A stepwise integrated risk-assessment framework in aquaculture: the case of sea lice tolerance to freshwater treatments on salmon farms

被引:1
作者
Laurin, Emilie [1 ]
Stormoen, Marit [2 ]
Revie, Crawford [1 ,3 ]
Sanchez, Javier [1 ]
机构
[1] Univ Prince Edward Isl, Atlantic Vet Coll, Dept Hlth Management, Charlottetown, PE C1A 4P3, Canada
[2] Norwegian Univ Life Sci, Fac Vet Med, Oslo, Norway
[3] Univ Strathclyde, Dept Comp & Informat Sci, Glasgow, Lanark, Scotland
关键词
Risk analysis; Risk ranking; Framework; Sea lice; Freshwater tolerance; RESISTANCE;
D O I
10.3354/aei00373
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Aquaculture studies are often faced with data limitations when carrying out a quantitative risk assessment. Consolidating results from a literature search of potentially applicable methods, we propose a stepwise integrated methods approach that incorporates foundations from an antimicrobial resistance framework, the Office International Epizooties risk model, quantitative microbial risk assessment and infectious disease transmission models. We suggest that an initial ranking profile can be used to prioritize more in-depth qualitative and quantitative risk assessments, when data are available. The ranking method was done using a software that provides practical and interactive graphics for visualizing the impact of different factors and their respective weights on the likelihood of undesirable events (hazards) occurring. For this step, we illustrate how to include available data to obtain ranking results for decision makers using information from a recent sea lice freshwater tolerance literature review (Groner et al. 2019) that identified a gap in quantitative data. In our case example, for copepodid sea lice life stages, hypothetically changing how much experts believe that location and time are important factors revealed the most impact on the ranking for different degrees of freshwater tolerance evolution (no evolution, various partial options, known evolution). The factors 'location' and 'time', as well as 'freshwater treatment', have the greatest impact on the ranking for the preadult sea lice life-stages model. Results from our proposed ranking method can help to drive decisions around interpreting the various factors as they apply to mitigation planning and prioritizing those that should be included in further research. Additionally, we identify where quantitative data could be incorporated, as they become available, into a full risk assessment model with suggested models for a freshwater tolerance risk analysis framework.
引用
收藏
页码:417 / 428
页数:12
相关论文
共 29 条
  • [1] Drug resistance in sea lice: a threat to salmonid aquaculture
    Aaen, Stian Morch
    Helgesen, Kari Olli
    Bakke, Marit Jorgensen
    Kaur, Kiranpreet
    Horsberg, Tor Einar
    [J]. TRENDS IN PARASITOLOGY, 2015, 31 (02) : 72 - 81
  • [2] The Cost of Lice: Quantifying the Impacts of Parasitic Sea Lice on Farmed Salmon
    Abolofia, Jay
    Wilen, James E.
    Asche, Frank
    [J]. MARINE RESOURCE ECONOMICS, 2017, 32 (03) : 329 - 349
  • [3] A stage-structured Bayesian hierarchical model for salmon lice populations at individual salmon farms - Estimated from multiple farm data sets
    Aldrin, M.
    Huseby, R. B.
    Stien, A.
    Grontvedt, R. N.
    Viljugrein, H.
    Jansen, P. A.
    [J]. ECOLOGICAL MODELLING, 2017, 359 : 333 - 348
  • [4] [Anonymous], 2011, 772011 CACGL
  • [5] Beyond QMRA: Modelling microbial health risk as a complex system using Bayesian networks
    Beaudequin, Denise
    Harden, Fiona
    Roiko, Anne
    Stratton, Helen
    Lemckert, Charles
    Mengersen, Kerrie
    [J]. ENVIRONMENT INTERNATIONAL, 2015, 80 : 8 - 18
  • [6] Belton Valerie., 2002, Multiple Criteria Decision Analysis: An Integrated Approach
  • [7] Quantitative Microbial Risk Assessment and Infectious Disease Transmission Modeling of Waterborne Enteric Pathogens
    Brouwer, Andrew F.
    Masters, Nina B.
    Eisenberg, Joseph N. S.
    [J]. CURRENT ENVIRONMENTAL HEALTH REPORTS, 2018, 5 (02) : 293 - 304
  • [8] Covello V.T., 1993, RISK ASSESSMENT METH
  • [9] Effects of step salinity gradients on salmon lice larvae behaviour and dispersal
    Crosbie, T.
    Wright, D. W.
    Oppedal, F.
    Johnsen, I. A.
    Samsing, F.
    Dempster, T.
    [J]. AQUACULTURE ENVIRONMENT INTERACTIONS, 2019, 11 : 181 - 190
  • [10] Choices, Choices: The Application of Multi-Criteria Decision Analysis to a Food Safety Decision-Making Problem
    Fazil, A.
    Rajic, A.
    Sanchez, J.
    McEwen, S.
    [J]. JOURNAL OF FOOD PROTECTION, 2008, 71 (11) : 2323 - 2333