| Literature DB >> 34565223 |
Andy Reisinger1, Harry Clark2, Annette L Cowie3, Jeremy Emmet-Booth2, Carlos Gonzalez Fischer2, Mario Herrero4, Mark Howden1, Sinead Leahy2.
Abstract
Agriculture is the largest single source of global anthropogenic methane (CH4) emissions, with ruminants the dominant contributor. Livestock CH4 emissions are projected to grow another 30% by 2050 under current policies, yet few countries have set targets or are implementing policies to reduce emissions in absolute terms. The reason for this limited ambition may be linked not only to the underpinning role of livestock for nutrition and livelihoods in many countries but also diverging perspectives on the importance of mitigating these emissions, given the short atmospheric lifetime of CH4. Here, we show that in mitigation pathways that limit warming to 1.5°C, which include cost-effective reductions from all emission sources, the contribution of future livestock CH4 emissions to global warming in 2050 is about one-third of that from future net carbon dioxide emissions. Future livestock CH4 emissions, therefore, significantly constrain the remaining carbon budget and the ability to meet stringent temperature limits. We review options to address livestock CH4 emissions through more efficient production, technological advances and demand-side changes, and their interactions with land-based carbon sequestration. We conclude that bringing livestock into mainstream mitigation policies, while recognizing their unique social, cultural and economic roles, would make an important contribution towards reaching the temperature goal of the Paris Agreement and is vital for a limit of 1.5°C. This article is part of a discussion meeting issue 'Rising methane: is warming feeding warming? (part 1)'.Entities:
Keywords: Paris Agreement; agriculture; land use; marginal warming; methane; sequestration
Year: 2021 PMID: 34565223 PMCID: PMC8480228 DOI: 10.1098/rsta.2020.0452
Source DB: PubMed Journal: Philos Trans A Math Phys Eng Sci ISSN: 1364-503X Impact factor: 4.226
Figure 1Temperature change associated with global net carbon dioxide (a–c) and livestock methane (d–f) emissions. (a,d) Global emissions for pathways consistent with limiting warming to 1.5°C with no or limited overshoot, using the average of five RCP1.9-SSP1 scenarios from the IPCC SR15 database [42]. (b,e) Temperature change due to historical and projected future emissions (thick solid lines) and historical emissions up to 2020 only (thin solid lines). The shaded areas indicate the contribution to warming from future emissions. (c,f) Temperature change due to future emissions only. Data sources: emissions scenarios are from the scenario database of the IPCC Special Report on Global Warming of 1.5°C [42,43]. Livestock CH4 emissions are assumed to be a constant fraction of AFOLU (Agriculture, Forestry and Other Land Use) CH4 emissions in these pathways. Temperature has been modelled using a simplified pulse response model based on simulations using MAGICC [44]. (Online version in colour.)
Figure 2Emission pathways of livestock CH4 (a(i)) and net CO2 (a(ii)) consistent with limiting warming to 1.5° with no or limited overshoot, and modelled temperature outcomes (b). The default emission pathways (solid lines) are the same as in figure 1. The dotted lines are for a business-as-usual scenario with a roughly 30% increase in livestock CH4 emissions by 2050 (relative to 2010), and net CO2 emissions adjusted such that the modelled temperature change remains virtually identical. Shaded and hashed areas in a(ii) indicate the remaining carbon budget for those pathways (starting in 2018; for details, see text). (b) Temperature responses, including for a scenario where livestock CH4 emissions are not reduced and emissions from all other sectors remain unchanged (dashed line). Temperature has been modelled using MAGICC 6.3 [44], using the median of a probabilistic set of 600 runs. Observed temperature change to 2020 is shown for illustration (crosses), using 1986–2005 as reference level, using HadCRUT5 [50]. (Online version in colour.)
Key emerging mitigation technologies for livestock CH4, their applicability and key constraints across systems, relative emissions reduction, estimated global mitigation potential including constraints on adoption, and timing and confidence in commercial availability. Relative reductions and mitigation potentials are based on expert judgement given the developments set out in the main text and assume continued research, development and commercialization, subject to regulatory and market approval. See notes for details.
| technology | applicability | key constraint | relative emissions reduction | mitigation potential in 2050a (Mt CH4 yr−1) | widespread commercial availability (confidence)b |
|---|---|---|---|---|---|
| CH4 inhibitors | TMR systems | cost | 30% | 0.8 | 2025 (high confidence) |
| intensive grazing systems (bolus, slow release) | cost | 20–30% | 5–8 | 2030 (medium confidence) | |
| CH4 vaccine | most systems | sustained R&D, veterinary services, cost | 30% (assumed, pending proof of concept) | 11–28 | 2050 (medium confidence) |
| low-emissions breeding | most systems | breeding programme | 1% per year,15% maximum | 2–9 | sheep: 2030 (high confidence) cattle: 2035 (medium confidence) |
| seaweed | TMR systems | global-scale production, cost, toxicology, regulatory and market acceptance | 20–50% | 0.5–1 | 2030 (insufficient evidence for confidence level) |
| possibly intensive grazing systems | 1–10 |
aGlobal mitigation potentials depend critically on adoption rates including policy incentives; numbers illustrate orders of magnitude, not predictions. We used global modelled emissions for different livestock systems in the year 2010 by GLEAM [93] and increased those emissions by 30% to approximate baseline emissions in 2050. The following adoption rates were used to illustrate global mitigation potentials: CH TMR: 100% adoption in all feedlot systems; Intensive grazing low: 20% efficacy, 50% adoption in mixed systems in high and upper middle income countries; intensive grazing high: 30% efficacy, 50% adoption in mixed systems in high, upper middle and lower middle income countries. CH low: 50% adoption in high and upper middle income countries; high: 100% adoption in high and upper middle income countries, 50% adoption in lower-middle income countries. Low-emissions breeding: low: 50% adoption in high income countries only; high: 50% adoption in high, upper middle and lower middle income countries. Seaweed: TMR: 100% adoption in feedlots with 20% and 50% efficacy; intensive grazing low: 20% efficacy, 50% adoption in high income countries only; Intensive grazing high: 50% efficacy, 50% adoption in high and upper middle income countries.
bConfidence reflects expert judgement about availability, given recent progress and agreement in available literature regarding pathways or fundamental barriers to success.