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Fig. 1 | Annals of Forest Science

Fig. 1

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

Fig. 1

Estimate of the aboveground biomass at Yoko, DRC, according to different estimation methods based on 1-ha sampling plots (the dot indicates the estimate; the whiskers show the 95 % confidence interval; the value given on top of the upper whisker is the ratio of the amplitude of the 95 % confidence interval to the estimate). Tree biomass is computing using aChave et al.’s model II.3, bChave et al.’s model I.5, cDorisca et al.’s model 5, dDorisca et al.’s model 2, eFayolle et al.’s model 2, fNgomanda et al.’s model 5, gNgomanda et al.’s model 11, h and j the mean of all aforementioned models with equal weights, i and k the mean of all aforementioned models with BMA weights. In a–i, all sources of errors are included; in j–k, only the sampling error is included

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