Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification
Mesocosm experiments on phytoplankton dynamics under high CO 2 concentrations mimic the response of marine primary producers to future ocean acidification. However, potential acidification effects can be hindered by the high standard deviation typically found in the replicates of the same CO 2 treat...
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ftcopernicus:oai:publications.copernicus.org:bg50261 2023-05-15T17:50:33+02:00 Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification Moreno de Castro, Maria Schartau, Markus Wirtz, Kai 2018-09-27 application/pdf https://doi.org/10.5194/bg-14-1883-2017 https://www.biogeosciences.net/14/1883/2017/ eng eng doi:10.5194/bg-14-1883-2017 https://www.biogeosciences.net/14/1883/2017/ eISSN: 1726-4189 Text 2018 ftcopernicus https://doi.org/10.5194/bg-14-1883-2017 2019-12-24T09:51:32Z Mesocosm experiments on phytoplankton dynamics under high CO 2 concentrations mimic the response of marine primary producers to future ocean acidification. However, potential acidification effects can be hindered by the high standard deviation typically found in the replicates of the same CO 2 treatment level. In experiments with multiple unresolved factors and a sub-optimal number of replicates, post-processing statistical inference tools might fail to detect an effect that is present. We propose that in such cases, data-based model analyses might be suitable tools to unearth potential responses to the treatment and identify the uncertainties that could produce the observed variability. As test cases, we used data from two independent mesocosm experiments. Both experiments showed high standard deviations and, according to statistical inference tools, biomass appeared insensitive to changing CO 2 conditions. Conversely, our simulations showed earlier and more intense phytoplankton blooms in modeled replicates at high CO 2 concentrations and suggested that uncertainties in average cell size, phytoplankton biomass losses, and initial nutrient concentration potentially outweigh acidification effects by triggering strong variability during the bloom phase. We also estimated the thresholds below which uncertainties do not escalate to high variability. This information might help in designing future mesocosm experiments and interpreting controversial results on the effect of acidification or other pressures on ecosystem functions. Text Ocean acidification Copernicus Publications: E-Journals Biogeosciences 14 7 1883 1901 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
Mesocosm experiments on phytoplankton dynamics under high CO 2 concentrations mimic the response of marine primary producers to future ocean acidification. However, potential acidification effects can be hindered by the high standard deviation typically found in the replicates of the same CO 2 treatment level. In experiments with multiple unresolved factors and a sub-optimal number of replicates, post-processing statistical inference tools might fail to detect an effect that is present. We propose that in such cases, data-based model analyses might be suitable tools to unearth potential responses to the treatment and identify the uncertainties that could produce the observed variability. As test cases, we used data from two independent mesocosm experiments. Both experiments showed high standard deviations and, according to statistical inference tools, biomass appeared insensitive to changing CO 2 conditions. Conversely, our simulations showed earlier and more intense phytoplankton blooms in modeled replicates at high CO 2 concentrations and suggested that uncertainties in average cell size, phytoplankton biomass losses, and initial nutrient concentration potentially outweigh acidification effects by triggering strong variability during the bloom phase. We also estimated the thresholds below which uncertainties do not escalate to high variability. This information might help in designing future mesocosm experiments and interpreting controversial results on the effect of acidification or other pressures on ecosystem functions. |
format |
Text |
author |
Moreno de Castro, Maria Schartau, Markus Wirtz, Kai |
spellingShingle |
Moreno de Castro, Maria Schartau, Markus Wirtz, Kai Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification |
author_facet |
Moreno de Castro, Maria Schartau, Markus Wirtz, Kai |
author_sort |
Moreno de Castro, Maria |
title |
Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification |
title_short |
Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification |
title_full |
Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification |
title_fullStr |
Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification |
title_full_unstemmed |
Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification |
title_sort |
potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification |
publishDate |
2018 |
url |
https://doi.org/10.5194/bg-14-1883-2017 https://www.biogeosciences.net/14/1883/2017/ |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_source |
eISSN: 1726-4189 |
op_relation |
doi:10.5194/bg-14-1883-2017 https://www.biogeosciences.net/14/1883/2017/ |
op_doi |
https://doi.org/10.5194/bg-14-1883-2017 |
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Biogeosciences |
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14 |
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7 |
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1883 |
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1901 |
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1766157362409766912 |