Award Abstract # 1657727
Carbon Cycling in Carbonate-Dominated Benthic Ecosystems: Eddy Covariance Hydrogen Ion and Oxygen Fluxes

NSF Org: OCE
Division Of Ocean Sciences
Recipient: WOODS HOLE OCEANOGRAPHIC INSTITUTION
Initial Amendment Date: January 23, 2017
Latest Amendment Date: June 4, 2019
Award Number: 1657727
Award Instrument: Standard Grant
Program Manager: Henrietta Edmonds
hedmonds@nsf.gov
 (703)292-7427
OCE
 Division Of Ocean Sciences
GEO
 Directorate for Geosciences
Start Date: February 1, 2017
End Date: January 31, 2021 (Estimated)
Total Intended Award Amount: $523,940.00
Total Awarded Amount to Date: $523,940.00
Funds Obligated to Date: FY 2017 = $523,940.00
History of Investigator:
  • Matthew Long (Principal Investigator)
    mlong@whoi.edu
  • Daniel McCorkle (Former Co-Principal Investigator)
Recipient Sponsored Research Office: Woods Hole Oceanographic Institution
266 WOODS HOLE RD
WOODS HOLE
MA  US  02543-1535
(508)289-3542
Sponsor Congressional District: 09
Primary Place of Performance: Woods Hole Oceanographic Institution
183 Oyster Pond Road
Woods Hole
MA  US  02543-1501
Primary Place of Performance
Congressional District:
09
Unique Entity Identifier (UEI): GFKFBWG2TV98
Parent UEI:
NSF Program(s): Chemical Oceanography
Primary Program Source: 01001718DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1382, 1389
Program Element Code(s): 167000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

Chemical and biological processes that occur in and on the seafloor can create chemical exchange of elements with seawater and make significant contributions to carbon and nutrient cycling in shallow coastal systems. However, these processes are exceedingly difficult to measure directly in the ocean, with no satisfactory methods currently available to quantify their full impact. The researchers undertaking this project have developed a unique, field instrument referred to as the Eddy Covariance H+ and O2 Exchange System (ECHOES). These novel measurements of hydrogen ion (H+) and oxygen (O2) exchange between the seafloor and the overlying seawater will allow unique, direct evaluation of the important linked biological and chemical reactions. Data from ECHOES will transform understanding of the potentially critical contribution of seafloor processes to the resilience of coastal ecosystems experiencing rapid changes in seawater chemistry. Results from this project will provide critical data for improved models of the consequences of coastal acidification. Additionally, this project will fund an early career scientist and the mentorship of undergraduate students in ocean science research through the Woods Hole Oceanographic Institute's Summer Student Fellowship Program.

Laboratory experiments have successfully examined the benthic response of individual organisms and chemical reactions to stress related to changing seawater chemistry but the integrated response of intact ecosystems has been very difficult to quantify due to unsatisfactory methods for in situ measurements of the required suite of biogeochemical fluxes. This deployment of ECHOES at a variety of carbonate-dominated seafloor sites in Bermuda is a pioneering effort to simultaneously measure net community production (NCP) and net community calcification (NCC). The study will focus on traditionally difficult-to-study systems including complex reefs, vertical seagrass canopies, and bare permeable sediments, evaluating diel variability, patchiness, and the impact of upstream fluxes on downstream ecosystems. Important biogeochemical parameters (e.g. pH, CO2, O2, alkalinity, etc.) in these productive shallow environments can experience daily fluctuations over a greater dynamic range than 100-year model projections for the open ocean due to increasing atmospheric CO2. Therefore, the novel field data generated by this research will help define the potentially critical and heretofore ill-defined role for shallow, productive carbonate sediments in predictive models of ecosystem response to ocean acidification.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Hopkinson, Brian M. and King, Andrew C. and Owen, Daniel P. and Johnson-Roberson, Matthew and Long, Matthew H. and Bhandarkar, Suchendra M. "Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks" PLOS ONE , v.15 , 2020 https://doi.org/10.1371/journal.pone.0230671 Citation Details
Long, Matthew H. "Aquatic Biogeochemical Eddy Covariance Fluxes in the Presence of Waves" Journal of Geophysical Research: Oceans , v.126 , 2021 https://doi.org/10.1029/2020JC016637 Citation Details
Long, Matthew H. and Rheuban, Jennie E. and McCorkle, Daniel C. and Burdige, David J. and Zimmerman, Richard C. "Closing the oxygen mass balance in shallow coastal ecosystems" Limnology and Oceanography , v.64 , 2019 https://doi.org/10.1002/lno.11248 Citation Details
Owen, Daniel P. and Long, Matthew H. and Fitt, William K. and Hopkinson, Brian M. "Taxonspecific primary production rates on coral reefs in the Florida Keys" Limnology and Oceanography , v.66 , 2021 https://doi.org/10.1002/lno.11627 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Biogeochemical processes can be estimated by the exchange of vital tracers between the seafloor, overlying water, and the atmosphere and are paramount to understanding global biogeochemical cycling. Techniques that measure water transport and tracers of these processes (here oxygen and pH) have revolutionized how these exchanges are studied, and how they impact local water quality, productivity, and nutrient cycling. Through measurements of oxygen concentration and pH, and their transport by water movement, their exchange can be determined.

This project used the newly developed eddy covariance hydrogen ion and oxygen exchange systems (ECHOES) to evaluate the coupled benthic processes of photosynthesis / respiration and dissolution / calcification at an ecosystem scale on the Bermuda platform and in the Florida Keys, to quantify their contribution to carbon cycling, water column chemistry and the effects of adjacent benthic communities. The co-measured hydrogen ion (or pH) and oxygen exchange rates (in combination with discrete measurements of carbonate chemistry) provided a comprehensive analysis of the total ecosystem carbon cycling and allowed for a truly in situ examination of the natural drivers of carbon cycling, metabolism, and calcification. These results revealed interactions between these processes through high frequency, ecosystem scale measurements that are now possible with the ECHOES. The influence of benthic processes on shallow coastal waters highlighted the multiple parameter dependency (residence time, benthic community, light) of the local carbonate chemistry and the potential resilience of dynamic coastal environments to changing ocean conditions.

Eddy Covariance techniques were originally developed to examine exchange between the land and atmosphere (e.g. carbon dioxide flux towers, or eddy covariance flux towers), but applying these techniques to aquatic ecosystems presented challenges due to surface waves that were present in the shallow aquatic ecosystems where these aquatic techniques are commonly applied. Waves caused errors in the sensors used to measure water transport and tracer concentrations, and presented significant challenges for applying these atmospheric techniques underwater. This research developed new guidelines for these aquatic exchange measurements that required a change in how measurements were conducted and analyzed, to allow for tracer exchange measurements in the presence of waves. These new guidelines also now allow for new sensors that were previously incompatible, expanding the applications of the eddy covariance technique to new scientific research questions.

 


Last Modified: 06/16/2021
Modified by: Matthew Long

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