Re-evaluation of individual diameter

height allometric models to improve biomass estimation of tropical trees

Alicia Ledo, Thomas Cornulier, Janine B Illian, Yoshiko Iida, Abdul Rahman Kassim, David F R P Burslem

Research output: Contribution to journalArticle

11 Citations (Scopus)
3 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)2374-2380
Number of pages7
JournalEcological Applications
Volume26
Issue number8
Early online date19 Oct 2016
DOIs
Publication statusPublished - Dec 2016

Fingerprint

aboveground biomass
biomass
carbon
biosphere
tropical forest
evaluation
parameter

Keywords

  • bias
  • biomass
  • error
  • inaccurarcy
  • modelling
  • tropical forest

Cite this

Re-evaluation of individual diameter : height allometric models to improve biomass estimation of tropical trees. / Ledo, Alicia; Cornulier, Thomas; Illian, Janine B; Iida, Yoshiko; Kassim, Abdul Rahman; Burslem, David F R P.

In: Ecological Applications, Vol. 26, No. 8, 12.2016, p. 2374-2380.

Research output: Contribution to journalArticle

Ledo, Alicia ; Cornulier, Thomas ; Illian, Janine B ; Iida, Yoshiko ; Kassim, Abdul Rahman ; Burslem, David F R P. / Re-evaluation of individual diameter : height allometric models to improve biomass estimation of tropical trees. In: Ecological Applications. 2016 ; Vol. 26, No. 8. pp. 2374-2380.
@article{84cb6612ef2a4ff982983528e5cec346,
title = "Re-evaluation of individual diameter: height allometric models to improve biomass estimation of tropical trees",
abstract = "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.",
keywords = "bias, biomass, error, inaccurarcy, modelling, tropical forest",
author = "Alicia Ledo and Thomas Cornulier and Illian, {Janine B} and Yoshiko Iida and Kassim, {Abdul Rahman} and Burslem, {David F R P}",
note = "Acknowledgments The first author was supported by the European Union under a IEF Marie-Curie Action. We thank Helene Muller-Landau and S. Joseph Wright for providing data on tree heights for some trees in Panama and for comments that helped to develop this study.",
year = "2016",
month = "12",
doi = "10.1002/eap.1450",
language = "English",
volume = "26",
pages = "2374--2380",
journal = "Ecological Applications",
issn = "1051-0761",
publisher = "Ecological Society of America",
number = "8",

}

TY - JOUR

T1 - Re-evaluation of individual diameter

T2 - height allometric models to improve biomass estimation of tropical trees

AU - Ledo, Alicia

AU - Cornulier, Thomas

AU - Illian, Janine B

AU - Iida, Yoshiko

AU - Kassim, Abdul Rahman

AU - Burslem, David F R P

N1 - Acknowledgments The first author was supported by the European Union under a IEF Marie-Curie Action. We thank Helene Muller-Landau and S. Joseph Wright for providing data on tree heights for some trees in Panama and for comments that helped to develop this study.

PY - 2016/12

Y1 - 2016/12

N2 - 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.

AB - 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.

KW - bias

KW - biomass

KW - error

KW - inaccurarcy

KW - modelling

KW - tropical forest

U2 - 10.1002/eap.1450

DO - 10.1002/eap.1450

M3 - Article

VL - 26

SP - 2374

EP - 2380

JO - Ecological Applications

JF - Ecological Applications

SN - 1051-0761

IS - 8

ER -