Evidence map›Paper›PMID 42293011›Full record

ArticleFrontiers in plant science2026

Study on the canopy structure and light distribution of

Kaiwen Tan, Yawen Wang, Guozhen Yan, Liwen Zhang, Jin Lei, Junyang Wang, Yan Wang, Xiaoliang Dong, Cheng Tang, Qiang Jin

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kaiwen TanCollege of Agriculture, Shihezi University, Shihezi, China.
Yawen WangCollege of Agriculture, Shihezi University, Shihezi, China.
Guozhen YanCollege of Life Science, Shihezi University, Shihezi, China.
Liwen ZhangCollege of Urban and Environmental Sciences, Shihezi University, Shihezi, China.
Jin LeiCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi, China.
Junyang WangXinjiang Silk Road Sea Buckthorn Technology Co, Tacheng, China.
Yan WangCollege of Urban and Environmental Sciences, Shihezi University, Shihezi, China.
Xiaoliang DongCollege of Urban and Environmental Sciences, Shihezi University, Shihezi, China.
Cheng TangCollege of Urban and Environmental Sciences, Shihezi University, Shihezi, China.
Qiang JinCollege of Horticulture and Forestry, Tarim University, Alar, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The canopy structure of seabuckthorn has a profound effect on its light environment and ecological function with the dynamic evolution of stand age. To quantitatively analyze the driving mechanism of stand age and canopy structure on light distribution, PAR and key canopy structure parameters (LAI, PALe, OmegaE and Gap Fraction) were measured simultaneously along the vertical profile (bottom, middle and top) of 3-, 4-, 8- and 11-year-old seabuckthorn plantations by using TRAC. Two-way analysis of variance, structural equation modeling (SEM), redundancy analysis (RDA) and a variety of machine learning models were used for analysis. The results revealed that stand age and relative height had significant effects on all canopy parameters and PAR (p< 0.001). SEM revealed that the unit Gap Fraction had the strongest direct positive effect on PAR (b = 0.826), whereas the LAI indirectly affected PAR mainly by negatively regulating the unit Gap Fraction (b = -0.628). RDA revealed that stand age was the dominant factor driving the variation in canopy structure (LAI, PALe), with an independent inter-pretation rate of 31.72%. The random forest model performed best in the classification task of stand age inversion on the basis of canopy characteristics (accuracy rate of 85.19%). This study provides an important theoretical basis and quantitative tool for optimizing light distribution, coordinating growth and fruit-ing, and realizing the coordinated improvement of ecological and economic benefits through canopy structure management (such as reasonable pruning to maintain an appropriate Gap Fraction) of seabuckthorn economic plantations.

Indexed as

gap fractionrandom forestredundancy analysisstand agestructural equation modeling

Identifiers

PMID42293011
PMCPMC13255348

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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.