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Freshwater ecotoxicity assessment of pesticide use in crop production : Testing the influence of modeling choices
Peña Valbuena, Nancy Angela Lucia (Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals)
Knudsen, Marie Trydeman (Aarhus University)
Fantke, Peter (Technical University of Denmark)
Antón Vallejo, Ma. Asunción (Institut de Recerca i Tecnologia Agroalimentàries (IRTA))
Hermansen, John Erik (Aarhus University)

Data: 2019
Resum: Pesticides help to control weeds, pests, and diseases contributing, therefore, to food availability. However, pesticide fractions not reaching the intended target may have adverse effects on the environment and the field ecosystems. Modeling pesticide emissions and the link with characterizing associated impacts is currently one of the main challenges in Life Cycle Assessment (LCA) of agricultural systems. To address this challenge, this study takes advantage of the latest recommendations for pesticide emission inventory and impact assessment and frames a suitable interface for those LCA stages and the related mass distribution of pesticide avoiding a temporal overlapping. Here, freshwater ecotoxicity impacts of the production of feed crops (maize, grass, winter wheat, spring barley, rapeseed, and peas) in Denmark were evaluated during a 3-year period, testing the effects of inventory modeling and the recent updates of the characterization method (USEtox). Potential freshwater ecotoxicity impacts were calculated in two functional units reflecting crop impact profiles per ha and extent of cultivation, respectively. Ecotoxicity impacts decreased over the period, mainly because of the reduction of insecticides use (e. g. , cypermethrin). Three different emission modeling scenarios were tested; they differ on the underlining assumptions and data requirements. The main aspects influencing impact results are the interface between inventory estimates and impact assessment, and the consideration of intermedia processes, such as crop growth development and pesticide application method. Impact scores for AS2 were higher than RS and AS1, but the differences in the crops ranking was less apparent. On the other hand, the influence on the estimation of impacts for individual AIs was considerable and statistical differences were found in the impact results modeled in scenarios RS and AS2. Thereby indicating the effect of inventory models on ecotoxicity impact assessment.
Nota: Unidad de excelencia María de Maeztu MdM-2015-0552
Nota: Altres ajuts: Programa CERCA - Generalitat de Catalunya
Nota: Número d'acord de subvenció EC/FP7/266367
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Llengua: Anglès.
Document: article ; recerca ; acceptedVersion
Matèria: Pesticide emission factors ; Inventory modeling ; Ecotoxicity characterization ; Life cycle impact assessment (LCIA) ; Feed crops ; Agriculture
Publicat a: Journal of Cleaner Production, Vol. 209 (February 2019) , p. 1332-1341, ISSN 0959-6526

DOI: 10.1016/j.jclepro.2018.10.257

Disponible a partir de: 2021-02-28

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > Institut de Ciència i Tecnologia Ambientals (ICTA)
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 Registre creat el 2019-03-21, darrera modificació el 2019-05-02

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