The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Stabilizing greenhouse gas concentrations at low levels: an assessment of reduction strategies and costs
Open accessAbstract
On the basis of the IPCC B2, A1b and B1 baseline scenarios, mitigation scenarios were developed that stabilize greenhouse gas concentrations at 650, 550 and 450 and – subject to specific assumptions – 400 ppm CO2-eq. The analysis takes into account a large number of reduction options, such as reductions of non-CO2 gases, carbon plantations and measures in the energy system. The study shows stabilization as low as 450 ppm CO2-eq. to be technically feasible, even given relatively high baseline scenarios. To achieve these lower concentration levels, global emissions need to peak within the first two decades. The net present value of abatement costs for the B2 baseline scenario (a medium scenario) increases from 0.2% of cumulative GDP to 1.1% as the shift is made from 650 to 450 ppm. On the other hand, the probability of meeting a two-degree target increases from 0%–10% to 20%–70%. The mitigation scenarios lead to lower emissions of regional air pollutants but also to increased land use. The uncertainty in the cost estimates is at least in the order of 50%, with the most important uncertainties including land-use emissions, the potential for bio-energy and the contribution of energy efficiency. Furthermore, creating the right socio-economic and political conditions for mitigation is more important than any of the technical constraints.
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Cites
Quantification of modelling uncertainties in a large ensemble of climate change simulations.
Murphy, J. M., Sexton, D. M. H., Barnett, D. N., Jones, G. S., Webb, M. J., Collins, M., & Stainforth, D. A. (2004) · Nature · doi:10.1038/nature02771 · Cited by 1,655
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van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., et al. (2011) · Climatic Change · doi:10.1007/s10584-011-0148-z · Cited by 7,741
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Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., et al. (2010) · Nature · doi:10.1038/nature08823 · Cited by 6,467
Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D., Liousse, C., Mieville, A., Owen, B., et al. (2010) · Atmospheric Chemistry and Physics · doi:10.5194/acp-10-7017-2010 · Cited by 2,105
Negative emissions—Part 2: Costs, potentials and side effects
Fuss, S., Lamb, W. F., Callaghan, M. W., Hilaire, J., Creutzig, F., Amann, T., Beringer, T., de Oliveira Garcia, W., Hartmann, J., Khanna, T., et al. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aabf9f · Cited by 1,525
Negative emissions—Part 1: Research landscape and synthesis
Minx, J. C., Lamb, W. F., Callaghan, M. W., Fuss, S., Hilaire, J., Creutzig, F., Amann, T., Beringer, T., de Oliveira Garcia, W., Hartmann, J., et al. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aabf9b · Cited by 865
International climate policy architectures: Overview of the EMF 22 International Scenarios
Clarke, L., Edmonds, J., Krey, V., Richels, R., Rose, S., & Tavoni, M. (2009) · Energy Economics · doi:10.1016/j.eneco.2009.10.013 · Cited by 521
van Ruijven, B. J., van Vuuren, D. P., Boskaljon, W., Neelis, M. L., Saygin, D., & Patel, M. K. (2016) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2016.04.016 · Cited by 305
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Amazonian tree species threatened by deforestation and climate change
Gomes, V. H. F., Vieira, I. C. G., Salomão, R. P., & ter Steege, H. (2019) · Nature Climate Change · doi:10.1038/s41558-019-0500-2 · Cited by 209
Aerosol Deposition Impacts on Land and Ocean Carbon Cycles
Mahowald, N. M., Scanza, R., Brahney, J., Goodale, C. L., Hess, P. G., Moore, J. K., & Neff, J. (2017) · Current Climate Change Reports · doi:10.1007/s40641-017-0056-z · Cited by 181
Mitigation from a cross sectoral perspective
Change, I. P. O. C. (2012) · Climate Change 2007 · doi:10.1017/cbo9780511546013.015 · Cited by 184
Contribution of N 2 O to the greenhouse gas balance of first‐generation biofuels
SMEETS, E. M. W., BOUWMAN, L. F., STEHFEST, E., Van VUUREN, D. P., & POSTHUMA, A. (2009) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01704.x · Cited by 181
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Creutzig, F., Popp, A., Plevin, R., Luderer, G., Minx, J., & Edenhofer, O. (2012) · Nature Climate Change · doi:10.1038/nclimate1416 · Cited by 147
Ecological limits to terrestrial biological carbon dioxide removal
Smith, L. J., & Torn, M. S. (2013) · Climatic Change · doi:10.1007/s10584-012-0682-3 · Cited by 118
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Nijsen, M., Smeets, E., Stehfest, E., & van Vuuren, D. P. (2012) · GCB Bioenergy · doi:10.1111/j.1757-1707.2011.01121.x · Cited by 113
Transition to a fully sustainable global energy system
Deng, Y. Y., Blok, K., & van der Leun, K. (2012) · Energy Strategy Reviews · doi:10.1016/j.esr.2012.07.003 · Cited by 112
Pauliuk, S., Dhaniati, N. M. A., & Müller, D. B. (2012) · Environmental Science & Technology · doi:10.1021/es201799k · Cited by 60
Seize the Means of Carbon Removal: The Political Economy of Direct Air Capture
Malm, A., & Carton, W. (2021) · Historical Materialism · doi:10.1163/1569206x-29012021 · Cited by 38
Are the impacts of land use on warming underestimated in climate policy?
Mahowald, N. M., Ward, D. S., Doney, S. C., Hess, P. G., & Randerson, J. T. (2017) · Environmental Research Letters · doi:10.1088/1748-9326/aa836d · Cited by 32
Metadata
- Authors
- van Vuuren, D. P., den Elzen, M. G. J., Lucas, P. L., Eickhout, B., Strengers, B. J., van Ruijven, B., Wonink, S., & van Houdt, R.
- Venue
- Climatic Change
- Published
- 2007-02-13
- Volume
- 81
- Issue
- 2
- Pages
- 119-159
- ISSN
- 0165-0009 (ISSN-L)
- 1573-1480
- OpenAlex
- W2171357716
- Cited by
- 742
- References
- 1
- FWCI
- 78.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
