| 1. |
- Andersson, David, 1979, et al.
(författare)
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DN Debatt: LRF och Svenskt flyg svarar inte om klimatmålen
- 2015
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Ingår i: Dagens Nyheter. - 1101-2447.
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Tidskriftsartikel (populärvet., debatt m.m.)abstract
- Sammantaget ser vi inget i motdebattörernas argument som talar emot att införa styrmedel, till exempel konsumtionsskatter, inom dessa områden där inga stora tekniska lösningar finns i sikte, skriver 14 miljö- och energiforskare i slutrepliken till sin text om flyg- och köttskatt (26/2).
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| 2. |
- Andersson, David, 1979, et al.
(författare)
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Nu krävs kraftfulla åtgärder mot nötkött och flygresor
- 2015
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Ingår i: Dagens Nyheter. - 1101-2447. ; 2015-02-27
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Svenskarnas globala utsläpp från köttkonsumtion och flygresor motsvarar hälften av de totala utsläppen på hemmaplan. I vår rapport till Naturvårdsverket föreslår vi tydliga styrmedel – som nya skatter – för att begränsa konsumtionen på dessa områden, skriver 14 miljö- och energiforskare.
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| 3. |
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| 4. |
- Azar, Christian, 1969, et al.
(författare)
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Att jämföra koldioxid och metan – varför GWP inte ger hela bilden
- 2016
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Ingår i: Uppsalainiativet.
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Eftersom det finns fler växthusgaser än en, så behöver vi kunna göra relevanta jämförelser mellan utsläpp av olika sådana. Hur stort metanutsläpp orsakar lika mycket förhöjd växthuseffekt som en given mängd koldioxid? Frågan är mer komplicerad än man kanske först anar, och vi har idag glädjen att presentera ett gästinlägg om saken av Chalmersforskarna Christian Azar, David Bryngelsson, Daniel Johansson, Erik Sterner och Stefan Wirsenius. /O.H.
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| 5. |
- Bryngelsson, David, 1981, et al.
(författare)
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How can the EU climate targets be met? : A combined analysis of technological and demand-side changes in food and agriculture
- 2016
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Ingår i: Food Policy. - : Elsevier Ltd. - 0306-9192 .- 1873-5657. ; 59, s. 152-164
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Tidskriftsartikel (refereegranskat)abstract
- To meet the 2 °C climate target, deep cuts in greenhouse gas (GHG) emissions will be required for carbon dioxide from fossil fuels but, most likely, also for methane and nitrous oxide from agriculture and other sources. However, relatively little is known about the GHG mitigation potential in agriculture, in particular with respect to the combined effects of technological advancements and dietary changes. Here, we estimate the extent to which changes in technology and demand can reduce Swedish food-related GHG emissions necessary for meeting EU climate targets. This analysis is based on a detailed representation of the food and agriculture system, using 30 different food items. We find that food-related methane and nitrous oxide emissions can be reduced enough to meet the EU 2050 climate targets. Technologically, agriculture can improve in productivity and through implementation of specific mitigation measures. Under optimistic assumptions, these developments could cut current food-related methane and nitrous oxide emissions by nearly 50%. However, also dietary changes will almost certainly be necessary. Large reductions, by 50% or more, in ruminant meat (beef and mutton) consumption are, most likely, unavoidable if the EU targets are to be met. In contrast, continued high per-capita consumption of pork and poultry meat or dairy products might be accommodated within the climate targets. High dairy consumption, however, is only compatible with the targets if there are substantial advances in technology. Reducing food waste plays a minor role for meeting the climate targets, lowering emissions only by an additional 1–3%. © 2016 The Authors
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| 6. |
- Bryngelsson, David, 1981, et al.
(författare)
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How Do Dietary Choices Influence the Energy-System Cost of Stabilizing the Climate?
- 2017
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Ingår i: Energies. - : MDPI AG. - 1996-1073 .- 1996-1073. ; 10:2
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Tidskriftsartikel (refereegranskat)abstract
- We investigate how different global dietary scenarios affect the constraints on, and costs of, transforming the energy system to reach a global temperature stabilization limit of 2 degrees C above the pre-industrial level. A global food and agriculture model, World Food Supply Model (WOFSUM), is used to create three dietary scenarios and to calculate the CH4 and N2O emissions resulting from their respective food-supply chains. The diets are: (i) a reference diet based on current trends; (ii) a diet with high (reference-level) meat consumption, but without ruminant products (i.e., no beef, lamb, or dairy, only pork and poultry); and (iii) a vegan diet. The estimated CH4 and N2O emissions from food production are fed into a coupled energy and climate-system optimization model to quantify the energy system implications of the different dietary scenarios, given a 2 degrees C target. The results indicate that a phase-out of ruminant products substantially increases the emission space for CO2 by about 250 GtC which reduces the necessary pace of the energy system transition and cuts the net present value energy-system mitigation costs by 25%, for staying below 2 degrees C. Importantly, the additional cost savings with a vegan diet--beyond those achieved with a phase-out of ruminant products--are marginal (only one additional percentage point). This means that a general reduction of meat consumption is a far less effective strategy for meeting the 2 degrees C target than a reduction of beef and dairy consumption.
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| 9. |
- Fetzel, T., et al.
(författare)
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Quantification of uncertainties in global grazing systems assessment
- 2017
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Ingår i: Global Biogeochemical Cycles. - : American Geophysical Union (AGU). - 0886-6236 .- 1944-9224. ; 31:7, s. 1089-1102
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Tidskriftsartikel (refereegranskat)abstract
- Livestock systems play a key role in global sustainability challenges like food security and climate change, yet many unknowns and large uncertainties prevail. We present a systematic, spatially explicit assessment of uncertainties related to grazing intensity (GI), a key metric for assessing ecological impacts of grazing, by combining existing data sets on (a) grazing feed intake, (b) the spatial distribution of livestock, (c) the extent of grazing land, and (d) its net primary productivity (NPP). An analysis of the resulting 96 maps implies that on average 15% of the grazing land NPP is consumed by livestock. GI is low in most of the world's grazing lands, but hotspots of very high GI prevail in 1% of the total grazing area. The agreement between GI maps is good on one fifth of the world's grazing area, while on the remainder, it is low to very low. Largest uncertainties are found in global drylands and where grazing land bears trees (e.g., the Amazon basin or the Taiga belt). In some regions like India or Western Europe, massive uncertainties even result in GI > 100% estimates. Our sensitivity analysis indicates that the input data for NPP, animal distribution, and grazing area contribute about equally to the total variability in GI maps, while grazing feed intake is a less critical variable. We argue that a general improvement in quality of the available global level data sets is a precondition for improving the understanding of the role of livestock systems in the context of global environmental change or food security. Plain Language Summary Livestock systems play a key role in global sustainability challenges like food security and climate change, yet many unknowns and large uncertainties prevail. We present a systematic assessment of uncertainties related to the intensity of grazing, a key metric for assessing ecological impacts of grazing. We combine existing data sets on (a) grazing feed intake, (b) the spatial distribution of livestock, (c) the extent of grazing land, and (d) the biomass available for grazing. Our results show that most grasslands are used with low intensity, but hotspots of high intensity prevail on 1% of the global grazing area, mainly located in drylands and where grazing land bears trees. The agreement between all maps is good on one fifth of the global grazing area, while on the remainder, it is low to very low. Our sensitivity analysis indicates that the input data for available biomass, animal distribution, and grazing area contribute about equally to the total variability of our maps, while grazing feed intake is a less critical variable. We argue that a general improvement in quality of the available data sets is a precondition for improving the understanding of livestock systems in the context of global environmental change or food security.
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