Assessing ocean acidification as a driver for enhanced metals uptake by Blue mussels (Mytilus edulis): implications for aquaculture and seafood safety
Why we care
Ocean acidification causes changes in the chemistry of stressors such as metals and may affect both the susceptibility of these animals to the contaminants as well as the toxicity. This is especially important for animals like blue mussels and other economically important shellfish that accumulate toxins in their bodies. Metal accumulation as a co-stressor of ocean acidification is not well documented for northeastern U.S. shellfish aquaculture species and better understanding these relationships supports seafood safety.
What we are doing
This work investigates the impacts of metal speciation (forms) on blue mussels under acidified conditions in both field and laboratory experiments. Scientists will first study uptake rates of these metals by blue mussels and then see how changing conditions affects their accumulation and toxicity. Comparing what they learn in the lab to what occurs in the field where these mussels are farmed, helps support decisions for seafood safety and industry best practices.
Benefits of our work
Coastal managers and aquaculturists can use these results that provide the societal benefits of better informed siting of aquaculture and safer seafood.
The U.S. Northeast Shelf Large Marine Ecosystem, supports some of the nation’s most economically valuable coastal fisheries, yet most of this revenue comes from shellfish that are sensitive to ocean acidification (OA). Furthermore, the weakly buffered northern region of this area is expected to have greater susceptibility to OA. Existing OA observations in the NES do not sample at the time, space, and depth scales needed to capture the physical, biological, and chemical processes occurring in this dynamic coastal shelf region. Specific to inorganic carbon and OA, the data available in the region has not been leveraged to conduct a comprehensive regional-scale analysis that would increase the ability to understand and model seasonal-scale, spatial-scale, and subsurface carbonate chemistry dynamics, variability, and drivers in the NES. This project optimizes the NES OA observation network encompassing the Mid-Atlantic and Gulf of Maine regions by adding seasonal deployments of underwater gliders equipped with transformative, newly developed and tested deep ISFET-based pH sensors and additional sensors (measuring temperature, salinity for total alkalinity and aragonite saturation [ΩArag] estimation, oxygen, and chlorophyll), optimizing existing regional sampling to enhance carbonate chemistry measurements in several key locations, and compiling and integrating existing OA assets. The researchers will apply these data to an existing NES ocean ecosystem/biogeochemical (BGC) model that resolves carbonate chemistry and its variability.