likelihood methods could recover the true diversification mode. Standard model selection criteria always recovered diversity dependence, even when it was not present. We correct for this bias by using a bootstrap method and find that neither model is decisively supported. This implies that the branching pattern of reconstructed trees contains insufficient information to detect the presence or absence of diversity dependence. We advocate that tests encompassing additional data, for example, traits or range distributions, are needed to evaluate how diversity drives macroevolutionary trends.
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