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Table 3 Coefficient estimates of regressions (from Eqs. 1–3: α1, α2, etc., are the covariate coefficients corresponding to x1, x2, etc.; μ is the intercept; and σ is the scale); coefficient standard error estimate in parentheses. Variable codes are: diameter at breast height (DBH; cm); crown injury percent (CI); years to mortality post fire (YTD), and protected by green conifers (PGC; 0 = no and 1 = yes) by species and status. Species codes are: IC = incense cedar; SP = sugar pine; WF = white fir; and YP = yellow pine. Superscript numbers indicate model-averaged variable importance rank. ΔAIC is the difference between this model and the best AIC model. Those terms that are less than 0.8 in model-averaged importance are noted with an asterisk (*)

From: Correction to persistence of fire-killed conifer snags in California, USA

  Covariate Models Time-only
Species IC SP WF YP YP SP WF IC
∆AIC 6.7 3.8 0.4 0.05     
Scale 0.2148 (0.0011) 0.3835 (0.0334) 0.3184 (0.025) 0.2946 (0.0098) 0.3181 (0.0104) 0.4252 (0.0366) 0.3323 (0.0257) 0.2104 (0.0756)
Intercept 2.3333 (0.1875) 1.5084 (0.1618) 0.9633 (0.3302) 0.6394 (0.1841) 1.9812 2.5754 2.4821 2.7368
DBH   0.0173 (0.003) 0.0290 (0.0079)1 0.0457 (0.0090)1     
CI    0.0141 (0.0043)2 0.0164 (0.0028)1     
PGC     0.6026 (0.1262)4     
YTD 0.2250 (0.0975)        
CI: DBH    −0.0003 (0.0001)3 −0.0005 (0.0001)3     
CI: PGC     −0.0058 (0.0018)5     
PGC: DBH     −0.0082 (0.0046)6*