Abstract
The Deepwater Horizon (DWH) oil spill in the Gulf of Mexico (GoM) triggered the largest response to a spill in US history (Levy and Gopalakrishnan, J Nat Resources Pol Res, 2(3):297–315, 2010; Barron, Toxicol Pathol 40(2):315–320, 2012). The cumulative research from this response has resulted in hundreds of publications describing the range of impacts from the DWH event on various components of the system. An ecosystem-based approach to assessing the consequences of the DWH oil spill can help to address non-linear and ecosystem-level interactions (reviewed by Curtin and Prellezo, Mar Policy 34(5):821–830, 2010) and would be a key step toward integrating the knowledge gained from research efforts. Whereas Ainsworth et al. (PLoS One 13(1):e0190840, 2018) tested top-down effects of the oil spill on fish abundance and mortality, this chapter represents a synthesis of bottom-up and top-down effects across a broader range of taxa. Bottom-up effects relate to the accumulation of detrital biomass and oil on the seafloor as a result of marine oil snow sedimentation and flocculent accumulation (MOSSFA).
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References
Ainsworth CH, Schirripa MJ, Morzaria-Luna HN (2015) An Atlantis ecosystem model for the Gulf of Mexico supporting integrated ecosystem assessment. US Dept Comm NOAA Technical Memorandum NMFS-SEFSC-676, p 149
Ainsworth CH, Paris CB, Perlin N, Dornberger LN, Patterson WF III, Chancellor E, Murawski S, Hollander D, Daly K, Romero IC, Coleman F (2018) Impacts of the Deepwater Horizon oil spill evaluated using an end-to-end ecosystem model. PLoS One 13(1):e0190840
Aman ZM, Paris CB (2013) Response to comment on “Evolution of the Macondo well blowout: simulating the effects of the circulation and synthetic dispersants on the subsea oil transport”. Environ Sci Technol 47(20):11906–11907
Barron MG (2012) Ecological impacts of the Deepwater Horizon oil spill: implications for immunotoxicity. Toxicol Pathol 40(2):315–320
Brooks GR, Larson RA, Schwing PT, Romero I, Moore C, Reichart GJ, Jilbert T, Chanton JP, Hastings DW, Overholt WA, Marks KP (2015) Sedimentation pulse in the NE Gulf of Mexico following the 2010 DWH blowout. PLoS One 10(7):e0132341
Chancellor E (2015) Vulnerability of larval fish populations to oil well blowouts in the Northern Gulf of Mexico. Master’s Thesis, The University of South Florida, Tampa, FL
Colwell RR, Leinen M, Wilson C, Carron M (2014) The Gulf of Mexico Research Initiative: a new research paradigm. American Petroleum Institute. Int Oil Spill Conf Proc 2014(1):300123
Crain CM, Kroeker K, Halpern BS (2008) Interactive and cumulative effects of multiple human stressors in marine systems. Ecol Lett 11(12):1304–1315
Crain CM, Halpern BS, Beck MW, Kappel CV (2009) Understanding and managing human threats to the coastal marine environment. Ann N Y Acad Sci 1162(1):39–62
Curtin R, Prellezo R (2010) Understanding marine ecosystem-based management: a literature review. Mar Policy 34(5):821–830
Daly KL, Passow U, Chanton J, Hollander D (2016) Assessing the impacts of oil-associated marine snow formation and sedimentation during and after the Deepwater Horizon oil spill. Anthropocene 13:18–33
Deepwater Horizon Natural Resource Damage Assessment Trustees (2016) Deepwater Horizon oil spill: Final Programmatic Damage Assessment and Restoration Plan and Final Programmatic Environmental Impact Statement. Ocean Springs, MS. Accessed May 2018
Dornberger L (2018) Using ecosystem-based modeling to describe an oil spill and assess the long-term effects. PhD Dissertation. University of South Florida, Tampa, 78 pp
Dornberger L, Ainsworth C, Gosnell S, Coleman F (2016) Developing a polycyclic aromatic hydrocarbon exposure dose-response model for fish health and growth. Mar Pollut Bull 109(1):259–266
Fulton EA (2001) The effects of model structure and complexity on the behaviour and performance of marine ecosystem models. PhD Thesis, University of Tasmania, Hobart, Tasmania, Australia, p 427
Fulton EA, Smith A, Johnson C (2004a) Effects of spatial resolution on the performance and interpretation of marine ecosystem models. Ecol Model 176:27–42
Fulton EA, Fuller M, Smith A, Punt A (2004b) Ecological indicators of the ecosystem effects of fishing: Final Report. Australian Fisheries Management Authority, Canberra No. R99, p 1546
Fulton EA, Smith A, Punt A (2005) Which ecological indicators can robustly detect effects of fishing? ICES J Mar Sci 62:540–551
Fulton EA, Smith A, Smith DC (2007) Alternative management strategies for Southeast Australian Commonwealth fisheries: Stage 2: quantitative management strategy evaluation. Australian Fisheries Management Authority, Fisheries Research and Development Corporation, Canberra, ACT, Australia
Gray RH (1990) Fish behavior and environmental assessment. Environ Toxicol Chem 9(1):53–67
Levy JK, Gopalakrishnan C (2010) Promoting ecological sustainability and community resilience in the US Gulf Coast after the 2010 Deepwater Horizon oil spill. J Nat Resources Pol Res 2(3):297–315
Link JS, Gamble RJ, Fulton EA (2011) NEUS—Atlantis: construction, calibration, and application of an ecosystem model with ecological interactions, physiographic conditions, and fleet behavior. NOAA Tech Memo NMFS-NEFSC, p 218
Lubchenco J, McNutt MK, Dreyfus G, Murawski SA, Kennedy DM, Anastas PT, Chu S, Hunter T (2012) Science in support of the Deepwater Horizon response. Proc Nat Acad Sci 109(50):20212–20221
Martin PJ (2000) Description of the Navy Coastal Ocean Model Version 1.0, 749 NRL/FR/ 7322-00-9962. Naval Research Laboratory, p 42
Martin CW (2017) Avoidance of oil contaminated sediments by estuarine fishes. Mar Ecol Prog Ser 576:125–134
Miller C, Medvecky RL, Sherwood TA, Wetzel DL (2017) Uptake, depuration and residence time of polycyclic aromatic hydrocarbons in red drum (Sciaenops ocellatus) exposed to south Louisiana crude oil. Poster presented at the Gulf of Mexico Oil Spill & Ecosystem Science Conference, New Orleans, LA
Montagna PA, Baguley JG, Cooksey C, Hyland JL (2017) Persistent impacts to the deep soft-bottom benthos one year after the Deepwater Horizon event. Integr Environ Assess Manag 13(2):342–351
NCEI (2016) Fisheries Closures: Deepwater Horizon Support. National Centers for Environmental Information. National Oceanic and Atmospheric Administration. Accessed Sept 2016
Paris CB, Hénaff ML, Aman ZM, Subramaniam A, Helgers J, Wang DP, Kourafalou VH, Srinivasan A (2012) Evolution of the Macondo well blowout: simulating the effects of the circulation and synthetic dispersants on the subsea oil transport. Environ Sci Technol 46(24):13293–13302
Paris CB, Helgers J, Van Sebille E, Srinivasan A (2013) Connectivity modeling system: a probabilistic modeling tool for the multi-scale tracking of biotic and abiotic variability in the ocean. Environ Model Softw 42:47–54
Passow U (2016) Formation of rapidly-sinking, oil-associated marine snow. Deep Sea Res Part 2 Top Stud Oceanogr 129:232–240
Perlin N, Paris CB, Berenshtein I, Vaz AC, Faillettaz R, Aman ZM, Schwing PT, Romero IC, Schlüter M, Liese A, Noirungsee N, Hackbusch S (2020) Far-field modeling of a deep-sea blowout: sensitivity studies of initial conditions, biodegradation, sedimentation and sub-surface dispersant injection on surface slicks and oil plume concentrations (Chap. 11). In: Murawski SA, Ainsworth C, Gilbert S, Hollander D, Paris CB, Schlüter M, Wetzel D (eds) Deep oil spills – facts, fate and effects. Springer, Cham
Pew Ocean Commission (2003) America’s living oceans: charting a course for sea change. A report to the nation. Pew Oceans Commission, Arlington, VA
Rice SD, Short JW, Karinen JF (1976) Comparative oil toxicity and comparative animal sensitivity. In: Wolfe DA (ed) Fate and effects of petroleum hydrocarbons in marine ecosystems and organisms. Pergamon Press, New York, pp 78–94
Romero IC, Schwing PT, Brooks GR, Larson RA, Hastings DW, Ellis G, Goddard EA, Hollander DJ (2015) Hydrocarbons in deep-sea sediments following the 2010 Deepwater Horizon blowout in the Northeast Gulf of Mexico. PLoS One 10(5):e0128371
Romero IC, Toro-Farmer G, Diercks AR, Schwing P, Muller-Karger F, Murawski S, Hollander DJ (2017) Large-scale deposition of weathered oil in the Gulf of Mexico following a deep-water oil spill. Environ Pollut 228:179–189
U.S. Commission on Ocean Policy (2004) An ocean blueprint for the 21st century. Final report to the President and Congress, Washington, DC
Valentine DL, Fisher GB, Bagby SC, Nelson RK, Reddy CM, Sylva SP, Woo MA (2014) Fallout plume of submerged oil from Deepwater Horizon. Proc Natl Acad Sci 111(45):15906–15911
Funding
This research was made possible by grants from the Gulf of Mexico Research Initiative through its consortia: the Center for the Integrated Modeling and Analysis of the Gulf Ecosystem (C-IMAGE) and the Deep Sea to Coast Connectivity in the Eastern Gulf of Mexico (Deep-C). Data are publicly available through the Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) at https://data.gulfresearchinitiative.org (doi: 10.7266/n7-dx3q-4y78).
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Dornberger, L.N., Ainsworth, C.H., Coleman, F., Wetzel, D.L. (2020). A Synthesis of Top-Down and Bottom-Up Impacts of the Deepwater Horizon Oil Spill Using Ecosystem Modeling. In: Murawski, S., et al. Deep Oil Spills. Springer, Cham. https://doi.org/10.1007/978-3-030-11605-7_31
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