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Database-driven models of the world's Large Marine Ecosystems


Christensen, V and Walters, CJ and Ahrens, R and Alder, J and Buszowski, J and Christensen, LB and Cheung, WWL and Dunne, J and Froese, R and Karpouzi, V and Kaschner, K and Kearney, K and Lai, S and Lam, V and Palomares, MLD and Peters-Mason, A and Piroddi, C and Sarmiento, JL and Steenbeek, J and Sumaila, R and Watson, RA and Zeller, D and Pauly, D, Database-driven models of the world's Large Marine Ecosystems, Ecological Modelling, 220, (17) pp. 1984-1996. ISSN 0304-3800 (2009) [Refereed Article]

DOI: doi:10.1016/j.ecolmodel.2009.04.041


We present a new methodology for database-driven ecosystem model generation and apply the methodology to the world's 66 currently defined Large Marine Ecosystems. The method relies on a large number of spatial and temporal databases, including FishBase, SeaLifeBase, as well as several other databases developed notably as part of the Sea Around Us project. The models are formulated using the freely available Ecopath with Ecosim (EwE) modeling approach and software. We tune the models by fitting to available time series data, but recognize that the models represent only a first-generation of database-driven ecosystem models. We use the models to obtain a first estimate of fish biomass in the world's LMEs. The biggest hurdles at present to further model development and validation are insufficient time series trend information, and data on spatial fishing effort. © 2009 Elsevier B.V. All rights reserved.

Item Details

Item Type:Refereed Article
Keywords:Ecopath with Ecosim; Ecosystem model; Global modeling; LME; Ecopath with Ecosim; Ecosystem model; Fishing effort; Global modeling; Large marine ecosystem; LME; Model development; Modeling approach; Temporal Database; Time-series data; Biomass
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Fisheries sciences
Research Field:Aquaculture and fisheries stock assessment
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - wild caught
Objective Field:Wild caught fin fish (excl. tuna)
UTAS Author:Watson, RA (Professor Reginald Watson)
ID Code:83746
Year Published:2009
Web of Science® Times Cited:62
Deposited By:Sustainable Marine Research Collaboration
Deposited On:2013-03-21
Last Modified:2013-03-21

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