Understanding biodiversity in the Gulf of Mexico using eDNA

Luke Thompson - Mississippi State University

Assessing ecosystem responses of Gulf of Mexico coastal communities to ocean acidification using environmental DNA

Why we care 
Recent efforts to monitor ocean acidification in the Gulf of Mexico via the Gulf of Mexico Ecosystems and Carbon Cycle (GOMECC) cruises have revealed spatial differences in ocean acidification. While we know that ocean acidification negatively impacts many species and exacerbates the effects of oxygen limitation and harmful algal blooms, there is little work to monitor or predict the effects of ocean acidification on biodiversity. This project employs cutting-edge technology using environmental DNA to assess biodiversity in different conditions in the Gulf of Mexico region.

What we are doing
Every organism sheds DNA. This project analyzes environmental DNA (eDNA), which is free-floating or microscopic DNA found in seawater, collected during the 4th GOMECC cruise, to identify biodiversity of bacteria, plankton, and fish in the Gulf of Mexico. eDNA will be compared to ocean properties to draw conclusions about drivers of biodiversity. 

Benefits of our work
Links between eDNA, ocean acidification, and other ocean properties will provide a deeper understanding of environmental drivers of biodiversity. These relationships can inform predictions of biodiversity patterns and guide the management of key habitats in the Gulf of Mexico, and help us adapt to changing ocean conditions.


Tuesday, June 14, 2022

Ocean acidification interactions in the Gulf of Mexico

Xinping Hu - Texas A&M University

Ocean Acidification on a Crossroad: Enhanced Respiration, Upwelling, Increasing Atmospheric CO2, and their interactions in the northwestern Gulf of Mexico

Why we care
In the coastal ocean, local drivers such as nutrient input and physical oceanographic changes impact the magnitude of short-term variations and long-term trends in ocean acidification. The Gulf of Mexico’s coral reefs and banks are ecologically sensitive to changing ocean chemistry. Decadal acidification has been observed in the Northwestern Gulf of Mexico, linked more strongly to biological production of carbon dioxide than uptake of human-emitted carbon dioxide. Whether the observed acidification in this region represents a short-term phenomenon or a long-term trend is unknown. This project maintains critical ocean acidification monitoring in a region with impacted habitats and species. 

What we are doing 
This project will test the hypothesis that enhanced atmospheric carbon dioxide, nutrient input, and upwelling will cause the continental shelf-slope region in the Northwestern Gulf of Mexico to acidify faster than other tropical and subtropical seas. The research team will incorporate observations from new large-scale surveys into oceanographic and statistical models that predict variation in ocean acidification over space and time.

Benefits of our work
The outcomes of this project will meet the long-term goal of optimizing ocean acidification monitoring in the Northwestern Gulf of Mexico and will document methodology that can be used in similar efforts in the future. This project will examine an area in the poorly understood Gulf of Mexico Large Marine Ecosystem, produce the first ever high-resolution dataset in surface and subsurface waters, and direct the future deployment of in-situ monitoring devices in this ecologically and economically important region.

Thursday, March 10, 2022

Ocean acidification featured at 2022 Ocean Sciences Meeting

The 2022 Ocean Sciences Meeting held virtually February 24 - March 4 will feature more than 30 ocean and coastal acidification presentations by researchers supported by NOAA Ocean Acidification Program. Read more about their presentations, which include talks, posters, a town hall meeting and tutorial about Harmful Algal Blooms (HABs) and ocean acidification research. The Ocean Sciences Meeting, the global leader of ocean sciences conferences, is co-sponsored by the American Geophysical Union (AGU), the Association for the Sciences of Limnology and Oceanography (ASLO), and The Oceanography Society (TOS). 

Monday, February 28, 2022

British Columbia to southern California: making headway with ocean change

NOAA Pacific Marine Environmental Laboratory

On June 13, scientists aboard the NOAA Ship Ronald H. Brown set out on the West Coast Ocean Acidification Research Cruise to characterize conditions along the West Coast of North America and continue to build a unique time-series of carbon and hydrographic measurements in areas expected to be highly impacted by ocean acidification. 
Wednesday, July 14, 2021
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Ocean Acidification at a Crossroad– Enhanced Respiration,Upwelling, Increasing Atmospheric CO2, and their interactions in the northwestern Gulf of Mexico”

Xinping Hu, Texas A&M University-Corpus Christi

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.

Tuesday, March 3, 2020
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