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Mutualism provides a basis for biodiversity in eco-evolutionary community assembly
1Department of Biosciences, Swansea University, Swansea, United Kingdom.
Plos Computational Biology
|September 2, 2025
Summary
Highly mutualistic communities foster complex and stable ecosystems. Evolution through speciation, especially in isolated communities, enhances this ecological complexity and stability more than species invasions alone.
Area of Science:
- Community ecology
- Eco-evolutionary dynamics
- Theoretical ecology
Background:
- Ecological theory suggests structural constraints on species interactions are vital for community persistence.
- Mechanisms driving the emergence of complex interaction networks and their stability remain poorly understood.
- Understanding how diverse interaction types coexist and form persistent networks is crucial.
Purpose of the Study:
- To investigate the assembly of complex, multi-type species interaction networks using an eco-evolutionary model.
- To determine the consequences of network assembly for ecosystem stability.
- To explore the roles of mutualism and speciation in ecological complexity.
Main Methods:
- Development and application of an eco-evolutionary model.
- Simulation of community assembly processes (ecological vs. evolutionary).
- Analysis of species interaction networks and their stability properties.
Main Results:
- Highly mutualistic communities are associated with complex and stable network configurations, supporting a positive complexity-stability relationship.
- Evolution by speciation promotes complex network emergence more effectively than ecological assembly via species invasions.
- Communities evolved in isolation exhibit disproportionately higher complexity and a wider range of outcomes.
Conclusions:
- Mutualism plays a key role in generating complex and stable ecological networks.
- Speciation is a significant driver of ecological complexity and community stability.
- Eco-evolutionary models provide valuable insights into the formation of persistent, complex ecosystems.
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