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Updated: Jul 1, 2026

Tree Core Analysis with X-ray Computed Tomography
Published on: September 22, 2023
On the relationship between mass and diameter distributions in tree communities
James C Stegen1, Ethan P White
1Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA.
Tree size distributions are often described using power laws. This study reveals that the commonly observed power-law distribution of tree diameters actually corresponds to a different power-law for tree masses, impacting ecological theories.
Area of Science:
- Ecology
- Forest Science
- Quantitative Biology
Background:
- Ecological theory suggests tree communities exhibit energetic equivalence.
- This is often inferred from power-law distributions of tree diameters (exponent ≈ -2).
- These diameter distributions are assumed to reflect power-law mass distributions (exponent ≈ -3/4).
Purpose of the Study:
- To re-evaluate the relationship between tree diameter and mass distributions.
- To determine the correct mass distribution exponent implied by observed diameter distributions.
- To assess the implications for ecological theories like energetic equivalence.
Main Methods:
- Mathematical derivation relating diameter-mass allometry to distribution exponents.
- Analysis of theoretical power-law distributions.
- Comparison of derived mass exponents with existing ecological assumptions.
Main Results:
- Diameter distributions with an exponent of -2 do not imply mass distributions with an exponent of -3/4.
- Instead, diameter distributions with an exponent of -2 correspond to mass distributions with an exponent of -11/8.
- This discrepancy challenges the direct inference of energetic equivalence from diameter distributions.
Conclusions:
- The assumption linking diameter and mass distribution exponents in forest ecology requires revision.
- The findings impact the metabolic theory of ecology and our understanding of community structure.
- Further research is needed to clarify the processes governing tree size and mass distributions.
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