Are the impacts of land use on warming underestimated in climate policy?
Open accessAbstract
While carbon dioxide emissions from energy use must be the primary target of climate change mitigation efforts, land use and land cover change (LULCC) also represent an important source of climate forcing. In this study we compute time series of global surface temperature change separately for LULCC and non-LULCC sources (primarily fossil fuel burning), and show that because of the extra warming associated with the co-emission of methane and nitrous oxide with LULCC carbon dioxide emissions, and a co-emission of cooling aerosols with non-LULCC emissions of carbon dioxide, the linear relationship between cumulative carbon dioxide emissions and temperature has a two-fold higher slope for LULCC than for non-LULCC activities. Moreover, projections used in the Intergovernmental Panel on Climate Change (IPCC) for the rate of tropical land conversion in the future are relatively low compared to contemporary observations, suggesting that the future projections of land conversion used in the IPCC may underestimate potential impacts of LULCC. By including a ‘business as usual’ future LULCC scenario for tropical deforestation, we find that even if all non-LULCC emissions are switched off in 2015, it is likely that 1.5 °C of warming relative to the preindustrial era will occur by 2100. Thus, policies to reduce LULCC emissions must remain a high priority if we are to achieve the low to medium temperature change targets proposed as a part of the Paris Agreement. Future studies using integrated assessment models and other climate simulations should include more realistic deforestation rates and the integration of policy that would reduce LULCC emissions.
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Overall, land use by humans is estimated to be responsible for about a quarter of global GHG emissions, and this may be an underestimate.
“Overall, land use by humans is estimated to be responsible for about a quarter of global GHG emissions [370] (and this may be an underestimate [511]).”
From Tackling climate change with machine learning (2023) · cites this paper as [511]
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References 43 · Cited by 32
- Authors
- Mahowald, N. M., Ward, D. S., Doney, S. C., Hess, P. G., & Randerson, J. T.
- Affiliations
- Cornell University (US)
- Princeton University (US)
- Woods Hole Oceanographic Institution (US)
- University of California, Irvine (US)
- Corresponding author
- Mahowald, Natalie M
- Venue
- Environmental Research Letters
- Publisher
- IOP Publishing
- Published
- 2017-09-01
- Volume
- 12
- Issue
- 9
- Pages
- 094016
- ISSN
- 1748-9326 (ISSN-L)
- OpenAlex
- W2744985939
- Cited by
- 32
- References
- 43
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 7 · 2022: 8 · 2021: 4 · 2019: 1 · 2018: 5 · 2017: 2
- FWCI
- 1.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Environmental Research Letters (publishedVersion, cc-by)
- Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- Directorate for Computer and Information Science and Engineering (CCF-1522054)
- US Department of Energy (DOE-SC0016362)
- Division of Atmospheric and Geospace Sciences (ATM1049033)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Environmental Impact
- Keywords
- land use and land cover change, tropical deforestation, radiative forcing, methane emissions, nitrous oxide emissions, 1.5 °C warming target, Paris Agreement, climate policy, business-as-usual scenario
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