Georeferenced probabilistic risk assessment of pesticides : further advances in assessing the risk to aquatic ecosystems by spray drift from permanent crops / by Kubiak R. & Hommen U., Bach M., Classen S., Gergs A., Golla B., Guerniche D., Klein M., Krumpe J., Preuss TG., Ratte HAT., Roß-Nickol M., Schäfers C., Strauss T., Toschki A., Trapp M. ; project coordination Prof. Dr. Roland Kubiak (Institute of Agroecology, RLP Agroscience, Neustadt a.d. Weinstraße), Dr. Udo Hommen (Fraunhofer Institute for Molecular Biology and Apllied Ecology, Schmallenberg) ; on behalf of the Federal Environment Agency (Germany) ; study performed by: Consortium under the leadership of: RLP AgroScience GmbH Institut für Agrarökologie ; edited by: Section IV 1.3 Plant Protection Products Alexandra Müller, Steffen Matezki
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Discovery
1907627006
URN
urn:nbn:de:gbv:3:2-1102578
DOI
ISBN
ISSN
Körperschaft
Erschienen
Dessau-Roßlau : Umweltbundesamt, February 2014
Umfang
1 Online-Ressource (311 Seiten, 10,38 MB) : Illustrationen, Diagramme
Ausgabevermerk
Sprache
eng
Anmerkungen
Study completed in: October 2011
Anhänge mit extra Seitenzählung
Literaturangaben
Sprache der Zusammenfassung: Englisch, Deutsch
Inhaltliche Zusammenfassung
The current exposure assessment for pesticide entries into water bodies considers a water body model which represents a realistic worst case for water bodies in the agricultural landscape. For the factors determining the pesticide exposure in the model a variety of deterministic assumptions are made such as that it is a stagnant water body of a default depth of 30 cm which is directly situated in the edge of the field. Although this scenariobased approach enables a protective risk assessment it does not allow for an estimation of the spatiotemporal occurrence of this exposure situation in the landscape. Spatially explicit information on location factors with a relevant impact on exposure and risk in a water body are missing and can therefore not be considered in the risk management. In contrast the use of geo-referenced probabilistic methods in risk assessment allows for a site-specific as well as quantitative characterization of the pesticide exposure and linked risks in water bodies. Consequently such approaches also establish the possibility for a spatially differentiated risk management. This again leads to the expectation that such risk mitigation obligations due to their direct reference to the real local conditions might be more plausible and therefore acceptable for farmers. Furthermore they also give possibility to focus efforts in permanent local risk mitigation measures on those water body sections with a high risk.
Schriftenreihe
Texte ; 2014, 05 ppn:505871920