Comparative life cycle assessment of conventional and organic hazelnuts production systems in Central Italy

Agricultural activity is responsible of considerable negative effects on the environment. In this context, in the last years, organic cultivation is increasing being perceived as more sustainable for the environmental. Nevertheless, this higher sustainability compared to conventional agricultural systems is debated. This applied for crops but also for livestock systems. For some of the main crops (i.e., cereals, soybean) comparative analysis were carried out but for most of the other annual and perennial crops there is a lack of information about the environmental impact related to conventional and organic cultivation In this study, the environmental impact of the conventional and organic farming systems of hazelnuts production in Viterbo province in Italy was evaluated using the Life Cycle Assessment (LCA) approach. Even if originally developed for industrial processes, LCA is more and more applied also to agriculture systems to quantify the environmental impact. Primary data were collected by the main Producer Organization and elaborated considering 1 kg of hazelnuts as functional unit and a from cradle to gate approach considering the 50-years as life cycle duration of the crop. Finally, using the Recipe characterization method, 15 midpoint impact categories were evaluated. The results show how, except than for ecotoxicity related impact categories, organic cultivation practice shows higher impact (from +5% to +285%) respect to the conventional production. For ecotoxicity related impact categories, organic hazelnut production performs better (from −42% to −81%) than the conventional one because no synthetic pesticides are applied. The sensitivity analysis carried shows how yield is the main driver of the environmental results while the uncertainty analysis performed with the Monte Carlo technique shows that the to the selection of the data source, model imprecision and data variability does not significantly affect the environmental results for the evaluated impact categories.