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Table 3 Allometric biomass equation regression coefficients for Eqs. (26) for lodgepole pine, ponderosa pine, and Douglas-fir

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

Species Component ai1 ai2
Douglas-Fir Bole (i = 1) − 2.9162 (0.9896) 2.3437 (0.2647)
Bark (i = 2) − 2.0888 (0.7021) 1.6911 (0.1903)
Foliage (i = 3) − 3.3489 (0.8356) 1.9822 (0.2249)
Branch (i = 4) − 3.7741 (1.0634) 2.3588 (0.2845)
Lodgepole Pine Bole (i = 1) − 4.3642 (0.8611) 2.9255 (0.2634)
Bark (i = 2) − 5.2333 (0.8573) 2.3723 (0.2646)
Foliage (i = 3) − 2.0830 (0.6570) 1.5402 (0.2075)
Branch (i = 4) − 1.0172 (0.9174) 1.5475 (0.2897)
Ponderosa Pine Bole (i = 1) − 2.5513 (0.8855) 2.2322 (0.2231)
Bark (i = 2) − 3.5399 (0.9608) 1.9588 (0.2432)
Foliage (i = 3) − 5.75806 (1.2645) 2.6110 (0.3168)
Branch (i = 4) − 5.2127 (1.6641) 2.9843 (0.4149)
  1. Equations were fit using nonlinear seemingly unrelated regression to estimate component biomass (kg) from a tree’s diameter at breast height (cm). Values in parentheses are standard errors of the parameter values. Total biomass can be calculated as the sum of these four components