
Abstract To feed future populations on ever-scarcer natural resources, policy initiatives aim to decrease resource footprints of food consumption. While adopting healthier diets has shown great potential to reduce footprints, current political initiatives primarily address strategies to reduce food waste, with the target of halving food waste at retail and consumption levels by 2030. Using Germany as a case study, we compare the resource-saving potential of this political target with three scenarios of nutritionally viable, plant-based dietary patterns and investigate interactions and trade-offs. By using the Food and Agriculture Biomass Input–Output model, we capture biomass, cropland, and blue water footprints of global supply chains. The results show that dietary changes are particularly effective in reducing biomass and cropland footprints, showing a decrease of up to 61% and 48%, respectively, whereas halving food waste decreases biomass and cropland footprints by 11% and 15%, respectively. For blue water savings, halving food waste is more effective: water use decreases by 14% compared to an increase of 6% for dietary change with the highest water consumption. Subsequently, a combination of the scenarios shows the highest total reduction potential. However, our findings reveal that despite reduced footprints, a dietary shift can lead to an increased amount of food waste due to the rising consumption of products associated with higher food waste shares. Therefore, policy strategies addressing both targets might be contradicting. We conclude that international and national policies can be most effective in achieving higher resource efficiency by exploiting the reduction potentials of all available strategies while simultaneously considering strategy interactions.
105904 Environmental research, Science, QC1-999, resource footprints, 401905 Nachwachsende Rohstoffe, Environmental technology. Sanitary engineering, resource footprints, food waste, diets, policy, 405004 Nachhaltige Landwirtschaft, 107004 Humanökologie, 401905 Renewable resources, 502022 Nachhaltiges Wirtschaften, GE1-350, 405004 Sustainable agriculture, TD1-1066, 502022 Sustainable economics, 502042 Umweltökonomie, 107004 Human ecology, Physics, Q, 502042 Environmental economics, 304, Environmental sciences, food waste, 405, 201128 Sustainable building, diets, 105904 Umweltforschung, 201128 Nachhaltiges Bauen, policy
105904 Environmental research, Science, QC1-999, resource footprints, 401905 Nachwachsende Rohstoffe, Environmental technology. Sanitary engineering, resource footprints, food waste, diets, policy, 405004 Nachhaltige Landwirtschaft, 107004 Humanökologie, 401905 Renewable resources, 502022 Nachhaltiges Wirtschaften, GE1-350, 405004 Sustainable agriculture, TD1-1066, 502022 Sustainable economics, 502042 Umweltökonomie, 107004 Human ecology, Physics, Q, 502042 Environmental economics, 304, Environmental sciences, food waste, 405, 201128 Sustainable building, diets, 105904 Umweltforschung, 201128 Nachhaltiges Bauen, policy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 35 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
