• 1 School of Biological Sciences, University of Aberdeen, Aberdeen, AB24 3UU United Kingdom
  • 2 University of St. Andrews, Centre for Research into Ecological and Environmental Modelling, CREEM, The Observatory, Buchanan Gardens, St Andrews, KY16 9LZ United Kingdom
  • 3 Forestry and Forest Product Research Institute, Kyushu Research Center, 4-11-16 Kurokami, Chuo-ku, Kumamoto, 860-0862 Japan
  • 4 Forest Research Institute of Malaysia, 68100, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Ecol Appl, 2016 Dec;26(8):2374-2380.
PMID: 27907254 DOI: 10.1002/eap.1450


Accurate estimation of tree biomass is necessary to provide realistic values of the carbon stored in the terrestrial biosphere. A recognized source of errors in tree aboveground biomass (AGB) estimation is introduced when individual tree height values (H) are not directly measured but estimated from diameter at breast height (DBH) using allometric equations. In this paper, we evaluate the performance of 12 alternative DBH : H equations and compare their effects on AGB estimation for three tropical forests that occur in contrasting climatic and altitudinal zones. We found that fitting a three-parameter Weibull function using data collected locally generated the lowest errors and bias in H estimation, and that equations fitted to these data were more accurate than equations with parameters derived from the literature. For computing AGB, the introduced error values differed notably among DBH : H allometric equations, and in most cases showed a clear bias that resulted in either over- or under-estimation of AGB. Fitting the three-parameter Weibull function minimized errors in AGB estimates in our study and we recommend its widespread adoption for carbon stock estimation. We conclude that many previous studies are likely to present biased estimates of AGB due to the method of H estimation.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.