title: A fuzzy 'boater' model to detect fouling and spreading risk of non-indigenous species by recreational boats.
abstract: Recreational boating is an unregulated and underestimated vector of spread of non-indigenous species (NIS) in marine environments. The risk of a single boat to spread NIS depends not only on the local environmental context, but also on the type of boat and on the boat owner's behaviour (hull cleaning and painting frequency, travel history). In this paper we present a model to assess the risk of fouling and spreading of NIS and its application to data derived from a questionnaire given to Italian boat owners. The model uses a two-levels fuzzy logic approach: (1) the first level assesses the risk of hull fouling and risk of spreading separately; (2) the second level combines the two separate risks in an overall index ranging from 0 (null risk) to 100 (highest risk) and measures the global risk of NIS introduction and spread through recreational boating. The questionnaire and the fuzzy model allow for a simple and rapid assessment of boats most likely to be infested. The proposed fuzzy model can be easily edited and adapted to context-specific ecological and social conditions. The results of this Italian study showed that 53.9% of the respondents were in the very-low and low risk categories, and 46.1% in the medium, high and very-high risk categories. Possible associations between some boaters habits and the fouling and spreading risk were explored using logistic regression analyses. The results indicate a high-risk profile of boat owner as an experienced sailor who visits many marinas during the summer season. Biosecurity guidelines, containment measures and awareness raising programmes should be implemented to prevent and avoid further spread of NIS in marine environments, and such management actions would benefit from the early detection of high-risk boats, and from the identification of profiles of boaters upon which these initiatives should be prioritized.
authors.affiliation: Department of Earth and Environmental Sciences, University of Pavia, Italy. Electronic address: jasmine.ferrario@unipv.it.
authors.forename: Jasmine
authors.initials: J
authors.lastname: Ferrario
authors.affiliation: Department of Earth and Environmental Sciences, University of Pavia, Italy.
authors.forename: Agnese
authors.initials: A
authors.lastname: Marchini
authors.affiliation: Department of Public Health, Experimental and Forensic Medicine, Unit of Biostatistics and Clinical Epidemiology, University of Pavia, Italy.
authors.forename: Paola
authors.initials: P
authors.lastname: Borrelli
authors.affiliation: Department of Public Health, Experimental and Forensic Medicine, Unit of Biostatistics and Clinical Epidemiology, University of Pavia, Italy.
authors.forename: Francesca
authors.initials: F
authors.lastname: Gigli Berzolari
authors.affiliation: Department of Earth and Environmental Sciences, University of Pavia, Italy.
authors.forename: Anna
authors.initials: A
authors.lastname: Occhipinti-Ambrogi
mesh_terms: D003247:Conservation of Natural Resources; D004784:Environmental Monitoring / Q000379:methods*; D017143:Fuzzy Logic; D058865:Introduced Species; D007558:Italy; D011998:Recreation; D018570:Risk Assessment; D012307:Risk Factors; D012621:Seasons; D012767:Ships; D011795:Surveys and Questionnaires
keywords: Boat owner; Fuzzy logic; Introduced species; Marina; Questionnaire; Risk assessment