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Fuzzy experts on recreational vessels, a risk modelling approach for marine invasions

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  • Acosta, Hernando
  • Wu, Dongrui
  • Forrest, Barrie M.

Abstract

Understanding risks from the human-mediated spread of non-indigenous species (NIS) is a critical component of marine biosecurity management programmes. Recreational boating is well-recognised as a NIS pathway, especially at a regional scale. Assessment of risks from this pathway is therefore desirable for coastal environments where recreational boating occurs. However, formal or quantitative risk assessment for the recreational vessel pathway is often hampered by lack of data, hence often relies on expert opinion. The use of expert opinion itself is sometimes limited by its inherent vagueness, which can be an important source of uncertainty that reduces the validity and applicability of the assessment. Fuzzy logic, specifically interval type-2 fuzzy logic, is able to model and propagate this type of uncertainty, and is a useful technique in risk assessment where expert opinion is relied upon. The present paper describes the implementation of a NIS fuzzy expert system (FES) for assessing the risk of invasion in marine environments via recreational vessels. The FES was based on expert opinion gathered through systematic elicitation exercises, designed to acknowledge important uncertainty sources (e.g., underspecificity and ambiguity). The FES, using interval type-2 fuzzy logic, calculated an invasion risk value (integrating NIS infection and detection probabilities) for a range of invasion scenarios. These scenarios were defined by all possible combinations of two vessel types (moored and trailered), five vessel components (hull, deck, internal spaces, anchor, fishing gear), two infection modes (fouling, water/sediment retention) and six frequently visited marine habitats (marina, mooring, farm, ramp, wharf, anchorage). Although invasion risk values determined using the FES approach was scenario-specific, general patterns were identified. Moored vessels consistently showed higher invasion risk values than trailered vessels. Invasion risk values were higher for anchorages, moorings and wharves. Similarly, hull-fouling was revealed as the highest infection risk mode after pooling results across all habitats. The NIS fuzzy expert system presented here appears as a valuable prioritising and decision-making tool for NIS research, prevention and control activities. Its easy implementation and wide applicability should encourage the development and application of this type of system as an integral part of biosecurity, and other environmental management plans.

Suggested Citation

  • Acosta, Hernando & Wu, Dongrui & Forrest, Barrie M., 2010. "Fuzzy experts on recreational vessels, a risk modelling approach for marine invasions," Ecological Modelling, Elsevier, vol. 221(5), pages 850-863.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:5:p:850-863
    DOI: 10.1016/j.ecolmodel.2009.11.025
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    References listed on IDEAS

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    1. Prato, Tony, 2007. "Assessing ecosystem sustainability and management using fuzzy logic," Ecological Economics, Elsevier, vol. 61(1), pages 171-177, February.
    2. Plikynas, Darius & Sakalauskas, Leonidas & Poliakova, Alina, 2005. "Analysis of foreign investment impact on the dynamics of national capitalization structure: A computational intelligence approach," Research in International Business and Finance, Elsevier, vol. 19(2), pages 304-332, June.
    3. Ashton, Robert H., 1986. "Combining the judgments of experts: How many and which ones?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 38(3), pages 405-414, December.
    4. Alison Hubbard Ashton & Robert H. Ashton, 1985. "Aggregating Subjective Forecasts: Some Empirical Results," Management Science, INFORMS, vol. 31(12), pages 1499-1508, December.
    5. Fildes, Robert, 2006. "The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion," International Journal of Forecasting, Elsevier, vol. 22(3), pages 415-432.
    6. Li, Yimin & Sun, Xihao, 2008. "Modelling dynamic niche and community model by type-2 fuzzy set," Ecological Modelling, Elsevier, vol. 211(3), pages 375-382.
    7. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
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    2. Helena Ukić Boljat & Neven Grubišić & Merica Slišković, 2021. "The Impact of Nautical Activities on the Environment—A Systematic Review of Research," Sustainability, MDPI, vol. 13(19), pages 1-19, September.

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