Journal article 1155 views
Predicting community persistence based on different methods of species ranking.
Annales Zoologici Fennici, Volume: 42, Pages: 533 - 543
Swansea University Author: Mike Fowler
Abstract
Different species in a community can be ranked according to the strength of their effect on the dynamics of the entire community. Despite a considerable research effort on community structure and the “keystone” species concept, there are still unresolved issues in this area. This work addresses the...
Published in: | Annales Zoologici Fennici |
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2005
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URI: | https://cronfa.swan.ac.uk/Record/cronfa19659 |
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2014-12-02T02:57:38Z |
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2018-02-09T04:55:27Z |
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2014-12-01T10:24:07.0998912 v2 19659 2014-12-01 Predicting community persistence based on different methods of species ranking. a3a29027498d4b43a3f082a0a5ba16b4 0000-0003-1544-0407 Mike Fowler Mike Fowler true false 2014-12-01 BGPS Different species in a community can be ranked according to the strength of their effect on the dynamics of the entire community. Despite a considerable research effort on community structure and the “keystone” species concept, there are still unresolved issues in this area. This work addresses the suitability of different methods of characterising community members, either by relative abundance, or different measures of competitive ability. Multi-species competitive communities were simulated to allow comparison of methods that rank community members by either their abundance or competitive ability. Results indicate that characterising species according to their relative density, rather than competitive ability, provides a more refined measure of the importance of each community member. The analysis is extended by assessing which species are most likely to be involved with cascading extinction events, showing that the species with the lowest abundance is most likely to face extinction. Here it is also shown that removal of the most abundant species, i.e. that with the greatest relative density within the community, leads to the highest probability of community collapse, with further loss of community members through cascading extinctions. The asymmetry and non-linearity of between species interactions mean that species’ ranking can change unexpectedly following species loss. These results can lead to practical recommendations in management decisions for conservation and other species managementproblems, e.g. harvesting in marine food-webs, where it may be difficult to assess relative competitive ability between species in the ecosystem Journal Article Annales Zoologici Fennici 42 533 543 31 12 2005 2005-12-31 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2014-12-01T10:24:07.0998912 2014-12-01T10:24:07.0998912 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Michael Fowler 1 Mike Fowler 0000-0003-1544-0407 2 |
title |
Predicting community persistence based on different methods of species ranking. |
spellingShingle |
Predicting community persistence based on different methods of species ranking. Mike Fowler |
title_short |
Predicting community persistence based on different methods of species ranking. |
title_full |
Predicting community persistence based on different methods of species ranking. |
title_fullStr |
Predicting community persistence based on different methods of species ranking. |
title_full_unstemmed |
Predicting community persistence based on different methods of species ranking. |
title_sort |
Predicting community persistence based on different methods of species ranking. |
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a3a29027498d4b43a3f082a0a5ba16b4 |
author_id_fullname_str_mv |
a3a29027498d4b43a3f082a0a5ba16b4_***_Mike Fowler |
author |
Mike Fowler |
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Michael Fowler Mike Fowler |
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Journal article |
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Annales Zoologici Fennici |
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42 |
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533 |
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2005 |
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Swansea University |
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Faculty of Science and Engineering |
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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 |
Different species in a community can be ranked according to the strength of their effect on the dynamics of the entire community. Despite a considerable research effort on community structure and the “keystone” species concept, there are still unresolved issues in this area. This work addresses the suitability of different methods of characterising community members, either by relative abundance, or different measures of competitive ability. Multi-species competitive communities were simulated to allow comparison of methods that rank community members by either their abundance or competitive ability. Results indicate that characterising species according to their relative density, rather than competitive ability, provides a more refined measure of the importance of each community member. The analysis is extended by assessing which species are most likely to be involved with cascading extinction events, showing that the species with the lowest abundance is most likely to face extinction. Here it is also shown that removal of the most abundant species, i.e. that with the greatest relative density within the community, leads to the highest probability of community collapse, with further loss of community members through cascading extinctions. The asymmetry and non-linearity of between species interactions mean that species’ ranking can change unexpectedly following species loss. These results can lead to practical recommendations in management decisions for conservation and other species managementproblems, e.g. harvesting in marine food-webs, where it may be difficult to assess relative competitive ability between species in the ecosystem |
published_date |
2005-12-31T06:39:57Z |
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1822111351962599424 |
score |
10.957818 |