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Negative emissions—Part 1: Research landscape and synthesis

Authors: Jan C Minx; William F Lamb; Max W Callaghan; Sabine Fuss; Jérôme Hilaire; Felix Creutzig; Thorben Amann; +12 Authors

Negative emissions—Part 1: Research landscape and synthesis

Abstract

With the Paris Agreement's ambition of limiting climate change to well below 2 °C, negative emission technologies (NETs) have moved into the limelight of discussions in climate science and policy. Despite several assessments, the current knowledge on NETs is still diffuse and incomplete, but also growing fast. Here, we synthesize a comprehensive body of NETs literature, using scientometric tools and performing an in-depth assessment of the quantitative and qualitative evidence therein. We clarify the role of NETs in climate change mitigation scenarios, their ethical implications, as well as the challenges involved in bringing the various NETs to the market and scaling them up in time. There are six major findings arising from our assessment: first, keeping warming below 1.5 °C requires the large-scale deployment of NETs, but this dependency can still be kept to a minimum for the 2 °C warming limit. Second, accounting for economic and biophysical limits, we identify relevant potentials for all NETs except ocean fertilization. Third, any single NET is unlikely to sustainably achieve the large NETs deployment observed in many 1.5 °C and 2 °C mitigation scenarios. Yet, portfolios of multiple NETs, each deployed at modest scales, could be invaluable for reaching the climate goals. Fourth, a substantial gap exists between the upscaling and rapid diffusion of NETs implied in scenarios and progress in actual innovation and deployment. If NETs are required at the scales currently discussed, the resulting urgency of implementation is currently neither reflected in science nor policy. Fifth, NETs face severe barriers to implementation and are only weakly incentivized so far. Finally, we identify distinct ethical discourses relevant for NETs, but highlight the need to root them firmly in the available evidence in order to render such discussions relevant in practice.

Countries
United Kingdom, United Kingdom, Austria, United Kingdom, Germany, Switzerland, United Kingdom
Keywords

QH301 Biology, afforestation and reforestation, Environmental technology. Sanitary engineering, CARBON-DIOXIDE, bioenergy combined with carbon capture and storage (BECCS), SDG 13 - Climate Action, Meteorology & Atmospheric Sciences, GE1-350, TD1-1066, enhanced weathering, Physics, Q, SCENARIOS, negative emissions, soil carbon sequestration and biochar, 1.5 DEGREES-C, Physical Sciences, TECHNOLOGIES, Life Sciences & Biomedicine, 690, carbon dioxide removal (CDR), 330, negative emissions; carbon dioxide removal (CDR); soil carbon sequestration and biochar; afforestation and reforestation; enhanced weathering; direct air capture; bioenergy combined with carbon capture and storage (BECCS), Science, QC1-999, Environmental Sciences & Ecology, QH301, CO2 REMOVAL, direct air capture, TECHNOLOGY, OCEAN FERTILIZATION, CARBON-DIOXIDE REMOVAL, Science & Technology, PATHWAYS, CLIMATE-CHANGE MITIGATION, POLICY CHOICES, TRANSFORMATION, Environmental sciences, NON-CO2 GREENHOUSE GASES, ASSESSMENTS, Environmental Sciences, ETHICS, ddc: ddc:330

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    603
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
603
Top 0.1%
Top 1%
Top 0.1%
Green
gold