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Detecting compensatory dynamics in competitive communities under environmental forcing

Esa Ranta, Veijo Kaitala, Mike Fowler Orcid Logo, Jouni Laakso, Lasse Ruokolainen, Robert O'Hara

Oikos, Volume: 117, Issue: 12, Pages: 1907 - 1911

Swansea University Author: Mike Fowler Orcid Logo

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DOI (Published version): 10.1111/j.1600-0706.2008.16614.x

Abstract

Competition is assumed to generate compensatory dynamics where an increase in one species is compensated by a decrease in others. Recently, using a community covariance technique, Houlahan et al. (2007) found that compensatory dynamics are only visible in 25% - 30% of natural communities studied. Th...

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Published in: Oikos
ISSN: 0030-1299 1600-0706
Published: 2008
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URI: https://cronfa.swan.ac.uk/Record/cronfa13412
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first_indexed 2013-07-23T12:10:11Z
last_indexed 2018-02-09T04:44:08Z
id cronfa13412
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spelling 2013-09-17T15:02:53.8697479 v2 13412 2012-12-03 Detecting compensatory dynamics in competitive communities under environmental forcing a3a29027498d4b43a3f082a0a5ba16b4 0000-0003-1544-0407 Mike Fowler Mike Fowler true false 2012-12-03 SBI Competition is assumed to generate compensatory dynamics where an increase in one species is compensated by a decrease in others. Recently, using a community covariance technique, Houlahan et al. (2007) found that compensatory dynamics are only visible in 25% - 30% of natural communities studied. The study was based on scoring the sum of covariances of population densities. In contrast to the theory, and as a cautionary reminder to the interpretation of natural time series data, we show that negative community covariance can be absent even in strongly competitive communities and can be found present in communities without competitive interactions. Precise knowledge of various features of the underlying species’ biology and characteristics of the environmental variation is required before community covariance can be correctly interpreted as a proxy for the importance of competition or environmental forcing in driving community fluctuations. Other tools may therefore be more appropriate, e.g., explicit modelling of competition using modern time series analytical tools. Journal Article Oikos 117 12 1907 1911 0030-1299 1600-0706 31 12 2008 2008-12-31 10.1111/j.1600-0706.2008.16614.x COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2013-09-17T15:02:53.8697479 2012-12-03T12:06:44.0876554 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Esa Ranta 1 Veijo Kaitala 2 Mike Fowler 0000-0003-1544-0407 3 Jouni Laakso 4 Lasse Ruokolainen 5 Robert O'Hara 6
title Detecting compensatory dynamics in competitive communities under environmental forcing
spellingShingle Detecting compensatory dynamics in competitive communities under environmental forcing
Mike Fowler
title_short Detecting compensatory dynamics in competitive communities under environmental forcing
title_full Detecting compensatory dynamics in competitive communities under environmental forcing
title_fullStr Detecting compensatory dynamics in competitive communities under environmental forcing
title_full_unstemmed Detecting compensatory dynamics in competitive communities under environmental forcing
title_sort Detecting compensatory dynamics in competitive communities under environmental forcing
author_id_str_mv a3a29027498d4b43a3f082a0a5ba16b4
author_id_fullname_str_mv a3a29027498d4b43a3f082a0a5ba16b4_***_Mike Fowler
author Mike Fowler
author2 Esa Ranta
Veijo Kaitala
Mike Fowler
Jouni Laakso
Lasse Ruokolainen
Robert O'Hara
format Journal article
container_title Oikos
container_volume 117
container_issue 12
container_start_page 1907
publishDate 2008
institution Swansea University
issn 0030-1299
1600-0706
doi_str_mv 10.1111/j.1600-0706.2008.16614.x
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
document_store_str 0
active_str 0
description Competition is assumed to generate compensatory dynamics where an increase in one species is compensated by a decrease in others. Recently, using a community covariance technique, Houlahan et al. (2007) found that compensatory dynamics are only visible in 25% - 30% of natural communities studied. The study was based on scoring the sum of covariances of population densities. In contrast to the theory, and as a cautionary reminder to the interpretation of natural time series data, we show that negative community covariance can be absent even in strongly competitive communities and can be found present in communities without competitive interactions. Precise knowledge of various features of the underlying species’ biology and characteristics of the environmental variation is required before community covariance can be correctly interpreted as a proxy for the importance of competition or environmental forcing in driving community fluctuations. Other tools may therefore be more appropriate, e.g., explicit modelling of competition using modern time series analytical tools.
published_date 2008-12-31T03:15:21Z
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score 11.016235

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