An aquaculture risk model to understand the causes and consequences of Atlantic Salmon mass mortality events: A review

IF 8.8 1区 农林科学 Q1 FISHERIES
Zaman Sajid, A. Kurt Gamperl, Christopher C. Parrish, Stefanie M. Colombo, Javier Santander, Charles Mather, Barbara Neis, Ingunn Marie Holmen, Ramón Filgueira, Cynthia H. McKenzie, Lissandra Souto Cavalli, Mohamed Jeebhay, Wenzhao Gao, María Andrée López Gómez, Cory Ochs, Sarah Lehnert, Cyr Couturier, Christine Knott, João F. Romero, Albert Caballero-Solares, Allan Cembella, Harry M. Murray, Ian A. Fleming, Joel Finnis, Mark D. Fast, Mark Wells, Gerald G. Singh
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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.

Abstract Image

了解大西洋鲑鱼大规模死亡事件的原因和后果的水产养殖风险模型:综述
大规模死亡事件(MMEs)是指短时间内大量鱼类死亡。这些事件会给大西洋鲑水产养殖业和当地经济造成灾难性损失。然而,由于其发生频率相对较低,且涉及的潜在因素较多,了解这些事件具有挑战性。因此,人们对大西洋鲑水产养殖中大型海洋生态系统的原因和后果还不甚了解。在这项研究中,我们为水产养殖业和依赖大西洋鲑水产养殖业的社区开发了一个MMEs因果风险因素结构网络。利用解释性结构建模(ISM)技术,我们分析了大西洋鲑因环境(非生物)、生物(生物)和营养风险因素而大量死亡的原因。我们还评估了大规模死亡事件对水产养殖工人职业健康和安全的影响,以及对当地社区生计的影响。这一结构网络加深了我们对大规模毁灭性海洋生态系统的了解,并指出了有助于减轻大规模死亡的管理行动和干预措施。大规模死亡事件通常不是单一风险因素造成的,而是与环境、鱼病、喂养/营养和网箱管理有关的风险因素系统性相互作用的结果。研究结果还表明,通过事前和事后的风险评估来考虑健康和安全风险,可能有助于最大限度地减少工伤事故和消除潜在的人员死亡风险。公司和政府协助采取的社会经济措施有助于减轻大规模死亡后的影响。适当和及时的管理行动可能有助于减少大西洋鲑鱼笼养场的大规模死亡事件,并将工人和当地社区的物质和社会脆弱性降至最低。
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来源期刊
CiteScore
24.80
自引率
5.80%
发文量
109
审稿时长
>12 weeks
期刊介绍: Reviews in Aquaculture is a journal that aims to provide a platform for reviews on various aspects of aquaculture science, techniques, policies, and planning. The journal publishes fully peer-reviewed review articles on topics including global, regional, and national production and market trends in aquaculture, advancements in aquaculture practices and technology, interactions between aquaculture and the environment, indigenous and alien species in aquaculture, genetics and its relation to aquaculture, as well as aquaculture product quality and traceability. The journal is indexed and abstracted in several databases including AgBiotech News & Information (CABI), AgBiotechNet, Agricultural Engineering Abstracts, Environment Index (EBSCO Publishing), SCOPUS (Elsevier), and Web of Science (Clarivate Analytics) among others.
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