ArticleBiology letters2016
Extinction intensity, selectivity and their combined macroevolutionary influence in the fossil record.
Article in Biology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Extinction drives both expansion and contraction of morphological disparity in trilobites.Proceedings. Biological sciences · 2025Article
- Extinction cascades, community collapse, and recovery across a Mesozoic hyperthermal event.Nature communications · 2024Article
- Respiratory protein-driven selectivity during the Permian-Triassic mass extinction.Innovation (Cambridge (Mass.)) · 2024Article
- Reduced strength and increased variability of extinction selectivity during mass extinctions.Royal Society open science · 2023Article
- How predictable are mass extinction events?Royal Society open science · 2023Article
- Selectivity of mass extinctions: Patterns, processes, and future directions.Cambridge prisms. Extinction · 2023Review
- Does functional redundancy determine the ecological severity of a mass extinction event?Proceedings. Biological sciences · 2022Article
- Article
- The evolution of complex life and the stabilization of the Earth system.Interface focus · 2020Review
- How predictable is extinction? Forecasting species survival at million-year timescales.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- Article
- Pattern, process, inference and prediction in extinction biology.Biology letters · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The macroevolutionary effects of extinction derive from both intensity of taxonomic losses and selectivity of losses with respect to ecology, physiology and/or higher taxonomy. Increasingly, palaeontologists are using logistic regression to quantify extinction selectivity because the selectivity metric is independent of extinction intensity and multiple predictor variables can be assessed simultaneously. We illustrate the use of logistic regression with an analysis of physiological buffering capacity and extinction risk in the Phanerozoic marine fossil record. We propose the geometric mean of extinction intensity and selectivity as a metric for the influence of extinction events. The end-Permian mass extinction had the largest influence on the physiological composition of the fauna owing to its combination of high intensity and strong selectivity. In addition to providing a quantitative measure of influence to compare among past events, this approach provides an avenue for quantifying the risk posed by the emerging biodiversity crisis that goes beyond a simple projection of taxonomic losses.
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Registered trials
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