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Table 3 Allometric biomass equation regression coefficients for Eqs. (2–6) 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