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Recurrent droughts increase risk of cascading tipping events by outpacing adaptive capacities in the Amazon rainforest
Tipping elements are nonlinear subsystems of the Earth system that have the potential to abruptly shift to another state if environmental change occurs close to a critical threshold with large consequences for human societies and ecosystems. Among these tipping elements may be the Amazon rainforest,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371734/ https://www.ncbi.nlm.nih.gov/pubmed/35917341 http://dx.doi.org/10.1073/pnas.2120777119 |
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author | Wunderling, Nico Staal, Arie Sakschewski, Boris Hirota, Marina Tuinenburg, Obbe A. Donges, Jonathan F. Barbosa, Henrique M. J. Winkelmann, Ricarda |
author_facet | Wunderling, Nico Staal, Arie Sakschewski, Boris Hirota, Marina Tuinenburg, Obbe A. Donges, Jonathan F. Barbosa, Henrique M. J. Winkelmann, Ricarda |
author_sort | Wunderling, Nico |
collection | PubMed |
description | Tipping elements are nonlinear subsystems of the Earth system that have the potential to abruptly shift to another state if environmental change occurs close to a critical threshold with large consequences for human societies and ecosystems. Among these tipping elements may be the Amazon rainforest, which has been undergoing intensive anthropogenic activities and increasingly frequent droughts. Here, we assess how extreme deviations from climatological rainfall regimes may cause local forest collapse that cascades through the coupled forest–climate system. We develop a conceptual dynamic network model to isolate and uncover the role of atmospheric moisture recycling in such tipping cascades. We account for heterogeneity in critical thresholds of the forest caused by adaptation to local climatic conditions. Our results reveal that, despite this adaptation, a future climate characterized by permanent drought conditions could trigger a transition to an open canopy state particularly in the southern Amazon. The loss of atmospheric moisture recycling contributes to one-third of the tipping events. Thus, by exceeding local thresholds in forest adaptive capacity, local climate change impacts may propagate to other regions of the Amazon basin, causing a risk of forest shifts even in regions where critical thresholds have not been crossed locally. |
format | Online Article Text |
id | pubmed-9371734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-93717342023-02-02 Recurrent droughts increase risk of cascading tipping events by outpacing adaptive capacities in the Amazon rainforest Wunderling, Nico Staal, Arie Sakschewski, Boris Hirota, Marina Tuinenburg, Obbe A. Donges, Jonathan F. Barbosa, Henrique M. J. Winkelmann, Ricarda Proc Natl Acad Sci U S A Physical Sciences Tipping elements are nonlinear subsystems of the Earth system that have the potential to abruptly shift to another state if environmental change occurs close to a critical threshold with large consequences for human societies and ecosystems. Among these tipping elements may be the Amazon rainforest, which has been undergoing intensive anthropogenic activities and increasingly frequent droughts. Here, we assess how extreme deviations from climatological rainfall regimes may cause local forest collapse that cascades through the coupled forest–climate system. We develop a conceptual dynamic network model to isolate and uncover the role of atmospheric moisture recycling in such tipping cascades. We account for heterogeneity in critical thresholds of the forest caused by adaptation to local climatic conditions. Our results reveal that, despite this adaptation, a future climate characterized by permanent drought conditions could trigger a transition to an open canopy state particularly in the southern Amazon. The loss of atmospheric moisture recycling contributes to one-third of the tipping events. Thus, by exceeding local thresholds in forest adaptive capacity, local climate change impacts may propagate to other regions of the Amazon basin, causing a risk of forest shifts even in regions where critical thresholds have not been crossed locally. National Academy of Sciences 2022-08-02 2022-08-09 /pmc/articles/PMC9371734/ /pubmed/35917341 http://dx.doi.org/10.1073/pnas.2120777119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Physical Sciences Wunderling, Nico Staal, Arie Sakschewski, Boris Hirota, Marina Tuinenburg, Obbe A. Donges, Jonathan F. Barbosa, Henrique M. J. Winkelmann, Ricarda Recurrent droughts increase risk of cascading tipping events by outpacing adaptive capacities in the Amazon rainforest |
title | Recurrent droughts increase risk of cascading tipping events by outpacing adaptive capacities in the Amazon rainforest |
title_full | Recurrent droughts increase risk of cascading tipping events by outpacing adaptive capacities in the Amazon rainforest |
title_fullStr | Recurrent droughts increase risk of cascading tipping events by outpacing adaptive capacities in the Amazon rainforest |
title_full_unstemmed | Recurrent droughts increase risk of cascading tipping events by outpacing adaptive capacities in the Amazon rainforest |
title_short | Recurrent droughts increase risk of cascading tipping events by outpacing adaptive capacities in the Amazon rainforest |
title_sort | recurrent droughts increase risk of cascading tipping events by outpacing adaptive capacities in the amazon rainforest |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371734/ https://www.ncbi.nlm.nih.gov/pubmed/35917341 http://dx.doi.org/10.1073/pnas.2120777119 |
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