ArticleeLife2022
Life history predicts global population responses to the weather in terrestrial mammals.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Disease, Drought, and Warming: A Triple Threat to a Declining High-Elevation Amphibian.Ecology and evolution · 2026Article
- The Critical Role of Coefficients: Updating Allometric Normalisation Constants for Modern Ecology and Modelling.Ecology letters · 2026Article
- Biodiversity conservation depends on the expansion of taxonomy and systematics research.Journal of mammalogy · 2025Article
- Comparative life-cycle analyses reveal interacting climatic and biotic drivers of population responses to climate change.PNAS nexus · 2025Article
- Structured Demographic Buffering: A Framework to Explore the Environmental Components and Demographic Mechanisms Underlying Demographic Buffering.Ecology letters · 2025Article
- Environmental Variability Shapes Life History of the World's Birds.Ecology letters · 2025Review
- Comparative life-history responses of lacewings to changes in temperature.Ecology and evolution · 2024Review
- Life history predicts global population responses to the weather in terrestrial mammals.eLife · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the looming threat of abrupt ecological disruption due to a changing climate, predicting which species are most vulnerable to environmental change is critical. The life-history of a species is an evolved response to its environmental context, and therefore a promising candidate for explaining differences in climate-change responses. However, we need broad empirical assessments from across the world's ecosystems to explore the link between life history and climate-change responses. Here, we use long-term abundance records from 157 species of terrestrial mammals and a two-step Bayesian meta-regression framework to investigate the link between annual weather anomalies, population growth rates, and species-level life history. Overall, we found no directional effect of temperature or precipitation anomalies or variance on annual population growth rates. Furthermore, population responses to weather anomalies were not predicted by phylogenetic covariance, and instead there was more variability in weather responses for populations within a species. Crucially, however, long-lived mammals with smaller litter sizes had smaller absolute population responses to weather anomalies compared with their shorter living counterparts with larger litters. These results highlight the role of species-level life history in driving responses to the environment.
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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.