Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification
| Autor: | Markus Schartau, Maria Moreno de Castro, Kai W. Wirtz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences lcsh:Life Atmospheric sciences 01 natural sciences Mesocosm Nutrient lcsh:QH540-549.5 Phytoplankton Ecosystem 14. Life underwater Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences Earth-Surface Processes Biomass (ecology) Primary producers 010604 marine biology & hydrobiology lcsh:QE1-996.5 fungi Ocean acidification lcsh:Geology lcsh:QH501-531 Oceanography 13. Climate action Environmental science lcsh:Ecology Bloom |
| Zdroj: | Moreno de Castro, M.; Schartau, M.; Wirtz, K.: Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification. In: Biogeosciences. Vol. 14 (2017) 7, 1883-1901. (DOI: 10.5194/bg-14-1883-2017) Biogeosciences (BG), 14 (7). pp. 1883-1901. Biogeosciences, Vol 14, Iss 7, Pp 1883-1901 (2017) |
| ISSN: | 1726-4189 1726-4170 |
| DOI: | 10.5194/bg-14-1883-2017) |
| Popis: | Mesocosm experiments on phytoplankton dynamics under high CO2 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 CO2 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 CO2 conditions. Conversely, our simulations showed earlier and more intense phytoplankton blooms in modeled replicates at high CO2 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. |
| Databáze: | OpenAIRE |
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