Liu, Nana; Tong, Shanying; Yi, Xiangqi; Li, Yan; Li, Zhenzhen; Miao, Hangbin; Wang, Tifeng; Li, Futian; Yan, Dong; Huang, Ruiping; Wu, YaPing; Hutchins, David A; Beardall, John; Dai, Minhan; Gao, Kunshan (2017): Seawater carbonate chemistry and chlorophyll a, primary productioin and algal community composition [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.890688, Supplement to: Liu, N et al. (2017): Carbon assimilation and losses during an ocean acidification mesocosm experiment, with special reference to algal blooms. Marine Environmental Research, 129, 229-235, https://doi.org/10.1016/j.marenvres.2017.05.003
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Abstract:
A mesocosm experiment was conducted in Wuyuan Bay (Xiamen), China, to investigate the effects of elevated pCO2 on bloom formation by phytoplankton species previously studied in laboratory-based ocean acidification experiments, to determine if the indoor-grown species performed similarly in mesocosms under more realistic environmental conditions. We measured biomass, primary productivity and particulate organic carbon (POC) as well as particulate organic nitrogen (PON). Phaeodactylum tricornutum outcompeted Thalassiosira weissflogii and Emiliania huxleyi, comprising more than 99% of the final biomass. Mainly through a capacity to tolerate nutrient-limited situations, P. tricornutum showed a powerful sustained presence during the plateau phase of growth. Significant differences between high and low CO2 treatments were found in cell concentration, cumulative primary productivity and POC in the plateau phase but not during the exponential phase of growth. Compared to the low pCO2 (LC) treatment, POC increased by 45.8–101.9% in the high pCO2 (HC) treated cells during the bloom period. Furthermore, respiratory carbon losses of gross primary productivity were found to comprise 39–64% for the LC and 31–41% for the HC mesocosms (daytime C fixation) in phase II. Our results suggest that the duration and characteristics of a diatom bloom can be affected by elevated pCO2. Effects of elevated pCO2 observed in the laboratory cannot be reliably extrapolated to large scale mesocosms with multiple influencing factors, especially during intense algal blooms.
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Further details:
Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloïse; Orr, James C; Gentili, Bernard; Proye, Aurélien; Soetaert, Karline; Rae, James (2016): seacarb: seawater carbonate chemistry with R. R package version 3.1. https://cran.r-project.org/package=seacarb
Project(s):
Coverage:
Latitude: 24.520000 * Longitude: 118.200000
Date/Time Start: 2013-06-15T00:00:00 * Date/Time End: 2013-06-15T00:00:00
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Comment:
In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2016) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2018-05-23.
Parameter(s):
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
12180 data points
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