Abstract
Global emissions pathways that would limit warming to 1.5 or well below 2°C, consistent with the temperature goal of the Paris Agreement, rely on substantial reductions of agricultural greenhouse gases (methane and nitrous oxide) along with reaching net zero carbon dioxide emissions from fossil fuels. Failure to reduce agricultural emissions would require even more rapid cuts of carbon dioxide emissions and could jeopardize the ability to limit warming to 1.5°C. Modeled pathways that achieve the necessary agricultural emission reductions do so by pricing agricultural emissions. However, there is a large gap between such model scenarios and reality when it comes to the agricultural sector. To date, no single country currently exposes agricultural emissions to any mandatory carbon price and current evidence suggests considerable reluctance to the application of other climate policies with comparable stringency to agriculture. A more realistic view is needed if we are to avoid modeled emission scenarios providing an overly optimistic picture of mitigation potentials from the agricultural sector. There are entry points for mitigation of agricultural greenhouse gases outside government price policies, but many questions remain around their scalability and efficacy. A comprehensive and accelerated effort will be needed to bridge the gap from modeled emissions to realistic policy pathways.
Models and Reality for Global Agriculture Mitigation
The recent IPCC Special report on Global Warming of 1.5°C (IPCC, ) details a wide range of global emission pathways that would achieve the temperature goal of the Paris Agreement but they all include substantial reductions in agricultural greenhouse gases (methane and nitrous oxide) below forecast baseline trends (Huppmann et al., ). An earlier analysis by Wollenberg et al. () suggested a global target for reducing non-CO2 emissions from agriculture of ~1 Gt CO2-eq below baseline by 2030 to limit warming in 2100 to about 2°C above pre-industrial levels. The IPCC database of scenarios that limit warming to 1.5 or well below 2°C indicate greater median reductions well in excess of 2 GtCO2-eq below baseline by 2030, with further significant reductions beyond. The most ambitious scenarios assessed by the IPCC () that limit warming to 1.5°C with limited or no overshoot reduce global agricultural emissions by 16–41% (interquartile range) in 2050 relative to 2010, whereas baseline emission increase by 24–54% over the same period. This amounts to a median reduction of direct global agricultural non-CO2 emissions of 4.8 Gt CO2-eq below baseline by 2050 (Huppmann et al., ; Frank et al., ).
These ambitious mitigation pathways achieve the necessary emission reductions by applying prices of typically several hundred US$/tCO2-eq by 2050 to agriculture as well as the energy sector. Some apply more than US$100/tCO2-eq by 2030 to all emissions sources, at least in developed countries (Kriegler et al., ; Riahi et al., ), and assume concurrent supply-side mitigation; reductions in demand due to dietary change and reduced food loss and waste (IPCC, , ).
However, there is a large gap between such model scenarios and current reality. While there is increasing adoption of price-based policies to address energy, transport, and industry related CO2 emissions, these policies do not yet cover these sectors comprehensively and often do not reflect the carbon prices implied in the above scenarios. Moreover, no single country currently exposes agricultural emissions to any mandatory carbon price or other climate policies with comparable stringency. Wollenberg et al. () estimated that currently feasible reductions, even if agriculture were exposed to a global emission price of US$20/tCO2-eq, would deliver only 0.2–0.4 GtCO2-eq abatement by 2030.
While elimination of carbon dioxide emissions remains the global priority, failure to concurrently reduce global agricultural emissions would make limiting warming to 1.5°C by 2050 all but impossible even if action on fossil carbon dioxide emissions were to accelerate dramatically. It is well-established that constraining global temperatures to any level allows only a finite amount of carbon dioxide to be emitted. For example, for a 50/50 chance of limiting warming to 1.5°C, the remaining allowable carbon budget is about 580 GtCO2, hence the urgent need to reduce global annual carbon dioxide from currently more than 41 GtCO2 to net zero by 2050 (IPCC, ).
However, this carbon budget of 580 GtCO2 is contingent on a substantial concurrent reduction of agricultural emissions. If agricultural emissions were to remain constant, rather than decline as in the modeled pathways to 1.5°C, the warming from those additional emissions would reduce the allowable carbon budget by about another 250 GtCO2 (Rogelj et al., , ; Allen et al., ). Achieving global net zero CO2 emissions by 2050 already presents an enormous challenge; accomplishing this target even earlier is not a realistic prospect. The interactions between more or less ambitious reductions of agricultural emissions and allowable carbon dioxide emissions are illustrated in Figure 1.
Figure 1
The stark conclusion is that significant reductions of direct agricultural emissions over the next three decades is not an optional contribution but a necessary component of efforts to limit warming to 1.5°C. Failure to achieve such reductions would mean exceeding this temperature limit even if all other sectors maximize their efforts, or would increase reliance on carbon dioxide removal through large-scale afforestation or use of bioenergy along with carbon capture and storage, which in itself presents risks to food security (IPCC,
Current Prospects for Action on Agricultural Emissions
The required scale of global reductions cannot be driven by co-benefits alone but will incur real costs somewhere to someone. As noted by the IPCC in its recent report, “the full mitigation potential assessed in this report will only be realized if agricultural emissions are included in mainstream climate policy” (Hurlbert et al.,
While substantial reductions in agricultural emissions could in theory be achieved through the widespread introduction of price-based policies, or through equally ambitious regulations or other measures with an implicit price, current evidence suggests considerable reluctance to apply stringent climate policies to agriculture even in developed countries. While more than 100 countries have included agriculture mitigation in their Nationally Determined Contributions (Richards,
New Zealand's experience provides a salutary lesson in the difficulties of pricing agricultural emissions. New Zealand's policy discussions on agricultural emissions began in the mid-nineties during negotiations on the Kyoto Protocol, which New Zealand ratified in December 2002. In 2003, the New Zealand Government proposed a compulsory agricultural emissions research levy on farmers to accelerate the search for mitigation solutions while exempting the sector from exposure to an emissions price. Dubbed the “fart tax,” the proposal was met with fierce opposition and replaced by a voluntary joint industry-government research investment in return for an exemption from an emissions price. In 2008, New Zealand introduced the first emissions trading system in the world designed to cover all economic sectors and Kyoto gases but delayed entry of agriculture until at least 2012. In 2012, given the perceived absence of cost-effective mitigation options and lack of commensurate actions by New Zealand's competitors, entry of agriculture into the emissions trading scheme was deferred indefinitely. More recently, New Zealand's Interim Climate Change Committee recommended that agricultural emissions should be priced with a farm level emissions pricing levy/rebate scheme being implemented by 2025 (ICCC,
New Zealand's example illustrates two decades of unresolved grappling with the complexities of addressing agricultural emissions via price-based policies against a background of understandable concerns about their effectiveness, potential social and economic impacts on farmers, loss of international competitiveness, and the risk of emissions leakage from such a policy (e.g., Federated Farmers,
Some other countries have adopted specific GHG emission targets for agriculture, or targets for gases generally not covered by existing emissions trading schemes, such as the target of 30% reduction in non-ETS emissions across the EU by 2030. However, policies targeting specific climate outcomes in agriculture remain underdeveloped (Henderson and Frezal,
If developed countries are finding it challenging to implement price-based or stringent regulatory policies targeting agricultural greenhouse gas emissions, most developing countries will find such policies even harder to implement given concerns about food security and self-sufficiency, and rural poverty (Mbow et al.,
Novel agricultural mitigation technologies, such as inhibitors (Hristov et al.,
Achieving agricultural mitigation pathways in line with 1.5°C pathways is thus likely to require integrated policy interventions spanning supply and demand approaches (IPCC,
Entry Points for Mitigation in Agriculture Outside Government Policies
In the current absence of ambitious agricultural mitigation policies from national governments, are there prospects for action from other actors? We suggest that there are, but whether these will drive meaningful reductions in global emissions remains an open question.
Governments are potentially being outflanked by targets and requirements set by large international food companies, whose on-farm supply chain emissions often account for significant proportions of their total GHG footprint. For example, 57.4% of Danone's scope 3 GHG emissions are related to the purchase of agricultural products i.e., due to milk buying (Danone,
Table 1
| Company | Base year | Target |
|---|---|---|
| Danone | 2015 | -Reduce Scope 1, 2, and 3 emission intensity by 50% by 2030-Achieve a 30% absolute reduction of scope 1 and 2 emissions by 2030-Achieve net zero (Scope 1+2+3) by 2050 |
| Mars Inc. | 2015 | -Reduce total emissions (Scope 1+2+3) 27% by 2025 and 67% by 2050-Achieve net-zero GHG emissions in direct operations by 2040 |
| Nestle | 2010 2014 | -Reduce GHG emissions (Scope 1 and 2) per ton of product in every product category to achieve an overall reduction of 35% in manufacturing operations vs. 2010-Reduce GHG emissions per ton of product by 10% in distribution operations vs. 2014-Reduce Scope 3 emissions by 8% by 2020 from base year 2014 |
| Synlait Milk Limited | – | Reduce emissions per kilogram of milk solids on-farm by 35% (consisting of −50% nitrous oxide, −30% methane, and −30% carbon dioxide) and off-farm by 50% by 2028 |
| Tesco | 2015 | Reduce Scope 3 emissions by 17% by 2030 Reduce Scope 1 and 2 emissions 60% by 2025 |
| Coca-Cola Co. | 2010 | Reduce scope 1+2+3 emissions 25% by 2020 |
| General Mills Inc. | 2010 | Reduce absolute GHG emissions across full value chain (Scope 1+2+3) by 28% by 2025 |
| Kellogg | 2015 | Reduce Scope 3 emissions by 50% by 2050 |
| PepsiCo. | 2015 | Reduce Scope 1+2+3 emissions by 20% by 2030 |
| Unilever PLC | 2010 | Reduce emissions from the life-cycle of their products 50% per consumer use by 2030 |
Greenhouse gas targets for selected major food companies.
Consumer choice has the potential to both drive and respond to food company climate targets. Product labeling incorporating carbon footprints is increasing but highly differentiated by markets; their effectiveness to drive actual change in behavior depends on society's broader disposition toward environmental vs. economic goals (O'Neill et al.,
Focusing on reducing emissions intensity via productivity improvements and addressing yield gaps is generally accepted as a useful entry point for mitigation (Shafer et al.,
A focus on productivity improvement as a mitigation strategy can also have important indirect effects on emissions. Productivity improvements often reduce the cost of production and as a result, lead to additional land-use change, water use and related emissions at the margin of intensive systems (Grafton et al.,
The success of “sustainable intensification” and emissions intensity as a metric depend strongly on whether productivity gains go hand in hand with constraints on the total amount of food produced; fewer animals, less land and lower emissions, rather than more food with the same or more land and higher emissions. The climate benefits of intensification are thus tied inextricably to concurrent and coordinated changes in food demand, dietary choices, and broader land-use policies (Yu et al.,
Disruptive change from novel mitigation technologies, such as methane vaccines and methane and nitrous oxide inhibitors, could produce significant global benefits but thought needs to be given early to pathways for adoption in developing countries. Most of the development of a methane inhibitor is being carried out in developed countries, with the most advanced product (3-NOP) so far showing high efficacy (>30% reduction) in feedlot systems (Hristov et al.,
Conclusion
Achieving the temperature goal of the Paris Agreement will rely on substantial reductions in agricultural GHGs below forecast baseline trends. Current modeled pathways give an unrealistically optimistic picture of the mitigation potential from agriculture, because they all assume directly a price on emissions or actions being taken that have an equivalent shadow price. The reality is that climate policy for agriculture lags far behind climate policy in the energy sector—partly for good reasons related to food security and livelihoods, partly because vested and political interests are strong, and partly because it is a particularly challenging problem that requires coordination of action across multiple and disparate domains, ranging from nutritional health to rural economic development to biodiversity. These barriers won't go away in a hurry, and increasing concern about climate change impacts, as well as flow-on effects of climate policies in other sectors, could even harden some of those barriers. Alternative entry points for action do exist and some of them have the potential to outflank government policies and targets, but large questions remain about their scalability and efficacy. Focusing on emissions intensity is a useful entry point but its actual success in delivering emissions reductions depends strongly on a coordinated set of demand-side policies that currently are not in place. More comprehensive effort is needed to bridge the gap from modeled emissions to realistic policy pathways. Future modeling studies by the integrated assessment community would benefit from testing the consequences of bottom-up intervention strategies and technologies as outlined here and contrast them with first-best, global price-based mitigation outcomes assumed in many model studies to date. It is essential that the agricultural sector contribute to emissions reductions if the Paris agreement 1.5 or well below 2°C target is to be achieved. But such actions are only meaningful if efforts are upscaled significantly in the energy (fossil CO2) sector—agriculture can only complement but not substitute for failure to rapidly reduce CO2 emissions.
Statements
Author contributions
SL, HC, and AR conceived and wrote the paper.
Funding
This paper was supported by the New Zealand Agricultural Greenhouse Gas Research Centre (NZAGRC).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1
AllenM. R.FuglestvedtJ. S.ShineK. P.ShineK. P.ReisingerA.PierrehumbertR. T.et al. (2016). New use of global warming potentials to compare cumulative and short-lived climate pollutants. Nat. Clim. Change6, 773–776. 10.1038/nclimate2998
2
AndersonK. (2016). International food price spikes and temporary trade policy responses, in Agricultural Trade, Policy Reforms, and Global Food Security (New York, NY: Palgrave Macmillan US), 177–206. 10.1057/978-1-137-46925-0_8.
3
BajzeljB.RichardsK. S.AllwoodJ. M.SmithP.DennisJ. S.CurmiE.et al. (2014). Importance of food demand management for climate mitigation. Nat. Clim. Change4, 924–929. 10.1038/nclimate2353
4
BlandfordD.HassapoyannesK. (2018). The role of agriculture in global GHG mitigation,OECD Food, Agriculture and Fisheries Papers, No. 112 (Paris: Organisation for Economic Cooperation and Development (OECD)), 126.
5
BryantC.DillardC. (2019). The impact of framing on acceptance of cultured meat. Front. Nutr.6:103. 10.3389/fnut.2019.00103
6
CeddiaM. G.BardsleyN. O.Gomez-y-PalomaS.SedlacekS. (2014). Governance, agricultural intensification, and land sparing in tropical South America. Proc. Natl. Acad. Sci. U.S.A.111, 7242–7247. 10.1073/pnas.1317967111
7
CohnA. S.MosnierA.HavlíkP.ValinH.HerreroM.SchmidE. (2014). Cattle ranching intensification in Brazil can reduce global greenhouse gas emissions by sparing land from deforestation. Proc. Natl. Acad. Sci. U.S.A.111, 7236–7241. 10.1073/pnas.1307163111
8
Danone (2017). Environmental Performance. Available online at: http://iar2017.danone.com/performance-in-2017/key-performance-indicators/environmental-performance/ (accessed December 12, 2019).
9
DiH. J.CameronK. C. (2017). Ammonia oxidisers and their inhibition to reduce nitrogen losses in grazed grassland: a review. J. R. Soc. N. Zeal.48, 127–142. 10.1080/03036758.2017.1354894
10
Federated Farmers (2018). Submission by Federated Farmers of New Zealand on the Low-Emissions Economy Issues Paper. Wellington: Productivity Commission, 15. Available online at: https://productivity.govt.nz/assets/Submission-Documents/988a5eedda/Sub-039-Federated-Farmers.pdf (accessed May 12, 2020).
11
FeuchtY.ZanderK. (2017). Consumers' attitudes on carbon footprint labelling: results of the SUSDIET project,Thünen Working Paper, No. 78 (Braunschweig: Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries), 62. https://EconPapers.repec.org/RePEc:zbw:jhtiwp:78 (accessed May 12, 2020).
12
FrankS.HavlíkP.StehfestE.van MeijlH.WitzkeP.Peres-DominguezI.et al. (2019). Agricultural non-CO2 emission reduction potential in the context of the 1.5 °C target. Nat. Clim. Change9, 66–72. 10.1038/s41558-018-0358-8
13
FujimoriS.HasegawaT.RogeljJ.SuX.HavlikP.KreyV. (2018). Inclusive climate change mitigation and food security policy under 1.5 °C climate goal. Environ. Res. Lett.13:074033. 10.1088/1748-9326/aad0f7
14
GerberP. J.SteinfeldH.HendersonB.MottetA.OpioC.DijkmanJ.et al. (2013). Tackling Climate Change Through Livestock – A Global Assessment of Emissions and Mitigation Opportunities. Rome: Food and Agriculture Organization, 139.
15
GilJ. D. B.DaioglouV.van IttersumM.ReidsmanP.DoelmanJ. C.van MiddelaarC. E.et al. (2019). Reconciling global sustainability targets and local action for food production and climate change mitigation. Global Environ. Change59:101983. 10.1016/j.gloenvcha.2019.101983
16
GraftonR. Q.WilliamsJ.PerryC. J.MolleF.RinglerC.StedutoP.et al. (2018). The paradox of irrigation efficiency. Science361, 748–750. 10.1126/science.aat9314
17
GRAIN the Institute for Agriculture Trade Policy (2018). Emissions Impossible: How Big Meat and Dairy Are Heating Up the Planet. Available online at: https://www.grain.org/article/entries/5976-emissions-impossible-how-big-meat-and-dairy-are-heating-up-the-planet (accessed December 12, 2019).
18
GrewerU.NashJ.GurwickN.BockelL.GalfordG.RichardsM.et al. (2018). Analyzing the greenhouse gas impact potential of smallholder development actions across a global food security program. Environ. Res. Lett.13:044003. 10.1088/1748-9326/aab0b0
19
HasegawaT.FujimoriS.HavlíkP.ValinH.BodirskyB. L.DoelmanJ. C.et al. (2018). Risk of increased food insecurity under stringent global climate change mitigation policy. Nat. Clim. Change8, 699–703. 10.1038/s41558-018-0230-x
20
HendersonB.FrezalC. (2019). International Scan of GHG Mitigation Policies in Agriculture. Report prepared for New Zealand's Interim Climate Change Committee. Wellington: Interim Climate Change Committee (ICCC), 81.
21
HristovA. N.OhJ.GiallongoF.FrederickT. Q.HarperM. T.WeeksH. L.et al. (2015). An inhibitor persistently decreased enteric methane emission from dairy cows with no negative effect on milk production. Proc. Natl. Acad. Sci. U.S.A.112, 10663–10668. 10.1073/pnas.1504124112
22
HuppmannD.RogeljJ.KrieglerE.KreyV.RiahiK. (2018). A new scenario resource for intergrated 1.5°C research. Nat. Clim. Change8, 1027–1032. 10.1038/s41558-018-0317-4
23
HurlbertM.KrishnaswamyJ.DavinE.JohnsonF. X.MenaC. F.MortonJ.et al. (2019). Chapter 7: Risk management and decision making in relation to sustainable development, in Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems, eds P. R. Shukla, J. Skea, E. Calvo Buendia, V. Masson-Delmotte, H.-O. Pörtner, D.C. Roberts, P. Zhai, R. Slade, S. Connors, R. van Diemen, M. Ferrat, E. Haughey, S. Luz, S. Neogi, M. Pathak, J. Petzold, J. Portugal Pereira, P. Vyas, E. Huntley, K. Kissick, M. Belkacemi, and J. Malley (Geneva: Intergovernmental Panel on Climate Change (IPCC)).
24
ICCC (2019). Action on Agricultural Emissions: Evidence, Analysis and Recommendations. Wellington: Interim Climate Change Committee, 148. Available online at: https://www.iccc.mfe.govt.nz/what-we-do/agriculture/agriculture-inquiry-final-report/action-agricultural-emissions/ (accessed December 12, 2019).
25
IPCC (2018). Global Warming of 1.5°C, in An IPCC Special Report on the Impacts of Global Warming of 1.5 °C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty, eds V. Masson-Delmotte, P. Zhai, H.-O. Pörtner, D. Roberts, J. Skea, P.R. Shukla, A. Pirani, W. Moufouma-Okia, C. Péan, R. Pidcock, S. Connors, J.B.R. Matthews, Y. Chen, X. Zhou, M.I. Gomis, E. Lonnoy, T. Maycock, M. Tignor, and T. Waterfield (Geneva: Intergovernmental Panel on Climate Change).
26
IPCC (2019). Summary for Policymakers, in Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems. eds P.R. Shukla, J. Skea, E. Calvo Buendia, V. Masson-Delmotte, H.- O. Pörtner, D. C. Roberts, P. Zhai, R. Slade, S. Connors, R. van Diemen, M. Ferrat, E. Haughey, S. Luz, S. Neogi, M. Pathak, J. Petzold, J. Portugal Pereira, P. Vyas, E. Huntley, K. Kissick, M. Belkacemi, and J. Malley (Geneva: Intergovernmental Panel on Climate Change (IPCC)).
27
Joint Committee on Climate Action (2019). Climate Change: A Cross-Party Consensus for Action. Report of the Joint Committee on Climate Action. Dublin: Tithe An Oireachtais - Houses of the Oireachtas, 150. Available online at: https://www.oireachtas.ie/en/committees/32/climate-action/ (accessed December 12, 2019).
28
KrieglerE.EdmondsJ.HallegatteS.EbiK. L.KramT.RiahiK.et al. (2014). A new scenario framework for climate change research: the concept of shared climate policy assumptions. Clim. Change122, 401–414. 10.1007/s10584-013-0971-5
29
LoboguerreroA. M.CampbellB.CooperP.HansenJ. W.RosenstockT.WollenbergE. (2019). Food and earth systems: priorities for climate change adaptation and mitigation for agriculture and food systems. Sustainability11:1372. 10.3390/su11051372
30
LynchJ.PierrehumbertR. (2019). Climate impacts of cultured meat and beef cattle. Front. Sust. Food Syst.3:5. 10.3389/fsufs.2019.00005
31
MbowC.RosenzweigC.BarioniL. G.BentonT. G.HerreroM.KrishnapillaiM.et al. (2019). Chapter 5: Food security, in Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems. eds P.R. Shukla, J. Skea, E. Calvo Buendia, V. Masson-Delmotte, H.- O. Pörtner, D. C. Roberts, P. Zhai, R. Slade, S. Connors, R. van Diemen, M. Ferrat, E. Haughey, S. Luz, S. Neogi, M. Pathak, J. Petzold, J. Portugal Pereira, P. Vyas, E. Huntley, K. Kissick, M. Belkacemi, and J. Malley (Geneva: Intergovernmental Panel on Climate Change (IPCC)).
32
MeinshausenM.MeinshausenN.HareW.RaperS. C. B.FrielerK.KnuttiD.et al. (2009). Greenhouse-gas emission targets for limiting global warming to 2°C. Nature458, 1158–1162. 10.1038/nature08017
33
MeinshausenM.RaperS. C. B.WigleyT. M. L. (2011). Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 – part 1: model description and calibration. Atmos. Chem. Phys. 11, 1417–1456. 10.5194/acp-11-1417-2011
34
MfE (2018). New Zealand's Greenhouse Gas Inventory 1990–2016. Publication ME 1351. Wellington: Ministry for the Environment, 519. Available online at: https://www.mfe.govt.nz/publications/climate-change/new-zealands-greenhouse-gas-inventory-1990%E2%80%932016 (accessed December 12, 2019).
35
MoriceC. P.KennedyJ. J.RaynerN. A.JonesP. D. (2012). Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 data set. J. Geophys. Res. Atmospheres117:D08101. 10.1029/2011JD017187
36
MuetzelS.LoweK.JanssenP. H.PachecoD.BirdN.WalkerN.et al. (2019). Towards the application of 3-nitrooxypropanol in pastoral farming systems, in Abstract Retrieved from the Proceedings of the 7th GGAA - Greenhouse Gas and Animal Agriculture Conference (Iguassu Falls), 81.
37
OECD (2019a). The Impacts of Climate Change Mitigation Policies in Agriculture: Finding the Balance. COM/TAD/CA/ENV/EPOC(2019)9. Paris: Organisation for Economic Cooperation and Development (OECD), 22. Available online at: http://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=COM/TAD/CA/ENV/EPOC(2019)9/FINALanddocLanguage=En (accessed December 12, 2019).
38
OECD (2019b). Enhancing the Mitigation of Climate Change Though Agriculture. Paris: Organisation for Economic Cooperation and Development (OECD). Available online at: https://www.oecd-ilibrary.org/content/publication/e9a79226-en (accessed December 12, 2019).
39
O'NeillB. C.KrieglerE.EbiK. L.Kemp-BenedictE.RiahiK.RothmanD. S.et al. (2015). The roads ahead: narratives for shared socioeconomic pathways describing world futures in the 21st century. Global Environ. Change42, 169–180. 10.1016/j.gloenvcha.2015.01.004
40
PhalanB. (2018). What have we learned from the land sparing-sharing model?Sustainability10:1760. 10.3390/su10061760
41
PoppA.CalvinK.FujimoriS.HavlikP.HumpenoderF.StehfestE.et al. (2017). Land-use futures in the shared socio-economic pathways. Global Enviro. Change42, 331–345. 10.1016/j.gloenvcha.2016.10.002
42
RapsomanikisG. (2015). The Economic Lives of Smallholder Farmers. An Analysis Based on Household Data from Nine Countries. Rome: Food and Agriculture Organisation of the United Nations (FAO), 48. Available online at: http://www.fao.org/3/a-i5251e.pdf (accessed December 12, 2019).
43
ReisingerA.ClarkH.AbercrombieR.AspinM.ettemaP.HarrisMet al. (2018). Future Options to Reduce Biological GHG Emissions On-Farm: Critical Assumptions and National-Scale Impact. Report prepared for the Biological Emissions Reference Group. Wellington: Ministry for Primary Industries, 80. Available online at: https://www.mpi.govt.nz/dmsdocument/32128/send (accessed December 12, 2019).
44
RiahiK.van VuurenD. P.KrieglerE.EdmondsJ.O'NeillB. C.FujimoriS.et al. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: an overview. Global Environ. Change42, 153–168. 10.1016/j.gloenvcha.2016.05.009
45
RichardsM. (2019). National Plans to Address Adaptation and Mitigation in Agriculture: An Analysis of Nationally Determined Contributions. CCAFS dataset. Wageningen: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). Available online at: https://hdl.handle.net/10568/101189 (accessed May 12, 2020).
46
RobinsonT. P.ThorntonP. K.FranceschiniG. (2011). Global Livestock Production Systems. Rome: Food and Agriculture Organization of the United Nations (FAO) and International Livestock Research Institute (ILRI), 152. Available online at: http://www.fao.org/3/i2414e/i2414e00.htm (accessed December 12, 2019).
47
RogeljJ.ReisingerA.McCollumD. L.KnuttiR.RiahiK.MeinshausenM. (2015). Mitigation choices impact carbon budget size compatible with low temperature goals. Environ. Res. Lett.10:075003. 10.1088/1748-9326/10/7/075003
48
RogeljJ.ShindellD.JiangK.FifitaS.ForsterP.GinzburgV.et al. (2018). Mitigation pathways compatible with 1.5°C in the context of sustainable development, in Global Warming of 1.5°C. An IPCC Special Report on the Impacts of Global Warming of 1.5°C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty, eds V. Masson-Delmotte, P. Zhai, H.-O. Pörtner, D. Roberts, J. Skea, P.R. Shukla, A. Pirani, W. Moufouma-Okia, C. Péan, R. Pidcock, S. Connors, J.B.R. Matthews, Y. Chen, X. Zhou, M.I. Gomis, E. Lonnoy, T. Maycock, M. Tignor, and T. Waterfield (Geneva: Intergovernmental Panel on Climate Change), 93–174.
49
RoosE.BajzeljB.SmithP.PatelM.LittleD.GarnettT. (2017). Greedy or needy? Land use and climate impacts of food in 2050 under different livestock systems. Global Environ. Change47, 1–12. 10.1016/j.gloenvcha.2017.09.001
50
RoyJ.TschakertP.WaismanH.HalimS. A.Antwi-AgyeiP.DasguptaP.et al. (2018). Sustainable development, poverty eradication and reducing inequalities, in Global Warming of 1.5°C. An IPCC Special Report on the Impacts of Global Warming of 1.5°C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty, eds V. Masson-Delmotte, P. Zhai, H.-O. Pörtner, D. Roberts, J. Skea, P.R. Shukla, A. Pirani, W. Moufouma-Okia, C. Péan, R. Pidcock, S. Connors, J.B.R. Matthews, Y. Chen, X. Zhou, M.I. Gomis, E. Lonnoy, T. Maycock, M. Tignor, and T. Waterfield (Geneva: Intergovernmental Panel on Climate Change), 445–538.
51
ShaferS.WalthallC.FranzluebbersA.ScholtenM.ClarkH.ReisingerA.et al. (2011). Emergence of the global research alliance on agricultural greenhouse gases. Carbon Manag.2, 209–214. 10.4155/cmt.11.26
52
StephensN.Di SilvioL.DunsfordI.EllisM.GlencrossA.SextonA. (2018). Bringing cultured meat to market: technical, socio-political, and regulatory challenges in cellular agriculture. Trends Food Sci. Technol.78, 155–166. 10.1016/j.tifs.2018.04.010
53
TadesseG.AlgieriB.KalkuhlM.von BraunJ. (2014). Drivers and triggers of international food price spikes and volatility. Food Policy47, 117–128. 10.1016/j.foodpol.2013.08.014
54
ValdiviaR.AntleJ.RosenzweigC.RuaneA. C.VervoortJ.AshfaqM.et al. (2015). Representative agricultural pathways and scenarios for regional integrated assessment of climate change impacts, vulnerability, and adaptation, in Handbook of Climate Change and Agroecosystems: Impacts, Adaptation and Mitigation, eds C. Rosenzweig and D. Hillel (London: Imperial College Press), 101–145. 10.1142/9781783265640_0005
55
VermeulenS. J.AggarwalP. K.AinslieA.AngeloneC.CampbellB. M.ChallinorA. J.et al. (2012). Options for support to agriculture and food security under climate change. Environ. Sci. Policy15, 136–144. 10.1016/j.envsci.2011.09.003
56
VermeulenS. J.WollenbergE. K. (2017). A Rough Estimate of the Proportion of Global Emissions from Agriculture Due to Smallholders. CCAFS info note. Available online at: https://ccafs.cgiar.org/publications/rough-estimate-proportion-global-emissions-agriculture-due-smallholders#.XfFhLOgzaUk (accessed December 12, 2019).
57
WedlockD. N.JanssenP. H.LeahyS. C.ShuD.BuddleB. M. (2013). Progress in the development of vaccines against rumen methanogens. Animal7, 244–252. 10.1017/S1751731113000682
58
WollenbergE. (2017). The mitigation pillar of Climate-Smart Agriculture (CSA): targets and options. Agric. Develop.30, 19–22.
59
WollenbergE.RichardsM.SmithP.HavlikP.ObersteinerM.TubielloF. N.et al. (2016). Reducing emissions from agriculture to meet the 2°C target. Global Change Biology22, 3859–3864. 10.1111/gcb.13340
60
YuY.StomphT. J.MakowskiD.van der WerfW. (2015). Temporal niche differentiation increases the land equivalent ratio of annual intercrops: a meta-analysis. Field Crops Res.184:133–144. 10.1016/j.fcr.2015.09.010
61
ZomerR. J.NeufeldtH.XuJ.AhrendsA.BossioD.TrabuccoA.et al. (2016). Global tree cover and biomass carbon on agricultural land: the contribution of agroforestry to global and national carbon budgets. Sci. Rep.6:29987. 10.1038/srep29987
Summary
Keywords
agriculture, mitigation, greenhouse gas, Paris agreement, emissions
Citation
Leahy S, Clark H and Reisinger A (2020) Challenges and Prospects for Agricultural Greenhouse Gas Mitigation Pathways Consistent With the Paris Agreement. Front. Sustain. Food Syst. 4:69. doi: 10.3389/fsufs.2020.00069
Received
30 September 2019
Accepted
23 April 2020
Published
22 May 2020
Volume
4 - 2020
Edited by
Robert Martin Rees, Scotland's Rural College, United Kingdom
Reviewed by
Mark Van Wijk, International Livestock Research Institute, Kenya; Jules Bayala, World Agroforestry Centre, Kenya
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Copyright
© 2020 Leahy, Clark and Reisinger.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Sinead Leahy sinead.leahy@nzagrc.org.nz
This article was submitted to Climate-Smart Food Systems, a section of the journal Frontiers in Sustainable Food Systems
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