Evidence map›Paper›PMID 38476212›Full record

ArticlePlant-environment interactions (Hoboken, N.J.)2024

Historical tree phenology data reveal the seasonal rhythms of the Congo Basin rainforest.

Elizabeth Kearsley, Hans Verbeeck, Piet Stoffelen, Steven B Janssens, Emmanuel Kasongo Yakusu, Margaret Kosmala, Tom De Mil, Marijn Bauters, Elasi Ramanzani Kitima, José Mbifo Ndiapo and 8 more

Abstract read
In one paragraph

Article in Plant-environment interactions (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Growth periodicity in semi-deciduous tropical tree species from the Congo Basin.Plant-environment interactions (Hoboken, N.J.) · 2024
    Article
  5. 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

18 authors.

Elizabeth KearsleyComputational and Applied Vegetation Ecology Lab, Department of Environment, Faculty of Bioscience Engineering Ghent University Gent Belgium.ORCID https://orcid.org/0000-0003-0046-3606
Hans VerbeeckComputational and Applied Vegetation Ecology Lab, Department of Environment, Faculty of Bioscience Engineering Ghent University Gent Belgium.
Piet StoffelenMeise Botanic Garden Meise Belgium.
Steven B JanssensMeise Botanic Garden Meise Belgium.
Emmanuel Kasongo YakusuUGent-Woodlab (Laboratory of Wood Technology), Department of Environment, Faculty of Bioscience Engineering Ghent University Gent Belgium.
Margaret KosmalaDepartment of Organismic and Evolutionary Biology Harvard University Cambridge Massachusetts USA.
Tom De MilForest is Life, TERRA Teaching and Research Centre, Gembloux Agro Bio-Tech University of Liège Gembloux Belgium.
Marijn BautersIsotope Bioscience Laboratory - ISOFYS, Department of Green Chemistry and Technology Ghent University Gent Belgium.ORCID https://orcid.org/0000-0003-0978-6639
Elasi Ramanzani KitimaInstitut National pour l'Etude et la Recherche Agronomiques-INERA Yangambi Democratic Republic of Congo.
José Mbifo NdiapoInstitut National pour l'Etude et la Recherche Agronomiques-INERA Yangambi Democratic Republic of Congo.
Adelard Lonema ChudaInstitut National pour l'Etude et la Recherche Agronomiques-INERA Yangambi Democratic Republic of Congo.
Andrew D RichardsonCenter for Ecosystem Science and Society Northern Arizona University Flagstaff Arizona USA.ORCID https://orcid.org/0000-0002-0148-6714
Lisa WingateINRAE, UMR ISPA Villenave d'Ornon France.
Bhély Angoboy IlondeaUGent-Woodlab (Laboratory of Wood Technology), Department of Environment, Faculty of Bioscience Engineering Ghent University Gent Belgium.
Hans BeeckmanService of Wood Biology Royal Museum for Central Africa Tervuren Belgium.
Jan van den BulckeUGent-Woodlab (Laboratory of Wood Technology), Department of Environment, Faculty of Bioscience Engineering Ghent University Gent Belgium.
Pascal BoeckxIsotope Bioscience Laboratory - ISOFYS, Department of Green Chemistry and Technology Ghent University Gent Belgium.
Koen HufkensComputational and Applied Vegetation Ecology Lab, Department of Environment, Faculty of Bioscience Engineering Ghent University Gent Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropical forest phenology directly affects regional carbon cycles, but the relation between species-specific and whole-canopy phenology remains largely uncharacterized. We present a unique analysis of historical tropical tree phenology collected in the central Congo Basin, before large-scale impacts of human-induced climate change. Ground-based long-term (1937-1956) phenological observations of 140 tropical tree species are recovered, species-specific phenological patterns analyzed and related to historical meteorological records, and scaled to characterize stand-level canopy dynamics. High phenological variability within and across species and in climate-phenology relationships is observed. The onset of leaf phenophases in deciduous species was triggered by drought and light availability for a subset of species and showed a species-specific decoupling in time along a bi-modal seasonality. The majority of the species remain evergreen, although central African forests experience relatively low rainfall. Annually a maximum of 1.5% of the canopy is in leaf senescence or leaf turnover, with overall phenological variability dominated by a few deciduous species, while substantial variability is attributed to asynchronous events of large and/or abundant trees. Our results underscore the importance of accounting for constituent signals in canopy-wide scaling and the interpretation of remotely sensed phenology signals.

Indexed as

leaf senescenceleaf turnoverphenologyscalingtropical forest

Identifiers

PMID38476212
PMCPMC10926959

What OpenQuestion holds

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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.