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Establishing nearshore marine secondary productivity baseline estimates for multiple habitats in coastal Mississippi and Alabama using AQUATOX 3.1 NME for use in the Deepwater Horizon natural resource damage assessment

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  • Blancher, Eldon C.
  • Park, Richard A.
  • Clough, Jonathan S.
  • Milroy, Scott P.
  • Graham, W. Monty
  • Rakocinski, Chet F.
  • Hendon, J. Read
  • Wiggert, Jerry D.
  • Leaf, Robert

Abstract

The establishment of a defensible baseline for ecosystem productivity is important in Natural Resource Damage Assessment (NRDA) and other assessment studies so that an estimate of the ecosystem injury can be established. In order to establish the overall NRDA baseline productivity for the Deepwater Horizon Oil release (DWH), the EPA fate and effects ecosystem model AQUATOX, Release 3.1, was adapted for the Nearshore Marine Environment (NME); this version represents key estuarine habitats, especially in Mississippi Sound and Mobile Bay. These include intertidal marsh-edge and beach habitats; and subtidal oyster-reef and soft-bottom benthic habitats, characterized by generalized food webs and subject to varying salinity and energy regimes and with and without submerged aquatic vegetation (SAV). Simulation results indicate highest primary production of 2960–8181gAFDW/m2/yr occurs in marsh-edge habitats where SAV’s were present. In general, highest secondary productivities were generally observed in oyster-reef habitats (719–1523g/m2/yr), followed by vegetated marsh edge (141–567g/m2/yr), subtidal soft-bottom habitats, including overlying water column (156–501g/m2/yr) and finally beach habitats (62–1164g/m2/yr). Individually, secondary productivity of each of the habitats is represented by a food web where each state variable represents a specific taxonomic or trophic group, and average trophic level is explicitly calculated by the model. Thus, secondary productivity estimates of these specific habitats can be viewed by an individual taxon or collectively by trophic-level groups or guilds such as forage fish or deposit-feeding invertebrates. The productivity, estimated by the model for each habitat, compared well with published estimates and with generally accepted ecological observations.

Suggested Citation

  • Blancher, Eldon C. & Park, Richard A. & Clough, Jonathan S. & Milroy, Scott P. & Graham, W. Monty & Rakocinski, Chet F. & Hendon, J. Read & Wiggert, Jerry D. & Leaf, Robert, 2017. "Establishing nearshore marine secondary productivity baseline estimates for multiple habitats in coastal Mississippi and Alabama using AQUATOX 3.1 NME for use in the Deepwater Horizon natural resource," Ecological Modelling, Elsevier, vol. 359(C), pages 49-68.
  • Handle: RePEc:eee:ecomod:v:359:y:2017:i:c:p:49-68
    DOI: 10.1016/j.ecolmodel.2017.05.004
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    References listed on IDEAS

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    1. Park, Richard A. & Clough, Jonathan S. & Wellman, Marjorie Coombs, 2008. "AQUATOX: Modeling environmental fate and ecological effects in aquatic ecosystems," Ecological Modelling, Elsevier, vol. 213(1), pages 1-15.
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    1. Clough, Jonathan S. & Blancher, Eldon C. & Park, Richard A. & Milroy, Scott P. & Graham, W. Monty & Rakocinski, Chet F. & Hendon, J. Read & Wiggert, Jerry D. & Leaf, Robert, 2017. "Establishing nearshore marine injuries for the Deepwater Horizon natural resource damage assessment using AQUATOX," Ecological Modelling, Elsevier, vol. 359(C), pages 258-268.

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