Extending eco‐evolutionary theory with oligomorphic dynamics Article Swipe
Sébastien Lion
,
Akira Sasaki
,
Mike Boots
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/ele.14183
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/ele.14183
Understanding the interplay between ecological processes and the evolutionary dynamics of quantitative traits in natural systems remains a major challenge. Two main theoretical frameworks are used to address this question, adaptive dynamics and quantitative genetics, both of which have strengths and limitations and are often used by distinct research communities to address different questions. In order to make progress, new theoretical developments are needed that integrate these approaches and strengthen the link to empirical data. Here, we discuss a novel theoretical framework that bridges the gap between quantitative genetics and adaptive dynamics approaches. ‘Oligomorphic dynamics’ can be used to analyse eco‐evolutionary dynamics across different time scales and extends quantitative genetics theory to account for multimodal trait distributions, the dynamical nature of genetic variance, the potential for disruptive selection due to ecological feedbacks, and the non‐normal or skewed trait distributions encountered in nature. Oligomorphic dynamics explicitly takes into account the effect of environmental feedback, such as frequency‐ and density‐dependent selection, on the dynamics of multi‐modal trait distributions and we argue it has the potential to facilitate a much tighter integration between eco‐evolutionary theory and empirical data.
Related Topics
Concepts
Evolutionary dynamics
Trait
Quantitative genetics
Selection (genetic algorithm)
Ecology
Natural selection
Adaptation (eye)
Dynamics (music)
Computer science
Evolutionary biology
Biology
Artificial intelligence
Sociology
Genetic variation
Population
Demography
Pedagogy
Programming language
Gene
Biochemistry
Neuroscience
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/ele.14183
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ele.14183
- OA Status
- bronze
- Cited By
- 16
- References
- 152
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4321600601
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4321600601Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/ele.14183Digital Object Identifier
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Extending eco‐evolutionary theory with oligomorphic dynamicsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-02-22Full publication date if available
- Authors
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Sébastien Lion, Akira Sasaki, Mike BootsList of authors in order
- Landing page
-
https://doi.org/10.1111/ele.14183Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ele.14183Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ele.14183Direct OA link when available
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Evolutionary dynamics, Trait, Quantitative genetics, Selection (genetic algorithm), Ecology, Natural selection, Adaptation (eye), Dynamics (music), Computer science, Evolutionary biology, Biology, Artificial intelligence, Sociology, Genetic variation, Population, Demography, Pedagogy, Programming language, Gene, Biochemistry, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
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16Total citation count in OpenAlex
- Citations by year (recent)
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2025: 9, 2024: 4, 2023: 3Per-year citation counts (last 5 years)
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152Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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