Evidence map›Paper›PMID 27655762›Full record

ArticleProceedings. Biological sciences2016

Predicting evolutionary rescue via evolving plasticity in stochastic environments.

Jaime Ashander, Luis-Miguel Chevin, Marissa L Baskett

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
11.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 127 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. 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 · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Jaime AshanderDepartment of Environmental Science and Policy, UC Davis, One Shields Ave, Davis, CA 95616, USA Center for Population Biology, UC Davis, One Shields Ave, Davis, CA 95616, USA jashander@ucdavis.edu.ORCID 0000-0002-1841-4768
Luis-Miguel ChevinCentre d'Ecologie Fonctionnelle & Evolutive (CEFE), CNRS, Montpellier, Cedex 5, France.ORCID 0000-0003-4188-4618
Marissa L BaskettDepartment of Environmental Science and Policy, UC Davis, One Shields Ave, Davis, CA 95616, USA Center for Population Biology, UC Davis, One Shields Ave, Davis, CA 95616, USA.
University of California, Davis · USCentre National de la Recherche Scientifique · FR

Funding

European Research Council 678140
6 · The paper itself

Abstract

Phenotypic plasticity and its evolution may help evolutionary rescue in a novel and stressful environment, especially if environmental novelty reveals cryptic genetic variation that enables the evolution of increased plasticity. However, the environmental stochasticity ubiquitous in natural systems may alter these predictions, because high plasticity may amplify phenotype-environment mismatches. Although previous studies have highlighted this potential detrimental effect of plasticity in stochastic environments, they have not investigated how it affects extinction risk in the context of evolutionary rescue and with evolving plasticity. We investigate this question here by integrating stochastic demography with quantitative genetic theory in a model with simultaneous change in the mean and predictability (temporal autocorrelation) of the environment. We develop an approximate prediction of long-term persistence under the new pattern of environmental fluctuations, and compare it with numerical simulations for short- and long-term extinction risk. We find that reduced predictability increases extinction risk and reduces persistence because it increases stochastic load during rescue. This understanding of how stochastic demography, phenotypic plasticity, and evolution interact when evolution acts on cryptic genetic variation revealed in a novel environment can inform expectations for invasions, extinctions, or the emergence of chemical resistance in pests.

Indexed as

Biological EvolutionEnvironmentGenetic VariationModels, GeneticPhenotypeBaldwin effectcryptic genetic variationenvironmental predictabilityenvironmental stochasticityevolutionary rescuephenotypic plasticity

Identifiers

PMID27655762
PMCPMC5046909
OpenAlexW2521143611

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.