Evidence map›Paper›PMID 41341146›Full record

ArticleNPJ science of plants2025

Hot and Hungry - High temperatures induce changes in leaf carbon dynamics and sugar isotope fingerprints.

Philipp Schuler, Margaux Didion-Gency, Valentina Vitali, Matthias Saurer, Manuela Oettli, Haoyu Diao, Nina Buchmann, Arthur Gessler, Marco M Lehmann

Abstract read
In one paragraph

Article in NPJ science of plants, 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

9 authors.

Philipp SchulerForest and Soil Ecology, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.ORCID 0000-0002-5711-2535
Margaux Didion-GencyEcological and Forestry Applications Research Center (CREAF), Cerdanyola del Valley, Spain.ORCID 0000-0001-8967-3655
Valentina VitaliForest and Soil Ecology, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.ORCID 0000-0002-3045-6178
Matthias SaurerForest and Soil Ecology, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.ORCID 0000-0002-3954-3534
Manuela OettliForest and Soil Ecology, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.
Haoyu DiaoForest and Soil Ecology, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.ORCID 0000-0002-8404-1998
Nina BuchmannDepartment of Environmental Systems Science, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-0826-2980
Arthur GesslerForest and Soil Ecology, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.ORCID 0000-0002-1910-9589
Marco M LehmannForest and Soil Ecology, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.ORCID 0000-0003-2962-3351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting vegetation responses to global warming and reconstructing them from stable isotope records requires a clear understanding of how they respond to temperature. We investigated leaf carbon-dynamics (gas exchange, non-structural carbohydrate (NSC)) and the hydrogen (δ²H) and oxygen (δ¹⁸O) isotopic composition of leaf water and sugars in well-watered C₃ trees, forbs, grasses, and one C₄ grass across air temperatures from 10 °C to 40 °C at a low VPD. In C₃ species, temperatures ≥30 °C reduced A

Indexed as

Environmental sciencesHeatPlant physiology

Identifiers

PMID41341146
PMCPMC12669037

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.