A theory of ecological invasions and its implications for eco-evolutionary dynamics

Predicting the outcomes of species invasions is a central goal of ecology, a task made especially challenging due to ecological feedbacks. To address this, we develop a general theory of ecological invasions applicable to a wide variety of ecological models: including Lotka-Volterra models, consumer resource models, and models with cross feeding. Importantly, our framework remains valid even when invading evolved (nonrandom) communities and accounts for invasion-driven species extinctions. We derive analytical expressions relating invasion fitness to invader abundance, shifts in the community, and extinction conditions. These results can be understood through a quantity we term "dressed invasion fitness," which augments the traditional notion of invasion fitness by incorporating ecological feedbacks. We apply our theory to analyze short-term evolutionary dynamics through a series of invasions by mutants whose traits are correlated with an existing parent. We demonstrate that, generically, mutants and parents can coexist, often by driving the extinction of low-abundance species. We validate theoretical predictions against experimental datasets spanning ecosystems from plants to microbial protists. Our work highlights the central role of ecological feedbacks in shaping community responses to invasions and mutations, suggesting that parent-mutant coexistence is widespread in eco-evolutionary dynamics.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-12-01
DOI
https://doi.org/10.1073/pnas.2505850122
Citations
1
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
1.82
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article

A theory of ecological invasions and its implications for eco-evolutionary dynamics

Pankaj Mehta, Akshit Goyal, Emmy Blumenthal, Zhijie Feng
1 citations
Proceedings of the National Academy of Sciences
Evolution and Genetic Dynamics
1.82
article

A theory of ecological invasions and its implications for eco-evolutionary dynamics

Pankaj Mehta, Akshit Goyal, Emmy Blumenthal, Zhijie Feng
article en
1 citations

Abstract

Predicting the outcomes of species invasions is a central goal of ecology, a task made especially challenging due to ecological feedbacks. To address this, we develop a general theory of ecological invasions applicable to a wide variety of ecological models: including Lotka-Volterra models, consumer resource models, and models with cross feeding. Importantly, our framework remains valid even when invading evolved (nonrandom) communities and accounts for invasion-driven species extinctions. We derive analytical expressions relating invasion fitness to invader abundance, shifts in the community, and extinction conditions. These results can be understood through a quantity we term "dressed invasion fitness," which augments the traditional notion of invasion fitness by incorporating ecological feedbacks. We apply our theory to analyze short-term evolutionary dynamics through a series of invasions by mutants whose traits are correlated with an existing parent. We demonstrate that, generically, mutants and parents can coexist, often by driving the extinction of low-abundance species. We validate theoretical predictions against experimental datasets spanning ecosystems from plants to microbial protists. Our work highlights the central role of ecological feedbacks in shaping community responses to invasions and mutations, suggesting that parent-mutant coexistence is widespread in eco-evolutionary dynamics.

Proceedings of the National Academy of SciencesVol. 122(49)
Boston University (US), Tata Institute of Fundamental Research (IN), Princeton University (US), International Centre for Theoretical Sciences (IN), St. Joseph Medical Center (US)
Openalex Percentile: Top 11%
Evolution and Genetic Dynamics
1.82
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A theory of ecological invasions and its implications for eco-evolutionary dynamics — Pankaj Mehta, Akshit Goyal, et al. · Proceedings of the National Academy of Sciences (2025) | TGRS Research Map | TGRS