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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ftdoajarticles:oai:doaj.org/article:8579d004325644718b26ebea4e3ad3e3 2023-05-15T17:50:34+02:00 Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification M. Moreno de Castro M. Schartau K. Wirtz 2017-04-01T00:00:00Z https://doi.org/10.5194/bg-14-1883-2017 https://doaj.org/article/8579d004325644718b26ebea4e3ad3e3 EN eng Copernicus Publications http://www.biogeosciences.net/14/1883/2017/bg-14-1883-2017.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 1726-4170 1726-4189 doi:10.5194/bg-14-1883-2017 https://doaj.org/article/8579d004325644718b26ebea4e3ad3e3 Biogeosciences, Vol 14, Iss 7, Pp 1883-1901 (2017) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2017 ftdoajarticles https://doi.org/10.5194/bg-14-1883-2017 2022-12-31T11:11:59Z 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. Article in Journal/Newspaper Ocean acidification Directory of Open Access Journals: DOAJ Articles Biogeosciences 14 7 1883 1901 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
spellingShingle |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 M. Moreno de Castro M. Schartau K. Wirtz Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification |
topic_facet |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
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 |
Article in Journal/Newspaper |
author |
M. Moreno de Castro M. Schartau K. Wirtz |
author_facet |
M. Moreno de Castro M. Schartau K. Wirtz |
author_sort |
M. Moreno de Castro |
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 |
publisher |
Copernicus Publications |
publishDate |
2017 |
url |
https://doi.org/10.5194/bg-14-1883-2017 https://doaj.org/article/8579d004325644718b26ebea4e3ad3e3 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_source |
Biogeosciences, Vol 14, Iss 7, Pp 1883-1901 (2017) |
op_relation |
http://www.biogeosciences.net/14/1883/2017/bg-14-1883-2017.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 1726-4170 1726-4189 doi:10.5194/bg-14-1883-2017 https://doaj.org/article/8579d004325644718b26ebea4e3ad3e3 |
op_doi |
https://doi.org/10.5194/bg-14-1883-2017 |
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Biogeosciences |
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14 |
container_issue |
7 |
container_start_page |
1883 |
op_container_end_page |
1901 |
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1766157392281600000 |