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A Qualitative Multi-attribute Model for Economic and Ecological Evaluation of Genetically Modified Crops

dc.contributor.authorBohanec, Marko
dc.contributor.authorMesséan, Antoine
dc.contributor.authorScatasta, Sara
dc.contributor.authorDžeroski, Sašo
dc.contributor.authorŽnidaršič, Martin
dc.contributor.editorHřebíček, J.
dc.contributor.editorRáček, J.
dc.date.accessioned2019-09-16T09:34:33Z
dc.date.available2019-09-16T09:34:33Z
dc.date.issued2005
dc.description.abstractThe use of genetically modified (GM) crops raises several concerns about their ecological and economic consequences. For the purpose of the European projects ECOGEN and SIGMEA, we develop qualitative multi-attribute hierarchical models for the assessment of GM and non-GM cropping systems. In this paper, we describe a model for the assessment of ecological and economic impacts of GM and non-GM maize cropping systems at the farm level for one year of cropping. In this model, cropping systems are described by the features: crop type, regional and farmlevel context, crop protection and crop management strategies, and expected characteristics of the yield. The assessment is based on four groups of ecological and two groups of economic indicators: biodiversity, soil biodiversity, water quality, greenhouse gasses, variable costs and the value of production. The paper presents the hierarchical structure and components of the model, and illustrates its application by assessing five typical cropping systems.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol112/0661.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/27297
dc.publisherMasaryk University Brno
dc.relation.ispartofInformatics for Environmental Protection - Networking Environmental Information
dc.relation.ispartofseriesEnviroInfo
dc.titleA Qualitative Multi-attribute Model for Economic and Ecological Evaluation of Genetically Modified Cropsde
dc.typeText/Conference Paper
gi.citation.publisherPlaceBrno
gi.conference.date2005
gi.conference.locationBrno
gi.conference.sessiontitleModelling, simulation and computing

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