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    Identifying environmental impacts linked to the production of plant-based spreads in Peru using life cycle assessment
    (Elsevier B.V., 2024-06-01)
    Plant-based spread products, such as margarine, are made up of a combination of diverse ingredients, many times arriving from different parts of the world. This makes their environmental impact challenging to compute. In Latin America, despite efforts in recent years to enlarge the number of food items that have been analyzed from an environmental perspective, many processed products remain unexplored. In this context, the main objective of the current study was to determine the environmental impacts of a set of five plant-based spread products in Peru using life cycle assessment. For this, primary data were collected from the main margarine producer up to the gate of the agroindustrial plant ready for distribution. Methodological choices, such as allocation, the computation of land use changes (LUCs) or agricultural management variability, were an important subset of variables to be considered in the life cycle modeling and accounted for through scenario and sensitivity analyses. Results demonstrated that greenhouse gas (GHG) emissions related to margarine production in Peru range from 1.66 to 6.00 kg CO2eq per kilogram of product, in a similar range to other studies in the literature. LUCs accounted for the highest contribution to GHG emissions, whereas crude oil extraction, as well as on field fertilizer emissions were the other main contributors. In other impact categories, plant protection agents were relevant in toxicity indicators, fertilization in eutrophication and transport in air quality-related categories. These results constitute a benchmark for the production of plant-based products in Latin America and are useful for attaining cleaner production, as well as for the optimization of ingredients and packaging design.
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    Understanding the evolution of cities through urban stocks: A comparative analysis of Andean and coastal urban areas in Peru
    (John Wiley and Sons Inc, 2024-08-01)
    The evolution of cities follows distinct patterns that connect to the cultural and socioeconomic aspects of their populations and can be understood by studying their urban stocks. This paper examines the evolution of construction materials stocks (MS) in the building sector in five urban areas in Peru. The study employed a bottom-up methodology and focused on the city of Abancay in the Peruvian Andes, comparing it to the coastal cities of Chiclayo, Tacna, and San Isidro, as well as Lince. Additionally, regression models were employed to examine the influence of socioeconomic factors associated with urban stock. The research highlights a transition from residential building stock to distinct patterns of socioeconomic development, with urban population and economic growth emerging as pivotal drivers of material stock variation. Notably, large coastal cities like Chiclayo, Tacna, San Isidro, and Lince exhibit significantly higher concrete MS per capita, albeit with varying growth rates. In contrast, Abancay, with lower income levels, displays a higher per capita level of adobe MS, reflecting its historical connection to Peru's heartland. The correlation of urban stock components with the human development index (HDI) emphasizes the latter's significance in understanding the trends of the stocks of the different construction materials that constitute a city. By examining MS in various locations, unique Peruvian traits are unveiled, offering insights for urban development in the Global South. These findings provide valuable guidance for aligning urban stock growth and related environmental burdens with socioeconomic development, fostering sustainability, and promoting rational planning for economic growth.
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    Applying the multi-dimensional damage assessment (MDDA) methodology to the Cumbre Vieja volcanic eruption in La Palma (Spain)
    (Springer Science and Business Media B.V., 2024-12-01)
    Volcanic events with an important affectation of urban areas and other land areas with important human activity have been rare in Europe in the past century. This has led to a lack of comprehensive analysis of the social, economic and environmental damages that these types of events can cause on specific human communities. In the present study, we apply an industrial ecology approach to calculate the damage linked to the Cumbre Vieja volcanic eruption in the Canary Islands in September 2021. Therefore, the main objective was to apply the multi-dimensional damage assessment (MDDA) methodology to quantify the degree of damage that has been exerted by the eruption in the island of La Palma (Spain) through the inclusion of environmental damage endpoints with other sustainable development variables (i.e., social and economic dimensions). Data were obtained from different sources, including the cadastre of La Palma, local data on derived health, as well as data obtained from the global ecosystem dynamics investigation of NASA, among other sources. Thereafter, damage endpoints were all converted to disability-adjusted life years (DALYs). Results show that direct gaseous emissions from the volcano were responsible for a significant amount of total DALYs, above 90% in all scenarios, followed by damage linked to economic losses, as well as social losses related to morbidity. Other environmental damages played a minor part in the total damage exerted by the volcano. The results demonstrate the importance of air quality indicators in the aftermath of an eruption in densely populated areas; in contrast, the impact associated with infrastructure loss played a minor role in total damage. Although challenges remain when providing a holistic quantification of total damage linked to volcanic disasters, the MDDA method constitutes a promising systematic standardized and transparent damage quantification tool that allows computing a deterministic damage evaluation that can aid in natural hazard risk assessment. In fact, it is considered that the method has the potential to be used as a holistic decision tool to aid in mitigating disaster risk.
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    La Pampilla oil spill in central coastal Peru: A multi-dimensional damage assessment
    (Elsevier BV, 2026-06-01)
    Oil spills represent significant environmental disasters with far-reaching impacts on marine ecosystems, coastal communities, and local economies. There is a need to assess in a holistic manner the impacts of oil spills around the world. Thus, the main objective of the study was to extend the multi-dimensional damage assessment (MDDA) framework to marine oil spill disasters by incorporating ecosystem quality impact categories alongside traditional human health and socioeconomic indicators. The La Pampilla oil spill in Lima, Peru, in January 2022 was used to apply the MDDA methodology to quantify the environmental, economic and social damage caused. Data were obtained from multiple sources, including Peruvian government agencies, academic studies, and affected community organizations. Damage endpoints were converted to disability-adjusted life years (DALYs) following established MDDA protocols. Results show that economic damage represented the highest burden (18,925 DALYs), followed by social damage (14,872 DALYs). Environmental damage, however, was found to be marginal as compared to the other two dimensions, unlike other disaster events measured with MDDA in scientific literature (e.g., flooding events). The fishing sector experienced complete paralysis affecting 5,000 artisanal fishermen, while tourism losses resulted from the closure of 48 beaches. Total economic losses reached USD 4,500 million, representing approximately 2% of Peru's 2022 GDP. The MDDA framework proves effective in capturing the multi-dimensional nature of the damage derived from oil spill disasters, revealing that at moderate intensities coastal community livelihoods and mental health constitute the primary burden of marine oil spill disasters.
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