Table 3. Conditional probability tables of node A, i.e., species presence in the Bayesian belief network (BBN) model before (beta-level model, Fig. 3a) and after (gamma-level model, Fig. 3b) incorporating the case field data (Table 1) using the expectation maximization (EM) algorithm (Appendix 1). Outcome state probabilities sum to 100% for each model across each row and represent frequencies or probabilities of each outcome state given combinations of input parent node states. BRNO = Bridgeoporus nobilissimus.

Parent node states
Beta-level model
Gamma-level model
Abies procera substrate
Vegetative
cover (%)
Local mesic
habitat
BRNO
present
BRNO  absent
BRNO
present
BRNO
absent
adequate
0–50
adequate
60.000
40.000
53.700
46.300
adequate
0–50
inadequate
15.000
85.000
14.067
85.933
adequate
50–80
adequate
90.000
10.000
98.458
1.542
adequate
50–80
inadequate
70.000
30.000
68.067
31.933
adequate
80–100
adequate
100.00
0.000
100.00
0.000
adequate
80–100
inadequate
80.000
20.000
42.928
57.072
inadequate
0–50
adequate
10.000
90.000
10.125
89.875
inadequate
0–50
inadequate
5.000
95.000
5.014
94.986
inadequate
50–80
adequate
15.000
85.000
7.534
92.466
inadequate
50–80
inadequate
10.000
90.000
6.450
93.550
inadequate
80–100
adequate
20.000
80.000
3.598
96.402
inadequate
80–100
inadequate
15.000
85.000
6.569
93.431