Seawater carbonate chemistry and metabolic rate allometry in intertidal mussels across environmental gradients ...

• Main Authors: Labra, Fabio A, San Martín, Valeska, Jahnsen-Guzman, Nicole, Fernandez, Carolina, Zapata, J, García-Huidobroro, M Roberto, Duarte, Cristian, García-Herrera, Claudio M, Vivanco, Juan F, Lardies, Marco A, Lagos, Nelson A
• Format: Dataset
• Language: English
• Published: PANGAEA 2022
• Subjects: Animalia; Benthic animals; Benthos; Coast and continental shelf; Field observation; Growth/Morphology; Mollusca; Perumytilus purpuratus; Respiration; Salinity; Single species; South Pacific; Temperate; Temperature; Tropical; Upwelling; Type; Species, unique identification; Species, unique identification URI; Species, unique identification Semantic URI; Body length; Width; Height; Mass; Shell, mass; Buoyant mass; Metabolic rate of oxygen, per animal mass; Metabolic rate of oxygen; Biogeographical province; Site; Temperature, water; pH; Aragonite saturation state; Alkalinity, total; Partial pressure of carbon dioxide water at sea surface temperature wet air; LONGITUDE; LATITUDE; Category; Carbonate system computation flag; Carbon dioxide; Fugacity of carbon dioxide water at sea surface temperature wet air; Bicarbonate ion; Carbonate ion; Carbon, inorganic, dissolved; Calcite saturation state; 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.956222; https://doi.pangaea.de/10.1594/PANGAEA.956222

We assess the role of direct and indirect effects of coastal environmental drivers (including the parameters of the carbonate system) on energy expenditure (MR) and body mass (M) of the intertidal mussel, Perumytilus purpuratus, across 10 populations distributed over 2800 km along the Southern Eastern Pacific (SEP) coast. We find biogeographic and local variation in carbonate system variables mediates the effects of latitude and temperature on metabolic rate allometry along the SEP coast. Also, the fitted Piecewise Structural Equation models (PSEM) have greater predictive ability (conditional R2 = 0.95) relative to the allometric scaling model (R2 = 0.35). The largest standardized coefficients for MR and M were determined by the influence of temperature and latitude, followed by pCO2, pH, total alkalinity, and salinity. Thus, physiological diversity of P. purpuratus along the SEP coast emerges as the result of direct and indirect effects of biogeographic and local environmental variables. ... : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2021) 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 2023-03-08. ...