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An improved approach to estimate the natural land carbon sink
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  • Published: 23 January 2026

An improved approach to estimate the natural land carbon sink

  • Michael O’Sullivan1,
  • Pierre Friedlingstein1,2,
  • Stephen Sitch1,
  • Julia Pongratz3,4,
  • Clemens Schwingshackl4,
  • Thomas Gasser5,6,
  • Philippe Ciais6,
  • Vivek Arora7,
  • Etsushi Kato8,
  • Jürgen Knauer9,
  • Erwan Monier10,
  • Tobias Nützel4,
  • Qing Sun11,12,13,
  • Wenping Yuan14,
  • Xu Yue15 &
  • …
  • Sönke Zaehle16 

npj Climate and Atmospheric Science , Article number:  (2026) Cite this article

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Subjects

  • Climate sciences
  • Ecology
  • Environmental sciences

Abstract

The natural land carbon sink (SLAND) absorbs roughly 25–30% of anthropogenic CO2 emissions, thus playing a critical role in offsetting climate warming. In the Global Carbon Budget (GCB), SLAND is estimated using model simulations that isolate the carbon response of land to environmental changes (i.e. rising atmospheric CO2, nitrogen deposition, and changes in climate). However, these simulations assume fixed pre-industrial land cover, failing to represent today’s human-altered landscapes. This leads to a systematic overestimation of forest area, and thus CO2 sink strength, in regions heavily altered by human activity. We present a new process-based approach to estimate SLAND using Dynamic Global Vegetation Models. Our corrected estimate reduces SLAND by ~20% (0.6 PgC yr-1) over 2015–2024, from 3.00 ± 0.94 to 2.42 ± 0.77 PgC yr-1. We incorporate this new SLAND estimate with emissions from land-use change from bookkeeping models, to estimate a net land sink of 1.19 ± 1.04 PgC yr-1, which aligns closely with atmospheric inversion constraints. This downward revision of SLAND reduces the magnitude of the budget imbalance for 2015–2024, indicating a more consistent partitioning of the global carbon budget.

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Data availability

All DGVM data is freely available to download from: https://globalcarbonbudgetdata.org/closed-access-requests.html. The SLAND and RSS estimates are available at: https://doi.org/10.5281/zenodo.17515195 Global Carbon Budget data is available from: https://globalcarbonbudget.org.

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Acknowledgements

For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission. No funding was granted for this study.

Author information

Authors and Affiliations

  1. Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK

    Michael O’Sullivan, Pierre Friedlingstein & Stephen Sitch

  2. Laboratoire de Météorologie Dynamique, Institut Pierre-Simon Laplace, CNRS, Ecole Normale Supérieure, Université PSL, Sorbonne Université, Ecole Polytechnique, Paris, France

    Pierre Friedlingstein

  3. Department of Geography, Ludwig-Maximilians-Universität München, Munich, Germany

    Julia Pongratz

  4. Max Planck Institute for Meteorology, Hamburg, Germany

    Julia Pongratz, Clemens Schwingshackl & Tobias Nützel

  5. International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria

    Thomas Gasser

  6. Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France

    Thomas Gasser & Philippe Ciais

  7. Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC, Canada

    Vivek Arora

  8. Institute of Applied Energy (IAE), Minato City, Japan

    Etsushi Kato

  9. School of Life Sciences, Faculty of Science, University of Technology Sydney, Ultimo, Australia

    Jürgen Knauer

  10. Department of Land, Air and Water Resources, University of California, Davis, CA, USA

    Erwan Monier

  11. Wyss Academy for Nature, University of Bern, Bern, Switzerland

    Qing Sun

  12. Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland

    Qing Sun

  13. Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland

    Qing Sun

  14. Institute of Carbon Neutrality, College of Urban and Environmental Sciences, Peking University, Beijing, China

    Wenping Yuan

  15. School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, China

    Xu Yue

  16. Max Planck Institute for Biogeochemistry, Jena, Germany

    Sönke Zaehle

Authors
  1. Michael O’Sullivan
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  2. Pierre Friedlingstein
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  16. Sönke Zaehle
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Contributions

M.O.S. and J.P. designed the study with input from P.F., S.S., C.S., T.G., and P.C. V.A., E.K., J.K., E.M., T.N., Q.S., W.Y., X.U., and S.Z. provided the DGVM data. MOS wrote the first draft and all authors contributed to the writing of the submitted manuscript.

Corresponding author

Correspondence to Michael O’Sullivan.

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Competing interests

The authors declare no competing interests.

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O’Sullivan, M., Friedlingstein, P., Sitch, S. et al. An improved approach to estimate the natural land carbon sink. npj Clim Atmos Sci (2026). https://doi.org/10.1038/s41612-025-01302-7

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  • Received: 04 August 2025

  • Accepted: 10 December 2025

  • Published: 23 January 2026

  • DOI: https://doi.org/10.1038/s41612-025-01302-7

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