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Fig. 7 | Carbon Balance and Management

Fig. 7

From: Variability and uncertainty in forest biomass estimates from the tree to landscape scale: the role of allometric equations

Fig. 7

a Observed plot aboveground biomass values and those predicted by the random forest models for generating biomass maps in three allometric biomass equation scenarios: local equations (those presented in this study), Jenkins et al. [11], and the Forest Inventory and Analysis Component Ratio Method (FIA-CRM). Dashed grey line is the 1:1 line representing perfect model fit. b Uncertainty contributions from the allometric model (dark grey) and random forest prediction (light grey). The printed percentages within each bar are the allometric and prediction uncertainties relative to total uncertainty. Total uncertainty is printed at the top of each bar. Allometric error was evaluated in two ways for Jenkins et al. [11] and local equations: equation-derived and independent evaluation against Legacy tree data (“Jenkins Leg.” and “Local Leg.”). The FIA-CRM model was only evaluated against Legacy tree data (“FIA-CRM Leg.”) because we were unable to locate FIA-CRM equation-derived errors

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