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    Proposal for a LCA improvement roadmap in the Agri-food sector based on information exchange requirements and the enclosed data in recent LCAs works

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    Innovation is essential to promote human progress and to improve the humans' quality of life, but it should be done in a social and environmental context and in accordance with the principles of sustainable development. To achieve this challenge the environmental innovation guidelines should be taken into account. In this line, it is necessary to analyze the life cycle assessment (LCA) of any product, process or service and compute its environmental impacts. Despite the rapid evolution of environmental methods and tools and the increase of sustainability studies in recent years, LCA remains an area that still has to face major development challenges. This thesis provides an analysis from a new perspective with the intention to serve as a support in the conceptual and empirical application of the LCA in the Agri-food sector. It consists of a qualitative analysis designed to know the type of relationship between the different actors involved and their information exchange needs. The case study made it possible to compare the differences between the academic and the industrial fields, as well as the differences between Spanish and Brazilian LCA experts. Through expert panels, 40 specialists were interviewed and were asked to made a survey to evaluate experts' relationships using the Social Network Analysis method (SNA). Moreover, the network flow of environmental information in Brazil and Spain was mapped. A second quantitative study was carried out reviewing 70 scientific publications of LCA in the Agri-food sector according to a checklist based on the definition of 20 control variables. The objective was to evaluate the quantity and quality of the information enclosed in the different works. To do this, the entropy and diversity of information were calculated using the Shannon and the equitability indexes, using the number of inputs considered in each impact category. A threshold of minimum information is proposed, using percentiles 25 and 75 (Tukey values) of the calculated Shannon indexes from the papers sample. Moreover, a cluster analysis was done using 10 out the 20 control variable to classify LCAs into clusters with similar levels of performance for the LCAs of the same group and different from the LCA belonging to the other groups. Based on the analysis of the centers of resulting group, the strengths and weaknesses of each group were identified. Then, a roadmap or improvement plan was succinctly defined, pointing out the actions to be taken to improve the performance levels in each group in the short, medium and long term. Finally, a set of actions to improve and facilitate the implementation of LCA in the Agri-food sector was defined as a kind of good practice manual. In sum, it could be concluded that this present thesis could serve to improve the LCA studies performance levels for industry, and, at the same time, it could serve as a baseline with which to compare academic standards of a more academic works.La innovación es esencial para promover el progreso de la humanidad y la mejora de la calidad de vida, pero debe realizarse respetando un suelo social y un techo ambiental de acuerdo con los principios del desarrollo sostenible. Para intentar conseguirlo surge la innovación ambiental. En esa línea, resulta necesario analizar el ciclo de vida (ACV) de cualquier producto, proceso o servicio y computar sus impactos ambientales. A pesar de la rápida evolución de los métodos y herramientas y del incremento de estudios en los últimos años, el ACV sigue siendo un área que se enfrenta a retos de desarrollo importantes. Esta tesis proporciona un análisis desde una perspectiva nueva con la intención de servir de apoyo en la aplicación conceptual y empírica del ACV en el sector agroalimentario. Consta de un análisis cualitativo destinado a conocer el tipo de relación entre los distintos actores involucrados y sus necesidades de intercambio de información. El caso de aplicación permite comparar las diferencias entre el mundo académico y el industrial, así como las diferencias entre expertos en ACV de España y Brasil. A través de paneles de expertos se entrevistó a 40 especialistas y con un cuestionario se evaluó la red de contactos usando el método de Análisis de Redes Sociales (SNA). Con todo se mapeó el flujo de información ambiental en Brasil y España. En un segundo estudio cuantitativo se realizó una revisión crítica de 70 publicaciones científicas de ACV pertenecientes al sector agroalimentario, evaluando las mejores revistas y congresos de todo el mundo entre 2010 y 2016 a partir de la definición de 20 variables de control. El objetivo era evaluar la cantidad y calidad de la información contenida en los distintos trabajos. Para ello se calculó la entropía y diversidad de la información a través del Índice de Shannon y del cálculo de la heterogeneidad en lo refiere al número de inputs considerados en cada categoría de impacto. Tras los valores obtenidos se proponen unos umbrales de información mínima aconsejable usando como límites el valor de las bisagras de Tukey de la distribución de los 70 índices de Shannon calculados. Por otra parte, a partir de 10 de las 20 variables de control se agruparon los distintos ACV analizados con objeto de clasificarlos en grupos con parecido nivel de desempeño para los ACV de un mismo grupo y distinto al de los ACV pertenecientes al resto de grupos. A partir del análisis del análisis de los centros de cada grupo, se identificó las fortalezas y debilidades de cada grupo, para más tarde definir de forma sucinta un mapa de ruta o plan de mejora apuntando las acciones a realizar para mejorar los niveles de desempeño en el corto, medio y largo plazo de cada grupo. Finalmente, se definió a modo de un manual de buenas prácticas un conjunto de acciones a realizar para mejorar y facilitar la realización de ACV en el sector agroalimentario. Con todo. Se podría concluir que la tesis puede servir para mejorar los niveles de desempeño de la realización futura de estudios de ACV en el sector industrial, al tiempo que podría servir como línea de base con la que comparar los estándares de estudios de carácter más académico.La innovació és essencial per a promoure el progrés de la humanitat i la millora de la qualitat de vida, però ha de realitzar-se respectant un sòl social i un sostre ambiental d'acord amb els principis del desenrotllament sostenible. Per a intentar aconseguir-ho sorgix la innovació ambiental. En eixa línia, resulta necessari analitzar el cicle de vida (ACV) de qualsevol producte, procés o servici i computar els seus impactes ambientals. A pesar de la ràpida evolució dels mètodes i ferramentes i de l'increment d'estudis en els últims anys, l'ACV continua sent una àrea que s'enfronta a reptes de desenrotllament importants. Esta tesi proporciona una anàlisi des d'una perspectiva nova amb la intenció de servir de suport en l'aplicació conceptual i empírica de l'ACV en el sector agroalimentari. Consta d'una anàlisi qualitativa destinada a conèixer el tipus de relació entre els distints actors involucrats i les seues necessitats d'intercanvi d'informació. El cas d'aplicació permet comparar les diferències entre el món acadèmic i l'industrial, així com les diferències entre experts en ACV d'Espanya i Brasil. A través de panells d'experts es va entrevistar a 40 especialistes i amb un qüestionari es va avaluar la xarxa de contactes usant el mètode d'Anàlisi de Xarxes Socials (SNA). Amb tot es dissenyà el flux d'informació ambiental a Brasil i Espanya. En un segon estudi quantitatiu es va realitzar una revisió crítica de 70 publicacions científiques d'ACV pertanyents al sector agroalimentari, avaluant les millors revistes i congressos de tot el món entre 2010 i 2016 a partir de la definició de 20 variables de control. L'objectiu era avaluar la quantitat i qualitat de la informació continguda en els distints treballs. Per a això es va calcular l'entropia i diversitat de la informació a través de l'Índex de Shannon i del càlcul de l'heterogeneïtat en el que es refereix al nombre d'inputs considerats en cada categoria d'impacte. Després dels valors obtinguts es proposen uns llindars d'informació mínima aconsellable usant com a límits el valor de les frontisses de Tukey de la distribució dels 70 índexs de Shannon calculats. D'altra banda, a partir de 10 de les 20 variables de control es van agrupar els distints ACV analitzats a fi de classificar-los en grups amb paregut nivell d'excel·lència per als ACV d'un mateix grup i diferent del dels ACV pertanyents a la resta de grups. A partir de l'anàlisi de l'anàlisi dels centres de cada grup, es va identificar les fortaleses i debilitats de cada grup, per a més tard definir de forma succinta un mapa de ruta o pla de millora apuntant les accions a realitzar per a millorar els nivells d'exercici en el curt, mitjà i llarg termini de cada grup. Finalment, es va definir a manera d'un manual de bones pràctiques un conjunt d'accions a realitzar per a millorar i facilitar la realització d'ACV en el sector agroalimentari. Amb tot, es podria concloure que la tesi pot servir per a millorar els nivells d'exercici de la realització futura d'estudis d'ACV en el sector industrial, alhora que podria servir com a línia de base amb què comparar els estàndards d'estudis de caràcter més acadèmic.Oliveira Barros, FM. (2017). Proposal for a LCA improvement roadmap in the Agri-food sector based on information exchange requirements and the enclosed data in recent LCAs works [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/89082TESI

    Life cycle assessment of agre-food systems

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    Life Cycle Assessment (LCA) is the internationally recognized method to assess the environmental impacts of products and services. Its application to agri-food systems in developing or emerging contexts is recent and represents many challenges of scientific, partnerial and operational nature. With more than 10 years of scientific and field experience, the CIRAD LCA team has synthesized, with other internationally recognized experts, the best knowledge and approaches available to apply LCA under these conditions. This operational guide is a useful tool for LCA practitioners; it provides best practice recommendations to carry out LCA studies on agri-food products in developing and emerging contexts

    Understanding Life Cycle Thinking and its Practical Application to Agri-Food System

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    Global agri-food system will face great pressure to meet the continuing demands for food due to the increasing number of world population.  The high demand requires an increase in food production and agricultural output, which, therefore,   means more raw materials, water, energy, and other resources needed.  Increasing the amount of these resources for agri-food system will harm the environment since carbon dioxide generated by the burning of fuel will then result in global warming and climate change. This paper discusses global issues related to sustainable agri-food system, such as climate change, sustainability, green products,  food loss and food mileage relationships with emissions.  It describes Life Cycle Thinking (LCT) philosophy and how LCT is operated into practical applications, using Spanish Agri-food system as an example, and challenges for Life Cycle Assessment (LCA) applications in supporting sustainable agri-food systems.  Environmental impacts associated with agri-food system need to be reduced. The use of an LCA framework to determine the areas with the greatest impact and reduction strategies for agri-food operation is a viable strategy to reduce the environmental impacts in facing the increasing global demand.  Nevertheless, the application of LCA in agri-food systems varies due to global, regional, and local differences in its practice. Thus, it makes it difficult for general LCAs to be conducted on agri-food system. Despite the increasing number of LCA studies in agri-food system, the literature on methodological aspects, and case studies, some challenges still need to be addressed to ensure that LCA provides significant results

    Outline of the Finnish system of certified carbon footprints of food products

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    The basic structure of a system called Certified Footprints of Products (CFP system) is outlined in this discussion paper. The CFP system could produce strict and reliable data needed for generating product-oriented carbon footprints in Finland. Central parts of the CFP system are a national CFP programme, product category rules (PCRs), a chain or actor-wise monitoring plan, validation of the monitoring plan, and reporting and verification of data, and an ICT-system to support data sharing. The system is designed around activity-based monitoring data, and every actor would be responsible for data on its own activities. Linkages to existing environmental management systems are taken into account. The CFP system is still just a theoretical structure. It needs further development prior to full-scale introduction. For the food sector, a new architecture for data acquisition and quality assurance, development of existing mechanisms and consolidation of them in the CFP system are needed. Additional research is needed regarding emissions from agricultural production

    Developing Product Environmental Footprint Category Rules for Olive Oil

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    In the context of the Communication “Building the Single Market for Green Products”, the European Commission (EC) recommends a method to measure the environmental performance of products, named the Product Environmental Footprint. The PEF is a multi-criteria measure of the environmental performance of goods and services from a life cycle perspective. Currently, 25 pilot projects test the development of Product Environmental Footprint Category Rules (PEFCRs) for various products. This paper gives an overview of the process of developing the PEFCR for olive oil. An overview of the methods of the PEF screening study that aims at identifying the most relevant environmental impacts, processes and elementary flows are presented. The screening study assesses the impacts of the average olive oil consumed in the European markets.JRC.H.8-Sustainability Assessmen

    A commentary on key methodological developments related to nutritional life cycle assessment (nLCA) generated throughout a 6-year strategic scientific programme

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    Rothamsted Research (RRes) is the world's oldest agricultural research centre, notable for the development of the first synthetic fertilizer (superphosphate) and long-term farming experiments (LTEs) spanning over 170 years. In 2015, RRes recruited several life cycle assessment (LCA) experts and began adopting the method to utilize high resolution agronomical data covering livestock (primarily ruminants), grassland/forage productivity and quality, and arable systems established on its North Wyke Farm Platform (NWFP) and the LTEs. The NWFP is a UK ‘National Bioscience Research Infrastructure’ (NBRI) developed for informing and testing systems science utilising high-resolution data to determine whether it is possible to produce nutritious food sustainably. Thanks largely to the multidisciplinary knowledge at RRes, and its collaborators, its LCA Team has been at the forefront of methodological advances during a 6-year Institute Strategic Programme (ISP) ‘Soil-to-Nutrition’ (S2N). While S2N investigated the co-benefits and trade-offs of new mechanistic understanding of efficient nutrient use across scales from pot to landscape, this commentary specifically synthesizes progress in incorporating human nutrition in the context of environmental footprinting, known as ‘nutritional LCA’ (nLCA). We conclude our commentary with a brief discussion on future pathways of exploration and methodological developments covering various activities along entire agri-food supply-chains

    Measuring GHG Emissions Across the Agri‐Food Sector Value Chain: The Development of a Bioeconomy Input‐Output Model

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    Increasing food production to meet rising global demand while minimising negative environmental impacts such as agricultural greenhouse gas (GHG) emissions is one of the greatest challenges facing the agri‐food sector. Sustainable food production relates not only to primary production, but also has wider value chain implications. Aninput‐output (IO) model is a modelling framework which contains information on the flow of goods and services across a value chain at a regional or national economy level. This paper provides a detailed description of the development of a Bioeconomy IO (BIO) model which is disaggregated across the subs‐sectors of the agri‐food valuechain and environmentally extended (EE) to examine environmental outputs, including GHG emissions, We focus on Ireland, where emissions from agriculture comprise 33% of national GHG emissions and where there has been a major expansion and transformation in agriculture supported by national and EU policy. In a substantial Annex to this paper, we describe the modelling assumptions made in developing the BIO model. Breaking up the value chain into components, we find that most value is generated at the processing stage of the value chain, with greaterprocessing value in more sophisticated value chains such as dairy processing. On the other hand, emissions are in general highest in primary production, albeit emissions from purchased animal feed are higher for poultry than for other value chains, given the lower animal based emissions from poultry than from cows or sheep. The level ofdisaggregation also shows that the sub‐sectors are themselves discrete value chains. The analysis highlights that emissions per unit of output are much higher for beef and sheep meat value chains than for pig and poultry. The analysis facilitated by the BIO model also allows for the mapping of emissions along the agri‐food value chain using the adapted IO EE approach. Such analysis is valuable in identifying emissions ‘hot‐spots’ along the value chains and analysing potential avenues for emission efficiencies
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