Evidence map›Paper›PMID 42432464›Full record

ArticleThe New phytologist2026

Maximum water stress is decoupled from climate, traits, and growth in a xeric oak.

Leander D L Anderegg, Robert P Skelton, Jessica Diaz, Prahlad Papper, Piper Lovegreen, Anna T Trugman, David D Ackerly, Todd E Dawson

Abstract read
In one paragraph

Article in The New phytologist, 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

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

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

8 authors.

Leander D L AndereggUC Santa Barbara, Ecology, Evolution & Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, 93106-9620, USA.ORCID https://orcid.org/0000-0002-5144-7254
Robert P SkeltonUniversity of Witwatersrand, School of Animal, Plant and Environmental Sciences, Johannesburg, 2092, South Africa.ORCID https://orcid.org/0000-0003-2768-6420
Jessica DiazUC Berkeley, Integrative Biology, Berkeley, CA, 94720, USA.
Prahlad PapperUC Berkeley, Integrative Biology, Berkeley, CA, 94720, USA.
Piper LovegreenUC Santa Barbara, Ecology, Evolution & Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, 93106-9620, USA.ORCID https://orcid.org/0009-0005-1186-8635
Anna T TrugmanUC Santa Barbara, Geography, Santa Barbara, CA, 93106, USA.ORCID https://orcid.org/0000-0002-7903-9711
David D AckerlyUC Berkeley, Integrative Biology, Berkeley, CA, 94720, USA.ORCID https://orcid.org/0000-0002-1847-7398
Todd E DawsonUC Berkeley, Integrative Biology, Berkeley, CA, 94720, USA.ORCID https://orcid.org/0000-0002-6871-3440

Funding

California Department of Forestry and Fire Protection 8GG21813California Department of Forestry and Fire Protection 8GG23808Division of Biological Infrastructure 1711243Division of Environmental Biology 1457400Division of Integrative Organismal Systems 2003205Division of Integrative Organismal Systems 2216855Gordon and Betty Moore Foundation 11974Gordon and Betty Moore Foundation 13283
6 · The paper itself

Abstract

Our ability to explain and predict the spatial patterns of forest mortality remains limited. We tested the predictability of water stress across populations and explored how water availability and plant allocation mediate spatial variation in tree growth in a widespread oak species (Quercus douglasii Hook & Arn.). We conducted a range-wide survey of drought stress, xylem water isotopes, growth, and allocation traits across 15 sites spanning almost 1000 m difference in annual precipitation. We found little relationship between end-of-season water availability (predawn leaf water potentials) or maximum stress (midday water potentials) and climate or soils. Instead, stem water stable isotopes indicated that water availability was predicted by access to deep water resources derived from large winter storms. We also found a three-way decoupling of water stress, prior growth, and allocation to leaf tissue, such that simulated hydraulic risk from a mechanistic model was uncorrelated with observed performance. Our results reveal that deeply rooted trees can be hydrologically decoupled from aboveground climate, and that the seasonality of growth, trait development, and hydraulic risk are phenologically disconnected. The complicated relationship between carbon gain and hydraulic risk in seasonal environments and limited data on critical zone hydrology are key challenges to predicting drought vulnerability.

Indexed as

ClimateQuantitative Trait, HeritableQuercusStress, PhysiologicalWaterDrought ResistanceDroughtsModels, BiologicalPlant LeavesPlant StemsSeasonsSoilXylemSoilWatercritical zonedeuteriumHuber valueleaf area to sapwood area ratiooxygen isotopetrait–environment relationshipstrait–growth relationships

Identifiers

PMID42432464
PMCPMC13443000

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.