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Severe drying of the Amazon forest

  • Severe drying of the Amazon forest
    Amazon forest interior, credit Jessica Baker.

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University of Leeds
University of Leeds. The University, established in 1904, is one of the largest higher education institutions in the UK. We are renowned globally for the quality of our teaching and research.

Amazon rain forests could be at far higher risk of extreme drought than previously thought, according to new research.

An international study led by the University warns that huge areas in the eastern part of the Amazon face severe drying by the end of the century if action is not taken to curb carbon emissions.

As a result, large amounts of carbon dioxide would be released from the forest into the atmosphere, adding to the greenhouse gas effect and driving further climate change.

The increased dryness during the Amazon dry season would further threaten the viability of large parts of the rainforest, as trees are already water stressed and there is greater risk of forest fires.

The predicted droughts could also have far-reaching consequences for the Amazon water cycle, biodiversity, and the population that lives in the region.

The findings, published in the journal Environmental Research Letters, predict reductions in rainfall that are comparable to drying seen during severe droughts in 2005 and 2010.

 Aerial view of Amazon forest, credit Jessica Baker.

The research team examined factors regulating the process by which forests transfer water from the soil to the atmosphere – known as evapotranspiration.

Dr Jessica Baker, of the University of Leeds’ School of Earth and Environment, led the study. She said: “People in Brazil and across the globe are rightly concerned about what the future holds for the Amazon, and its valuable store of carbon and biodiversity.

“The Amazon is at risk from the twin threats of deforestation and climate change.

“This new study sheds light on how the Amazon climate is likely to change under an extreme warming scenario. It should ring alarm bells for governments around the world that this vital global resource must not be taken for granted.

“Protecting and expanding existing forests - which absorb and store carbon - is of paramount importance to combatting climate change.”

Key role 

The Amazon basin contains the world’s largest tropical rainforest and plays a key role in global carbon and water cycles.

However, existing climate models disagree on whether the Amazon will become wetter or drier. This makes it difficult for policy makers to predict future droughts, assess wildfire risks or plan climate change mitigation and adaptation strategies.

The research team analysed the results of 38 known Amazon climate models. By ruling out climate predictions from unrealistic models, the patterns of future rainfall change in the Amazon became clearer.

According to the new study, only a third of the 38 models correctly reproduced the interactions between the atmosphere and land surface previously shown by Amazon fieldwork.

By focusing on this smaller group of models, uncertainty in rainfall changes over the whole Amazon basin was reduced by a half.

Predicting rainfall

This group showed wide agreement in predicting future rainfall changes, with severe drying expected in the eastern Amazon over the next 80 years, and, conversely, rainfall increases in the western basin.

Dr Caio Coelho, from the National Institute for Space Research in Brazil, was the study’s co-author. He said: “It’s important to understand how the climate of the Amazon might change in the future.

“This study shows that dry season rainfall reductions in parts of the Amazon could be similar to the drying seen during the major Amazon droughts of 2005 and 2010, which caused widespread tree mortality and had major impacts for Amazon communities.”

Further information

"Robust Amazon precipitation projections in models that capture land-atmosphere interactions" is published in Environmental Research Letters on 22 June 2021.

The research team included: the University of Leeds; University of Manchester; University of Augsburg, Germany; Centre for Weather Forecast and Climatic Studies of the National Institute for Space Research, Brazil; National Centre for Atmospheric Science, Leeds, UK Met Office.

The research was funded by: The Newton Fund, through the Met Office Climate Science for Service Partnership Brazil (CSSP Brazil); The European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (DECAF project, Grant agreement no. 771492); Natural Environment Research Council standard grant (NE/K01353X/1).

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