Ocean acidification is a threat to food security, economies, and culture because of its potential impacts on marine ecosystem services. Information on how ocean acidification will impact ecosystems and the services they provide can help guide how we adapt to and mitigate forecasted changes.
The OAP funds modeling studies to advance our understanding of the impacts of ocean acidification on coastal ecosystems and fisheries.
Scientists can use a wide variety of models to project the potential progression of acidification in different regions, the impacts that changes in chemistry may have on marine life, and how these changes could affect a variety of ecosystem services including fisheries, aquaculture, and protection of coasts by coral reefs. For example, projections of ocean acidification can be incorporated into food-web models to better understand how changing ocean chemistry could affect harvested species, protected species, and the structure of the food web itself. Economic-forecast models can be used to analyze the economic impacts of potential changes in fisheries harvest caused by ocean acidification.
Figure from: Harvey et al. 2010
Experiments on species response suggest that ocean acidification will directly affect a wide variety of organisms from calcifying shellfish and coral to fish and phytoplankton. Ecosystem models can capture the complex effects of ocean acidification on entire ecosystems.
How marine organisms respond to ocean acidification will be influenced by their reaction to chemistry change and their interactions with others species, such as their predators and prey. Scientists use ecosystem models to understand how ocean chemistry may affect entire ecosystems because they account for the complex interactions between organisms. Output from such modeling exercises can inform management of fisheries, protected species, and other important natural resources. Because ecosystem feedbacks are complex, understanding the uncertainty associated with these models is critical to effective management.
Projections of the economic impacts of ocean acidification can be created by combining economic models with findings from laboratory experiments and ecological models.
For example, these links can be made for port communities or specific fisheries through modeling changes in fish harvest. Researchers at the Alaska Fisheries Science Center have developed bio-economic forecasts for the economically and culturally important species red king crab. Researchers at the Northwest Fisheries Science Center are developing projections of how the economies of regional port communities might be altered by potential changes in West Coast fisheries caused by ocean acidification.
The NOAA Ocean Acidification Program (OAP) is working to build knowledge about how to adapt to the consequences of ocean acidification (OA) and conserve marine ecosystems as acidification occurs.
Turning current observations into forecasts is the key mechanism by which adaptation plans are created.
Forecasting provides insight into a vision of the future by using models that visualize how quickly and where ocean chemistry will be changing in tandem with an understanding of how sensitive marine resources and communities are to these changes. By making predictions about the future, we can better adapt and prepare for ocean acidification. Coastal forecasts for ocean acidification are currently being developed for the West Coast, Chesapeake Bay, the East Coast, Caribbean and the western Gulf of Mexico. Ocean acidification hotspots are areas that are particularly vulnerable, either from a biological, economic, or cultural perspective. Identification of these hot spots in coastal waters is a priority for the Coastal Acidification Networks (CANs), fostered by the Ocean Acidification Program around the country. These networks bring together scientists, decision makers, fishermen and other stakeholders to identify and answer the most important questions about acidification and its effects in the region.
NOAA scientists have played an important role in development of the J-SCOPE forecast system, used to create seasonal forecasts for the North Pacific region. These forecasts will allow fisheries managers to predict seasonal outlooks for management decisions.
Developing innovative tools to help monitor ocean acidification and mitigate changing ocean chemistry locally
Management strategies use information provided by research and tools that can be used to make sound decisions to effectively conserve marine resources. Baseline research about organism and community sensitivity to ocean acidification is incorporated into these strategies, in an effort to sustain these resources for the future.
Before management plans can be created it is necessary to have baseline research about the effects of ocean acidification on marine resources, such as Pacific oysters, Dungeness crabs and rockfish. The OAP funds NOAA Fisheries Science Centers to expose various life stages of valuable species to present and future acidification conditions. The biological response research is then incorporated into models that can be used to create tools for managers to use so that they can test different scenarios on species’ populations and habitats. Modeling efforts led by Woods Hole Oceanographic Institution are now being used to produce one of these tools for Atlantic sea scallop fisheries. The dashboard will allow managers to test the impacts of different management actions on scallop populations. In the Pacific Northwest, NOAA, the University of Washington, and shellfish industry scientists have formed a strong partnership to adapt to ocean acidification impacts that have already affected the shellfish industry. Together these researchers determined that acidification was threatening oyster production and offered an approach to address it. They installed equipment to monitor carbon chemistry at shellfish hatcheries and worked with hatchery managers to develop methods that protect developing oyster larvae from exposure to low pH waters. Early warning tools are now being used to forecast seasonal acidification conditions to enable shellfish growers to adapt their practices.
Ocean acidification is a global challenge, and the most effective adaptation strategies are holistic, incorporating the knowledge and experiences of many sectors. As an answer to the difficulty of bridging geographic and professional divides, together with the Interagency Working Group on Ocean Acidification, NOAA helped launch the Ocean Acidification Information Exchange, an online community and discussion forum.
The OA Information Exchange is designed to make it easy to connect and find information, with tools to post updates, share documents, media, links, and events with fellow members. The site welcomes scientists, educators, students, policy makers, members of industry, and concerned citizens to help fulfill the mission of building a well-informed community ready to respond and adapt to ocean and coastal acidification. If you would like to join the conversation, please request an account at oainfoexchange.org/request-account.html
This portal provides a real-time data stream of ocean acidification data that can be used by shellfish growers, regional managers, stakeholders and the public. The portal can be used to make resource decisions and build adaptation strategies.
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.
Over the past 15 years, waters in the Gulf of Maine have taken up
CO2at a rate significantly slower than that observed in the open oceans due to a combination of
the extreme warming experienced in the region and an increased presence of well-buffered Gulf
Stream water. The reduced uptake of CO2 by the shelves could
also alter local acidification rate, which differ from the global rates. The intrusion of
anthropogenic CO2is not the only mechanism that can reduce Ωarag within coastal surface waters.
Local processes like freshwater delivery, eutrophication, water column metabolism, and
sediment interactions that drive variability on regional scales can also modify spatial variability
in Ωarag. Global projections cannot resolve these local processes with resolution of a degree
or more. Some high-resolution global projections have been developed which perform well in
some coastal settings . However, these simulations do not include regional
biogeochemical processes described above which can amplify or dampen these global changes,
particularly in coastal shelf regions. Our hypothesis is that a regionally downscaled projection
for the east coast of the US can be used to evaluate the ability of the existing observational
network to detect changes in ocean acidification relevant stressors for scallops and propose a
process-based strategy for the network moving forward.