Future Drought‐Induced Tree Mortality Risk in Amazon Rainforest

Abstract The future evolution of the Amazon rainforest remains uncertain not only due to uncertain climate projections, but also owing to the intricate balance between tree growth and mortality. Many Earth System Models inadequately represent forest demography processes, especially drought‐induced tree mortality. In this study, we used ORCHIDEE‐CAN‐NHA, a land surface model featuring a mechanistic hydraulic architecture, a tree mortality sub‐model linked to a critical loss of stem conductance and a forest demography module for simulating regrowth. The model was forced by bias‐corrected climate forcing data from the ISIMIP‐2 program, considering two scenarios and four different climate models to project biomass changes in the Amazon rainforest until 2100. These climate models display diverse patterns of climate change across the Amazon region. The simulation conducted with the HadGEM climate model reveals the most significant drying trend, suggesting that the Guiana Shield and East‐central Amazon are approaching a tipping point. These two regions are projected to transition from carbon sinks to carbon sources by the mid‐21st century, with the Brazilian Shield following suit around 2060. This transition is attributed to heightened drought‐induced carbon loss in the future. This study sheds light on uncertainties in the future carbon sink in the Amazon forests, through a well‐calibrated model that incorporates tree mortality triggered by hydraulic damage and the subsequent recovery of drought‐affected forests through demographic processes.

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Publication Details

Journal
Earth s Future
Published
2024-08-01
DOI
https://doi.org/10.1029/2023ef003740
Citations
3
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.85

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article

Future Drought‐Induced Tree Mortality Risk in Amazon Rainforest

Lei Zhu, Yitong Yao, Émilie Joetzjer, Nicolas Viovy et al.
3 citations
Earth s Future
Plant Water Relations and Carbon Dynamics
0.85
article

Future Drought‐Induced Tree Mortality Risk in Amazon Rainforest

Lei Zhu, Yitong Yao, Émilie Joetzjer, Nicolas Viovy, Songbai Hong, Philippe Ciais, Wei Li
article en
3 citations

Abstract

Abstract The future evolution of the Amazon rainforest remains uncertain not only due to uncertain climate projections, but also owing to the intricate balance between tree growth and mortality. Many Earth System Models inadequately represent forest demography processes, especially drought‐induced tree mortality. In this study, we used ORCHIDEE‐CAN‐NHA, a land surface model featuring a mechanistic hydraulic architecture, a tree mortality sub‐model linked to a critical loss of stem conductance and a forest demography module for simulating regrowth. The model was forced by bias‐corrected climate forcing data from the ISIMIP‐2 program, considering two scenarios and four different climate models to project biomass changes in the Amazon rainforest until 2100. These climate models display diverse patterns of climate change across the Amazon region. The simulation conducted with the HadGEM climate model reveals the most significant drying trend, suggesting that the Guiana Shield and East‐central Amazon are approaching a tipping point. These two regions are projected to transition from carbon sinks to carbon sources by the mid‐21st century, with the Brazilian Shield following suit around 2060. This transition is attributed to heightened drought‐induced carbon loss in the future. This study sheds light on uncertainties in the future carbon sink in the Amazon forests, through a well‐calibrated model that incorporates tree mortality triggered by hydraulic damage and the subsequent recovery of drought‐affected forests through demographic processes.

Earth s FutureVol. 12(8)
Centre National de la Recherche Scientifique (FR), Université de Versailles Saint-Quentin-en-Yvelines (FR), Peking University (CN), AgroParisTech (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Laboratoire des Sciences du Climat et de l'Environnement (FR), CEA Paris-Saclay (FR), Université de Lorraine (FR), Tsinghua University (CN)
Agence Nationale de la Recherche, Grand Équipement National De Calcul Intensif
Climate action
Openalex Percentile: Top 28%
Plant Water Relations and Carbon Dynamics
0.85
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