Abstract
The global food production industry is responsible for producing high levels of greenhouse gas (GHG) emissions. Along the entire food supply chain (FSC), potential for mitigation exists because approximately one-third of all food globally produced is wasted, equivalent to 1.3 billion tons per year. On a global scale, emissions from livestock production are about 4600–7100 Mt CO2-eq/year when considered over the whole life cycle. These numbers represent roughly 9.4–14.5% of the total global GHG emissions. In Austria, the livestock sector was responsible for producing about 11.6% of the total GHG emissions in 2012 as a result of the production of about 909,000 t of meat. A high potential for mitigation of GHG emissions from livestock production exists, especially during the farming and production phases. A reduction in meat waste would, in the long-term, directly reduce GHG emissions stemming from livestock production. Two scenarios were considered to assess the GHG mitigation potential of waste from meat production: a business-as-usual (BAU) scenario and a reduction (RED) scenario (assuming a one-third reduction in waste from meat production in Austria). Because food waste is influenced by several phenomena along the FSC, taking an approach such as the life cycle assessment (LCA) offers only a partial solution. By using a Sustainability Impact Assessment (SIA) approach, researchers can consider social, economic and ecological impacts. It is possible to analyze and compare food waste reduction potentials through the use of such a tool, which can support GHG mitigation efforts in terms of their social, environmental and economic contribution to the livestock and meat processing sector. This approach allowed the identification of indicators that contribute to all sustainability dimensions and support the conclusion that preventing waste from meat processing would save at least 4.8 Mt CO2-eq emissions per year in Austria, which represented 6% of Austria’s total CO2-eq emissions in 2012.
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Notes
- 1.
The Act will enter into force by July 2016 (Moveforhunger 2016).
- 2.
Please see Fig. 2.1 for a graphical depiction.
- 3.
It is believed that these levels are underestimated (European Union 2011).
- 4.
Using the global warming (GWP) potential as calculated in the IPCC Second Assessment Report achieves consistency with the Austrian inventory report; however, using GWP values from AR5 increases national livestock emissions by approx. 2 Mt CO2-eq/year.
- 5.
Subsectors defined as in UNFCCC (2006).
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Annex: Overview of SIA Indicators and Their Values for Austria for BAU and RED Scenarios
Annex: Overview of SIA Indicators and Their Values for Austria for BAU and RED Scenarios
BAU scenario | RED scenario | ||||||||
---|---|---|---|---|---|---|---|---|---|
Ind01a | Beef/cattle | Pork/pig | Sheep (& goat) | Poultry | Beef/cattle | Pork/pig | Sheep (& goat) | Poultry | |
Net national consumption (t) | 207,905 | 491,313 | 7454 | 121,515 | 138,603 | 327,542 | 4969 | 81,010 | |
kg CO2-eq/kg meat | 14.2 | 6.0 | 8.4 | 3.5 | 14.2 | 6.0 | 8.4 | 3.5 | |
kg CO2-eq of net consumption | 2,952,251,000 | 2,947,878,000 | 62,613,600 | 425,302,500 | 1,968,162,600 | 1,965,252,000 | 41,739,600 | 283,535,000 | |
Sum (t CO2-eq) | 6,388,045 | 4,258,690 | |||||||
Ind02b | Soy import (kg) | CO2-eq min (kg/kg of soy product) | CO2-eq max (kg/kg of soy product) | Soy import (kg) | CO2-eq min (kg/kg of soy product) | CO2-eq max (kg/kg of soy product) | |||
Total soy (meal) feed = 530,000 t (30,000 t from Austria) | 500,000,000 | 0.3 | 17.8 | 333,333,333 | 0.3 | 17.8 | |||
150,000,000 | 8,900,000,000 | 100,000,000 | 5.933.333.333 | ||||||
Sum (t CO2-eq) | 150,000 | 8,900,000 | 100,000 | 5.933.333 | |||||
Ind03c | Beef/cattle | Pork/pig | Sheep (& goat) | Poultry | Beef/cattle | Pork/pig | Sheep (& goat) | Poultry | |
CH4 emissions from enteric fermentation (t) | 79,890 | 4470 | 2920 | 280 | 53,260 | 2980 | 1947 | 187 | |
CH4 emissions from manure management (t) | 5880 | 3500 | 70 | 1050 | 3920 | 2333 | 47 | 700 | |
N2O emissions from manure management (t) | 1290 | 180 | 80 | 230 | 860 | 120 | 53 | 153 | |
CO2-eq (t) | 3,300,600 | 324,620 | 125,500 | 113,760 | 2,200,400 | 216,413 | 83,667 | 75,840 | |
Addit. N2O em. (t) to agric. soil | 2150 | 1.433 | |||||||
Addit. N2O em. (t) to pasture, manures | 300 | 200 | |||||||
CO2-eq (t) | 730,100 | 486,733 | |||||||
Sum (t CO2-eq) | 4,594,580 | 3,063,053 | |||||||
Ind04d | Beef/cattle | Pork/pig | Sheep (& goat) | Poultry | Beef/cattle | Pork/pig | Sheep (& goat) | Poultry | |
Estimated Austrian water footprint (m³) | 208,112,905 | 531,109,353 | 3,801,540 | 94,781,700 | 138,742,604 | 354,072,902 | 2,534,190 | 63,187,800 | |
CO2-eq (t) | 170,652 | 435,509 | 3117 | 77,721 | 113,769 | 290,340 | 2078 | 51,814 | |
Sum (t CO2-eq) | 686,999 | 458,001 | |||||||
Ind05e, g | Beef/cattle | Pork/pig | Sheep (& goat) | Poultry | Beef/cattle | Pork/pig | Sheep (& goat) | Poultry | |
Average total waste water (l) | 2,156,491,489 | 2,487,323,964 | 98,134,466 | 6,134,542,018 | 1,437,660,993 | 1,658,215,976 | 65,422,977 | 4,089,694,679 | |
CO2-eq (t) | 1768 | 2040 | 80 | 5030 | 1179 | 1360 | 54 | 3354 | |
Sum (t CO2-eq) | 8919 | 5946 | |||||||
Ind06f | Beef/cattle | Pork/pig | Sheep (& goat) | Poultry | Beef/cattle | Pork/pig | Sheep (& goat) | Poultry | |
MJ of total meat production (average value) | 8,939,915,000 | 12,774,138,000 | No data | 2,673,330,000 | 5,959,929,000 | 8,516,092,000 | No data | 1782.220,0000 | |
kWh | 2,483,309,722 | 3,548,371,667 | No data | 742,591,667 | 1,655,535,833 | 2,365,581,111 | No data | 495,061,111 | |
CO2-eq (t) | 908,891 | 1,298,704 | No data | 271,789 | 605,926 | 865,803 | No data | 181,192 | |
Sum (t CO2-eq) | 2,479,384 | 1,652,921.79 |
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Winkler, T., Aschemann, R. (2017). Decreasing Greenhouse Gas Emissions of Meat Products Through Food Waste Reduction. A Framework for a Sustainability Assessment Approach. In: Morone, P., Papendiek, F., Tartiu, V. (eds) Food Waste Reduction and Valorisation. Springer, Cham. https://doi.org/10.1007/978-3-319-50088-1_4
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