ArticleSystematic biology2016
Quantifying Age-dependent Extinction from Species Phylogenies.
Article in Systematic biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed.
- Age-dependent Phylodynamics with Application to Single-cell Lineage Trees.Molecular biology and evolution · 2026Article
- Parameter Estimation from Phylogenetic Trees Using Neural Networks and Ensemble Learning.Systematic biology · 2026Article
- A Diffusion-Based Approach for Simulating Forward-in-Time State-Dependent Speciation and Extinction Dynamics.Bulletin of mathematical biology · 2024Article
- Article
- The evolution of the additive variance of a trait under stabilizing selection after autopolyploidization.Journal of evolutionary biology · 2022Article
- Closing the gap between palaeontological and neontological speciation and extinction rate estimates.Nature communications · 2018Article
- Estimating Age-Dependent Extinction: Contrasting Evidence from Fossils and Phylogenies.Systematic biology · 2018Article
- Article
- Morphological Innovations and Vast Extensions of Mountain Habitats Triggered Rapid Diversification Within the Species-Rich Irano-Turanian GenusFrontiers in genetics · 2018Article
- Bayesian Total-Evidence Dating Reveals the Recent Crown Radiation of Penguins.Systematic biology · 2017Article
- Origins of Biodiversity.PLoS biology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several ecological factors that could play into species extinction are expected to correlate with species age, i.e., time elapsed since the species arose by speciation. To date, however, statistical tools to incorporate species age into likelihood-based phylogenetic inference have been lacking. We present here a computational framework to quantify age-dependent extinction through maximum likelihood parameter estimation based on phylogenetic trees, assuming species lifetimes are gamma distributed. Testing on simulated trees shows that neglecting age dependence can lead to biased estimates of key macroevolutionary parameters. We then apply this method to two real data sets, namely a complete phylogeny of birds (class Aves) and a clade of self-compatible and -incompatible nightshades (Solanaceae), gaining initial insights into the extent to which age-dependent extinction may help explain macroevolutionary patterns. Our methods have been added to the R package TreePar.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.