GoMRI
Investigating the effect of oil spills
on the environment and public health.
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Victoria Coles

University of Maryland

Center for Environmental Science

UMCES Center Administration
Post Office Box 775
Cambridge , MD  21613  

vcoles@umces.edu

Project List:

Consortium for Simulation of Oil-Microbial Interactions in the Ocean (CSOMIO)

Year 8-10 Research Grants (RFP-VI)Role: Co-Principal Investigator

Publications & Presentations:

Journal Articles - 2

2021

Dukhovskoy, D. S., Morey, S. L., Chassignet, E. P., Chen, X., Coles, V. J., Cui, L., Harris, C. K., Hetland, R., Hsu, T., Manning, A. J., Stukel, M., Thyng, K., & Wang, J. (2021). Development of the CSOMIO Coupled Ocean-Oil-Sediment- Biology Model. Frontiers in Marine Science, 8.

2020

Shropshire, T. A., Morey, S. L., Chassignet, E. P., Bozec, A., Coles, V. J., Landry, M. R., Swalethorp, R., Zapfe, G., & Stukel, M. R. (2020). Quantifying spatiotemporal variability in zooplankton dynamics in the Gulf of Mexico with a physical–biogeochemical model. Biogeosciences, 17(13), 3385-3407.

Conference Presentations - 12

2020

Coles, V. W., J.; Mason, O. S., & M (2020). Understanding how trait-based modeling (Genome-based EmergeNt Ocean Microbial Ecosystem Model) influences predictions of biogeochemical, ecological, and microbial system responses. In Ocean Sciences Meeting 2020
Morey, S. C., E.P.; Dukhovskoy, D. H., C.K.; Coles, V. S., M.; Hetland, R. T., K.; Hsu, T. M., A.; Mason, O. Y., L.; Cui, L. C., & J.; Wang, J. (2020). A coupled modeling system for simulating oil-biological-sediment interactions in the ocean. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2020
Morey, S. C., E.P.; Dukhovskoy, D. H., C.K.; Coles, V. S., M.R.; Hetland, R. T., K.M.; Hsu, T. M., A.J.; Mason, O. X., V.R.; Kobashi, D. Q., L.; Ye, L. C., L.; Chen, X. W., & J (2020). A coupled modeling system for simulating oil-biological-sediment interactions in the ocean. In Ocean Sciences Meeting 2020
Shropshire, T. M., S.L.; Chassignet, E. C., V.; Karnauskas, M. L., M.R.; Lee, S. Z., & G.; Stukel, M. (2020). Zooplankton validation in a physical-biogeochemical model with potentially valuable applications to fisheries management in the Gulf of Mexico. In Ocean Sciences Meeting 2020
Wang, J. C., V.; Stukel, M. M., & O (2020). Rapid adaptation of the microbial community to abrupt environmental change in the Gulf of Mexico modeled with the Genome-based EmergeNt Ocean Microbial Ecosystem Model. In Ocean Sciences Meeting 2020

2019

Morey, S. C., E.; Dukhovskoy, D. S., M.; Harris, C. H., R.; Thyng, K. C., V.; Hsu, T. M., & A.; Mason, O. (2019). Development of a coupled modeling system for simulating oil-microbial-sediment interactions in the ocean. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2019
Stropshire, T. M., S.; Chassignet, E. C., V.; Karnauskas, M. L., M.; Lee, S. S., & M (2019). Estimates of food limitation experienced by coastal-pelagic fish larvae in the Gulf of Mexico. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2019
Wang, J. C., V.; Kelly, T. M., O.U.; Stropshire, T. S., & M.R (2019). Oil-Microbe interactions in the Gulf of Mexico (GoM) modeled with the Genome-based EmergeNt Ocean Microbial Ecosystem Model. In ASLO 2019 Aquatic Sciences Meeting
Wang, J. C., V.; Kelly, T. M., O.U.; Stropshire, T. S., & M.R (2019). Oil-Microbe interactions in the Gulf of Mexico (GoM) modeled with the Genome-based EmergeNt Ocean Microbial Ecosystem Model. In Gulf of Mexico Oil Spill & Ecosystem Science Conference 2019
Wang, J. C., V.; Stukel, M. K., & T.; Mason, O. (2019). Rapid adaptation of the microbial community to abrupt environmental change in the Gulf of Mexico modeled with the Genome-based EmergeNt Oceand Microbial Ecosystem Model. In 2019 Ocean Carbon and Biogeochemistry (OCB) Summer Workshop

2018

Coles, V. (2018). Is it who you are or what you do? Evolution of metabolic function shapes ocean biogeochemistry in a gene-based model. In 2018 Ocean Carbon and Biogeochemistry Summer Workshop
Coles, V. S., M.; Moran, M. H., & R (2018). Metabolic function not microbial taxonomy determines ocean biogeochemical gradients in a gene based marine ecosystem model. In Ocean Sciences Meeting 2018