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| Olsen, Erik; Kaplan, Isaac C.; Ainsworth, Cameron; Fay, Gavin; Gaichas, Sarah; Gamble, Robert; Girardin, Raphael; Eide, Cecilie H.; Ihde, Thomas F.; Morzaria-luna, Hem Nalini; Johnson, Kelli F.; Savina-rolland, Marie; Townsend, Howard; Weijerman, Mariska; Fulton, Elizabeth A.; Link, Jason S.. |
| Ecosystem-based management (EBM) of the ocean considers all impacts on and uses of marine and coastal systems. In recent years, there has been a heightened interest in EBM tools that allow testing of alternative management options and help identify tradeoffs among human uses. End-to-end ecosystem modeling frameworks that consider a wide range of management options are a means to provide integrated solutions to the complex ocean management problems encountered in EBM. Here, we leverage the global advances in ecosystem modeling to explore common opportunities and challenges for ecosystem-based management, including changes in ocean acidification, spatial management, and fishing pressure across eight Atlantis (atlantis.cmar.csiro.au) end-to-end ecosystem... |
| Tipo: Text |
Palavras-chave: Ecosystem-based management; Fisheries management; Ocean acidification; Marine protected areas; Atlantis ecosystem model. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00428/53948/55094.pdf |
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| Pethybridge, Heidi; Weijerman, Mariska; Perrymann, Holly; Audzijonyte, Asta; Porobic, Javier; Mcgregor, Vidette; Girardin, Raphael; Bulman, Cathy; Ortega-cisneros, Kelly; Sinerchia, Matteo; Hutton, Trevor; Lozano-montes, Hector; Mori, Mao; Novaglio, Camilla; Fay, Gavin; Gorton, Rebecca; Fulton, Elizabeth. |
| Calibration of complex, process-based ecosystem models is a timely task with modellers challenged by many parameters, multiple outputs of interest and often a scarcity of empirical data. Incorrect calibration can lead to unrealistic ecological and socio-economic predictions with the modeller’s experience and available knowledge of the modelled system largely determining the success of model calibration. Here we provide an overview of best practices when calibrating an Atlantis marine ecosystem model, a widely adopted framework that includes the parameters and processes comprised in many different ecosystem models. We highlight the importance of understanding the model structure and data sources of the modelled system. We then focus on several model outputs... |
| Tipo: Text |
Palavras-chave: Best practices; Model diagnostics; Food web; Pedigree; Parameter estimation. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00516/62723/67160.pdf |
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