Multivariate environmental and trait-based controls of transpiration in the Central Amazon Rainforest

• 90-tree monitoring during 2023 El Niño provided unprecedented drought insights. • Transpiration from the studied trees is most responsive to variations in soil water and temperature. • Trait-environment interaction reveals temperature and soil moisture thresholds. • The impact of drought on transpiration is generally less severe in trees with higher wood density. Tropical forest tree mortality is increasing due to more severe droughts, yet our understanding of how tree traits and life strategies are linked to drought stress has been limited by measurement scarcity. The BIONTE (BIOmass and NuTrient Experiment) near Manaus, Brazil hosts one of the world’s largest sap flow installations, with sensors in 90 canopy trees across a wood density gradient monitored since June 2022. The 2023 El Niño drought provided a unique opportunity to evaluate how water availability impacts tree transpiration. An interpretable machine learning framework was used to study the complex interactions between transpiration and multiple environmental variables such as soil water availability and vapor pressure deficit (VPD), and how these interactions vary with wood density and individual trees. We found varying responses of transpiration from different trees during the El Niño drought. Transpiration generally increased with temperature, with stronger effects in wetter areas and in trees with low to medium wood density. However, this response was modulated by stomatal sensitivity to VPD, which constrained transpiration under high atmospheric demand, particularly in intermediate-moisture area. The inflection in transpiration rate at high temperatures (>32°C) underscores the role of stomatal and hydraulic regulation in limiting water loss and protecting trees from excessive evaporative demand. Analysis of soil water contribution to transpiration revealed unimodal patterns in wetter area, with peak contributions near 0.45 cm³ cm⁻³ of surface soil water and declining or flat responses beyond that threshold, suggesting a shift from water- to energy-limited transpiration. In contrast, drier areas exhibited limited transpiration sensitivity to soil water conditions and minimal trait-based variation in VPD responses, indicating supply-limited conditions. Despite higher wood density trees being generally more resilient, this study shows diverse tree drought resilience, prompting further investigation into the specific traits and dynamics between environmental variables in regulating transpiration and other physiological processes in trees.

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Publication Details

Journal
Agricultural and Forest Meteorology
Published
2025-10-31
DOI
https://doi.org/10.1016/j.agrformet.2025.110914
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
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article

Multivariate environmental and trait-based controls of transpiration in the Central Amazon Rainforest

Agricultural and Forest Meteorology
Plant Water Relations and Carbon Dynamics
article

Multivariate environmental and trait-based controls of transpiration in the Central Amazon Rainforest

article en

Abstract

• 90-tree monitoring during 2023 El Niño provided unprecedented drought insights. • Transpiration from the studied trees is most responsive to variations in soil water and temperature. • Trait-environment interaction reveals temperature and soil moisture thresholds. • The impact of drought on transpiration is generally less severe in trees with higher wood density. Tropical forest tree mortality is increasing due to more severe droughts, yet our understanding of how tree traits and life strategies are linked to drought stress has been limited by measurement scarcity. The BIONTE (BIOmass and NuTrient Experiment) near Manaus, Brazil hosts one of the world’s largest sap flow installations, with sensors in 90 canopy trees across a wood density gradient monitored since June 2022. The 2023 El Niño drought provided a unique opportunity to evaluate how water availability impacts tree transpiration. An interpretable machine learning framework was used to study the complex interactions between transpiration and multiple environmental variables such as soil water availability and vapor pressure deficit (VPD), and how these interactions vary with wood density and individual trees. We found varying responses of transpiration from different trees during the El Niño drought. Transpiration generally increased with temperature, with stronger effects in wetter areas and in trees with low to medium wood density. However, this response was modulated by stomatal sensitivity to VPD, which constrained transpiration under high atmospheric demand, particularly in intermediate-moisture area. The inflection in transpiration rate at high temperatures (>32°C) underscores the role of stomatal and hydraulic regulation in limiting water loss and protecting trees from excessive evaporative demand. Analysis of soil water contribution to transpiration revealed unimodal patterns in wetter area, with peak contributions near 0.45 cm³ cm⁻³ of surface soil water and declining or flat responses beyond that threshold, suggesting a shift from water- to energy-limited transpiration. In contrast, drier areas exhibited limited transpiration sensitivity to soil water conditions and minimal trait-based variation in VPD responses, indicating supply-limited conditions. Despite higher wood density trees being generally more resilient, this study shows diverse tree drought resilience, prompting further investigation into the specific traits and dynamics between environmental variables in regulating transpiration and other physiological processes in trees.

Agricultural and Forest MeteorologyVol. 376
Smithsonian Tropical Research Institute (PA), Oak Ridge National Laboratory (US), Los Alamos National Laboratory (US), Pacific Northwest National Laboratory (US), Lawrence Berkeley National Laboratory (US), Instituto Nacional de Pesquisas da Amazônia (BR), Southern Research Station (US), University of California, Berkeley (US)
Openalex Percentile: Top 45%
Plant Water Relations and Carbon Dynamics
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