Seawater carbonate chemistry and growth of four North Atlantic bivalves, supplement to: Gao, Guang; Qu, Liming; Burgess, J Grant; Li, Xinshu; Xu, Juntian (2019): Future CO2-induced ocean acidification enhances resilience of a green tide alga to low-salinity stress. ICES Journal of Marine Science

• Main Authors: Gao, Guang, Qu, Liming, Burgess, J Grant, Li, Xinshu, Xu, Juntian
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2019
• Subjects: Benthos; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria <20 L; Chlorophyta; Coast and continental shelf; Growth/Morphology; Laboratory experiment; Macroalgae; North Pacific; Plantae; Primary production/Photosynthesis; Respiration; Salinity; Single species; Temperate; Ulva linza; Type; Species; Registration number of species; Uniform resource locator/link to reference; Treatment; Stage; Generation span; Generation span, standard deviation; Growth; Growth rate, standard deviation; Electron transport rate, relative; Electron transport rate, relative, standard deviation; Non photochemical quenching; Non photochemical quenching, standard deviation; Irradiance; Electron transport rate efficiency; Electron transport rate efficiency, standard deviation; Maximal electron transport rate, relative; Maximal electron transport rate, relative, standard deviation; Light saturation point; Light saturation point, standard deviation; Net photosynthesis rate, oxygen; Net photosynthesis rate, standard deviation; Respiration rate, oxygen; Respiration rate, oxygen, standard deviation; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll b; Chlorophyll b, standard deviation; Carotenoids; Carotenoids, standard deviation; Nitrate reductase activity; Nitrate reductase activity, standard deviation; Partial pressure of carbon dioxide water at sea surface temperature wet air; Partial pressure of carbon dioxide, standard deviation; pH; pH, standard deviation; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Bicarbonate ion; Bicarbonate ion, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbon dioxide; Carbon dioxide, standard deviation; Alkalinity, total; Alkalinity, total, standard deviation; Temperature, water; Temperature, water, standard deviation; Carbonate system computation flag; Fugacity of carbon dioxide water at sea surface temperature wet air; Aragonite saturation state; Calcite saturation state; Tide gauge station; Calculated using seacarb after Nisumaa et al. 2010; SeaLevel; Ocean Acidification International Coordination Centre OA-ICC; Burgess; Pacific; North Atlantic; Ocean acidification
• Online Access: https://dx.doi.org/10.1594/pangaea.908180; https://doi.pangaea.de/10.1594/PANGAEA.908180

To understand how Ulva species might respond to salinity stress during future ocean acidification we cultured a green tide alga Ulva linza at various salinities (control salinity, 30 PSU; medium salinity, 20 PSU; low salinity, 10 PSU) and CO2 concentrations (400 and 1000 ppmv) for over 30 days. The results showed that, under the low salinity conditions, the thalli could not complete its whole life cycle. The specific growth rate (SGR) of juvenile thalli decreased significantly with reduced salinity but increased with a rise in CO2. Compared to the control, medium salinity also decreased the SGR of adult thalli at low CO2 but did not affect it at high CO2. Similar patterns were also found in relative electron transport rate (rETR), non-photochemical quenching, saturating irradiance, and Chl b content. Although medium salinity reduced net photosynthetic rate and maximum rETR at each CO2 level, these negative effects were significantly alleviated at high CO2 levels. In addition, nitrate reductase activity was reduced by medium salinity but enhanced by high CO2. These findings indicate that future ocean acidification would enhance U. linza's tolerance to low salinity stress and may thus facilitate the occurrence of green tides dominated by U. linza. : 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 2019-10-24.