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  • PRATIQUE will carry out all the key work listed in the call and address the major challenges for pest risk analysis (PRA) in Europe. This will be achieved through three principal objectives: to assemble the datasets required to construct effective PRAs valid for the whole of the EU, to conduct multi-disciplinary research that enhances the techniques used in PRA and to ensure that the PRA decision support scheme meets its purpose, is efficient and user-friendly. Pest risk analysts, phytosanitary experts, invasive alien species specialists, ecologists, economists and risk modellers from 13 leading institutes in the EU, one from Australia and one from New Zealand will produce the first structured inventory of PRA datasets for the EU and undertake targeted research to improve existing procedures and develop new methods for (a) the assessment of economic, environmental and social impacts, (b) summarising risk in effective, harmonised ways that take account of uncertainty, (c) mapping endangered areas, (d) pathway risk analysis and systems approaches and (e) guiding actions during emergencies caused by outbreaks of harmful pests. The results will be tested with a representative range of the major pests and invasive alien species affecting the cultivated and uncultivated habitats of the EU and will be independently validated by phytosanitary experts. The deliverables will be provided as protocols, decision support systems and computer programs with examples of best practice made available to pest risk analysts through modules and direct links to the PRA scheme. The PRA scheme will be web-enabled providing (i) new users with context-sensitive guidance, (ii) experts with a more efficient and user-friendly process and greatly enhanced access to key datasets and analytical tools, (iii) policy makers with an improved and robust scientific basis for managing risks and (iv)stakeholders with a transparent presentation of the risks. (en)
  • PRATIQUE will carry out all the key work listed in the call and address the major challenges for pest risk analysis (PRA) in Europe. This will be achieved through three principal objectives: to assemble the datasets required to construct effective PRAs valid for the whole of the EU, to conduct multi-disciplinary research that enhances the techniques used in PRA and to ensure that the PRA decision support scheme meets its purpose, is efficient and user-friendly. Pest risk analysts, phytosanitary experts, invasive alien species specialists, ecologists, economists and risk modellers from 13 leading institutes in the EU, one from Australia and one from New Zealand will produce the first structured inventory of PRA datasets for the EU and undertake targeted research to improve existing procedures and develop new methods for (a) the assessment of economic, environmental and social impacts, (b) summarising risk in effective, harmonised ways that take account of uncertainty, (c) mapping endangered areas, (d) pathway risk analysis and systems approaches and (e) guiding actions during emergencies caused by outbreaks of harmful pests. The results will be tested with a representative range of the major pests and invasive alien species affecting the cultivated and uncultivated habitats of the EU and will be independently validated by phytosanitary experts. The deliverables will be provided as protocols, decision support systems and computer programs with examples of best practice made available to pest risk analysts through modules and direct links to the PRA scheme. The PRA scheme will be web-enabled providing (i) new users with context-sensitive guidance, (ii) experts with a more efficient and user-friendly process and greatly enhanced access to key datasets and analytical tools, (iii) policy makers with an improved and robust scientific basis for managing risks and (iv)stakeholders with a transparent presentation of the risks. (cs)
Title
  • Enhancements of Pest Risk Analysis Techniques (en)
  • Enhancements of Pest Risk Analysis Techniques (cs)
http://linked.open...vai/cislo-smlouvy
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  • pest risk analysis, economic and environmental impacts, modelling uncertainty, pathway analysis, risk management, eradication of outbreaks, invasive alien species (en)
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