Integrated modelling to support decision-making for marine social–ecological systems in Australia

Author:

Melbourne-Thomas Jessica12,Constable Andrew J12,Fulton Elizabeth A34,Corney Stuart P2,Trebilco Rowan2,Hobday Alistair J34,Blanchard Julia L45,Boschetti Fabio67,Bustamante Rodrigo H8,Cropp Roger9,Everett Jason D1011,Fleming Aysha412,Galton-Fenzi Ben12,Goldsworthy Simon D13,Lenton Andrew3,Lara-Lopez Ana14,Little Rich34,Marzloff Martin P515,Matear Richard3,Mongin Mathieu3,Plagányi Eva48,Proctor Roger14,Risbey James S3,Robson Barbara J1216,Smith David C34,Sumner Michael D12,van Putten E Ingrid34

Affiliation:

1. Australian Antarctic Division, Department of the Environment and Energy, Kingston, TAS 7001, Australia

2. Antarctic Climate and Ecosystems Cooperative Research Centre, University of Tasmania, Hobart, TAS 7001, Australia

3. CSIRO Oceans & Atmosphere, Hobart, TAS 7001, Australia

4. Centre for Marine Socioecology, University of Tasmania, Hobart, TAS 7001, Australia

5. Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS 7001, Australia

6. CSIRO Oceans & Atmosphere, Perth, WA 6001, Australia

7. School of Earth and Geographical Sciences at the University of Western Australia, Crawley, WA 6009, Australia

8. CSIRO Oceans & Atmosphere, Brisbane, QLD 4001, Australia

9. Griffith School of Environment, Griffith University, Nathan, QLD 4111, Australia

10. Evolution and Ecology Research Centre, University of New South Wales, Sydney, NSW 2052, Australia

11. Sydney Institute of Marine Science, Sydney, NSW 2088, Australia

12. CSIRO Land & Water, Hobart, TAS 7001, Australia

13. South Australian Research and Development Institute, Aquatic Sciences, West Beach, SA 5024, Australia

14. Integrated Marine Observing System, University of Tasmania, Hobart, TAS 7001, Australia

15. IFREMER Centre de Bretagne, DYNECO Benthic Ecology Laboratory (LEBCO), CS 10070, 29280 Plouzané, France

16. CSIRO Land & Water, Black Mountain, ACT 2365, Australia

Abstract

Abstract Policy- and decision-makers require assessments of status and trends for marine species, habitats, and ecosystems to understand if human activities in the marine environment are sustainable, particularly in the face of global change. Central to many assessments are statistical and dynamical models of populations, communities, ecosystems, and their socioeconomic systems and management frameworks. The establishment of a national system that could facilitate the development of such model-based assessments has been identified as a priority for addressing management challenges for Australia’s marine environment. Given that most assessments require cross-scale information, individual models cannot capture all of the spatial, temporal, biological, and socioeconomic scales that are typically needed. Coupling or integrating models across scales and domains can expand the scope for developing comprehensive and internally consistent, system-level assessments, including higher-level feedbacks in social–ecological systems. In this article, we summarize: (i) integrated modelling for marine systems currently being undertaken in Australia, (ii) methods used for integration and comparison of models, and (iii) improvements to facilitate further integration, particularly with respect to standards and specifications. We consider future needs for integrated modelling of marine social–ecological systems in Australia and provide a set of recommendations for priority focus areas in the development of a national approach to integrated modelling. These recommendations draw on—and have broader relevance for—international efforts around integrated modelling to inform decision-making for marine systems.

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

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