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Influence of grazing formulations on the emergent properties of a complex ecosystem model in a global ocean general circulation model

Influence of grazing formulations on the emergent properties of a complex ecosystem model in a global ocean general circulation model
Influence of grazing formulations on the emergent properties of a complex ecosystem model in a global ocean general circulation model
Sensitivity to nonlinear equations may be a characteristic feature of biological models, particularly those that are complex. A complex marine ecosystem model (PlankTOM5.2) that incorporates multiple plankton functional types (PFTs) was embedded in a global ocean general circulation model (OGCM) and its performance assessed for four different formulations of multiple-prey zooplankton functional response: Michaelis–Menten (MM: Holling Type II), Sigmoidal (S: Holling Type III), Blackman (B) and Ivlev (Iv). Predictions of the four simulations were compared for the North Atlantic and North Pacific oceans. Remarkable differences were seen in both spatial extent and magnitude of predicted distributions of PFTs, as well as bulk properties, highlighting how the choice of functional response has a major impact on the resulting ecosystem structure. The range of average concentration of diatoms in surface waters was particularly marked, varying between 0.04 mg m?3 (B and MM) and 0.13 mg m?3 (S) in spring and between 0.01 mg m?3 (B) and 0.07 mg m?3 (S) in autumn. Differences in ecosystem structure affected predicted export flux, which varied by more than 25% among the simulations. Overall, our work highlights that accuracy is required in ecosystem formulation if reliable predictions are to be made when using complex marine ecosystem models embedded in OGCMs and therefore the need for further studies, with appropriate validation, that address structural sensitivity.
0079-6611
201-213
Anderson, Thomas R.
dfed062f-e747-48d3-b59e-2f5e57a8571d
Gentleman, Wendy C.
ce48ad4e-d8d0-4594-8007-1cf684aedd16
Sinha, Bablu
544b5a07-3d74-464b-9470-a68c69bd722e
Anderson, Thomas R.
dfed062f-e747-48d3-b59e-2f5e57a8571d
Gentleman, Wendy C.
ce48ad4e-d8d0-4594-8007-1cf684aedd16
Sinha, Bablu
544b5a07-3d74-464b-9470-a68c69bd722e

Anderson, Thomas R., Gentleman, Wendy C. and Sinha, Bablu (2010) Influence of grazing formulations on the emergent properties of a complex ecosystem model in a global ocean general circulation model. Progress in Oceanography, 87 (1-4), 201-213. (doi:10.1016/j.pocean.2010.06.003).

Record type: Article

Abstract

Sensitivity to nonlinear equations may be a characteristic feature of biological models, particularly those that are complex. A complex marine ecosystem model (PlankTOM5.2) that incorporates multiple plankton functional types (PFTs) was embedded in a global ocean general circulation model (OGCM) and its performance assessed for four different formulations of multiple-prey zooplankton functional response: Michaelis–Menten (MM: Holling Type II), Sigmoidal (S: Holling Type III), Blackman (B) and Ivlev (Iv). Predictions of the four simulations were compared for the North Atlantic and North Pacific oceans. Remarkable differences were seen in both spatial extent and magnitude of predicted distributions of PFTs, as well as bulk properties, highlighting how the choice of functional response has a major impact on the resulting ecosystem structure. The range of average concentration of diatoms in surface waters was particularly marked, varying between 0.04 mg m?3 (B and MM) and 0.13 mg m?3 (S) in spring and between 0.01 mg m?3 (B) and 0.07 mg m?3 (S) in autumn. Differences in ecosystem structure affected predicted export flux, which varied by more than 25% among the simulations. Overall, our work highlights that accuracy is required in ecosystem formulation if reliable predictions are to be made when using complex marine ecosystem models embedded in OGCMs and therefore the need for further studies, with appropriate validation, that address structural sensitivity.

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More information

Published date: October 2010
Organisations: Marine Systems Modelling, National Oceanography Centre,Southampton

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Local EPrints ID: 169779
URI: http://eprints.soton.ac.uk/id/eprint/169779
ISSN: 0079-6611
PURE UUID: 48d9f0f4-b3ec-40f9-81fb-f531eac270bb

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Date deposited: 22 Dec 2010 11:21
Last modified: 14 Mar 2024 02:22

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Contributors

Author: Thomas R. Anderson
Author: Wendy C. Gentleman
Author: Bablu Sinha

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