Suitability of operational N direct field emissions models to represent contrasting agricultural situations in agricultural LCA: Review and prospectus

Avadí, Ángel; Galland, Victor; Versini, Antoine; Bockstaller, Christian

doi:10.1016/j.scitotenv.2021.149960

Cited by 13 publications

(14 citation statements)

References 87 publications

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“…However, a way to cope with acidification, eutrophication, and particulate matter pollution should be found. Meier et al [25], as well as Avadí et al [26] more recently, reported that the methodology used is not adapted to organic systems, casting doubts about the fact that higher burdens of organic systems per product unit are caused by lower yields. In particular, the assumptions made for nitrogen emissions calculations are the same for conventional and organic systems, even though the mode of action of organic systems is different.…”

Section: Discussionmentioning

confidence: 99%

Environmental Impacts of Egg Production from a Life Cycle Perspective

2022

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The food industry represents a vast environmental burden to our planet. Most animal products are known to have greater environmental impacts than alternative plant-based sources of nutrition. One of the most consumed animal products are eggs, represented in most dietary habits both as a primary ingredient and processed. In the European Union (EU), eggs for consumption can be produced in four different laying systems: enriched cages, barns, free-range, and organic. In past years, discussions about the ethical perspective have been ongoing among the wider public, industry and academia. However, the essential comparison of environmental impacts of the laying systems has been missing in our region. Life Cycle Assessment (LCA) is an excellent tool for comparing environmental impacts of various scenarios. Therefore, we performed a LCA of several egg-producing subjects in the Czech Republic, representative of all four laying systems. In addition, these regulated laying systems were compared to a community garden system. Our results suggest feed conversion ratio (FCR), feed composition, and manure management to be the most important factors influencing the total environmental impacts of eggs. Moreover, environmental benefits linked to outdoor access or using organic feed over conventional were observed in our study.

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Section: Discussionmentioning

confidence: 99%

Environmental Impacts of Egg Production from a Life Cycle Perspective

2022

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“…Most certainly, the tool could be used by researchers interested in OWs. It could, for example, be used to refine field emissions in LCA studies dealing with OW application (Avadí et al, 2022). For the moment, the tool can be obtained only upon the author's request and benefits from limited support and documentation.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, it is dedicated to low‐ to middle‐income countries and considers a limited variety of OWs. Life cycle assessment (LCA), a standardized assessment method (ISO 14040 et 14,044), is another way to perform this multicriteria assessment, but LCA usually relies on very simple formalisms not suitable for OWs (Avadí et al, 2022). A challenge also remains in the calibration of a large diversity of OWs in these models, with different nutrient contents, potential N mineralization and C storage, contaminant contents, etc.…”

Section: Introductionmentioning

confidence: 99%

Predicting the short‐ and long‐term effects of recycling organic wastes in cropping systems with the PROLEG tool

Levavasseur

Houot

2022

Soil Use and Management

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Recycling organic wastes (OWs) in agriculture may increase soil organic carbon (SOC), improve soil chemical, physical and biological properties and make mineral fertilizer savings possible. Some drawbacks are related, for example, to N losses, soil contamination or greenhouse gas (GHG) emissions, and may counterbalance the interest in OW recycling. Some of these effects are only noticeable after repeated applications over several years and depend on OW type, on their insertion in cropping systems (e.g. rate, period) and on pedoclimatic conditions. The optimization of OW recycling should promote its positive effects and limit its negative effects. Various simulation tools can predict some OW effects and help with this optimization. However, despite many existing tools, dedicated tools with a multicriteria approach to OW effects and the ability to consider various OWs, soils, climates and cropping systems are still missing. We developed the PROLEG tool to predict the short‐ and long‐term multiple effects of OW application in agriculture at the field scale. The tool combined the soil‐carbon model AMG to predict SOC changes, the soil‐crop model STICS to predict N supply and N losses, some pedotransfer functions to predict the evolution of some soil properties related to SOC and simple balance equations to predict mineral fertilizer needs, GHG balance, soil contamination with trace metals and economic results. The tool also embedded many parameter tables, especially related to the characteristics of diverse OWs. The tool required easily accessible soil properties and a description of the cropping systems in a simple spreadsheet. It automatically computed mean and detailed output variables in tables and figures. We illustrated the use of the tool with a simple case study. The tool has already been used with farmers to design new cropping systems and to support public policy related to anaerobic digestion.

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“…This variety of management and pedoclimatic circumstances can be labelled as contrasting agricultural situations, which have been addressed by modellers via major nitrogen modelling efforts over the last decades (Bhar et al, 2021;Cannavo et al, 2008). Despite these efforts, the lack of a universally valid and operational model to estimate direct field emissions in the context of applications such as life cycle assessment (LCA) has been repeatedly indicated in the literature (Avadí et al, 2022;Nitschelm et al, 2018;Pereira Andrade et al, 2021;van Lent et al, 2015). Indeed, in the context of LCA, practitioners require simpler models rather than complex ones to estimate direct field emissions to be included in life cycle inventories (Avadí et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Despite these efforts, the lack of a universally valid and operational model to estimate direct field emissions in the context of applications such as life cycle assessment (LCA) has been repeatedly indicated in the literature (Avadí et al, 2022;Nitschelm et al, 2018;Pereira Andrade et al, 2021;van Lent et al, 2015). Indeed, in the context of LCA, practitioners require simpler models rather than complex ones to estimate direct field emissions to be included in life cycle inventories (Avadí et al, 2022). Complex models, such as crop-soil models (e.g.…”

Section: Introductionmentioning

confidence: 99%