Evidence map›Paper›PMID 31834943›Full record

ArticleThe New phytologist2020

On the importance of root traits in seedlings of tropical tree species.

Coline C F Boonman, Frank van Langevelde, Imma Oliveras, Jeremy Couédon, Natascha Luijken, David Martini, Elmar M Veenendaal

Abstract read
In one paragraph

Article in The New phytologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Use ofMicroorganisms · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Below-ground traits mediate tree survival in a tropical dry forest restoration.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  11. Tree seedling growth allocation ofFrontiers in plant science · 2023
    Article
  12. Article
  13. 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

7 authors.

Coline C F BoonmanEnvironmental Science, Radboud University, 6525 AJ, Nijmegen, the Netherlands.ORCID 0000-0003-2417-1579
Frank van LangeveldeWildife Ecology and Conservation Group, Wageningen University, 6700 AA, Wageningen, the Netherlands.ORCID 0000-0001-8870-0797
Imma OliverasChange Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK.ORCID 0000-0001-5345-2236
Jeremy CouédonPlant Ecology and Nature Conservation Group, Wageningen University, 6700 AA, Wageningen, the Netherlands.
Natascha LuijkenPlant Ecology and Nature Conservation Group, Wageningen University, 6700 AA, Wageningen, the Netherlands.ORCID 0000-0002-5611-4125
David MartiniPlant Ecology and Nature Conservation Group, Wageningen University, 6700 AA, Wageningen, the Netherlands.ORCID 0000-0003-2180-5126
Elmar M VeenendaalPlant Ecology and Nature Conservation Group, Wageningen University, 6700 AA, Wageningen, the Netherlands.ORCID 0000-0001-8230-2501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant biomass allocation may be optimized to acquire and conserve resources. How trade-offs in the allocation of tropical tree seedlings depend on different stressors remains poorly understood. Here we test whether above- and below-ground traits of tropical tree seedlings could explain observed occurrence along gradients of resources (light, water) and defoliation (fire, herbivory). We grew 24 tree species occurring in five African vegetation types, varying from dry savanna to moist forest, in a glasshouse for 6 months, and measured traits associated with biomass allocation. Classification based on above-ground traits resulted in clusters representing savanna and forest species, with low and high shoot investment, respectively. Classification based on root traits resulted in four clusters representing dry savanna, humid savanna, dry forest and moist forest, characterized by a deep mean rooting depth, root starch investment, high specific root length in deeper soil layers, and high specific root length in the top soil layer, respectively. In conclusion, tree seedlings in this study show root trait syndromes, which vary along gradients of resources and defoliation: seedlings from dry areas invest in deep roots, seedlings from shaded environments optimize shoot investment, and seedlings experiencing frequent defoliation store resources in the roots.

Indexed as

SeedlingsTreesBiomassForestsPlant RootsTropical Climatebiomass allocationrooting depthroot morphologysavannaspecific root lengthtropical forestvertical root distribution

Identifiers

PMID31834943
PMCPMC7317509

What OpenQuestion holds

Textmetadata
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.