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

journal contribution
posted on 2023-05-17, 16:53 authored by Christensen, V, Walters, CJ, Ahrens, R, Alder, J, Buszowski, J, Christensen, LB, Cheung, WWL, Dunne, J, Froese, R, Karpouzi, V, Kaschner, K, Kearney, K, Lai, S, Lam, V, Palomares, MLD, Peters-Mason, A, Piroddi, C, Sarmiento, JL, Steenbeek, J, Sumaila, R, Reginald WatsonReginald Watson, Zeller, D, Pauly, D
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.

History

Publication title

Ecological Modelling

Volume

220

Issue

17

Pagination

1984-1996

ISSN

0304-3800

Department/School

Institute for Marine and Antarctic Studies

Publisher

Elsevier BV

Place of publication

Netherlands

Repository Status

  • Restricted

Socio-economic Objectives

Wild caught fin fish (excl. tuna)