A general framework for combining ecosystem models
Spence, Michael A. and Blanchard, Julia L. and Rossberg, Axel G. and Heath, Michael R. and Heymans, Johanna J. and Mackinson, Steven and Serpetti, Natalia and Speirs, Douglas C. and Thorpe, Robert B. and Blackwell, Paul G. (2018) A general framework for combining ecosystem models. Fish and Fisheries, 19. 1031–1042. ISSN 1467-2979 (https://doi.org/10.1111/faf.12310)
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Abstract
When making predictions about ecosystems, we often have available a number of different ecosystem models that attempt to represent their dynamics in a detailed mechanistic way. Each of these can be used as a simulator of large-scale experiments and make projections about the fate of ecosystems under different scenarios in order to support the development of appropriate management strategies. However, structural differences, systematic discrepancies and uncertainties lead to different models giving different predictions. This is further complicated by the fact that the models may not be run with the same functional groups, spatial structure or time scale. Rather than simply trying to select a 'best' model, or taking some weighted average, it is important to exploit the strengths of each of the models, while learning from the differences between them. To achieve this, we construct a flexible statistical model of the relationships between a collection of mechanistic models and their biases, allowing for structural and parameter uncertainty and for different ways of representing reality. Using this statistical meta-model, we can combine prior beliefs, model estimates and direct observations using Bayesian methods, and make coherent predictions of future outcomes under different scenarios with robust measures of uncertainty. In this paper we take a diverse ensemble of existing North Sea ecosystem models and demonstrate the utility of our framework by applying it to answer the question what would have happened to demersal fish if fishing was to stop.
ORCID iDs
Spence, Michael A., Blanchard, Julia L., Rossberg, Axel G., Heath, Michael R. ORCID: https://orcid.org/0000-0001-6602-3107, Heymans, Johanna J., Mackinson, Steven, Serpetti, Natalia, Speirs, Douglas C. ORCID: https://orcid.org/0000-0002-4367-1459, Thorpe, Robert B. and Blackwell, Paul G.;-
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Item type: Article ID code: 64587 Dates: DateEvent24 October 2018Published15 August 2018Published Online24 June 2018Accepted10 November 2017SubmittedSubjects: Science > Mathematics > Probabilities. Mathematical statistics Department: Strategic Research Themes > Society and Policy
Faculty of Science > Mathematics and StatisticsDepositing user: Pure Administrator Date deposited: 25 Jun 2018 13:24 Last modified: 11 Nov 2024 11:50 URI: https://strathprints.strath.ac.uk/id/eprint/64587