The role of life cycle assessment in supporting sustainable agri-food systems: A review of the challenges

Abstract Life cycle thinking is increasingly seen as a key concept for ensuring a transition towards more sustainable production and consumption patterns. As food production systems and consumption patterns are among the leading drivers of impacts on the environment, it is important to assess and improve food-related supply chains as much as possible. Over the years, life cycle assessment has been used extensively to assess agricultural systems and food processing and manufacturing activities, and compare alternatives "from field to fork" and through to food waste management. Notwithstanding the efforts, several methodological aspects of life cycle assessment still need further improvement in order to ensure adequate and robust support for decision making in both business and policy development contexts. This paper discusses the challenges for life cycle assessment arising from the complexity of food systems, and recommends research priorities for both scientific development and improvements in practical implementation. In summary, the intrinsic variability of food production systems requires dedicated modelling approaches, including addressing issues related to: the distinction between technosphere and ecosphere; the most appropriate functional unit; the multi-functionality of biological systems; and the modelling of the emissions and how this links with life cycle impact assessment. Also, data availability and interpretation of the results are two issues requiring further attention, including how to account for consumer behaviour

The Glasgow consensus on the delineation between pesticide emission inventory and impact assessment for LCA

Purpose: Pesticides are applied to agricultural fields in order to optimise crop yield and their global use is substantial. Their consideration in Life cycle assessment (LCA) is currently affected by important inconsistencies between the emission inventory and impact assessment phases of LCA. A clear definition of the delineation between the product system model (life cycle inventory, technosphere) and the natural environment (life cycle impact assessment, ecosphere) is currently missing and could be established via consensus building. Methods: A workshop held on the 11 May 2013, in Glasgow, UK, back to back with the 23rd SETAC Europe meeting had the goal of establishing consensus and creating clear guidelines where the boundary between the emission inventory and the impact characterisation model should be set in all three spatial dimensions and time when considering application of substances to an open agricultural field or in greenhouses, and consequent emissions to the natural environment and their potential impacts. More than 30 specialists in agrifood LCI, LCIA, risk assessment, and ecotoxicology, representing industry, government, and academia from 15 countries and four continents met to discuss and reach consensus. The resulting guidelines target LCA practitioners, data (base) and characterisation method developers, and decision makers. Results and discussion: Although, the initial goal was to define recommendations concerning boundaries between technosphere and ecosphere, it became clear that these strongly depend on goal and scope of an LCA study. Instead, the focus was on defining a clear interface between LCI and LCIA, capable of supporting any goal and scope requirements while avoiding double counting or exclusion of important emission flows and their potential impacts. Consensus was reached accordingly on distinct sets of recommendations for LCI and LCIA respectively, recommending for example that buffer zones should be considered as part of the crop production system and the change in yield per ha be considered. While the spatial dimensions of the field were not fixed, the temporal boundary between dynamic LCI fate modelling and steady-state LCIA fate modelling needs to be defined. Conclusions and recommendations: For pesticides application, the inventory should report: pesticide identification, crop, mass applied of each active ingredient, application method or formulation type, presence of buffer zones (y/n), location/country, application time in days before harvest and crop growth stage during application, adherence with Good Agricultural Practice (GAP), and whether the field is considered part of the technosphere or the ecosphere. Additionally, emission fractions to defined environmental media on-field and off-field should be reported. For LCIA, the directly concerned impact categories were identified as well as a list of relevant fate and exposure processes. Next steps and future work were identified: 1) establishing default emission fractions to environmental media for integration into LCI databases, and 2) interaction among impact model developers to extend current methods with new elements/processes mentioned in the recommendations, including targeted technical workshops on “how to” model specific processes.JRC.H.8-Sustainability Assessmen

Feasibility assessment of poplar bioenergy systems in the Southern Europe

A detailed reliability assessment of bioenergy production systems based on poplar cultivation was made. The aim of this assessment was to demonstrate the Economic feasibility of implementing poplar biomass production for power generation in Spain. The assessment considers the following chain of energy generation: cultivation and harvesting, and transportation and electricity generation in biomass power plants (10, 25 and 50 MW). Twelve scenarios were analysed in accordance with the following: two harvesting methods (high density packed stems and chip production in the field), two crop distributions around the power plant and three power plant sizes. The results show that the cost of biomass delivered at power plant ranges from 18.65 to 23.96 [euro] Mg-1 dry basis. According to power plant size, net profits range from 3 to 22 million [euro] per yr. Sensibility analyses applied to capital cost at the power plant and to biomass production in the field demonstrate that they do not affect the feasibility of these systems. Reliability is improved if benefits through selling CO2 emission credits are taken into account. This study clears up the Economic uncertainty of poplar biomass energy systems that already has been accepted as environmentally friendlier and as offering better energetic performance.Energy crops Supply chain Power plant Final biomass cost

How well does LCA model land use impacts on biodiversity?—A comparison with approaches from ecology and conservation

The modeling of land use impacts on biodiversity is considered a priority in life cycle assessment (LCA). Many diverging approaches have been proposed in an expanding literature on the topic. The UNEP/SETAC Life Cycle Initiative is engaged in building consensus on a shared modeling framework to highlight best-practice and guide model application by practitioners. In this paper, we evaluated the performance of 31 models from both the LCA and the ecology/conservation literature (20 from LCA, 11 from non-LCA fields) according to a set of criteria reflecting (i) model completeness, (ii) biodiversity representation, (iii) impact pathway coverage, (iv) scientific quality, and (v) stakeholder acceptance. We show that LCA models tend to perform worse than those from ecology and conservation (although not significantly), implying room for improvement. We identify seven best-practice recommendations that can be implemented immediately to improve LCA models based on existing approaches in the literature. We further propose building a “consensus model” through weighted averaging of existing information, to complement future development. While our research focuses on conceptual model design, further quantitative comparison of promising models in shared case studies is an essential prerequisite for future informed model choice.JRC.D.1-Bio-econom

Red Temática “Estudio de la disponibilidad de rocas silíceas para la producción de instrumental lítico en la prehistoria”

III Reunión de trabajo sobre aprovisionamiento de recursos abióticos en la prehistoria, celebrada en Loja (Granada) en 2004.La contribución que aporta este trabajo puede resultar un tanto peculiar al no corresponder a la presentación de los resultados obtenidos a partir del estudio de un registro arqueológico particular. Se trata más bien de presentar una iniciativa reciente, que tiene que ver con el diseño de una estrategia colectiva de investigación en torno a la explotación prehistórica de recursos abióticos de naturaleza silícea en el marco del nordeste peninsular.Peer reviewe

LC-IMPACT: a regionalized life cycle damage assessment method

Life cycle impact assessment (LCIA) is a lively field of research, and data and models are continuously improved in terms of impact pathways covered, reliability, and spatial detail. However, many of these advancements are scattered throughout the scientific literature, making it difficult for practitioners to apply the new models. Here, we present the LC‐IMPACT method that provides characterization factors at the damage level for 11 impact categories related to three areas of protection (human health, ecosystem quality, natural resources). Human health damage is quantified as disability adjusted life years, damage to ecosystem quality as global species extinction equivalents (based on potentially disappeared fraction of species), and damage to mineral resources as kilogram of extra ore extracted. Seven of the impact categories include spatial differentiation at various levels of spatial scale. The influence of value choices related to the time horizon and the level of scientific evidence of the impacts considered is quantified with four distinct sets of characterization factors. We demonstrate the applicability of the proposed method with an illustrative life cycle assessment example of different fuel options in Europe (petrol or biofuel). Differences between generic and regionalized impacts vary up to two orders of magnitude for some of the selected impact categories, highlighting the importance of spatial detail in LCIA. This article met the requirements for a gold – gold JIE data openness badge described at http://jie.click/badges.JRC.D.1-Bio-econom