• Energy Research

Many of the techniques for making decisions, including land use, depend on the weight assigned for each criterion. These criteria can be based on a panel of experts’ opinions, who assess certain decisions’ influence on the final objectives. These opinions should be contrasted to decide if they are used or select the ones used to achieve an internal coherence. In this study, we evaluate the responses provided by an expert panel in the context of future environmental management of an agroforestry territory in the Salta Province (Argentina). The experts belong to different entities in the studied area, such as Universities, Research Centers, Administrative Authorities, Associations, and non-governmental organizations. They evaluated five productive techniques’ influence on 31 criteria related to environmental, social, and economic consequences. The Kendall’s Tau correlation coefficient between each pair of experts’ opinions is proposed to measure the rate of agreement among the expert panel answers. From these coefficients, a concordance matrix is generated. Based on this matrix, dendrograms are created to group the experts. In this case study, the results show two productive techniques with a high discordance rate, while the other three have a higher agreement among the expert panelists. The influence of these results in a multicriteria decision about the productive use of land is evaluated.

Land use planning involves making an appropriate decision and selecting a use over other alternatives. A step-by-step methodology was developed to evaluate the optimal combination of regional land use technologies and the spatial allocation. For a realistic approach, a case study (specifically Rivadavia department, Salta, Argentina) is considered, which has deforestation problems and the advance of intensive and extractive agriculture. Five management techniques are considered for the area: precision agriculture (T1), advance livestock farming (T2), payment for ecosystem service (T3), traditional agriculture–livestock farming—Criollo (T4), and traditional forest management—Wichi (T5). A land evaluation on a GIS model is carried out to obtain the land suitability for each technique. Analyzing local experts’ opinions using the Markowitz portfolio methodology allows us to obtain an optimal combination of techniques. Finally, a Simplex method analysis linked with the GIS is performed to allocate the five techniques over the territory maximizing land suitability and in compliance with percent surface assignments. The result assigns each GIS polygon to a specific technique, reaching optimal land suitability in 92% of the territory. Natural capital and social attributes had a significant and complex impact on technology choice, but objective and optimized approaches in their allocation were possible and provides valuable information to guide public policies.

Wind power can play an interesting role in irrigation projects in different areas. A methodology can determine the feasibility of the technology and the levels of daily irrigation demand satisfied by windmills at different levels of risk, using tomato (Lycopersicon esculentum Mill) as greenhouse crop. The present work compared the feasibility of the technology and the critical factors involved in three different countries: Cuba, Spain and Pakistan. The study considered as factors the wind speed level, the energy cost, the tomato prices, the reliability and distance to the electrical grid, and the crop development dates, determining the economic feasibility for each combination of factors in each country.

AbstractDrylands (hyperarid, arid, semiarid, and dry subhumid ecosystems) cover almost half of Earth’s land surface and are highly vulnerable to environmental pressures. Here we provide an inventory of soil properties including carbon (C), nitrogen (N), and phosphorus (P) stocks within the current boundaries of drylands, aimed at serving as a benchmark in the face of future challenges including increased population, food security, desertification, and climate change. Aridity limits plant production and results in poorly developed soils, with coarse texture, low C:N and C:P, scarce organic matter, and high vulnerability to erosion. Dryland soils store 646 Pg of organic C to 2 m, the equivalent of 32% of the global soil organic C pool. The magnitude of the historic loss of C from dryland soils due to human land use and cover change and their typically low C:N and C:P suggest high potential to build up soil organic matter, but coarse soil textures may limit protection and stabilization processes. Restoring, preserving, and increasing soil organic matter in drylands may help slow down rising levels of atmospheric carbon dioxide by sequestering C, and is strongly needed to enhance food security and reduce the risk of land degradation and desertification.

Global and European diets have shifted towards greater consumption of animal proteins. Recent studies urge reversals of these trends and call for a rapid transition towards adoption of more plant-based diets. This paper explored mechanisms to increase the production and consumption of plant-proteins in Europe by 2030, using participatory backcasting. We identified pathways to the future (strategies), as well as interim milestones, barriers, opportunities and actions, with key European stakeholders in the agri-food chain. Results show that four strategies could be implemented to achieve the desired future: increased research and development, enriched consumer education and awareness, improved and connected supply and value chains and public policy supports. Actions needed to reach milestones were required immediately, reinforcing the need for urgent actions to tackle the protein challenge. This study concretely detailed how idealized dietary futures can be achieved in a real-world context. It can support EU protein transition by informing policy makers and the broader public on potential ways to move towards a more sustainable plant-based future. The outputs of this analysis have the potential to be combined with dietary scenarios to develop more temporally explicit models of future dietary changes and how to reach them.