Evidence map›Paper›PMID 40634687›Full record

ArticleCommunications biology2025

A test of ecophysiological theories on tropical forest functional traits along a VPD gradient.

Huanyuan Zhang-Zheng, Yadvinder Malhi, Kasia Ziemińska, Agne Gvozdevaite, Theresa Peprah, Mickey Boakye, Stephen Adu-Bredu, Jesús Aguirre-Gutiérrez, Sam Moore, David Sandoval and 3 more

Abstract read
In one paragraph

Article in Communications biology, 2025. 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

13 authors.

Huanyuan Zhang-ZhengEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK. huanyuan.zhang@ouce.ox.ac.uk.ORCID http://orcid.org/0000-0003-4801-8771
Yadvinder MalhiEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-3503-4783
Kasia ZiemińskaEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-7750-4758
Agne GvozdevaiteEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.
Theresa PeprahForestry Research Institute of Ghana, Council for Scientific and Industrial Research, Kumasi, Ghana.
Mickey BoakyeDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA.
Stephen Adu-BreduForestry Research Institute of Ghana, Council for Scientific and Industrial Research, Kumasi, Ghana.ORCID http://orcid.org/0000-0001-7487-7911
Jesús Aguirre-GutiérrezEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-9190-3229
Sam MooreEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.
David SandovalDepartment of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Ascot, UK.ORCID http://orcid.org/0000-0002-4404-6452
Minxue TangDepartment of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Ascot, UK.ORCID http://orcid.org/0000-0003-1746-8411
Iain Colin PrenticeDepartment of Life Sciences, Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Ascot, UK. c.prentice@imperial.ac.uk.ORCID http://orcid.org/0000-0002-1296-6764
Imma Oliveras MenorEnvironmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK. imma.oliverasmenor@ird.fr.ORCID http://orcid.org/0000-0001-5345-2236

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forest primary production is a crucial process for both ecosystem functioning and global carbon cycling. Primary production responds to both temperature and vapour pressure deficit (VPD) through separate mechanisms. Vegetation models need to quantify both responses. However, due to their often high correlations, most observational data sets used to test models or theories hardly distinguish them. Here we evaluate ecophysiological theories on the effect of VPD using tree trait data collected along a VPD gradient in West Africa. Study sites spanned an annual rainfall range of 1200-2050 mm, with varying seasonality but minimal temperature variation. Most photosynthetic traits show trends consistent with predictions from optimality theory, including higher net CO2 assimilation rates and greater photosynthetic capacity at drier sites. These patterns were associated with greater deciduousness, increased respiration rates and enhanced water transport at drier sites. In contrast, hydraulic traits showed weaker consistency with theoretical predictions or global trends, particularly those based on the xylem efficiency-safety tradeoff. Our findings suggest that vegetation models should account for higher photosynthetic capacity in drier regions, but that further research is needed to incorporate hydraulic traits into models.

Indexed as

ForestsTreesTropical ClimateVapor PressureAfrica, WesternCarbon DioxideEcosystemPhotosynthesisTemperatureCarbon Dioxide

Identifiers

PMID40634687
PMCPMC12241516

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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.