Evaluating ocean acidification vulnerability and interactions among traditional and coastal Alaska industries
Why we care
Many marine species affected by ocean acidification (OA) contribute to Alaska’s highly productive commercial fisheries and traditional subsistence ways of life. Concern exists that acidification will cause ecosystem-level shifts, diminishing the overall economic value of commercial fisheries and reducing food security for communities relying on subsistence harvests.
What we are doing
This project addresses acidification threats in south-central and southeast Alaska. It involves the development of decision support tools incorporating acidification risks into localized socio-ecological systems. The tools are based on a network of models representing acidification hazards, bio-ecological systems, and socioeconomic systems linked to adaptive actions.
Benefits of our work
This project is an exchange of knowledge between scientists, policy makers, and community stakeholders. The network of models creates decision support tools responsive to stakeholder concerns that reflect regional variation in community priorities and their ecological social and management context. The project synthesizes the best available science to determine the risks posed by ocean acidification.
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.
Coastal Maine supports valuable lobster, clam, oyster and other shellfish industries that comprise >90% of Maine’s record $616M landed value last year. Earlier monitoring efforts in Maine and New Hampshire have documented periods of unusually acidic conditions in subsurface waters of Maine’s estuaries, which may be driven by episodic influxes of waters from the Gulf’s nutrient-rich, highly productive coastal current system. Sources of acidity to the estuaries also include the atmosphere, freshwater fluxes, and local eutrophication processes, all modulated by variability imparted by a number of processes.This project is a data synthesis effort to look at long-term trends in water quality data to identify the key drivers of acidification in this area. Extensive data sets dating back to the 1980s (including carbonate system, hydrography, oxygen, nutrients, and other environmental variables) will be assembled, subjected to QA/QC, and analyzed to assess acidification events in the context of landward, seaward and direct atmospheric sources, as may be related to processes operating on tidal to decadal timescales. Such analyses are requisite for any future vulnerability assessments of fishery-dependent communities in Maine and New Hampshire to the effects of coastal acidification.
Ocean acidification (OA) is already harming shellfish species in the Pacific Northwest, a global hotspot of OA. While OA poses a threat to regional communities, economies, and cultures that rely on shellfish, identified gaps remain in adaptive capacity and vulnerability of several stakeholders. This project will address these gaps by extending long-standing collaborative OA vulnerability research with shellfish growers to include other shellfish users (e.g. port towns, Native American tribes and shellfish sector employees). The project includes five objectives: 1) Map variations in shellfisheries’ exposure to OA and identify those that are most sensitive, 2) quantify production losses from OA and costs of investment in adaptation 3) Identify potential pathways for adaptation, 4) identify key technological, institutional, legislative, financial and cultural barriers to OA adaptation, 5) evaluate the cost of potential adaptation strategies, and develop behavioral models to predict the likelihood of users adopting specific adaptation strategies. The research is designed to identify key vulnerabilities, determine the cost of OA to Pacific Northwest shellfish stakeholders, and to model adaptation pathways for maximizing resilience to OA. The adaptation framework developed here will be replicable in other shellfisheries yet to experience OA impacts.