Evidence map›Paper›PMID 39558713›Full record

ArticleThe New phytologist2025

Does optimality partitioning theory fail for belowground traits? Insights from geophysical imaging of a drought-release experiment in a Scots Pine forest.

Alexis Shakas, Roman Hediger, Arthur Gessler, Kamini Singha, Giulia de Pasquale, Petra D'Odorico, Florian M Wagner, Marcus Schaub, Hansruedi Maurer, Holger Griess and 2 more

Abstract read
In one paragraph

Article in The New phytologist, 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. Review
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

12 authors.

Alexis ShakasDepartment of Earth and Planetary Sciences, ETH Zurich, 8092, Zurich, Switzerland.ORCID 0000-0001-6572-4040
Roman HedigerDepartment of Earth and Planetary Sciences, ETH Zurich, 8092, Zurich, Switzerland.
Arthur GesslerSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903, Birmensdorf, Switzerland.ORCID 0000-0002-1910-9589
Kamini SinghaHydrologic Science and Engineering Program, Colorado School of Mines, Golden, CO, 80401, USA.ORCID 0000-0002-0605-3774
Giulia de PasqualeCentro de Estudios Avanzados en Zonas Áridas (CEAZA), 1305, La Serena, Chile.ORCID 0009-0001-6847-9244
Petra D'OdoricoSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903, Birmensdorf, Switzerland.ORCID 0000-0001-9954-8508
Florian M WagnerGeophysical Imaging and Monitoring, RWTH Aachen University, 52062, Aachen, Germany.ORCID 0000-0001-7407-9741
Marcus SchaubSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903, Birmensdorf, Switzerland.ORCID 0000-0002-0158-8892
Hansruedi MaurerDepartment of Earth and Planetary Sciences, ETH Zurich, 8092, Zurich, Switzerland.ORCID 0000-0003-0131-1006
Holger GriessSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903, Birmensdorf, Switzerland.
Jonas GislerSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903, Birmensdorf, Switzerland.ORCID 0009-0002-8975-7845
Katrin MeusburgerSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903, Birmensdorf, Switzerland.ORCID 0000-0003-4623-6249

Funding

NSF EAR-2121659Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 207382Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_189109
6 · The paper itself

Abstract

We investigate the impact of a 20-yr irrigation on root water uptake (RWU) and drought stress release in a naturally dry Scots pine forest. We use a combination of electrical resistivity tomography to image RWU, drone flights to image the crown stress and sensors to monitor soil water content. Our findings suggest that increased water availability enhances root growth and resource use efficiency, potentially increasing trees' resistance to future drought conditions by enabling water uptake from deeper soil layers. This research highlights the significant role of ecological memory and legacy effects in determining tree responses to environmental changes.

Indexed as

DroughtsForestsPinus sylvestrisPlant RootsWaterQuantitative Trait, HeritableSoilStress, PhysiologicalSoilWaterdrone remote sensingdroughtelectrical resistivityirrigationPhotochemical Reflectance IndexPinus sylvestrisroot water uptake

Identifiers

PMID39558713
PMCPMC11655441

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.