Preprints
https://doi.org/10.5194/egusphere-2023-2734
https://doi.org/10.5194/egusphere-2023-2734
07 Dec 2023
 | 07 Dec 2023

Observation-inferred resilience loss of the Amazon rain forest possibly due to internal climate variability

Raphael Grodofzig, Martin Renoult, and Thorsten Mauritsen

Abstract. Recent observation-based studies suggest that the Amazon rain forest has lost substantial resilience since 1990, indicating that the forest might undergo a critical transition in the near future due to global warming and deforestation. The idea is to use trends in lag-1 auto-correlation of leaf density as an early warning signal of an imminent critical threshold for rain forest dieback. Here we test whether the observed change in auto-correlations could arise from internal variability by using historical and control simulations of nine sixth-generation Earth system model ensembles (Phase 6 of the Coupled Model Intercomparison Project, CMIP6). We quantify trends in leaf area index auto-correlation from both models and satellite observed vegetation optical depth from 1990 to 2017. Four models reproduce the observed trend with at least one historical realization, whereby the observations lie at the upper limit of model variability. Three out of these four models exhibit similar behavior in control runs, suggesting that historical forcing is not necessary for simulating the observed trends. Furthermore, we do not observe a critical transition in any future runs under the strongest greenhouse gas emission scenario (SSP5-8.5) until 2100 in the four models that best reproduce the past observed trends. Hence, the currently observed trends could be caused simply by internal variability, and, unless the data records are extended, have limited applicability as an early warning signal. Our results suggest that the current rapid decline in Amazon rain forest coverage is mainly caused by local actors.

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Raphael Grodofzig, Martin Renoult, and Thorsten Mauritsen

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2734', Anonymous Referee #1, 22 Jan 2024
    • AC1: 'Reply on RC1', Raphael Grodofzig, 24 Apr 2024
  • RC2: 'Comment on egusphere-2023-2734', Anonymous Referee #2, 28 Feb 2024
    • AC2: 'Reply on RC2', Raphael Grodofzig, 24 Apr 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2734', Anonymous Referee #1, 22 Jan 2024
    • AC1: 'Reply on RC1', Raphael Grodofzig, 24 Apr 2024
  • RC2: 'Comment on egusphere-2023-2734', Anonymous Referee #2, 28 Feb 2024
    • AC2: 'Reply on RC2', Raphael Grodofzig, 24 Apr 2024
Raphael Grodofzig, Martin Renoult, and Thorsten Mauritsen
Raphael Grodofzig, Martin Renoult, and Thorsten Mauritsen

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The Amazon forest is frequently discussed as a tipping element in the Earth System. This study uses a multi-model multi-member ensemble of climate model simulations with interactive vegetation dynamics to evidence the importance of local land-management strategies for increasing Amazon resilience.
Short summary
We investigate whether the Amazon rain forest has lost substantial resilience since 1990. This assertion is based on trends in the observational record of vegetation density. We calculate the same metrics in a large number of climate model simulations and find that several models behave indistinguishably from the observations. This suggests that the observed trend could be caused by internal variability and that the cause of the ongoing rapid loss of Amazon rain forest is due to local actors.