Evidence map›Paper›PMID 42642395›Full record

ArticleNature communications2026

NASA's ECOSTRESS satellite reveals widespread midday depression in ecosystem evapotranspiration.

Jingyi Bu, Jingfeng Xiao, Joshua B Fisher, Yiqi Luo

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jingyi BuEarth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, USA.ORCID http://orcid.org/0000-0001-6791-4235
Jingfeng XiaoEarth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, USA. j.xiao@unh.edu.ORCID http://orcid.org/0000-0002-0622-6903
Joshua B FisherSchmid College of Science and Technology, Chapman University, Orange, CA, USA.ORCID http://orcid.org/0000-0003-4734-9085
Yiqi LuoSoil and Crop Sciences Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-4556-0218

Funding

National Aeronautics and Space Administration (NASA) 80NSSC20K0167National Science Foundation (NSF) DEB-2017870
6 · The paper itself

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.

Identifiers

PMID42642395
PMCPMC13507112

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