A gap analysis on modelling of sea lice infection pressure from salmonid farms. I. A structured knowledge review

Author:

Moriarty M1,Murphy JM1,Brooker AJ2,Waites W34,Revie CW3,Adams TP5,Lewis M6,Reinardy HC78,Phelan JP7,Coyle JP910,Rabe B1,Ives SC1,Armstrong JD1,Sandvik AD11,Asplin LC11,Karlsen Ø11,Garnier S1,á Norði G12,Gillibrand PA13,Last KS7,Murray AG1

Affiliation:

1. Marine Directorate, Scottish Government, Marine Laboratory, Aberdeen AB11 9DB, UK

2. Institute of Aquaculture, University of Stirling, Stirling FK9 4LA, UK

3. Computer and Information Sciences, University of Strathclyde, Glasgow G1 1XH, UK

4. School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK

5. Scottish Sea Farms Ltd, Barcaldine Hatchery, Argyll PA37 1SE, UK

6. Intertek Energy & Water Consultancy Services, The Maltings, East Tyndall Street, Cardiff CF24 5EA, UK

7. Scottish Association for Marine Science, Dunstaffnage PA37 1QA, UK

8. Department of Arctic Technology, University Centre in Svalbard, 9171 Longyearbyen, Norway

9. Bakkafrost Scotland, 28 Drumsheugh Gardens, Edinburgh EH3 7RN, UK

10. Salmon Scotland, 21 Calton Road, Edinburgh EH8 8DL, UK

11. Institute of Marine Research, PB1870 Nordnes, 5817 Bergen, Norway

12. Fiskaaling-Aquaculture Research Station of the Faroes, Við Áir 11, 430 Hvalvík, Faroe Islands

13. Mowi Scotland Ltd, Farms Office, Fort William PH33 6RX, UK

Abstract

Sustainability of aquaculture, an important component of the blue economy, relies in part on ensuring assessment of environmental impact and interactions relating to sea lice dispersing from open pen salmon and trout farms. We review research underpinning the key stages in the sea lice infection process to support modelling of lice on wild salmon in relation to those on farms. The review is split into 5 stages: larval production; larval transport and survival; exposure and infestation of new hosts; development and survival of the attached stages; and impact on host populations. This modular structure allows the existing published data to be reviewed and assessed to identify data gaps in modelling sea lice impacts in a systematic way. Model parameterisation and parameter variation is discussed for each stage, providing an overview of knowledge strength and gaps. We conclude that a combination of literature review, empirical data collection and modelling studies are required on an iterative basis to ensure best practice is applied for sustainable aquaculture. The knowledge gained can then be optimised and applied at regional scales, with the most suitable modelling frameworks applied for the system, given regional limitations.

Publisher

Inter-Research Science Center

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Aquatic Science

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