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

Meadhbh Moriarty; Joanne M. Murphy; Adam J. Brooker; Waites William; Crawford W. Revie; Thomas P.  Adams; Matt Lewis; Helena C. Reinardy; John P. Phelan; Johnny P. Coyle; Berit Rabe; Stephen C. Ives; John D. Armstrong; Anne D.  Sandvik; Lars Asplin; Ørjan Karlsen; Soizic Garnier; Gunnvør á Norði; Philip A. Gillibrand; Kim S.  Last; Alexander G.  Murray

doi:10.3354/aei00469

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

Meadhbh Moriarty, Joanne M. Murphy, Adam J. Brooker, Waites William, Crawford W. Revie, Thomas P. Adams, Matt Lewis, Helena C. Reinardy, John P. Phelan, Johnny P. Coyle, Berit Rabe, Stephen C. Ives, John D. Armstrong, Anne D. Sandvik, Lars Asplin, Ørjan Karlsen, Soizic Garnier, Gunnvør á Norði, Philip A. Gillibrand, Kim S. LastAlexander G. Murray

Firum - Knowledge for Sustainable Aquaculture

Research output: Contribution to journal › Review article › peer-review

1 Citation (Scopus)

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 as - sessed 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.

Original language	English
Pages (from-to)	1-25
Journal	Aquaculture Environment Interactions
Volume	16
DOIs	https://doi.org/10.3354/aei00469
Publication status	Published - 2024

Keywords

Aquaculture
Salmon louse
Environmental interactions
Dispersal modelling
Population modelling

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Moriarty, M., Murphy, J. M., Brooker, A. J., William, W., Revie, C. W., Adams, T. P., Lewis, M., Reinardy, H. C., Phelan, J. P., Coyle, J. P., Rabe, B., Ives, S. C., Armstrong, J. D., Sandvik, A. D., Asplin, L., Karlsen, Ø., Garnier, S., á Norði, G., Gillibrand, P. A., ... Murray, A. G. (2024). A gap analysis on modelling of sea lice infection pressure from salmonid farms.I. A structured knowledge review. Aquaculture Environment Interactions, 16, 1-25. https://doi.org/10.3354/aei00469

@article{b6f660f1dbcc41fbb9045a92b7537b9c,

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

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 as - sessed 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 knowledgestrength 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.",

keywords = "Aquaculture, Salmon louse, Environmental interactions, Dispersal modelling, Population modelling",

author = "Meadhbh Moriarty and Murphy, {Joanne M.} and Brooker, {Adam J.} and Waites William and Revie, {Crawford W.} and Adams, {Thomas P.} and Matt Lewis and Reinardy, {Helena C.} and Phelan, {John P.} and Coyle, {Johnny P.} and Berit Rabe and Ives, {Stephen C.} and Armstrong, {John D.} and Sandvik, {Anne D.} and Lars Asplin and {\O}rjan Karlsen and Soizic Garnier and {{\'a} Nor{\dh}i}, Gunnv{\o}r and Gillibrand, {Philip A.} and Last, {Kim S.} and Murray, {Alexander G.}",

year = "2024",

doi = "10.3354/aei00469",

language = "English",

volume = "16",

pages = "1--25",

journal = "Aquaculture Environment Interactions",

issn = "1869-215X",

publisher = "Inter-Research",

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Moriarty, M, Murphy, JM, Brooker, AJ, William, W, Revie, CW, Adams, TP, Lewis, M, Reinardy, HC, Phelan, JP, Coyle, JP, Rabe, B, Ives, SC, Armstrong, JD, Sandvik, AD, Asplin, L, Karlsen, Ø, Garnier, S, á Norði, G, Gillibrand, PA, Last, KS & Murray, AG 2024, 'A gap analysis on modelling of sea lice infection pressure from salmonid farms.I. A structured knowledge review', Aquaculture Environment Interactions, vol. 16, pp. 1-25. https://doi.org/10.3354/aei00469

TY - JOUR

T1 - A gap analysis on modelling of sea lice infection pressure from salmonid farms.I. A structured knowledge review

AU - Moriarty, Meadhbh

AU - Murphy, Joanne M.

AU - Brooker, Adam J.

AU - William, Waites

AU - Revie, Crawford W.

AU - Adams, Thomas P.

AU - Lewis, Matt

AU - Reinardy, Helena C.

AU - Phelan, John P.

AU - Coyle, Johnny P.

AU - Rabe, Berit

AU - Ives, Stephen C.

AU - Armstrong, John D.

AU - Sandvik, Anne D.

AU - Asplin, Lars

AU - Karlsen, Ørjan

AU - Garnier, Soizic

AU - á Norði, Gunnvør

AU - Gillibrand, Philip A.

AU - Last, Kim S.

AU - Murray, Alexander G.

PY - 2024

Y1 - 2024

N2 - 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 as - sessed 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 knowledgestrength 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.

AB - 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 as - sessed 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 knowledgestrength 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.

KW - Aquaculture

KW - Salmon louse

KW - Environmental interactions

KW - Dispersal modelling

KW - Population modelling

U2 - 10.3354/aei00469

DO - 10.3354/aei00469

M3 - Review article

SN - 1869-215X

VL - 16

SP - 1

EP - 25

JO - Aquaculture Environment Interactions

JF - Aquaculture Environment Interactions

ER -

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

Abstract

Keywords

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