Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems

  title={Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems},
  author={Matt Grove and James M. Borg and Fiona A. C. Polack},
Ecological, environmental and geophysical time series consistently exhibit the characteristics of coloured (1/ƒβ) noise. Here we briefly survey the literature on coloured noise, population persiste... 

Figures from this paper

The Importance of Noise Colour in Simulations of Evolutionary Systems

Simulations of the effects of different noise colours on evolving populations demonstrate complex interactions between noise colour, reproductive rate, and the degree of evolved generalism, suggesting that noise colour plays a fundamental role in generating adaptive responses.

Climatic change and climatic variability: An objective decomposition

  • M. Grove
  • Environmental Science
    Quaternary Science Reviews
  • 2021

High Reliability Organizing for (HRO) Disasters – Disaster Ecology and the Color of Noise

The frequencies of stochastic noise inherent to the environment can be described as colors. The various colors of noise refer to the disruptive potential of stochastic energy within the environment

Effect of Environmental Change Distribution on Artificial Life Simulations

Abstract It is already well known that environmental variation has a big effect on real evolution, and similar effects have been found in evolutionary artificial life simulations. In particular, a



Evolution and Climate Variability

In his Perspective, Potts argues that another force is at work: variability selection, in which certain organisms adapt to wide fluctuations in environmental conditions.


The features of 1/f-noise processes offer important new insights into the field of population biology, greatly helping our quest for understanding and for prediction of ecological processes. 1/f-no...

The Evolution of Evolvability: Changing Environments Promote Rapid Adaptation in Digital Organisms

In this chapter three subsequent studies of the determinants of infectious disease in eight operation rooms were studied with a focus on the immune response to infectious disease.

Black noise and population persistence

  • K. CuddingtonP. Yodzis
  • Environmental Science
    Proceedings of the Royal Society of London. Series B: Biological Sciences
  • 1999
Biological populations are susceptible to random variation in environmental influences such as temperature and moisture. This variability (or noise) can determine population size and, ultimately,

Ecology, evolution and 1 f -noise.

  • J. Halley
  • Environmental Science
    Trends in ecology & evolution
  • 1996

A comparison of terrestrial and marine ecological systems

I review here the differences between temporal variability in terrestrial and marine environments and consider how this external forcing may affect population fluctuations in the two systems. The

Investigating long-term ecological variability using the Global Population Dynamics Database.

The GPDD offers great potential for asking comparative questions about the nature of population variability, and some critical features of ecological variability, variance growth, and spectral reddening are illustrated.

Noise colour and the risk of population extinctions

  • J. RipaP. Lundberg
  • Environmental Science
    Proceedings of the Royal Society of London. Series B: Biological Sciences
  • 1996
A recurrent problem in ecology and conservation biology is to estimate the risk of population extinctions. Extinction probabilities are not only imperative for conservation and management, but may

Effects on population persistence: the interaction between environmental noise colour, intraspecific competition and space

It is accepted that accurate estimation of risk of population extinction, or persistence time, requires prediction of the effect of fluctuations in the environment on population dynamics. Generally,

Extinction risk, coloured noise and the scaling of variance.