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Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
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Related Experiment Video

Updated: Aug 30, 2025

Xylem Water Distribution in Woody Plants Visualized with a Cryo-scanning Electron Microscope
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Upscaling xylem phenology: sample size matters.

Roberto Silvestro1, Jean-Daniel Sylvain2, Guillaume Drolet2

  • 1Laboratoire sur les écosystèmes terrestres boréaux, Département des Sciences Fondamentales, Université du Québec à Chicoutimi, 555 boulevard de l'Université, Chicoutimi (QC) G7H2B1, Canada.

Annals of Botany
|August 26, 2022
PubMed
Summary

Tree growth varies significantly, impacting carbon allocation. This study found cell production rates, not size or location, influence wood formation timing in balsam firs, crucial for forest carbon estimates.

Keywords:
Abies balsameaBoreal forestcarbon allocationcell productiontree growthtree sizewood formationxylem developmentxylem differentiationxylogenesis

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Area of Science:

  • Forestry science
  • Ecology
  • Plant physiology

Background:

  • Upscaling carbon allocation requires understanding variability in tree growth and wood formation.
  • Factors influencing xylem phenology (wood formation timing) in trees are not well understood.
  • Balsam fir (Abies balsamea) growth dynamics are complex and difficult to estimate.

Purpose of the Study:

  • To explore the variability in xylem phenology among balsam fir trees.
  • To identify factors influencing wood formation timings, including spatial autocorrelation, tree size, and cell production rates.
  • To assess optimal sample sizes for reliable xylem phenology assessment.

Main Methods:

  • Weekly wood microcore sampling from 159 balsam firs over a growing season in Quebec, Canada.
  • Analysis of cambial activity and wood formation timings.
  • Statistical testing for spatial autocorrelation, tree size, and cell production rate effects.

Main Results:

  • Xylem formation duration varied widely (40-110 days), producing 12-93 cells.
  • No significant effect of spatial proximity or tree size on xylem phenology was detected.
  • Higher cell production rates correlated with longer growing seasons and earlier/later xylem differentiation.

Conclusions:

  • Significant variability in wood formation timing exists even within a small area (1 km²).
  • Cell production rate is linked to growing season length, suggesting a connection to carbon sequestration.
  • Further research is needed to resolve causes of variability and determine appropriate sample sizes for accurate forest carbon allocation estimates.