Literature DB >> 27907254

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

Alicia Ledo1, Thomas Cornulier1, Janine B Illian2,3, Yoshiko Iida4, Abdul Rahman Kassim5, David F R P Burslem1.   

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.
© 2016 by the Ecological Society of America.

Entities:  

Keywords:  bias; biomass; error; inaccuracy; modelling; tropical forest

Mesh:

Substances:

Year:  2016        PMID: 27907254     DOI: 10.1002/eap.1450

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  5 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-24       Impact factor: 11.205

2.  Development and evaluation of height diameter at breast models for native Chinese Metasequoia.

Authors:  Mu Liu; Zhongke Feng; Zhixiang Zhang; Chenghui Ma; Mingming Wang; Bo-Ling Lian; Renjie Sun; Li Zhang
Journal:  PLoS One       Date:  2017-08-17       Impact factor: 3.240

3.  Height-diameter allometry and above ground biomass in tropical montane forests: Insights from the Albertine Rift in Africa.

Authors:  Gérard Imani; Faustin Boyemba; Simon Lewis; Nsharwasi Léon Nabahungu; Kim Calders; Louis Zapfack; Bernard Riera; Clarisse Balegamire; Aida Cuni-Sanchez
Journal:  PLoS One       Date:  2017-06-15       Impact factor: 3.240

4.  Height-diameter allometry for tropical forest in northern Amazonia.

Authors:  Robson Borges de Lima; Eric Bastos Görgens; Fernando Elias; Jadson Coelho de Abreu; Aldine Luiza Baia; Cinthia Pereira de Oliveira; Diego Armando Silva da Silva; Anderson Pedro Bernardina Batista; Robson Carmo Lima; Eleneide Doff Sotta; Rinaldo Luiz Caraciolo Ferreira; José Antônio Aleixo da Silva; Marcelino Carneiro Guedes
Journal:  PLoS One       Date:  2021-12-16       Impact factor: 3.240

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

Authors:  Martin J P Sullivan; Simon L Lewis; Wannes Hubau; Lan Qie; Timothy R Baker; Lindsay F Banin; Jerôme Chave; Aida Cuni-Sanchez; Ted R Feldpausch; Gabriela Lopez-Gonzalez; Eric Arets; Peter Ashton; Jean-François Bastin; Nicholas J Berry; Jan Bogaert; Rene Boot; Francis Q Brearley; Roel Brienen; David F R P Burslem; Charles de Canniere; Markéta Chudomelová; Martin Dančák; Corneille Ewango; Radim Hédl; Jon Lloyd; Jean-Remy Makana; Yadvinder Malhi; Beatriz S Marimon; Ben Hur Marimon Junior; Faizah Metali; Sam Moore; Laszlo Nagy; Percy Nuñez Vargas; Colin A Pendry; Hirma Ramírez-Angulo; Jan Reitsma; Ervan Rutishauser; Kamariah Abu Salim; Bonaventure Sonké; Rahayu S Sukri; Terry Sunderland; Martin Svátek; Peter M Umunay; Rodolfo Vasquez Martinez; Ronald R E Vernimmen; Emilio Vilanova Torre; Jason Vleminckx; Vincent Vos; Oliver L Phillips
Journal:  Methods Ecol Evol       Date:  2018-02-13       Impact factor: 7.781

  5 in total

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