Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36796
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: An aquaculture risk model to understand the causes and consequences of Atlantic Salmon mass mortality events: A review
Author(s): Sajid, Zaman
Gamperl, A. Kurt
Parrish, Christopher C
Colombo, Stefanie M
Santander, Javier
Mather, Charles
Neis, Barbara
Holmen, Ingunn Marie
Filgueira, Ramón
McKenzie, Cynthia H
Cavalli, Lissandra Souto
Jeebhay, Mohamed
Gao, Wenzhao
López Gómez, María Andrée
Caballero‐Solares, Albert
Contact Email: albert.caballerosolares@stir.ac.uk
Keywords: aquaculture
aquaculture system designing
environmental stressors
mass mortality event (MME)
risk assessment
salmon disease
Issue Date: Sep-2024
Date Deposited: 7-Mar-2025
Citation: Sajid Z, Gamperl AK, Parrish CC, Colombo SM, Santander J, Mather C, Neis B, Holmen IM, Filgueira R, McKenzie CH, Cavalli LS, Jeebhay M, Gao W, López Gómez MA & Caballero‐Solares A (2024) An aquaculture risk model to understand the causes and consequences of Atlantic Salmon mass mortality events: A review. <i>Reviews in Aquaculture</i>, 16 (4), pp. 1674-1695. https://doi.org/10.1111/raq.12917
Abstract: Mass mortality events (MMEs) are defined as the death of large numbers of fish over a short period of time. These events can result in catastrophic losses to the Atlantic salmon aquaculture industry and the local economy. However, they are challenging to understand because of their relative infrequency and the high number of potential factors involved. As a result, the causes and consequences of MMEs in Atlantic salmon aquaculture are not well understood. In this study, we developed a structural network of causal risk factors for MMEs for aquaculture and the communities that depend on Atlantic salmon aquaculture. Using the Interpretive Structural Modeling (ISM) technique, we analysed the causes of Atlantic salmon mass mortalities due to environmental (abiotic), biological (biotic) and nutritional risk factors. The consequences of MMEs were also assessed for the occupational health and safety of aquaculture workers and their implications for the livelihoods of local communities. This structural network deepens our understanding of MMEs and points to management actions and interventions that can help mitigate mass mortalities. MMEs are typically not the result of a single risk factor but are caused by the systematic interaction of risk factors related to the environment, fish diseases, feeding/nutrition and cage-site management. Results also indicate that considerations of health and safety risk, through pre- and post-event risk assessments, may help to minimize workplace injuries and eliminate potential risks of human fatalities. Company and government-assisted socio-economic measures could help mitigate post-mass mortality impacts. Appropriate and timely management actions may help reduce MMEs at Atlantic salmon cage sites and minimize the physical and social vulnerabilities of workers and local communities.
DOI Link: 10.1111/raq.12917
Rights: © 2024 The Authors. Reviews in Aquaculture published by John Wiley & Sons Australia, Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Notes: Additional authors: Cory Ochs, Sarah Lehnert, Cyr Couturier, Christine Knott, João F. Romero, Allan Cembella, Harry M. Murray, Ian A. Fleming, Joel Finnis, Mark D. Fast, Mark Wells, Gerald G. Singh
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

Files in This Item:
File Description SizeFormat 
Reviews in Aquaculture - 2024 - Sajid - An aquaculture risk model to understand the causes and consequences of Atlantic.pdfFulltext - Published Version2.93 MBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.