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Competition in di- and tri-trophic food web modules
1Institute of Entomology, Biology Center, Academy of Sciences of the Czech Republic, Czech Republic; Department of Mathematics and Biomathematics, Faculty of Science, University of South Bohemia, Branišovská 31, 370 05 České Budějovice, Czech Republic.
Flexible foraging in predators significantly reduces competition and boosts species coexistence in food webs. This behavior enhances food web stability and species richness, impacting community responses to environmental changes.
Area of Science:
- Ecology
- Theoretical Ecology
- Food Web Dynamics
Background:
- Apparent competition occurs when species share a predator.
- Food web modules with many competing species are crucial for understanding community stability.
- Predator foraging strategies (fixed vs. flexible) influence population dynamics.
Purpose of the Study:
- To investigate competition in di- and tri-trophic food web modules.
- To analyze the impact of predator foraging flexibility on species coexistence and food web robustness.
- To determine how environmental carrying capacity and food web connectance affect these dynamics.
Main Methods:
- Modeling of food web modules, including apparent competition and diamond-like structures.
- Analysis of predator behavior: fixed prey preference versus flexible foraging for fitness maximization.
- Mathematical analysis using Lyapunov functions to assess global stability.
Main Results:
- Optimal flexible foraging significantly weakens apparent competition, promoting species coexistence.
- Food web robustness (proportion of surviving species) is not negatively correlated with increased connectance.
- Flexible prey switching results in population equilibria similar to those with specialized predators.
Conclusions:
- Predator foraging flexibility is a key factor influencing species richness and community responses to environmental changes.
- Flexible foraging can stabilize food webs and enhance coexistence, even with increased complexity.
- Understanding predator behavior is essential for predicting food web stability and resilience.
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