Cradle-to-grave environmental analysis of an alpaca fiber sweater produced in Peru.

Animal fibers are an important raw material for the fashion industry but have recently been discussed due to the environmental impacts related to their production. In order to provide scientific information for decision-making in the Peruvian alpaca sector a cradle to grave carbon footprint of one (01) wear of a 100 % alpaca fiber sweater has been conducted. For the modeling of the fiber procurement stage primary data regarding livestock management and annual production parameters were obtained from interviews with 42 Peruvian alpaca herders from the main producing regions in South and Central Peru. Data for the processing stages (spinning and dyeing, knitting and weaving) were collected by means of interviews and questionnaires from three alpaca fashion companies in Arequipa and Lima. The distribution, use, and end-of-life stages were modeled with secondary data. The resulting carbon footprint of one wear of the alpaca fiber sweater is 0.449 kg CO2 equivalents (CO2e). Most emissions occur during the lifecycle stages of fiber production and distribution (70 % and 14 % of CO2e emissions, respectively). Methane emissions from enteric fermentation account for 87 % of the impact within the fiber procurement stage. The environmental impacts during the distribution stage were dominated by retailing and road transport in the destination countries and export by air and sea (53.1 % and 46.4 % of carbon emissions in this stage, respectively). Other life cycle stages were found to be less relevant emission sources. The study concluded that the main strategies for impact mitigation should focus on improving the efficiency of the fiber procurement systems. Furthermore, several knowledge gaps have been identified and should be addressed by future research regarding methane emissions associated with the main co-products of the livestock systems, ecosystem services in the Andes and especially Andean wetlands and potential mitigation strategies of greenhouse gases related to different pasture management options.

Life cycle assessment based evaluation of regional impacts from agricultural production at the Peruvian coast.

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.

Modeling the local biodiversity impacts of agricultural water use: case study of a wetland in the coastal arid area of Peru.

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.

Characterization of polyoxyalkylene block copolymers by combination of different chromatographic techniques and MALDI-TOF-MS.

Polyoxyalkylene diblock copolymers (consisting of PEO as hydrophilic block and PBO or PHO as hydrophobic block) are characterized by combination of two dimensional liquid chromatography and MALDI-TOF-MS. Liquid chromatography under critical conditions (LCCC) is used as first dimension and fractions are collected, mobile phase evaporated and diluted in the mobile phase used in the second dimension (SEC, LCCC or LAC). This two-dimensional chromatography in combination of MALDI-TOF-MS gives information about purity of reaction products, presence of the byproducts, chemical composition and molar mass distribution of all the products.

Milk fatty acid profile of Peruvian Criollo and Brown Swiss cows in response to different diet qualities fed at low and high altitude.

Two identical experimental protocols were followed at 200 and 3,600 m above sea level (a.s.l.) determining the changes of the milk fatty acid (FA) profile of Brown Swiss (BS) and indigenous Peruvian Criollo cows (CR) as a response to diets which were designed to cover the variation in feed quality caused by season. At each site (altitude), six BS and six CR cows, adapted to > 3,500 m a.s.l., were fed three dietary treatments (DS, dry-season forage; RS rainy-season forage; OC, diet optimised to meet the cow's requirements) in a 2 x 2 x 3-factorial arrangement. Intakes of FA and milk yield increased from diet DS (low quality diet) to RS and OC (high quality diet) for both cow types. Milk fat proportions of conjugated linoleic acid (CLA), C18:3 c9,c12,c15, total n-3 and polyunsaturated FA (PUFA) were highest (p < 0.05) with diet OC and higher in the lowlands than in the highlands. Low intakes of diet DS obviously resulted in a ruminal energy deficiency and body lipid mobilisation. The ruminal energy deficiency with diet DS was especially pronounced in BS, apparently reducing biohydrogenation rate and leading to lower proportions of C18:0 and higher proportions of C18:3 c9,c12,c15 in milk fat (p < 0.05). Especially C18:3 c9,c12,c15 intake did not concur with its proportion in milk fat, suggesting a strong dependence on energy status. Milk yield and FA excretion with milk were higher for BS than for CR (p < 0.05) with all three diets although milk fat content was lower (p < 0.05) for BS than CR. Milk fat of BS was richer in CLA and PUFA than milk fat of CR (p < 0.05). The desaturase indices for 18 FA were also higher for BS than CR (p < 0.05), suggesting a slightly higher delta9-desaturase activity for BS, especially with diet DS. Milk fat content was generally higher at the high altitude than at the lowland site (p < 0.05), whereas the FA profile was unexpectedly similar across sites. Various interactions were found among diet type, cow type and altitude (site) indicating that a combination of these factors contributes to the characteristic FA profile of the respective milk.