Evidence map›Paper›PMID 33633125›Full record

ArticleScientific reports2021

Variation in wood physical properties and effects of climate for different geographic sources of Chinese fir in subtropical area of China.

Ren You, Ninghua Zhu, Xiangwen Deng, Jing Wang, Fei Liu

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Plants (Basel, Switzerland) · 2026
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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

5 authors.

Ren YouFaculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, 410004, Hunan Province, China.
Ninghua ZhuFaculty of Forestry, Central South University of forestry and Technology, Changsha, 410004, China. zhuninghua@yahoo.com.
Xiangwen DengFaculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, 410004, Hunan Province, China. dengxw@csuft.edu.cn.
Jing WangFaculty of Forestry, Central South University of forestry and Technology, Changsha, 410004, China.
Fei LiuFaculty of Forestry, Central South University of forestry and Technology, Changsha, 410004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese fir is one of the most important commercial timber species in China, with many geographic sources. However, little is known of the variation in wood physical properties among them. To explore the differences in wood physical properties and their influencing factors, five geographic sources of Chinese fir were selected. The variance inflation factor, stepwise regression, and principle component analysis were used to reduce multicollinearity and dimensions of the 19 wood physical properties (including density, shrinkage, and mechanical properties). The results showed that the wood density differed significantly among five geographic sources. The tangential shrinkage rate and radial shrinkage rate reached maximum values in black-heart Chinese fir (HNYX-T) but accompanied by the lowest value for difference dry shrinkage. The wood density and mechanical properties of HNYX-T was exceeded to that of others geographic sources. Fast-growth Chinese fir (FJYK-P) had the lowest value for all mechanical properties. The precipitation and temperature had significant correlations with the wood physical properties of this five geographic sources. The temperature in summer was mainly positive correlated with physical properties, while precipitation was negatively correlated with them. HNYX-T had the highest comprehensive score of PCA, followed by JXCS-R, emerged as higher-quality geographic source, which is important for selecting and utilizing geographic sources in forest management.

Indexed as

AbiesClimateWoodChinaGeographyPrincipal Component AnalysisSeasonsTropical Climate

Identifiers

PMID33633125
PMCPMC7907201

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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.