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Field methods for sampling tree height for tropical forest biomass estimation.

Martin J P Sullivan1, Simon L Lewis1,2, Wannes Hubau1,3

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Summary
This summary is machine-generated.

Accurate tropical forest biomass estimation is improved by local tree height-diameter allometries. Sampling just 20 trees, especially the largest ones, significantly reduces prediction errors compared to generic equations.

Keywords:
above‐ground biomass estimationallometrycarbon stocksforest inventoryforest structuresample size

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Area of Science:

  • Ecology
  • Forestry
  • Biometrics

Background:

  • Accurate estimation of tree biomass and carbon stocks in tropical forests relies on quantifying tree height-diameter relationships (allometries).
  • Significant variations in height-diameter allometries exist across sites, yet measuring all tree heights is labor-intensive.
  • Current practices often use generic pan-tropical or regional equations, potentially leading to inaccuracies.

Purpose of the Study:

  • To assess how sample size impacts the performance of locally derived height-diameter allometries.
  • To evaluate different tree sampling strategies for height measurement.
  • To determine the optimal number of trees to sample for reliable allometric model development.

Main Methods:

  • Utilized a pan-tropical dataset of 73 plots with extensive in-field height measurements.
  • Employed cross-validation to test the predictive accuracy of locally derived allometries against regional/climate-based ones.
  • Compared biomass estimates derived from local allometries versus field-measured heights.
  • Evaluated five distinct tree sampling strategies, including random, stratified, and targeted approaches.

Main Results:

  • Locally derived allometries using as few as 20 trees showed lower prediction errors (mean reduction of 0.46 m) than regional equations.
  • Height prediction error decreased with increasing sample size, with diminishing returns beyond 40 trees.
  • Biomass estimates using local allometries did not exhibit over- or under-estimation bias compared to using field-measured heights.
  • Sampling the ten largest diameter trees within a plot yielded more accurate local allometries than random or size-class stratified methods.

Conclusions:

  • Limited local height sampling can substantially refine height-diameter allometries for tropical forests.
  • A recommended sampling threshold is 50 trees per location, prioritizing the ten largest diameter trees.
  • Improved allometries enhance the accuracy of biomass and carbon stock estimations in tropical forest inventories.