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

Kelly A. Kearney, Charles Stock, Kerim Aydin, Jorge Louis Sarmiento

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)43-62
Number of pages20
JournalEcological Modelling
Volume237-238
DOIs
StatePublished - Jul 10 2012

All Science Journal Classification (ASJC) codes

  • Ecological Modeling

Keywords

  • Ecopath with Ecosim
  • Ecosystem model
  • End-to-end model
  • Food web
  • NEMURO
  • North Pacific Ocean

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