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).

Data	Model		Coefficient	s.e.		RMSE (mm)
ABCO; ()		ab	1.005; 0.888	0.031; 0.016	<0.0001; <0.0001	7.46
ABMA; ()		ab	0.886; 0.919	0.060; 0.034	<0.0001; <0.0001	6.88
PIJE; ()		ab	1.298; 0.802	0.109; 0.041	<0.0001; <0.0001	10.29
PICO; ()		ab	1.027; 0.603	0.104; 0.057	<0.0001; <0.0001	1.49
PILA; ()		ab	1.521; 0.718	0.116; 0.034	<0.0001; <0.0001	14.50
PIMO; ()		ab	1.299; 0.609	0.156; 0.059	<0.0001; <0.0001	4.24
PSME; ()		a	0.785	0.015	<0.0001	7.16
CADE ()		a	0.946	0.009	<0.0001	14.18