Experiment: Food availability outweighs ocean acidification effects in juvenile Mytilus edulis


Autoria(s): Thomsen, Jörn; Casties, Isabel; Pansch, Christian; Körtzinger, Arne; Melzner, Frank
Data(s)

20/02/2014

Resumo

Ocean acidification is expected to decrease calcification rates of bivalves. Nevertheless in many coastal areas high pCO2 variability is encountered already today. Kiel Fjord (Western Baltic Sea) is a brackish (12-20 g kg-1) and CO2 enriched habitat, but the blue mussel Mytilus edulis dominates the benthic community. In a coupled field and laboratory study we examined the annual pCO2 variability in this habitat and the combined effects of elevated pCO2 and food availability on juvenile M. edulis growth and calcification. In the laboratory experiment, mussel growth and calcification were found to chiefly depend on food supply, with only minor impacts of pCO2 up to 3350 µatm. Kiel Fjord was characterized by strong seasonal pCO2 variability. During summer, maximal pCO2 values of 2500 µatm were observed at the surface and >3000 µatm at the bottom. However, the field growth experiment revealed seven times higher growth and calcification rates of M. edulis at a high pCO2 inner fjord field station (mean pCO2 ca. 1000 µatm) in comparison to a low pCO2 outer fjord station (ca. 600 µatm). In addition, mussels were able to outcompete the barnacle Amphibalanus improvisus at the high pCO2 site. High mussel productivity at the inner fjord site was enabled by higher particulate organic carbon concentrations. Kiel Fjord is highly impacted by eutrophication, which causes bottom water hypoxia and consequently high seawater pCO2. At the same time, elevated nutrient concentrations increase the energy availability for filter feeding organisms such as mussels. Thus M. edulis can dominate over a seemingly more acidification resistant species such as A. improvisus. We conclude that benthic stages of M. edulis tolerate high ambient pCO2 when food supply is abundant and that important habitat characteristics such as species interactions and energy availability need to be considered to predict species vulnerability to ocean acidification.

Formato

text/tab-separated-values, 7211 data points

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.829723

doi:10.1594/PANGAEA.829723

Idioma(s)

en

Publicador

PANGAEA

Relação

Lavigne, Héloise; Gattuso, Jean-Pierre (2011): seacarb: seawater carbonate chemistry with R. R package version 2.4. https://cran.r-project.org/package=seacarb

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Thomsen, Jörn; Casties, Isabel; Pansch, Christian; Körtzinger, Arne; Melzner, Frank (2013): Food availability outweighs ocean acidification effects in juvenile Mytilus edulis: laboratory and field experiments. Global Change Biology, 19(4), 1017-1027, doi:10.1111/gcb.12109

Palavras-Chave #Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Baltic; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; calcification; Calcite saturation state; Calcite saturation state, standard deviation; Calcium carbonate, dry weight; Calcium carbonate, dry weight, standard deviation; Calcium carbonate, mass; Calcium carbonate, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, organic, particulate; Carbon, organic, particulate, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure; chemistry; Coverage; Coverage, standard deviation; Date; Experiment; field; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Haemolymph, pH; Haemolymph, pH, standard deviation; Identification; laboratory; Length; Length, standard deviation; Location; Mass; Mass, standard deviation; mollusks; morphology; multiple factors; Nitrogen, organic, particulate; Nitrogen, organic, particulate, standard deviation; nutrients; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Salinity; Salinity, standard deviation; Shell length; Species; Station; Survival; Survival rate, standard deviation; Temperature, standard deviation; Temperature, water; Treatment
Tipo

Dataset