ArticleEvolutionary applications2021
Predicting evolution over multiple generations in deteriorating environments using evolutionarily explicit Integral Projection Models.
Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Geographic variation in evolutionary rescue under climate change in a crop pest-predator system.Evolutionary applications · 2024Article
- A conceptual framework for understanding stress-induced physiological and transgenerational effects on population responses to climate change.Evolution letters · 2024Article
- Emergent increase in coral thermal tolerance reduces mass bleaching under climate change.Nature communications · 2023Article
- Life history mediates the trade-offs among different components of demographic resilience.Ecology letters · 2022Review
- Building integral projection models with nonindependent vital rates.Ecology and evolution · 2022Article
- Life histories as mosaics: Plastic and genetic components differ among traits that underpin life-history strategies.Evolution; international journal of organic evolution · 2022Article
- Predicting evolution over multiple generations in deteriorating environments using evolutionarily explicit Integral Projection Models.Evolutionary applications · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human impacts on the natural world often generate environmental trends that can have detrimental effects on distributions of phenotypic traits. We do not have a good understanding of how deteriorating environments might impact evolutionary trajectories across multiple generations, even though effects of environmental trends are often significant in the statistical quantitative genetic analyses of phenotypic trait data that are used to estimate additive genetic (co)variances. These environmental trends capture reaction norms, where the same (average) genotype expresses different phenotypic trait values in different environments. Not incorporated into the predictive models typically parameterised from statistical analyses to predict evolution, such as the breeder's equation. We describe how these environmental effects can be incorporated into multi-generational, evolutionarily explicit, structured population models before exploring how these effects can influence evolutionary dynamics. The paper is primarily a description of the modelling approach, but we also show how incorporation into models of the types of environmental trends that human activity has generated can have considerable impacts on the evolutionary dynamics that are predicted.
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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.