Evidence map›Paper›PMID 40249004›Full record

ArticleGlobal change biology2025

The Unstable Relationship Between Drought Status and Leaf Water Content Complicates the Remote Sensing of Tree Drought Stress.

Indra Boving, Jean Allen, Philip G Brodrick, K Dana Chadwick, Anna Trugman, Leander D L Anderegg

Abstract read
In one paragraph

Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

6 authors.

Indra BovingDepartment of Ecology, Evolution, and Marine Biology, University of California Santa Barbara, Santa Barbara, California, USA.ORCID 0000-0002-2176-2819
Jean AllenDepartment of Geography, University of California Santa Barbara, Santa Barbara, California, USA.ORCID 0000-0001-9299-9912
Philip G BrodrickJet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.ORCID 0000-0001-9497-7661
K Dana ChadwickJet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.ORCID 0000-0002-5633-4865
Anna TrugmanDepartment of Geography, University of California Santa Barbara, Santa Barbara, California, USA.ORCID 0000-0002-7903-9711
Leander D L AndereggDepartment of Ecology, Evolution, and Marine Biology, University of California Santa Barbara, Santa Barbara, California, USA.ORCID 0000-0002-5144-7254

Funding

California Department of Forestry and Fire Protection 8GG21813Gordon and Betty Moore Foundation 11974Jet Propulsion Laboratory 80NM0018D0004National Science Foundation 2003205National Science Foundation 2216855
6 · The paper itself

Abstract

Remote sensing holds promise for ecosystem-level monitoring of plant drought stress but is limited by uncertain linkages between physiological stress and remotely sensed metrics of water content. Here, we investigate the stability of relationships between water potential (Ψ) and water content (measured in situ and via repeat airborne VSWIR imaging) over diel, seasonal, and spatial variation in two xeric oak tree species. We also compare these field-based relationships with ones established in laboratory settings that might be used as calibration. Due to confounding physiological processes related to growth, both in situ and remotely sensed metrics lacked consistent relationships with stress when measured across space or through time. Relationships between water content and physiological drought stress measured over the growing season were stronger and more closely related to established laboratory-based drydown methods than those measured across space (i.e., between wet trees and dry trees). These results provide insight into the utility of "space for time" approaches in remote sensing and demonstrate both important limitations and the potential power of high temporal resolution remote sensing for detecting drought stress.

Indexed as

DroughtsPlant LeavesQuercusRemote Sensing TechnologyStress, PhysiologicalTreesWaterSeasonsWaterequivalent water thicknessleaf water contentleaf water content per areaSBG high‐frequency time seriesSHIFTVSWIR

Identifiers

PMID40249004
PMCPMC12007071

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.