Power spectra reveal the influence of stochasticity on nonlinear population dynamics.
Stochasticity alters the nonlinear dynamics of inherently cycling populations. The power spectrum can describe and explain the impacts of stochasticity. We fitted models to short observed time series of flour beetle populations in the frequency domain, then used a well fitting stochastic mechanistic model to generate detailed predictions of population spectra. Some predicted spectral peaks represent periodic phenomena induced or modified by stochasticity and were experimentally confirmed. For one experimental treatment, linearization theory explained that these peaks represent overcompensatory decay of deviations from deterministic oscillation. In another treatment, stochasticity caused frequent directional phase shifting around a cyclic attractor. This directional phase shifting was not explained by linearization theory and modified the periodicity of the system. If field systems exhibit directional phase shifting, then changing the intensity of demographic or environmental noise while holding constant the structure of the noise can change the main frequency of population fluctuations.
Reuman
Daniel C
DC
Laboratory of Populations, The Rockefeller University, Box 20, 1230 York Avenue, New York, NY 10021, USA. reumand@rockefeller.edu
Desharnais
Robert A
RA
Costantino
Robert F
RF
Ahmad
Omar S
OS
Cohen
Joel E
JE
D000818:Animals; D002190:Cannibalism; D005583:Fourier Analysis; D005828:Genetics, Population / Q000706:statistics & numerical data*; D017711:Nonlinear Dynamics; D011679:Pupa; D013269:Stochastic Processes; D014231:Tribolium / Q000235:genetics