NASA’s ECOSTRESS satellite reveals widespread midday depression in ecosystem evapotranspiration

Plants often exhibit a midday depression in water use (i.e., transpiration), reflecting a constraint on their ability to sustain maximum water transport, which may occur at the cost of reduced photosynthesis. Eddy covariance observations and geostationary satellites cannot quantify this widespread phenomenon globally while resolving fine-scale spatial variability. Using evapotranspiration measurements from the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) and machine learning, we quantify the global distribution of midday depression in evapotranspiration. Midday depression primarily occurs during peak-growing seasons in temperate zones and dry periods in the tropics, with a morning shift of the peak evapotranspiration time by > 0.5 h. Droughts and heatwaves intensify midday depression, with peak evapotranspiration time shifting earlier, typically by 0.5 to 1.5 h and approaching 2 h during local extremes. By contrast, the coarse resolution upscaled flux products and hourly meteorological reanalysis datasets cannot capture this phenomenon. Midday depression of evapotranspiration detected using ECOSTRESS and machine learning is strongly associated with plant water stress, and helps us better understand how plants use water during drought and heatwaves.

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Publication Details

Journal
Nature Communications
Published
2026-08-25
DOI
https://doi.org/10.1038/s41467-026-76873-x
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

NASA’s ECOSTRESS satellite reveals widespread midday depression in ecosystem evapotranspiration

Jingfeng Xiao, J B Fisher, Yiqi Luo, Jingyi Bu
Nature Communications
Plant Water Relations and Carbon Dynamics
article

NASA’s ECOSTRESS satellite reveals widespread midday depression in ecosystem evapotranspiration

Jingfeng Xiao, J B Fisher, Yiqi Luo, Jingyi Bu
article en

Abstract

Plants often exhibit a midday depression in water use (i.e., transpiration), reflecting a constraint on their ability to sustain maximum water transport, which may occur at the cost of reduced photosynthesis. Eddy covariance observations and geostationary satellites cannot quantify this widespread phenomenon globally while resolving fine-scale spatial variability. Using evapotranspiration measurements from the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) and machine learning, we quantify the global distribution of midday depression in evapotranspiration. Midday depression primarily occurs during peak-growing seasons in temperate zones and dry periods in the tropics, with a morning shift of the peak evapotranspiration time by > 0.5 h. Droughts and heatwaves intensify midday depression, with peak evapotranspiration time shifting earlier, typically by 0.5 to 1.5 h and approaching 2 h during local extremes. By contrast, the coarse resolution upscaled flux products and hourly meteorological reanalysis datasets cannot capture this phenomenon. Midday depression of evapotranspiration detected using ECOSTRESS and machine learning is strongly associated with plant water stress, and helps us better understand how plants use water during drought and heatwaves.

Nature CommunicationsVol. 17(1)
University of New Hampshire (US), Chapman University (US), Cornell University (US), Hydrosolutions (Switzerland) (CH)
National Science Foundation, National Aeronautics and Space Administration, Carnegie Institution of Washington, Jet Propulsion Laboratory
Openalex Percentile: Top 35%
Plant Water Relations and Carbon Dynamics
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