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 language | English (US) |
|---|---|
| Pages (from-to) | 43-62 |
| Number of pages | 20 |
| Journal | Ecological Modelling |
| Volume | 237-238 |
| DOIs | |
| State | Published - 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