Table 2. - -(con.) 



30 years : 

 before : 









Years after logging 







logging : 







5 



: 10 



: 15 



: 20 



: 25 : 



302 











Inches - - - - 









19.0 

 19.7 

 20.3 



23.1 

 23.9 

 24.7 



23.6 

 24.5 

 25.3 



24.4 

 25.3 

 26.2 



25.1 

 25.9 

 26.8 



25.9 

 26.8 

 27.8 



27.1 

 28.0 

 29.0 



28 

 29 

 30 



^ This table was derived from regression equations based on the following constants: 

 Years after 



logging b coefficient a constant r^ 



0.833 -0.209 0.876 



5 0.859 -0.441 0.899 



10 0.888 -0.467 0.929 



15 0.890 -1-0.149 0.961 



20 0.919 +0.221 0.950 



25 0.975 -0.159 0.996 

 30 years before 



logging 0.645 -K).971 0.681 



^ Diameter class at year of measurement (1954) Is also the independent variable in the 

 regression equation. 





Table 3. - -Diameter breast high outside bark of subalpine fir trees at 









5 -year intervals after logging 







Years after logging 







: 5 : 



10 : 15 



: 20 : 



25 : 



30 







------- Inches - 









8.0 



8.2 



8.4 8.6 



8.8 



9.3 



10.0 



8.6 



8.9 



9.2 9.6 



9.8 



10.4 



11.0 



9.3 



9.7 



10.1 10.5 



10.8 



11.4 



12.0 



10.0 



10.4 



10.9 11.4 



11.9 



12.4 



13.0 



10.7 



11.2 



11.7 12.3 



12.9 



13.5 



14.0 



11.4 



11.9 



12.5 13.2 



13.9 



14,5 



15.0 



12.1 



12.6 



13.3 14.1 



14.9 



15.5 



16.0 



12.8 



13.3 



14.1 15.0 



16.0 



16.6 



17.0 



1 This table was derived from regression equations based on the following constants: 





Years after 













logging 



b coefficient 



a constant 



r^ 











0.685 



-M.125 



0.810 







5 



0.736 



+0.824 



0.854 







10 



0.811 



+0.329 



0.933 







15 



0.903 



+0.375 



0.970 







20 



1.026 



-1.451 



0.980 







25 



1.026 



-0.915 



0.992 





^Diameter class at year of measurement (1954) is also the independent variable 



in the 



regression equation. 











6 



