ArticleProceedings. Biological sciences2012
Life history predicts risk of species decline in a stochastic world.
Article in Proceedings. Biological sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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
5 citing papers in PubMed.
- AEGIS: Individual-based modeling of life history evolution.PLoS computational biology · 2026Article
- Seasonal Breeding and Morphological Variation Across Age and Sex in the Antioquia Brushfinch (Ecology and evolution · 2025Article
- A demographic approach to understanding the effects of climate on population growth.Oecologia · 2020Article
- Guidance for Developing Amphibian Population Models for Ecological Risk Assessment.Integrated environmental assessment and management · 2020Article
- Indirect effects of human-induced environmental change on offspring production mediated by behavioural responses.Oecologia · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding what traits determine the extinction risk of species has been a long-standing challenge. Natural populations increasingly experience reductions in habitat and population size concurrent with increasing novel environmental variation owing to anthropogenic disturbance and climate change. Recent studies show that a species risk of decline towards extinction is often non-random across species with different life histories. We propose that species with life histories in which all stage-specific vital rates are more evenly important to population growth rate may be less likely to decline towards extinction under these pressures. To test our prediction, we modelled declines in population growth rates under simulated stochastic disturbance to the vital rates of 105 species taken from the literature. Populations with more equally important vital rates, determined using elasticity analysis, declined more slowly across a gradient of increasing simulated environmental variation. Furthermore, higher evenness of elasticity was significantly correlated with a reduced chance of listing as Threatened on the International Union for Conservation of Nature Red List. The relative importance of life-history traits of diverse species can help us infer how natural assemblages will be affected by novel anthropogenic and climatic disturbances.
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Registered trials
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