Articles | Volume 5-opsr
https://doi.org/10.5194/sp-5-opsr-13-2025
https://doi.org/10.5194/sp-5-opsr-13-2025
02 Jun 2025
 | OPSR | Chapter 5.4
 | 02 Jun 2025 | OPSR | Chapter 5.4

Numerical models for monitoring and forecasting ocean ecosystems: a short description of the present status

Simone Libralato

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Cited articles

Agnetta, D., Badalamenti, F., Colloca, F., Cossarini, G., Fiorentino, F., Garofalo, G., Patti, B., Pipitone, C., Russo, T., Solidoro, C., and Libralato, S.: Interactive effects of fishing effort reduction and climate change in a central Mediterranean fishing area: Insights from bio-economic indices derived from a dynamic food-web model, Front. Mar. Sci., 8, 909164, https://doi.org/10.3389/fmars.2022.909164, 2022. 
Anderson, S. C., Monnahan, C. C., Johnson, K. F., Ono, K., and Valero, J. L.: ss3sim: an R package for fisheries stock assessment simulation with Stock Synthesis, PLoS One, 9, e92725, https://doi.org/10.1371/journal.pone.0092725, 2014. 
Andonegi, E., Fernandes, J. A., Quincoces, I., Irigoien, X., Uriarte, A., Pérez, A., Howell, D., and Stefánsson, G.: The potential use of a Gadget model to predict stock responses to climate change in combination with Bayesian networks: the case of Bay of Biscay anchovy, ICES J. Marine Science, 68, 1257–1269, https://doi.org/10.1093/icesjms/fsr087, 2011. 
Blanchard, J. L., Jennings, S., Law, R., Castle, M. D., McCloghrie, P., Rochet, M. J., and Benoît, E.: How does abundance scale with body size in coupled size-structured food webs?, J. Anim. Ecol., 78, 270–280, https://doi.org/10.1111/j.1365-2656.2008.01466.x, 2009. 
Bocci, M., Coffaro, G., and Bendoricchio, G.: Modelling biomass and nutrient dynamics in eelgrass (Zostera marina L.): applications to the Lagoon of Venice (Italy) and Øresund (Denmark), Ecol. Model., 102, 67–80, https://doi.org/10.1016/S0304-3800(97)00095-1, 1997. 
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Short summary
This work examines the current classification of numerical models of increasing complexity – from individuals and population and stock assessment models to models representing the whole ecosystem by covering all trophic levels – and presents examples and their operational maturity, finally demonstrating their use for supporting marine resource management, conservation, planning, and mitigation actions.
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