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Award Abstract # 1821911
Collaborative Research: Quantifying microbial controls on the annual cycle of methane and oxygen within the ultraoligotrophic Central Arctic during MOSAiC

NSF Org: OPP
Office of Polar Programs (OPP)
Recipient: UNIVERSITY OF CALIFORNIA SAN DIEGO
Initial Amendment Date: August 10, 2018
Latest Amendment Date: August 10, 2018
Award Number: 1821911
Award Instrument: Standard Grant
Program Manager: Colleen Strawhacker
colstraw@nsf.gov
 (703)292-7432
OPP
 Office of Polar Programs (OPP)
GEO
 Directorate for Geosciences
Start Date: September 1, 2018
End Date: August 31, 2023 (Estimated)
Total Intended Award Amount: $618,602.00
Total Awarded Amount to Date: $618,602.00
Funds Obligated to Date: FY 2018 = $618,602.00
History of Investigator:
  • Jeff Bowman (Principal Investigator)
    jsbowman@ucsd.edu
Recipient Sponsored Research Office: University of California-San Diego Scripps Inst of Oceanography
8622 DISCOVERY WAY # 116
LA JOLLA
CA  US  92093-1500
(858)534-1293
Sponsor Congressional District: 50
Primary Place of Performance: UCSD Scripps Inst of Oceanography
La Jolla
CA  US  92093-0210
Primary Place of Performance
Congressional District:
50
Unique Entity Identifier (UEI): QJ8HMDK7MRM3
Parent UEI: QJ8HMDK7MRM3
NSF Program(s): ARCSS-Arctic System Science
Primary Program Source: 0100XXXXDB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 072Z, 1079
Program Element Code(s): 521900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.078

ABSTRACT

The central Arctic Ocean is changing rapidly as multiyear sea ice gives way to a new seasonal sea ice regime, and these regional shifts have important implications for global climate as well as the entire Arctic system. As part of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC), the investigators will use a research vessel frozen into polar ice as a sampling platform to focus on the influence of sea ice on the uptake and release of oxygen and methane across a full annual cycle. Combined with other observations made by MOSAiC collaborators, these data will allow the investigators to build a detailed conceptual model of carbon and energy flow across seasons and improve numerical models explaining the behavior of the broader Arctic system. In addition, they will use genomic techniques to gain a new understanding of microbial dynamcis and diversity in this understudied region. The broader impacts of this work include support for early-career scientists, significant international collaboration as part of the MOSAiC program, and training for postdoctoral scientists and undergraduate students. Public outreach will include viewings of the Northwest Polar Passage documentary Frozen Obsession in San Diego, CA, and Providence, RI, followed by panel discussions on polar exploration, ecology, and change.

The goal of this project is to identify the biological and physical drivers underlying the production and uptake of oxygen and methane, establishing the metabolic balance of these key gases in the oligotrophic Central Arctic. The investigators will take advantage of the unique opportunity afforded by the international, year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition to determine net community production from year-round measurements of oxygen and argon, as well as methane oxidation and production from methane concentration and isotopic ratios. They will measure bacterial and community respiration, bacterial production, and microbial community structure, and analyze gene expression to identify the genes, organisms, and pathways associated with methane production in the surface ocean. Results will be used to model the oceanic methane cycle using the MITgcm Arctic Regional Model and improve the biogeochemical components of the Regional Arctic System Model (RASM).

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Angelopoulos, Michael and Damm, Ellen and Simões Pereira, Patric and Abrahamsson, Katarina and Bauch, Dorothea and Bowman, Jeff and Castellani, Giulia and Creamean, Jessie and Divine, Dmitry V. and Dumitrascu, Adela and Fons, Steven W. and Granskog, Mats "Deciphering the Properties of Different Arctic Ice Types During the Growth Phase of MOSAiC: Implications for Future Studies on Gas Pathways" Frontiers in Earth Science , v.10 , 2022 https://doi.org/10.3389/feart.2022.864523 Citation Details
Chamberlain, E. J. and Balmonte, J. P. and Torstensson, A. and Fong, A. A. and Snoeijs-Leijonmalm, P. and Bowman, J. S. "Impacts of sea ice melting procedures on measurements of microbial community structure" Elementa: Science of the Anthropocene , v.10 , 2022 https://doi.org/10.1525/elementa.2022.00017 Citation Details
Creamean, Jessie M. and Barry, Kevin and Hill, Thomas C. and Hume, Carson and DeMott, Paul J. and Shupe, Matthew D. and Dahlke, Sandro and Willmes, Sascha and Schmale, Julia and Beck, Ivo and Hoppe, Clara J. and Fong, Allison and Chamberlain, Emelia and B "Annual cycle observations of aerosols capable of ice formation in central Arctic clouds" Nature Communications , v.13 , 2022 https://doi.org/10.1038/s41467-022-31182-x Citation Details
Mock, Thomas and Boulton, William and Balmonte, John-Paul and Barry, Kevin and Bertilsson, Stefan and Bowman, Jeff and Buck, Moritz and Bratbak, Gunnar and Chamberlain, Emelia J. and Cunliffe, Michael and Creamean, Jessie and Ebenhöh, Oliver and Eggers, S "Multiomics in the central Arctic Ocean for benchmarking biodiversity change" PLOS Biology , v.20 , 2022 https://doi.org/10.1371/journal.pbio.3001835 Citation Details
Nomura, Daiki and Kawaguchi, Yusuke and Webb, Alison L. and Li, Yuhong and Dallosto, Manuel and Schmidt, Katrin and Droste, Elise S. and Chamberlain, Emelia J. and Kolabutin, Nikolai and Shimanchuk, Egor and Hoppmann, Mario and Gallagher, Michael R. and "Meltwater layer dynamics in a central Arctic lead: Effects of lead width, re-freezing, and mixing during late summer" Elem Sci Anth , v.11 , 2023 https://doi.org/10.1525/elementa.2022.00102 Citation Details
Salganik, Evgenii and Katlein, Christian and Lange, Benjamin A. and Matero, Ilkka and Lei, Ruibo and Fong, Allison A. and Fons, Steven W. and Divine, Dmitry and Oggier, Marc and Castellani, Giulia and Bozzato, Deborah and Chamberlain, Emelia J. and Hoppe, "Temporal evolution of under-ice meltwater layers and false bottoms and their impact on summer Arctic sea ice mass balance" Elementa: Science of the Anthropocene , v.11 , 2023 https://doi.org/10.1525/elementa.2022.00035 Citation Details
Smith, Madison M. and Angot, Hélène and Chamberlain, Emelia J. and Droste, Elise S. and Karam, Salar and Muilwijk, Morven and Webb, Alison L. and Archer, Stephen D. and Beck, Ivo and Blomquist, Byron W. and Bowman, Jeff and Boyer, Matthew and Bozzato, Deb "Thin and transient meltwater layers and false bottoms in the Arctic sea ice packRecent insights on these historically overlooked features" Elem Sci Anth , v.11 , 2023 https://doi.org/10.1525/elementa.2023.00025 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.

This project undertook an investigation of the microbial drivers of dissolved oxygen concentration over an annual cycle in the central Arctic. Oxygen is an important tracer of carbon flow in ecosystems. Oxygen deficits can indicate the net production of CO2, while an oxygen surplus can indicate net CO2 uptake. The Arctic marine microbial community is likely to shift in response to changing sea ice and other conditions. Understanding how microbial community structure influences dissolved oxygen will improve our ability to predict CO2 flux in a future Arctic Ocean.

Data collection was carried out during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. The project supported over 11 months of direct participation by project personnel, including one PhD student who participated for 5 months and took the lead on data analysis. Over 1000 samples were collected and sequenced for 16S and 18S rRNA gene sequence analysis and these data have been made publicy available. Machine learning techniques were used to construct predictive models of oxygen and argon concentration based on microbial community structure. These models were used to predict the concentration of these gases during periods when observations were not possible. Our results show a strong seasonal cycle in biological oxygen utilization that can be predicted by the shifts in microbial community structure. We further determined those microbial taxa likely to be the primary drivers of biological oxygen utilization. Shifts in the abundance of these taxa in response to changing conditions are likely to lead to changes in carbon flow in Arctic marine ecosystems. Our results were disseminated to the scientific community through presentations at multiple meetings and the drafting of a comprehensive manuscript. The work formed the basis for one PhD dissertation which has been published.


Last Modified: 01/29/2024
Modified by: Jeff Bowman

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