Advertisement

A Synthesis of Top-Down and Bottom-Up Impacts of the Deepwater Horizon Oil Spill Using Ecosystem Modeling

  • Lindsey N. Dornberger
  • Cameron H. Ainsworth
  • Felicia Coleman
  • Dana L. Wetzel
Chapter

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).

Keywords

Atlantis Ecosystem modeling Oil toxicity Cumulative effects Fishing mortality 

Notes

Funding Information

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).

References

  1. 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 149Google Scholar
  2. 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):e0190840CrossRefGoogle Scholar
  3. 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):11906–11907CrossRefGoogle Scholar
  4. Barron MG (2012) Ecological impacts of the Deepwater Horizon oil spill: implications for immunotoxicity. Toxicol Pathol 40(2):315–320CrossRefGoogle Scholar
  5. 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):e0132341CrossRefGoogle Scholar
  6. 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, FLGoogle Scholar
  7. 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):300123CrossRefGoogle Scholar
  8. Crain CM, Kroeker K, Halpern BS (2008) Interactive and cumulative effects of multiple human stressors in marine systems. Ecol Lett 11(12):1304–1315CrossRefGoogle Scholar
  9. 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):39–62CrossRefGoogle Scholar
  10. Curtin R, Prellezo R (2010) Understanding marine ecosystem-based management: a literature review. Mar Policy 34(5):821–830CrossRefGoogle Scholar
  11. 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 13:18–33CrossRefGoogle Scholar
  12. 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 2018Google Scholar
  13. 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 ppGoogle Scholar
  14. 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):259–266CrossRefGoogle Scholar
  15. 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 427Google Scholar
  16. Fulton EA, Smith A, Johnson C (2004a) Effects of spatial resolution on the performance and interpretation of marine ecosystem models. Ecol Model 176:27–42CrossRefGoogle Scholar
  17. 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 1546Google Scholar
  18. Fulton EA, Smith A, Punt A (2005) Which ecological indicators can robustly detect effects of fishing? ICES J Mar Sci 62:540–551CrossRefGoogle Scholar
  19. 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, AustraliaGoogle Scholar
  20. Gray RH (1990) Fish behavior and environmental assessment. Environ Toxicol Chem 9(1):53–67CrossRefGoogle Scholar
  21. 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):297–315CrossRefGoogle Scholar
  22. 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 218Google Scholar
  23. 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):20212–20221CrossRefGoogle Scholar
  24. Martin PJ (2000) Description of the Navy Coastal Ocean Model Version 1.0, 749 NRL/FR/ 7322-00-9962. Naval Research Laboratory, p 42Google Scholar
  25. Martin CW (2017) Avoidance of oil contaminated sediments by estuarine fishes. Mar Ecol Prog Ser 576:125–134CrossRefGoogle Scholar
  26. 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, LAGoogle Scholar
  27. 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):342–351CrossRefGoogle Scholar
  28. NCEI (2016) Fisheries Closures: Deepwater Horizon Support. National Centers for Environmental Information. National Oceanic and Atmospheric Administration. Accessed Sept 2016Google Scholar
  29. 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):13293–13302CrossRefGoogle Scholar
  30. 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 42:47–54CrossRefGoogle Scholar
  31. Passow U (2016) Formation of rapidly-sinking, oil-associated marine snow. Deep Sea Res Part 2 Top Stud Oceanogr 129:232–240CrossRefGoogle Scholar
  32. 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, ChamGoogle Scholar
  33. Pew Ocean Commission (2003) America’s living oceans: charting a course for sea change. A report to the nation. Pew Oceans Commission, Arlington, VAGoogle Scholar
  34. 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 78–94Google Scholar
  35. 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):e0128371CrossRefGoogle Scholar
  36. 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 228:179–189CrossRefGoogle Scholar
  37. U.S. Commission on Ocean Policy (2004) An ocean blueprint for the 21st century. Final report to the President and Congress, Washington, DCGoogle Scholar
  38. 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):15906–15911CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Lindsey N. Dornberger
    • 1
  • Cameron H. Ainsworth
    • 1
  • Felicia Coleman
    • 2
  • Dana L. Wetzel
    • 3
  1. 1.University of South Florida, College of Marine ScienceSt. PetersburgUSA
  2. 2.Florida State University, Coastal and Marine LaboratorySt. TeresaUSA
  3. 3.Mote Marine LaboratorySarasotaUSA

Personalised recommendations