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.
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.
We are likely to see "winners", those species or individuals that are most resilient in the face of climate change, and "losers" those species or individuals that are least capable of robust performance under stressful conditions. At present, we cannot predict winners and losers, and do not know whether responses to environmental stress are primarily driven by phenotypic plasticity, broad performance under different environmental conditions, or if there are genetic or epigenetic factors that can result in cross-generational directional changes in populations, resulting in more resilience under stressful conditions of OA. This project has two objectives:
1) To test for cross-generational adaptation to the impacts of increasing ocean acidification on blue mussels, either through phenotypic acclimation or through heritable changes.
2) To determine if there are tradeoffs in growth and development across life stages in response to stress induced by ocean acidification in blue mussels.\
The results of our experiments can then be used to develop management practices for wild populations and more robust aquaculture practices for blue mussels. From an aquaculture perspective, if animals from certain source populations are more resilient to OA stress, those locations could be targeted for collection of wild seed that will produce resilient mussels in aquaculture leases. Furthermore, the environmental characteristics of these advantageous site(s) could then be characterized to predict other sites that may also produce resilient mussels. Overall, the data obtained from this proposed work could be used to enhance mussel culture, an economically important activity of growing importance in our region.
This proposal will quantify the sensitivity of a key forage fish in the Northwest Atlantic to the individual and combined effects of the major factors comprising the ocean climate change syndrome: warming, acidification, and deoxygenation. We will rear embryos of Northern sand lance Ammodytes dubius, obtained by strip-spawning wild adults from the Stellwagen Bank National Marine Sanctuary (SBNMS) through larval and early juvenile stages in a purpose- built factorial system at different factorial combinations of temperature, CO2 and oxygen.
Our first objective is to quantify individual and combined effects of temperature × CO2 (year 1) and temperature × CO2 × DO (year 2) on A. dubius growth and survival. We hypothesize that warming in combination with high CO2 (low pH) will have additive or synergistically negative effects, whereas the addition of low DO as a third stressor will have stark, synergistically negative effects on all traits. Our second objective is to characterize the swimming behavior of A. dubius larvae that have been reared under combinations of elevated temperature × CO2. We hypothesize that combined stressors will have synergistically negative effects on the development of larval sensory systems, which express themselves and can thus be quantified as changes in larval swimming behavior. Our third objective is to take advantage of the rare winter sampling activities for this project to quantify CO2, pH, and DO variability in benthic waters on Stellwagen Bank through bottle collections and short-term sensor deployments. We hypothesize that bottom water pH and DO levels during the sand lance spawning season might be routinely lower than levels in surface waters.
The overall aim of this proposal is to identify molecular mechanisms and markers that segregate "Winners" from "Losers" in three regionally-important bivalve species. The proposed research will identify molecular markers and mechanisms associated with resilience to acidification in some of the most important bivalve species along the east coasts: the eastern oyster (Crassostrea virginica), the hard clam (Mercenaria mercenaria), and the blue mussel Mytilus edulis. Furthermore, identified genetic markers will be validated with the aim of providing the aquaculture industry with tools needed to produce superior crops.
We have three specific objectives:
(1) To identify molecular processes involved in bivalve resilience to ocean acidification and to characterize genetic markers associated with resilience
(2) To validate the ability of identified markers to predict resilience towards acidification
(3) To determine the physiological cost of resilience
This research has major implications for basic and applied science. It will determine molecular and physiological mechanisms and pathways involved in bivalve natural resilience to acidification and identify molecular features associated with resilience. This information is greatly needed for the management of wild fisheries and for the development of resilient varieties of aquacultured stocks. Resilient broodstocks will provide the industry with superior germline to face current and projected episodes of acidification in local waters.
Co-PI's Wahle (UMaine) and Fields (Bigelow Laboratory) join Co-investigator Greenwood (UPEI) in this US-Canadian collaboration. The proposed study is designed to fill knowledge gaps in our understanding of the response of lobster larvae to ocean warming and acidification across lobster subpopulations occupying New England’s steep north-south thermal gradient. The research involves a comprehensive assessment of the physiological and behavioral response of lobster larvae to climate model-projected end-century ocean temperature and acidification conditions. We will address the following two primary objectives over the 2-year duration of the proposed study:
(1) To determine whether projected end-century warming and acidification impact lobster larval survival, development, respiration rate, behavior and gene expression; and
(2) To determine whether larvae from southern subpopulations are more resistant than larvae from northern populations to elevated temperature and pCO2.
This project uses data from experimental studies on the biological effects of ocean acidification (OA), largely funded by NOAA's Ocean Acidification Program (OAP), to construct realistic population‐process models of marine finfish populations. The models are of an individual‐ based model (IBM) category that use detailed biological responses of individuals to OA. This tool synthesizes OA data in two different ways. First, it accumulates and connects data through mechanistic relationships between the environment and fish life‐history. Second, it allows exploration of the population‐level consequences of CO2 effects (the source of OA) which explicitly include population effects carried over from the highly sensitive early life‐stages (ELS). This information is fundamental to understanding the community and ecosystem effects of OA on living marine resources.
Project efforts are directed at two different, complimentary levels. At the more detailed, specific level, winter flounder – an economically important, well‐studied fish of Mid‐Atlantic to New England waters – will be used as a model subject. Prior studies on winter flounder, augmented by OAP‐funded experimental work at NOAA/NEFSC, will provide estimates of CO2 effects on key life‐history and ecological parameters (e.g., fertilization, larval growth, development, and survival). An IBM previously developed by the PIs will be updated and expanded to include OA effects on these parameters. The winter flounder OA‐IBM will be exercised by evaluating the responses of the ELSs of this species under multiple scenarios: high average levels of CO2 representing future oceans in shelf habitats; high and variable CO2 depicting future inshore, estuarine habitats; and covariances of CO2 with other environmental stressors (e.g., warmer waters, hypoxia). At a general level and applicable to other species, the project will develop a web‐based tool that allows users to add details from other marine finfish of the NE USA and OA‐affected processes as relevant OA data on those species become available.