Using multivariate analysis and stable isotopes to assess the effects of substrate type on phytobenthos communities

Publisher version === For more than a century, artificial substrates have been employed in phytobenthos studies. In the present study, we compared the phytobenthos community structure in a field experiment over 3 seasons (summer, autumn, and winter) on 3 types of artificial substrates (brick, brown...

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Main Authors: Dalu, Tatenda, Richoux, Nicole Bertine, Froneman, Pierre William
Format: Others
Language:English
Published: Taylor & Francis 2014
Online Access:http://hdl.handle.net/10962/68123
https://doi.org/10.5268/IW-4.4.719
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-rhodes-vital-292012018-09-13T04:19:06ZUsing multivariate analysis and stable isotopes to assess the effects of substrate type on phytobenthos communitiesDalu, TatendaRichoux, Nicole BertineFroneman, Pierre WilliamPublisher versionFor more than a century, artificial substrates have been employed in phytobenthos studies. In the present study, we compared the phytobenthos community structure in a field experiment over 3 seasons (summer, autumn, and winter) on 3 types of artificial substrates (brick, brown clay tiles, and grey clay tiles) and 3 natural substrates (macrophytes, rocks, and sediment) in a small, temperate system. A combination of multivariate analyses (cluster, multi-response permutation procedure, indicator species [IndVal], and canonical correspondence analysis [CCA]) and stable isotope analysis was used. We identified 96 total phytobenthos taxa. Artificial substrates resulted in different substrate communities, as shown by stable isotope analysis, cluster analysis, and a multi-response permutation procedure, with only those communities growing on grey tiles being similar to natural substrate communities. Overall, artificial substrates exhibited slightly higher species richness compared to natural substrates over the 3 seasons, although there were no significant differences (p> 0.05). Phytobenthos grown on brown tiles, rocks, and bricks showed seasonal variability of the carbon isotope δ13C values using one-way ANOVA (p< 0.05). Phytobenthos community structure did not show great seasonal variation; however, CCA identified water flow, conductivity, ammonium, phosphate, and water depth as important in structuring phytobenthos communities on different substrates. IndVal analysis showed that common phytobenthos taxa were not restricted to a single substrate, but preference was generally high for natural substrate, especially rocks, compared to artificial substrates. Substrate microhabitat type seems to influence the communities within the study areas.Taylor & Francis2014textarticle8 pagespdfhttp://hdl.handle.net/10962/68123vital:29201https://doi.org/10.5268/IW-4.4.719EnglishInland WatersTaylor & FrancisUse of this resource is governed by the terms and conditions of the National Library of South Africa Copyright Act (http://www.nlsa.ac.za/downloads/Copyright Act.pdf)
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language English
format Others
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description Publisher version === For more than a century, artificial substrates have been employed in phytobenthos studies. In the present study, we compared the phytobenthos community structure in a field experiment over 3 seasons (summer, autumn, and winter) on 3 types of artificial substrates (brick, brown clay tiles, and grey clay tiles) and 3 natural substrates (macrophytes, rocks, and sediment) in a small, temperate system. A combination of multivariate analyses (cluster, multi-response permutation procedure, indicator species [IndVal], and canonical correspondence analysis [CCA]) and stable isotope analysis was used. We identified 96 total phytobenthos taxa. Artificial substrates resulted in different substrate communities, as shown by stable isotope analysis, cluster analysis, and a multi-response permutation procedure, with only those communities growing on grey tiles being similar to natural substrate communities. Overall, artificial substrates exhibited slightly higher species richness compared to natural substrates over the 3 seasons, although there were no significant differences (p> 0.05). Phytobenthos grown on brown tiles, rocks, and bricks showed seasonal variability of the carbon isotope δ13C values using one-way ANOVA (p< 0.05). Phytobenthos community structure did not show great seasonal variation; however, CCA identified water flow, conductivity, ammonium, phosphate, and water depth as important in structuring phytobenthos communities on different substrates. IndVal analysis showed that common phytobenthos taxa were not restricted to a single substrate, but preference was generally high for natural substrate, especially rocks, compared to artificial substrates. Substrate microhabitat type seems to influence the communities within the study areas.
author Dalu, Tatenda
Richoux, Nicole Bertine
Froneman, Pierre William
spellingShingle Dalu, Tatenda
Richoux, Nicole Bertine
Froneman, Pierre William
Using multivariate analysis and stable isotopes to assess the effects of substrate type on phytobenthos communities
author_facet Dalu, Tatenda
Richoux, Nicole Bertine
Froneman, Pierre William
author_sort Dalu, Tatenda
title Using multivariate analysis and stable isotopes to assess the effects of substrate type on phytobenthos communities
title_short Using multivariate analysis and stable isotopes to assess the effects of substrate type on phytobenthos communities
title_full Using multivariate analysis and stable isotopes to assess the effects of substrate type on phytobenthos communities
title_fullStr Using multivariate analysis and stable isotopes to assess the effects of substrate type on phytobenthos communities
title_full_unstemmed Using multivariate analysis and stable isotopes to assess the effects of substrate type on phytobenthos communities
title_sort using multivariate analysis and stable isotopes to assess the effects of substrate type on phytobenthos communities
publisher Taylor & Francis
publishDate 2014
url http://hdl.handle.net/10962/68123
https://doi.org/10.5268/IW-4.4.719
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AT fronemanpierrewilliam usingmultivariateanalysisandstableisotopestoassesstheeffectsofsubstratetypeonphytobenthoscommunities
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