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Biophysical and economic limits to negative CO2 emissions

doi: 10.1038/nclimate2870
handle: 2164/7937
To have a >50% chance of limiting warming below 2 °C, most recent scenarios from integrated assessment models (IAMs) require large-scale deployment of negative emissions technologies (NETs). These are technologies that result in the net removal of greenhouse gases from the atmosphere. We quantify potential global impacts of the different NETs on various factors (such as land, greenhouse gas emissions, water, albedo, nutrients and energy) to determine the biophysical limits to, and economic costs of, their widespread application. Resource implications vary between technologies and need to be satisfactorily addressed if NETs are to have a significant role in achieving climate goals.
- French National Centre for Scientific Research France
- Utrecht University Netherlands
- University of São Paulo Brazil
- Leibniz Association Germany
- University of East Anglia United Kingdom
330, 550, [ SDV ] Life Sciences [q-bio], QH301 Biology, [SDV]Life Sciences [q-bio], Environmental Science (miscellaneous), 551, [SDV] Life Sciences [q-bio], QH301, Taverne, SDG 13 - Climate Action, Social Sciences (miscellaneous)
330, 550, [ SDV ] Life Sciences [q-bio], QH301 Biology, [SDV]Life Sciences [q-bio], Environmental Science (miscellaneous), 551, [SDV] Life Sciences [q-bio], QH301, Taverne, SDG 13 - Climate Action, Social Sciences (miscellaneous)
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).1K 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 0.01% 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 0.1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
