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Community extinction patterns in coloured environments

L Ruokolainen, M. S Fowler, Mike Fowler Orcid Logo

Proceedings of the Royal Society B: Biological Sciences, Volume: 275, Issue: 1644, Pages: 1775 - 1783

Swansea University Author: Mike Fowler Orcid Logo

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DOI (Published version): 10.1098/rspb.2008.0193

Abstract

The majority of theoretical studies investigating the influence of environmental variation on population and community dynamics are based on an assumption of very weak environmental effects. We explicitly tested the effect of increasing the strength of environmental variation on population extinctio...

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Published in: Proceedings of the Royal Society B: Biological Sciences
ISSN: 0962-8452 1471-2954
Published: 2008
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URI: https://cronfa.swan.ac.uk/Record/cronfa13407
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first_indexed 2013-07-23T12:10:10Z
last_indexed 2018-02-09T04:44:07Z
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spelling 2013-09-17T15:02:21.2757229 v2 13407 2012-12-03 Community extinction patterns in coloured environments a3a29027498d4b43a3f082a0a5ba16b4 0000-0003-1544-0407 Mike Fowler Mike Fowler true false 2012-12-03 SBI The majority of theoretical studies investigating the influence of environmental variation on population and community dynamics are based on an assumption of very weak environmental effects. We explicitly tested the effect of increasing the strength of environmental variation on population extinction risk in model communities, demonstrating that stronger environmental variation introduces novel, unexpected results. This knowledge will guide us to collect the sort of data that is required before appropriate management and/or conservation decisions are made, reducing the risk of spurious and/or harmful predictions when applying model based inference to natural populations. Journal Article Proceedings of the Royal Society B: Biological Sciences 275 1644 1775 1783 0962-8452 1471-2954 competition, environmental variation, extinction risk, population synchrony, noise colour, disturbance severity 31 12 2008 2008-12-31 10.1098/rspb.2008.0193 http://dx.doi.org/10.1098/rspb.2008.0193 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2013-09-17T15:02:21.2757229 2012-12-03T10:36:44.9757138 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences L Ruokolainen 1 M. S Fowler 2 Mike Fowler 0000-0003-1544-0407 3
title Community extinction patterns in coloured environments
spellingShingle Community extinction patterns in coloured environments
Mike Fowler
title_short Community extinction patterns in coloured environments
title_full Community extinction patterns in coloured environments
title_fullStr Community extinction patterns in coloured environments
title_full_unstemmed Community extinction patterns in coloured environments
title_sort Community extinction patterns in coloured environments
author_id_str_mv a3a29027498d4b43a3f082a0a5ba16b4
author_id_fullname_str_mv a3a29027498d4b43a3f082a0a5ba16b4_***_Mike Fowler
author Mike Fowler
author2 L Ruokolainen
M. S Fowler
Mike Fowler
format Journal article
container_title Proceedings of the Royal Society B: Biological Sciences
container_volume 275
container_issue 1644
container_start_page 1775
publishDate 2008
institution Swansea University
issn 0962-8452
1471-2954
doi_str_mv 10.1098/rspb.2008.0193
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
url http://dx.doi.org/10.1098/rspb.2008.0193
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description The majority of theoretical studies investigating the influence of environmental variation on population and community dynamics are based on an assumption of very weak environmental effects. We explicitly tested the effect of increasing the strength of environmental variation on population extinction risk in model communities, demonstrating that stronger environmental variation introduces novel, unexpected results. This knowledge will guide us to collect the sort of data that is required before appropriate management and/or conservation decisions are made, reducing the risk of spurious and/or harmful predictions when applying model based inference to natural populations.
published_date 2008-12-31T03:15:20Z
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score 11.016235