No Cover Image

Journal article 659 views

Confounding Environmental Colour and Distribution Shape Leads to Underestimation of Population Extinction Risk / Mike Fowler; Lasse Ruokolainen

PLoS ONE, Volume: 8, Issue: 2, Start page: e55855

Swansea University Author: Mike, Fowler

Full text not available from this repository: check for access using links below.

Abstract

Coloured stochastic processes show slow (red), fast (blue) or purely random (white) variation, important across biology, engineering and physics. Changing colour from white to red or blue in traditional models generates coloured stochastic series that are not normally distributed; confounding compar...

Full description

Published in: PLoS ONE
ISSN: 1932-6203
Published: 2013
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa14224
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract: Coloured stochastic processes show slow (red), fast (blue) or purely random (white) variation, important across biology, engineering and physics. Changing colour from white to red or blue in traditional models generates coloured stochastic series that are not normally distributed; confounding comparison with normally distributed white series. We illustrate this with a stochastic population model previously used to estimate extinction risk in coloured environments, demonstrating that previous extinction estimates were based on methodological artefacts rather than the actual effect of coloured environmental variation. We propose a method for generating normally distributed coloured series, which must be used to avoid spurious inference.
Keywords: Coloured environmental variation, AR(1), 1/f, sinusoidal, spectral analysis, confounding factor, spurious results
College: College of Science
Issue: 2
Start Page: e55855