Event‐Specific Meteorological Drivers Shape Diverse Water‐Use Efficiency Trajectories Under Drought Propagation

Drought propagation from meteorological to soil drought marks a critical phase in regulating vegetation water-carbon dynamics, yet the response trajectories of water-use efficiency (WUE) during these events remain poorly understood. Here, combining global flux tower observations with simulations from Earth System Models (ESMs), we quantified the spatiotemporal patterns of drought propagation characteristics, identified WUE response trajectories for characteristic-specific droughts, and investigated their dominant drivers. We found that 58% of soil droughts follow meteorological droughts. Most sites experience drought propagation events with increasing intensity, faster propagation, and shorter intervals. Among all identifiable trajectories, nonmonotonic patterns account for approximately 60%. WUE response trajectories generally follow continuous and nonmonotonic patterns, dominated by a rise-then-fall pattern. This pattern reflects a process in which vegetation functions regulated by stomatal behavior are initially stressed and then partially recover. Intra-site variability is extremely pronounced, mainly driven by event-specific thermal factors such as air temperature and net radiation. ESMs reproduce broad site-level prevalence of nonmonotonic patterns, but show discrepancies in the relative importance of drivers due to the coupling of different land surface models. These findings challenge the notion of fixed vegetation functional responses and highlight the dynamic variability of response trajectories in relation to event-specific characteristics, and provide concrete diagnostics to guide model improvements.

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Publication Details

Journal
Global Change Biology
Published
2026-01-01
DOI
https://doi.org/10.1111/gcb.70690
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
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article

Event‐Specific Meteorological Drivers Shape Diverse Water‐Use Efficiency Trajectories Under Drought Propagation

Paul C. Stoy, Steven A. Kannenberg, QINCHUAN XIN, Huimin Lei et al.
Global Change Biology
Plant Water Relations and Carbon Dynamics
article

Event‐Specific Meteorological Drivers Shape Diverse Water‐Use Efficiency Trajectories Under Drought Propagation

Paul C. Stoy, Steven A. Kannenberg, QINCHUAN XIN, Huimin Lei, Armen R. Kemanian, F. Li, Julia K. Green, Yuting Yang, Yujiu Xiong, Zheng Fu, Chuixiang Yi
article en

Abstract

Drought propagation from meteorological to soil drought marks a critical phase in regulating vegetation water-carbon dynamics, yet the response trajectories of water-use efficiency (WUE) during these events remain poorly understood. Here, combining global flux tower observations with simulations from Earth System Models (ESMs), we quantified the spatiotemporal patterns of drought propagation characteristics, identified WUE response trajectories for characteristic-specific droughts, and investigated their dominant drivers. We found that 58% of soil droughts follow meteorological droughts. Most sites experience drought propagation events with increasing intensity, faster propagation, and shorter intervals. Among all identifiable trajectories, nonmonotonic patterns account for approximately 60%. WUE response trajectories generally follow continuous and nonmonotonic patterns, dominated by a rise-then-fall pattern. This pattern reflects a process in which vegetation functions regulated by stomatal behavior are initially stressed and then partially recover. Intra-site variability is extremely pronounced, mainly driven by event-specific thermal factors such as air temperature and net radiation. ESMs reproduce broad site-level prevalence of nonmonotonic patterns, but show discrepancies in the relative importance of drivers due to the coupling of different land surface models. These findings challenge the notion of fixed vegetation functional responses and highlight the dynamic variability of response trajectories in relation to event-specific characteristics, and provide concrete diagnostics to guide model improvements.

Global Change BiologyVol. 32(1)
Queens College, CUNY (US), West Virginia University (US), The Graduate Center, CUNY (US), University of Wisconsin System (US), Pennsylvania State University (US), University of Wisconsin–Madison (US), University of Arizona (US), Sun Yat-sen University (CN), City University of New York (US), Chinese Academy of Sciences (CN), Institute of Geographic Sciences and Natural Resources Research (CN), Tsinghua University (CN)
Clean water and sanitation
Openalex Percentile: Top 95%
Plant Water Relations and Carbon Dynamics
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