one publication added to basket [129497] | Models of the world's Large Marine Ecosystems
Christensen, V.; Walters, C.J.; Ahrens, R.N.M.; Alder, J.; Buszowski, J.; Christensen, L.B.; Cheung, W.W.L.; Dunne, J.J.; Froese, R.; Karpouzi, V.S.; Kastner, K.; Kearney, K.; Lai, S.; Lam, V.W.Y.; Palomares, M.L.; Peters-Mason, A.; Piroddi, C.; Sarmiento, J.L.; Steenbeek, J.; Sumaila, U.R.; Watson, R.; Zeller, D.; Pauly, D. (Ed.) (2008). Models of the world's Large Marine Ecosystems. Technical Series. Intergovernmental Oceanographic Commission = Série technique, 80. UNESCO: Paris. iv, 36 + appendices pp. Part of: IOC Technical Series. Intergovernmental Oceanographic Commission = Série technique. UNESCO: Paris. ISSN 0074-1175, more | |
Authors | | Top | - Christensen, V., editor
- Walters, C.J., editor
- Ahrens, R.N.M., editor
- Alder, J., editor
- Buszowski, J., editor
- Christensen, L.B., editor
- Cheung, W.W.L., editor
- Dunne, J.J., editor
| - Froese, R., editor, more
- Karpouzi, V.S., editor
- Kastner, K., editor
- Kearney, K., editor
- Lai, S., editor
- Lam, V.W.Y., editor
- Palomares, M.L., editor
- Peters-Mason, A., editor
| - Piroddi, C., editor
- Sarmiento, J.L., editor
- Steenbeek, J., editor
- Sumaila, U.R., editor
- Watson, R., editor
- Zeller, D., editor
- Pauly, D., editor, more
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Abstract | 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 database developed as part of the Sea Around Us project. The models are formulated using the Ecopath with Ecosim modeling approach and software, and are made available to GEF/LME projects for further development. 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. The biggest hurdles at present to further model development and validation are insufficient time series trend information, and data on spatial fishing effort. We will be further developing the models, as this is one of the major activities of the Sea Around Us project, and encourage GEF/LME projects to participate in the process, notably by enriching the models through addition of more local and regional data. We here use the models to summarize information about fisheries catch and value in the LMEs. |
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