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Process-oriented analysis of dominant sources of uncertainty in the land carbon sink

  • Michael O’Sullivan
  • , Pierre Friedlingstein
  • , Stephen Sitch
  • , Peter Anthoni
  • , Almut Arneth
  • , Vivek K. Arora
  • , Vladislav Bastrikov
  • , Christine Delire
  • , Daniel S. Goll
  • , Atul Jain
  • , Etsushi Kato
  • , Daniel Kennedy
  • , Jürgen Knauer
  • , Sebastian Lienert
  • , Danica Lombardozzi
  • , Patrick C. McGuire
  • , Joe R. Melton
  • , Julia E.M.S. Nabel
  • , Julia Pongratz
  • , Benjamin Poulter
  • Roland Séférian, Hanqin Tian, Nicolas Vuichard, Anthony P. Walker, Wenping Yuan, Xu Yue, Sönke Zaehle
  • University of Exeter
  • Institute of Meteorology and Climate Research
  • Meteorological Research Branch
  • Université Versailles-Saint Quentin
  • Université Paul Sabatier
  • University of Illinois at Urbana-Champaign
  • Institute of Applied Energy (IAE)
  • National Center for Atmospheric Research
  • Hawkesbury Institute for the Environment
  • Commonwealth Scientific and Industrial Research Organization
  • University of Bern, Institute of Applied Physics
  • University of Reading
  • Max Planck Institute for Meteorology
  • Max Planck Institute for Biogeochemistry
  • Universität München
  • NASA Goddard Space Flight Center
  • Boston College
  • Oak Ridge National Laboratory
  • Sun Yat-Sen University
  • Nanjing University of Information Science and Technology

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

80 Citations (Scopus)

Résumé

The observed global net land carbon sink is captured by current land models. All models agree that atmospheric CO2 and nitrogen deposition driven gains in carbon stocks are partially offset by climate and land-use and land-cover change (LULCC) losses. However, there is a lack of consensus in the partitioning of the sink between vegetation and soil, where models do not even agree on the direction of change in carbon stocks over the past 60 years. This uncertainty is driven by plant productivity, allocation, and turnover response to atmospheric CO2 (and to a smaller extent to LULCC), and the response of soil to LULCC (and to a lesser extent climate). Overall, differences in turnover explain ~70% of model spread in both vegetation and soil carbon changes. Further analysis of internal plant and soil (individual pools) cycling is needed to reduce uncertainty in the controlling processes behind the global land carbon sink.

langue originaleAnglais
Numéro d'article4781
journalNature Communications
Volume13
Numéro de publication1
Les DOIs
étatPublié - 1 déc. 2022

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

  1. SDG 13 - Action climatique
    SDG 13 Action climatique
  2. SDG 15 - Vie sur terre
    SDG 15 Vie sur terre

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