Temporal patterns of dispersal-induced synchronization in population dynamics
Sungwoo Ahn1, Leonid L Rubchinsky2
1Department of Mathematics, East Carolina University, Greenville, NC, United States.
Journal of Theoretical Biology
|January 19, 2020
Summary
Ecological population synchronization can lead to extinction risks. This study reveals that intermittent synchrony patterns in predator-prey systems depend on individual patch dynamics, not just dispersal strength, impacting extinction risks.
Area of Science:
- Ecology
- Mathematical Biology
- Population Dynamics
Background:
- Ecological population synchronization is a common phenomenon with significant implications for extinction risk and environmental impacts.
- Previous studies focused on stable, complete synchronization in coupled oscillators, but weak dispersal can lead to intermittent synchrony.
Purpose of the Study:
- To investigate the temporal patterning of intermittent synchrony in a system of two dispersal-coupled Rosenzweig-MacArthur predator-prey oscillators.
- To analyze the distributions of desynchronized interval durations and their dependence on model parameters.
Main Methods:
- Modeling two dispersal-coupled Rosenzweig-MacArthur predator-prey oscillators.
- Analyzing the temporal dynamics of synchronized and desynchronized intervals.
- Examining the influence of model parameters, including predator-prey dynamics and dispersal strength, on synchrony patterns.
Main Results:
- The temporal patterning of synchronous dynamics is influenced by the properties of individual predator-prey patches and can vary independently of dispersal strength.
- Slower predator dynamics relative to prey dynamics result in numerous short desynchronizations rather than few long ones.
- Weaker dispersal may be sufficient to achieve strong synchrony when predator dynamics are slow.
Conclusions:
- Intermittent synchrony in ecological networks is complex, with temporal patterns shaped by both individual patch characteristics and coupling strengths.
- Understanding these patterns is crucial for predicting population dynamics and mitigating extinction risks in spatially structured ecosystems.
- The relative speeds of predator and prey population dynamics play a key role in determining the nature of synchrony and the required dispersal for synchronization.
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