Table 2 Residual standard errors of fitted component ratio method models for the biomass components and for the combination of models and predictors.

From: Modeling biomass allocation strategy of young planted Zelkova serrata trees in Taiwan with component ratio method and seemingly unrelated regressions

Predictor × model

Biomass component

Stem

Branch

Twig

Dbh

Nonlinear

0.0934/***

0.0923/***

0.0290/*

Linear

0.0658/***

0.0711/***

0.0243/***

dbh2

Nonlinear

0.1029/**

0.1109/**

0.0315/ns

Linear

0.0640/***

0.0716/***

0.0258/*

dbh2·ht

Nonlinear

0.1054/**

0.1157/**

0.0323/ns

Linear

0.0784/**

0.0858/**

0.0263/*

  1. The biomass components are main stem, large branch, and twig. The two models are nonlinear and linear SUR. The three predictors are dbh, dbh2, and dbh2·ht. RSE is residual standard error. The p-values of the estimated parameter β1 in the fitted Component Ratio Method models (Eqs. 1 and 2) are represented by asterisk next to the reported RSEs: ns (p > 0.05), * (p ≤ 0.05), ** (p ≤ 0.01), *** (p ≤ 0.001), **** (p ≤ 0.0001).
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