Calibrating ecosystem models to support ecosystem-based management of marine systems
Bentley, J.W.; Chagaris, D.; Coll, M.; Heymans, J.J.; Serpetti, N.; Walters, C.J.; Christensen, V. (2024). Calibrating ecosystem models to support ecosystem-based management of marine systems. ICES J. Mar. Sci./J. Cons. int. Explor. Mer 81(2): 260-275. https://dx.doi.org/10.1093/icesjms/fsad213 In: ICES Journal of Marine Science. Academic Press: London. ISSN 1054-3139; e-ISSN 1095-9289, more |   |
| Keyword | | | Author keywords | ecopath with ecosim; ecosystem modeling; temporal dynamics; calibration; fisheries; indicators |
| Authors | | Top | - Bentley, J.W.
- Chagaris, D.
- Coll, M.
- Heymans, J.J., more
| - Serpetti, N.
- Walters, C.J.
- Christensen, V.
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| Abstract | Ecosystem models, such as Ecopath with Ecosim (EwE), provide a platform to simulate intricate policy scenarios where multiple species, pressures, and ecosystem services interact. Complex questions often return complex answers, necessitating evidence and advice to be communicated in terms of trade-offs, risks, and uncertainty. Calibration procedures for EwE, which can act as a source of uncertainty and bias in model results, have yet to be explored in a comprehensive way that communicates how sensitive model outputs are to different calibration approaches. As the EwE community has grown, multiple divergent approaches have been applied to calibrate models through the estimation of vulnerability multipliers: parameters that augment the consumption rate limits of predators. Here we explore the underlying principles of vulnerability multipliers as well as existing calibration approaches and their justification. Two case studies are presented: the first explores how vulnerability multipliers emerge based on the chosen calibration approach using simulated data, while the second takes two operational EwE models (Irish Sea and Northwest Atlantic Continental Shelf) and compares their outputs when calibrated following alternate calibration approaches. We show how calibration approaches can impact model-derived advice and provide a list of best practice recommendations for EwE calibration. |
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