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A protocol for the intercomparison of marine fishery and ecosystem models: fish-MIP v1.0


Tittensor, DP and Eddy, TD and Lotze, HK and Galbraith, ED and Cheung, W and Barange, M and Blanchard, JL and Bopp, L and Bryndum-Buchholz, A and Buchner, M and Bulman, C and Carozza, DA and Christensen, V and Coll, M and Dunne, JP and Fernandes, JA and Fulton, EA and Hobday, AJ and Huber, V and Jennings, S and Jones, M and Lehodey, P and Link, JS and Mackinson, S and Maury, O and Niiranen, S and Oliveros-Ramos, R and Roy, T and Schewe, J and Shin, Y-J and Stock, CA and Underwood, PJ and Volkholz, J and Watson, JR and Walker, ND, A protocol for the intercomparison of marine fishery and ecosystem models: fish-MIP v1.0, Geoscientific Model Development, 11, (4) pp. 1421-1422. ISSN 1991-959X (2018) [Refereed Article]

Copyright Statement

2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.5194/gmd-2017-209


Model intercomparison studies in the climate and earth sciences communities have been crucial to build credibility and coherence for future projections. They have quantified variability among models, spurred model development, contrasted within- and among-model uncertainty, assessed model fits to historical data, and provided ensemble projections of future change under specified scenarios. Given the speed and magnitude of anthropogenic change in the marine environment, and consequent effects on food security, biodiversity, marine industries and society, the time is ripe for similar comparisons among models of fisheries and marine ecosystems. Here, we describe the Fisheries and Marine Ecosystem Model Intercomparison Project protocol version 1.0 (Fish-MIP v1.0), part of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP), a cross-sectoral network of climate impact modellers. Given the complexity of the marine ecosystem, this class of models has substantial heterogeneity of purpose, scope, theoretical underpinning, processes considered, parameterizations, resolution (grain size) and spatial extent. This heterogeneity reflects the lack of a unified understanding of the marine ecosystem, and implies that the assemblage of all models is more likely to include a greater number of relevant processes than is any single model. The current Fish-MIP protocol is designed to allow these heterogeneous models to be forced with common Earth System Model (ESM) CMIP5 outputs under prescribed scenarios for historic (from 1950s) and future (to 2100) time periods; it will be adapted to CMIP6 in future iterations. It also describes a standardized set of outputs for each participating Fish-MIP model to produce. This enables the broad characterization of differences between, and uncertainties within, models and projections when assessing climate and fisheries impacts on marine ecosystems and the services they provide. The systematic generation, collation and comparison of results from Fish-MIP will inform understanding of the range of plausible changes in marine ecosystems, and improve our capacity to define and convey strengths and weaknesses of model-based advice on future states of marine ecosystems and fisheries. Ultimately, Fish-MIP represents a step towards bringing together the marine ecosystem modelling community to produce consistent ensemble medium- and long-term projections of marine ecosystems.

Item Details

Item Type:Refereed Article
Keywords:fisheries, ecosystem modelling, climate
Research Division:Information and Computing Sciences
Research Group:Theory of computation
Research Field:Numerical computation and mathematical software
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - wild caught
Objective Field:Fisheries - wild caught not elsewhere classified
UTAS Author:Blanchard, JL (Professor Julia Blanchard)
UTAS Author:Fulton, EA (Dr Elizabeth Fulton)
UTAS Author:Hobday, AJ (Dr Alistair Hobday)
ID Code:123743
Year Published:2018
Web of Science® Times Cited:83
Deposited By:Fisheries and Aquaculture
Deposited On:2018-01-23
Last Modified:2018-11-27
Downloads:8 View Download Statistics

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