ArticleNature ecology & evolution2020
Phenotypic memory drives population growth and extinction risk in a noisy environment.
Article in Nature ecology & evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Temporal dynamics and adaptiveness of thermal phenotypic plasticity in a ciliate.Evolution letters · 2025Article
- Nutrient storage links past thermal exposure to current performance in phytoplankton.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Experimental ecology and the balance between realism and feasibility in aquatic ecosystems.Nature communications · 2025Review
- Impacts of limits to adaptation on population and community persistence in a changing environment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Linking selection to demography in experimental evolution of active death in a unicellular organism.Proceedings. Biological sciences · 2024Article
- Phenotypic memory in quorum sensing.PLoS computational biology · 2024Article
- Evolutionary rescue in a fluctuating environment: periodic versus quasi-periodic environmental changes.Proceedings. Biological sciences · 2023Article
- Internal cues for optimizing reproduction in a varying environment.Proceedings. Biological sciences · 2023Article
- Phenotypic plasticity evolves at multiple biological levels in response to environmental predictability in a long-term experiment with a halotolerant microalga.PLoS biology · 2023Article
- Experimental evolution of environmental tolerance, acclimation, and physiological plasticity in a randomly fluctuating environment.Evolution letters · 2022Article
- Exploring links between climatic predictability and the evolution of within- and transgenerational plasticity.Ecology and evolution · 2022Article
- Plasticity across levels: Relating epigenomic, transcriptomic, and phenotypic responses to osmotic stress in a halotolerant microalga.Molecular ecology · 2022Article
- A method to predict the response to directional selection using a Kalman filter.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Increasing temporal variance leads to stable species range limits.Proceedings. Biological sciences · 2022Article
- Predictability of thermal fluctuations influences functional traits of a cosmopolitan marine diatom.Proceedings. Biological sciences · 2022Article
- Detecting climate signals in populations across life histories.Global change biology · 2022Article
- Precipitation predictability affects intra- and trans-generational plasticity and causes differential selection on root traits ofFrontiers in plant science · 2022Article
- Fluctuating selection and global change: a synthesis and review on disentangling the roles of climate amplitude, predictability and novelty.Proceedings. Biological sciences · 2021Review
- Predicting population genetic change in an autocorrelated random environment: Insights from a large automated experiment.PLoS genetics · 2021Article
- Life in fluctuating environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Random environmental fluctuations pose major threats to wild populations. As patterns of environmental noise are themselves altered by global change, there is a growing need to identify general mechanisms underlying their effects on population dynamics. This notably requires understanding and predicting population responses to the colour of environmental noise, in other words its temporal autocorrelation pattern. Here, we show experimentally that environmental autocorrelation has a large influence on population dynamics and extinction rates, which can be predicted accurately provided that a memory of past environment is accounted for. We exposed nearly 1,000 lines of the microalgae Dunaliella salina to randomly fluctuating salinity, with autocorrelation ranging from negative to highly positive. We found lower population growth, and twice as many extinctions, under lower autocorrelation. These responses closely matched predictions based on a tolerance curve with environmental memory, showing that non-genetic inheritance can be a major driver of population dynamics in randomly fluctuating environments.
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Registered trials
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