Applying an operating model for the environmental risk assessment in Italian Sites of Community Importance (SCI) of the European Commission Habitats Directive (92/43/EEC)

作者: Ilaria Marotti , S. Arpaia , Giovanni Dinelli , V. Giovannelli , C. Sbrana

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摘要: The fast development of agro-biotechnologies asks for a harmonized approach in risk analysis GMO's releases, where "risk analysis" entails the assessment, management and communication risk. Risk assessment consists evaluation likeli- hood that hazard occurs, associated with presence receptor(s) receiving environment, determination their potential degree exposure to hazard. whole process has be both science based applied case by case, it involves very complicated procedure needs transformed an operational standardized tool. Beginning 2003, expert group on behalf Italian Ministry Environment elaborated Operating Model Environmental As- sessment (OMERA) mainly addressed scientists, companies, regulators, environmentalists, also aiming provide stakeholders scientifically correct source information. OMERA is logic scheme, moving from assumption occurring risk, release GMO into strictly related four ele- ments: a) source; b) diffusion factors; c) dispersal routes; d) receptors. It comprises two main components: conceptual model represented as flowchart electronic Questionnaire (eQ) driven relational database (Microsoft Office Access). eQ includes sets questions specifically formulated each box create "decision tree" can followed all components model. Completing leads identification potentially affected receptors effects. Within framework LIFE+ project (MAN-GMP-ITA) multidisciplinary was formed validate improve this methodology. questionnaire been filled simulating herbicide tolerant GT73 oilseed rape insect resistant MON810 maize different experimental areas. results attested allows collection comparison data standard way at same time receptors, effects monitoring activities study. experiences described paper have shown area improvement achieve more functional Decision Supporting System (DSS) would give quantitative extension commercial fields. As OMERA, DSS will user-friendly could easily modified adapted specific situations i.e GM crop field trials.

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