Implications of the steady-state assumption for the global vegetation carbon turnover

Naixin Fan, Maurizio Santoro, Simon Besnard, Oliver Cartus, Sujan Koirala, Nuno Carvalhais

Research output: Contribution to journalLetterpeer-review

Abstract

Vegetation carbon turnover time (τ) is a central ecosystem property to quantify the global vegetation carbon dynamics. However, our understanding of vegetation dynamics is hampered by the lack of long-term observations of the changes in vegetation biomass. Here we challenge the steady state assumption of τ by using annual changes in vegetation biomass that derived from remote-sensing observations. We evaluate the changes in magnitude, spatial patterns, and uncertainties in vegetation carbon turnover times from 1992 to 2016. We found the robustness in the steady state assumption for forest ecosystems at large spatial scales, contrasting with local larger differences at the grid cell level between τ under steady state and τ under non-steady state conditions. The observation that terrestrial ecosystems are not in a steady state locally is deemed crucial when studying vegetation dynamics and the potential response of biomass to disturbance and climatic changes.
Original languageEnglish
Article number104036
Number of pages9
JournalEnvironmental Research Letters
Volume18
Issue number10
DOIs
Publication statusPublished - 1 Oct 2023

Keywords

  • remote sensing
  • steady state assumption
  • vegetation carbon stock
  • vegetation carbon turnover time

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