Historical warming reduced due to enhanced land carbon uptake

Previous studies have demonstrated the importance of enhanced vegetation growth under future elevated atmospheric CO ₂ for 21st century climate warming. Surprisingly no study has completed an analogous assessment for the historical period, during which emissions of greenhouse gases increased rapidly...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 110; no. 42; pp. 16730 - 16735
Main Authors Shevliakova, Elena, Stouffer, Ronald J., Malyshev, Sergey, Krasting, John P., Hurtt, George C., Pacala, Stephen W.
Format Journal Article
LanguageEnglish
Published Washington, DC National Academy of Sciences 15.10.2013
NATIONAL ACADEMY OF SCIENCES
National Acad Sciences
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Summary:Previous studies have demonstrated the importance of enhanced vegetation growth under future elevated atmospheric CO ₂ for 21st century climate warming. Surprisingly no study has completed an analogous assessment for the historical period, during which emissions of greenhouse gases increased rapidly and land-use changes (LUC) dramatically altered terrestrial carbon sources and sinks. Using the Geophysical Fluid Dynamics Laboratory comprehensive Earth System Model ESM2G and a reconstruction of the LUC, we estimate that enhanced vegetation growth has lowered the historical atmospheric CO ₂ concentration by 85 ppm, avoiding an additional 0.31 ± 0.06 °C warming. We demonstrate that without enhanced vegetation growth the total residual terrestrial carbon flux (i.e., the net land flux minus LUC flux) would be a source of 65–82 Gt of carbon (GtC) to atmosphere instead of the historical residual carbon sink of 186–192 GtC, a carbon saving of 251–274 GtC.
Bibliography:http://dx.doi.org/10.1073/pnas.1314047110
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Author contributions: E.S. and S.W.P. designed research; E.S. performed research; E.S., R.J.S., S.M., J.P.K., and G.C.H. contributed new analytic tools; J.P.K. performed the ESM2G model simulations; G.C.H. contributed historical land-use change reconstructions; E.S. analyzed data; and E.S., R.J.S., and S.W.P. wrote the paper.
Contributed by Stephen W. Pacala, August 13, 2013 (sent for review December 3, 2012)
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1314047110