A comprehensive continental-scale analysis of carbon footprint of food production: Comparing continents around the world

Abstract

Food production is an important source of anthropogenic greenhouse gas (GHG) emissions. Quantifying the carbon footprint of all the major food categories in different continents is critical for accurately evaluating various aspects of GHG emissions from food production on a continental and global scale. Such information, however, is lacking. Thus, we conducted a meta-analysis of plant-based and animal-based food production in all continents comprehensively using 5353 carbon footprint values from 524 published papers and calculated GHG emissions from food production (system boundary is from cradle to farm gate) at the continental and global scale. Our results indicate that the average carbon footprint of plant-based foods amounts to 0.66 kg CO2-eq kg−1, which is only 10.7% of animal-based foods (6.15 kg CO2-eq kg−1). The carbon footprint of plant-based food in Asia and Europe is 8.9%–184% higher than that of other continents. Africa has the lowest carbon footprint for plant-based foods, owing to its low agricultural input and limited crop management. However, the carbon footprint of animal-based foods in Africa and Asia is 2.5%–150% higher than that of other continents, with North America and Oceania recording the lowest. Total annual GHG emission from global food production reached 8125 Mt CO2-eq, with grains, meat, and milk together accounting for 70.8%. Asia, owing to its large production, emerged as the largest emitter, accounting for 55.4% of global GHG emissions. It was followed by Europe (16.3%) and North America (10.5%), while Africa, South America and Oceania together emit 17.8%. In summary, our study presents the most comprehensive account of the carbon footprint of food production at the continental and global scale to-date, which will help develop strategies and policies to reduce GHG emissions at various levels such as geographical regions, food and nutrition security, resource availability and resource use.