کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4376463 | 1617507 | 2012 | 20 صفحه PDF | دانلود رایگان |
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.
► We create a model that couples physics, biogeochemistry, and predatorprey dynamics.
► Consistent predation formulations across trophic levels support co-existance.
► Plankton non-predatory mortality formulation strongly influences seasonal dynamics.
► The model replicates seasonal and long-term observations in the subarctic Pacific.
Journal: Ecological Modelling - Volumes 237–238, 10 July 2012, Pages 43–62