Journal article 1051 views
Community extinction patterns in coloured environments
Proceedings of the Royal Society B: Biological Sciences, Volume: 275, Issue: 1644, Pages: 1775 - 1783
Swansea University Author: Mike Fowler
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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...
Published in: | Proceedings of the Royal Society B: Biological Sciences |
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ISSN: | 0962-8452 1471-2954 |
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2008
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URI: | https://cronfa.swan.ac.uk/Record/cronfa13407 |
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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 |
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275 |
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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 |
|
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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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1763750257222483968 |
score |
11.037581 |