Wolf, Klara K E; Hoppe, Clara Jule Marie; Rost, Björn (2018): Seawater carbonate chemistry and growth, production rates, and elemental quotas of Thalassiosira hyalina. PANGAEA, https://doi.org/10.1594/PANGAEA.923884
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The potential for adaptation of phytoplankton to future climate is often extrapolated based on single strain responses of a representative species, ignoring variability within and between species. The aim of this study was to approximate the range of strain-specific reaction patterns within an Arctic diatom population, which selection can act upon. In a laboratory experiment, we first incubated natural communities from an Arctic fjord under present and future conditions. In a second step, single strains of the diatom Thalassiosira hyalina were isolated from these selection environments and exposed to a matrix of temperature (3°C and 6°C) and pCO2 levels (180 μatm, 370 μatm, 1000 μatm, 1400 μatm) to establish reaction norms for growth, production rates, and elemental quotas. The results revealed interactive effects of temperature and pCO2 as well as wide tolerance ranges. Between strains, however, sensitivities and optima differed greatly. These strain-specific responses corresponded well with their respective selection environments of the previous community incubation. We therefore hypothesize that intraspecific variability and the selection between coexisting strains may pose an underestimated source of species' plasticity. Thus, adaptation of phytoplankton assemblages may also occur by selection within rather than only between species, and species-wide inferences from single strain experiments should be treated with caution.
Arctic; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (<20 L); Chromista; Coast and continental shelf; Community composition and diversity; Entire community; Growth/Morphology; Laboratory experiment; Light; Ochrophyta; Pelagos; Phytoplankton; Polar; Primary production/Photosynthesis; Single species; Temperature; Thalassiosira hyalina
Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloise; Orr, James C; Gentili, Bernard; Hagens, Mathilde; Hofmann, Andreas; Mueller, Jens-Daniel; Proye, Aurélien; Rae, James; Soetaert, Karline (2019): seacarb: seawater carbonate chemistry with R. R package version 3.2.12. https://CRAN.R-project.org/package=seacarb
Latitude: 78.916670 * Longitude: 11.933330
In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2019) 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 2020-10-14.
976 data points