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.
NOAA academic partners Salisbury and Cai will organize and lead a 34-days cruise covering 12 transects of the U.S. and Canadian coast oceans from Nova Scotia in the north to the Gulf of Maine, Long Island Sound, Mid-Atlantic and Southern Bight regions, ending with a transect off of mid Florida. This cruise will serve as a synoptic characterization of the marine carbonate parameters of the coastal ocean with increased coverage in nearshore areas that have not surveyed in the previous cruises and subsurface dynamics that are not captured from using buoyed assets or ships of opportunity. The climate quality data from these cruises provide an important link to the Global Ocean Acidification Network (GOAN) effort, and serves as a start of a long-term record of dynamics and processes controlling Ocean Acidification (OA) on the coastal shelves. To this end there is an increasing focus on these cruises to perform rate measurements (e.g. NPP/NEP/NEC) for validation measurements of autonomous assets and buoyed assets, for algorithm development utilizing remotely sensed signals that are used to characterize saturation states, and to project the future state of ocean acidification in the project area.
This project will provide service and maintenance of sensors and ground-truthing of the mooring data at the Gray's Reef OA monitoring site, as well as data quality control and synthesis. Specifically, we will accomplish the follow three tasks: 1. Deployment and maintenance of the sensors (pCO2, pH, and dissolved oxygen); 2. Collection of underway pCO2 data and bulk water samples for analyses using ship-of-opportunity and dedicated cruises about four times a year; and 3. Data quality control and data synthesis.
Analysis of the data collected during the first (2007) and the second (2012) Gulf of Mexico and East Coast Carbon (GOMECC) cruises showed measurable temporal pH and aragonite saturation state (ΩAr) changes along the eight major transects. However, it is challenging to determine how much of this temporal change between the two cruises is due to ocean acidification and how much is due to variability on seasonal to interannual scales. Indeed, the expected 2% average decrease in ΩAr due to increasing atmospheric CO2 levels over the 5-year period was largely overshadowed by local and regional variability from changes in ocean circulation, remineralization/respiration and riverine inputs (Wanninkhof et al., 2015). Therefore, in order to provide useful products for the ocean acidification (OA) research community and resource managers, it is important to filter out seasonal cycles and other variability from the multi-annual trend. Here, we propose to use a high-resolution regional ocean-biogeochemistry model simulation for the period of 1979 - present day (real-time run) to fill the temporal gap between the 1st and 2nd GOMECC cruise data. In addition we will fine-tune and validate the model by using extensive surface water pCO2 observations from the ships of opportunity in the coastal region (SOOP-OA), and using the carbon observations from the East Coast Ocean Acidification Cruises (ECOA-1) and OAP mooring stations and from remotely sensed data. Then, we will use the real-time model run to estimate the 5-year trends (2012 – 2007) of OA and the carbon and biogeochemical variables along the East and Gulf coasts of the U.S. We will also examine the future OA variability in the East and Gulf coasts of the U.S. by downscaling the future climate projections under different emission scenarios developed for the IPCC-AR5. Based on the results obtained from the proposed model simulations, we will contribute to an observational strategy suitable for elucidating multi-annual trend of carbon and biogeochemical variables along the East and Gulf coasts of the U.S.
NOAA operates the largest ship of opportunity (SOOP) effort for surface CO2 observations in the world. The objective of the ocean acidification (OA) monitoring effort in the coastal ocean on NOAA fisheries ships Gordon Gunter and Henry B. Bigelow is to obtain data for a data-based ocean acidification product suite for the East Coast and Gulf Coast. The ship of opportunity (SOOP) in support of OA monitoring (SOOP-OA) is in direct response to the needs expressed in the NOAA OA strategic plan, national and international program documentation, to understand how the rates and magnitude of acidification will vary across time and space, as a consequence of local and regional geochemical, hydrological, and biological variability and trends. The core of understanding rests upon monitoring the carbon system and related physical and biogeochemical parameters that are used to characterize the state of the coastal ocean in the project area.
The NOAA fisheries ships Gunter and Bigelow provide regular cruise tracks used in stock assessments such that over time correlations and causality can be obtained between OA and fisheries interests. The repeatability also provides good snapshots of change. As there are robust correlations between surface CO2 levels and remotely sensed parameters, these data are critical for the mapping of OA parameters. The development of algorithms to perform this mapping is done from support measurements on the SOOP-OA, other SOOP data under our purview, and from the dedicated research cruises.