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Re-evaluation of individual diameter: height allometric models to improve biomass estimation of tropical trees

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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, 01.12.2016, p. 2374-2380.

Research output: Contribution to journalArticle

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Ledo, A, Cornulier, T, Illian, JB, Iida, Y, Kassim, AR & Burslem, DFRP 2016, 'Re-evaluation of individual diameter: height allometric models to improve biomass estimation of tropical trees', Ecological Applications, vol. 26, no. 8, pp. 2374-2380. https://doi.org/10.1002/eap.1450

APA

Ledo, A., Cornulier, T., Illian, J. B., Iida, Y., Kassim, A. R., & Burslem, D. F. R. P. (2016). Re-evaluation of individual diameter: height allometric models to improve biomass estimation of tropical trees. Ecological Applications, 26(8), 2374-2380. https://doi.org/10.1002/eap.1450

Vancouver

Ledo A, Cornulier T, Illian JB, Iida Y, Kassim AR, Burslem DFRP. Re-evaluation of individual diameter: height allometric models to improve biomass estimation of tropical trees. Ecological Applications. 2016 Dec 1;26(8):2374-2380. https://doi.org/10.1002/eap.1450

Author

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.

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@article{3fc93d364e0543998c6c4f4252822441,
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 above-ground 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 3-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, Inaccuracy, 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 = "The first author was supported by the European Union under a IEF Marie-Curie Action.",
year = "2016",
month = "12",
day = "1",
doi = "10.1002/eap.1450",
language = "English",
volume = "26",
pages = "2374--2380",
journal = "Ecological Applications",
issn = "1051-0761",
publisher = "John Wiley & Sons, Ltd.",
number = "8",

}

RIS (suitable for import to EndNote) - Download

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 - The first author was supported by the European Union under a IEF Marie-Curie Action.

PY - 2016/12/1

Y1 - 2016/12/1

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 above-ground 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 3-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 above-ground 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 3-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 - Inaccuracy

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 -

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