Journal article 1165 views
Confounding Environmental Colour and Distribution Shape Leads to Underestimation of Population Extinction Risk
Mike Fowler 
,
Lasse Ruokolainen
,
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.
DOI (Published version): 10.1371/journal.pone.0055855
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...
| Published in: | PLoS ONE |
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| ISSN: | 1932-6203 |
| Published: |
2013
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa14224 |
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| 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. |
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| Keywords: |
Coloured environmental variation, AR(1), 1/f, sinusoidal, spectral analysis, confounding factor, spurious results |
| College: |
Faculty of Science and Engineering |
| Issue: |
2 |
| Start Page: |
e55855 |