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Edible Protein Energy Return on Investment Ratio (ep-EROI) for Spanish Seafood Products

Author(s): Ian Vázquez Rowe y otros

(Español) Life cycle assessment (LCA) has developed into a useful methodology to assess energy consumption of fishing fleets and their derived seafood products, as well as the associated environmental burdens. In this study, however, the life cycle inventory data is used to provide a dimensionless ratio between energy inputs and the energy provided by the fish: the edible protein energy return on investment (ep-EROI). The main objective was to perform a critical comparison of seafood products landed in Galicia (NW Spain) in terms of ep-EROI. The combination of energy return on investment (EROI) with LCA, the latter having standardized mechanisms regarding data acquisition and system boundary delimitation, allowed a reduction of uncertainties in EROI estimations. Results allow a deeper understanding of the energy efficiency in the Galician fishing sector, showing that small pelagic species present the highest ep-EROI values if captured using specific fishing techniques. Finally, results are expected to provide useful guidelines for policy support in the EU’s Common Fisheries Policy.

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Comparative life cycle assessment study of three winter wheat production systems in the European Union

Author(s): Ian Vázquez Rowe y otros

(Español) Three different winter wheat production systems for three European countries (United Kingdom, France and Italy), all with different climatic conditions, soil management and input levels (e.g. tillage, fertilizers, herbicides and pesticides) were analysed from an environmental perspective. The intended applications were the analysis and comparison from a Life Cycle Assessment (LCA) perspective and the identification of the key parameters which have the greatest influence on final results. The analysis considered the entire production system, including the extraction of raw materials, production of farming inputs and all agricultural operations. The adoption of LCA was considered the most appropriate methodology to define the environmental impact. The functional unit considered was 1 hectare of winter wheat production. The results showed that the impact due to machinery use was mostly dependent on the number of interventions related to the application of fertilizers, herbicides and plant protection. Emissions due to on-field fertilizer application and their production also showed a significant contribution for each impact category showing percentages reaching 90% of the total, whereas the impact due to fungicides and herbicides were negligible, since their contribution never exceeded 4% of the total emissions. Emissions to soil, air and water were affected by factors such as local weather conditions and soil characteristics, which can vary on a local scale, the time of farming activities, N, P and K uptake by the plants, amount and typology of fertilizers adopted. Nitrate losses from arable cropping may be reduced by limiting N-based fertilizer inputs.

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Application of three independent consequential LCA approaches to the agricultural sector in Luxembourg

Author(s): Ian Vázquez Rowe y otros

(Español) Purpose: Consequential Life Cycle Assessment (C-LCA) is a “system modelling approach in which activities in a product system are linked so that activities are included in the product system to the extent that they are expected to change as a consequence of a change in demand”. Hence, C-LCA focuses on micro-economic actions linked to macro-economic consequences, by identifying the (marginal) suppliers and technologies prone to be affected by variable scale changes in the demand of a product. Detecting the direct and indirect environmental effects due to changes in the production system is not an easy task. Hence, researchers have combined the consequential perspective with different econometric models. Therefore, the aim of this study is to assess an increase in biocrops cultivation in Luxembourg using three different consequential modelling approaches to understand the benefits, drawbacks and assumptions linked to each approach as applied to the case study selected. Methods: Firstly, a partial equilibrium (PE) model is used to detect changes in land cultivation based on the farmers’ revenue maximisation. Secondly, another PE model is proposed, which considers a different perspective aiming at minimising a total adaptation cost (so-called opportunity cost) to satisfy a given new demand of domestically produced biofuel. Finally, the consequential system delimitation for agricultural LCA approach, as proposed by Schmidt (Int J Life Cycle Assess 13:350–364, 2008), is applied. Results and discussion: The two PE models present complex shifts in crop rotation land use changes (LUCs), linked to the optimisation that is performed, while the remaining approach has limited consequential impact on changes in crop patterns since the expert opinion decision tree constitutes a simplification of the ongoing LUCs. However, environmental consequences in the latter were considerably higher due to intercontinental trade assumptions recommended by the experts that were not accounted for in the economic models. Environmental variations between the different scenarios due to LUCs vary based on the different expert- or computational-based assumptions. Finally, environmental consequences as compared with the current state-of-the-art are lame due to the limited impact of the shock within the global trade market. Conclusions: The use of several consequential modelling approaches within the same study may help widen the interpretation of the advantages or risks of applying a specific change to a production system. In fact, different models may not only be good alternatives in terms of comparability of scenarios and assumptions, but there may also be room for complementing these within a unique framework to reduce uncertainties in an integrated way.

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Carbon footprint analysis of goose barnacle (Pollicipes pollicipes) collection on the Galician coast (NW Spain)

Author(s): Ian Vázquez Rowe y otros

(Español) Goose barnacles constitute an important market product in Spain, where they are considered a top seafood attraction in first-class restaurants. However, their environmental sustainability has not been explored beyond the implementation of co-management schemes to avoid overexploitation. Therefore, the main objective of this article is to understand the environmental implications of goose barnacles in terms of carbon footprint (CF), in the wake of recent studies which have highlighted the importance that fishing systems can have on climate change, as well as to facilitate accountability concerning CF reduction policies for stakeholders and consumers. Results for the six scenarios under analysis showed substantial changes depending on the harvesting area and especially on the means of transport chosen, since this intertidal species can be accessed by land or by sea. The average CF per kg of harvested barnacles ranged from 0.64 kg CO2 equiv. to over 11 kg CO2 equiv., showing substantially higher CF values whenever the resource was accessed by sea. The wide CF gap observed between harvesting carried out on foot or by sea suggests that different management schemes should be implemented for each of the two methods in terms of environmental monitoring, as well as different strategies concerning environmental transparency and reporting.

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Life Cycle Assessment Based Evaluation of Regional Impacts from Agricultural Production at the Peruvian Coast

Author(s): Karin Bartl y otros

(Español) Crop and technology choices in agriculture, which largely define the impact of agricultural production on the environment, should be considered in agricultural development planning. A life cycle assessment of the dominant crops produced in a Peruvian coastal valley was realized, in order to establish regionalized life cycle inventories for Peruvian products and to provide the basis for a regional evaluation of the impacts of eutrophication, acidification, human toxicity, and biodiversity loss due to water use. Five scenarios for the year 2020 characterized by different crop combinations and irrigation systems were considered as development options. The results of the regional assessment showed that a business-as-usual scenario, extrapolating current trends of crop cultivation, would lead to an increase in nitrate leaching with eutrophying effects. On the other hand, scenarios of increased application of drip irrigation and of mandarin area expansion would lead to a decrease in nitrate leaching. In all scenarios the human toxicity potential would decrease slightly, while an increase in irrigation water use would benefit the biodiversity of a nearby groundwater-fed wetland. Comparisons with results from other studies confirmed the importance of regionalized life cycle inventories. The results can be used as decision support for local farmers and authorities.

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Materials flow analysis of e-waste: Domestic flows and exports of used computers from the United States

Author(s): Ramzy Kahhat Abedrabbo y otros

(Español) The management of electronic waste (e-waste) presents new sustainability challenges, prominent among these is informal electronic recycling in the developing world fed by both international and domestic sources. There is a need to mitigate environmental impacts of informal recycling while maintaining social and economic benefits of refurbishment and reuse. The development of appropriate social responses is hindered by critical data gaps, which include lack of data on trade flows of used and scrap electronics, flows invisible to trade statistics of many countries. We address this data gap by proposing and implementing an approach to quantify the exportation of used and scrap equipment from a particular country or region to the rest of the world. The approach is based on material flow analysis and combines collection of primary survey data from residential and business/public sectors with secondary data from available recycling, landfill and computer adoption studies. Exports are estimated through materials balance: exports = generated − reuse − recycling − landfill. The proposed methodology is implemented in a case study of desktop (excluding monitors) and laptop computers in the United States (US) in 2010. Results indicate that 40 million used and scrap computers entered the end-of-life management sector, from which 30% were reused domestically, 6–29% were exported, 17–21% were landfilled in domestic sites and 20–47% were collected for domestic recycling in 2010. The range in results reflects uncertainty arising from inferring end-of-life fate from individual and institutional users. Given sufficient resources to conduct a survey, the proposed materials flow analysis method can be widely applied to other devices and nations.

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Modeling the Local Biodiversity Impacts of Agricultural Water Use: Case Study of a Wetland in the Coastal Arid Area of Perú

Author(s): Karin Bartl y otros

(Español) Global water use is dominated by agriculture and has considerable influence on people’s livelihood and ecosystems, especially in semiarid and arid regions. Methods to address the impacts of water withdrawal and consumption on terrestrial and aquatic ecosystems within life cycle assessment are still sparse and very generic. Regionalized characterization factors (CFs) for a groundwater-fed wetland at the arid coast of Peru are developed for groundwater and surface water withdrawal and consumption in order to address the spatial dependency of water use related impacts. Several agricultural scenarios for 2020 were developed in a workshop with local stakeholders and used for calculating total biodiversity impacts. In contrast to assumptions used in top-down approaches (e.g., Pfister et al. Environ. Sci Technol.2009, 43, 4098), irrigation with surface water leads in this specific region to benefits for the groundwater-fed wetland, due to additional groundwater recharge from surplus irrigation water. However, irrigation with groundwater leads to ecological damage to the wetland. The CFs derived from the different scenarios are similar and can thus be used as general CFs for this region, helping local decision-makers to plan future agricultural development, including irrigation technologies, crop choices, and protection of the wetland.

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Inclusion of discard assessment indicators in fisheries life cycle assessment studies. Expanding the use of fishery-specific impact categories

Author(s): Red Peruana Ciclo de Vida y otros

(Español) Purpose: The main purpose of this article is to propose specific discard indexes for their development in fisheries life cycle assessment (LCA). The objective of these is to characterize and standardize discards in worldwide fisheries. Methods: The global discard index (GDI) is intended to be an easily understood index whose use is extendible to any fishery in the world. It is presented as a dynamic index that aims to characterize and standardize discard rates between fisheries by direct comparison with the global discard rates reported periodically by FAO. Furthermore, a simplified approach excluding characterization is presented for scenarios in which the data quality linked to discards is poor. Two additional indicators, survival rate of discards and slipping, are proposed to improve the reporting and quantification of biomass waste by fishing vessels. Results: GDI implementation, together with two other fishery-specific impact categories, showed remarkable differences in the environmental impacts of several fishing fleets when compared with the obtained results for conventional impact categories. Results for the conventional categories were strongly influenced by the energy use in the fishery, while results obtained for fishery-specific categories presented variable trends due to the dependence on a wider range of factors. GDI inclusion favored direct comparison with worldwide average discard rates on a time scale basis, from a wet weight or a net primary productivity perspective, depending on the selected approach. Conclusions: Proposed indicators achieved the important objective of integrating discard data as a fishery-specific impact in fishery LCAs, increasing the benefits of implementing LCA in fisheries assessment. Specific advantages of these indicators include assessing changes in capture and landing composition, evaluating the selectivity of the fishing gears, and monitoring the behavior of fisheries in a normalized context respect to other fisheries. GDI was identified as an adequate methodological improvement for regular use in fisheries LCA. Future developments GDI include its harmonization for inclusion in damage assessment.

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