Seawater carbonate chemistry and coelomic fluid,morphometric and survival data of Paracentrotus lividus, supplement to: Guscelli, Ella; Spicer, John I; Calosi, Piero (2019): The importance of inter‐individual variation in predicting species' responses to global change drivers. Ecology and Evolution

• Main Authors: Guscelli, Ella, Spicer, John I, Calosi, Piero
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2019
• Subjects: Acid-base regulation; Animalia; Benthic animals; Benthos; Coast and continental shelf; Containers and aquaria 20-1000 L or < 1 m**2; Echinodermata; Growth/Morphology; Laboratory experiment; Mortality/Survival; North Atlantic; Paracentrotus lividus; Single species; Temperate; Temperature; Type; Species; Registration number of species; Uniform resource locator/link to reference; Experiment duration; Identification; Treatment; Coelomic fluid, pH; Coelomic fluid, carbon, inorganic, dissolved; Constant; Coelomic fluid, partial pressure of carbon dioxide; Coelomic fluid, bicarbonate ion; Height; Diameter; Volume; Wet mass; Day of experiment; DATE/TIME; Individuals; Oxygen, dissolved; Oxygen, dissolved, standard error; Salinity; Salinity, standard error; Temperature, water; Temperature, water, standard error; pH; pH, standard error; Alkalinity, total; Alkalinity, total, standard error; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard error; Partial pressure of carbon dioxide water at sea surface temperature wet air; Partial pressure of carbon dioxide water at sea surface temperature wet air, standard error; Bicarbonate ion; Bicarbonate ion, standard error; Carbonate ion; Carbonate ion, standard error; Calcite saturation state; Calcite saturation state, standard error; Aragonite saturation state; Aragonite saturation state, standard error; Carbonate system computation flag; Carbon dioxide; Fugacity of carbon dioxide water at sea surface temperature wet air; Experiment; Potentiometric; Potentiometric titration; Calculated using CO2calc; Calculated using seacarb after Nisumaa et al. 2010; Ocean Acidification International Coordination Centre OA-ICC; Ocean acidification
• Online Access: https://dx.doi.org/10.1594/pangaea.911818; https://doi.pangaea.de/10.1594/PANGAEA.911818

Inter‐individual variation in phenotypic traits has long been considered as "noise" rather than meaningful phenotypic variation, with biological studies almost exclusively generating and reporting average responses for populations and species' aver‐ age responses. Here, we compare the use of an individual approach in the investigation of extracellular acid-base regulation by the purple sea urchin Paracentrotus lividus challenged with elevated pCO2 and temperature conditions, with a more traditional approach which generates and formally compares mean values. We detected a high level of inter‐individual variation in acid-base regulation parameters both within and between treatments. Comparing individual and mean values for the first (apparent) dissociation constant of the coelomic fluid for individual sea urchins resulted in substantially different (calculated) acid-base parameters, and models with stronger statistical support. While the approach using means showed that coelomic pCO2 was influenced by seawater pCO2 and temperature combined, the individual approach indicated that it was in fact seawater temperature in isolation that had a significant effect on coelomic pCO2. On the other hand, coelomic [HCO3−] appeared to be primarily affected by seawater pCO2, and less by seawater temperature, irrespective of the approach adopted. As a consequence, we suggest that individual variation in physiological traits needs to be considered, and where appropriate taken into ac‐ count, in global change biology studies. It could be argued that an approach reliant on mean values is a "procedural error." It produces an artefact, that is, a population's mean phenotype. While this may allow us to conduct relatively simple statistical analyses, it will not in all cases reflect, or take into account, the degree of (physiological) diversity present in natural populations. : 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 2020-02-03.