International Journal of Forestry Research / 2016 / Article / Tab 3

Research Article

Bark Thickness Equations for Mixed-Conifer Forest Type in Klamath and Sierra Nevada Mountains of California

Table 3

Mixed-conifer forest type bark thickness (BT) models for red fir (ABMA), lodgepole pine (PICO), western white pine (PIMO), and Douglas-fir (PSME) at three sites: Klamath National Forest (KNF), Tahoe National Forest (TNF), and Sequoia National Forest (SNF), and models for white fir (ABCO), Jeffrey pine (PIJE), sugar pine (PILA), and incense-cedar (CADE) fitted to data from four sites including Stanislaus-Tuolumne Experimental Forest (STEF). Models predict square root of bark thickness in mm, as a function of DBH (cm).

DataModelCoefficients.e.RMSE (mm)

ABCO
()
ab1.005
0.888
0.031
0.016
<0.0001
<0.0001
7.46
ABMA
()
ab0.886
0.919
0.060
0.034
<0.0001
<0.0001
6.88
PIJE
()
ab1.298
0.802
0.109
0.041
<0.0001
<0.0001
10.29
PICO
()
ab1.027
0.603
0.104
0.057
<0.0001
<0.0001
1.49
PILA
()
ab1.521
0.718
0.116
0.034
<0.0001
<0.0001
14.50
PIMO
()
ab1.299
0.609
0.156
0.059
<0.0001
<0.0001
4.24
PSME
()
a0.7850.015<0.00017.16
CADE ()a0.9460.009<0.000114.18