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Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests

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posted on 2025-08-01, 16:47 authored by JV Tavares, RS Oliveira, M Mencuccini, C Signori-Müller, L Pereira, FC Diniz, M Gilpin, MJ Marca Zevallos, CA Salas Yupayccana, M Acosta, FM Pérez Mullisaca, FDV Barros, P Bittencourt, H Jancoski, MC Scalon, BS Marimon, I Oliveras Menor, BH Marimon, M Fancourt, A Chambers-Ostler, A Esquivel-Muelbert, L Rowland, P Meir, AC Lola da Costa, A Nina, JMB Sanchez, JS Tintaya, RSC Chino, J Baca, L Fernandes, ERM Cumapa, JAR Santos, R Teixeira, L Tello, MTM Ugarteche, GA Cuellar, F Martinez, A Araujo-Murakami, E Almeida, WJA da Cruz, J del Aguila Pasquel, L Aragāo, TR Baker, PB de Camargo, R Brienen, W Castro, SC Ribeiro, F Coelho de Souza, EG Cosio, N Davila Cardozo, R da Costa Silva, M Disney, JS Espejo, TR Feldpausch, L Ferreira, L Giacomin, N Higuchi, M Hirota, E Honorio, W Huaraca Huasco, S Lewis, G Flores Llampazo, Y Malhi, A Monteagudo Mendoza, P Morandi, V Chama Moscoso, R Muscarella, D Penha, MC Rocha, G Rodrigues, AR Ruschel, N Salinas, M Schlickmann, M Silveira, J Talbot, R Vásquez, L Vedovato, SA Vieira, OL Phillips, E Gloor, DR Galbraith
Tropical forests face increasing climate risk, yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, Ψ 50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk, little is known about how these vary across Earth’s largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters Ψ 50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both Ψ 50 and HSM50 influence the biogeographical distribution of Amazon tree species. However, HSM50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM50 are gaining more biomass than are low HSM50 forests. We propose that this may be associated with a growth–mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate change is likely to further reduce HSM50 in the Amazon, with strong implications for the Amazon carbon sink.

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© The Author(s) 2023. Open access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Notes

This is the final version. Available on open access from Nature Research via the DOI in this record Data availability: The pan-Amazonian HT dataset (Ψ 50, Ψ dry and HSM50) and branch wood density per species per site, as well as forest dynamic and climate data per plot presented in this study are available as a ForestPlots.net data package at https://forestplots.net/data-packages/Tavares-et-al-2023. Basal area weighted mean LMA is shown in Supplementary Table 2. Species stem wood density data were obtained from Global Wood Density database65,66. Species WDA data were extracted from ref. 45. Code availability: The codes to recreate the main analyses and the main figures presented in this study are available as a ForestPlots.net data package at https://forestplots.net/data-packages/Tavares-et-al-2023.

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Nature

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Nature Research

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  • Version of Record

Language

en

FCD date

2023-04-27T11:40:13Z

FOA date

2023-04-27T11:42:05Z

Citation

Published online 26 April 2023

Department

  • Geography

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