Assessing the environmental impacts of beef production chains integrating grazing and landless systems.

Livestock production systems contribute significantly to environmental impacts at the global level, and meat consumption is projected to increase with the population. There is a need to reduce the impact of food production, including that from beef systems. Different production systems, ranging from traditional grazing to landless systems, coexist within the beef sector. Among these, mixed systems have emerged as a promising alternative. These mixed systems typically involve adult cattle in grazing systems alongside fattening calves in landless systems, potentially achieving higher productivity while reducing the overall environmental impacts. The first step towards proposing mitigation strategies involves identifying the impacts of the sector. This study aimed to estimate the main environmental impacts of four types of mixed beef systems based on the origin of the calves that are raised, fattened, and slaughtered. Using life cycle assessment, the study evaluated the environmental impacts from the cradle to the slaughterhouse gate, expressed per kilogram of carcass weight. The four systems assessed include suckler cow farms that fatten their own offspring (beef single farm, BSF), a system in which calves raised on a suckler farm are fattened on a different farm (beef fattening unit, BFU), and systems in which dairy calves are fattened on growing units, with calves either from Spain (dairy national, DN) or from farms located abroad (dairy abroad, DA). Primary data were obtained from representative surveys of farmers and slaughterhouses, and allocation between co-products was performed according to the updated guidelines of Environmental Product Declarations and the Product Category Rules for meat. Seven environmental impact categories were assessed: climate change, marine eutrophication, freshwater eutrophication, stratospheric ozone depletion, terrestrial acidification, photochemical ozone formation on ecosystems, and photochemical ozone formation on human health. The results indicate that meat production from BSF and BFU has greater environmental impacts than that from DN and DA systems, primarily due to the lower environmental burden allocated to dairy calves, whereas the contribution of slaughterhouse activities to the environmental impacts was minimal. This study highlights the importance of mitigating the environmental impacts associated with feed production, enteric fermentation, and manure management in beef systems. Future studies should consider potential environmental benefits of grazing animals such as carbon sequestration and biodiversity promotion.

From farm accountancy data to environmental indicators: Assessing the environmental performance of Spanish agriculture at a regional level.

Understanding the environmental impacts of current agricultural practices is a starting point for transitioning towards sustainable agriculture, which is a goal to be achieved by the European Union. This study aims to provide a set of environmental impact indicators with which to assess and compare the environmental performance of a broad group of agricultural reference holdings at the Spanish NUTS 2 level. A life cycle assessment approach based on statistical data on farm accountancy is applied. The unit of analysis is a reference holding on which a specific crop is grown in a NUTS 2 and follows a specific management system (open-field irrigated, open-field rainfed, or greenhouse). The system boundaries are set at the farm gate, and the impact results are expressed per 1 € of net value added. For most reference holdings, the EF scores per net value added are similar regardless of their EF scores per kg commodity, suggesting a correspondence between the use of resources and the economic results. The environmental footprint is clustered into four groups. The first one accounts for 78 % of the sample and represents the holdings with the lowest impact (between 9.7·10-5 and 2.88·10-3 EF score·NVAfc-1); the second cluster groups seven reference holdings (3 herbaceous and 4 Mediterranean perennial crops) with an environmental footprint of between 3.04·10-3 and 9.01·10-3 EF score·NVAfc-1; the third group comprises four irrigated herbaceous crops holdings with the highest impact (between 1.37·10-2 and 2.13·10-2 EF score·NVAfc-1); and the last group corresponds to the holdings with economic losses (mostly herbaceous and two Mediterranean perennial crops). This research highlights the challenge of improving the competitiveness and profitability of Spanish farming. In this way, agricultural practices that generate environmental impacts without achieving their economic goals would be avoided.

Dataset to monitor regionalised environmental impacts of the main agricultural products in Spain.

Estimating the average environmental impacts of a representative crop in a specific region is a helpful starting point from which to propose improvements in the agricultural sector. However, data collection from official representative sources is complex, and often they require subsequent treatment to be transformed into meaningful inventory data. This article shows a comprehensive dataset for obtaining inventory data and developing an environmental life cycle impact assessment of representative agricultural production corresponding to reference holdings at a regional level (NUTS 2) in Spain. The dataset comprises Excel files with the data compiled from secondary sources to be used in the assessment and the R code scripts to transform the data into relevant inventory data to estimate the environmental impacts of the reference holdings. This dataset is a reliable tool for researchers and other potential users to be used as a secondary information source for further studies. It can also be used to estimate the environmental impacts of the farming activity of agri-food products in other regions or countries by collecting similar data for the specific region and adjusting the R code.

An approach to regionalise the life cycle inventories of Spanish agriculture: Monitoring the environmental impacts of orange and tomato crops.

Agricultural life cycle assessment (LCA) at the sub-national regional level may be a valuable input for the decision-makers. Obtaining representative and sufficient data to develop life cycle inventories (LCIs) at that level is a relevant challenge. This study aims to contribute to the development of LCIs representative Spanish crops based on economic and operational information available in official sources to assess the average environmental impacts of these crops in the main producing regions. A comprehensive approach is proposed considering both the temporal variability and uncertainty of input data by using different methods (e.g. linear programming, weighted averages, Monte Carlo simulation, forecasted irrigation, etc.) to estimate the inventory data of reference holdings. From these inventories, the environmental assessment of those reference holdings is carried out. Two case studies are developed, on orange and tomato crops in the main producing regions, where climate change (CC), freshwater scarcity (WS), human toxicity non-cancer (HTnc), and freshwater ecotoxicity (ET) are evaluated. The environmental scores obtained differ significantly from region to region. The highest environmental scores of orange reference holdings correspond to Comunidad Valenciana for CC (1.94·10-1 kg CO2 eq.) HTnc (4.16·10-11 CTUh) and ET (7.45·10-3 CTUe), and to Andalucia in WS (17.4 m3 world eq.). As to greenhouse tomatoes, the highest scores correspond to Comunidad Valenciana in the four categories analysed (CC = 3.18 kg CO2 eq., HTnc = 3.6·10-9 CTUh, ET = 1.5 CTUe and WS = 13.3 m3 world eq.). The environmental scores estimated in this study are consistent with the literature, showing that the approach is useful to obtain a representative description of the environmental profile of crops from official statistical data and other information sources. Widening the data gathered in ECREA-FADN, and also that from other data sources used, would increase the quality of the environmental impact estimation.

Multi-season environmental life cycle assessment of lemons: A case study in south Uruguay.

Lemons are a relevant agricultural commodity in Uruguay, mainly exported for fresh consumption. Food eco-labels are on the rise worldwide as consumers and authorities are increasingly demanding them. However, there is a lack of scientific studies estimating the environmental impacts of Uruguayan citrus production. This study aims to assess the environmental performance of lemon production in Uruguay taking into account inter-seasonal variability by applying the Life Cycle Assessment (LCA) methodology and following the Environmental Product Declarations (EPDs) guidelines. A cradle-to-farm gate assessment was carried out based on both mass and spatial functional units. Primary data was gathered from a representative orchard of the region for four harvest seasons (2016-2020). Environmental impact categories recommended by EN 15804 + A2 standard were assessed. Specifically, blue water scarcity was assessed using the AWARE method. In addition, human and freshwater ecotoxicity were assessed using USEtox. Results show that on-field emissions and input production are critical for most of the categories assessed (on average, 84% CC, 88% Ac, 98% MEu, and 85% TEu), whereas blue water consumed for irrigation is the main hotspot in blue water scarcity (86%, on average). As expected, inter-seasonal impacts present higher variability when expressing results per tonne vs. per hectare because, although agricultural inputs applied are the same, climatic variability influences water requirements and also affects yield. Blue water scarcity exhibits the highest variability because water consumption depends strongly on agroclimatic conditions, mainly on rain and irrigated water and on water dynamics in soil. Nitrate leaching is a key emission for freshwater eutrophication and, to a minor degree, for climate change, which also depends on the water dose and timing, either from rain or irrigation. Optimising the N application is crucial to minimise on-field emissions, a hotspot in the present study. Along these lines, improved agricultural practices are suggested to enhance the environmental profile of Uruguayan lemons. Replacement or minimisation of the dose of certain inputs (e.g., copper oxide) through the implementation of complementary agricultural practices is suggested. Finally, up-to-date techniques to decrease blue water scarcity are proposed. Methodological recommendations for future studies include modelling N emissions using mechanistic models, incorporating potential reductions in N emissions due to certain agricultural practices, and harmonizing the methodology to quantify water consumption. This study sets a baseline LCA for Uruguayan citrus fruit production. It highlights inter-seasonal variability as an issue to be considered, even when agricultural practices do not change, and especially relevant in countries with high climatic variability like Uruguay. The study also provides scientific and quantitative evidence to support the environmental decisions of both citrus producers and consumers.

Assessing the environmental impact of Spanish vineyards in Utiel-Requena PDO: The influence of farm management and on-field emission modelling.

Environmental studies into wine from different protected designations of origin (PDO) highlight farming and packaging stages as those contributing the most to the total environmental impacts of this product. However, farming impact, not only depends on the agricultural practices but also on data quality and modelling complexity. By using the life cycle assessment methodology, a twofold goal is aimed. Firstly, to analyse the environmental profile of the most widespread viticultural practices in the Utiel-Requena PDO (Spain). The second aim is to evaluate the differences between the environmental impacts estimated by means of modelling approaches using generic information (Baseline modelling) versus those using site-specific information (Alternative modelling). As regards the agricultural practices and grape cultivars, eight systems were defined and assessed per kg of grape at the farm gate. The differences between farming systems and modelling approaches were statistically assessed. The results show that, regardless of the grape cultivar, organic systems are more environmentally friendly than the conventional ones (on average, the greatest differences occur in the ionizing radiation, marine eutrophication and land use, being the values for organic vineyards 1678%, 648% and 171% lower than those of the conventional ones, respectively), the results for the Bobal cultivar being better than those for the Tempranillo because of the higher yield (differences in yield around 1.500 kg ha-1). The use of site-specific modelling approaches guarantees the precision of the analysis; however, for some impact categories, namely climate change, fine particulate matter formation, marine eutrophication and terrestrial acidification, the possibility of using general methodologies is open; in this way, the modelling efforts can be minimised, and the results would be consistent with those of more specific methodologies. The results also underline the need for a consensus within LCA practitioners on which methodologies to use in order to estimate on-field emissions taking into account both complexity reduction and accuracy improvement.

Closing data gaps for LCA of food products: estimating the energy demand of food processing.

Food is one of the most energy and CO2-intensive consumer goods. While environmental data on primary agricultural products are increasingly becoming available, there are large data gaps concerning food processing. Bridging these gaps is important; for example, the food industry can use such data to optimize processes from an environmental perspective, and retailers may use this information for purchasing decisions. Producers and retailers can then market sustainable products and deliver the information demanded by governments and consumers. Finally, consumers are increasingly interested in the environmental information of foods in order to lower their consumption impacts. This study provides estimation tools for the energy demand of a representative set of food process unit operations such as dehydration, evaporation, or pasteurization. These operations are used to manufacture a variety of foods and can be combined, according to the product recipe, to quantify the heat and electricity demand during processing. In combination with inventory data on the production of the primary ingredients, this toolbox will be a basis to perform life cycle assessment studies of a large number of processed food products and to provide decision support to the stakeholders. Furthermore, a case study is performed to illustrate the application of the tools.

Life cycle toxicity assessment of pesticides used in integrated and organic production of oranges in the Comunidad Valenciana, Spain.

The relative impacts of 25 pesticides including acaricides, fungicides, herbicides, insecticides, and post-harvest fungicides, used in the production of oranges in Spain were assessed with current life cycle impact assessment (LCIA) tools. Chemical specific concentrations were combined with pesticide emission data and information on chemical toxicity to assess human toxicity and freshwater ecotoxicity impacts. As a case study, the relative impacts of two orange production systems in the region of Valencia, integrated pest management (IP) and organic production (OP), were assessed. The evaluation of active ingredients showed that on average acaricides have the highest human toxicity impact scores, while for freshwater ecotoxicity insecticides show the highest impact. In both impact categories the lowest impact scores were calculated for herbicides. In the production of 1 kg of orange fruits, where several kinds of pesticides are combined, results show that post-harvest fungicides can contribute more than 95% to the aggregate human toxicity impacts. More than 85% of aquatic ecotoxicity is generated by fungicides applied before harvest. The potential to reduce impacts on freshwater ecosystems is seven orders of magnitude, while impacts on human health can be reduced by two orders of magnitude. Hence, this stresses the importance of a careful pre-selection of active ingredients. In both impact categories, organic production represents the least toxic pest-control method.