ArticlePloS one2009
Quantitative trait evolution and environmental change.
Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Evolutionary rescue in resistance to pesticides.Proceedings. Biological sciences · 2024Article
- Phenotypic clines in herbivore resistance and reproductive traits in wild plants along an agricultural gradient.PloS one · 2023Article
- Adaptive and nonadaptive plasticity in changing environments: Implications for sexual species with different life history strategies.Ecology and evolution · 2021Article
- Article
- Plastid Genomes of the Early Vascular Plant GenusInternational journal of molecular sciences · 2021Article
- Environmental fluctuations can promote evolutionary rescue in high-extinction-risk scenarios.Proceedings. Biological sciences · 2020Article
- Extinction rates of non-avian dinosaur species are uncorrelated with the rate of evolution of phylogenetically informative characters.Biology letters · 2020Article
- Elevated mutation rates are unlikely to evolve in sexual species, not even under rapid environmental change.BMC evolutionary biology · 2019Article
- Intraspecific Trait Variation and Phenotypic Plasticity Mediate Alpine Plant Species Response to Climate Change.Frontiers in plant science · 2018Article
- Predicting evolutionary rescue via evolving plasticity in stochastic environments.Proceedings. Biological sciences · 2016Article
- Article
- Extinction risk and eco-evolutionary dynamics in a variable environment with increasing frequency of extreme events.Journal of the Royal Society, Interface · 2014Article
- Rapid evolution of quantitative traits: theoretical perspectives.Evolutionary applications · 2014Article
- Potential for evolutionary responses to climate change - evidence from tree populations.Global change biology · 2013Review
- Genetically based population divergence in overwintering energy mobilization in brook charr (Salvelinus fontinalis).Genetica · 2013Article
- Evolutionary rescue beyond the models.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2013Review
- How the type of anthropogenic change alters the consequences of ecological traps.Proceedings. Biological sciences · 2012Article
- Decoupling of differentiation between traits and their underlying genes in response to divergent selection.Heredity · 2012Article
- Climate change and evolutionary adaptation.Nature · 2011Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGiven the recent changes in climate, there is an urgent need to understand the evolutionary ability of populations to respond to these changes. METHODOLOGY/PRINCIPAL
findingsWe performed individual-based simulations with different shapes of the fitness curve, different heritabilities, different levels of density compensation, and different autocorrelation of environmental noise imposed on an environmental trend to study the ability of a population to adapt to changing conditions. The main finding is that when there is a positive autocorrelation of environmental noise, the outcome of the evolutionary process is much more unpredictable compared to when the noise has no autocorrelation. In addition, we found that strong selection resulted in a higher load, and more extinctions, and that this was most pronounced when heritability was low. The level of density-compensation was important in determining the variance in load when there was strong selection, and when genetic variance was lower when the level of density-compensation was low.
conclusionsThe strong effect of the details of the environmental fluctuations makes predictions concerning the evolutionary future of populations very hard to make. In addition, to be able to make good predictions we need information on heritability, fitness functions and levels of density compensation. The results strongly suggest that patterns of environmental noise must be incorporated in future models of environmental change, such as global warming.
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