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Greenhouse gas (GHG) emissions from agriculture can be mitigated from both supply (production) and demand (consumption) sides. In this study the carbon footprint (CF) of a range of 26 crop and 6 livestock products was calculated using national statistical data and used as an indicator to assess the climatic impacts of agriculture from farm production to food consumption in China. Of the products assessed, meat had the highest CF (6.21 kg CO 2 -equivalent (CO 2 -eq)/kg), and vegetable had the lowest (0.15 kg CO 2 -eq/kg). The CFs of fruit, legume, grain crop, oil crop, milk, industrial crop and poultry egg were 0.31, 0.46, 0.77, 0.95, 1.47, 2.96 and 4.09 kg CO 2 -eq/kg, respectively. Methane emissions from paddy rice and emissions from fertilizer application were the largest contributors of about 36∼93% of CFs for crop production, whereas GHG emissions from forage, enteric fermentation and manure treatment accounted for more than 96% for CFs of livestock and poultry production. Significant differences between CFs were found across different management patterns and farm scales. GHGs emissions estimated from supply side food production are currently 912.5 kg CO 2 -eq/capita/year, which was considerably higher than that estimated from consumption being 379.6 kg CO 2 -eq/capita/year – which may be attributable to export, waste, or to the use of crops as feed for livestock. The CF for dining out was 2.87 kg CO 2 -eq/capita/meal, which was higher than home dining at 1.57 kg CO 2 -eq/capita/meal. We conclude that both improved agricultural management and dietary consumption changes have the potential to provide considerable GHG mitigation in China. [ABSTRACT FROM AUTHOR]

Following the Paris agreement in 2015, the European Union (EU) set a carbon neutrality objective by 2050, and so did France. The French agricultural sector can contribute as a carbon sink through carbon storage in biomass and soil, in addition to reducing GHG emissions. The objective of this study is to quantitatively assess the additional storage potential and cost of a set of eight carbon-storing practices. The impacts of these agricultural practices on soil organic carbon storage and crop production are assessed at a very fine spatial scale, using crop and grassland models. The associated area base, GHG budget, and implementation costs are assessed and aggregated at the region level. The economic model BANCO uses this information to derive the marginal abatement cost curve for France and identify the combination of carbon storing practices that minimizes the total cost of achieving a given national net GHG mitigation target. We find that a substantial amount of carbon, 36.2 to 52.9 MtCO 2 e yr−1, can be stored in soil and biomass for reasonable carbon prices of 55 and 250 € tCO 2 e−1, respectively (corresponding to current and 2030 French carbon value for climate action), mainly by developing agroforestry and hedges, generalising cover crops, and introducing or extending temporary grasslands in crop sequences. This finding questions the 3–5 times lower target of 10 MtCO2e.yr−1 retained for the agricultural carbon sink by the French climate neutrality strategy. Overall, this would decrease total French GHG emissions by 9.2–13.8%, respectively (reference year 2019). • Additional carbon storage, net GHG budget, and cost of 8 agricultural practices. • MACC shows abatement potential of 40–60 MtCO 2 e.yr−1 for carbon price 55–250 €.tCO 2 e−1. • Key practices: agroforestry, hedges, cover crops, grasslands in crop sequences. • No "one size fits all strategy" due to heterogeneity across regions and practices. • French agricultural carbon sink potential is 5 times higher than anticipated by the government. [ABSTRACT FROM AUTHOR]