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Cited by 566

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Carbon residence time dominates uncertainty in terrestrial vegetation responses to future climate and atmospheric CO 2

Open access
Friend, Andrew D., Lucht, Wolfgang, Rademacher, Tim T., Keribin, Rozenn, Betts, Richard, Cadule, Patricia, Ciais, Philippe, Clark, Douglas B., Dankers, Rutger, Falloon, Pete D., Ito, Akihiko, Kahana, Ron, Kleidon, Axel, Lomas, Mark R., Nishina, Kazuya, Ostberg, Sebastian, Pavlick, Ryan, Peylin, Philippe, Schaphoff, Sibyll, Vuichard, Nicolas, Warszawski, Lila, Wiltshire, Andy, Woodward, F. Ian·2014·Proceedings of the National Academy of Sciences

Abstract

Future climate change and increasing atmospheric CO 2 are expected to cause major changes in vegetation structure and function over large fractions of the global land surface. Seven global vegetation models are used to analyze possible responses to future climate simulated by a range of general circulation models run under all four representative concentration pathway scenarios of changing concentrations of greenhouse gases. All 110 simulations predict an increase in global vegetation carbon to 2100, but with substantial variation between vegetation models. For example, at 4 °C of global land surface warming (510–758 ppm of CO 2 ), vegetation carbon increases by 52–477 Pg C (224 Pg C mean), mainly due to CO 2 fertilization of photosynthesis. Simulations agree on large regional increases across much of the boreal forest, western Amazonia, central Africa, western China, and southeast Asia, with reductions across southwestern North America, central South America, southern Mediterranean areas, southwestern Africa, and southwestern Australia. Four vegetation models display discontinuities across 4 °C of warming, indicating global thresholds in the balance of positive and negative influences on productivity and biomass. In contrast to previous global vegetation model studies, we emphasize the importance of uncertainties in projected changes in carbon residence times. We find, when all seven models are considered for one representative concentration pathway × general circulation model combination, such uncertainties explain 30% more variation in modeled vegetation carbon change than responses of net primary productivity alone, increasing to 151% for non-HYBRID4 models. A change in research priorities away from production and toward structural dynamics and demographic processes is recommended.

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Metadata

Authors
Friend, A. D., Lucht, W., Rademacher, T. T., Keribin, R., Betts, R., Cadule, P., Ciais, P., Clark, D. B., Dankers, R., Falloon, P. D., Ito, A., Kahana, R., Kleidon, A., Lomas, M. R., Nishina, K., Ostberg, S., Pavlick, R., Peylin, P., Schaphoff, S., Vuichard, N., Warszawski, L., Wiltshire, A., & Woodward, F. I.
Venue
Proceedings of the National Academy of Sciences
Published
2013-12-16
Volume
111
Issue
9
Pages
3280-3285
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2151162783
Cited by
566
References
25
FWCI
30.22
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Carbon residence time dominates uncertainty in terrestrial vegetation responses to future climate and atmospheric CO 2. https://app.cochat.ai/papers/10.1073/pnas.1222477110
The paper
Friend, A. D., Lucht, W., Rademacher, T. T., Keribin, R., Betts, R., Cadule, P., Ciais, P., Clark, D. B., Dankers, R., Falloon, P. D., Ito, A., Kahana, R., Kleidon, A., Lomas, M. R., Nishina, K., Ostberg, S., Pavlick, R., Peylin, P., Schaphoff, S., . . . Woodward, F. I. (2014). Carbon residence time dominates uncertainty in terrestrial vegetation responses to future climate and atmospheric CO 2. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1222477110

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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