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TITLE:
Performance and environmental accounting of nutrient cycling models to estimate nitrogen emissions in agriculture and their sensitivity in life cycle assessment - imarina:9156337

URV's Author/s:Jiménez Esteller, Laureano / PEREIRA ANDRADE, EDILENE
Author, as appears in the article.:Andrade EP; Bonmati A; Esteller LJ; Montemayor E; Vallejo AA
Author's mail:edilene.pereira@urv.cat
edilene.pereira@urv.cat
laureano.jimenez@urv.cat
Author identifier:0000-0001-8910-4911
0000-0001-8910-4911
0000-0002-3186-7235
Journal publication year:2021
Publication Type:Journal Publications
ISSN:0948-3349
e-ISSN:1614-7502
APA:Andrade EP; Bonmati A; Esteller LJ; Montemayor E; Vallejo AA (2021). Performance and environmental accounting of nutrient cycling models to estimate nitrogen emissions in agriculture and their sensitivity in life cycle assessment. International Journal Of Life Cycle Assessment, 26(2), 371-387. DOI: 10.1007/s11367-021-01867-4
Papper original source:International Journal Of Life Cycle Assessment. 26 (2): 371-387
Abstract:© 2021, The Author(s). Purpose: Several models are available in the literature to estimate agricultural emissions. From life cycle assessment (LCA) perspective, there is no standardized procedure for estimating emissions of nitrogen or other nutrients. This article aims to compare four agricultural models (PEF, SALCA, Daisy and Animo) with different complexity levels and test their suitability and sensitivity in LCA. Methods: Required input data, obtained outputs, and main characteristics of the models are presented. Then, the performance of the models was evaluated according to their potential feasibility to be used in estimating nitrogen emissions in LCA using an adapted version of the criteria proposed by the United Nations Framework Convention on Climate Change (UNFCCC), and other relevant studies, to judge their suitability in LCA. Finally, nitrogen emissions from a case study of irrigated maize in Spain were estimated using the selected models and were tested in a full LCA to characterize the impacts. Results and discussion: According to the set of criteria, the models scored, from best to worst: Daisy (77%), SALCA (74%), Animo (72%) and PEF (70%), being Daisy the most suitable model to LCA framework. Regarding the case study, the estimated emissions agreed to literature data for the irrigated corn crop in Spain and the Mediterranean, except N2O emissions. The impact characterization showed differences of up to 56% for the most relevant impact categories when considering nitrogen emissions. Additionally, an overview of the models used to estimate nitrogen emissions in LCA studies showed that many models have been used, but not always in a suitable or justified manner. Conclusions: Although mechanistic models are more laborious, mainly due to the amount of input data required, this study shows that Daisy could be a suitable model to estimate emissions when fertilizer application is relevant for the environmental study. In addition, and due to LCA urgently needing a solid methodology to estimate nitrogen emissions, mechanistic models such as Daisy could be used to estimate default values for different archetype scenarios.
Article's DOI:10.1007/s11367-021-01867-4
Link to the original source:https://link.springer.com/article/10.1007%2Fs11367-021-01867-4
Papper version:info:eu-repo/semantics/publishedVersion
licence for use:https://creativecommons.org/licenses/by/3.0/es/
Department:Enginyeria Química
Licence document URL:https://repositori.urv.cat/ca/proteccio-de-dades/
Thematic Areas:Materiais
Interdisciplinar
General environmental science
Farmacia
Environmental sciences
Environmental science (miscellaneous)
Environmental science (all)
Ensino
Engineering, environmental
Engenharias iii
Engenharias ii
Engenharias i
Economia
Ciências ambientais
Ciências agrárias i
Ciência de alimentos
Biotecnología
Administração pública e de empresas, ciências contábeis e turismo
Keywords:Unfccc
Salca ipcc tiers
Pef
Nitrous oxide
Nitrate leaching
Ipcc tiers
Daisy
Animo
Ammonia volatilization
Funding program:Marie Skłodowska-Curie Actions - European Union's Horizon 2020 research and innovation programme
Funding program action:Martí i Franquès COFUND Doctoral Programme
Acronym:MFP
Project code:Grant agreement No. 713679
Entity:Universitat Rovira i Virgili
Record's date:2024-07-27
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