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S. I. aan den Toorn
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2 records found
1
Journal article
(2021)
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S. I. aan den Toorn, E. Worrell, Machteld van den Broek
In the EU28, the meat and dairy supply chains emitted 360 Mt CO2-eq or 80% of all agricultural CH4 and N2O emissions in 2016, which must be reduced to reach net-zero greenhouse gas emissions by 2050. Our research explores how far these emissions can be reduced by combining field tested mitigation measures for beef cattle, dairy cattle, swine, sheep, and synthetic fertilizers. Many mitigation measures targeting enteric fermentation, manure management, and fertilizer application have been experimentally tested; however, the impact of combining measures is relatively unexplored. To address this knowledge gap, we use graph theory to create combinations of measures for which we calculate the overall mitigation potential. From previous review studies, we identified 44 measures and formulated rules on impossible and mandatory combinations of measures. Based on the resulting sets of feasible cliques in the graphs and a simplified technological baseline, we estimate that the combinations with the highest reductions reduce CH4 and N2O emissions from beef cattle by 57%, dairy cattle by 47%, swine by 70%, sheep by 48%, and synthetic fertilizers by 44%. Together, they can reduce CH4 and N2O emissions in the EU28 from meat and dairy production by 54%, and for agriculture overall by 42%. This indicates that implementing more measures in the meat and dairy sectors can create room for further reduction than in the existing modelled pathways for the EU28. However, technical measures are incapable of fully eliminating agricultural CH4 and N2O, so there remains a need for CO2 removal technologies.
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In the EU28, the meat and dairy supply chains emitted 360 Mt CO2-eq or 80% of all agricultural CH4 and N2O emissions in 2016, which must be reduced to reach net-zero greenhouse gas emissions by 2050. Our research explores how far these emissions can be reduced by combining field tested mitigation measures for beef cattle, dairy cattle, swine, sheep, and synthetic fertilizers. Many mitigation measures targeting enteric fermentation, manure management, and fertilizer application have been experimentally tested; however, the impact of combining measures is relatively unexplored. To address this knowledge gap, we use graph theory to create combinations of measures for which we calculate the overall mitigation potential. From previous review studies, we identified 44 measures and formulated rules on impossible and mandatory combinations of measures. Based on the resulting sets of feasible cliques in the graphs and a simplified technological baseline, we estimate that the combinations with the highest reductions reduce CH4 and N2O emissions from beef cattle by 57%, dairy cattle by 47%, swine by 70%, sheep by 48%, and synthetic fertilizers by 44%. Together, they can reduce CH4 and N2O emissions in the EU28 from meat and dairy production by 54%, and for agriculture overall by 42%. This indicates that implementing more measures in the meat and dairy sectors can create room for further reduction than in the existing modelled pathways for the EU28. However, technical measures are incapable of fully eliminating agricultural CH4 and N2O, so there remains a need for CO2 removal technologies.
Decarbonising meat
Exploring greenhouse gas emissions in the meat sector
Conference paper
(2017)
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S. I. Aan Den Toorn, M. A. Van Den Broek, E. Worrell
Consumption of meat is an important source of global greenhouse gas (GHG) emission and deep decarbonisation of the whole meat production chain is required to be able to meet global climate change (CC) mitigation goals. Emissions happen in different stages of meat production ranging from agricultural input production, feed production, livestock production to slaughtering, meat processing, and retail. An overview of direct emissions from processes in the meat sector themselves and indirect emissions from energy consumptions would provide a clearer picture for potential CC impact reduction. This paper explores the total GHG emissions and data availability within the meat sector of the pig, chicken, and cattle meat product system. Through statistical data provided by FAOSTAT and supplementary data from literature, the CC impacts of energy use and process GHG emissions in the pig, chicken and cattle meat life cycle are estimated. Cattle dominates, but pig and chicken meat have a sizable amount of GHG emissions with a relatively high contribution from agricultural inputs and post-farm processes. However, uncertainty and unavailability of data are large for the energy consumption, direct GHG emissions, and product flows of post-farm and agricultural input processes. In order to gain a more complete understanding of the total CC impacts of the meat sector, further research is necessary to reduce the uncertainty in the considered life cycle stages and to quantify the processes and meat products that have been excluded from this study.
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Consumption of meat is an important source of global greenhouse gas (GHG) emission and deep decarbonisation of the whole meat production chain is required to be able to meet global climate change (CC) mitigation goals. Emissions happen in different stages of meat production ranging from agricultural input production, feed production, livestock production to slaughtering, meat processing, and retail. An overview of direct emissions from processes in the meat sector themselves and indirect emissions from energy consumptions would provide a clearer picture for potential CC impact reduction. This paper explores the total GHG emissions and data availability within the meat sector of the pig, chicken, and cattle meat product system. Through statistical data provided by FAOSTAT and supplementary data from literature, the CC impacts of energy use and process GHG emissions in the pig, chicken and cattle meat life cycle are estimated. Cattle dominates, but pig and chicken meat have a sizable amount of GHG emissions with a relatively high contribution from agricultural inputs and post-farm processes. However, uncertainty and unavailability of data are large for the energy consumption, direct GHG emissions, and product flows of post-farm and agricultural input processes. In order to gain a more complete understanding of the total CC impacts of the meat sector, further research is necessary to reduce the uncertainty in the considered life cycle stages and to quantify the processes and meat products that have been excluded from this study.