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Dieback of the Amazon rainforest under climate change in the latest Earth system models

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Abrupt shifts detected in the Amazon by the described algorithm and example time series for dieback shifts. (a–h) Maps of detected abrupt shifts. Grid points colored red indicate detected abrupt dieback shifts where the direction of the overall trend and the abrupt shift are both negative. (h) Example time series for detected dieback shifts in each model, corresponding to grid points highlighted by black crosses. Credit: Earth System Dynamics (2022). DOI: 10.5194/esd-13-1667-2022

Dieback of the Amazon rainforest has long been touted as a possible climate tipping point, even though only a small minority of Earth System Models were projecting dieback.

A new study by researchers at the University of Exeter shows that this situation has now changed. Among the latest Earth System Models which simulate changes in forest carbon, most models now produce dieback events due to climate change in Amazonia.

Previous studies had suggested that once the tipping point is crossed in the Amazon, the whole region would experience severe dieback, but the new study—published in the journal Earth System Dynamics—finds that many of the latest models instead project localized dieback events.

The research team, from the University of Exeter, say that while we may not be at severe risk of losing the entirety of the Amazon rainforest due to climate change alone, localized dieback would still have severe consequences for the local communities and ecosystems.

“Though we see little change in forest carbon across the Amazon, five of the seven models we study show localized abrupt dieback events under global warming,” said lead author Isobel Parry, of Exeter’s Department of Mathematics and Statistics.

“It is important to remember that even localized dieback can have severe consequences. This study suggests that for every degree of warming above 1.5°C, up to 12% of Northern Amazonia will experience abrupt downward shifts in vegetation carbon.”

The Exeter team also found that many of the detected abrupt shifts in vegetation carbon are preceded by increases in the amplitude of the temperature seasonal cycle, which is consistent with more extreme dry seasons.

A related study led by Dr. Paul Ritchie—recently published in the journal Communications Earth & Environment—found that drying in the Amazon rainforest is associated with increases in the amplitude of the temperature seasonal cycle in both models and observations.

“From observational temperature data we can now infer that the Amazon has been consistently drying for more than one hundred years. Earth System Models project a continued drying into the future under global warming and therefore gives us further reason to be concerned about climate-driven rainforest dieback in the Amazon,” said Dr. Paul Ritchie also from the Department of Mathematics and Statistics at the University of Exeter.

As senior author Professor Peter Cox put it, “Together, these studies provide a firmer basis for detecting drying that could lead to Amazon forest dieback, but they also heighten our concerns about forest dieback under climate change.”

More information:
Isobel M. Parry et al, Evidence of localised Amazon rainforest dieback in CMIP6 models, Earth System Dynamics (2022). DOI: 10.5194/esd-13-1667-2022

Paul D. L. Ritchie et al, Increases in the temperature seasonal cycle indicate long-term drying trends in Amazonia, Communications Earth & Environment (2022). DOI: 10.1038/s43247-022-00528-0

Provided by
University of Exeter


Citation:
Dieback of the Amazon rainforest under climate change in the latest Earth system models (2022, November 25)
retrieved 25 November 2022
from https://phys.org/news/2022-11-dieback-amazon-rainforest-climate-latest.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.




Dieback of the Amazon rainforest under climate change in the latest Earth system models
Abrupt shifts detected in the Amazon by the described algorithm and example time series for dieback shifts. (a–h) Maps of detected abrupt shifts. Grid points colored red indicate detected abrupt dieback shifts where the direction of the overall trend and the abrupt shift are both negative. (h) Example time series for detected dieback shifts in each model, corresponding to grid points highlighted by black crosses. Credit: Earth System Dynamics (2022). DOI: 10.5194/esd-13-1667-2022

Dieback of the Amazon rainforest has long been touted as a possible climate tipping point, even though only a small minority of Earth System Models were projecting dieback.

A new study by researchers at the University of Exeter shows that this situation has now changed. Among the latest Earth System Models which simulate changes in forest carbon, most models now produce dieback events due to climate change in Amazonia.

Previous studies had suggested that once the tipping point is crossed in the Amazon, the whole region would experience severe dieback, but the new study—published in the journal Earth System Dynamics—finds that many of the latest models instead project localized dieback events.

The research team, from the University of Exeter, say that while we may not be at severe risk of losing the entirety of the Amazon rainforest due to climate change alone, localized dieback would still have severe consequences for the local communities and ecosystems.

“Though we see little change in forest carbon across the Amazon, five of the seven models we study show localized abrupt dieback events under global warming,” said lead author Isobel Parry, of Exeter’s Department of Mathematics and Statistics.

“It is important to remember that even localized dieback can have severe consequences. This study suggests that for every degree of warming above 1.5°C, up to 12% of Northern Amazonia will experience abrupt downward shifts in vegetation carbon.”

The Exeter team also found that many of the detected abrupt shifts in vegetation carbon are preceded by increases in the amplitude of the temperature seasonal cycle, which is consistent with more extreme dry seasons.

A related study led by Dr. Paul Ritchie—recently published in the journal Communications Earth & Environment—found that drying in the Amazon rainforest is associated with increases in the amplitude of the temperature seasonal cycle in both models and observations.

“From observational temperature data we can now infer that the Amazon has been consistently drying for more than one hundred years. Earth System Models project a continued drying into the future under global warming and therefore gives us further reason to be concerned about climate-driven rainforest dieback in the Amazon,” said Dr. Paul Ritchie also from the Department of Mathematics and Statistics at the University of Exeter.

As senior author Professor Peter Cox put it, “Together, these studies provide a firmer basis for detecting drying that could lead to Amazon forest dieback, but they also heighten our concerns about forest dieback under climate change.”

More information:
Isobel M. Parry et al, Evidence of localised Amazon rainforest dieback in CMIP6 models, Earth System Dynamics (2022). DOI: 10.5194/esd-13-1667-2022

Paul D. L. Ritchie et al, Increases in the temperature seasonal cycle indicate long-term drying trends in Amazonia, Communications Earth & Environment (2022). DOI: 10.1038/s43247-022-00528-0

Provided by
University of Exeter


Citation:
Dieback of the Amazon rainforest under climate change in the latest Earth system models (2022, November 25)
retrieved 25 November 2022
from https://phys.org/news/2022-11-dieback-amazon-rainforest-climate-latest.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.

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