Integrating eco‐evolutionary dynamics and modern coexistence theory Article Swipe
YOU?
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· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/ele.14078
Community ecology typically assumes that competitive exclusion and species coexistence are unaffected by evolution on the time scale of ecological dynamics. However, recent studies suggest that rapid evolution operating concurrently with competition may enable species coexistence. Such findings necessitate general theory that incorporates the coexistence contributions of eco‐evolutionary processes in parallel with purely ecological mechanisms and provides metrics for quantifying the role of evolution in shaping competitive outcomes in both modelling and empirical contexts. To foster the development of such theory, here we extend the interpretation of the two principal metrics of modern coexistence theory—niche and competitive ability differences—to systems where competitors evolve. We define eco‐evolutionary versions of these metrics by considering how invading and resident species adapt to conspecific and heterospecific competitors. We show that the eco‐evolutionary niche and competitive ability differences are sums of ecological and evolutionary processes, and that they accurately predict the potential for stable coexistence in previous theoretical studies of eco‐evolutionary dynamics. Finally, we show how this theory frames recent empirical assessments of rapid evolution effects on species coexistence, and how empirical work and theory on species coexistence and eco‐evolutionary dynamics can be further integrated.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/ele.14078
- OA Status
- green
- Cited By
- 40
- References
- 86
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4291116947
Raw OpenAlex JSON
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https://openalex.org/W4291116947Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/ele.14078Digital Object Identifier
- Title
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Integrating eco‐evolutionary dynamics and modern coexistence theoryWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-08-12Full publication date if available
- Authors
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Masato Yamamichi, Theo Gibbs, Jonathan M. LevineList of authors in order
- Landing page
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https://doi.org/10.1111/ele.14078Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/9804941Direct OA link when available
- Concepts
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Ecology, Dynamics (music), Evolutionary dynamics, Evolutionary theory, Biology, Evolutionary biology, Sociology, Epistemology, Population, Demography, Pedagogy, PhilosophyTop concepts (fields/topics) attached by OpenAlex
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40Total citation count in OpenAlex
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2025: 9, 2024: 12, 2023: 14, 2022: 4, 2021: 1Per-year citation counts (last 5 years)
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86Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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