TY - JOUR
T1 - Coupling planktonic ecosystem and fisheries food web models for a pelagic ecosystem
T2 - Description and validation for the subarctic Pacific
AU - Kearney, Kelly A.
AU - Stock, Charles
AU - Aydin, Kerim
AU - Sarmiento, Jorge Louis
N1 - Funding Information:
Primary funding for Kelly Kearney provided through NOAA's Nancy Foster Scholarship . This work was supported in part by BP and Ford Motor Company through the Carbon Mitigation Initiative at Princeton University . This report was prepared by Kelly Kearney under award NA17RJ2612 and NA08OAR4320752 from the National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations are those of the authors and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration, or the U.S. Department of Commerce. This work is partially supported through the Nippon Foundation Nereus Project. State estimates derived from the GECCO model were provided by the ECCO Consortium for Estimating the Circulation and Climate of the Ocean funded by the National Oceanographic Partnership Program (NOPP). We thank Eileen Kearney for creating the artwork used in the food web diagram. Finally, we thank two anonymous referees for their helpful comments in preparing the final version of this manuscript.
PY - 2012/7/10
Y1 - 2012/7/10
N2 - 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.
AB - 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.
KW - Ecopath with Ecosim
KW - Ecosystem model
KW - End-to-end model
KW - Food web
KW - NEMURO
KW - North Pacific Ocean
UR - http://www.scopus.com/inward/record.url?scp=84860595332&partnerID=8YFLogxK
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U2 - 10.1016/j.ecolmodel.2012.04.006
DO - 10.1016/j.ecolmodel.2012.04.006
M3 - Article
AN - SCOPUS:84860595332
SN - 0304-3800
VL - 237-238
SP - 43
EP - 62
JO - Ecological Modelling
JF - Ecological Modelling
ER -