Affiliation:
1. Interdisciplinary centre for population dynamics (CPop), Department of Biology, University of Southern Denmark
2. Department of Zoology, University of Oxford
3. Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo
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.
Funder
Danish Independent Research Fund
Publisher
eLife Sciences Publications, Ltd
Subject
General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience
Reference82 articles.
1. Living Planet Report 2020: Bending the Curve of Biodiversity Loss;Almond,2020
2. Temperature-related biodiversity change across temperate marine and terrestrial systems;Antão;Nature Ecology & Evolution,2020
3. exactextractr: Fast Extraction from Raster Datasets using Polygons 0.5.0;Baston,2020
4. What’s on the horizon for macroecology?;Beck;Ecography,2012
5. Impacts of climate change on the future of biodiversity;Bellard;Ecology Letters,2012
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献