Estimating risk of events using SOM models: A case study on invasive species establishment

Benefit cost analysis of an import access request

“…Research into the connectedness of invasive species throughout different regions of the world may provide an opportunity to bolster our estimates of the probability of incursion in future. For instance, using artificial neural networks Gevrey et al (2006) and Worner and Gevrey (2006) produce species connection weights that represent an index of the importance of individual species to species assemblages in different areas of the world where they are known to occur. They can therefore be interpreted as index of the relative risk that the species may establish in a geographic area if it has the opportunity .…”

Cluster validity and uncertainty assessment for self‐organizing map pest profile analysis

“…This application of SOM to pest profile analysis is based on the assumption that all these complex interactions of biotic and abiotic factors are integrated into a region's resulting pest assemblage (Gevrey et al . ; Worner & Gevrey ). A regional pest assemblage is formed by the co‐occurrence of insect crop pests and indicates suitable environmental conditions, the presence of suitable hosts (Bebber, Holmes & Gurr ) and a particular invasion history of the region (Worner et al .…”

“…A species present in a region with a very similar pest profile to the target region is highly likely to be able to establish in the target region given the chance to do so (Worner & Gevrey ), therefore, assemblage similarity has been used as a proxy for establishment risk (Gevrey et al . ; Worner & Gevrey ; Watts & Worner ; Paini et al . , ; Morin, Paini & Randall ; Singh et al .…”

Applying Fuzzy Logic to Assess Human Perception in Relation to Conservation Plan Efficiency Measures Within a Biosphere Reserve

“…Fuzzy logic (FL) is a mathematical expert system that has been used in mixed, imprecise, and uncertain environments, dealing with uncertainties expressed as interval values and fuzzy sets and its approach is based upon linguistic expressions involving input and output variables rather than numerical probabilistic, statistical, or perturbation variables (Li and Huang 2010). It has commonly been used in informatics and robotic systems and has lately become a popular tool in environmental impact studies (Bojorquez-Tapia et al 2002;Li et al 2007;Gagliardi et al 2007) and ecological and risk assessments (Adriaenssens et al 2004;Salihoglu and Karaer 2004;Gevrey et al 2006), as well as for the evaluation of tropical forest conditions (Ochoa-Gaona et al 2010) and water resources management (Guo et al 2010) having the advantage of rendering subjective and implicit decisionmaking more objective and analytical, with its ability to accommodate both quantitative and qualitative data (Ekmekçioglu et al 2010).…”