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Tree Circumference Dynamics in Four Forests Characterized Using Automated Dendrometer Bands.

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This summary is machine-generated.

Automated dendrometer bands reveal daily tree stem shrinkage from transpiration and expansion after rain. These measurements offer insights into tree hydration and growth over days to weeks, not direct daily transpiration.

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Area of Science:

  • Forest Ecology
  • Plant Physiology
  • Environmental Science

Background:

  • Tree stem circumference is a key metric in forest monitoring.
  • Fine-scale stem circumference dynamics, including reversible changes due to water status, are often overlooked in forest productivity estimates.

Purpose of the Study:

  • To investigate hourly to monthly tree circumference variations using automated dendrometer bands.
  • To correlate these dynamics with environmental conditions.
  • To assess potential errors in woody growth estimates due to these variations.

Main Methods:

  • Deployed automated dendrometer bands on 12-40 trees across four distinct forest types (temperate deciduous, conifer, tropical semi-deciduous).
  • Monitored stem circumference changes over time scales from hours to months.
  • Correlated circumference dynamics with climatic variables, sap flow, and evapotranspiration.

Main Results:

  • Observed diurnal stem shrinkage, linked to transpiration and correlated with temperature range, vapor pressure deficit, radiation, sap flow, and evapotranspiration.
  • Rain events caused significant stem circumference increases, particularly in tropical sites (up to 1.5 mm in 48 hours), due to stem water storage and bark hydration.
  • Diurnal variations (<0.5 mm) were generally too small to significantly impact most tree growth studies.

Conclusions:

  • Over-bark stem circumference measurements have limited direct use for estimating daily transpiration.
  • These measurements are valuable for characterizing stem growth and hydration changes on time scales of days to weeks.
  • Understanding fine-scale stem dynamics is crucial for accurate forest ecophysiology assessments.