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Table 2 Bayesian model averaging of seven allometric equations (see Table 1) using a training data set of tree biomass collected at Yangambi, DRC

From: Reducing the error in biomass estimates strongly depends on model selection

Model

Ï€ m

σ m

Chave et al. (2005) II.3

<0.01

0.359

Chave et al. (2005) I.5

>0.99

0.322

Dorisca et al. (2011) 5

<0.01

0.451

Dorisca et al. (2011) 2

<0.01

0.441

Fayolle et al. (2013) 2

<0.01

0.369

Ngomanda et al. (2014) 5

<0.01

0.424

Ngomanda et al. (2014) 11

<0.01

0.423

  1. π m is the BMA weight of model m. σ m (in kg cm −2) is the coefficient such that the standard error of the deviation in biomass between model m and the true model for a tree of dbh D equals σ m D 2
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Annals of Forest Science

ISSN: 1297-966X