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Overcompensation and phase effects in a cyclic common vole population: between first and second-order cycles
Frédéric Barraquand1,2, Adrien Pinot1,3, Nigel G Yoccoz2
1Centre d'Etudes Biologiques de Chizé, CNRS, Beauvoir-sur-Niort, France.
Common vole populations exhibit 3-year cycles driven by overcompensation, not delayed density dependence. This suggests first-order cycles, challenging traditional models for cyclic populations.
Area of Science:
- Ecology
- Population Dynamics
- Mathematical Biology
Background:
- Population cycles in voles are often attributed to one-year delayed density dependence.
- Some research suggests common vole populations may exhibit first-order cycles due to strong overcompensation.
Purpose of the Study:
- To investigate the mechanisms driving a 3-year population cycle in a common vole (Microtus arvalis) population in western France.
- To compare overcompensating nonlinear models with traditional second-order models for explaining population dynamics.
Main Methods:
- Fitting several overcompensating nonlinear population dynamics models (Hassell, Maynard-Smith, Slatkin) to common vole population data.
- Analyzing the role of direct density dependence (DD) and delayed density dependence in population crashes.
- Investigating phase-driven modulation of direct density dependence.
Main Results:
- Overcompensating direct density dependence adequately describes winter population crashes.
- One-year delayed density dependence was not responsible for the observed crashes, indicating they are not classical second-order cycles.
- A phase-driven modulation of direct density dependence explains the 3-year cycle length by maintaining a low phase after peaks.
Conclusions:
- The common vole population exhibits first-order cycles with a low phase, rather than fully second-order cycles.
- Traditional log-linear second-order autoregressive models may misinterpret the timing of density dependence.
- Nonlinear models provide a better description of cyclic population dynamics, suggesting potential roles for parasites or food in population crashes.
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