Tree Biomass Estimation of Chinese fir (Cunninghamia lanceolata) Based on Bayesian Method
Open Access
- 20 November 2013
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 8 (11), e79868
- https://doi.org/10.1371/journal.pone.0079868
Abstract
Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) is the most important conifer species for timber production with huge distribution area in southern China. Accurate estimation of biomass is required for accounting and monitoring Chinese forest carbon stocking. In the study, allometric equation was used to analyze tree biomass of Chinese fir. The common methods for estimating allometric model have taken the classical approach based on the frequency interpretation of probability. However, many different biotic and abiotic factors introduce variability in Chinese fir biomass model, suggesting that parameters of biomass model are better represented by probability distributions rather than fixed values as classical method. To deal with the problem, Bayesian method was used for estimating Chinese fir biomass model. In the Bayesian framework, two priors were introduced: non-informative priors and informative priors. For informative priors, 32 biomass equations of Chinese fir were collected from published literature in the paper. The parameter distributions from published literature were regarded as prior distributions in Bayesian model for estimating Chinese fir biomass. Therefore, the Bayesian method with informative priors was better than non-informative priors and classical method, which provides a reasonable method for estimating Chinese fir biomass.This publication has 27 references indexed in Scilit:
- A Bayesian approach for modelling non-linear longitudinal/hierarchical data with random effects in forestryForestry: An International Journal of Forest Research, 2011
- Additive prediction of aboveground biomass for Pinus radiata (D. Don) plantationsForest Ecology and Management, 2010
- Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forestsForest Ecology and Management, 2009
- Assessing prediction errors of generalized tree biomass and volume equations for the boreal forest region of west-central CanadaCanadian Journal of Forest Research, 2008
- Deriving tree diameter distributions using Bayesian model averagingForest Ecology and Management, 2007
- Biomass expansion factors (BEFs) for Scots pine, Norway spruce and birch according to stand age for boreal forestsForest Ecology and Management, 2004
- PREDICTING THE NUMBER OF NEW SPECIES IN FURTHER TAXONOMIC SAMPLINGEcology, 2003
- Tree damage, allometric relationships, and above-ground net primary production in central Amazon forestForest Ecology and Management, 2001
- Biomass equations for sixty-five North American tree speciesForest Ecology and Management, 1997
- Biomass energy in industrialised countries—a view of the futureForest Ecology and Management, 1997