Among the NOAA designated Large Marine Ecosystems, the Gulf of Mexico (GOM) remains poorly understood in terms of its current OA conditions, despite its ecological and economic significance. In the northwestern GOM (nwGOM), decadal acidification has been observed in the shelf-slope region, with metabolic production of CO2 contributing to a larger fraction of CO2 accumulation than uptake of anthropogenic CO2, and the observed rate of acidification is significantly greater than that in other tropical and subtropical areas. Unfortunately, whether the observed OA in this region represents a short-term phenomenon or a long-term trend is unknown. It is hypothesized that increasing atmospheric CO2, increasing terrestrial nutrient export due to an enhanced hydrological cycle, and enhanced upwelling due to climate change will cause the continental shelf-slope region in the nwGOM to acidify faster than other tropical and
subtropical seas. In order to test this hypothesis wave gliders, in -stiu sensor along withe underway measurements from research vessels will measure carbonated chemistry in in surface and shallow waters. Modeling will be used tp integrate the chemical signals into the models to hindcast/predict spatia; and temporal variation of the OA signal for the the optimization of monitoring design and implementation.
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.