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Evolution between two competing macrophyte populations along a resource gradient leads to collapse in a bistable lake
Sirine Boucenna1, Gael Raoul2, Vasilis Dakos1
1Institut des Sciences de l'Evolution de Montpellier (ISEM), Université de Montpellier, CNRS, IRD, EPHE, Montpellier, France.
Theoretical Population Biology
|May 15, 2025
Summary
Eco-evolutionary feedbacks significantly impact shallow lake tipping points. Trait evolution in aquatic plants can lead to complex dynamics, influencing ecosystem stability and the thresholds for abrupt shifts.
Area of Science:
- Ecology
- Evolutionary Biology
- Environmental Science
Background:
- Shallow lake ecosystems can abruptly shift from clear to turbid states due to eutrophication.
- The influence of evolutionary processes and trait variation on these ecological tipping points is not well understood.
- Eco-evolutionary feedbacks are crucial for understanding transitions in bistable ecosystems.
Purpose of the Study:
- To investigate the role of eco-evolutionary feedbacks in shallow lake ecosystems.
- To analyze how trait evolution in macrophytes affects competition for light and nutrients.
- To understand the impact of trait variation on ecological tipping points and alternative stable states.
Main Methods:
- Utilized Adaptive Dynamics and a structured population model.
- Analyzed the evolution of growth depth in submerged and floating macrophyte populations.
- Examined asymmetric competition for nutrients and light along a nutrient diffusion gradient.
Main Results:
- Trait evolution can drive complex dynamics such as evolutionary oscillations, diversification, and evolutionary suicide.
- Co-evolution between competing macrophyte populations has a stabilizing effect.
- The dynamics were not significantly altered when only one population evolved compared to co-evolution.
Conclusions:
- Evolutionary processes play a significant role in the dynamics of shallow lake ecosystems.
- Trait evolution can influence the stability and thresholds of alternative states in bistable systems.
- Understanding eco-evolutionary dynamics is key to managing and predicting ecological shifts.
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