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Coupling planktonic ecosystem and fisheries food web models for a pelagic ecosystem: Description and validation for the subarctic Pacific

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  • Kearney, Kelly A.
  • Stock, Charles
  • Aydin, Kerim
  • Sarmiento, Jorge L.

Abstract

We provide a modeling framework that fully couples a one-dimensional physical mixed layer model, a biogeochemical model, and an upper trophic level fisheries model. For validation purposes, the model has been parameterized for the pelagic Eastern Pacific Subarctic Gyre ecosystem. This paper presents a thorough description of the model itself, as well as an ensemble-based parameterization process that allows the model to incorporate the high level of uncertainty associated with many upper trophic level predator-prey processes. Through a series of model architecture experiments, we demonstrate that the use of a consistent functional response for all predator-prey interactions, as well as the use of density-dependent mortality rates for planktonic functional groups, are important factors in reproducing annual and seasonal observations. We present the results of a 50-year climatological simulation, which demonstrates that under contemporary physical forcing, the model is capable of reproducing long-term seasonal dynamics in primary production and biogeochemical cycling, while maintaining steady-state coexistence of upper trophic level functional groups at levels consistent with observations.

Suggested Citation

  • Kearney, Kelly A. & Stock, Charles & Aydin, Kerim & Sarmiento, Jorge L., 2012. "Coupling planktonic ecosystem and fisheries food web models for a pelagic ecosystem: Description and validation for the subarctic Pacific," Ecological Modelling, Elsevier, vol. 237, pages 43-62.
  • Handle: RePEc:eee:ecomod:v:237-238:y:2012:i::p:43-62
    DOI: 10.1016/j.ecolmodel.2012.04.006
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    2. Megrey, Bernard A. & Rose, Kenneth A. & Klumb, Robert A. & Hay, Douglas E. & Werner, Francisco E. & Eslinger, David L. & Smith, S. Lan, 2007. "A bioenergetics-based population dynamics model of Pacific herring (Clupea harengus pallasi) coupled to a lower trophic level nutrient–phytoplankton–zooplankton model: Description, calibration, and se," Ecological Modelling, Elsevier, vol. 202(1), pages 144-164.
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    1. 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).
    2. Steenbeek, Jeroen & Buszowski, Joe & Christensen, Villy & Akoglu, Ekin & Aydin, Kerim & Ellis, Nick & Felinto, Dalai & Guitton, Jerome & Lucey, Sean & Kearney, Kelly & Mackinson, Steven & Pan, Mike & , 2016. "Ecopath with Ecosim as a model-building toolbox: Source code capabilities, extensions, and variations," Ecological Modelling, Elsevier, vol. 319(C), pages 178-189.
    3. David A Carozza & Daniele Bianchi & Eric D Galbraith, 2017. "Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-28, January.
    4. Guesnet, Vanessa & Lassalle, Géraldine & Chaalali, Aurélie & Kearney, Kelly & Saint-Béat, Blanche & Karimi, Battle & Grami, Boutheina & Tecchio, Samuele & Niquil, Nathalie & Lobry, Jérémy, 2015. "Incorporating food-web parameter uncertainty into Ecopath-derived ecological network indicators," Ecological Modelling, Elsevier, vol. 313(C), pages 29-40.

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