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A northeast United States Atlantis marine ecosystem model with ocean reanalysis and ocean color forcing

Author

Listed:
  • Caracappa, Joseph C.
  • Beet, Andrew
  • Gaichas, Sarah
  • Gamble, Robert J.
  • Hyde, Kimberly J.W.
  • Large, Scott I.
  • Morse, Ryan E.
  • Stock, Charles A.
  • Saba, Vincent S.

Abstract

The northeast United States Atlantis model (NEUSv2) is an end-to-end ecosystem model that can simulate biogeochemical, ecological, fishery, management, and socio-economic processes within marine ecosystems. As a major update to the original model, NEUSv2 includes changes to the model's functional group definitions and forcing data. NEUSv2 is the first Atlantis model to use a satellite-ocean-color-derived phytoplankton size class model that was tuned specifically for the region to force marine primary production. Additionally, physical ocean variables (currents, temperature, and salinity) were updated using a high-resolution global ocean reanalysis. Despite its coarse resolution, NEUSv2 was capable of reproducing the broad spatial patterns seen in the physical and biological forcing sources, with the exception of some circulation features. NEUSv2 produced plausible zooplankton and planktivore biomass, a stable lower trophic food web, and recent trends in zooplankton biomass. NEUSv2 meets calibration criteria for the persistence and long-term stability of functional group biomass. Given the success of this new Atlantis forcing approach, we detail the observations and challenges regarding spatial scale-related processes, data assimilation, and biological calibration. We also discuss possible tradeoffs with model scope, calibration, and the availability of feedback mechanisms. This NEUSv2 hindcast is well suited for exploring ecosystem-level sensitivity to lower trophic processes and for testing alternative biogeochemical forcing. Further developments will improve model performance for higher trophic levels.

Suggested Citation

  • Caracappa, Joseph C. & Beet, Andrew & Gaichas, Sarah & Gamble, Robert J. & Hyde, Kimberly J.W. & Large, Scott I. & Morse, Ryan E. & Stock, Charles A. & Saba, Vincent S., 2022. "A northeast United States Atlantis marine ecosystem model with ocean reanalysis and ocean color forcing," Ecological Modelling, Elsevier, vol. 471(C).
  • Handle: RePEc:eee:ecomod:v:471:y:2022:i:c:s030438002200148x
    DOI: 10.1016/j.ecolmodel.2022.110038
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    References listed on IDEAS

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    1. Hyndman, Rob J. & Khandakar, Yeasmin, 2008. "Automatic Time Series Forecasting: The forecast Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
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    4. Bossier, Sieme & Nielsen, J. Rasmus & Almroth-Rosell, Elin & Höglund, Anders & Bastardie, Francois & Neuenfeldt, Stefan & Wåhlström, Iréne & Christensen, Asbjørn, 2021. "Integrated ecosystem impacts of climate change and eutrophication on main Baltic fishery resources," Ecological Modelling, Elsevier, vol. 453(C).
    5. Travers, M. & Shin, Y.-J. & Jennings, S. & Machu, E. & Huggett, J.A. & Field, J.G. & Cury, P.M., 2009. "Two-way coupling versus one-way forcing of plankton and fish models to predict ecosystem changes in the Benguela," Ecological Modelling, Elsevier, vol. 220(21), pages 3089-3099.
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    Cited by:

    1. Perryman, Holly A. & Kaplan, Isaac C. & Blanchard, Julia L. & Fay, Gavin & Gaichas, Sarah K. & McGregor, Vidette L. & Morzaria-Luna, Hem Nalini & Porobic, Javier & Townsend, Howard & Fulton, Elizabeth, 2023. "Atlantis Ecosystem Model Summit 2022: Report from a workshop," Ecological Modelling, Elsevier, vol. 483(C).

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