File:GHG emissions reductions potential of food system technologies and methods by 2050.png

English: "2050 food system technologies targeting gross GHG emissions reductions (top) and gross carbon dioxide removal (CDR; bottom). Note the range difference on the y-axis. Rates of adoption are based on global capacity in year 2050 under a ‘business as usual’ scenario. Larger bars indicate greater reductions of greenhouse gases expressed as CO2eq. ‘All technologies’ include the additive effects of each technology at a given level of adoption. Yield gaps are closed, BAU caloric consumption. Values provided in Supplemental Material (Table A and Table B in S1 Text)." "Here, we use a global food system model used in the EAT-Lancet analyses (see Methods; [11]) to examine an array of conditions and scenarios for which gross GHG reductions, gross CDR and net negative GHG emissions can be achieved in the 2050 food system. These scenarios include changes in dietary choice, land use changes, technology deployment levels, and food loss and waste reductions, thus alternating the land, fertilizer, and energy GHG emissions that are tied to the food demands of 10 billion people by 2050 (see Methods). We combine a ‘business as usual’ (BAU) scenario with a global food system model to ascribe GHG emissions to the production of different foods [11]. We focus on agro-industrial technologies representative of food system emissions sourcing, spanning cradle-to-grave and land-to-sea, including hydro-powered fertilizer production, improved livestock feed, anaerobic digesters, soil amendments, agroforestry, seaweed farming, and reduced trawling (Table 1, Fig 1). Our analyses include both discrete categories (Fig 2) and a continuous spectrum (Fig 3) of dietary, technological, and food loss and waste reduction scenarios, and include both global and country-wide scenarios (Figs 4 and 5). We aim to explore which levers offer the most potential for achieving food system emission targets. We argue that systematic investigation of the technologies we selected to explore, in combination with dietary change and food waste scenarios, will provide immediate policy-relevant foresight and help prioritize research and practice."