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

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 pro...

Full description

Bibliographic Details
Main Authors: M Moriarty, JM Murphy, AJ Brooker, W Waites, CW Revie, TP Adams, M Lewis, HC Reinardy, JP Phelan, JP Coyle, B Rabe, SC Ives, JD Armstrong, AD Sandvik, LC Asplin, Ø Karlsen, S Garnier, G á Norði, PA Gillibrand, KS Last, AG Murray
Format: Article
Language:English
Published: Inter-Research 2024-01-01
Series:Aquaculture Environment Interactions
Online Access:https://www.int-res.com/abstracts/aei/v16/p1-25/
_version_ 1797214414145847296
author M Moriarty
JM Murphy
AJ Brooker
W Waites
CW Revie
TP Adams
M Lewis
HC Reinardy
JP Phelan
JP Coyle
B Rabe
SC Ives
JD Armstrong
AD Sandvik
LC Asplin
Ø Karlsen
S Garnier
G á Norði
PA Gillibrand
KS Last
AG Murray
author_facet M Moriarty
JM Murphy
AJ Brooker
W Waites
CW Revie
TP Adams
M Lewis
HC Reinardy
JP Phelan
JP Coyle
B Rabe
SC Ives
JD Armstrong
AD Sandvik
LC Asplin
Ø Karlsen
S Garnier
G á Norði
PA Gillibrand
KS Last
AG Murray
author_sort M Moriarty
collection DOAJ
description 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.
first_indexed 2024-04-24T11:13:47Z
format Article
id doaj.art-44a4e78a4c0d438989d7db3fb9ca37c4
institution Directory Open Access Journal
issn 1869-215X
1869-7534
language English
last_indexed 2024-04-24T11:13:47Z
publishDate 2024-01-01
publisher Inter-Research
record_format Article
series Aquaculture Environment Interactions
spelling doaj.art-44a4e78a4c0d438989d7db3fb9ca37c42024-04-11T09:59:26ZengInter-ResearchAquaculture Environment Interactions1869-215X1869-75342024-01-011612510.3354/aei00469A gap analysis on modelling of sea lice infection pressure from salmonid farms. I. A structured knowledge reviewM Moriarty0JM Murphy1AJ Brooker2W Waites3CW Revie4TP Adams5M Lewis6HC Reinardy7JP Phelan8JP Coyle9B Rabe10SC Ives11JD Armstrong12AD Sandvik13LC Asplin14Ø Karlsen15S Garnier16G á Norði17PA Gillibrand18KS Last19AG Murray20Marine Directorate, Scottish Government, Marine Laboratory, Aberdeen AB11 9DB, UKMarine Directorate, Scottish Government, Marine Laboratory, Aberdeen AB11 9DB, UKInstitute of Aquaculture, University of Stirling, Stirling FK9 4LA, UKComputer and Information Sciences, University of Strathclyde, Glasgow G1 1XH, UKComputer and Information Sciences, University of Strathclyde, Glasgow G1 1XH, UKScottish Sea Farms Ltd, Barcaldine Hatchery, Argyll PA37 1SE, UKIntertek Energy & Water Consultancy Services, The Maltings, East Tyndall Street, Cardiff CF24 5EA, UKScottish Association for Marine Science, Dunstaffnage PA37 1QA, UKScottish Association for Marine Science, Dunstaffnage PA37 1QA, UKBakkafrost Scotland, 28 Drumsheugh Gardens, Edinburgh EH3 7RN, UKMarine Directorate, Scottish Government, Marine Laboratory, Aberdeen AB11 9DB, UKMarine Directorate, Scottish Government, Marine Laboratory, Aberdeen AB11 9DB, UKMarine Directorate, Scottish Government, Marine Laboratory, Aberdeen AB11 9DB, UKInstitute of Marine Research, PB1870 Nordnes, 5817 Bergen, NorwayInstitute of Marine Research, PB1870 Nordnes, 5817 Bergen, NorwayInstitute of Marine Research, PB1870 Nordnes, 5817 Bergen, NorwayMarine Directorate, Scottish Government, Marine Laboratory, Aberdeen AB11 9DB, UKFiskaaling-Aquaculture Research Station of the Faroes, Við Áir 11, 430 Hvalvík, Faroe IslandsMowi Scotland Ltd, Farms Office, Fort William PH33 6RX, UKScottish Association for Marine Science, Dunstaffnage PA37 1QA, UKMarine Directorate, Scottish Government, Marine Laboratory, Aberdeen AB11 9DB, UKSustainability 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.https://www.int-res.com/abstracts/aei/v16/p1-25/
spellingShingle M Moriarty
JM Murphy
AJ Brooker
W Waites
CW Revie
TP Adams
M Lewis
HC Reinardy
JP Phelan
JP Coyle
B Rabe
SC Ives
JD Armstrong
AD Sandvik
LC Asplin
Ø Karlsen
S Garnier
G á Norði
PA Gillibrand
KS Last
AG Murray
A gap analysis on modelling of sea lice infection pressure from salmonid farms. I. A structured knowledge review
Aquaculture Environment Interactions
title A gap analysis on modelling of sea lice infection pressure from salmonid farms. I. A structured knowledge review
title_full A gap analysis on modelling of sea lice infection pressure from salmonid farms. I. A structured knowledge review
title_fullStr A gap analysis on modelling of sea lice infection pressure from salmonid farms. I. A structured knowledge review
title_full_unstemmed A gap analysis on modelling of sea lice infection pressure from salmonid farms. I. A structured knowledge review
title_short A gap analysis on modelling of sea lice infection pressure from salmonid farms. I. A structured knowledge review
title_sort gap analysis on modelling of sea lice infection pressure from salmonid farms i a structured knowledge review
url https://www.int-res.com/abstracts/aei/v16/p1-25/
work_keys_str_mv AT mmoriarty agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT jmmurphy agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT ajbrooker agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT wwaites agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT cwrevie agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT tpadams agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT mlewis agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT hcreinardy agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT jpphelan agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT jpcoyle agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT brabe agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT scives agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT jdarmstrong agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT adsandvik agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT lcasplin agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT økarlsen agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT sgarnier agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT ganorði agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT pagillibrand agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT kslast agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT agmurray agapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT mmoriarty gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT jmmurphy gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT ajbrooker gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT wwaites gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT cwrevie gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT tpadams gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT mlewis gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT hcreinardy gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT jpphelan gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT jpcoyle gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT brabe gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT scives gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT jdarmstrong gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT adsandvik gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT lcasplin gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT økarlsen gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT sgarnier gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT ganorði gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT pagillibrand gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT kslast gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview
AT agmurray gapanalysisonmodellingofsealiceinfectionpressurefromsalmonidfarmsiastructuredknowledgereview