Evidence map›Paper›PMID 41445922›Full record

ArticleQuantitative plant biology2025

Monitoring wood phenology using dendrometers: opportunities and pitfalls.

Ignatius Kristia Adikurnia, Cyrille B K Rathgeber

Abstract read
In one paragraph

Article in Quantitative plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Ignatius Kristia AdikurniaDepartment of Material and Environmental Technology, Tallinn University of Technology, Estonia.
Cyrille B K RathgeberUniversité de Lorraine, AgroParisTech, INRAE, SILVA, F-5400 Nancy, France.ORCID https://orcid.org/0000-0001-7359-8320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have investigated the impact of climate change on tree growth and carbon sequestration, exploring the effect of climatic factors on the onset and cessation of wood formation. Some studies used microcores for histological observations of xylem, while many others used dendrometer recordings to infer stem growth. However, the reliability of dendrometers in providing accurate estimates of growth phenology has yet to be fully assessed. We compared the phenology estimated using dendrometer- and microcore-based approaches for six tree species growing in contrasted site conditions and exhibiting contrasted tree-ring structures (non-porous, diffuse-porous and ring-porous) and bark types (smooth, scaled, fissured). Our results show that dendrometer estimate accuracy is poor and varied according to several factors, including species life traits, climate and site conditions. These results highlight the limitations of dendrometers in evaluating wood phenology in trees, and advocate for the concurrent monitoring of xylogenesis.

Indexed as

carbon sequestrationclimatic changesdendroecologytree growthxylem

Identifiers

PMID41445922
PMCPMC12722048

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.