Journal article 1373 views
Extinctions in competitive communities forced by coloured environmental variation
Oikos, Volume: 116, Issue: 3
Swansea University Author: Mike Fowler
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DOI (Published version): 10.1111/j.2006.0030-1299.15586.x
Abstract
Understanding the relationships between environmental fluctuations, population dynamics and species interactions in natural communities is of vital theoretical and practical importance. This knowledge is essential in assessing extinction risks in communities that are, for example, pressed by changin...
Published in: | Oikos |
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ISSN: | 0030-1299 1600-0706 |
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2007
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URI: | https://cronfa.swan.ac.uk/Record/cronfa14884 |
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2013-06-13T09:46:15.0987713 v2 14884 2013-05-23 Extinctions in competitive communities forced by coloured environmental variation a3a29027498d4b43a3f082a0a5ba16b4 0000-0003-1544-0407 Mike Fowler Mike Fowler true false 2013-05-23 SBI Understanding the relationships between environmental fluctuations, population dynamics and species interactions in natural communities is of vital theoretical and practical importance. This knowledge is essential in assessing extinction risks in communities that are, for example, pressed by changing environmental conditions and increasing exploitation. We developed a model of density dependent population renewal, in a Lotka–Volterra competitive community context, to explore the significance of interspecific interactions, demographic stochasticity, population growth rate and species abundance on extinction risk in populations under various autocorrelation (colour) regimes of environmental forcing. These factors were evaluated in two cases, where either a single species or the whole community was affected by the external forcing. Species’ susceptibility to environmental noise with different autocorrelation structure depended markedly on population dynamics, species’ position in the abundance hierarchy and how similarly community members responded to external forcing. We also found interactions between demographic stochasticity and environmental noise leading to a reversal in extinction probabilities from under- to overcompensatory dynamics. We compare our results with studies of single species populations and contrast possible mechanisms leading to extinctions. Our findings indicate that abundance rank, the form of population dynamics, and the colour of environmental variation interact in affecting species extinction risk. These interactions are further modified by interspecific interactions within competitive communities as the interactions filter and modulate the environmental noise. Journal Article Oikos 116 3 448 0030-1299 1600-0706 31 12 2007 2007-12-31 10.1111/j.2006.0030-1299.15586.x COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2013-06-13T09:46:15.0987713 2013-05-23T12:42:09.1679003 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Lasse Ruokolainen 1 Mike Fowler 0000-0003-1544-0407 2 Esa Ranta 3 |
title |
Extinctions in competitive communities forced by coloured environmental variation |
spellingShingle |
Extinctions in competitive communities forced by coloured environmental variation Mike Fowler |
title_short |
Extinctions in competitive communities forced by coloured environmental variation |
title_full |
Extinctions in competitive communities forced by coloured environmental variation |
title_fullStr |
Extinctions in competitive communities forced by coloured environmental variation |
title_full_unstemmed |
Extinctions in competitive communities forced by coloured environmental variation |
title_sort |
Extinctions in competitive communities forced by coloured environmental variation |
author_id_str_mv |
a3a29027498d4b43a3f082a0a5ba16b4 |
author_id_fullname_str_mv |
a3a29027498d4b43a3f082a0a5ba16b4_***_Mike Fowler |
author |
Mike Fowler |
author2 |
Lasse Ruokolainen Mike Fowler Esa Ranta |
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Journal article |
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Oikos |
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116 |
container_issue |
3 |
publishDate |
2007 |
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Swansea University |
issn |
0030-1299 1600-0706 |
doi_str_mv |
10.1111/j.2006.0030-1299.15586.x |
college_str |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences |
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description |
Understanding the relationships between environmental fluctuations, population dynamics and species interactions in natural communities is of vital theoretical and practical importance. This knowledge is essential in assessing extinction risks in communities that are, for example, pressed by changing environmental conditions and increasing exploitation. We developed a model of density dependent population renewal, in a Lotka–Volterra competitive community context, to explore the significance of interspecific interactions, demographic stochasticity, population growth rate and species abundance on extinction risk in populations under various autocorrelation (colour) regimes of environmental forcing. These factors were evaluated in two cases, where either a single species or the whole community was affected by the external forcing. Species’ susceptibility to environmental noise with different autocorrelation structure depended markedly on population dynamics, species’ position in the abundance hierarchy and how similarly community members responded to external forcing. We also found interactions between demographic stochasticity and environmental noise leading to a reversal in extinction probabilities from under- to overcompensatory dynamics. We compare our results with studies of single species populations and contrast possible mechanisms leading to extinctions. Our findings indicate that abundance rank, the form of population dynamics, and the colour of environmental variation interact in affecting species extinction risk. These interactions are further modified by interspecific interactions within competitive communities as the interactions filter and modulate the environmental noise. |
published_date |
2007-12-31T03:17:01Z |
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1763750363165360128 |
score |
11.037275 |