The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Assessing “Dangerous Climate Change”: Required Reduction of Carbon Emissions to Protect Young People, Future Generations and Nature
Open accessAbstract
We assess climate impacts of global warming using ongoing observations and paleoclimate data. We use Earth's measured energy imbalance, paleoclimate data, and simple representations of the global carbon cycle and temperature to define emission reductions needed to stabilize climate and avoid potentially disastrous impacts on today's young people, future generations, and nature. A cumulative industrial-era limit of ∼500 GtC fossil fuel emissions and 100 GtC storage in the biosphere and soil would keep climate close to the Holocene range to which humanity and other species are adapted. Cumulative emissions of ∼1000 GtC, sometimes associated with 2°C global warming, would spur "slow" feedbacks and eventual warming of 3-4°C with disastrous consequences. Rapid emissions reduction is required to restore Earth's energy balance and avoid ocean heat uptake that would practically guarantee irreversible effects. Continuation of high fossil fuel emissions, given current knowledge of the consequences, would be an act of extraordinary witting intergenerational injustice. Responsible policymaking requires a rising price on carbon emissions that would preclude emissions from most remaining coal and unconventional fossil fuels and phase down emissions from conventional fossil fuels.
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Citations
Cites
A globally coherent fingerprint of climate change impacts across natural systems
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Self-citationEcological and Evolutionary Responses to Recent Climate Change
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Self-citationBounding the role of black carbon in the climate system: A scientific assessment
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Coral Reefs Under Rapid Climate Change and Ocean Acidification
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Use of U.S. Croplands for Biofuels Increases Greenhouse Gases Through Emissions from Land-Use Change
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Cited by
Hoang, T. T. H., Verma, S., Ma, S., Fister, T. T., Timoshenko, J., Frenkel, A. I., Kenis, P. J. A., & Gewirth, A. A. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b01868 · Cited by 852
A Gross‐Margin Model for Defining Technoeconomic Benchmarks in the Electroreduction of CO2
Verma, S., Kim, B., Jhong, H. “., Ma, S., & Kenis, P. J. A. (2016) · ChemSusChem · doi:10.1002/cssc.201600394 · Cited by 655
The Rising Threat of Atmospheric CO2: A Review on the Causes, Impacts, and Mitigation Strategies
Nunes, L. J. R. (2023) · Environments · doi:10.3390/environments10040066 · Cited by 587
Verma, S., Hamasaki, Y., Kim, C., Huang, W., Lu, S., Jhong, H.-R. M., Gewirth, A. A., Fujigaya, T., Nakashima, N., & Kenis, P. J. A. (2018) · ACS Energy Letters · doi:10.1021/acsenergylett.7b01096 · Cited by 521
Verma, S., Lu, X., Ma, S., Masel, R. I., & Kenis, P. J. A. (2016) · Physical Chemistry Chemical Physics · doi:10.1039/c5cp05665a · Cited by 497
Metadata
- Authors
- Hansen, J., Kharecha, P., Sato, M., Masson-Delmotte, V., Ackerman, F., Beerling, D. J., Hearty, P. J., Hoegh-Guldberg, O., Hsu, S.-L., Parmesan, C., Rockstrom, J., Rohling, E. J., Sachs, J., Smith, P., Steffen, K., Van Susteren, L., von Schuckmann, K., & Zachos, J. C.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-12-03
- Volume
- 8
- Issue
- 12
- Pages
- e81648
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2112698403
- Cited by
- 674
- References
- 28
- FWCI
- 149.73
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hansen, J., Kharecha, P., Sato, M., Masson-Delmotte, V., Ackerman, F., Beerling, D. J., Hearty, P. J., Hoegh-Guldberg, O., Hsu, S.-L., Parmesan, C., Rockstrom, J., Rohling, E. J., Sachs, J., Smith, P., Steffen, K., Van Susteren, L., von Schuckmann, K., & Zachos, J. C. (2013). Assessing “Dangerous Climate Change”: Required Reduction of Carbon Emissions to Protect Young People, Future Generations and Nature. PLoS ONE. https://doi.org/10.1371/journal.pone.0081648
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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.
