title: Overcompensation and phase effects in a cyclic common vole population: between first and second-order cycles.
abstract: Population cycles in voles are often thought to be generated by one-year delayed density dependence on the annual population growth rate. In common voles, however, it has been suggested by Turchin (2003) that some populations exhibit first-order cycles, resulting from strong overcompensation (i.e. carrying capacity overshoots in peak years, with only an effect of the current year abundance on annual growth rates). We focus on a common vole (Microtus arvalis) population from western France that exhibits 3-year cycles. Several overcompensating nonlinear models for populations dynamics are fitted to the data, notably those of Hassell, and Maynard-Smith and Slatkin. Overcompensating direct density dependence (DD) provides a satisfactory description of winter crashes, and one-year delayed density dependence is not responsible for the crashes, thus these are not classical second-order cycles. A phase-driven modulation of direct density dependence maintains a low-phase, explaining why the cycles last three years instead of two. Our analyses suggest that some of this phase dependence can be expressed as one-year delayed DD, but phase dependence provides a better description. Hence, modelling suggests that cycles in this population are first-order cycles with a low phase after peaks, rather than fully second-order cycles. However, based on the popular log-linear second-order autoregressive model, we would conclude only that negative delayed density dependence exists. The additive structure of this model cannot show when delayed DD occurs (here, during lows rather than peaks). Our analyses thus call into question the automated use of second-order log-linear models, and suggests that more attention should be given to non-(log)linear models when studying cyclic populations. From a biological viewpoint, the fast crashes through overcompensation that we found suggest they might be caused by parasites or food rather than predators, though predators might have a role in maintaining the low phase and spatial synchrony.
authors.affiliation: Centre d'Etudes Biologiques de Chizé, CNRS, Beauvoir-sur-Niort, France.|Department of Arctic and Marine Biology, University of Tromsø, Tromsø, Norway.
authors.forename: Frédéric
authors.initials: F
authors.lastname: Barraquand
authors.affiliation: Centre d'Etudes Biologiques de Chizé, CNRS, Beauvoir-sur-Niort, France.|VetAgro Sup, Campus agronomique de Clermont, Clermont-Ferrand, France.
authors.forename: Adrien
authors.initials: A
authors.lastname: Pinot
authors.affiliation: Department of Arctic and Marine Biology, University of Tromsø, Tromsø, Norway.
authors.forename: Nigel G
authors.initials: NG
authors.lastname: Yoccoz
authors.affiliation: Centre d'Etudes Biologiques de Chizé, CNRS, Beauvoir-sur-Niort, France.
authors.forename: Vincent
authors.initials: V
authors.lastname: Bretagnolle
mesh_terms: D000818:Animals; D003411:Arvicolinae / Q000502:physiology*; D005602:France; D016018:Least-Squares Analysis; D008954:Models, Biological; D017711:Nonlinear Dynamics; D011157:Population Dynamics; D012621:Seasons
keywords: carrying capacity overshoots; density dependence; nonlinear; oscillatory dynamics; rodents