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Contrasting futures for Australia’s fisheries stocks under IPCC RCP8.5 emissions – a multi-ecosystem model approach


Pethybridge, HR and Fulton, EA and Hobday, AJ and Blanchard, J and Bulman, CM and Butler, IR and Cheung, WWL and Dutra, LXC and Gorton, R and Hutton, T and Matear, R and Lozano-Montes, H and Plaganyi, EE and Villanueva, C and Zhang, X, Contrasting futures for Australia's fisheries stocks under IPCC RCP8.5 emissions - a multi-ecosystem model approach, Frontiers in Marine Science, 7, (OCT) Article 577964. ISSN 2296-7745 (2020) [Refereed Article]


Copyright Statement

Copyright 2020 Pethybridge, Fulton, Hobday, Blanchard, Bulman, Cheung, Dutra, Gorton, Hutton, Matear, Lozano-Montes, Plagányi, Villanueva, Zhang and Butler. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)

DOI: doi:10.3389/fmars.2020.577964


Climate-driven trends in ocean temperature and primary productivity are projected to differ greatly across the globe, triggering variable levels of concern for marine biota and ecosystems. Quantifying these changes, and the complex ways in which resource-dependent communities will need to respond, is inherently difficult. Existing uncertainty about the structure, function and responses of marine ecosystems, means that a multi-model or ensemble model approach is the most prudent means of assessing the potential ecosystem responses to climate change. In this study, climate-ecological projections of 13 marine ecosystem models for regions around Australia were evaluated. Model types included dynamic food web, spatial whole of ecosystem, intermediate complexity, species distribution, and size spectrum models and were all forced by high-resolution ocean model data. Each Australian region and fishery will face its own challenges in terms of ecosystem shifts and fisheries management responses over the next 30 years. Across regions, demersal systems appear to be more strongly affected by climate change than pelagic systems, with invertebrate species in shallow waters likely to respond first and to a larger degree. With the assistance of qualitative confidence evaluations, the multi-model approach was useful for identifying the likely state of concern for each functional group and thus adaptive management and research priorities. Largest model discrepancies were found between the regional ecosystem models that represent trophic interactions and the species distribution models, with implications for future assessments and adaption planning. Study results highlight that fisheries and their management will need to foster pro-active and flexible adaptation options to make the most of coming opportunities and to minimize risks or negative outcomes.

Item Details

Item Type:Refereed Article
Keywords:forecasting, climate change, model uncertainty, fisheries management, adaptive management, ensemble modeling
Research Division:Environmental Sciences
Research Group:Climate change impacts and adaptation
Research Field:Ecological impacts of climate change and ecological adaptation
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - wild caught
Objective Field:Fisheries - wild caught not elsewhere classified
UTAS Author:Fulton, EA (Dr Elizabeth Fulton)
UTAS Author:Hobday, AJ (Dr Alistair Hobday)
UTAS Author:Blanchard, J (Professor Julia Blanchard)
UTAS Author:Plaganyi, EE (Dr Eva Plaganyi-Lloyd)
UTAS Author:Villanueva, C (Dr Cecilia Villanueva)
ID Code:141674
Year Published:2020
Web of Science® Times Cited:14
Deposited By:Fisheries and Aquaculture
Deposited On:2020-11-09
Last Modified:2021-03-30
Downloads:17 View Download Statistics

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