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Model performances were satisfactory, with average relative root mean square error and modelling efficiency for aboveground biomass simulation of 34.33% and 0.57, respectively.

Model performances were evaluated by the Deviance Information Criterion (DIC; we recall that models with smaller DIC should be preferred).

Model performances were evaluated for each of the study sites, and quantified using commonly-reported statistics.

Notably, ANN and DTC model performances were comparable although differential costs for misclassification were only implemented for DTC modelling.

The analyses of the CQA estimates and model performances were interpreted as (1) Inside Specification/Significant Model (2) Inside Specification/Non-significant Model (3) Outside Specification/Significant Model (4) Outside Specification/Non-significant Model.

Comparisons of model performances were based on visual assessments of stand-level trajectories.

Model performances are summarized in Table 1.

The best model performances are emboldened and a * flags models performances that are significantly different from HME3M (α = 0.05).

No statistically significant differences in the models' performances were found.

Model derivation and assessment of model performance was performed by using R software version 2.6.0.

Further, the model performance was evaluated using various performance criteria.