In this paper we will describe and present the results of an experiment at the Fontys University of Professional Education in which engineering students work together with students from other disciplines in a multidisciplinary group at the end of their study on a real-life environmental problem outside the university. Since 1994 there has been a possibility for engineering students to graduate in this way, in a multidisciplinary group. First a rough sketch will be given of the background and the educational model. In this sketch attention will be paid to the different role which the student as well as the teacher play in this kind of education. The characteristics of this model will be explained. Then it will be made clear what the results were in the past years with respect to content as well as to the learning of skills. At the end some conclusions will be given.
The increasing rate of urbanization along with its socio-environmental impact are major global challenges. Therefore, there is a need to assess the boundaries to growth for the future development of cities by the inclusion of the assessment of the environmental carrying capacity (ECC) into spatial management. The purpose is to assess the resource dependence of a given entity. ECC is usually assessed based on indicators such as the ecological footprint (EF) and biocapacity (BC). EF is a measure of the biologically productive areas demanded by human consumption and waste production. Such areas include the space needed for regenerating food and fibers as well as sequestering the generated pollution, particularly CO2 from the combustion of fossil fuels. BC reflects the biological regeneration potential of a given area to regenerate resources as well to absorb waste. The city level EF assessment has been applied to urban zones across the world, however, there is a noticeable lack of urban EF assessments in Central Eastern Europe. Therefore, the current research is a first estimate of the EF and BC for the city of Wrocław, Poland. This study estimates the Ecological Footprint of Food (EFF) through both a top-down assessment and a hybrid top-down/bottom-up assessment. Thus, this research verifies also if results from hybrid method could be comparable with top-down approach. The bottom-up component of the hybrid analysis calculated the carbon footprint of food using the life cycle assessment (LCA) method. The top-down result ofWrocław’s EFF were 1% greater than the hybrid EFF result, 0.974 and 0.963 gha per person respectively. The result indicated that the EFF exceeded the BC of the city of Wrocław 10-fold. Such assessment support efforts to increase resource efficiency and decrease the risk associated with resources—including food security. Therefore, there is a need to verify if a city is able to satisfy the resource needs of its inhabitants while maintaining the natural capital on which they depend intact. Original article at: https://doi.org/10.3390/resources7030052 © 2018 by the authors. Licensee MDPI.
MULTIFILE
In light of the current debate on the impact of our current food system on climate changeand related mitigation strategies, addressing the acceptance of sustainability aspects within consumerbehavioral issues is of vital importance. However, the field remains mute on how those strategies canbe designed and employed effectively to stimulate sustainable food consumption behavior. Immersivenarrative design is a promising approach to engaging consumers in this context. Within this study, weshed light on how to create immersive, impactful, interactive narratives in augmented reality (AR)together with consumers. We propose a novel approach to how those stories can be planned, utilizingparticipatory design methods. Within a step-wise process, we develop the storyboard together withconsumers. In the next step, we evaluate multiple approaches with AR application developers onhow this storyline can be enhanced in AR considering the perspective of various stakeholders likedevelopers, behavioral scientists, and consumers. Finally, we propose a conceptual framework for howimmersive narratives can be designed and validated in a collaborative, multidimensional approachfor impactful AR narrative content designs to stimulate sustainable food behavior for consumers.
Human kind has a major impact on the state of life on Earth, mainly caused by habitat destruction, fragmentation and pollution related to agricultural land use and industrialization. Biodiversity is dominated by insects (~50%). Insects are vital for ecosystems through ecosystem engineering and controlling properties, such as soil formation and nutrient cycling, pollination, and in food webs as prey or controlling predator or parasite. Reducing insect diversity reduces resilience of ecosystems and increases risks of non-performance in soil fertility, pollination and pest suppression. Insects are under threat. Worldwide 41 % of insect species are in decline, 33% species threatened with extinction, and a co-occurring insect biomass loss of 2.5% per year. In Germany, insect biomass in natural areas surrounded by agriculture was reduced by 76% in 27 years. Nature inclusive agriculture and agri-environmental schemes aim to mitigate these kinds of effects. Protection measures need success indicators. Insects are excellent for biodiversity assessments, even with small landscape adaptations. Measuring insect biodiversity however is not easy. We aim to use new automated recognition techniques by machine learning with neural networks, to produce algorithms for fast and insightful insect diversity indexes. Biodiversity can be measured by indicative species (groups). We use three groups: 1) Carabid beetles (are top predators); 2) Moths (relation with host plants); 3) Flying insects (multiple functions in ecosystems, e.g. parasitism). The project wants to design user-friendly farmer/citizen science biodiversity measurements with machine learning, and use these in comparative research in 3 real life cases as proof of concept: 1) effects of agriculture on insects in hedgerows, 2) effects of different commercial crop production systems on insects, 3) effects of flower richness in crops and grassland on insects, all measured with natural reference situations
